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ml-agents
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[protobuf] Update protobufs with patch from circleci. (#2618)

/develop-gpu-test
GitHub 5 年前
当前提交
f7288f5d
共有 54 个文件被更改，包括 1676 次插入 和 2558 次删除
  1. 5
      .pre-commit-config.yaml
  2. 8
      UnitySDK/Assets/ML-Agents/Scripts/CommunicatorObjects/AgentActionProto.cs
  3. 8
      UnitySDK/Assets/ML-Agents/Scripts/CommunicatorObjects/AgentInfoProto.cs
  4. 2
      UnitySDK/Assets/ML-Agents/Scripts/CommunicatorObjects/BrainParametersProto.cs
  5. 8
      UnitySDK/Assets/ML-Agents/Scripts/CommunicatorObjects/EnvironmentParametersProto.cs
  6. 16
      UnitySDK/Assets/ML-Agents/Scripts/CommunicatorObjects/UnityInput.cs
  7. 24
      UnitySDK/Assets/ML-Agents/Scripts/CommunicatorObjects/UnityMessage.cs
  8. 16
      UnitySDK/Assets/ML-Agents/Scripts/CommunicatorObjects/UnityOutput.cs
  9. 8
      UnitySDK/Assets/ML-Agents/Scripts/CommunicatorObjects/UnityRlInitializationOutput.cs
  10. 10
      UnitySDK/Assets/ML-Agents/Scripts/CommunicatorObjects/UnityRlInput.cs
  11. 46
      UnitySDK/Assets/ML-Agents/Scripts/CommunicatorObjects/UnityRlOutput.cs
  12. 9
      UnitySDK/Assets/ML-Agents/Scripts/CommunicatorObjects/UnityToExternalGrpc.cs
  13. 216
      ml-agents-envs/mlagents/envs/communicator_objects/agent_action_proto_pb2.py
  14. 8
      ml-agents-envs/mlagents/envs/communicator_objects/agent_action_proto_pb2.pyi
  15. 391
      ml-agents-envs/mlagents/envs/communicator_objects/agent_info_proto_pb2.py
  16. 8
      ml-agents-envs/mlagents/envs/communicator_objects/agent_info_proto_pb2.pyi
  17. 302
      ml-agents-envs/mlagents/envs/communicator_objects/brain_parameters_proto_pb2.py
  18. 8
      ml-agents-envs/mlagents/envs/communicator_objects/brain_parameters_proto_pb2.pyi
  19. 65
      ml-agents-envs/mlagents/envs/communicator_objects/command_proto_pb2.py
  20. 3
      ml-agents-envs/mlagents/envs/communicator_objects/command_proto_pb2.pyi
  21. 76
      ml-agents-envs/mlagents/envs/communicator_objects/custom_action_pb2.py
  22. 5
      ml-agents-envs/mlagents/envs/communicator_objects/custom_action_pb2.pyi
  23. 76
      ml-agents-envs/mlagents/envs/communicator_objects/custom_observation_pb2.py
  24. 5
      ml-agents-envs/mlagents/envs/communicator_objects/custom_observation_pb2.pyi
  25. 76
      ml-agents-envs/mlagents/envs/communicator_objects/custom_reset_parameters_pb2.py
  26. 5
      ml-agents-envs/mlagents/envs/communicator_objects/custom_reset_parameters_pb2.pyi
  27. 202
      ml-agents-envs/mlagents/envs/communicator_objects/demonstration_meta_proto_pb2.py
  28. 8
      ml-agents-envs/mlagents/envs/communicator_objects/demonstration_meta_proto_pb2.pyi
  29. 227
      ml-agents-envs/mlagents/envs/communicator_objects/engine_configuration_proto_pb2.py
  30. 8
      ml-agents-envs/mlagents/envs/communicator_objects/engine_configuration_proto_pb2.pyi
  31. 257
      ml-agents-envs/mlagents/envs/communicator_objects/environment_parameters_proto_pb2.py
  32. 12
      ml-agents-envs/mlagents/envs/communicator_objects/environment_parameters_proto_pb2.pyi
  33. 127
      ml-agents-envs/mlagents/envs/communicator_objects/header_pb2.py
  34. 8
      ml-agents-envs/mlagents/envs/communicator_objects/header_pb2.pyi
  35. 152
      ml-agents-envs/mlagents/envs/communicator_objects/resolution_proto_pb2.py
  36. 8
      ml-agents-envs/mlagents/envs/communicator_objects/resolution_proto_pb2.pyi
  37. 66
      ml-agents-envs/mlagents/envs/communicator_objects/space_type_proto_pb2.py
  38. 2
      ml-agents-envs/mlagents/envs/communicator_objects/space_type_proto_pb2.pyi
  39. 152
      ml-agents-envs/mlagents/envs/communicator_objects/unity_input_pb2.py
  40. 8
      ml-agents-envs/mlagents/envs/communicator_objects/unity_input_pb2.pyi
  41. 186
      ml-agents-envs/mlagents/envs/communicator_objects/unity_message_pb2.py
  42. 8
      ml-agents-envs/mlagents/envs/communicator_objects/unity_message_pb2.pyi
  43. 152
      ml-agents-envs/mlagents/envs/communicator_objects/unity_output_pb2.py
  44. 8
      ml-agents-envs/mlagents/envs/communicator_objects/unity_output_pb2.pyi
  45. 104
      ml-agents-envs/mlagents/envs/communicator_objects/unity_rl_initialization_input_pb2.py
  46. 8
      ml-agents-envs/mlagents/envs/communicator_objects/unity_rl_initialization_input_pb2.pyi
  47. 229
      ml-agents-envs/mlagents/envs/communicator_objects/unity_rl_initialization_output_pb2.py
  48. 8
      ml-agents-envs/mlagents/envs/communicator_objects/unity_rl_initialization_output_pb2.pyi
  49. 405
      ml-agents-envs/mlagents/envs/communicator_objects/unity_rl_input_pb2.py
  50. 16
      ml-agents-envs/mlagents/envs/communicator_objects/unity_rl_input_pb2.pyi
  51. 326
      ml-agents-envs/mlagents/envs/communicator_objects/unity_rl_output_pb2.py
  52. 20
      ml-agents-envs/mlagents/envs/communicator_objects/unity_rl_output_pb2.pyi
  53. 68
      ml-agents-envs/mlagents/envs/communicator_objects/unity_to_external_pb2.py
  54. 55
      ml-agents-envs/mlagents/envs/communicator_objects/unity_to_external_pb2_grpc.py

5
.pre-commit-config.yaml
查看文件


rev: 19.3b0
hooks:
- id: black
exclude: >
(?x)^(
.*_pb2.py|
.*_pb2_grpc.py
)$
- repo: https://github.com/pre-commit/mirrors-mypy
rev: v0.720
hooks:

8
UnitySDK/Assets/ML-Agents/Scripts/CommunicatorObjects/AgentActionProto.cs
查看文件


textActions_ = other.textActions_;
memories_ = other.memories_.Clone();
value_ = other.value_;
customAction_ = other.customAction_ != null ? other.customAction_.Clone() : null;
CustomAction = other.customAction_ != null ? other.CustomAction.Clone() : null;
_unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
}

}
if (other.customAction_ != null) {
if (customAction_ == null) {
CustomAction = new global::MLAgents.CommunicatorObjects.CustomAction();
customAction_ = new global::MLAgents.CommunicatorObjects.CustomAction();
}
CustomAction.MergeFrom(other.CustomAction);
}

}
case 42: {
if (customAction_ == null) {
CustomAction = new global::MLAgents.CommunicatorObjects.CustomAction();
customAction_ = new global::MLAgents.CommunicatorObjects.CustomAction();
input.ReadMessage(CustomAction);
input.ReadMessage(customAction_);
break;
}
}

8
UnitySDK/Assets/ML-Agents/Scripts/CommunicatorObjects/AgentInfoProto.cs
查看文件


maxStepReached_ = other.maxStepReached_;
id_ = other.id_;
actionMask_ = other.actionMask_.Clone();
customObservation_ = other.customObservation_ != null ? other.customObservation_.Clone() : null;
CustomObservation = other.customObservation_ != null ? other.CustomObservation.Clone() : null;
_unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
}

actionMask_.Add(other.actionMask_);
if (other.customObservation_ != null) {
if (customObservation_ == null) {
CustomObservation = new global::MLAgents.CommunicatorObjects.CustomObservation();
customObservation_ = new global::MLAgents.CommunicatorObjects.CustomObservation();
}
CustomObservation.MergeFrom(other.CustomObservation);
}

}
case 98: {
if (customObservation_ == null) {
CustomObservation = new global::MLAgents.CommunicatorObjects.CustomObservation();
customObservation_ = new global::MLAgents.CommunicatorObjects.CustomObservation();
input.ReadMessage(CustomObservation);
input.ReadMessage(customObservation_);
break;
}
}

2
UnitySDK/Assets/ML-Agents/Scripts/CommunicatorObjects/BrainParametersProto.cs
查看文件


break;
}
case 48: {
VectorActionSpaceType = (global::MLAgents.CommunicatorObjects.SpaceTypeProto) input.ReadEnum();
vectorActionSpaceType_ = (global::MLAgents.CommunicatorObjects.SpaceTypeProto) input.ReadEnum();
break;
}
case 58: {

8
UnitySDK/Assets/ML-Agents/Scripts/CommunicatorObjects/EnvironmentParametersProto.cs
查看文件


[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public EnvironmentParametersProto(EnvironmentParametersProto other) : this() {
floatParameters_ = other.floatParameters_.Clone();
customResetParameters_ = other.customResetParameters_ != null ? other.customResetParameters_.Clone() : null;
CustomResetParameters = other.customResetParameters_ != null ? other.CustomResetParameters.Clone() : null;
_unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
}

floatParameters_.Add(other.floatParameters_);
if (other.customResetParameters_ != null) {
if (customResetParameters_ == null) {
CustomResetParameters = new global::MLAgents.CommunicatorObjects.CustomResetParameters();
customResetParameters_ = new global::MLAgents.CommunicatorObjects.CustomResetParameters();
}
CustomResetParameters.MergeFrom(other.CustomResetParameters);
}

}
case 18: {
if (customResetParameters_ == null) {
CustomResetParameters = new global::MLAgents.CommunicatorObjects.CustomResetParameters();
customResetParameters_ = new global::MLAgents.CommunicatorObjects.CustomResetParameters();
input.ReadMessage(CustomResetParameters);
input.ReadMessage(customResetParameters_);
break;
}
}

16
UnitySDK/Assets/ML-Agents/Scripts/CommunicatorObjects/UnityInput.cs
查看文件


[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public UnityInput(UnityInput other) : this() {
rlInput_ = other.rlInput_ != null ? other.rlInput_.Clone() : null;
rlInitializationInput_ = other.rlInitializationInput_ != null ? other.rlInitializationInput_.Clone() : null;
RlInput = other.rlInput_ != null ? other.RlInput.Clone() : null;
RlInitializationInput = other.rlInitializationInput_ != null ? other.RlInitializationInput.Clone() : null;
_unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
}

}
if (other.rlInput_ != null) {
if (rlInput_ == null) {
RlInput = new global::MLAgents.CommunicatorObjects.UnityRLInput();
rlInput_ = new global::MLAgents.CommunicatorObjects.UnityRLInput();
RlInitializationInput = new global::MLAgents.CommunicatorObjects.UnityRLInitializationInput();
rlInitializationInput_ = new global::MLAgents.CommunicatorObjects.UnityRLInitializationInput();
}
RlInitializationInput.MergeFrom(other.RlInitializationInput);
}

break;
case 10: {
if (rlInput_ == null) {
RlInput = new global::MLAgents.CommunicatorObjects.UnityRLInput();
rlInput_ = new global::MLAgents.CommunicatorObjects.UnityRLInput();
input.ReadMessage(RlInput);
input.ReadMessage(rlInput_);
RlInitializationInput = new global::MLAgents.CommunicatorObjects.UnityRLInitializationInput();
rlInitializationInput_ = new global::MLAgents.CommunicatorObjects.UnityRLInitializationInput();
input.ReadMessage(RlInitializationInput);
input.ReadMessage(rlInitializationInput_);
break;
}
}

24
UnitySDK/Assets/ML-Agents/Scripts/CommunicatorObjects/UnityMessage.cs
查看文件


[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public UnityMessage(UnityMessage other) : this() {
header_ = other.header_ != null ? other.header_.Clone() : null;
unityOutput_ = other.unityOutput_ != null ? other.unityOutput_.Clone() : null;
unityInput_ = other.unityInput_ != null ? other.unityInput_.Clone() : null;
Header = other.header_ != null ? other.Header.Clone() : null;
UnityOutput = other.unityOutput_ != null ? other.UnityOutput.Clone() : null;
UnityInput = other.unityInput_ != null ? other.UnityInput.Clone() : null;
_unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
}

}
if (other.header_ != null) {
if (header_ == null) {
Header = new global::MLAgents.CommunicatorObjects.Header();
header_ = new global::MLAgents.CommunicatorObjects.Header();
UnityOutput = new global::MLAgents.CommunicatorObjects.UnityOutput();
unityOutput_ = new global::MLAgents.CommunicatorObjects.UnityOutput();
UnityInput = new global::MLAgents.CommunicatorObjects.UnityInput();
unityInput_ = new global::MLAgents.CommunicatorObjects.UnityInput();
}
UnityInput.MergeFrom(other.UnityInput);
}

break;
case 10: {
if (header_ == null) {
Header = new global::MLAgents.CommunicatorObjects.Header();
header_ = new global::MLAgents.CommunicatorObjects.Header();
input.ReadMessage(Header);
input.ReadMessage(header_);
UnityOutput = new global::MLAgents.CommunicatorObjects.UnityOutput();
unityOutput_ = new global::MLAgents.CommunicatorObjects.UnityOutput();
input.ReadMessage(UnityOutput);
input.ReadMessage(unityOutput_);
UnityInput = new global::MLAgents.CommunicatorObjects.UnityInput();
unityInput_ = new global::MLAgents.CommunicatorObjects.UnityInput();
input.ReadMessage(UnityInput);
input.ReadMessage(unityInput_);
break;
}
}

16
UnitySDK/Assets/ML-Agents/Scripts/CommunicatorObjects/UnityOutput.cs
查看文件


[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public UnityOutput(UnityOutput other) : this() {
rlOutput_ = other.rlOutput_ != null ? other.rlOutput_.Clone() : null;
rlInitializationOutput_ = other.rlInitializationOutput_ != null ? other.rlInitializationOutput_.Clone() : null;
RlOutput = other.rlOutput_ != null ? other.RlOutput.Clone() : null;
RlInitializationOutput = other.rlInitializationOutput_ != null ? other.RlInitializationOutput.Clone() : null;
_unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
}

}
if (other.rlOutput_ != null) {
if (rlOutput_ == null) {
RlOutput = new global::MLAgents.CommunicatorObjects.UnityRLOutput();
rlOutput_ = new global::MLAgents.CommunicatorObjects.UnityRLOutput();
RlInitializationOutput = new global::MLAgents.CommunicatorObjects.UnityRLInitializationOutput();
rlInitializationOutput_ = new global::MLAgents.CommunicatorObjects.UnityRLInitializationOutput();
}
RlInitializationOutput.MergeFrom(other.RlInitializationOutput);
}

break;
case 10: {
if (rlOutput_ == null) {
RlOutput = new global::MLAgents.CommunicatorObjects.UnityRLOutput();
rlOutput_ = new global::MLAgents.CommunicatorObjects.UnityRLOutput();
input.ReadMessage(RlOutput);
input.ReadMessage(rlOutput_);
RlInitializationOutput = new global::MLAgents.CommunicatorObjects.UnityRLInitializationOutput();
rlInitializationOutput_ = new global::MLAgents.CommunicatorObjects.UnityRLInitializationOutput();
input.ReadMessage(RlInitializationOutput);
input.ReadMessage(rlInitializationOutput_);
break;
}
}

8
UnitySDK/Assets/ML-Agents/Scripts/CommunicatorObjects/UnityRlInitializationOutput.cs
查看文件


version_ = other.version_;
logPath_ = other.logPath_;
brainParameters_ = other.brainParameters_.Clone();
environmentParameters_ = other.environmentParameters_ != null ? other.environmentParameters_.Clone() : null;
EnvironmentParameters = other.environmentParameters_ != null ? other.EnvironmentParameters.Clone() : null;
_unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
}

brainParameters_.Add(other.brainParameters_);
if (other.environmentParameters_ != null) {
if (environmentParameters_ == null) {
EnvironmentParameters = new global::MLAgents.CommunicatorObjects.EnvironmentParametersProto();
environmentParameters_ = new global::MLAgents.CommunicatorObjects.EnvironmentParametersProto();
}
EnvironmentParameters.MergeFrom(other.EnvironmentParameters);
}

}
case 50: {
if (environmentParameters_ == null) {
EnvironmentParameters = new global::MLAgents.CommunicatorObjects.EnvironmentParametersProto();
environmentParameters_ = new global::MLAgents.CommunicatorObjects.EnvironmentParametersProto();
input.ReadMessage(EnvironmentParameters);
input.ReadMessage(environmentParameters_);
break;
}
}

10
UnitySDK/Assets/ML-Agents/Scripts/CommunicatorObjects/UnityRlInput.cs
查看文件


[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public UnityRLInput(UnityRLInput other) : this() {
agentActions_ = other.agentActions_.Clone();
environmentParameters_ = other.environmentParameters_ != null ? other.environmentParameters_.Clone() : null;
EnvironmentParameters = other.environmentParameters_ != null ? other.EnvironmentParameters.Clone() : null;
isTraining_ = other.isTraining_;
command_ = other.command_;
_unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);

agentActions_.Add(other.agentActions_);
if (other.environmentParameters_ != null) {
if (environmentParameters_ == null) {
EnvironmentParameters = new global::MLAgents.CommunicatorObjects.EnvironmentParametersProto();
environmentParameters_ = new global::MLAgents.CommunicatorObjects.EnvironmentParametersProto();
}
EnvironmentParameters.MergeFrom(other.EnvironmentParameters);
}

}
case 18: {
if (environmentParameters_ == null) {
EnvironmentParameters = new global::MLAgents.CommunicatorObjects.EnvironmentParametersProto();
environmentParameters_ = new global::MLAgents.CommunicatorObjects.EnvironmentParametersProto();
input.ReadMessage(EnvironmentParameters);
input.ReadMessage(environmentParameters_);
break;
}
case 24: {

case 32: {
Command = (global::MLAgents.CommunicatorObjects.CommandProto) input.ReadEnum();
command_ = (global::MLAgents.CommunicatorObjects.CommandProto) input.ReadEnum();
break;
}
}

