Create ML-Agents Package (#3267)

Convert the UnitySDK to a Packman Package.

- Separate Examples into a sample project.
- Move core UnitySDK Code into com.unity.ml-agents.
- Create asmdefs for the ml-agents package.
- Add package validation tests for win/linux/max.
- Update protobuf generation scripts.
- Add Barracuda as a package dependency for ML-Agents. (users no longer have to install it themselves).

.circleci/config.yml

             chmod +x Grpc.Tools.1.14.1/tools/linux_x64/protoc
             chmod +x Grpc.Tools.1.14.1/tools/linux_x64/grpc_csharp_plugin
             COMPILER=Grpc.Tools.1.14.1/tools/linux_x64 ./make.sh
-            CS_PROTO_PATH=UnitySDK/Assets/ML-Agents/Scripts/Grpc/CommunicatorObjects
+            CS_PROTO_PATH=com.unity.ml-agents/Runtime/Grpc/CommunicatorObjects
             git diff --exit-code --quiet -- :/ ":(exclude,top)$CS_PROTO_PATH/*.meta" \
               || { GIT_ERR=$?; echo "protobufs need to be regenerated, apply the patch uploaded to artifacts."; \
               echo "Apply the patch with the command: git apply proto.patch"; \

.gitignore

-/UnitySDK/[Ll]ibrary/
-/UnitySDK/Logs/
-/UnitySDK/[Tt]emp/
-/UnitySDK/[Oo]bj/
-/UnitySDK/[Bb]uild/
-/UnitySDK/[Bb]uilds/
-/UnitySDK/Assets/AssetStoreTools*
-/UnitySDK/Assets/Plugins*
-/UnitySDK/Assets/Demonstrations*
-/UnitySDK/csharp_timers.json
-
 # Tensorflow Model Info
 /models
 /summaries
 /UnitySDK/.vs/
 
 # Autogenerated VS/MD/Consulo solution and project files
-/UnitySDKExportedObj/
-/UnitySDK.consulo/
+/com.unity.ml-agentsExportedObj/
+/com.unity.ml-agents.consulo/
 *.csproj
 *.unityproj
 *.sln
 *.pidb.meta
 
 # Unity3D Generated File On Crash Reports
-/UnitySDK/sysinfo.txt
+/com.unity.ml-agents/sysinfo.txt
 
 # Builds
 *.apk
 *.x86_64
 *.x86
 
-# Tensorflow Sharp Files
-/UnitySDK/Assets/ML-Agents/Plugins/Android*
-/UnitySDK/Assets/ML-Agents/Plugins/iOS*
-/UnitySDK/Assets/ML-Agents/Plugins/Computer*
-/UnitySDK/Assets/ML-Agents/Plugins/System.Numerics*
-/UnitySDK/Assets/ML-Agents/Plugins/System.ValueTuple*
-
-/UnitySDK/Assets/ML-Agents/VideoRecorder*
+/com.unity.ml-agents/VideoRecorder*
 
 # Generated doc folders
 /docs/html

README.md

 
 The ML-Agents toolkit is an open-source project and we encourage and welcome
 contributions. If you wish to contribute, be sure to review our
-[contribution guidelines](CONTRIBUTING.md) and
+[contribution guidelines](com.unity.ml-agents/CONTRIBUTING.md) and
 [code of conduct](CODE_OF_CONDUCT.md).
 
 If you run into any problems using the ML-Agents toolkit,

config/gail_config.yaml

     max_steps: 5.0e5
     num_epoch: 3
     behavioral_cloning:
-        demo_path: UnitySDK/Assets/ML-Agents/Examples/Pyramids/Demos/ExpertPyramid.demo
+        demo_path: Project/Assets/ML-Agents/Examples/Pyramids/Demos/ExpertPyramid.demo
         strength: 0.5
         steps: 10000
     reward_signals:
             strength: 0.01
             gamma: 0.99
             encoding_size: 128
-            demo_path: UnitySDK/Assets/ML-Agents/Examples/Pyramids/Demos/ExpertPyramid.demo
+            demo_path: Project/Assets/ML-Agents/Examples/Pyramids/Demos/ExpertPyramid.demo
 
 CrawlerStatic:
     normalize: true
     num_layers: 3
     hidden_units: 512
     behavioral_cloning:
-        demo_path: UnitySDK/Assets/ML-Agents/Examples/Crawler/Demos/ExpertCrawlerSta.demo
+        demo_path: Project/Assets/ML-Agents/Examples/Crawler/Demos/ExpertCrawlerSta.demo
         strength: 0.5
         steps: 5000
     reward_signals:
             encoding_size: 128
-            demo_path: UnitySDK/Assets/ML-Agents/Examples/Crawler/Demos/ExpertCrawlerSta.demo
+            demo_path: Project/Assets/ML-Agents/Examples/Crawler/Demos/ExpertCrawlerSta.demo
 
 PushBlock:
     max_steps: 5.0e4
             strength: 1.0
             gamma: 0.99
             encoding_size: 128
-            demo_path: UnitySDK/Assets/ML-Agents/Examples/PushBlock/Demos/ExpertPush.demo
+            demo_path: Project/Assets/ML-Agents/Examples/PushBlock/Demos/ExpertPush.demo
 
 Hallway:
     use_recurrent: true
             strength: 0.1
             gamma: 0.99
             encoding_size: 128
-            demo_path: UnitySDK/Assets/ML-Agents/Examples/Hallway/Demos/ExpertHallway.demo
+            demo_path: Project/Assets/ML-Agents/Examples/Hallway/Demos/ExpertHallway.demo
 
 FoodCollector:
     batch_size: 64
             strength: 0.1
             gamma: 0.99
             encoding_size: 128
-            demo_path: UnitySDK/Assets/ML-Agents/Examples/FoodCollector/Demos/ExpertFood.demo
+            demo_path: Project/Assets/ML-Agents/Examples/FoodCollector/Demos/ExpertFood.demo
-        demo_path: UnitySDK/Assets/ML-Agents/Examples/FoodCollector/Demos/ExpertFood.demo
+        demo_path: Project/Assets/ML-Agents/Examples/FoodCollector/Demos/ExpertFood.demo
         strength: 1.0
         steps: 0

config/sac_trainer_config.yaml

             gamma: 0.99
             encoding_size: 128
             use_actions: true
-            demo_path: UnitySDK/Assets/ML-Agents/Examples/Pyramids/Demos/ExpertPyramid.demo
+            demo_path: Project/Assets/ML-Agents/Examples/Pyramids/Demos/ExpertPyramid.demo
 
