Unity 机器学习代理工具包 (ML-Agents) 是一个开源项目,它使游戏和模拟能够作为训练智能代理的环境。
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// <auto-generated>
// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: mlagents/envs/communicator_objects/brain_parameters.proto
// </auto-generated>
#pragma warning disable 1591, 0612, 3021
#region Designer generated code
using pb = global::Google.Protobuf;
using pbc = global::Google.Protobuf.Collections;
using pbr = global::Google.Protobuf.Reflection;
using scg = global::System.Collections.Generic;
namespace MLAgents.CommunicatorObjects {
/// <summary>Holder for reflection information generated from mlagents/envs/communicator_objects/brain_parameters.proto</summary>
public static partial class BrainParametersReflection {
#region Descriptor
/// <summary>File descriptor for mlagents/envs/communicator_objects/brain_parameters.proto</summary>
public static pbr::FileDescriptor Descriptor {
get { return descriptor; }
}
private static pbr::FileDescriptor descriptor;
static BrainParametersReflection() {
byte[] descriptorData = global::System.Convert.FromBase64String(
string.Concat(
"CjltbGFnZW50cy9lbnZzL2NvbW11bmljYXRvcl9vYmplY3RzL2JyYWluX3Bh",
"cmFtZXRlcnMucHJvdG8SFGNvbW11bmljYXRvcl9vYmplY3RzGjNtbGFnZW50",
"cy9lbnZzL2NvbW11bmljYXRvcl9vYmplY3RzL3NwYWNlX3R5cGUucHJvdG8i",
"2QEKFEJyYWluUGFyYW1ldGVyc1Byb3RvEhoKEnZlY3Rvcl9hY3Rpb25fc2l6",
"ZRgDIAMoBRIiChp2ZWN0b3JfYWN0aW9uX2Rlc2NyaXB0aW9ucxgFIAMoCRJG",
"Chh2ZWN0b3JfYWN0aW9uX3NwYWNlX3R5cGUYBiABKA4yJC5jb21tdW5pY2F0",
"b3Jfb2JqZWN0cy5TcGFjZVR5cGVQcm90bxISCgpicmFpbl9uYW1lGAcgASgJ",
"EhMKC2lzX3RyYWluaW5nGAggASgISgQIARACSgQIAhADSgQIBBAFQh+qAhxN",
"TEFnZW50cy5Db21tdW5pY2F0b3JPYmplY3RzYgZwcm90bzM="));
descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
new pbr::FileDescriptor[] { global::MLAgents.CommunicatorObjects.SpaceTypeReflection.Descriptor, },
new pbr::GeneratedClrTypeInfo(null, new pbr::GeneratedClrTypeInfo[] {
new pbr::GeneratedClrTypeInfo(typeof(global::MLAgents.CommunicatorObjects.BrainParametersProto), global::MLAgents.CommunicatorObjects.BrainParametersProto.Parser, new[]{ "VectorActionSize", "VectorActionDescriptions", "VectorActionSpaceType", "BrainName", "IsTraining" }, null, null, null)
}));
}
#endregion
}
#region Messages
public sealed partial class BrainParametersProto : pb::IMessage<BrainParametersProto> {
private static readonly pb::MessageParser<BrainParametersProto> _parser = new pb::MessageParser<BrainParametersProto>(() => new BrainParametersProto());
private pb::UnknownFieldSet _unknownFields;
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pb::MessageParser<BrainParametersProto> Parser { get { return _parser; } }
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pbr::MessageDescriptor Descriptor {
get { return global::MLAgents.CommunicatorObjects.BrainParametersReflection.Descriptor.MessageTypes[0]; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
pbr::MessageDescriptor pb::IMessage.Descriptor {
get { return Descriptor; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public BrainParametersProto() {
OnConstruction();
}
partial void OnConstruction();
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public BrainParametersProto(BrainParametersProto other) : this() {
vectorActionSize_ = other.vectorActionSize_.Clone();
vectorActionDescriptions_ = other.vectorActionDescriptions_.Clone();
vectorActionSpaceType_ = other.vectorActionSpaceType_;
brainName_ = other.brainName_;
isTraining_ = other.isTraining_;
_unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public BrainParametersProto Clone() {
return new BrainParametersProto(this);
}
/// <summary>Field number for the "vector_action_size" field.</summary>
public const int VectorActionSizeFieldNumber = 3;
private static readonly pb::FieldCodec<int> _repeated_vectorActionSize_codec
= pb::FieldCodec.ForInt32(26);
private readonly pbc::RepeatedField<int> vectorActionSize_ = new pbc::RepeatedField<int>();
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public pbc::RepeatedField<int> VectorActionSize {
get { return vectorActionSize_; }
}
/// <summary>Field number for the "vector_action_descriptions" field.</summary>
public const int VectorActionDescriptionsFieldNumber = 5;
private static readonly pb::FieldCodec<string> _repeated_vectorActionDescriptions_codec
= pb::FieldCodec.ForString(42);
private readonly pbc::RepeatedField<string> vectorActionDescriptions_ = new pbc::RepeatedField<string>();
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public pbc::RepeatedField<string> VectorActionDescriptions {
get { return vectorActionDescriptions_; }
}
/// <summary>Field number for the "vector_action_space_type" field.</summary>