46
UnitySDK/Assets/ML-Agents/Scripts/CommunicatorObjects/UnityRlOutput.cs
查看文件


"CjhtbGFnZW50cy9lbnZzL2NvbW11bmljYXRvcl9vYmplY3RzL3VuaXR5X3Js",
"X291dHB1dC5wcm90bxIUY29tbXVuaWNhdG9yX29iamVjdHMaOW1sYWdlbnRz",
"L2VudnMvY29tbXVuaWNhdG9yX29iamVjdHMvYWdlbnRfaW5mb19wcm90by5w",
"cm90byKjAgoNVW5pdHlSTE91dHB1dBITCgtnbG9iYWxfZG9uZRgBIAEoCBJH",
"CgphZ2VudEluZm9zGAIgAygLMjMuY29tbXVuaWNhdG9yX29iamVjdHMuVW5p",
"dHlSTE91dHB1dC5BZ2VudEluZm9zRW50cnkaSQoSTGlzdEFnZW50SW5mb1By",
"b3RvEjMKBXZhbHVlGAEgAygLMiQuY29tbXVuaWNhdG9yX29iamVjdHMuQWdl",
"bnRJbmZvUHJvdG8aaQoPQWdlbnRJbmZvc0VudHJ5EgsKA2tleRgBIAEoCRJF",
"CgV2YWx1ZRgCIAEoCzI2LmNvbW11bmljYXRvcl9vYmplY3RzLlVuaXR5UkxP",
"dXRwdXQuTGlzdEFnZW50SW5mb1Byb3RvOgI4AUIfqgIcTUxBZ2VudHMuQ29t",
"bXVuaWNhdG9yT2JqZWN0c2IGcHJvdG8z"));
"cm90byKUAgoNVW5pdHlSTE91dHB1dBJHCgphZ2VudEluZm9zGAIgAygLMjMu",
"Y29tbXVuaWNhdG9yX29iamVjdHMuVW5pdHlSTE91dHB1dC5BZ2VudEluZm9z",
"RW50cnkaSQoSTGlzdEFnZW50SW5mb1Byb3RvEjMKBXZhbHVlGAEgAygLMiQu",
"Y29tbXVuaWNhdG9yX29iamVjdHMuQWdlbnRJbmZvUHJvdG8aaQoPQWdlbnRJ",
"bmZvc0VudHJ5EgsKA2tleRgBIAEoCRJFCgV2YWx1ZRgCIAEoCzI2LmNvbW11",
"bmljYXRvcl9vYmplY3RzLlVuaXR5UkxPdXRwdXQuTGlzdEFnZW50SW5mb1By",
"b3RvOgI4AUoECAEQAkIfqgIcTUxBZ2VudHMuQ29tbXVuaWNhdG9yT2JqZWN0",
"c2IGcHJvdG8z"));
new pbr::GeneratedClrTypeInfo(typeof(global::MLAgents.CommunicatorObjects.UnityRLOutput), global::MLAgents.CommunicatorObjects.UnityRLOutput.Parser, new[]{ "GlobalDone", "AgentInfos" }, null, null, new pbr::GeneratedClrTypeInfo[] { new pbr::GeneratedClrTypeInfo(typeof(global::MLAgents.CommunicatorObjects.UnityRLOutput.Types.ListAgentInfoProto), global::MLAgents.CommunicatorObjects.UnityRLOutput.Types.ListAgentInfoProto.Parser, new[]{ "Value" }, null, null, null),
new pbr::GeneratedClrTypeInfo(typeof(global::MLAgents.CommunicatorObjects.UnityRLOutput), global::MLAgents.CommunicatorObjects.UnityRLOutput.Parser, new[]{ "AgentInfos" }, null, null, new pbr::GeneratedClrTypeInfo[] { new pbr::GeneratedClrTypeInfo(typeof(global::MLAgents.CommunicatorObjects.UnityRLOutput.Types.ListAgentInfoProto), global::MLAgents.CommunicatorObjects.UnityRLOutput.Types.ListAgentInfoProto.Parser, new[]{ "Value" }, null, null, null),
null, })
}));
}

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public UnityRLOutput(UnityRLOutput other) : this() {
globalDone_ = other.globalDone_;
agentInfos_ = other.agentInfos_.Clone();
_unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
}

return new UnityRLOutput(this);
}
/// <summary>Field number for the "global_done" field.</summary>
public const int GlobalDoneFieldNumber = 1;
private bool globalDone_;
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public bool GlobalDone {
get { return globalDone_; }
set {
globalDone_ = value;
}
}
/// <summary>Field number for the "agentInfos" field.</summary>
public const int AgentInfosFieldNumber = 2;
private static readonly pbc::MapField<string, global::MLAgents.CommunicatorObjects.UnityRLOutput.Types.ListAgentInfoProto>.Codec _map_agentInfos_codec

if (ReferenceEquals(other, this)) {
return true;
}
if (GlobalDone != other.GlobalDone) return false;
if (!AgentInfos.Equals(other.AgentInfos)) return false;
return Equals(_unknownFields, other._unknownFields);
}

int hash = 1;
if (GlobalDone != false) hash ^= GlobalDone.GetHashCode();
hash ^= AgentInfos.GetHashCode();
if (_unknownFields != null) {
hash ^= _unknownFields.GetHashCode();

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void WriteTo(pb::CodedOutputStream output) {
if (GlobalDone != false) {
output.WriteRawTag(8);
output.WriteBool(GlobalDone);
}
agentInfos_.WriteTo(output, _map_agentInfos_codec);
if (_unknownFields != null) {
_unknownFields.WriteTo(output);

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public int CalculateSize() {
int size = 0;
if (GlobalDone != false) {
size += 1 + 1;
}
size += agentInfos_.CalculateSize(_map_agentInfos_codec);
if (_unknownFields != null) {
size += _unknownFields.CalculateSize();

if (other == null) {
return;
}
if (other.GlobalDone != false) {
GlobalDone = other.GlobalDone;
}
agentInfos_.Add(other.agentInfos_);
_unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
}

default:
_unknownFields = pb::UnknownFieldSet.MergeFieldFrom(_unknownFields, input);
break;
case 8: {
GlobalDone = input.ReadBool();
break;
}
case 18: {
agentInfos_.AddEntriesFrom(input, _map_agentInfos_codec);
break;

9
UnitySDK/Assets/ML-Agents/Scripts/CommunicatorObjects/UnityToExternalGrpc.cs
查看文件


#if UNITY_EDITOR || UNITY_STANDALONE_WIN || UNITY_STANDALONE_OSX || UNITY_STANDALONE_LINUX
# if UNITY_EDITOR || UNITY_STANDALONE_WIN || UNITY_STANDALONE_OSX || UNITY_STANDALONE_LINUX
namespace MLAgents.CommunicatorObjects {
public static partial class UnityToExternal

}
}
#endregion
#endif
#endif

216
ml-agents-envs/mlagents/envs/communicator_objects/agent_action_proto_pb2.py
查看文件


# -*- coding: utf-8 -*-
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor_pb2
from mlagents.envs.communicator_objects import (
custom_action_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_custom__action__pb2,
)
from mlagents.envs.communicator_objects import custom_action_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_custom__action__pb2
name="mlagents/envs/communicator_objects/agent_action_proto.proto",
package="communicator_objects",
syntax="proto3",
serialized_options=_b("\252\002\034MLAgents.CommunicatorObjects"),
serialized_pb=_b(
'\n;mlagents/envs/communicator_objects/agent_action_proto.proto\x12\x14\x63ommunicator_objects\x1a\x36mlagents/envs/communicator_objects/custom_action.proto"\x9c\x01\n\x10\x41gentActionProto\x12\x16\n\x0evector_actions\x18\x01 \x03(\x02\x12\x14\n\x0ctext_actions\x18\x02 \x01(\t\x12\x10\n\x08memories\x18\x03 \x03(\x02\x12\r\n\x05value\x18\x04 \x01(\x02\x12\x39\n\rcustom_action\x18\x05 \x01(\x0b\x32".communicator_objects.CustomActionB\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3'
),
dependencies=[
mlagents_dot_envs_dot_communicator__objects_dot_custom__action__pb2.DESCRIPTOR
],
)
name='mlagents/envs/communicator_objects/agent_action_proto.proto',
package='communicator_objects',
syntax='proto3',
serialized_pb=_b('\n;mlagents/envs/communicator_objects/agent_action_proto.proto\x12\x14\x63ommunicator_objects\x1a\x36mlagents/envs/communicator_objects/custom_action.proto\"\x9c\x01\n\x10\x41gentActionProto\x12\x16\n\x0evector_actions\x18\x01 \x03(\x02\x12\x14\n\x0ctext_actions\x18\x02 \x01(\t\x12\x10\n\x08memories\x18\x03 \x03(\x02\x12\r\n\x05value\x18\x04 \x01(\x02\x12\x39\n\rcustom_action\x18\x05 \x01(\x0b\x32\".communicator_objects.CustomActionB\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3')
,
dependencies=[mlagents_dot_envs_dot_communicator__objects_dot_custom__action__pb2.DESCRIPTOR,])
name="AgentActionProto",
full_name="communicator_objects.AgentActionProto",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="vector_actions",
full_name="communicator_objects.AgentActionProto.vector_actions",
index=0,
number=1,
type=2,
cpp_type=6,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="text_actions",
full_name="communicator_objects.AgentActionProto.text_actions",
index=1,
number=2,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="memories",
full_name="communicator_objects.AgentActionProto.memories",
index=2,
number=3,
type=2,
cpp_type=6,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="value",
full_name="communicator_objects.AgentActionProto.value",
index=3,
number=4,
type=2,
cpp_type=6,
label=1,
has_default_value=False,
default_value=float(0),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="custom_action",
full_name="communicator_objects.AgentActionProto.custom_action",
index=4,
number=5,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=142,
serialized_end=298,
name='AgentActionProto',
full_name='communicator_objects.AgentActionProto',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='vector_actions', full_name='communicator_objects.AgentActionProto.vector_actions', index=0,
number=1, type=2, cpp_type=6, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='text_actions', full_name='communicator_objects.AgentActionProto.text_actions', index=1,
number=2, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='memories', full_name='communicator_objects.AgentActionProto.memories', index=2,
number=3, type=2, cpp_type=6, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='value', full_name='communicator_objects.AgentActionProto.value', index=3,
number=4, type=2, cpp_type=6, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='custom_action', full_name='communicator_objects.AgentActionProto.custom_action', index=4,
number=5, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=142,
serialized_end=298,
_AGENTACTIONPROTO.fields_by_name[
"custom_action"
].message_type = (
mlagents_dot_envs_dot_communicator__objects_dot_custom__action__pb2._CUSTOMACTION
)
DESCRIPTOR.message_types_by_name["AgentActionProto"] = _AGENTACTIONPROTO
_AGENTACTIONPROTO.fields_by_name['custom_action'].message_type = mlagents_dot_envs_dot_communicator__objects_dot_custom__action__pb2._CUSTOMACTION
DESCRIPTOR.message_types_by_name['AgentActionProto'] = _AGENTACTIONPROTO
AgentActionProto = _reflection.GeneratedProtocolMessageType(
"AgentActionProto",
(_message.Message,),
dict(
DESCRIPTOR=_AGENTACTIONPROTO,
__module__="mlagents.envs.communicator_objects.agent_action_proto_pb2"
# @@protoc_insertion_point(class_scope:communicator_objects.AgentActionProto)
),
)
AgentActionProto = _reflection.GeneratedProtocolMessageType('AgentActionProto', (_message.Message,), dict(
DESCRIPTOR = _AGENTACTIONPROTO,
__module__ = 'mlagents.envs.communicator_objects.agent_action_proto_pb2'
# @@protoc_insertion_point(class_scope:communicator_objects.AgentActionProto)
))
DESCRIPTOR._options = None
DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\252\002\034MLAgents.CommunicatorObjects'))
# @@protoc_insertion_point(module_scope)

8
ml-agents-envs/mlagents/envs/communicator_objects/agent_action_proto_pb2.pyi
查看文件


# @generated by generate_proto_mypy_stubs.py. Do not edit!
import sys
from google.protobuf.descriptor import (
Descriptor as google___protobuf___descriptor___Descriptor,
)
from google.protobuf.internal.containers import (
RepeatedScalarFieldContainer as google___protobuf___internal___containers___RepeatedScalarFieldContainer,
)

class AgentActionProto(google___protobuf___message___Message):
DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
vector_actions = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[float]
text_actions = ... # type: typing___Text
memories = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[float]

def custom_action(self) -> mlagents___envs___communicator_objects___custom_action_pb2___CustomAction: ...
def __init__(self,
*,
vector_actions : typing___Optional[typing___Iterable[float]] = None,
text_actions : typing___Optional[typing___Text] = None,
memories : typing___Optional[typing___Iterable[float]] = None,

def ClearField(self, field_name: typing_extensions___Literal[u"custom_action",u"memories",u"text_actions",u"value",u"vector_actions"]) -> None: ...
else:
def HasField(self, field_name: typing_extensions___Literal[u"custom_action",b"custom_action"]) -> bool: ...
def ClearField(self, field_name: typing_extensions___Literal[b"custom_action",b"memories",b"text_actions",b"value",b"vector_actions"]) -> None: ...
def ClearField(self, field_name: typing_extensions___Literal[u"custom_action",b"custom_action",u"memories",b"memories",u"text_actions",b"text_actions",u"value",b"value",u"vector_actions",b"vector_actions"]) -> None: ...

391
ml-agents-envs/mlagents/envs/communicator_objects/agent_info_proto_pb2.py
查看文件


# -*- coding: utf-8 -*-
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor_pb2
from mlagents.envs.communicator_objects import (
custom_observation_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_custom__observation__pb2,
)
from mlagents.envs.communicator_objects import custom_observation_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_custom__observation__pb2
name="mlagents/envs/communicator_objects/agent_info_proto.proto",
package="communicator_objects",
syntax="proto3",
serialized_options=_b("\252\002\034MLAgents.CommunicatorObjects"),
serialized_pb=_b(
'\n9mlagents/envs/communicator_objects/agent_info_proto.proto\x12\x14\x63ommunicator_objects\x1a;mlagents/envs/communicator_objects/custom_observation.proto"\xd7\x02\n\x0e\x41gentInfoProto\x12"\n\x1astacked_vector_observation\x18\x01 \x03(\x02\x12\x1b\n\x13visual_observations\x18\x02 \x03(\x0c\x12\x18\n\x10text_observation\x18\x03 \x01(\t\x12\x1d\n\x15stored_vector_actions\x18\x04 \x03(\x02\x12\x1b\n\x13stored_text_actions\x18\x05 \x01(\t\x12\x10\n\x08memories\x18\x06 \x03(\x02\x12\x0e\n\x06reward\x18\x07 \x01(\x02\x12\x0c\n\x04\x64one\x18\x08 \x01(\x08\x12\x18\n\x10max_step_reached\x18\t \x01(\x08\x12\n\n\x02id\x18\n \x01(\x05\x12\x13\n\x0b\x61\x63tion_mask\x18\x0b \x03(\x08\x12\x43\n\x12\x63ustom_observation\x18\x0c \x01(\x0b\x32\'.communicator_objects.CustomObservationB\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3'
),
dependencies=[
mlagents_dot_envs_dot_communicator__objects_dot_custom__observation__pb2.DESCRIPTOR
],
)
name='mlagents/envs/communicator_objects/agent_info_proto.proto',
package='communicator_objects',
syntax='proto3',
serialized_pb=_b('\n9mlagents/envs/communicator_objects/agent_info_proto.proto\x12\x14\x63ommunicator_objects\x1a;mlagents/envs/communicator_objects/custom_observation.proto\"\xd7\x02\n\x0e\x41gentInfoProto\x12\"\n\x1astacked_vector_observation\x18\x01 \x03(\x02\x12\x1b\n\x13visual_observations\x18\x02 \x03(\x0c\x12\x18\n\x10text_observation\x18\x03 \x01(\t\x12\x1d\n\x15stored_vector_actions\x18\x04 \x03(\x02\x12\x1b\n\x13stored_text_actions\x18\x05 \x01(\t\x12\x10\n\x08memories\x18\x06 \x03(\x02\x12\x0e\n\x06reward\x18\x07 \x01(\x02\x12\x0c\n\x04\x64one\x18\x08 \x01(\x08\x12\x18\n\x10max_step_reached\x18\t \x01(\x08\x12\n\n\x02id\x18\n \x01(\x05\x12\x13\n\x0b\x61\x63tion_mask\x18\x0b \x03(\x08\x12\x43\n\x12\x63ustom_observation\x18\x0c \x01(\x0b\x32\'.communicator_objects.CustomObservationB\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3')
,
dependencies=[mlagents_dot_envs_dot_communicator__objects_dot_custom__observation__pb2.DESCRIPTOR,])
name="AgentInfoProto",
full_name="communicator_objects.AgentInfoProto",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="stacked_vector_observation",
full_name="communicator_objects.AgentInfoProto.stacked_vector_observation",
index=0,
number=1,
type=2,
cpp_type=6,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="visual_observations",
full_name="communicator_objects.AgentInfoProto.visual_observations",
index=1,
number=2,
type=12,
cpp_type=9,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="text_observation",
full_name="communicator_objects.AgentInfoProto.text_observation",
index=2,
number=3,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="stored_vector_actions",
full_name="communicator_objects.AgentInfoProto.stored_vector_actions",
index=3,
number=4,
type=2,
cpp_type=6,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="stored_text_actions",
full_name="communicator_objects.AgentInfoProto.stored_text_actions",
index=4,
number=5,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="memories",
full_name="communicator_objects.AgentInfoProto.memories",
index=5,
number=6,
type=2,
cpp_type=6,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="reward",
full_name="communicator_objects.AgentInfoProto.reward",
index=6,
number=7,
type=2,
cpp_type=6,
label=1,
has_default_value=False,
default_value=float(0),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="done",
full_name="communicator_objects.AgentInfoProto.done",
index=7,
number=8,
type=8,
cpp_type=7,
label=1,
has_default_value=False,
default_value=False,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="max_step_reached",
full_name="communicator_objects.AgentInfoProto.max_step_reached",
index=8,
number=9,
type=8,
cpp_type=7,
label=1,
has_default_value=False,
default_value=False,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="id",
full_name="communicator_objects.AgentInfoProto.id",
index=9,
number=10,
type=5,
cpp_type=1,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="action_mask",
full_name="communicator_objects.AgentInfoProto.action_mask",
index=10,
number=11,
type=8,
cpp_type=7,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="custom_observation",
full_name="communicator_objects.AgentInfoProto.custom_observation",
index=11,
number=12,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=145,
serialized_end=488,
name='AgentInfoProto',
full_name='communicator_objects.AgentInfoProto',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='stacked_vector_observation', full_name='communicator_objects.AgentInfoProto.stacked_vector_observation', index=0,
number=1, type=2, cpp_type=6, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='visual_observations', full_name='communicator_objects.AgentInfoProto.visual_observations', index=1,
number=2, type=12, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='text_observation', full_name='communicator_objects.AgentInfoProto.text_observation', index=2,
number=3, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='stored_vector_actions', full_name='communicator_objects.AgentInfoProto.stored_vector_actions', index=3,
number=4, type=2, cpp_type=6, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='stored_text_actions', full_name='communicator_objects.AgentInfoProto.stored_text_actions', index=4,
number=5, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='memories', full_name='communicator_objects.AgentInfoProto.memories', index=5,
number=6, type=2, cpp_type=6, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='reward', full_name='communicator_objects.AgentInfoProto.reward', index=6,
number=7, type=2, cpp_type=6, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='done', full_name='communicator_objects.AgentInfoProto.done', index=7,
number=8, type=8, cpp_type=7, label=1,
has_default_value=False, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='max_step_reached', full_name='communicator_objects.AgentInfoProto.max_step_reached', index=8,
number=9, type=8, cpp_type=7, label=1,
has_default_value=False, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='id', full_name='communicator_objects.AgentInfoProto.id', index=9,
number=10, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='action_mask', full_name='communicator_objects.AgentInfoProto.action_mask', index=10,
number=11, type=8, cpp_type=7, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='custom_observation', full_name='communicator_objects.AgentInfoProto.custom_observation', index=11,
number=12, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=145,
serialized_end=488,
_AGENTINFOPROTO.fields_by_name[
"custom_observation"
].message_type = (
mlagents_dot_envs_dot_communicator__objects_dot_custom__observation__pb2._CUSTOMOBSERVATION
)
DESCRIPTOR.message_types_by_name["AgentInfoProto"] = _AGENTINFOPROTO
_AGENTINFOPROTO.fields_by_name['custom_observation'].message_type = mlagents_dot_envs_dot_communicator__objects_dot_custom__observation__pb2._CUSTOMOBSERVATION
DESCRIPTOR.message_types_by_name['AgentInfoProto'] = _AGENTINFOPROTO
AgentInfoProto = _reflection.GeneratedProtocolMessageType(
"AgentInfoProto",
(_message.Message,),
dict(
DESCRIPTOR=_AGENTINFOPROTO,
__module__="mlagents.envs.communicator_objects.agent_info_proto_pb2"
# @@protoc_insertion_point(class_scope:communicator_objects.AgentInfoProto)
),
)
AgentInfoProto = _reflection.GeneratedProtocolMessageType('AgentInfoProto', (_message.Message,), dict(
DESCRIPTOR = _AGENTINFOPROTO,
__module__ = 'mlagents.envs.communicator_objects.agent_info_proto_pb2'
# @@protoc_insertion_point(class_scope:communicator_objects.AgentInfoProto)
))
DESCRIPTOR._options = None
DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\252\002\034MLAgents.CommunicatorObjects'))
# @@protoc_insertion_point(module_scope)

8
ml-agents-envs/mlagents/envs/communicator_objects/agent_info_proto_pb2.pyi
查看文件


# @generated by generate_proto_mypy_stubs.py. Do not edit!
import sys
from google.protobuf.descriptor import (
Descriptor as google___protobuf___descriptor___Descriptor,
)
from google.protobuf.internal.containers import (
RepeatedScalarFieldContainer as google___protobuf___internal___containers___RepeatedScalarFieldContainer,
)

class AgentInfoProto(google___protobuf___message___Message):
DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
stacked_vector_observation = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[float]
visual_observations = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[bytes]
text_observation = ... # type: typing___Text

def custom_observation(self) -> mlagents___envs___communicator_objects___custom_observation_pb2___CustomObservation: ...
def __init__(self,
*,
stacked_vector_observation : typing___Optional[typing___Iterable[float]] = None,
visual_observations : typing___Optional[typing___Iterable[bytes]] = None,
text_observation : typing___Optional[typing___Text] = None,

def ClearField(self, field_name: typing_extensions___Literal[u"action_mask",u"custom_observation",u"done",u"id",u"max_step_reached",u"memories",u"reward",u"stacked_vector_observation",u"stored_text_actions",u"stored_vector_actions",u"text_observation",u"visual_observations"]) -> None: ...
else:
def HasField(self, field_name: typing_extensions___Literal[u"custom_observation",b"custom_observation"]) -> bool: ...
def ClearField(self, field_name: typing_extensions___Literal[b"action_mask",b"custom_observation",b"done",b"id",b"max_step_reached",b"memories",b"reward",b"stacked_vector_observation",b"stored_text_actions",b"stored_vector_actions",b"text_observation",b"visual_observations"]) -> None: ...
def ClearField(self, field_name: typing_extensions___Literal[u"action_mask",b"action_mask",u"custom_observation",b"custom_observation",u"done",b"done",u"id",b"id",u"max_step_reached",b"max_step_reached",u"memories",b"memories",u"reward",b"reward",u"stacked_vector_observation",b"stacked_vector_observation",u"stored_text_actions",b"stored_text_actions",u"stored_vector_actions",b"stored_vector_actions",u"text_observation",b"text_observation",u"visual_observations",b"visual_observations"]) -> None: ...