 VisualPyramids:
     time_horizon: 128
             gamma: 0.99
             encoding_size: 128
             use_actions: true
-            demo_path: UnitySDK/Assets/ML-Agents/Examples/Pyramids/Demos/ExpertPyramid.demo
+            demo_path: Project/Assets/ML-Agents/Examples/Pyramids/Demos/ExpertPyramid.demo
 
 3DBall:
     normalize: true

docs/Basic-Guide.md

 
 1. Launch Unity
 2. On the Projects dialog, choose the **Open** option at the top of the window.
-3. Using the file dialog that opens, locate the `UnitySDK` folder
+3. Using the file dialog that opens, locate the `Project` folder
    within the ML-Agents toolkit project and click **Open**.
 4. Go to **Edit** > **Project Settings** > **Player**
 5. For **each** of the platforms you target (**PC, Mac and Linux Standalone**,
 [above](#running-a-pre-trained-model).
 
 1. Move your model file into
-   `UnitySDK/Assets/ML-Agents/Examples/3DBall/TFModels/`.
+   `Project/Assets/ML-Agents/Examples/3DBall/TFModels/`.
 2. Open the Unity Editor, and select the **3DBall** scene as described above.
 3. Select the  **3DBall** prefab Agent object.
 4. Drag the `<behavior_name>.nn` file from the Project window of

docs/Installation-Windows.md

 If you don't want to use Git, you can always directly download all the files
 [here](https://github.com/Unity-Technologies/ml-agents/archive/latest_release.zip).
 
-The `UnitySDK` subdirectory contains the Unity Assets to add to your projects.
-It also contains many [example environments](Learning-Environment-Examples.md)
+The `com.unity.ml-agents` subdirectory contains the core code to add to your projects.
+The `Project` subdirectory contains many [example environments](Learning-Environment-Examples.md)
 to help you get started.
 
 The `ml-agents` subdirectory contains a Python package which provides deep reinforcement

docs/Installation.md

 The `--branch latest_release` option will switch to the tag of the latest stable release.
 Omitting that will get the `master` branch which is potentially unstable.
 
-The `UnitySDK` subdirectory contains the Unity Assets to add to your projects.
-It also contains many [example environments](Learning-Environment-Examples.md)
+The `com.unity.ml-agents` subdirectory contains the core code to add to your projects.
+The `Project` subdirectory contains many [example environments](Learning-Environment-Examples.md)
-If you intend to copy the `UnitySDK` folder in to your project, ensure that
+If you intend to copy the `com.unity.ml-agents` folder in to your project, ensure that
 you have the [Barracuda preview package](https://docs.unity3d.com/Packages/com.unity.barracuda@0.3/manual/index.html) installed.
 
 To install the Barracuda package in later versions of Unity, navigate to the Package

docs/Learning-Environment-Create-New.md

     but is the default as of 2018.3.)
 3. In a file system window, navigate to the folder containing your cloned
     ML-Agents repository.
-4. Drag the `ML-Agents` folder from `UnitySDK/Assets` to the Unity
-    Editor Project window. If you see console errors about Barracuda, make sure
-    you've installed Barracuda from the Unity Package Manager. More information
-    can be found in the [installation instructions](Installation.md) under
+4. Open the `manifest.json` file in the `Packages` directory of your project.
+    Add the following line to your project's package dependencies:
+    ```
+        "com.unity.ml-agents" : "file:<path_to_local_ml-agents_repo>/com.unity.ml-agents"
+    ```
+    More information can be found in the [installation instructions](Installation.md) under
     **Package Installation**.
 
 Your Unity **Project** window should contain the following assets:

docs/Learning-Environment-Examples.md

 
 The Unity ML-Agents toolkit contains an expanding set of example environments
 which demonstrate various features of the platform. Environments are located in
-`UnitySDK/Assets/ML-Agents/Examples` and summarized below. Additionally, our
+`Project/Assets/ML-Agents/Examples` and summarized below. Additionally, our
 [first ML Challenge](https://connect.unity.com/challenges/ml-agents-1) contains
 environments created by the community.
 
 researchers.
 
 If you would like to contribute environments, please see our
-[contribution guidelines](../CONTRIBUTING.md) page.
+[contribution guidelines](../com.unity.ml-agents/CONTRIBUTING.md) page.
 
 ## Basic
 

docs/Learning-Environment-Executable.md

 
 1. Launch Unity.
 2. On the Projects dialog, choose the **Open** option at the top of the window.
-3. Using the file dialog that opens, locate the `UnitySDK` folder within the
+3. Using the file dialog that opens, locate the `Project` folder within the
    ML-Agents project and click **Open**.
 4. In the **Project** window, navigate to the folder
    `Assets/ML-Agents/Examples/3DBall/Scenes/`.
 into your Agent by following the steps below:
 
 1. Move your model file into
-   `UnitySDK/Assets/ML-Agents/Examples/3DBall/TFModels/`.
+   `Project/Assets/ML-Agents/Examples/3DBall/TFModels/`.
 2. Open the Unity Editor, and select the **3DBall** scene as described above.
 3. Select the **3DBall** prefab from the Project window and select **Agent**.
 5. Drag the `<behavior_name>.nn` file from the Project window of