public const int VectorActionSpaceTypeFieldNumber = 6;
private global::MLAgents.CommunicatorObjects.SpaceTypeProto vectorActionSpaceType_ = 0;
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public global::MLAgents.CommunicatorObjects.SpaceTypeProto VectorActionSpaceType {
get { return vectorActionSpaceType_; }
set {
vectorActionSpaceType_ = value;
}
}
/// <summary>Field number for the "brain_name" field.</summary>
public const int BrainNameFieldNumber = 7;
private string brainName_ = "";
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public string BrainName {
get { return brainName_; }
set {
brainName_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
}
}
/// <summary>Field number for the "is_training" field.</summary>
public const int IsTrainingFieldNumber = 8;
private bool isTraining_;
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public bool IsTraining {
get { return isTraining_; }
set {
isTraining_ = value;
}
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override bool Equals(object other) {
return Equals(other as BrainParametersProto);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public bool Equals(BrainParametersProto other) {
if (ReferenceEquals(other, null)) {
return false;
}
if (ReferenceEquals(other, this)) {
return true;
}
if(!vectorActionSize_.Equals(other.vectorActionSize_)) return false;
if(!vectorActionDescriptions_.Equals(other.vectorActionDescriptions_)) return false;
if (VectorActionSpaceType != other.VectorActionSpaceType) return false;
if (BrainName != other.BrainName) return false;
if (IsTraining != other.IsTraining) return false;
return Equals(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override int GetHashCode() {
int hash = 1;
hash ^= vectorActionSize_.GetHashCode();
hash ^= vectorActionDescriptions_.GetHashCode();
if (VectorActionSpaceType != 0) hash ^= VectorActionSpaceType.GetHashCode();
if (BrainName.Length != 0) hash ^= BrainName.GetHashCode();
if (IsTraining != false) hash ^= IsTraining.GetHashCode();
if (_unknownFields != null) {
hash ^= _unknownFields.GetHashCode();
}
return hash;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override string ToString() {
return pb::JsonFormatter.ToDiagnosticString(this);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void WriteTo(pb::CodedOutputStream output) {
vectorActionSize_.WriteTo(output, _repeated_vectorActionSize_codec);
vectorActionDescriptions_.WriteTo(output, _repeated_vectorActionDescriptions_codec);
if (VectorActionSpaceType != 0) {
output.WriteRawTag(48);
output.WriteEnum((int) VectorActionSpaceType);
}
if (BrainName.Length != 0) {
output.WriteRawTag(58);
output.WriteString(BrainName);
}
if (IsTraining != false) {
output.WriteRawTag(64);
output.WriteBool(IsTraining);
}
if (_unknownFields != null) {
_unknownFields.WriteTo(output);
}
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public int CalculateSize() {
int size = 0;
size += vectorActionSize_.CalculateSize(_repeated_vectorActionSize_codec);
size += vectorActionDescriptions_.CalculateSize(_repeated_vectorActionDescriptions_codec);
if (VectorActionSpaceType != 0) {
size += 1 + pb::CodedOutputStream.ComputeEnumSize((int) VectorActionSpaceType);
}
if (BrainName.Length != 0) {
size += 1 + pb::CodedOutputStream.ComputeStringSize(BrainName);
}
if (IsTraining != false) {
size += 1 + 1;
}
if (_unknownFields != null) {
size += _unknownFields.CalculateSize();
}
return size;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(BrainParametersProto other) {
if (other == null) {
return;
}
vectorActionSize_.Add(other.vectorActionSize_);
vectorActionDescriptions_.Add(other.vectorActionDescriptions_);
if (other.VectorActionSpaceType != 0) {
VectorActionSpaceType = other.VectorActionSpaceType;
}
if (other.BrainName.Length != 0) {
BrainName = other.BrainName;
}
if (other.IsTraining != false) {
IsTraining = other.IsTraining;
}
_unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(pb::CodedInputStream input) {
uint tag;
while ((tag = input.ReadTag()) != 0) {
switch(tag) {
default:
_unknownFields = pb::UnknownFieldSet.MergeFieldFrom(_unknownFields, input);
break;
case 26:
case 24: {
vectorActionSize_.AddEntriesFrom(input, _repeated_vectorActionSize_codec);
break;
}
case 42: {
vectorActionDescriptions_.AddEntriesFrom(input, _repeated_vectorActionDescriptions_codec);
break;
}
case 48: {
vectorActionSpaceType_ = (global::MLAgents.CommunicatorObjects.SpaceTypeProto) input.ReadEnum();
break;
}
case 58: {
BrainName = input.ReadString();
break;
}
case 64: {
IsTraining = input.ReadBool();
break;
}
}
}
}
}
#endregion
}
#endregion Designer generated code