302
ml-agents-envs/mlagents/envs/communicator_objects/brain_parameters_proto_pb2.py
查看文件


# -*- coding: utf-8 -*-
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor_pb2
from mlagents.envs.communicator_objects import (
resolution_proto_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_resolution__proto__pb2,
)
from mlagents.envs.communicator_objects import (
space_type_proto_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_space__type__proto__pb2,
)
from mlagents.envs.communicator_objects import resolution_proto_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_resolution__proto__pb2
from mlagents.envs.communicator_objects import space_type_proto_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_space__type__proto__pb2
name="mlagents/envs/communicator_objects/brain_parameters_proto.proto",
package="communicator_objects",
syntax="proto3",
serialized_options=_b("\252\002\034MLAgents.CommunicatorObjects"),
serialized_pb=_b(
'\n?mlagents/envs/communicator_objects/brain_parameters_proto.proto\x12\x14\x63ommunicator_objects\x1a\x39mlagents/envs/communicator_objects/resolution_proto.proto\x1a\x39mlagents/envs/communicator_objects/space_type_proto.proto"\xd4\x02\n\x14\x42rainParametersProto\x12\x1f\n\x17vector_observation_size\x18\x01 \x01(\x05\x12\'\n\x1fnum_stacked_vector_observations\x18\x02 \x01(\x05\x12\x1a\n\x12vector_action_size\x18\x03 \x03(\x05\x12\x41\n\x12\x63\x61mera_resolutions\x18\x04 \x03(\x0b\x32%.communicator_objects.ResolutionProto\x12"\n\x1avector_action_descriptions\x18\x05 \x03(\t\x12\x46\n\x18vector_action_space_type\x18\x06 \x01(\x0e\x32$.communicator_objects.SpaceTypeProto\x12\x12\n\nbrain_name\x18\x07 \x01(\t\x12\x13\n\x0bis_training\x18\x08 \x01(\x08\x42\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3'
),
dependencies=[
mlagents_dot_envs_dot_communicator__objects_dot_resolution__proto__pb2.DESCRIPTOR,
mlagents_dot_envs_dot_communicator__objects_dot_space__type__proto__pb2.DESCRIPTOR,
],
)
name='mlagents/envs/communicator_objects/brain_parameters_proto.proto',
package='communicator_objects',
syntax='proto3',
serialized_pb=_b('\n?mlagents/envs/communicator_objects/brain_parameters_proto.proto\x12\x14\x63ommunicator_objects\x1a\x39mlagents/envs/communicator_objects/resolution_proto.proto\x1a\x39mlagents/envs/communicator_objects/space_type_proto.proto\"\xd4\x02\n\x14\x42rainParametersProto\x12\x1f\n\x17vector_observation_size\x18\x01 \x01(\x05\x12\'\n\x1fnum_stacked_vector_observations\x18\x02 \x01(\x05\x12\x1a\n\x12vector_action_size\x18\x03 \x03(\x05\x12\x41\n\x12\x63\x61mera_resolutions\x18\x04 \x03(\x0b\x32%.communicator_objects.ResolutionProto\x12\"\n\x1avector_action_descriptions\x18\x05 \x03(\t\x12\x46\n\x18vector_action_space_type\x18\x06 \x01(\x0e\x32$.communicator_objects.SpaceTypeProto\x12\x12\n\nbrain_name\x18\x07 \x01(\t\x12\x13\n\x0bis_training\x18\x08 \x01(\x08\x42\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3')
,
dependencies=[mlagents_dot_envs_dot_communicator__objects_dot_resolution__proto__pb2.DESCRIPTOR,mlagents_dot_envs_dot_communicator__objects_dot_space__type__proto__pb2.DESCRIPTOR,])
name="BrainParametersProto",
full_name="communicator_objects.BrainParametersProto",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="vector_observation_size",
full_name="communicator_objects.BrainParametersProto.vector_observation_size",
index=0,
number=1,
type=5,
cpp_type=1,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="num_stacked_vector_observations",
full_name="communicator_objects.BrainParametersProto.num_stacked_vector_observations",
index=1,
number=2,
type=5,
cpp_type=1,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="vector_action_size",
full_name="communicator_objects.BrainParametersProto.vector_action_size",
index=2,
number=3,
type=5,
cpp_type=1,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="camera_resolutions",
full_name="communicator_objects.BrainParametersProto.camera_resolutions",
index=3,
number=4,
type=11,
cpp_type=10,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="vector_action_descriptions",
full_name="communicator_objects.BrainParametersProto.vector_action_descriptions",
index=4,
number=5,
type=9,
cpp_type=9,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="vector_action_space_type",
full_name="communicator_objects.BrainParametersProto.vector_action_space_type",
index=5,
number=6,
type=14,
cpp_type=8,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="brain_name",
full_name="communicator_objects.BrainParametersProto.brain_name",
index=6,
number=7,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="is_training",
full_name="communicator_objects.BrainParametersProto.is_training",
index=7,
number=8,
type=8,
cpp_type=7,
label=1,
has_default_value=False,
default_value=False,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=208,
serialized_end=548,
name='BrainParametersProto',
full_name='communicator_objects.BrainParametersProto',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='vector_observation_size', full_name='communicator_objects.BrainParametersProto.vector_observation_size', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='num_stacked_vector_observations', full_name='communicator_objects.BrainParametersProto.num_stacked_vector_observations', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='vector_action_size', full_name='communicator_objects.BrainParametersProto.vector_action_size', index=2,
number=3, type=5, cpp_type=1, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='camera_resolutions', full_name='communicator_objects.BrainParametersProto.camera_resolutions', index=3,
number=4, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='vector_action_descriptions', full_name='communicator_objects.BrainParametersProto.vector_action_descriptions', index=4,
number=5, type=9, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='vector_action_space_type', full_name='communicator_objects.BrainParametersProto.vector_action_space_type', index=5,
number=6, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='brain_name', full_name='communicator_objects.BrainParametersProto.brain_name', index=6,
number=7, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='is_training', full_name='communicator_objects.BrainParametersProto.is_training', index=7,
number=8, type=8, cpp_type=7, label=1,
has_default_value=False, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=208,
serialized_end=548,
_BRAINPARAMETERSPROTO.fields_by_name[
"camera_resolutions"
].message_type = (
mlagents_dot_envs_dot_communicator__objects_dot_resolution__proto__pb2._RESOLUTIONPROTO
)
_BRAINPARAMETERSPROTO.fields_by_name[
"vector_action_space_type"
].enum_type = (
mlagents_dot_envs_dot_communicator__objects_dot_space__type__proto__pb2._SPACETYPEPROTO
)
DESCRIPTOR.message_types_by_name["BrainParametersProto"] = _BRAINPARAMETERSPROTO
_BRAINPARAMETERSPROTO.fields_by_name['camera_resolutions'].message_type = mlagents_dot_envs_dot_communicator__objects_dot_resolution__proto__pb2._RESOLUTIONPROTO
_BRAINPARAMETERSPROTO.fields_by_name['vector_action_space_type'].enum_type = mlagents_dot_envs_dot_communicator__objects_dot_space__type__proto__pb2._SPACETYPEPROTO
DESCRIPTOR.message_types_by_name['BrainParametersProto'] = _BRAINPARAMETERSPROTO
BrainParametersProto = _reflection.GeneratedProtocolMessageType(
"BrainParametersProto",
(_message.Message,),
dict(
DESCRIPTOR=_BRAINPARAMETERSPROTO,
__module__="mlagents.envs.communicator_objects.brain_parameters_proto_pb2"
# @@protoc_insertion_point(class_scope:communicator_objects.BrainParametersProto)
),
)
BrainParametersProto = _reflection.GeneratedProtocolMessageType('BrainParametersProto', (_message.Message,), dict(
DESCRIPTOR = _BRAINPARAMETERSPROTO,
__module__ = 'mlagents.envs.communicator_objects.brain_parameters_proto_pb2'
# @@protoc_insertion_point(class_scope:communicator_objects.BrainParametersProto)
))
DESCRIPTOR._options = None
DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\252\002\034MLAgents.CommunicatorObjects'))
# @@protoc_insertion_point(module_scope)

8
ml-agents-envs/mlagents/envs/communicator_objects/brain_parameters_proto_pb2.pyi
查看文件


# @generated by generate_proto_mypy_stubs.py. Do not edit!
import sys
from google.protobuf.descriptor import (
Descriptor as google___protobuf___descriptor___Descriptor,
)
from google.protobuf.internal.containers import (
RepeatedCompositeFieldContainer as google___protobuf___internal___containers___RepeatedCompositeFieldContainer,
RepeatedScalarFieldContainer as google___protobuf___internal___containers___RepeatedScalarFieldContainer,

class BrainParametersProto(google___protobuf___message___Message):
DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
vector_observation_size = ... # type: int
num_stacked_vector_observations = ... # type: int
vector_action_size = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[int]

def camera_resolutions(self) -> google___protobuf___internal___containers___RepeatedCompositeFieldContainer[mlagents___envs___communicator_objects___resolution_proto_pb2___ResolutionProto]: ...
def __init__(self,
*,
vector_observation_size : typing___Optional[int] = None,
num_stacked_vector_observations : typing___Optional[int] = None,
vector_action_size : typing___Optional[typing___Iterable[int]] = None,

if sys.version_info >= (3,):
def ClearField(self, field_name: typing_extensions___Literal[u"brain_name",u"camera_resolutions",u"is_training",u"num_stacked_vector_observations",u"vector_action_descriptions",u"vector_action_size",u"vector_action_space_type",u"vector_observation_size"]) -> None: ...
else:
def ClearField(self, field_name: typing_extensions___Literal[b"brain_name",b"camera_resolutions",b"is_training",b"num_stacked_vector_observations",b"vector_action_descriptions",b"vector_action_size",b"vector_action_space_type",b"vector_observation_size"]) -> None: ...
def ClearField(self, field_name: typing_extensions___Literal[u"brain_name",b"brain_name",u"camera_resolutions",b"camera_resolutions",u"is_training",b"is_training",u"num_stacked_vector_observations",b"num_stacked_vector_observations",u"vector_action_descriptions",b"vector_action_descriptions",u"vector_action_size",b"vector_action_size",u"vector_action_space_type",b"vector_action_space_type",u"vector_observation_size",b"vector_observation_size"]) -> None: ...

65
ml-agents-envs/mlagents/envs/communicator_objects/command_proto_pb2.py
查看文件


# -*- coding: utf-8 -*-
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor_pb2
name="mlagents/envs/communicator_objects/command_proto.proto",
package="communicator_objects",
syntax="proto3",
serialized_options=_b("\252\002\034MLAgents.CommunicatorObjects"),
serialized_pb=_b(
"\n6mlagents/envs/communicator_objects/command_proto.proto\x12\x14\x63ommunicator_objects*-\n\x0c\x43ommandProto\x12\x08\n\x04STEP\x10\x00\x12\t\n\x05RESET\x10\x01\x12\x08\n\x04QUIT\x10\x02\x42\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3"
),
name='mlagents/envs/communicator_objects/command_proto.proto',
package='communicator_objects',
syntax='proto3',
serialized_pb=_b('\n6mlagents/envs/communicator_objects/command_proto.proto\x12\x14\x63ommunicator_objects*-\n\x0c\x43ommandProto\x12\x08\n\x04STEP\x10\x00\x12\t\n\x05RESET\x10\x01\x12\x08\n\x04QUIT\x10\x02\x42\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3')
name="CommandProto",
full_name="communicator_objects.CommandProto",
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name="STEP", index=0, number=0, serialized_options=None, type=None
),
_descriptor.EnumValueDescriptor(
name="RESET", index=1, number=1, serialized_options=None, type=None
),
_descriptor.EnumValueDescriptor(
name="QUIT", index=2, number=2, serialized_options=None, type=None
),
],
containing_type=None,
serialized_options=None,
serialized_start=80,
serialized_end=125,
name='CommandProto',
full_name='communicator_objects.CommandProto',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='STEP', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='RESET', index=1, number=1,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='QUIT', index=2, number=2,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=80,
serialized_end=125,
)
_sym_db.RegisterEnumDescriptor(_COMMANDPROTO)

QUIT = 2
DESCRIPTOR.enum_types_by_name["CommandProto"] = _COMMANDPROTO
DESCRIPTOR.enum_types_by_name['CommandProto'] = _COMMANDPROTO
DESCRIPTOR._options = None
DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\252\002\034MLAgents.CommunicatorObjects'))
# @@protoc_insertion_point(module_scope)

3
ml-agents-envs/mlagents/envs/communicator_objects/command_proto_pb2.pyi
查看文件


def values(cls) -> typing___List[CommandProto]: ...
@classmethod
def items(cls) -> typing___List[typing___Tuple[str, CommandProto]]: ...
STEP = typing___cast(CommandProto, 0)
RESET = typing___cast(CommandProto, 1)
QUIT = typing___cast(CommandProto, 2)
STEP = typing___cast(CommandProto, 0)
RESET = typing___cast(CommandProto, 1)
QUIT = typing___cast(CommandProto, 2)

76
ml-agents-envs/mlagents/envs/communicator_objects/custom_action_pb2.py
查看文件


# -*- coding: utf-8 -*-
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor_pb2
name="mlagents/envs/communicator_objects/custom_action.proto",
package="communicator_objects",
syntax="proto3",
serialized_options=_b("\252\002\034MLAgents.CommunicatorObjects"),
serialized_pb=_b(
'\n6mlagents/envs/communicator_objects/custom_action.proto\x12\x14\x63ommunicator_objects"\x0e\n\x0c\x43ustomActionB\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3'
),
name='mlagents/envs/communicator_objects/custom_action.proto',
package='communicator_objects',
syntax='proto3',
serialized_pb=_b('\n6mlagents/envs/communicator_objects/custom_action.proto\x12\x14\x63ommunicator_objects\"\x0e\n\x0c\x43ustomActionB\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3')
name="CustomAction",
full_name="communicator_objects.CustomAction",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=80,
serialized_end=94,
name='CustomAction',
full_name='communicator_objects.CustomAction',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=80,
serialized_end=94,
DESCRIPTOR.message_types_by_name["CustomAction"] = _CUSTOMACTION
DESCRIPTOR.message_types_by_name['CustomAction'] = _CUSTOMACTION
CustomAction = _reflection.GeneratedProtocolMessageType(
"CustomAction",
(_message.Message,),
dict(
DESCRIPTOR=_CUSTOMACTION,
__module__="mlagents.envs.communicator_objects.custom_action_pb2"
# @@protoc_insertion_point(class_scope:communicator_objects.CustomAction)
),
)
CustomAction = _reflection.GeneratedProtocolMessageType('CustomAction', (_message.Message,), dict(
DESCRIPTOR = _CUSTOMACTION,
__module__ = 'mlagents.envs.communicator_objects.custom_action_pb2'
# @@protoc_insertion_point(class_scope:communicator_objects.CustomAction)
))
DESCRIPTOR._options = None
DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\252\002\034MLAgents.CommunicatorObjects'))
# @@protoc_insertion_point(module_scope)

5
ml-agents-envs/mlagents/envs/communicator_objects/custom_action_pb2.pyi
查看文件


# @generated by generate_proto_mypy_stubs.py. Do not edit!
import sys
from google.protobuf.descriptor import (
Descriptor as google___protobuf___descriptor___Descriptor,
)
from google.protobuf.message import (
Message as google___protobuf___message___Message,
)

DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
def __init__(self,
) -> None: ...

76
ml-agents-envs/mlagents/envs/communicator_objects/custom_observation_pb2.py
查看文件


# -*- coding: utf-8 -*-
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor_pb2
name="mlagents/envs/communicator_objects/custom_observation.proto",
package="communicator_objects",
syntax="proto3",
serialized_options=_b("\252\002\034MLAgents.CommunicatorObjects"),
serialized_pb=_b(
'\n;mlagents/envs/communicator_objects/custom_observation.proto\x12\x14\x63ommunicator_objects"\x13\n\x11\x43ustomObservationB\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3'
),
name='mlagents/envs/communicator_objects/custom_observation.proto',
package='communicator_objects',
syntax='proto3',
serialized_pb=_b('\n;mlagents/envs/communicator_objects/custom_observation.proto\x12\x14\x63ommunicator_objects\"\x13\n\x11\x43ustomObservationB\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3')
name="CustomObservation",
full_name="communicator_objects.CustomObservation",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=85,
serialized_end=104,
name='CustomObservation',
full_name='communicator_objects.CustomObservation',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=85,
serialized_end=104,
DESCRIPTOR.message_types_by_name["CustomObservation"] = _CUSTOMOBSERVATION
DESCRIPTOR.message_types_by_name['CustomObservation'] = _CUSTOMOBSERVATION
CustomObservation = _reflection.GeneratedProtocolMessageType(
"CustomObservation",
(_message.Message,),
dict(
DESCRIPTOR=_CUSTOMOBSERVATION,
__module__="mlagents.envs.communicator_objects.custom_observation_pb2"
# @@protoc_insertion_point(class_scope:communicator_objects.CustomObservation)
),
)
CustomObservation = _reflection.GeneratedProtocolMessageType('CustomObservation', (_message.Message,), dict(
DESCRIPTOR = _CUSTOMOBSERVATION,
__module__ = 'mlagents.envs.communicator_objects.custom_observation_pb2'
# @@protoc_insertion_point(class_scope:communicator_objects.CustomObservation)
))
DESCRIPTOR._options = None
DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\252\002\034MLAgents.CommunicatorObjects'))
# @@protoc_insertion_point(module_scope)

5
ml-agents-envs/mlagents/envs/communicator_objects/custom_observation_pb2.pyi
查看文件


# @generated by generate_proto_mypy_stubs.py. Do not edit!
import sys
from google.protobuf.descriptor import (
Descriptor as google___protobuf___descriptor___Descriptor,
)
from google.protobuf.message import (
Message as google___protobuf___message___Message,
)

DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
def __init__(self,
) -> None: ...