docs/Reward-Signals.md

         strength: 0.01
         gamma: 0.99
         encoding_size: 128
-        demo_path: UnitySDK/Assets/ML-Agents/Examples/Pyramids/Demos/ExpertPyramid.demo
+        demo_path: Project/Assets/ML-Agents/Examples/Pyramids/Demos/ExpertPyramid.demo
 ```
 
 Each reward signal should define at least two parameters, `strength` and `gamma`, in addition

docs/Training-Curriculum-Learning.md

 
 Once our curriculum is defined, we have to use the reset parameters we defined
 and modify the environment from the Agent's `AgentReset()` function. See
-[WallJumpAgent.cs](https://github.com/Unity-Technologies/ml-agents/blob/master/UnitySDK/Assets/ML-Agents/Examples/WallJump/Scripts/WallJumpAgent.cs)
+[WallJumpAgent.cs](https://github.com/Unity-Technologies/ml-agents/blob/master/Project/Assets/ML-Agents/Examples/WallJump/Scripts/WallJumpAgent.cs)
 for an example.
 
 

docs/Training-PPO.md

 
 ```
     behavioral_cloning:
-        demo_path: ./UnitySDK/Assets/ML-Agents/Examples/Pyramids/Demos/ExpertPyramid.demo
+        demo_path: ./Project/Assets/ML-Agents/Examples/Pyramids/Demos/ExpertPyramid.demo
         strength: 0.5
         steps: 10000
 ```

docs/Training-SAC.md

 
 ```
     behavioral_cloning:
-        demo_path: ./UnitySDK/Assets/ML-Agents/Examples/Pyramids/Demos/ExpertPyramid.demo
+        demo_path: ./Project/Assets/ML-Agents/Examples/Pyramids/Demos/ExpertPyramid.demo
         strength: 0.5
         steps: 10000
 ```

docs/dox-ml-agents.conf

 # spaces. See also FILE_PATTERNS and EXTENSION_MAPPING
 # Note: If this tag is empty the current directory is searched.
 
-INPUT                  = ../UnitySDK/Assets/ML-Agents/Scripts/Academy.cs \
-                         ../UnitySDK/Assets/ML-Agents/Scripts/Agent.cs \
-                         ../UnitySDK/Assets/ML-Agents/Scripts/Monitor.cs \
-                         ../UnitySDK/Assets/ML-Agents/Scripts/Decision.cs
+INPUT                  = ../Project/Assets/ML-Agents/Scripts/Academy.cs \
+                         ../Project/Assets/ML-Agents/Scripts/Agent.cs \
+                         ../Project/Assets/ML-Agents/Scripts/Monitor.cs \
+                         ../Project/Assets/ML-Agents/Scripts/Decision.cs
 
 # This tag can be used to specify the character encoding of the source files
 # that doxygen parses. Internally doxygen uses the UTF-8 encoding. Doxygen uses

docs/localized/KR/README.md

 ## 커뮤니티 그리고 피드백
 
 ML-Agents toolkit은 오픈소스 프로젝트이며 컨트리뷰션을 환영합니다. 만약 컨트리뷰션을 원하시는 경우
-[컨트리뷰션 가이드라인](CONTRIBUTING.md)과 [행동 규칙](CODE_OF_CONDUCT.md)을 검토해주십시오.
+[컨트리뷰션 가이드라인](com/unity.ml-agents/CONTRIBUTING.md)과 [행동 규칙](CODE_OF_CONDUCT.md)을 검토해주십시오.
 
 만약 ML-Agents toolkit을 사용하며 문제가 생긴다면, 가능한 많은 세부 사항을 포함하여 [이슈 제출](https://github.com/Unity-Technologies/ml-agents/issues)을 해주십시오.
 
 
 장현준: totok682@naver.com
 
-민규식:  kyushikmin@gmail.com
+민규식:  kyushikmin@gmail.com

docs/localized/zh-CN/README.md

 
 ML-Agents 是一个开源项目，我们鼓励并欢迎大家贡献自己的力量。
 如果您想做出贡献，请务必查看我们的
-[贡献准则](/CONTRIBUTING.md)和
+[贡献准则](/com.unity.ml-agents/CONTRIBUTING.md)和
 [行为准则](/CODE_OF_CONDUCT.md)。
 
 您可以通过 Unity Connect 和 GitHub 与我们以及更广泛的社区进行交流：

docs/localized/zh-CN/docs/Learning-Environment-Examples.md

 页面。
 
 如果您想提交自己的环境，请参阅我们的
-[贡献指南](/CONTRIBUTING.md)页面。
+[贡献指南](/com.unity.ml-agents/CONTRIBUTING.md)页面。
 
 ## Basic
 

ml-agents/mlagents/trainers/tests/test_bcmodule.py

         use_recurrent: false
         memory_size: 8
         behavioral_cloning:
-          demo_path: ./UnitySDK/Assets/ML-Agents/Examples/Pyramids/Demos/ExpertPyramid.demo
+          demo_path: ./Project/Assets/ML-Agents/Examples/Pyramids/Demos/ExpertPyramid.demo
           strength: 1.0
           steps: 10000000
         reward_signals:
         use_recurrent: false
         vis_encode_type: simple
         behavioral_cloning:
-            demo_path: ./UnitySDK/Assets/ML-Agents/Examples/Pyramids/Demos/ExpertPyramid.demo
+            demo_path: ./Project/Assets/ML-Agents/Examples/Pyramids/Demos/ExpertPyramid.demo
             strength: 1.0
             steps: 10000000
         reward_signals:

ml-agents/mlagents/trainers/tests/test_reward_signals.py

         use_recurrent: false
         vis_encode_type: simple
         behavioral_cloning:
-            demo_path: ./UnitySDK/Assets/ML-Agents/Examples/Pyramids/Demos/ExpertPyramid.demo
+            demo_path: ./Project/Assets/ML-Agents/Examples/Pyramids/Demos/ExpertPyramid.demo
             strength: 1.0
             steps: 10000000
         reward_signals:

ml-agents/tests/yamato/editmode_tests.py

         "-logfile",
         "-",
         "-projectPath",
-        f"{base_path}/UnitySDK",
+        f"{base_path}/Project",
         "-testResults",
         f"{base_path}/results.xml",
         "-testPlatform",

ml-agents/tests/yamato/standalone_build_tests.py

     test_args = [
         unity_exe,
         "-projectPath",
-        f"{base_path}/UnitySDK",
+        f"{base_path}/Project",
         "-logfile",
         "-",
         "-batchmode",

protobuf-definitions/README.md

 2. Un-comment line 7 in `make.sh` (for Windows, use `make_for_win.bat`), and set to correct Grpc.Tools sub-directory.
 3. Run the protobuf generation script from the terminal by navigating to `$MLAGENTS_ROOT\protobuf-definitions` and entering `make.sh` (for Windows, use `make_for_win.bat`)
 4. Note any errors generated that may result from setting the wrong directory in step 2.
-5. In the generated `UnityToExternalGrpc.cs` file in the `$MLAGENTS_ROOT/UnitySDK/Assets/ML-Agents/Scripts/CommunicatorObjects` folder, check to see if you need to add the following to the beginning of the file:
+5. In the generated `UnityToExternalGrpc.cs` file in the `$MLAGENTS_ROOT/com.unity.ml-agents/Runtime/Grpc/CommunicatorObjects` folder, check to see if you need to add the following to the beginning of the file:
 