76
ml-agents-envs/mlagents/envs/communicator_objects/custom_reset_parameters_pb2.py
查看文件


# -*- coding: utf-8 -*-
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor_pb2
name="mlagents/envs/communicator_objects/custom_reset_parameters.proto",
package="communicator_objects",
syntax="proto3",
serialized_options=_b("\252\002\034MLAgents.CommunicatorObjects"),
serialized_pb=_b(
'\n@mlagents/envs/communicator_objects/custom_reset_parameters.proto\x12\x14\x63ommunicator_objects"\x17\n\x15\x43ustomResetParametersB\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3'
),
name='mlagents/envs/communicator_objects/custom_reset_parameters.proto',
package='communicator_objects',
syntax='proto3',
serialized_pb=_b('\n@mlagents/envs/communicator_objects/custom_reset_parameters.proto\x12\x14\x63ommunicator_objects\"\x17\n\x15\x43ustomResetParametersB\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3')
name="CustomResetParameters",
full_name="communicator_objects.CustomResetParameters",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=90,
serialized_end=113,
name='CustomResetParameters',
full_name='communicator_objects.CustomResetParameters',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=90,
serialized_end=113,
DESCRIPTOR.message_types_by_name["CustomResetParameters"] = _CUSTOMRESETPARAMETERS
DESCRIPTOR.message_types_by_name['CustomResetParameters'] = _CUSTOMRESETPARAMETERS
CustomResetParameters = _reflection.GeneratedProtocolMessageType(
"CustomResetParameters",
(_message.Message,),
dict(
DESCRIPTOR=_CUSTOMRESETPARAMETERS,
__module__="mlagents.envs.communicator_objects.custom_reset_parameters_pb2"
# @@protoc_insertion_point(class_scope:communicator_objects.CustomResetParameters)
),
)
CustomResetParameters = _reflection.GeneratedProtocolMessageType('CustomResetParameters', (_message.Message,), dict(
DESCRIPTOR = _CUSTOMRESETPARAMETERS,
__module__ = 'mlagents.envs.communicator_objects.custom_reset_parameters_pb2'
# @@protoc_insertion_point(class_scope:communicator_objects.CustomResetParameters)
))
DESCRIPTOR._options = None
DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\252\002\034MLAgents.CommunicatorObjects'))
# @@protoc_insertion_point(module_scope)

5
ml-agents-envs/mlagents/envs/communicator_objects/custom_reset_parameters_pb2.pyi
查看文件


# @generated by generate_proto_mypy_stubs.py. Do not edit!
import sys
from google.protobuf.descriptor import (
Descriptor as google___protobuf___descriptor___Descriptor,
)
from google.protobuf.message import (
Message as google___protobuf___message___Message,
)

DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
def __init__(self,
) -> None: ...

202
ml-agents-envs/mlagents/envs/communicator_objects/demonstration_meta_proto_pb2.py
查看文件


# -*- coding: utf-8 -*-
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor_pb2
name="mlagents/envs/communicator_objects/demonstration_meta_proto.proto",
package="communicator_objects",
syntax="proto3",
serialized_options=_b("\252\002\034MLAgents.CommunicatorObjects"),
serialized_pb=_b(
'\nAmlagents/envs/communicator_objects/demonstration_meta_proto.proto\x12\x14\x63ommunicator_objects"\x8d\x01\n\x16\x44\x65monstrationMetaProto\x12\x13\n\x0b\x61pi_version\x18\x01 \x01(\x05\x12\x1a\n\x12\x64\x65monstration_name\x18\x02 \x01(\t\x12\x14\n\x0cnumber_steps\x18\x03 \x01(\x05\x12\x17\n\x0fnumber_episodes\x18\x04 \x01(\x05\x12\x13\n\x0bmean_reward\x18\x05 \x01(\x02\x42\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3'
),
name='mlagents/envs/communicator_objects/demonstration_meta_proto.proto',
package='communicator_objects',
syntax='proto3',
serialized_pb=_b('\nAmlagents/envs/communicator_objects/demonstration_meta_proto.proto\x12\x14\x63ommunicator_objects\"\x8d\x01\n\x16\x44\x65monstrationMetaProto\x12\x13\n\x0b\x61pi_version\x18\x01 \x01(\x05\x12\x1a\n\x12\x64\x65monstration_name\x18\x02 \x01(\t\x12\x14\n\x0cnumber_steps\x18\x03 \x01(\x05\x12\x17\n\x0fnumber_episodes\x18\x04 \x01(\x05\x12\x13\n\x0bmean_reward\x18\x05 \x01(\x02\x42\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3')
name="DemonstrationMetaProto",
full_name="communicator_objects.DemonstrationMetaProto",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="api_version",
full_name="communicator_objects.DemonstrationMetaProto.api_version",
index=0,
number=1,
type=5,
cpp_type=1,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="demonstration_name",
full_name="communicator_objects.DemonstrationMetaProto.demonstration_name",
index=1,
number=2,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="number_steps",
full_name="communicator_objects.DemonstrationMetaProto.number_steps",
index=2,
number=3,
type=5,
cpp_type=1,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="number_episodes",
full_name="communicator_objects.DemonstrationMetaProto.number_episodes",
index=3,
number=4,
type=5,
cpp_type=1,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="mean_reward",
full_name="communicator_objects.DemonstrationMetaProto.mean_reward",
index=4,
number=5,
type=2,
cpp_type=6,
label=1,
has_default_value=False,
default_value=float(0),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=92,
serialized_end=233,
name='DemonstrationMetaProto',
full_name='communicator_objects.DemonstrationMetaProto',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='api_version', full_name='communicator_objects.DemonstrationMetaProto.api_version', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='demonstration_name', full_name='communicator_objects.DemonstrationMetaProto.demonstration_name', index=1,
number=2, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='number_steps', full_name='communicator_objects.DemonstrationMetaProto.number_steps', index=2,
number=3, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='number_episodes', full_name='communicator_objects.DemonstrationMetaProto.number_episodes', index=3,
number=4, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='mean_reward', full_name='communicator_objects.DemonstrationMetaProto.mean_reward', index=4,
number=5, type=2, cpp_type=6, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=92,
serialized_end=233,
DESCRIPTOR.message_types_by_name["DemonstrationMetaProto"] = _DEMONSTRATIONMETAPROTO
DESCRIPTOR.message_types_by_name['DemonstrationMetaProto'] = _DEMONSTRATIONMETAPROTO
DemonstrationMetaProto = _reflection.GeneratedProtocolMessageType(
"DemonstrationMetaProto",
(_message.Message,),
dict(
DESCRIPTOR=_DEMONSTRATIONMETAPROTO,
__module__="mlagents.envs.communicator_objects.demonstration_meta_proto_pb2"
# @@protoc_insertion_point(class_scope:communicator_objects.DemonstrationMetaProto)
),
)
DemonstrationMetaProto = _reflection.GeneratedProtocolMessageType('DemonstrationMetaProto', (_message.Message,), dict(
DESCRIPTOR = _DEMONSTRATIONMETAPROTO,
__module__ = 'mlagents.envs.communicator_objects.demonstration_meta_proto_pb2'
# @@protoc_insertion_point(class_scope:communicator_objects.DemonstrationMetaProto)
))
DESCRIPTOR._options = None
DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\252\002\034MLAgents.CommunicatorObjects'))
# @@protoc_insertion_point(module_scope)

8
ml-agents-envs/mlagents/envs/communicator_objects/demonstration_meta_proto_pb2.pyi
查看文件


# @generated by generate_proto_mypy_stubs.py. Do not edit!
import sys
from google.protobuf.descriptor import (
Descriptor as google___protobuf___descriptor___Descriptor,
)
from google.protobuf.message import (
Message as google___protobuf___message___Message,
)

class DemonstrationMetaProto(google___protobuf___message___Message):
DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
api_version = ... # type: int
demonstration_name = ... # type: typing___Text
number_steps = ... # type: int

def __init__(self,
*,
api_version : typing___Optional[int] = None,
demonstration_name : typing___Optional[typing___Text] = None,
number_steps : typing___Optional[int] = None,

if sys.version_info >= (3,):
def ClearField(self, field_name: typing_extensions___Literal[u"api_version",u"demonstration_name",u"mean_reward",u"number_episodes",u"number_steps"]) -> None: ...
else:
def ClearField(self, field_name: typing_extensions___Literal[b"api_version",b"demonstration_name",b"mean_reward",b"number_episodes",b"number_steps"]) -> None: ...
def ClearField(self, field_name: typing_extensions___Literal[u"api_version",b"api_version",u"demonstration_name",b"demonstration_name",u"mean_reward",b"mean_reward",u"number_episodes",b"number_episodes",u"number_steps",b"number_steps"]) -> None: ...

227
ml-agents-envs/mlagents/envs/communicator_objects/engine_configuration_proto_pb2.py
查看文件


# -*- coding: utf-8 -*-
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor_pb2
name="mlagents/envs/communicator_objects/engine_configuration_proto.proto",
package="communicator_objects",
syntax="proto3",
serialized_options=_b("\252\002\034MLAgents.CommunicatorObjects"),
serialized_pb=_b(
'\nCmlagents/envs/communicator_objects/engine_configuration_proto.proto\x12\x14\x63ommunicator_objects"\x95\x01\n\x18\x45ngineConfigurationProto\x12\r\n\x05width\x18\x01 \x01(\x05\x12\x0e\n\x06height\x18\x02 \x01(\x05\x12\x15\n\rquality_level\x18\x03 \x01(\x05\x12\x12\n\ntime_scale\x18\x04 \x01(\x02\x12\x19\n\x11target_frame_rate\x18\x05 \x01(\x05\x12\x14\n\x0cshow_monitor\x18\x06 \x01(\x08\x42\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3'
),
name='mlagents/envs/communicator_objects/engine_configuration_proto.proto',
package='communicator_objects',
syntax='proto3',
serialized_pb=_b('\nCmlagents/envs/communicator_objects/engine_configuration_proto.proto\x12\x14\x63ommunicator_objects\"\x95\x01\n\x18\x45ngineConfigurationProto\x12\r\n\x05width\x18\x01 \x01(\x05\x12\x0e\n\x06height\x18\x02 \x01(\x05\x12\x15\n\rquality_level\x18\x03 \x01(\x05\x12\x12\n\ntime_scale\x18\x04 \x01(\x02\x12\x19\n\x11target_frame_rate\x18\x05 \x01(\x05\x12\x14\n\x0cshow_monitor\x18\x06 \x01(\x08\x42\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3')
name="EngineConfigurationProto",
full_name="communicator_objects.EngineConfigurationProto",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="width",
full_name="communicator_objects.EngineConfigurationProto.width",
index=0,
number=1,
type=5,
cpp_type=1,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="height",
full_name="communicator_objects.EngineConfigurationProto.height",
index=1,
number=2,
type=5,
cpp_type=1,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="quality_level",
full_name="communicator_objects.EngineConfigurationProto.quality_level",
index=2,
number=3,
type=5,
cpp_type=1,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="time_scale",
full_name="communicator_objects.EngineConfigurationProto.time_scale",
index=3,
number=4,
type=2,
cpp_type=6,
label=1,
has_default_value=False,
default_value=float(0),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="target_frame_rate",
full_name="communicator_objects.EngineConfigurationProto.target_frame_rate",
index=4,
number=5,
type=5,
cpp_type=1,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="show_monitor",
full_name="communicator_objects.EngineConfigurationProto.show_monitor",
index=5,
number=6,
type=8,
cpp_type=7,
label=1,
has_default_value=False,
default_value=False,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=94,
serialized_end=243,
name='EngineConfigurationProto',
full_name='communicator_objects.EngineConfigurationProto',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='width', full_name='communicator_objects.EngineConfigurationProto.width', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='height', full_name='communicator_objects.EngineConfigurationProto.height', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='quality_level', full_name='communicator_objects.EngineConfigurationProto.quality_level', index=2,
number=3, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='time_scale', full_name='communicator_objects.EngineConfigurationProto.time_scale', index=3,
number=4, type=2, cpp_type=6, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='target_frame_rate', full_name='communicator_objects.EngineConfigurationProto.target_frame_rate', index=4,
number=5, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='show_monitor', full_name='communicator_objects.EngineConfigurationProto.show_monitor', index=5,
number=6, type=8, cpp_type=7, label=1,
has_default_value=False, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=94,
serialized_end=243,
DESCRIPTOR.message_types_by_name["EngineConfigurationProto"] = _ENGINECONFIGURATIONPROTO
DESCRIPTOR.message_types_by_name['EngineConfigurationProto'] = _ENGINECONFIGURATIONPROTO
EngineConfigurationProto = _reflection.GeneratedProtocolMessageType(
"EngineConfigurationProto",
(_message.Message,),
dict(
DESCRIPTOR=_ENGINECONFIGURATIONPROTO,
__module__="mlagents.envs.communicator_objects.engine_configuration_proto_pb2"
# @@protoc_insertion_point(class_scope:communicator_objects.EngineConfigurationProto)
),
)
EngineConfigurationProto = _reflection.GeneratedProtocolMessageType('EngineConfigurationProto', (_message.Message,), dict(
DESCRIPTOR = _ENGINECONFIGURATIONPROTO,
__module__ = 'mlagents.envs.communicator_objects.engine_configuration_proto_pb2'
# @@protoc_insertion_point(class_scope:communicator_objects.EngineConfigurationProto)
))
DESCRIPTOR._options = None
DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\252\002\034MLAgents.CommunicatorObjects'))
# @@protoc_insertion_point(module_scope)

8
ml-agents-envs/mlagents/envs/communicator_objects/engine_configuration_proto_pb2.pyi
查看文件


# @generated by generate_proto_mypy_stubs.py. Do not edit!
import sys
from google.protobuf.descriptor import (
Descriptor as google___protobuf___descriptor___Descriptor,
)
from google.protobuf.message import (
Message as google___protobuf___message___Message,
)

class EngineConfigurationProto(google___protobuf___message___Message):
DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
width = ... # type: int
height = ... # type: int
quality_level = ... # type: int

def __init__(self,
*,
width : typing___Optional[int] = None,
height : typing___Optional[int] = None,
quality_level : typing___Optional[int] = None,

if sys.version_info >= (3,):
def ClearField(self, field_name: typing_extensions___Literal[u"height",u"quality_level",u"show_monitor",u"target_frame_rate",u"time_scale",u"width"]) -> None: ...
else:
def ClearField(self, field_name: typing_extensions___Literal[b"height",b"quality_level",b"show_monitor",b"target_frame_rate",b"time_scale",b"width"]) -> None: ...
def ClearField(self, field_name: typing_extensions___Literal[u"height",b"height",u"quality_level",b"quality_level",u"show_monitor",b"show_monitor",u"target_frame_rate",b"target_frame_rate",u"time_scale",b"time_scale",u"width",b"width"]) -> None: ...

257
ml-agents-envs/mlagents/envs/communicator_objects/environment_parameters_proto_pb2.py
查看文件


# -*- coding: utf-8 -*-
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor_pb2
from mlagents.envs.communicator_objects import (
custom_reset_parameters_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_custom__reset__parameters__pb2,
)
from mlagents.envs.communicator_objects import custom_reset_parameters_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_custom__reset__parameters__pb2
name="mlagents/envs/communicator_objects/environment_parameters_proto.proto",
package="communicator_objects",
syntax="proto3",
serialized_options=_b("\252\002\034MLAgents.CommunicatorObjects"),
serialized_pb=_b(
'\nEmlagents/envs/communicator_objects/environment_parameters_proto.proto\x12\x14\x63ommunicator_objects\x1a@mlagents/envs/communicator_objects/custom_reset_parameters.proto"\x83\x02\n\x1a\x45nvironmentParametersProto\x12_\n\x10\x66loat_parameters\x18\x01 \x03(\x0b\x32\x45.communicator_objects.EnvironmentParametersProto.FloatParametersEntry\x12L\n\x17\x63ustom_reset_parameters\x18\x02 \x01(\x0b\x32+.communicator_objects.CustomResetParameters\x1a\x36\n\x14\x46loatParametersEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\x02:\x02\x38\x01\x42\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3'
),
dependencies=[
mlagents_dot_envs_dot_communicator__objects_dot_custom__reset__parameters__pb2.DESCRIPTOR
],
)
name='mlagents/envs/communicator_objects/environment_parameters_proto.proto',
package='communicator_objects',
syntax='proto3',
serialized_pb=_b('\nEmlagents/envs/communicator_objects/environment_parameters_proto.proto\x12\x14\x63ommunicator_objects\x1a@mlagents/envs/communicator_objects/custom_reset_parameters.proto\"\x83\x02\n\x1a\x45nvironmentParametersProto\x12_\n\x10\x66loat_parameters\x18\x01 \x03(\x0b\x32\x45.communicator_objects.EnvironmentParametersProto.FloatParametersEntry\x12L\n\x17\x63ustom_reset_parameters\x18\x02 \x01(\x0b\x32+.communicator_objects.CustomResetParameters\x1a\x36\n\x14\x46loatParametersEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\x02:\x02\x38\x01\x42\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3')
,
dependencies=[mlagents_dot_envs_dot_communicator__objects_dot_custom__reset__parameters__pb2.DESCRIPTOR,])
name="FloatParametersEntry",
full_name="communicator_objects.EnvironmentParametersProto.FloatParametersEntry",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="key",
full_name="communicator_objects.EnvironmentParametersProto.FloatParametersEntry.key",
index=0,
number=1,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="value",
full_name="communicator_objects.EnvironmentParametersProto.FloatParametersEntry.value",
index=1,
number=2,
type=2,
cpp_type=6,
label=1,
has_default_value=False,
default_value=float(0),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=_b("8\001"),
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=367,
serialized_end=421,
name='FloatParametersEntry',
full_name='communicator_objects.EnvironmentParametersProto.FloatParametersEntry',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='key', full_name='communicator_objects.EnvironmentParametersProto.FloatParametersEntry.key', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='value', full_name='communicator_objects.EnvironmentParametersProto.FloatParametersEntry.value', index=1,
number=2, type=2, cpp_type=6, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=_descriptor._ParseOptions(descriptor_pb2.MessageOptions(), _b('8\001')),
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=367,
serialized_end=421,
name="EnvironmentParametersProto",
full_name="communicator_objects.EnvironmentParametersProto",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="float_parameters",
full_name="communicator_objects.EnvironmentParametersProto.float_parameters",
index=0,
number=1,
type=11,
cpp_type=10,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="custom_reset_parameters",
full_name="communicator_objects.EnvironmentParametersProto.custom_reset_parameters",
index=1,
number=2,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
],
extensions=[],
nested_types=[_ENVIRONMENTPARAMETERSPROTO_FLOATPARAMETERSENTRY],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=162,
serialized_end=421,
name='EnvironmentParametersProto',
full_name='communicator_objects.EnvironmentParametersProto',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='float_parameters', full_name='communicator_objects.EnvironmentParametersProto.float_parameters', index=0,
number=1, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='custom_reset_parameters', full_name='communicator_objects.EnvironmentParametersProto.custom_reset_parameters', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[_ENVIRONMENTPARAMETERSPROTO_FLOATPARAMETERSENTRY, ],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=162,
serialized_end=421,
_ENVIRONMENTPARAMETERSPROTO_FLOATPARAMETERSENTRY.containing_type = (
_ENVIRONMENTPARAMETERSPROTO
)
_ENVIRONMENTPARAMETERSPROTO.fields_by_name[
"float_parameters"
].message_type = _ENVIRONMENTPARAMETERSPROTO_FLOATPARAMETERSENTRY
_ENVIRONMENTPARAMETERSPROTO.fields_by_name[
"custom_reset_parameters"
].message_type = (
mlagents_dot_envs_dot_communicator__objects_dot_custom__reset__parameters__pb2._CUSTOMRESETPARAMETERS
)
DESCRIPTOR.message_types_by_name[
"EnvironmentParametersProto"
] = _ENVIRONMENTPARAMETERSPROTO
_ENVIRONMENTPARAMETERSPROTO_FLOATPARAMETERSENTRY.containing_type = _ENVIRONMENTPARAMETERSPROTO
_ENVIRONMENTPARAMETERSPROTO.fields_by_name['float_parameters'].message_type = _ENVIRONMENTPARAMETERSPROTO_FLOATPARAMETERSENTRY
_ENVIRONMENTPARAMETERSPROTO.fields_by_name['custom_reset_parameters'].message_type = mlagents_dot_envs_dot_communicator__objects_dot_custom__reset__parameters__pb2._CUSTOMRESETPARAMETERS
DESCRIPTOR.message_types_by_name['EnvironmentParametersProto'] = _ENVIRONMENTPARAMETERSPROTO
EnvironmentParametersProto = _reflection.GeneratedProtocolMessageType(
"EnvironmentParametersProto",
(_message.Message,),
dict(
FloatParametersEntry=_reflection.GeneratedProtocolMessageType(
"FloatParametersEntry",
(_message.Message,),
dict(
DESCRIPTOR=_ENVIRONMENTPARAMETERSPROTO_FLOATPARAMETERSENTRY,
__module__="mlagents.envs.communicator_objects.environment_parameters_proto_pb2"
# @@protoc_insertion_point(class_scope:communicator_objects.EnvironmentParametersProto.FloatParametersEntry)
),
),
DESCRIPTOR=_ENVIRONMENTPARAMETERSPROTO,
__module__="mlagents.envs.communicator_objects.environment_parameters_proto_pb2"
# @@protoc_insertion_point(class_scope:communicator_objects.EnvironmentParametersProto)
),
)
EnvironmentParametersProto = _reflection.GeneratedProtocolMessageType('EnvironmentParametersProto', (_message.Message,), dict(
FloatParametersEntry = _reflection.GeneratedProtocolMessageType('FloatParametersEntry', (_message.Message,), dict(
DESCRIPTOR = _ENVIRONMENTPARAMETERSPROTO_FLOATPARAMETERSENTRY,
__module__ = 'mlagents.envs.communicator_objects.environment_parameters_proto_pb2'
# @@protoc_insertion_point(class_scope:communicator_objects.EnvironmentParametersProto.FloatParametersEntry)
))
,
DESCRIPTOR = _ENVIRONMENTPARAMETERSPROTO,
__module__ = 'mlagents.envs.communicator_objects.environment_parameters_proto_pb2'
# @@protoc_insertion_point(class_scope:communicator_objects.EnvironmentParametersProto)
))
DESCRIPTOR._options = None
_ENVIRONMENTPARAMETERSPROTO_FLOATPARAMETERSENTRY._options = None
DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\252\002\034MLAgents.CommunicatorObjects'))
_ENVIRONMENTPARAMETERSPROTO_FLOATPARAMETERSENTRY.has_options = True
_ENVIRONMENTPARAMETERSPROTO_FLOATPARAMETERSENTRY._options = _descriptor._ParseOptions(descriptor_pb2.MessageOptions(), _b('8\001'))
# @@protoc_insertion_point(module_scope)

12
ml-agents-envs/mlagents/envs/communicator_objects/environment_parameters_proto_pb2.pyi
查看文件


# @generated by generate_proto_mypy_stubs.py. Do not edit!
import sys
from google.protobuf.descriptor import (
Descriptor as google___protobuf___descriptor___Descriptor,
)
from google.protobuf.message import (
Message as google___protobuf___message___Message,
)

class EnvironmentParametersProto(google___protobuf___message___Message):
DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
*,
key : typing___Optional[typing___Text] = None,
value : typing___Optional[float] = None,
) -> None: ...

if sys.version_info >= (3,):
def ClearField(self, field_name: typing_extensions___Literal[u"key",u"value"]) -> None: ...
else:
def ClearField(self, field_name: typing_extensions___Literal[b"key",b"value"]) -> None: ...
def ClearField(self, field_name: typing_extensions___Literal[u"key",b"key",u"value",b"value"]) -> None: ...
@property

def custom_reset_parameters(self) -> mlagents___envs___communicator_objects___custom_reset_parameters_pb2___CustomResetParameters: ...
def __init__(self,
*,
float_parameters : typing___Optional[typing___Mapping[typing___Text, float]] = None,
custom_reset_parameters : typing___Optional[mlagents___envs___communicator_objects___custom_reset_parameters_pb2___CustomResetParameters] = None,
) -> None: ...

def ClearField(self, field_name: typing_extensions___Literal[u"custom_reset_parameters",u"float_parameters"]) -> None: ...
else:
def HasField(self, field_name: typing_extensions___Literal[u"custom_reset_parameters",b"custom_reset_parameters"]) -> bool: ...
def ClearField(self, field_name: typing_extensions___Literal[b"custom_reset_parameters",b"float_parameters"]) -> None: ...
def ClearField(self, field_name: typing_extensions___Literal[u"custom_reset_parameters",b"custom_reset_parameters",u"float_parameters",b"float_parameters"]) -> None: ...

127
ml-agents-envs/mlagents/envs/communicator_objects/header_pb2.py
查看文件


# -*- coding: utf-8 -*-
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor_pb2
name="mlagents/envs/communicator_objects/header.proto",
package="communicator_objects",
syntax="proto3",
serialized_options=_b("\252\002\034MLAgents.CommunicatorObjects"),
serialized_pb=_b(
'\n/mlagents/envs/communicator_objects/header.proto\x12\x14\x63ommunicator_objects")\n\x06Header\x12\x0e\n\x06status\x18\x01 \x01(\x05\x12\x0f\n\x07message\x18\x02 \x01(\tB\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3'
),
name='mlagents/envs/communicator_objects/header.proto',
package='communicator_objects',
syntax='proto3',
serialized_pb=_b('\n/mlagents/envs/communicator_objects/header.proto\x12\x14\x63ommunicator_objects\")\n\x06Header\x12\x0e\n\x06status\x18\x01 \x01(\x05\x12\x0f\n\x07message\x18\x02 \x01(\tB\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3')
name="Header",
full_name="communicator_objects.Header",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="status",
full_name="communicator_objects.Header.status",
index=0,
number=1,
type=5,
cpp_type=1,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="message",
full_name="communicator_objects.Header.message",
index=1,
number=2,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=73,
serialized_end=114,
name='Header',
full_name='communicator_objects.Header',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='status', full_name='communicator_objects.Header.status', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='message', full_name='communicator_objects.Header.message', index=1,
number=2, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=73,
serialized_end=114,
DESCRIPTOR.message_types_by_name["Header"] = _HEADER
DESCRIPTOR.message_types_by_name['Header'] = _HEADER
Header = _reflection.GeneratedProtocolMessageType(
"Header",
(_message.Message,),
dict(
DESCRIPTOR=_HEADER,
__module__="mlagents.envs.communicator_objects.header_pb2"
# @@protoc_insertion_point(class_scope:communicator_objects.Header)
),
)
Header = _reflection.GeneratedProtocolMessageType('Header', (_message.Message,), dict(
DESCRIPTOR = _HEADER,
__module__ = 'mlagents.envs.communicator_objects.header_pb2'
# @@protoc_insertion_point(class_scope:communicator_objects.Header)
))
DESCRIPTOR._options = None
DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\252\002\034MLAgents.CommunicatorObjects'))
# @@protoc_insertion_point(module_scope)

8
ml-agents-envs/mlagents/envs/communicator_objects/header_pb2.pyi
查看文件


# @generated by generate_proto_mypy_stubs.py. Do not edit!
import sys
from google.protobuf.descriptor import (
Descriptor as google___protobuf___descriptor___Descriptor,
)
from google.protobuf.message import (
Message as google___protobuf___message___Message,
)

class Header(google___protobuf___message___Message):
DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
*,
status : typing___Optional[int] = None,
message : typing___Optional[typing___Text] = None,
) -> None: ...

if sys.version_info >= (3,):
def ClearField(self, field_name: typing_extensions___Literal[u"message",u"status"]) -> None: ...
else:
def ClearField(self, field_name: typing_extensions___Literal[b"message",b"status"]) -> None: ...
def ClearField(self, field_name: typing_extensions___Literal[u"message",b"message",u"status",b"status"]) -> None: ...

152
ml-agents-envs/mlagents/envs/communicator_objects/resolution_proto_pb2.py
查看文件


# -*- coding: utf-8 -*-
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor_pb2
name="mlagents/envs/communicator_objects/resolution_proto.proto",
package="communicator_objects",
syntax="proto3",
serialized_options=_b("\252\002\034MLAgents.CommunicatorObjects"),
serialized_pb=_b(
'\n9mlagents/envs/communicator_objects/resolution_proto.proto\x12\x14\x63ommunicator_objects"D\n\x0fResolutionProto\x12\r\n\x05width\x18\x01 \x01(\x05\x12\x0e\n\x06height\x18\x02 \x01(\x05\x12\x12\n\ngray_scale\x18\x03 \x01(\x08\x42\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3'
),
name='mlagents/envs/communicator_objects/resolution_proto.proto',
package='communicator_objects',
syntax='proto3',
serialized_pb=_b('\n9mlagents/envs/communicator_objects/resolution_proto.proto\x12\x14\x63ommunicator_objects\"D\n\x0fResolutionProto\x12\r\n\x05width\x18\x01 \x01(\x05\x12\x0e\n\x06height\x18\x02 \x01(\x05\x12\x12\n\ngray_scale\x18\x03 \x01(\x08\x42\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3')
name="ResolutionProto",
full_name="communicator_objects.ResolutionProto",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="width",
full_name="communicator_objects.ResolutionProto.width",
index=0,
number=1,
type=5,
cpp_type=1,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="height",
full_name="communicator_objects.ResolutionProto.height",
index=1,
number=2,
type=5,
cpp_type=1,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="gray_scale",
full_name="communicator_objects.ResolutionProto.gray_scale",
index=2,
number=3,
type=8,
cpp_type=7,
label=1,
has_default_value=False,
default_value=False,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=83,
serialized_end=151,
name='ResolutionProto',
full_name='communicator_objects.ResolutionProto',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='width', full_name='communicator_objects.ResolutionProto.width', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='height', full_name='communicator_objects.ResolutionProto.height', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='gray_scale', full_name='communicator_objects.ResolutionProto.gray_scale', index=2,
number=3, type=8, cpp_type=7, label=1,
has_default_value=False, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=83,
serialized_end=151,
DESCRIPTOR.message_types_by_name["ResolutionProto"] = _RESOLUTIONPROTO
DESCRIPTOR.message_types_by_name['ResolutionProto'] = _RESOLUTIONPROTO
ResolutionProto = _reflection.GeneratedProtocolMessageType(
"ResolutionProto",
(_message.Message,),
dict(
DESCRIPTOR=_RESOLUTIONPROTO,
__module__="mlagents.envs.communicator_objects.resolution_proto_pb2"
# @@protoc_insertion_point(class_scope:communicator_objects.ResolutionProto)
),
)
ResolutionProto = _reflection.GeneratedProtocolMessageType('ResolutionProto', (_message.Message,), dict(
DESCRIPTOR = _RESOLUTIONPROTO,
__module__ = 'mlagents.envs.communicator_objects.resolution_proto_pb2'
# @@protoc_insertion_point(class_scope:communicator_objects.ResolutionProto)
))
DESCRIPTOR._options = None
DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\252\002\034MLAgents.CommunicatorObjects'))
# @@protoc_insertion_point(module_scope)

8
ml-agents-envs/mlagents/envs/communicator_objects/resolution_proto_pb2.pyi
查看文件


# @generated by generate_proto_mypy_stubs.py. Do not edit!
import sys
from google.protobuf.descriptor import (
Descriptor as google___protobuf___descriptor___Descriptor,
)
from google.protobuf.message import (
Message as google___protobuf___message___Message,
)

class ResolutionProto(google___protobuf___message___Message):
DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
*,
width : typing___Optional[int] = None,
height : typing___Optional[int] = None,
gray_scale : typing___Optional[bool] = None,

if sys.version_info >= (3,):
def ClearField(self, field_name: typing_extensions___Literal[u"gray_scale",u"height",u"width"]) -> None: ...
else:
def ClearField(self, field_name: typing_extensions___Literal[b"gray_scale",b"height",b"width"]) -> None: ...
def ClearField(self, field_name: typing_extensions___Literal[u"gray_scale",b"gray_scale",u"height",b"height",u"width",b"width"]) -> None: ...

66
ml-agents-envs/mlagents/envs/communicator_objects/space_type_proto_pb2.py
查看文件


# -*- coding: utf-8 -*-
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor_pb2
from mlagents.envs.communicator_objects import (
resolution_proto_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_resolution__proto__pb2,
)
from mlagents.envs.communicator_objects import resolution_proto_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_resolution__proto__pb2
name="mlagents/envs/communicator_objects/space_type_proto.proto",
package="communicator_objects",
syntax="proto3",
serialized_options=_b("\252\002\034MLAgents.CommunicatorObjects"),
serialized_pb=_b(
"\n9mlagents/envs/communicator_objects/space_type_proto.proto\x12\x14\x63ommunicator_objects\x1a\x39mlagents/envs/communicator_objects/resolution_proto.proto*.\n\x0eSpaceTypeProto\x12\x0c\n\x08\x64iscrete\x10\x00\x12\x0e\n\ncontinuous\x10\x01\x42\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3"
),
dependencies=[
mlagents_dot_envs_dot_communicator__objects_dot_resolution__proto__pb2.DESCRIPTOR
],
)
name='mlagents/envs/communicator_objects/space_type_proto.proto',
package='communicator_objects',
syntax='proto3',
serialized_pb=_b('\n9mlagents/envs/communicator_objects/space_type_proto.proto\x12\x14\x63ommunicator_objects\x1a\x39mlagents/envs/communicator_objects/resolution_proto.proto*.\n\x0eSpaceTypeProto\x12\x0c\n\x08\x64iscrete\x10\x00\x12\x0e\n\ncontinuous\x10\x01\x42\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3')
,
dependencies=[mlagents_dot_envs_dot_communicator__objects_dot_resolution__proto__pb2.DESCRIPTOR,])
name="SpaceTypeProto",
full_name="communicator_objects.SpaceTypeProto",
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name="discrete", index=0, number=0, serialized_options=None, type=None
),
_descriptor.EnumValueDescriptor(
name="continuous", index=1, number=1, serialized_options=None, type=None
),
],
containing_type=None,
serialized_options=None,
serialized_start=142,
serialized_end=188,
name='SpaceTypeProto',
full_name='communicator_objects.SpaceTypeProto',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='discrete', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='continuous', index=1, number=1,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=142,
serialized_end=188,
)
_sym_db.RegisterEnumDescriptor(_SPACETYPEPROTO)

DESCRIPTOR.enum_types_by_name["SpaceTypeProto"] = _SPACETYPEPROTO
DESCRIPTOR.enum_types_by_name['SpaceTypeProto'] = _SPACETYPEPROTO
DESCRIPTOR._options = None
DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\252\002\034MLAgents.CommunicatorObjects'))
# @@protoc_insertion_point(module_scope)

2
ml-agents-envs/mlagents/envs/communicator_objects/space_type_proto_pb2.pyi
查看文件


def values(cls) -> typing___List[SpaceTypeProto]: ...
@classmethod
def items(cls) -> typing___List[typing___Tuple[str, SpaceTypeProto]]: ...
discrete = typing___cast(SpaceTypeProto, 0)
continuous = typing___cast(SpaceTypeProto, 1)
discrete = typing___cast(SpaceTypeProto, 0)
continuous = typing___cast(SpaceTypeProto, 1)

152
ml-agents-envs/mlagents/envs/communicator_objects/unity_input_pb2.py
查看文件


# -*- coding: utf-8 -*-
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor_pb2
from mlagents.envs.communicator_objects import (
unity_rl_input_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_unity__rl__input__pb2,
)
from mlagents.envs.communicator_objects import (
unity_rl_initialization_input_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_unity__rl__initialization__input__pb2,
)
from mlagents.envs.communicator_objects import unity_rl_input_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_unity__rl__input__pb2
from mlagents.envs.communicator_objects import unity_rl_initialization_input_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_unity__rl__initialization__input__pb2
name="mlagents/envs/communicator_objects/unity_input.proto",
package="communicator_objects",
syntax="proto3",
serialized_options=_b("\252\002\034MLAgents.CommunicatorObjects"),
serialized_pb=_b(
'\n4mlagents/envs/communicator_objects/unity_input.proto\x12\x14\x63ommunicator_objects\x1a\x37mlagents/envs/communicator_objects/unity_rl_input.proto\x1a\x46mlagents/envs/communicator_objects/unity_rl_initialization_input.proto"\x95\x01\n\nUnityInput\x12\x34\n\x08rl_input\x18\x01 \x01(\x0b\x32".communicator_objects.UnityRLInput\x12Q\n\x17rl_initialization_input\x18\x02 \x01(\x0b\x32\x30.communicator_objects.UnityRLInitializationInputB\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3'
),
dependencies=[
mlagents_dot_envs_dot_communicator__objects_dot_unity__rl__input__pb2.DESCRIPTOR,
mlagents_dot_envs_dot_communicator__objects_dot_unity__rl__initialization__input__pb2.DESCRIPTOR,
],
)
name='mlagents/envs/communicator_objects/unity_input.proto',
package='communicator_objects',
syntax='proto3',
serialized_pb=_b('\n4mlagents/envs/communicator_objects/unity_input.proto\x12\x14\x63ommunicator_objects\x1a\x37mlagents/envs/communicator_objects/unity_rl_input.proto\x1a\x46mlagents/envs/communicator_objects/unity_rl_initialization_input.proto\"\x95\x01\n\nUnityInput\x12\x34\n\x08rl_input\x18\x01 \x01(\x0b\x32\".communicator_objects.UnityRLInput\x12Q\n\x17rl_initialization_input\x18\x02 \x01(\x0b\x32\x30.communicator_objects.UnityRLInitializationInputB\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3')
,
dependencies=[mlagents_dot_envs_dot_communicator__objects_dot_unity__rl__input__pb2.DESCRIPTOR,mlagents_dot_envs_dot_communicator__objects_dot_unity__rl__initialization__input__pb2.DESCRIPTOR,])
name="UnityInput",
full_name="communicator_objects.UnityInput",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="rl_input",
full_name="communicator_objects.UnityInput.rl_input",
index=0,
number=1,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="rl_initialization_input",
full_name="communicator_objects.UnityInput.rl_initialization_input",
index=1,
number=2,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=208,
serialized_end=357,
name='UnityInput',
full_name='communicator_objects.UnityInput',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='rl_input', full_name='communicator_objects.UnityInput.rl_input', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='rl_initialization_input', full_name='communicator_objects.UnityInput.rl_initialization_input', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=208,
serialized_end=357,
_UNITYINPUT.fields_by_name[
"rl_input"
].message_type = (
mlagents_dot_envs_dot_communicator__objects_dot_unity__rl__input__pb2._UNITYRLINPUT
)
_UNITYINPUT.fields_by_name[
"rl_initialization_input"
].message_type = (
mlagents_dot_envs_dot_communicator__objects_dot_unity__rl__initialization__input__pb2._UNITYRLINITIALIZATIONINPUT
)
DESCRIPTOR.message_types_by_name["UnityInput"] = _UNITYINPUT
_UNITYINPUT.fields_by_name['rl_input'].message_type = mlagents_dot_envs_dot_communicator__objects_dot_unity__rl__input__pb2._UNITYRLINPUT
_UNITYINPUT.fields_by_name['rl_initialization_input'].message_type = mlagents_dot_envs_dot_communicator__objects_dot_unity__rl__initialization__input__pb2._UNITYRLINITIALIZATIONINPUT
DESCRIPTOR.message_types_by_name['UnityInput'] = _UNITYINPUT
UnityInput = _reflection.GeneratedProtocolMessageType(
"UnityInput",
(_message.Message,),
dict(
DESCRIPTOR=_UNITYINPUT,
__module__="mlagents.envs.communicator_objects.unity_input_pb2"
# @@protoc_insertion_point(class_scope:communicator_objects.UnityInput)
),
)
UnityInput = _reflection.GeneratedProtocolMessageType('UnityInput', (_message.Message,), dict(
DESCRIPTOR = _UNITYINPUT,
__module__ = 'mlagents.envs.communicator_objects.unity_input_pb2'
# @@protoc_insertion_point(class_scope:communicator_objects.UnityInput)
))
DESCRIPTOR._options = None
DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\252\002\034MLAgents.CommunicatorObjects'))
# @@protoc_insertion_point(module_scope)

8
ml-agents-envs/mlagents/envs/communicator_objects/unity_input_pb2.pyi
查看文件


# @generated by generate_proto_mypy_stubs.py. Do not edit!
import sys
from google.protobuf.descriptor import (
Descriptor as google___protobuf___descriptor___Descriptor,
)
from google.protobuf.message import (
Message as google___protobuf___message___Message,
)

class UnityInput(google___protobuf___message___Message):
DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
@property
def rl_input(self) -> mlagents___envs___communicator_objects___unity_rl_input_pb2___UnityRLInput: ...

def __init__(self,
*,
rl_input : typing___Optional[mlagents___envs___communicator_objects___unity_rl_input_pb2___UnityRLInput] = None,
rl_initialization_input : typing___Optional[mlagents___envs___communicator_objects___unity_rl_initialization_input_pb2___UnityRLInitializationInput] = None,
) -> None: ...

def ClearField(self, field_name: typing_extensions___Literal[u"rl_initialization_input",u"rl_input"]) -> None: ...
else:
def HasField(self, field_name: typing_extensions___Literal[u"rl_initialization_input",b"rl_initialization_input",u"rl_input",b"rl_input"]) -> bool: ...
def ClearField(self, field_name: typing_extensions___Literal[b"rl_initialization_input",b"rl_input"]) -> None: ...
def ClearField(self, field_name: typing_extensions___Literal[u"rl_initialization_input",b"rl_initialization_input",u"rl_input",b"rl_input"]) -> None: ...