 ```csharp
 # if UNITY_EDITOR || UNITY_STANDALONE_WIN || UNITY_STANDALONE_OSX || UNITY_STANDALONE_LINUX

protobuf-definitions/make.sh

 # COMPILER=[DIRECTORY]
 
 SRC_DIR=proto/mlagents_envs/communicator_objects
-DST_DIR_C=../UnitySDK/Assets/ML-Agents/Scripts/Grpc/CommunicatorObjects
+DST_DIR_C=../com.unity.ml-agents/Runtime/Grpc/CommunicatorObjects
 DST_DIR_P=../ml-agents-envs
 PROTO_PATH=proto
 PYTHON_PACKAGE=mlagents_envs/communicator_objects
 
 # generate proto objects in python and C#
 
-$COMPILER/protoc --proto_path=proto --csharp_out=$DST_DIR_C $SRC_DIR/*.proto
+$COMPILER/protoc --proto_path=proto --csharp_opt=internal_access --csharp_out $DST_DIR_C $SRC_DIR/*.proto
 $COMPILER/protoc --proto_path=proto --python_out=$DST_DIR_P --mypy_out=$DST_DIR_P $SRC_DIR/*.proto
 
 # grpc
-$COMPILER/protoc --proto_path=proto --csharp_out $DST_DIR_C --grpc_out $DST_DIR_C $SRC_DIR/$GRPC --plugin=protoc-gen-grpc=$COMPILER/grpc_csharp_plugin
+$COMPILER/protoc --proto_path=proto --csharp_out=$DST_DIR_C --grpc_out=internal_access:$DST_DIR_C $SRC_DIR/$GRPC --plugin=protoc-gen-grpc=$COMPILER/grpc_csharp_plugin
 python3 -m grpc_tools.protoc --proto_path=proto --python_out=$DST_DIR_P --grpc_python_out=$DST_DIR_P $SRC_DIR/$GRPC
 
 

protobuf-definitions/make_for_win.bat

 rem set COMPILER=[DIRECTORY]
 
 set SRC_DIR=proto\mlagents_envs\communicator_objects
-set DST_DIR_C=..\UnitySDK\Assets\ML-Agents\Scripts\Grpc\CommunicatorObjects
+set DST_DIR_C=..\com.unity.ml-agents\Runtime\Grpc\CommunicatorObjects
 set DST_DIR_P=..\ml-agents-envs
 set PROTO_PATH=proto
 
 rem generate proto objects in python and C#
 
 for %%i in (%SRC_DIR%\*.proto) do (
-    %COMPILER%\protoc --proto_path=proto --csharp_out=%DST_DIR_C% %%i
+    %COMPILER%\protoc --proto_path=proto --csharp_opt=internal_access --csharp_out=%DST_DIR_C% %%i
     %COMPILER%\protoc --proto_path=proto --python_out=%DST_DIR_P% %%i
 )
 
 
-%COMPILER%\protoc --proto_path=proto --csharp_out %DST_DIR_C% --grpc_out %DST_DIR_C% %SRC_DIR%\%GRPC% --plugin=protoc-gen-grpc=%COMPILER%\grpc_csharp_plugin.exe
+%COMPILER%\protoc --proto_path=proto --csharp_out %DST_DIR_C% --grpc_out=internal_access:%DST_DIR_C% %SRC_DIR%\%GRPC% --plugin=protoc-gen-grpc=%COMPILER%\grpc_csharp_plugin.exe --csharp_opt=internal_access
 python -m grpc_tools.protoc --proto_path=proto --python_out=%DST_DIR_P% --grpc_python_out=%DST_DIR_P% %SRC_DIR%\%GRPC%
 
 rem Generate the init file for the python module

utils/validate_meta_files.py

 
 
 def main():
-    asset_path = "UnitySDK/Assets"
+    asset_path = "Project/Assets"
     meta_suffix = ".meta"
     python_suffix = ".py"
 

com.unity.ml-agents/CONTRIBUTING.md

 
 ## Communication
 
-First, please read through our [code of conduct](CODE_OF_CONDUCT.md), as we
+First, please read through our [code of conduct](https://github.com/Unity-Technologies/ml-agents/blob/master/CODE_OF_CONDUCT.md), as we
 expect all our contributors to follow it.
 
 Second, before starting on a project that you intend to contribute to the

com.unity.ml-agents/Plugins/ProtoBuffer/Grpc.Core.dll.meta

   serializedVersion: 2
   iconMap: {}
   executionOrder: {}
+  defineConstraints: []
+  isExplicitlyReferenced: 0
+  validateReferences: 1
   platformData:
   - first:
       '': Any
     second:
       enabled: 1
       settings:
-        CPU: x86_64
+        CPU: AnyCPU
   - first:
       Standalone: LinuxUniversal
     second:

com.unity.ml-agents/Plugins/ProtoBuffer/runtimes/win/native/grpc_csharp_ext.x64.dll.meta

   serializedVersion: 2
   iconMap: {}
   executionOrder: {}
+  defineConstraints: []
+  isExplicitlyReferenced: 0
+  validateReferences: 1
   platformData:
   - first:
       '': Any
     second:
       enabled: 1
       settings:
-        CPU: x86_64
+        CPU: AnyCPU
   - first:
       Standalone: LinuxUniversal
     second:

com.unity.ml-agents/Plugins/ProtoBuffer/runtimes/win/native/grpc_csharp_ext.x86.dll.meta

   serializedVersion: 2
   iconMap: {}
   executionOrder: {}
+  defineConstraints: []
+  isExplicitlyReferenced: 0
+  validateReferences: 1
   platformData:
   - first:
       '': Any
     second:
       enabled: 1
       settings:
-        CPU: x86_64
+        CPU: AnyCPU
   - first:
       Standalone: LinuxUniversal
     second:

com.unity.ml-agents/Plugins/ProtoBuffer/runtimes/linux/native/libgrpc_csharp_ext.x64.so.meta

   serializedVersion: 2
   iconMap: {}
   executionOrder: {}
+  defineConstraints: []
+  isExplicitlyReferenced: 0
+  validateReferences: 1
   platformData:
   - first:
       '': Any
     second:
       enabled: 1
       settings:
-        CPU: x86_64
+        CPU: AnyCPU
   - first:
       Standalone: LinuxUniversal
     second:

com.unity.ml-agents/Plugins/ProtoBuffer/runtimes/osx/native/libgrpc_csharp_ext.x64.bundle.meta