186
ml-agents-envs/mlagents/envs/communicator_objects/unity_message_pb2.py
查看文件


# -*- coding: utf-8 -*-
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor_pb2
from mlagents.envs.communicator_objects import (
unity_output_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_unity__output__pb2,
)
from mlagents.envs.communicator_objects import (
unity_input_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_unity__input__pb2,
)
from mlagents.envs.communicator_objects import (
header_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_header__pb2,
)
from mlagents.envs.communicator_objects import unity_output_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_unity__output__pb2
from mlagents.envs.communicator_objects import unity_input_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_unity__input__pb2
from mlagents.envs.communicator_objects import header_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_header__pb2
name="mlagents/envs/communicator_objects/unity_message.proto",
package="communicator_objects",
syntax="proto3",
serialized_options=_b("\252\002\034MLAgents.CommunicatorObjects"),
serialized_pb=_b(
'\n6mlagents/envs/communicator_objects/unity_message.proto\x12\x14\x63ommunicator_objects\x1a\x35mlagents/envs/communicator_objects/unity_output.proto\x1a\x34mlagents/envs/communicator_objects/unity_input.proto\x1a/mlagents/envs/communicator_objects/header.proto"\xac\x01\n\x0cUnityMessage\x12,\n\x06header\x18\x01 \x01(\x0b\x32\x1c.communicator_objects.Header\x12\x37\n\x0cunity_output\x18\x02 \x01(\x0b\x32!.communicator_objects.UnityOutput\x12\x35\n\x0bunity_input\x18\x03 \x01(\x0b\x32 .communicator_objects.UnityInputB\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3'
),
dependencies=[
mlagents_dot_envs_dot_communicator__objects_dot_unity__output__pb2.DESCRIPTOR,
mlagents_dot_envs_dot_communicator__objects_dot_unity__input__pb2.DESCRIPTOR,
mlagents_dot_envs_dot_communicator__objects_dot_header__pb2.DESCRIPTOR,
],
)
name='mlagents/envs/communicator_objects/unity_message.proto',
package='communicator_objects',
syntax='proto3',
serialized_pb=_b('\n6mlagents/envs/communicator_objects/unity_message.proto\x12\x14\x63ommunicator_objects\x1a\x35mlagents/envs/communicator_objects/unity_output.proto\x1a\x34mlagents/envs/communicator_objects/unity_input.proto\x1a/mlagents/envs/communicator_objects/header.proto\"\xac\x01\n\x0cUnityMessage\x12,\n\x06header\x18\x01 \x01(\x0b\x32\x1c.communicator_objects.Header\x12\x37\n\x0cunity_output\x18\x02 \x01(\x0b\x32!.communicator_objects.UnityOutput\x12\x35\n\x0bunity_input\x18\x03 \x01(\x0b\x32 .communicator_objects.UnityInputB\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3')
,
dependencies=[mlagents_dot_envs_dot_communicator__objects_dot_unity__output__pb2.DESCRIPTOR,mlagents_dot_envs_dot_communicator__objects_dot_unity__input__pb2.DESCRIPTOR,mlagents_dot_envs_dot_communicator__objects_dot_header__pb2.DESCRIPTOR,])
name="UnityMessage",
full_name="communicator_objects.UnityMessage",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="header",
full_name="communicator_objects.UnityMessage.header",
index=0,
number=1,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="unity_output",
full_name="communicator_objects.UnityMessage.unity_output",
index=1,
number=2,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="unity_input",
full_name="communicator_objects.UnityMessage.unity_input",
index=2,
number=3,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=239,
serialized_end=411,
name='UnityMessage',
full_name='communicator_objects.UnityMessage',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='header', full_name='communicator_objects.UnityMessage.header', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='unity_output', full_name='communicator_objects.UnityMessage.unity_output', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='unity_input', full_name='communicator_objects.UnityMessage.unity_input', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=239,
serialized_end=411,
_UNITYMESSAGE.fields_by_name[
"header"
].message_type = mlagents_dot_envs_dot_communicator__objects_dot_header__pb2._HEADER
_UNITYMESSAGE.fields_by_name[
"unity_output"
].message_type = (
mlagents_dot_envs_dot_communicator__objects_dot_unity__output__pb2._UNITYOUTPUT
)
_UNITYMESSAGE.fields_by_name[
"unity_input"
].message_type = (
mlagents_dot_envs_dot_communicator__objects_dot_unity__input__pb2._UNITYINPUT
)
DESCRIPTOR.message_types_by_name["UnityMessage"] = _UNITYMESSAGE
_UNITYMESSAGE.fields_by_name['header'].message_type = mlagents_dot_envs_dot_communicator__objects_dot_header__pb2._HEADER
_UNITYMESSAGE.fields_by_name['unity_output'].message_type = mlagents_dot_envs_dot_communicator__objects_dot_unity__output__pb2._UNITYOUTPUT
_UNITYMESSAGE.fields_by_name['unity_input'].message_type = mlagents_dot_envs_dot_communicator__objects_dot_unity__input__pb2._UNITYINPUT
DESCRIPTOR.message_types_by_name['UnityMessage'] = _UNITYMESSAGE
UnityMessage = _reflection.GeneratedProtocolMessageType(
"UnityMessage",
(_message.Message,),
dict(
DESCRIPTOR=_UNITYMESSAGE,
__module__="mlagents.envs.communicator_objects.unity_message_pb2"
# @@protoc_insertion_point(class_scope:communicator_objects.UnityMessage)
),
)
UnityMessage = _reflection.GeneratedProtocolMessageType('UnityMessage', (_message.Message,), dict(
DESCRIPTOR = _UNITYMESSAGE,
__module__ = 'mlagents.envs.communicator_objects.unity_message_pb2'
# @@protoc_insertion_point(class_scope:communicator_objects.UnityMessage)
))
DESCRIPTOR._options = None
DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\252\002\034MLAgents.CommunicatorObjects'))
# @@protoc_insertion_point(module_scope)

8
ml-agents-envs/mlagents/envs/communicator_objects/unity_message_pb2.pyi
查看文件


# @generated by generate_proto_mypy_stubs.py. Do not edit!
import sys
from google.protobuf.descriptor import (
Descriptor as google___protobuf___descriptor___Descriptor,
)
from google.protobuf.message import (
Message as google___protobuf___message___Message,
)

class UnityMessage(google___protobuf___message___Message):
DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
@property
def header(self) -> mlagents___envs___communicator_objects___header_pb2___Header: ...

def unity_input(self) -> mlagents___envs___communicator_objects___unity_input_pb2___UnityInput: ...
def __init__(self,
*,
header : typing___Optional[mlagents___envs___communicator_objects___header_pb2___Header] = None,
unity_output : typing___Optional[mlagents___envs___communicator_objects___unity_output_pb2___UnityOutput] = None,
unity_input : typing___Optional[mlagents___envs___communicator_objects___unity_input_pb2___UnityInput] = None,

def ClearField(self, field_name: typing_extensions___Literal[u"header",u"unity_input",u"unity_output"]) -> None: ...
else:
def HasField(self, field_name: typing_extensions___Literal[u"header",b"header",u"unity_input",b"unity_input",u"unity_output",b"unity_output"]) -> bool: ...
def ClearField(self, field_name: typing_extensions___Literal[b"header",b"unity_input",b"unity_output"]) -> None: ...
def ClearField(self, field_name: typing_extensions___Literal[u"header",b"header",u"unity_input",b"unity_input",u"unity_output",b"unity_output"]) -> None: ...

152
ml-agents-envs/mlagents/envs/communicator_objects/unity_output_pb2.py
查看文件


# -*- coding: utf-8 -*-
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor_pb2
from mlagents.envs.communicator_objects import (
unity_rl_output_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_unity__rl__output__pb2,
)
from mlagents.envs.communicator_objects import (
unity_rl_initialization_output_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_unity__rl__initialization__output__pb2,
)
from mlagents.envs.communicator_objects import unity_rl_output_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_unity__rl__output__pb2
from mlagents.envs.communicator_objects import unity_rl_initialization_output_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_unity__rl__initialization__output__pb2
name="mlagents/envs/communicator_objects/unity_output.proto",
package="communicator_objects",
syntax="proto3",
serialized_options=_b("\252\002\034MLAgents.CommunicatorObjects"),
serialized_pb=_b(
'\n5mlagents/envs/communicator_objects/unity_output.proto\x12\x14\x63ommunicator_objects\x1a\x38mlagents/envs/communicator_objects/unity_rl_output.proto\x1aGmlagents/envs/communicator_objects/unity_rl_initialization_output.proto"\x9a\x01\n\x0bUnityOutput\x12\x36\n\trl_output\x18\x01 \x01(\x0b\x32#.communicator_objects.UnityRLOutput\x12S\n\x18rl_initialization_output\x18\x02 \x01(\x0b\x32\x31.communicator_objects.UnityRLInitializationOutputB\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3'
),
dependencies=[
mlagents_dot_envs_dot_communicator__objects_dot_unity__rl__output__pb2.DESCRIPTOR,
mlagents_dot_envs_dot_communicator__objects_dot_unity__rl__initialization__output__pb2.DESCRIPTOR,
],
)
name='mlagents/envs/communicator_objects/unity_output.proto',
package='communicator_objects',
syntax='proto3',
serialized_pb=_b('\n5mlagents/envs/communicator_objects/unity_output.proto\x12\x14\x63ommunicator_objects\x1a\x38mlagents/envs/communicator_objects/unity_rl_output.proto\x1aGmlagents/envs/communicator_objects/unity_rl_initialization_output.proto\"\x9a\x01\n\x0bUnityOutput\x12\x36\n\trl_output\x18\x01 \x01(\x0b\x32#.communicator_objects.UnityRLOutput\x12S\n\x18rl_initialization_output\x18\x02 \x01(\x0b\x32\x31.communicator_objects.UnityRLInitializationOutputB\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3')
,
dependencies=[mlagents_dot_envs_dot_communicator__objects_dot_unity__rl__output__pb2.DESCRIPTOR,mlagents_dot_envs_dot_communicator__objects_dot_unity__rl__initialization__output__pb2.DESCRIPTOR,])
name="UnityOutput",
full_name="communicator_objects.UnityOutput",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="rl_output",
full_name="communicator_objects.UnityOutput.rl_output",
index=0,
number=1,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="rl_initialization_output",
full_name="communicator_objects.UnityOutput.rl_initialization_output",
index=1,
number=2,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=211,
serialized_end=365,
name='UnityOutput',
full_name='communicator_objects.UnityOutput',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='rl_output', full_name='communicator_objects.UnityOutput.rl_output', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='rl_initialization_output', full_name='communicator_objects.UnityOutput.rl_initialization_output', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=211,
serialized_end=365,
_UNITYOUTPUT.fields_by_name[
"rl_output"
].message_type = (
mlagents_dot_envs_dot_communicator__objects_dot_unity__rl__output__pb2._UNITYRLOUTPUT
)
_UNITYOUTPUT.fields_by_name[
"rl_initialization_output"
].message_type = (
mlagents_dot_envs_dot_communicator__objects_dot_unity__rl__initialization__output__pb2._UNITYRLINITIALIZATIONOUTPUT
)
DESCRIPTOR.message_types_by_name["UnityOutput"] = _UNITYOUTPUT
_UNITYOUTPUT.fields_by_name['rl_output'].message_type = mlagents_dot_envs_dot_communicator__objects_dot_unity__rl__output__pb2._UNITYRLOUTPUT
_UNITYOUTPUT.fields_by_name['rl_initialization_output'].message_type = mlagents_dot_envs_dot_communicator__objects_dot_unity__rl__initialization__output__pb2._UNITYRLINITIALIZATIONOUTPUT
DESCRIPTOR.message_types_by_name['UnityOutput'] = _UNITYOUTPUT
UnityOutput = _reflection.GeneratedProtocolMessageType(
"UnityOutput",
(_message.Message,),
dict(
DESCRIPTOR=_UNITYOUTPUT,
__module__="mlagents.envs.communicator_objects.unity_output_pb2"
# @@protoc_insertion_point(class_scope:communicator_objects.UnityOutput)
),
)
UnityOutput = _reflection.GeneratedProtocolMessageType('UnityOutput', (_message.Message,), dict(
DESCRIPTOR = _UNITYOUTPUT,
__module__ = 'mlagents.envs.communicator_objects.unity_output_pb2'
# @@protoc_insertion_point(class_scope:communicator_objects.UnityOutput)
))
DESCRIPTOR._options = None
DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\252\002\034MLAgents.CommunicatorObjects'))
# @@protoc_insertion_point(module_scope)

8
ml-agents-envs/mlagents/envs/communicator_objects/unity_output_pb2.pyi
查看文件


# @generated by generate_proto_mypy_stubs.py. Do not edit!
import sys
from google.protobuf.descriptor import (
Descriptor as google___protobuf___descriptor___Descriptor,
)
from google.protobuf.message import (
Message as google___protobuf___message___Message,
)

class UnityOutput(google___protobuf___message___Message):
DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
@property
def rl_output(self) -> mlagents___envs___communicator_objects___unity_rl_output_pb2___UnityRLOutput: ...

def __init__(self,
*,
rl_output : typing___Optional[mlagents___envs___communicator_objects___unity_rl_output_pb2___UnityRLOutput] = None,
rl_initialization_output : typing___Optional[mlagents___envs___communicator_objects___unity_rl_initialization_output_pb2___UnityRLInitializationOutput] = None,
) -> None: ...

def ClearField(self, field_name: typing_extensions___Literal[u"rl_initialization_output",u"rl_output"]) -> None: ...
else:
def HasField(self, field_name: typing_extensions___Literal[u"rl_initialization_output",b"rl_initialization_output",u"rl_output",b"rl_output"]) -> bool: ...
def ClearField(self, field_name: typing_extensions___Literal[b"rl_initialization_output",b"rl_output"]) -> None: ...
def ClearField(self, field_name: typing_extensions___Literal[u"rl_initialization_output",b"rl_initialization_output",u"rl_output",b"rl_output"]) -> None: ...

104
ml-agents-envs/mlagents/envs/communicator_objects/unity_rl_initialization_input_pb2.py
查看文件


# -*- coding: utf-8 -*-
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor_pb2
name="mlagents/envs/communicator_objects/unity_rl_initialization_input.proto",
package="communicator_objects",
syntax="proto3",
serialized_options=_b("\252\002\034MLAgents.CommunicatorObjects"),
serialized_pb=_b(
'\nFmlagents/envs/communicator_objects/unity_rl_initialization_input.proto\x12\x14\x63ommunicator_objects"*\n\x1aUnityRLInitializationInput\x12\x0c\n\x04seed\x18\x01 \x01(\x05\x42\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3'
),
name='mlagents/envs/communicator_objects/unity_rl_initialization_input.proto',
package='communicator_objects',
syntax='proto3',
serialized_pb=_b('\nFmlagents/envs/communicator_objects/unity_rl_initialization_input.proto\x12\x14\x63ommunicator_objects\"*\n\x1aUnityRLInitializationInput\x12\x0c\n\x04seed\x18\x01 \x01(\x05\x42\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3')
name="UnityRLInitializationInput",
full_name="communicator_objects.UnityRLInitializationInput",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="seed",
full_name="communicator_objects.UnityRLInitializationInput.seed",
index=0,
number=1,
type=5,
cpp_type=1,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
)
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=96,
serialized_end=138,
name='UnityRLInitializationInput',
full_name='communicator_objects.UnityRLInitializationInput',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='seed', full_name='communicator_objects.UnityRLInitializationInput.seed', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=96,
serialized_end=138,
DESCRIPTOR.message_types_by_name[
"UnityRLInitializationInput"
] = _UNITYRLINITIALIZATIONINPUT
DESCRIPTOR.message_types_by_name['UnityRLInitializationInput'] = _UNITYRLINITIALIZATIONINPUT
UnityRLInitializationInput = _reflection.GeneratedProtocolMessageType(
"UnityRLInitializationInput",
(_message.Message,),
dict(
DESCRIPTOR=_UNITYRLINITIALIZATIONINPUT,
__module__="mlagents.envs.communicator_objects.unity_rl_initialization_input_pb2"
# @@protoc_insertion_point(class_scope:communicator_objects.UnityRLInitializationInput)
),
)
UnityRLInitializationInput = _reflection.GeneratedProtocolMessageType('UnityRLInitializationInput', (_message.Message,), dict(
DESCRIPTOR = _UNITYRLINITIALIZATIONINPUT,
__module__ = 'mlagents.envs.communicator_objects.unity_rl_initialization_input_pb2'
# @@protoc_insertion_point(class_scope:communicator_objects.UnityRLInitializationInput)
))
DESCRIPTOR._options = None
DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\252\002\034MLAgents.CommunicatorObjects'))
# @@protoc_insertion_point(module_scope)

8
ml-agents-envs/mlagents/envs/communicator_objects/unity_rl_initialization_input_pb2.pyi
查看文件


# @generated by generate_proto_mypy_stubs.py. Do not edit!
import sys
from google.protobuf.descriptor import (
Descriptor as google___protobuf___descriptor___Descriptor,
)
from google.protobuf.message import (
Message as google___protobuf___message___Message,
)

class UnityRLInitializationInput(google___protobuf___message___Message):
DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
*,
seed : typing___Optional[int] = None,
) -> None: ...
@classmethod

if sys.version_info >= (3,):
def ClearField(self, field_name: typing_extensions___Literal[u"seed"]) -> None: ...
else:
def ClearField(self, field_name: typing_extensions___Literal[b"seed"]) -> None: ...
def ClearField(self, field_name: typing_extensions___Literal[u"seed",b"seed"]) -> None: ...