 fileFormatVersion: 2
 guid: 7eeb863bd08ba4388829c23da03a714f
 PluginImporter:
+  externalObjects: {}
+  defineConstraints: []
+  isExplicitlyReferenced: 0
+  validateReferences: 1
-    data:
-      first:
-        '': Any
-      second:
-        enabled: 0
-        settings:
-          Exclude Android: 1
-          Exclude Editor: 0
-          Exclude Linux: 1
-          Exclude Linux64: 1
-          Exclude LinuxUniversal: 1
-          Exclude OSXIntel: 0
-          Exclude OSXIntel64: 0
-          Exclude OSXUniversal: 0
-          Exclude Win: 1
-          Exclude Win64: 1
-          Exclude iOS: 1
-    data:
-      first:
-        '': OSXIntel
-      second:
-        enabled: 1
-        settings: {}
-    data:
-      first:
-        '': OSXIntel64
-      second:
-        enabled: 1
-        settings: {}
-    data:
-      first:
-        Android: Android
-      second:
-        enabled: 0
-        settings:
-          CPU: ARMv7
-    data:
-      first:
-        Any: 
-      second:
-        enabled: 0
-        settings: {}
-    data:
-      first:
-        Editor: Editor
-      second:
-        enabled: 1
-        settings:
-          CPU: x86_64
-          DefaultValueInitialized: true
-          OS: OSX
-    data:
-      first:
-        Facebook: Win
-      second:
-        enabled: 0
-        settings:
-          CPU: AnyCPU
-    data:
-      first:
-        Facebook: Win64
-      second:
-        enabled: 0
-        settings:
-          CPU: AnyCPU
-    data:
-      first:
-        Standalone: Linux
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-      second:
-        enabled: 0
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-    data:
-      first:
-        Standalone: OSXIntel
-      second:
-        enabled: 1
-        settings:
-          CPU: AnyCPU
-    data:
-      first:
-        Standalone: OSXIntel64
-      second:
-        enabled: 1
-        settings:
-          CPU: AnyCPU
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-        Standalone: OSXUniversal
-      second:
-        enabled: 1
-        settings:
-          CPU: AnyCPU
-    data:
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-      second:
-        enabled: 0
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-          CPU: AnyCPU
-    data:
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-      second:
-        enabled: 0
-        settings:
-          CPU: AnyCPU
-    data:
-      first:
-        iPhone: iOS
-      second:
-        enabled: 0
-        settings:
-          AddToEmbeddedBinaries: false
-          CompileFlags: 
-          FrameworkDependencies: 
+  - first:
+      '': Any
+    second:
+      enabled: 0
+      settings:
+        Exclude Android: 1
+        Exclude Editor: 0
+        Exclude Linux: 1
+        Exclude Linux64: 1
+        Exclude LinuxUniversal: 1
+        Exclude OSXIntel: 0
+        Exclude OSXIntel64: 0
+        Exclude OSXUniversal: 0
+        Exclude Win: 1
+        Exclude Win64: 1
+        Exclude iOS: 1
+  - first:
+      '': OSXIntel
+    second:
+      enabled: 1
+      settings: {}
+  - first:
+      '': OSXIntel64
+    second:
+      enabled: 1
+      settings: {}
+  - first:
+      Android: Android
+    second:
+      enabled: 0
+      settings:
+        CPU: ARMv7
+  - first:
+      Any: 
+    second:
+      enabled: 0
+      settings: {}
+  - first:
+      Editor: Editor
+    second:
+      enabled: 1
+      settings:
+        CPU: x86_64
+        DefaultValueInitialized: true
+        OS: OSX
+  - first:
+      Facebook: Win
+    second:
+      enabled: 0
+      settings:
+        CPU: AnyCPU
+  - first:
+      Facebook: Win64
+    second:
+      enabled: 0
+      settings:
+        CPU: AnyCPU
+  - first:
+      Standalone: Linux
+    second:
+      enabled: 0
+      settings:
+        CPU: x86
+  - first:
+      Standalone: Linux64
+    second:
+      enabled: 0
+      settings:
+        CPU: AnyCPU
+  - first:
+      Standalone: LinuxUniversal
+    second:
+      enabled: 0
+      settings:
+        CPU: None
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+      Standalone: OSXIntel
+    second:
+      enabled: 1
+      settings:
+        CPU: AnyCPU
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+    second:
+      enabled: 1
+      settings:
+        CPU: AnyCPU
+  - first:
+      Standalone: OSXUniversal
+    second:
+      enabled: 1
+      settings:
+        CPU: AnyCPU
+  - first:
+      Standalone: Win
+    second:
+      enabled: 0
+      settings:
+        CPU: AnyCPU
+  - first:
+      Standalone: Win64
+    second:
+      enabled: 0
+      settings:
+        CPU: AnyCPU
+  - first:
+      iPhone: iOS
+    second:
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+        CompileFlags: 
+        FrameworkDependencies: 
   userData: 
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com.unity.ml-agents/Runtime/Grpc/GrpcExtensions.cs

 using MLAgents.CommunicatorObjects;
 using MLAgents.Sensor;
 using UnityEngine;
+using System.Runtime.CompilerServices;
+
+[assembly: InternalsVisibleTo("Unity.ML-Agents.Editor")]
+[assembly: InternalsVisibleTo("Unity.ML-Agents.Editor.Tests")]
 
 namespace MLAgents
 {
         /// Converts a AgentInfo to a protobuf generated AgentInfoActionPairProto
         /// </summary>
         /// <returns>The protobuf version of the AgentInfoActionPairProto.</returns>
-        public static AgentInfoActionPairProto ToInfoActionPairProto(this AgentInfo ai)
+        internal static AgentInfoActionPairProto ToInfoActionPairProto(this AgentInfo ai)
         {
             var agentInfoProto = ai.ToAgentInfoProto();
 
         /// Converts a AgentInfo to a protobuf generated AgentInfoProto
         /// </summary>
         /// <returns>The protobuf version of the AgentInfo.</returns>
-        public static AgentInfoProto ToAgentInfoProto(this AgentInfo ai)
+        internal static AgentInfoProto ToAgentInfoProto(this AgentInfo ai)
         {
             var agentInfoProto = new AgentInfoProto
             {
         /// <param name="bp">The instance of BrainParameter to extend.</param>
         /// <param name="name">The name of the brain.</param>
         /// <param name="isTraining">Whether or not the Brain is training.</param>
-        public static BrainParametersProto ToProto(this BrainParameters bp, string name, bool isTraining)
+        internal static BrainParametersProto ToProto(this BrainParameters bp, string name, bool isTraining)
         {
             var brainParametersProto = new BrainParametersProto
             {
         /// <summary>
         /// Convert metadata object to proto object.
         /// </summary>
-        public static DemonstrationMetaProto ToProto(this DemonstrationMetaData dm)
+        internal static DemonstrationMetaProto ToProto(this DemonstrationMetaData dm)
         {
             var demoProto = new DemonstrationMetaProto
             {
         /// <summary>
         /// Initialize metadata values based on proto object.
         /// </summary>
-        public static DemonstrationMetaData ToDemonstrationMetaData(this DemonstrationMetaProto demoProto)
+        internal static DemonstrationMetaData ToDemonstrationMetaData(this DemonstrationMetaProto demoProto)
         {
             var dm = new DemonstrationMetaData
             {
         /// </summary>
         /// <param name="bpp">An instance of a brain parameters protobuf object.</param>
         /// <returns>A BrainParameters struct.</returns>
-        public static BrainParameters ToBrainParameters(this BrainParametersProto bpp)
+        internal static BrainParameters ToBrainParameters(this BrainParametersProto bpp)
         {
             var bp = new BrainParameters
             {
         }
 