229
ml-agents-envs/mlagents/envs/communicator_objects/unity_rl_initialization_output_pb2.py
查看文件


# -*- coding: utf-8 -*-
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor_pb2
from mlagents.envs.communicator_objects import (
brain_parameters_proto_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_brain__parameters__proto__pb2,
)
from mlagents.envs.communicator_objects import (
environment_parameters_proto_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_environment__parameters__proto__pb2,
)
from mlagents.envs.communicator_objects import brain_parameters_proto_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_brain__parameters__proto__pb2
from mlagents.envs.communicator_objects import environment_parameters_proto_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_environment__parameters__proto__pb2
name="mlagents/envs/communicator_objects/unity_rl_initialization_output.proto",
package="communicator_objects",
syntax="proto3",
serialized_options=_b("\252\002\034MLAgents.CommunicatorObjects"),
serialized_pb=_b(
'\nGmlagents/envs/communicator_objects/unity_rl_initialization_output.proto\x12\x14\x63ommunicator_objects\x1a?mlagents/envs/communicator_objects/brain_parameters_proto.proto\x1a\x45mlagents/envs/communicator_objects/environment_parameters_proto.proto"\xe6\x01\n\x1bUnityRLInitializationOutput\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x0f\n\x07version\x18\x02 \x01(\t\x12\x10\n\x08log_path\x18\x03 \x01(\t\x12\x44\n\x10\x62rain_parameters\x18\x05 \x03(\x0b\x32*.communicator_objects.BrainParametersProto\x12P\n\x16\x65nvironment_parameters\x18\x06 \x01(\x0b\x32\x30.communicator_objects.EnvironmentParametersProtoB\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3'
),
dependencies=[
mlagents_dot_envs_dot_communicator__objects_dot_brain__parameters__proto__pb2.DESCRIPTOR,
mlagents_dot_envs_dot_communicator__objects_dot_environment__parameters__proto__pb2.DESCRIPTOR,
],
)
name='mlagents/envs/communicator_objects/unity_rl_initialization_output.proto',
package='communicator_objects',
syntax='proto3',
serialized_pb=_b('\nGmlagents/envs/communicator_objects/unity_rl_initialization_output.proto\x12\x14\x63ommunicator_objects\x1a?mlagents/envs/communicator_objects/brain_parameters_proto.proto\x1a\x45mlagents/envs/communicator_objects/environment_parameters_proto.proto\"\xe6\x01\n\x1bUnityRLInitializationOutput\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x0f\n\x07version\x18\x02 \x01(\t\x12\x10\n\x08log_path\x18\x03 \x01(\t\x12\x44\n\x10\x62rain_parameters\x18\x05 \x03(\x0b\x32*.communicator_objects.BrainParametersProto\x12P\n\x16\x65nvironment_parameters\x18\x06 \x01(\x0b\x32\x30.communicator_objects.EnvironmentParametersProtoB\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3')
,
dependencies=[mlagents_dot_envs_dot_communicator__objects_dot_brain__parameters__proto__pb2.DESCRIPTOR,mlagents_dot_envs_dot_communicator__objects_dot_environment__parameters__proto__pb2.DESCRIPTOR,])
name="UnityRLInitializationOutput",
full_name="communicator_objects.UnityRLInitializationOutput",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="name",
full_name="communicator_objects.UnityRLInitializationOutput.name",
index=0,
number=1,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="version",
full_name="communicator_objects.UnityRLInitializationOutput.version",
index=1,
number=2,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="log_path",
full_name="communicator_objects.UnityRLInitializationOutput.log_path",
index=2,
number=3,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="brain_parameters",
full_name="communicator_objects.UnityRLInitializationOutput.brain_parameters",
index=3,
number=5,
type=11,
cpp_type=10,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="environment_parameters",
full_name="communicator_objects.UnityRLInitializationOutput.environment_parameters",
index=4,
number=6,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=234,
serialized_end=464,
name='UnityRLInitializationOutput',
full_name='communicator_objects.UnityRLInitializationOutput',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='name', full_name='communicator_objects.UnityRLInitializationOutput.name', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='version', full_name='communicator_objects.UnityRLInitializationOutput.version', index=1,
number=2, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='log_path', full_name='communicator_objects.UnityRLInitializationOutput.log_path', index=2,
number=3, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='brain_parameters', full_name='communicator_objects.UnityRLInitializationOutput.brain_parameters', index=3,
number=5, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='environment_parameters', full_name='communicator_objects.UnityRLInitializationOutput.environment_parameters', index=4,
number=6, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=234,
serialized_end=464,
_UNITYRLINITIALIZATIONOUTPUT.fields_by_name[
"brain_parameters"
].message_type = (
mlagents_dot_envs_dot_communicator__objects_dot_brain__parameters__proto__pb2._BRAINPARAMETERSPROTO
)
_UNITYRLINITIALIZATIONOUTPUT.fields_by_name[
"environment_parameters"
].message_type = (
mlagents_dot_envs_dot_communicator__objects_dot_environment__parameters__proto__pb2._ENVIRONMENTPARAMETERSPROTO
)
DESCRIPTOR.message_types_by_name[
"UnityRLInitializationOutput"
] = _UNITYRLINITIALIZATIONOUTPUT
_UNITYRLINITIALIZATIONOUTPUT.fields_by_name['brain_parameters'].message_type = mlagents_dot_envs_dot_communicator__objects_dot_brain__parameters__proto__pb2._BRAINPARAMETERSPROTO
_UNITYRLINITIALIZATIONOUTPUT.fields_by_name['environment_parameters'].message_type = mlagents_dot_envs_dot_communicator__objects_dot_environment__parameters__proto__pb2._ENVIRONMENTPARAMETERSPROTO
DESCRIPTOR.message_types_by_name['UnityRLInitializationOutput'] = _UNITYRLINITIALIZATIONOUTPUT
UnityRLInitializationOutput = _reflection.GeneratedProtocolMessageType(
"UnityRLInitializationOutput",
(_message.Message,),
dict(
DESCRIPTOR=_UNITYRLINITIALIZATIONOUTPUT,
__module__="mlagents.envs.communicator_objects.unity_rl_initialization_output_pb2"
# @@protoc_insertion_point(class_scope:communicator_objects.UnityRLInitializationOutput)
),
)
UnityRLInitializationOutput = _reflection.GeneratedProtocolMessageType('UnityRLInitializationOutput', (_message.Message,), dict(
DESCRIPTOR = _UNITYRLINITIALIZATIONOUTPUT,
__module__ = 'mlagents.envs.communicator_objects.unity_rl_initialization_output_pb2'
# @@protoc_insertion_point(class_scope:communicator_objects.UnityRLInitializationOutput)
))
DESCRIPTOR._options = None
DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\252\002\034MLAgents.CommunicatorObjects'))
# @@protoc_insertion_point(module_scope)

8
ml-agents-envs/mlagents/envs/communicator_objects/unity_rl_initialization_output_pb2.pyi
查看文件


# @generated by generate_proto_mypy_stubs.py. Do not edit!
import sys
from google.protobuf.descriptor import (
Descriptor as google___protobuf___descriptor___Descriptor,
)
from google.protobuf.internal.containers import (
RepeatedCompositeFieldContainer as google___protobuf___internal___containers___RepeatedCompositeFieldContainer,
)

class UnityRLInitializationOutput(google___protobuf___message___Message):
DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
name = ... # type: typing___Text
version = ... # type: typing___Text
log_path = ... # type: typing___Text

def environment_parameters(self) -> mlagents___envs___communicator_objects___environment_parameters_proto_pb2___EnvironmentParametersProto: ...
def __init__(self,
*,
name : typing___Optional[typing___Text] = None,
version : typing___Optional[typing___Text] = None,
log_path : typing___Optional[typing___Text] = None,

def ClearField(self, field_name: typing_extensions___Literal[u"brain_parameters",u"environment_parameters",u"log_path",u"name",u"version"]) -> None: ...
else:
def HasField(self, field_name: typing_extensions___Literal[u"environment_parameters",b"environment_parameters"]) -> bool: ...
def ClearField(self, field_name: typing_extensions___Literal[b"brain_parameters",b"environment_parameters",b"log_path",b"name",b"version"]) -> None: ...
def ClearField(self, field_name: typing_extensions___Literal[u"brain_parameters",b"brain_parameters",u"environment_parameters",b"environment_parameters",u"log_path",b"log_path",u"name",b"name",u"version",b"version"]) -> None: ...

405
ml-agents-envs/mlagents/envs/communicator_objects/unity_rl_input_pb2.py
查看文件


# -*- coding: utf-8 -*-
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor_pb2
from mlagents.envs.communicator_objects import (
agent_action_proto_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_agent__action__proto__pb2,
)
from mlagents.envs.communicator_objects import (
environment_parameters_proto_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_environment__parameters__proto__pb2,
)
from mlagents.envs.communicator_objects import (
command_proto_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_command__proto__pb2,
)
from mlagents.envs.communicator_objects import agent_action_proto_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_agent__action__proto__pb2
from mlagents.envs.communicator_objects import environment_parameters_proto_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_environment__parameters__proto__pb2
from mlagents.envs.communicator_objects import command_proto_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_command__proto__pb2
name="mlagents/envs/communicator_objects/unity_rl_input.proto",
package="communicator_objects",
syntax="proto3",
serialized_options=_b("\252\002\034MLAgents.CommunicatorObjects"),
serialized_pb=_b(
'\n7mlagents/envs/communicator_objects/unity_rl_input.proto\x12\x14\x63ommunicator_objects\x1a;mlagents/envs/communicator_objects/agent_action_proto.proto\x1a\x45mlagents/envs/communicator_objects/environment_parameters_proto.proto\x1a\x36mlagents/envs/communicator_objects/command_proto.proto"\xb4\x03\n\x0cUnityRLInput\x12K\n\ragent_actions\x18\x01 \x03(\x0b\x32\x34.communicator_objects.UnityRLInput.AgentActionsEntry\x12P\n\x16\x65nvironment_parameters\x18\x02 \x01(\x0b\x32\x30.communicator_objects.EnvironmentParametersProto\x12\x13\n\x0bis_training\x18\x03 \x01(\x08\x12\x33\n\x07\x63ommand\x18\x04 \x01(\x0e\x32".communicator_objects.CommandProto\x1aM\n\x14ListAgentActionProto\x12\x35\n\x05value\x18\x01 \x03(\x0b\x32&.communicator_objects.AgentActionProto\x1al\n\x11\x41gentActionsEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\x46\n\x05value\x18\x02 \x01(\x0b\x32\x37.communicator_objects.UnityRLInput.ListAgentActionProto:\x02\x38\x01\x42\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3'
),
dependencies=[
mlagents_dot_envs_dot_communicator__objects_dot_agent__action__proto__pb2.DESCRIPTOR,
mlagents_dot_envs_dot_communicator__objects_dot_environment__parameters__proto__pb2.DESCRIPTOR,
mlagents_dot_envs_dot_communicator__objects_dot_command__proto__pb2.DESCRIPTOR,
],
)
name='mlagents/envs/communicator_objects/unity_rl_input.proto',
package='communicator_objects',
syntax='proto3',
serialized_pb=_b('\n7mlagents/envs/communicator_objects/unity_rl_input.proto\x12\x14\x63ommunicator_objects\x1a;mlagents/envs/communicator_objects/agent_action_proto.proto\x1a\x45mlagents/envs/communicator_objects/environment_parameters_proto.proto\x1a\x36mlagents/envs/communicator_objects/command_proto.proto\"\xb4\x03\n\x0cUnityRLInput\x12K\n\ragent_actions\x18\x01 \x03(\x0b\x32\x34.communicator_objects.UnityRLInput.AgentActionsEntry\x12P\n\x16\x65nvironment_parameters\x18\x02 \x01(\x0b\x32\x30.communicator_objects.EnvironmentParametersProto\x12\x13\n\x0bis_training\x18\x03 \x01(\x08\x12\x33\n\x07\x63ommand\x18\x04 \x01(\x0e\x32\".communicator_objects.CommandProto\x1aM\n\x14ListAgentActionProto\x12\x35\n\x05value\x18\x01 \x03(\x0b\x32&.communicator_objects.AgentActionProto\x1al\n\x11\x41gentActionsEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\x46\n\x05value\x18\x02 \x01(\x0b\x32\x37.communicator_objects.UnityRLInput.ListAgentActionProto:\x02\x38\x01\x42\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3')
,
dependencies=[mlagents_dot_envs_dot_communicator__objects_dot_agent__action__proto__pb2.DESCRIPTOR,mlagents_dot_envs_dot_communicator__objects_dot_environment__parameters__proto__pb2.DESCRIPTOR,mlagents_dot_envs_dot_communicator__objects_dot_command__proto__pb2.DESCRIPTOR,])
name="ListAgentActionProto",
full_name="communicator_objects.UnityRLInput.ListAgentActionProto",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="value",
full_name="communicator_objects.UnityRLInput.ListAgentActionProto.value",
index=0,
number=1,
type=11,
cpp_type=10,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
)
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=519,
serialized_end=596,
name='ListAgentActionProto',
full_name='communicator_objects.UnityRLInput.ListAgentActionProto',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='value', full_name='communicator_objects.UnityRLInput.ListAgentActionProto.value', index=0,
number=1, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=519,
serialized_end=596,
name="AgentActionsEntry",
full_name="communicator_objects.UnityRLInput.AgentActionsEntry",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="key",
full_name="communicator_objects.UnityRLInput.AgentActionsEntry.key",
index=0,
number=1,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="value",
full_name="communicator_objects.UnityRLInput.AgentActionsEntry.value",
index=1,
number=2,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=_b("8\001"),
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=598,
serialized_end=706,
name='AgentActionsEntry',
full_name='communicator_objects.UnityRLInput.AgentActionsEntry',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='key', full_name='communicator_objects.UnityRLInput.AgentActionsEntry.key', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='value', full_name='communicator_objects.UnityRLInput.AgentActionsEntry.value', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=_descriptor._ParseOptions(descriptor_pb2.MessageOptions(), _b('8\001')),
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=598,
serialized_end=706,
name="UnityRLInput",
full_name="communicator_objects.UnityRLInput",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="agent_actions",
full_name="communicator_objects.UnityRLInput.agent_actions",
index=0,
number=1,
type=11,
cpp_type=10,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="environment_parameters",
full_name="communicator_objects.UnityRLInput.environment_parameters",
index=1,
number=2,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="is_training",
full_name="communicator_objects.UnityRLInput.is_training",
index=2,
number=3,
type=8,
cpp_type=7,
label=1,
has_default_value=False,
default_value=False,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="command",
full_name="communicator_objects.UnityRLInput.command",
index=3,
number=4,
type=14,
cpp_type=8,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
],
extensions=[],
nested_types=[_UNITYRLINPUT_LISTAGENTACTIONPROTO, _UNITYRLINPUT_AGENTACTIONSENTRY],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=270,
serialized_end=706,
name='UnityRLInput',
full_name='communicator_objects.UnityRLInput',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='agent_actions', full_name='communicator_objects.UnityRLInput.agent_actions', index=0,
number=1, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='environment_parameters', full_name='communicator_objects.UnityRLInput.environment_parameters', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='is_training', full_name='communicator_objects.UnityRLInput.is_training', index=2,
number=3, type=8, cpp_type=7, label=1,
has_default_value=False, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='command', full_name='communicator_objects.UnityRLInput.command', index=3,
number=4, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[_UNITYRLINPUT_LISTAGENTACTIONPROTO, _UNITYRLINPUT_AGENTACTIONSENTRY, ],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=270,
serialized_end=706,
_UNITYRLINPUT_LISTAGENTACTIONPROTO.fields_by_name[
"value"
].message_type = (
mlagents_dot_envs_dot_communicator__objects_dot_agent__action__proto__pb2._AGENTACTIONPROTO
)
_UNITYRLINPUT_LISTAGENTACTIONPROTO.fields_by_name['value'].message_type = mlagents_dot_envs_dot_communicator__objects_dot_agent__action__proto__pb2._AGENTACTIONPROTO
_UNITYRLINPUT_AGENTACTIONSENTRY.fields_by_name[
"value"
].message_type = _UNITYRLINPUT_LISTAGENTACTIONPROTO
_UNITYRLINPUT_AGENTACTIONSENTRY.fields_by_name['value'].message_type = _UNITYRLINPUT_LISTAGENTACTIONPROTO
_UNITYRLINPUT.fields_by_name[
"agent_actions"
].message_type = _UNITYRLINPUT_AGENTACTIONSENTRY
_UNITYRLINPUT.fields_by_name[
"environment_parameters"
].message_type = (
mlagents_dot_envs_dot_communicator__objects_dot_environment__parameters__proto__pb2._ENVIRONMENTPARAMETERSPROTO
)
_UNITYRLINPUT.fields_by_name[
"command"
].enum_type = (
mlagents_dot_envs_dot_communicator__objects_dot_command__proto__pb2._COMMANDPROTO
)
DESCRIPTOR.message_types_by_name["UnityRLInput"] = _UNITYRLINPUT
_UNITYRLINPUT.fields_by_name['agent_actions'].message_type = _UNITYRLINPUT_AGENTACTIONSENTRY
_UNITYRLINPUT.fields_by_name['environment_parameters'].message_type = mlagents_dot_envs_dot_communicator__objects_dot_environment__parameters__proto__pb2._ENVIRONMENTPARAMETERSPROTO
_UNITYRLINPUT.fields_by_name['command'].enum_type = mlagents_dot_envs_dot_communicator__objects_dot_command__proto__pb2._COMMANDPROTO
DESCRIPTOR.message_types_by_name['UnityRLInput'] = _UNITYRLINPUT
UnityRLInput = _reflection.GeneratedProtocolMessageType(
"UnityRLInput",
(_message.Message,),
dict(
ListAgentActionProto=_reflection.GeneratedProtocolMessageType(
"ListAgentActionProto",
(_message.Message,),
dict(
DESCRIPTOR=_UNITYRLINPUT_LISTAGENTACTIONPROTO,
__module__="mlagents.envs.communicator_objects.unity_rl_input_pb2"
# @@protoc_insertion_point(class_scope:communicator_objects.UnityRLInput.ListAgentActionProto)
),
),
AgentActionsEntry=_reflection.GeneratedProtocolMessageType(
"AgentActionsEntry",
(_message.Message,),
dict(
DESCRIPTOR=_UNITYRLINPUT_AGENTACTIONSENTRY,
__module__="mlagents.envs.communicator_objects.unity_rl_input_pb2"
# @@protoc_insertion_point(class_scope:communicator_objects.UnityRLInput.AgentActionsEntry)
),
),
DESCRIPTOR=_UNITYRLINPUT,
__module__="mlagents.envs.communicator_objects.unity_rl_input_pb2"
# @@protoc_insertion_point(class_scope:communicator_objects.UnityRLInput)
),
)
UnityRLInput = _reflection.GeneratedProtocolMessageType('UnityRLInput', (_message.Message,), dict(
ListAgentActionProto = _reflection.GeneratedProtocolMessageType('ListAgentActionProto', (_message.Message,), dict(
DESCRIPTOR = _UNITYRLINPUT_LISTAGENTACTIONPROTO,
__module__ = 'mlagents.envs.communicator_objects.unity_rl_input_pb2'
# @@protoc_insertion_point(class_scope:communicator_objects.UnityRLInput.ListAgentActionProto)
))
,
AgentActionsEntry = _reflection.GeneratedProtocolMessageType('AgentActionsEntry', (_message.Message,), dict(
DESCRIPTOR = _UNITYRLINPUT_AGENTACTIONSENTRY,
__module__ = 'mlagents.envs.communicator_objects.unity_rl_input_pb2'
# @@protoc_insertion_point(class_scope:communicator_objects.UnityRLInput.AgentActionsEntry)
))
,
DESCRIPTOR = _UNITYRLINPUT,
__module__ = 'mlagents.envs.communicator_objects.unity_rl_input_pb2'
# @@protoc_insertion_point(class_scope:communicator_objects.UnityRLInput)
))
DESCRIPTOR._options = None
_UNITYRLINPUT_AGENTACTIONSENTRY._options = None
DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\252\002\034MLAgents.CommunicatorObjects'))
_UNITYRLINPUT_AGENTACTIONSENTRY.has_options = True
_UNITYRLINPUT_AGENTACTIONSENTRY._options = _descriptor._ParseOptions(descriptor_pb2.MessageOptions(), _b('8\001'))
# @@protoc_insertion_point(module_scope)

16
ml-agents-envs/mlagents/envs/communicator_objects/unity_rl_input_pb2.pyi
查看文件


# @generated by generate_proto_mypy_stubs.py. Do not edit!
import sys
from google.protobuf.descriptor import (
Descriptor as google___protobuf___descriptor___Descriptor,
)
from google.protobuf.internal.containers import (
RepeatedCompositeFieldContainer as google___protobuf___internal___containers___RepeatedCompositeFieldContainer,
)

class UnityRLInput(google___protobuf___message___Message):
DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
*,
value : typing___Optional[typing___Iterable[mlagents___envs___communicator_objects___agent_action_proto_pb2___AgentActionProto]] = None,
) -> None: ...
@classmethod

if sys.version_info >= (3,):
def ClearField(self, field_name: typing_extensions___Literal[u"value"]) -> None: ...
else:
def ClearField(self, field_name: typing_extensions___Literal[b"value"]) -> None: ...
def ClearField(self, field_name: typing_extensions___Literal[u"value",b"value"]) -> None: ...
DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
key = ... # type: typing___Text
@property

*,
key : typing___Optional[typing___Text] = None,
value : typing___Optional[UnityRLInput.ListAgentActionProto] = None,
) -> None: ...

def ClearField(self, field_name: typing_extensions___Literal[u"key",u"value"]) -> None: ...
else:
def HasField(self, field_name: typing_extensions___Literal[u"value",b"value"]) -> bool: ...
def ClearField(self, field_name: typing_extensions___Literal[b"key",b"value"]) -> None: ...
def ClearField(self, field_name: typing_extensions___Literal[u"key",b"key",u"value",b"value"]) -> None: ...
is_training = ... # type: bool
command = ... # type: mlagents___envs___communicator_objects___command_proto_pb2___CommandProto

def environment_parameters(self) -> mlagents___envs___communicator_objects___environment_parameters_proto_pb2___EnvironmentParametersProto: ...
def __init__(self,
*,
agent_actions : typing___Optional[typing___Mapping[typing___Text, UnityRLInput.ListAgentActionProto]] = None,
environment_parameters : typing___Optional[mlagents___envs___communicator_objects___environment_parameters_proto_pb2___EnvironmentParametersProto] = None,
is_training : typing___Optional[bool] = None,

def ClearField(self, field_name: typing_extensions___Literal[u"agent_actions",u"command",u"environment_parameters",u"is_training"]) -> None: ...
else:
def HasField(self, field_name: typing_extensions___Literal[u"environment_parameters",b"environment_parameters"]) -> bool: ...
def ClearField(self, field_name: typing_extensions___Literal[b"agent_actions",b"command",b"environment_parameters",b"is_training"]) -> None: ...
def ClearField(self, field_name: typing_extensions___Literal[u"agent_actions",b"agent_actions",u"command",b"command",u"environment_parameters",b"environment_parameters",u"is_training",b"is_training"]) -> None: ...

326
ml-agents-envs/mlagents/envs/communicator_objects/unity_rl_output_pb2.py
查看文件


# -*- coding: utf-8 -*-
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor_pb2
from mlagents.envs.communicator_objects import (
agent_info_proto_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_agent__info__proto__pb2,
)
from mlagents.envs.communicator_objects import agent_info_proto_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_agent__info__proto__pb2
name="mlagents/envs/communicator_objects/unity_rl_output.proto",
package="communicator_objects",
syntax="proto3",
serialized_options=_b("\252\002\034MLAgents.CommunicatorObjects"),
serialized_pb=_b(
'\n8mlagents/envs/communicator_objects/unity_rl_output.proto\x12\x14\x63ommunicator_objects\x1a\x39mlagents/envs/communicator_objects/agent_info_proto.proto"\xa3\x02\n\rUnityRLOutput\x12\x13\n\x0bglobal_done\x18\x01 \x01(\x08\x12G\n\nagentInfos\x18\x02 \x03(\x0b\x32\x33.communicator_objects.UnityRLOutput.AgentInfosEntry\x1aI\n\x12ListAgentInfoProto\x12\x33\n\x05value\x18\x01 \x03(\x0b\x32$.communicator_objects.AgentInfoProto\x1ai\n\x0f\x41gentInfosEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\x45\n\x05value\x18\x02 \x01(\x0b\x32\x36.communicator_objects.UnityRLOutput.ListAgentInfoProto:\x02\x38\x01\x42\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3'
),
dependencies=[
mlagents_dot_envs_dot_communicator__objects_dot_agent__info__proto__pb2.DESCRIPTOR
],
)
name='mlagents/envs/communicator_objects/unity_rl_output.proto',
package='communicator_objects',
syntax='proto3',
serialized_pb=_b('\n8mlagents/envs/communicator_objects/unity_rl_output.proto\x12\x14\x63ommunicator_objects\x1a\x39mlagents/envs/communicator_objects/agent_info_proto.proto\"\x94\x02\n\rUnityRLOutput\x12G\n\nagentInfos\x18\x02 \x03(\x0b\x32\x33.communicator_objects.UnityRLOutput.AgentInfosEntry\x1aI\n\x12ListAgentInfoProto\x12\x33\n\x05value\x18\x01 \x03(\x0b\x32$.communicator_objects.AgentInfoProto\x1ai\n\x0f\x41gentInfosEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\x45\n\x05value\x18\x02 \x01(\x0b\x32\x36.communicator_objects.UnityRLOutput.ListAgentInfoProto:\x02\x38\x01J\x04\x08\x01\x10\x02\x42\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3')
,
dependencies=[mlagents_dot_envs_dot_communicator__objects_dot_agent__info__proto__pb2.DESCRIPTOR,])
name="ListAgentInfoProto",
full_name="communicator_objects.UnityRLOutput.ListAgentInfoProto",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="value",
full_name="communicator_objects.UnityRLOutput.ListAgentInfoProto.value",
index=0,
number=1,
type=11,
cpp_type=10,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
)
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=253,
serialized_end=326,
name='ListAgentInfoProto',
full_name='communicator_objects.UnityRLOutput.ListAgentInfoProto',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='value', full_name='communicator_objects.UnityRLOutput.ListAgentInfoProto.value', index=0,
number=1, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=232,
serialized_end=305,
name="AgentInfosEntry",
full_name="communicator_objects.UnityRLOutput.AgentInfosEntry",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="key",
full_name="communicator_objects.UnityRLOutput.AgentInfosEntry.key",
index=0,
number=1,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="value",
full_name="communicator_objects.UnityRLOutput.AgentInfosEntry.value",
index=1,
number=2,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=_b("8\001"),
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=328,
serialized_end=433,
name='AgentInfosEntry',
full_name='communicator_objects.UnityRLOutput.AgentInfosEntry',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='key', full_name='communicator_objects.UnityRLOutput.AgentInfosEntry.key', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='value', full_name='communicator_objects.UnityRLOutput.AgentInfosEntry.value', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=_descriptor._ParseOptions(descriptor_pb2.MessageOptions(), _b('8\001')),
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=307,
serialized_end=412,
name="UnityRLOutput",
full_name="communicator_objects.UnityRLOutput",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="global_done",
full_name="communicator_objects.UnityRLOutput.global_done",
index=0,
number=1,
type=8,
cpp_type=7,
label=1,
has_default_value=False,
default_value=False,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="agentInfos",
full_name="communicator_objects.UnityRLOutput.agentInfos",
index=1,
number=2,
type=11,
cpp_type=10,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
],
extensions=[],
nested_types=[_UNITYRLOUTPUT_LISTAGENTINFOPROTO, _UNITYRLOUTPUT_AGENTINFOSENTRY],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=142,
serialized_end=433,
name='UnityRLOutput',
full_name='communicator_objects.UnityRLOutput',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='agentInfos', full_name='communicator_objects.UnityRLOutput.agentInfos', index=0,
number=2, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[_UNITYRLOUTPUT_LISTAGENTINFOPROTO, _UNITYRLOUTPUT_AGENTINFOSENTRY, ],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=142,
serialized_end=418,
_UNITYRLOUTPUT_LISTAGENTINFOPROTO.fields_by_name[
"value"
].message_type = (
mlagents_dot_envs_dot_communicator__objects_dot_agent__info__proto__pb2._AGENTINFOPROTO
)
_UNITYRLOUTPUT_LISTAGENTINFOPROTO.fields_by_name['value'].message_type = mlagents_dot_envs_dot_communicator__objects_dot_agent__info__proto__pb2._AGENTINFOPROTO
_UNITYRLOUTPUT_AGENTINFOSENTRY.fields_by_name[
"value"
].message_type = _UNITYRLOUTPUT_LISTAGENTINFOPROTO
_UNITYRLOUTPUT_AGENTINFOSENTRY.fields_by_name['value'].message_type = _UNITYRLOUTPUT_LISTAGENTINFOPROTO
_UNITYRLOUTPUT.fields_by_name[
"agentInfos"
].message_type = _UNITYRLOUTPUT_AGENTINFOSENTRY
DESCRIPTOR.message_types_by_name["UnityRLOutput"] = _UNITYRLOUTPUT
_UNITYRLOUTPUT.fields_by_name['agentInfos'].message_type = _UNITYRLOUTPUT_AGENTINFOSENTRY
DESCRIPTOR.message_types_by_name['UnityRLOutput'] = _UNITYRLOUTPUT
UnityRLOutput = _reflection.GeneratedProtocolMessageType(
"UnityRLOutput",
(_message.Message,),
dict(
ListAgentInfoProto=_reflection.GeneratedProtocolMessageType(
"ListAgentInfoProto",
(_message.Message,),
dict(
DESCRIPTOR=_UNITYRLOUTPUT_LISTAGENTINFOPROTO,
__module__="mlagents.envs.communicator_objects.unity_rl_output_pb2"
# @@protoc_insertion_point(class_scope:communicator_objects.UnityRLOutput.ListAgentInfoProto)
),
),
AgentInfosEntry=_reflection.GeneratedProtocolMessageType(
"AgentInfosEntry",
(_message.Message,),
dict(
DESCRIPTOR=_UNITYRLOUTPUT_AGENTINFOSENTRY,
__module__="mlagents.envs.communicator_objects.unity_rl_output_pb2"
# @@protoc_insertion_point(class_scope:communicator_objects.UnityRLOutput.AgentInfosEntry)
),
),
DESCRIPTOR=_UNITYRLOUTPUT,
__module__="mlagents.envs.communicator_objects.unity_rl_output_pb2"
# @@protoc_insertion_point(class_scope:communicator_objects.UnityRLOutput)
),
)
UnityRLOutput = _reflection.GeneratedProtocolMessageType('UnityRLOutput', (_message.Message,), dict(
ListAgentInfoProto = _reflection.GeneratedProtocolMessageType('ListAgentInfoProto', (_message.Message,), dict(
DESCRIPTOR = _UNITYRLOUTPUT_LISTAGENTINFOPROTO,
__module__ = 'mlagents.envs.communicator_objects.unity_rl_output_pb2'
# @@protoc_insertion_point(class_scope:communicator_objects.UnityRLOutput.ListAgentInfoProto)
))
,
AgentInfosEntry = _reflection.GeneratedProtocolMessageType('AgentInfosEntry', (_message.Message,), dict(
DESCRIPTOR = _UNITYRLOUTPUT_AGENTINFOSENTRY,
__module__ = 'mlagents.envs.communicator_objects.unity_rl_output_pb2'
# @@protoc_insertion_point(class_scope:communicator_objects.UnityRLOutput.AgentInfosEntry)
))
,
DESCRIPTOR = _UNITYRLOUTPUT,
__module__ = 'mlagents.envs.communicator_objects.unity_rl_output_pb2'
# @@protoc_insertion_point(class_scope:communicator_objects.UnityRLOutput)
))
DESCRIPTOR._options = None
_UNITYRLOUTPUT_AGENTINFOSENTRY._options = None
DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\252\002\034MLAgents.CommunicatorObjects'))
_UNITYRLOUTPUT_AGENTINFOSENTRY.has_options = True
_UNITYRLOUTPUT_AGENTINFOSENTRY._options = _descriptor._ParseOptions(descriptor_pb2.MessageOptions(), _b('8\001'))
# @@protoc_insertion_point(module_scope)

20
ml-agents-envs/mlagents/envs/communicator_objects/unity_rl_output_pb2.pyi
查看文件


# @generated by generate_proto_mypy_stubs.py. Do not edit!
import sys
from google.protobuf.descriptor import (
Descriptor as google___protobuf___descriptor___Descriptor,
)
from google.protobuf.internal.containers import (
RepeatedCompositeFieldContainer as google___protobuf___internal___containers___RepeatedCompositeFieldContainer,
)

class UnityRLOutput(google___protobuf___message___Message):
DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
*,
value : typing___Optional[typing___Iterable[mlagents___envs___communicator_objects___agent_info_proto_pb2___AgentInfoProto]] = None,
) -> None: ...
@classmethod

if sys.version_info >= (3,):
def ClearField(self, field_name: typing_extensions___Literal[u"value"]) -> None: ...
else:
def ClearField(self, field_name: typing_extensions___Literal[b"value"]) -> None: ...
def ClearField(self, field_name: typing_extensions___Literal[u"value",b"value"]) -> None: ...
DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
key = ... # type: typing___Text
@property

*,
key : typing___Optional[typing___Text] = None,
value : typing___Optional[UnityRLOutput.ListAgentInfoProto] = None,
) -> None: ...

def ClearField(self, field_name: typing_extensions___Literal[u"key",u"value"]) -> None: ...
else:
def HasField(self, field_name: typing_extensions___Literal[u"value",b"value"]) -> bool: ...
def ClearField(self, field_name: typing_extensions___Literal[b"key",b"value"]) -> None: ...
def ClearField(self, field_name: typing_extensions___Literal[u"key",b"key",u"value",b"value"]) -> None: ...
global_done = ... # type: bool
global_done : typing___Optional[bool] = None,
*,
agentInfos : typing___Optional[typing___Mapping[typing___Text, UnityRLOutput.ListAgentInfoProto]] = None,
) -> None: ...
@classmethod

if sys.version_info >= (3,):
def ClearField(self, field_name: typing_extensions___Literal[u"agentInfos",u"global_done"]) -> None: ...
def ClearField(self, field_name: typing_extensions___Literal[u"agentInfos"]) -> None: ...
def ClearField(self, field_name: typing_extensions___Literal[b"agentInfos",b"global_done"]) -> None: ...
def ClearField(self, field_name: typing_extensions___Literal[u"agentInfos",b"agentInfos"]) -> None: ...

68
ml-agents-envs/mlagents/envs/communicator_objects/unity_to_external_pb2.py
查看文件


# -*- coding: utf-8 -*-
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor_pb2
from mlagents.envs.communicator_objects import (
unity_message_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_unity__message__pb2,
)
from mlagents.envs.communicator_objects import unity_message_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_unity__message__pb2
name="mlagents/envs/communicator_objects/unity_to_external.proto",
package="communicator_objects",
syntax="proto3",
serialized_options=_b("\252\002\034MLAgents.CommunicatorObjects"),
serialized_pb=_b(
'\n:mlagents/envs/communicator_objects/unity_to_external.proto\x12\x14\x63ommunicator_objects\x1a\x36mlagents/envs/communicator_objects/unity_message.proto2g\n\x0fUnityToExternal\x12T\n\x08\x45xchange\x12".communicator_objects.UnityMessage\x1a".communicator_objects.UnityMessage"\x00\x42\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3'
),
dependencies=[
mlagents_dot_envs_dot_communicator__objects_dot_unity__message__pb2.DESCRIPTOR
],
)
name='mlagents/envs/communicator_objects/unity_to_external.proto',
package='communicator_objects',
syntax='proto3',
serialized_pb=_b('\n:mlagents/envs/communicator_objects/unity_to_external.proto\x12\x14\x63ommunicator_objects\x1a\x36mlagents/envs/communicator_objects/unity_message.proto2g\n\x0fUnityToExternal\x12T\n\x08\x45xchange\x12\".communicator_objects.UnityMessage\x1a\".communicator_objects.UnityMessage\"\x00\x42\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3')
,
dependencies=[mlagents_dot_envs_dot_communicator__objects_dot_unity__message__pb2.DESCRIPTOR,])
DESCRIPTOR._options = None
DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\252\002\034MLAgents.CommunicatorObjects'))
name="UnityToExternal",
full_name="communicator_objects.UnityToExternal",
file=DESCRIPTOR,
name='UnityToExternal',
full_name='communicator_objects.UnityToExternal',
file=DESCRIPTOR,
index=0,
options=None,
serialized_start=140,
serialized_end=243,
methods=[
_descriptor.MethodDescriptor(
name='Exchange',
full_name='communicator_objects.UnityToExternal.Exchange',
serialized_options=None,
serialized_start=140,
serialized_end=243,
methods=[
_descriptor.MethodDescriptor(
name="Exchange",
full_name="communicator_objects.UnityToExternal.Exchange",
index=0,
containing_service=None,
input_type=mlagents_dot_envs_dot_communicator__objects_dot_unity__message__pb2._UNITYMESSAGE,
output_type=mlagents_dot_envs_dot_communicator__objects_dot_unity__message__pb2._UNITYMESSAGE,
serialized_options=None,
)
],
)
containing_service=None,
input_type=mlagents_dot_envs_dot_communicator__objects_dot_unity__message__pb2._UNITYMESSAGE,
output_type=mlagents_dot_envs_dot_communicator__objects_dot_unity__message__pb2._UNITYMESSAGE,
options=None,
),
])
DESCRIPTOR.services_by_name["UnityToExternal"] = _UNITYTOEXTERNAL
DESCRIPTOR.services_by_name['UnityToExternal'] = _UNITYTOEXTERNAL
# @@protoc_insertion_point(module_scope)

55
ml-agents-envs/mlagents/envs/communicator_objects/unity_to_external_pb2_grpc.py
查看文件


# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
import grpc
from mlagents.envs.communicator_objects import (
unity_message_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_unity__message__pb2,
)
from mlagents.envs.communicator_objects import unity_message_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_unity__message__pb2
# missing associated documentation comment in .proto file
pass
# missing associated documentation comment in .proto file
pass
def __init__(self, channel):
"""Constructor.
def __init__(self, channel):
"""Constructor.
self.Exchange = channel.unary_unary(
"/communicator_objects.UnityToExternal/Exchange",
request_serializer=mlagents_dot_envs_dot_communicator__objects_dot_unity__message__pb2.UnityMessage.SerializeToString,
response_deserializer=mlagents_dot_envs_dot_communicator__objects_dot_unity__message__pb2.UnityMessage.FromString,
self.Exchange = channel.unary_unary(
'/communicator_objects.UnityToExternal/Exchange',
request_serializer=mlagents_dot_envs_dot_communicator__objects_dot_unity__message__pb2.UnityMessage.SerializeToString,
response_deserializer=mlagents_dot_envs_dot_communicator__objects_dot_unity__message__pb2.UnityMessage.FromString,
# missing associated documentation comment in .proto file
pass
# missing associated documentation comment in .proto file
pass
def Exchange(self, request, context):
"""Sends the academy parameters
def Exchange(self, request, context):
"""Sends the academy parameters
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details("Method not implemented!")
raise NotImplementedError("Method not implemented!")
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
rpc_method_handlers = {
"Exchange": grpc.unary_unary_rpc_method_handler(
servicer.Exchange,
request_deserializer=mlagents_dot_envs_dot_communicator__objects_dot_unity__message__pb2.UnityMessage.FromString,
response_serializer=mlagents_dot_envs_dot_communicator__objects_dot_unity__message__pb2.UnityMessage.SerializeToString,
)
}
generic_handler = grpc.method_handlers_generic_handler(
"communicator_objects.UnityToExternal", rpc_method_handlers
)
server.add_generic_rpc_handlers((generic_handler,))
rpc_method_handlers = {
'Exchange': grpc.unary_unary_rpc_method_handler(
servicer.Exchange,
request_deserializer=mlagents_dot_envs_dot_communicator__objects_dot_unity__message__pb2.UnityMessage.FromString,
response_serializer=mlagents_dot_envs_dot_communicator__objects_dot_unity__message__pb2.UnityMessage.SerializeToString,
),
}
generic_handler = grpc.method_handlers_generic_handler(
'communicator_objects.UnityToExternal', rpc_method_handlers)
server.add_generic_rpc_handlers((generic_handler,))
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