 
-        public static UnityRLInitParameters ToUnityRLInitParameters(this UnityRLInitializationInputProto inputProto)
+        internal static UnityRLInitParameters ToUnityRLInitParameters(this UnityRLInitializationInputProto inputProto)
         {
             return new UnityRLInitParameters
             {
 
-        public static AgentAction ToAgentAction(this AgentActionProto aap)
+        internal static AgentAction ToAgentAction(this AgentActionProto aap)
         {
             return new AgentAction
             {
 
-        public static List<AgentAction> ToAgentActionList(this UnityRLInputProto.Types.ListAgentActionProto proto)
+        internal static List<AgentAction> ToAgentActionList(this UnityRLInputProto.Types.ListAgentActionProto proto)
         {
             var agentActions = new List<AgentAction>(proto.Value.Count);
             foreach (var ap in proto.Value)
             return agentActions;
         }
 
-        public static ObservationProto ToProto(this Observation obs)
+        internal static ObservationProto ToProto(this Observation obs)
         {
             ObservationProto obsProto = null;
 
         /// <param name="sensor"></param>
         /// <param name="writeAdapter"></param>
         /// <returns></returns>
-        public static ObservationProto GetObservationProto(this ISensor sensor, WriteAdapter writeAdapter)
+        internal static ObservationProto GetObservationProto(this ISensor sensor, WriteAdapter writeAdapter)
         {
             var shape = sensor.GetObservationShape();
             ObservationProto observationProto = null;

com.unity.ml-agents/Runtime/Grpc/CommunicatorObjects/AgentAction.cs

 namespace MLAgents.CommunicatorObjects {
 
   /// <summary>Holder for reflection information generated from mlagents_envs/communicator_objects/agent_action.proto</summary>
-  public static partial class AgentActionReflection {
+  internal static partial class AgentActionReflection {
 
     #region Descriptor
     /// <summary>File descriptor for mlagents_envs/communicator_objects/agent_action.proto</summary>
 
   }
   #region Messages
-  public sealed partial class AgentActionProto : pb::IMessage<AgentActionProto> {
+  internal sealed partial class AgentActionProto : pb::IMessage<AgentActionProto> {
     private static readonly pb::MessageParser<AgentActionProto> _parser = new pb::MessageParser<AgentActionProto>(() => new AgentActionProto());
     private pb::UnknownFieldSet _unknownFields;
     [global::System.Diagnostics.DebuggerNonUserCodeAttribute]

com.unity.ml-agents/Runtime/Grpc/CommunicatorObjects/AgentInfo.cs

 namespace MLAgents.CommunicatorObjects {
 
   /// <summary>Holder for reflection information generated from mlagents_envs/communicator_objects/agent_info.proto</summary>
-  public static partial class AgentInfoReflection {
+  internal static partial class AgentInfoReflection {
 
     #region Descriptor
     /// <summary>File descriptor for mlagents_envs/communicator_objects/agent_info.proto</summary>
 
   }
   #region Messages
-  public sealed partial class AgentInfoProto : pb::IMessage<AgentInfoProto> {
+  internal sealed partial class AgentInfoProto : pb::IMessage<AgentInfoProto> {
     private static readonly pb::MessageParser<AgentInfoProto> _parser = new pb::MessageParser<AgentInfoProto>(() => new AgentInfoProto());
     private pb::UnknownFieldSet _unknownFields;
     [global::System.Diagnostics.DebuggerNonUserCodeAttribute]

com.unity.ml-agents/Runtime/Grpc/CommunicatorObjects/AgentInfoActionPair.cs

 namespace MLAgents.CommunicatorObjects {
 
   /// <summary>Holder for reflection information generated from mlagents_envs/communicator_objects/agent_info_action_pair.proto</summary>
-  public static partial class AgentInfoActionPairReflection {
+  internal static partial class AgentInfoActionPairReflection {
 
     #region Descriptor
     /// <summary>File descriptor for mlagents_envs/communicator_objects/agent_info_action_pair.proto</summary>
 
   }
   #region Messages
-  public sealed partial class AgentInfoActionPairProto : pb::IMessage<AgentInfoActionPairProto> {
+  internal sealed partial class AgentInfoActionPairProto : pb::IMessage<AgentInfoActionPairProto> {
     private static readonly pb::MessageParser<AgentInfoActionPairProto> _parser = new pb::MessageParser<AgentInfoActionPairProto>(() => new AgentInfoActionPairProto());
     private pb::UnknownFieldSet _unknownFields;
     [global::System.Diagnostics.DebuggerNonUserCodeAttribute]

com.unity.ml-agents/Runtime/Grpc/CommunicatorObjects/BrainParameters.cs

 namespace MLAgents.CommunicatorObjects {
 
   /// <summary>Holder for reflection information generated from mlagents_envs/communicator_objects/brain_parameters.proto</summary>
-  public static partial class BrainParametersReflection {
+  internal static partial class BrainParametersReflection {
 
     #region Descriptor
     /// <summary>File descriptor for mlagents_envs/communicator_objects/brain_parameters.proto</summary>
 
   }
   #region Messages
-  public sealed partial class BrainParametersProto : pb::IMessage<BrainParametersProto> {
+  internal sealed partial class BrainParametersProto : pb::IMessage<BrainParametersProto> {
     private static readonly pb::MessageParser<BrainParametersProto> _parser = new pb::MessageParser<BrainParametersProto>(() => new BrainParametersProto());
     private pb::UnknownFieldSet _unknownFields;
     [global::System.Diagnostics.DebuggerNonUserCodeAttribute]

com.unity.ml-agents/Runtime/Grpc/CommunicatorObjects/Command.cs

 namespace MLAgents.CommunicatorObjects {
 
   /// <summary>Holder for reflection information generated from mlagents_envs/communicator_objects/command.proto</summary>
-  public static partial class CommandReflection {
+  internal static partial class CommandReflection {
 
     #region Descriptor
     /// <summary>File descriptor for mlagents_envs/communicator_objects/command.proto</summary>
 
   }
   #region Enums
-  public enum CommandProto {
+  internal enum CommandProto {
     [pbr::OriginalName("STEP")] Step = 0,
     [pbr::OriginalName("RESET")] Reset = 1,
     [pbr::OriginalName("QUIT")] Quit = 2,

com.unity.ml-agents/Runtime/Grpc/CommunicatorObjects/CustomResetParameters.cs

 namespace MLAgents.CommunicatorObjects {
 
   /// <summary>Holder for reflection information generated from mlagents_envs/communicator_objects/custom_reset_parameters.proto</summary>
-  public static partial class CustomResetParametersReflection {
+  internal static partial class CustomResetParametersReflection {
 
     #region Descriptor
     /// <summary>File descriptor for mlagents_envs/communicator_objects/custom_reset_parameters.proto</summary>
 
   }
   #region Messages
-  public sealed partial class CustomResetParametersProto : pb::IMessage<CustomResetParametersProto> {
+  internal sealed partial class CustomResetParametersProto : pb::IMessage<CustomResetParametersProto> {
     private static readonly pb::MessageParser<CustomResetParametersProto> _parser = new pb::MessageParser<CustomResetParametersProto>(() => new CustomResetParametersProto());
     private pb::UnknownFieldSet _unknownFields;
     [global::System.Diagnostics.DebuggerNonUserCodeAttribute]

com.unity.ml-agents/Runtime/Grpc/CommunicatorObjects/DemonstrationMeta.cs

 namespace MLAgents.CommunicatorObjects {
 
   /// <summary>Holder for reflection information generated from mlagents_envs/communicator_objects/demonstration_meta.proto</summary>
-  public static partial class DemonstrationMetaReflection {
+  internal static partial class DemonstrationMetaReflection {
 
     #region Descriptor
     /// <summary>File descriptor for mlagents_envs/communicator_objects/demonstration_meta.proto</summary>
 
   }
   #region Messages
-  public sealed partial class DemonstrationMetaProto : pb::IMessage<DemonstrationMetaProto> {
+  internal sealed partial class DemonstrationMetaProto : pb::IMessage<DemonstrationMetaProto> {
     private static readonly pb::MessageParser<DemonstrationMetaProto> _parser = new pb::MessageParser<DemonstrationMetaProto>(() => new DemonstrationMetaProto());
     private pb::UnknownFieldSet _unknownFields;
     [global::System.Diagnostics.DebuggerNonUserCodeAttribute]

com.unity.ml-agents/Runtime/Grpc/CommunicatorObjects/EngineConfiguration.cs

 namespace MLAgents.CommunicatorObjects {
 
   /// <summary>Holder for reflection information generated from mlagents_envs/communicator_objects/engine_configuration.proto</summary>
-  public static partial class EngineConfigurationReflection {
+  internal static partial class EngineConfigurationReflection {
 
     #region Descriptor
     /// <summary>File descriptor for mlagents_envs/communicator_objects/engine_configuration.proto</summary>
 
   }
   #region Messages
-  public sealed partial class EngineConfigurationProto : pb::IMessage<EngineConfigurationProto> {
+  internal sealed partial class EngineConfigurationProto : pb::IMessage<EngineConfigurationProto> {
     private static readonly pb::MessageParser<EngineConfigurationProto> _parser = new pb::MessageParser<EngineConfigurationProto>(() => new EngineConfigurationProto());
     private pb::UnknownFieldSet _unknownFields;
     [global::System.Diagnostics.DebuggerNonUserCodeAttribute]

com.unity.ml-agents/Runtime/Grpc/CommunicatorObjects/Header.cs

 namespace MLAgents.CommunicatorObjects {
 
   /// <summary>Holder for reflection information generated from mlagents_envs/communicator_objects/header.proto</summary>
-  public static partial class HeaderReflection {
+  internal static partial class HeaderReflection {
 
     #region Descriptor
     /// <summary>File descriptor for mlagents_envs/communicator_objects/header.proto</summary>
 
   }
   #region Messages
-  public sealed partial class HeaderProto : pb::IMessage<HeaderProto> {
+  internal sealed partial class HeaderProto : pb::IMessage<HeaderProto> {
     private static readonly pb::MessageParser<HeaderProto> _parser = new pb::MessageParser<HeaderProto>(() => new HeaderProto());
     private pb::UnknownFieldSet _unknownFields;
     [global::System.Diagnostics.DebuggerNonUserCodeAttribute]

com.unity.ml-agents/Runtime/Grpc/CommunicatorObjects/Observation.cs

 namespace MLAgents.CommunicatorObjects {
 
   /// <summary>Holder for reflection information generated from mlagents_envs/communicator_objects/observation.proto</summary>
-  public static partial class ObservationReflection {
+  internal static partial class ObservationReflection {
 
     #region Descriptor
     /// <summary>File descriptor for mlagents_envs/communicator_objects/observation.proto</summary>
 
   }
   #region Enums
-  public enum CompressionTypeProto {
+  internal enum CompressionTypeProto {
     [pbr::OriginalName("NONE")] None = 0,
     [pbr::OriginalName("PNG")] Png = 1,
   }
   #region Messages
-  public sealed partial class ObservationProto : pb::IMessage<ObservationProto> {
+  internal sealed partial class ObservationProto : pb::IMessage<ObservationProto> {
     private static readonly pb::MessageParser<ObservationProto> _parser = new pb::MessageParser<ObservationProto>(() => new ObservationProto());
     private pb::UnknownFieldSet _unknownFields;
     [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
     /// <summary>Container for nested types declared in the ObservationProto message type.</summary>
     [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
     public static partial class Types {
-      public sealed partial class FloatData : pb::IMessage<FloatData> {
+      internal sealed partial class FloatData : pb::IMessage<FloatData> {
         private static readonly pb::MessageParser<FloatData> _parser = new pb::MessageParser<FloatData>(() => new FloatData());
         private pb::UnknownFieldSet _unknownFields;
         [global::System.Diagnostics.DebuggerNonUserCodeAttribute]

com.unity.ml-agents/Runtime/Grpc/CommunicatorObjects/SpaceType.cs

 namespace MLAgents.CommunicatorObjects {
 
   /// <summary>Holder for reflection information generated from mlagents_envs/communicator_objects/space_type.proto</summary>
-  public static partial class SpaceTypeReflection {
+  internal static partial class SpaceTypeReflection {
 
     #region Descriptor
     /// <summary>File descriptor for mlagents_envs/communicator_objects/space_type.proto</summary>
 
   }
   #region Enums
-  public enum SpaceTypeProto {
+  internal enum SpaceTypeProto {
     [pbr::OriginalName("discrete")] Discrete = 0,
     [pbr::OriginalName("continuous")] Continuous = 1,
   }

com.unity.ml-agents/Runtime/Grpc/CommunicatorObjects/UnityInput.cs

 namespace MLAgents.CommunicatorObjects {
 
   /// <summary>Holder for reflection information generated from mlagents_envs/communicator_objects/unity_input.proto</summary>
-  public static partial class UnityInputReflection {
+  internal static partial class UnityInputReflection {
 
     #region Descriptor
     /// <summary>File descriptor for mlagents_envs/communicator_objects/unity_input.proto</summary>
 
   }
   #region Messages
-  public sealed partial class UnityInputProto : pb::IMessage<UnityInputProto> {
+  internal sealed partial class UnityInputProto : pb::IMessage<UnityInputProto> {
     private static readonly pb::MessageParser<UnityInputProto> _parser = new pb::MessageParser<UnityInputProto>(() => new UnityInputProto());
     private pb::UnknownFieldSet _unknownFields;
     [global::System.Diagnostics.DebuggerNonUserCodeAttribute]

com.unity.ml-agents/Runtime/Grpc/CommunicatorObjects/UnityMessage.cs

 namespace MLAgents.CommunicatorObjects {
 
   /// <summary>Holder for reflection information generated from mlagents_envs/communicator_objects/unity_message.proto</summary>
-  public static partial class UnityMessageReflection {
+  internal static partial class UnityMessageReflection {
 
     #region Descriptor
     /// <summary>File descriptor for mlagents_envs/communicator_objects/unity_message.proto</summary>
 
   }
   #region Messages
-  public sealed partial class UnityMessageProto : pb::IMessage<UnityMessageProto> {
+  internal sealed partial class UnityMessageProto : pb::IMessage<UnityMessageProto> {
     private static readonly pb::MessageParser<UnityMessageProto> _parser = new pb::MessageParser<UnityMessageProto>(() => new UnityMessageProto());
     private pb::UnknownFieldSet _unknownFields;
     [global::System.Diagnostics.DebuggerNonUserCodeAttribute]

com.unity.ml-agents/Runtime/Grpc/CommunicatorObjects/UnityOutput.cs

 namespace MLAgents.CommunicatorObjects {
 
   /// <summary>Holder for reflection information generated from mlagents_envs/communicator_objects/unity_output.proto</summary>
-  public static partial class UnityOutputReflection {
+  internal static partial class UnityOutputReflection {
 
     #region Descriptor
     /// <summary>File descriptor for mlagents_envs/communicator_objects/unity_output.proto</summary>
 
   }
   #region Messages
-  public sealed partial class UnityOutputProto : pb::IMessage<UnityOutputProto> {
+  internal sealed partial class UnityOutputProto : pb::IMessage<UnityOutputProto> {
     private static readonly pb::MessageParser<UnityOutputProto> _parser = new pb::MessageParser<UnityOutputProto>(() => new UnityOutputProto());
     private pb::UnknownFieldSet _unknownFields;
     [global::System.Diagnostics.DebuggerNonUserCodeAttribute]

com.unity.ml-agents/Runtime/Grpc/CommunicatorObjects/UnityRlInitializationInput.cs

 namespace MLAgents.CommunicatorObjects {
 
   /// <summary>Holder for reflection information generated from mlagents_envs/communicator_objects/unity_rl_initialization_input.proto</summary>
-  public static partial class UnityRlInitializationInputReflection {
+  internal static partial class UnityRlInitializationInputReflection {
 
     #region Descriptor
     /// <summary>File descriptor for mlagents_envs/communicator_objects/unity_rl_initialization_input.proto</summary>
 
   }
   #region Messages
-  public sealed partial class UnityRLInitializationInputProto : pb::IMessage<UnityRLInitializationInputProto> {
+  internal sealed partial class UnityRLInitializationInputProto : pb::IMessage<UnityRLInitializationInputProto> {
     private static readonly pb::MessageParser<UnityRLInitializationInputProto> _parser = new pb::MessageParser<UnityRLInitializationInputProto>(() => new UnityRLInitializationInputProto());
     private pb::UnknownFieldSet _unknownFields;
     [global::System.Diagnostics.DebuggerNonUserCodeAttribute]

com.unity.ml-agents/Runtime/Grpc/CommunicatorObjects/UnityRlInitializationOutput.cs

 namespace MLAgents.CommunicatorObjects {
 
   /// <summary>Holder for reflection information generated from mlagents_envs/communicator_objects/unity_rl_initialization_output.proto</summary>
-  public static partial class UnityRlInitializationOutputReflection {
+  internal static partial class UnityRlInitializationOutputReflection {
 
     #region Descriptor
     /// <summary>File descriptor for mlagents_envs/communicator_objects/unity_rl_initialization_output.proto</summary>
   /// <summary>
   /// The request message containing the academy's parameters.
   /// </summary>
-  public sealed partial class UnityRLInitializationOutputProto : pb::IMessage<UnityRLInitializationOutputProto> {
+  internal sealed partial class UnityRLInitializationOutputProto : pb::IMessage<UnityRLInitializationOutputProto> {
     private static readonly pb::MessageParser<UnityRLInitializationOutputProto> _parser = new pb::MessageParser<UnityRLInitializationOutputProto>(() => new UnityRLInitializationOutputProto());
     private pb::UnknownFieldSet _unknownFields;
     [global::System.Diagnostics.DebuggerNonUserCodeAttribute]

com.unity.ml-agents/Runtime/Grpc/CommunicatorObjects/UnityRlInput.cs

 namespace MLAgents.CommunicatorObjects {
 
   /// <summary>Holder for reflection information generated from mlagents_envs/communicator_objects/unity_rl_input.proto</summary>
-  public static partial class UnityRlInputReflection {
+  internal static partial class UnityRlInputReflection {
 
     #region Descriptor
     /// <summary>File descriptor for mlagents_envs/communicator_objects/unity_rl_input.proto</summary>
 
   }
   #region Messages