TensorFlow.NET/src/TensorFlowNET.Core/Protobuf/Config.cs

// <auto-generated>
//     Generated by the protocol buffer compiler.  DO NOT EDIT!
//     source: tensorflow/core/protobuf/config.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 Tensorflow {

  /// <summary>Holder for reflection information generated from tensorflow/core/protobuf/config.proto</summary>
  public static partial class ConfigReflection {

    #region Descriptor
    /// <summary>File descriptor for tensorflow/core/protobuf/config.proto</summary>
    public static pbr::FileDescriptor Descriptor {
      get { return descriptor; }
    }
    private static pbr::FileDescriptor descriptor;

    static ConfigReflection() {
      byte[] descriptorData = global::System.Convert.FromBase64String(
          string.Concat(
            "CiV0ZW5zb3JmbG93L2NvcmUvcHJvdG9idWYvY29uZmlnLnByb3RvEgp0ZW5z",
            "b3JmbG93Gip0ZW5zb3JmbG93L2NvcmUvZnJhbWV3b3JrL2Nvc3RfZ3JhcGgu",
            "cHJvdG8aJXRlbnNvcmZsb3cvY29yZS9mcmFtZXdvcmsvZ3JhcGgucHJvdG8a",
            "KnRlbnNvcmZsb3cvY29yZS9mcmFtZXdvcmsvc3RlcF9zdGF0cy5wcm90bxom",
            "dGVuc29yZmxvdy9jb3JlL3Byb3RvYnVmL2NsdXN0ZXIucHJvdG8aJHRlbnNv",
            "cmZsb3cvY29yZS9wcm90b2J1Zi9kZWJ1Zy5wcm90bxoudGVuc29yZmxvdy9j",
            "b3JlL3Byb3RvYnVmL3Jld3JpdGVyX2NvbmZpZy5wcm90byK3BQoKR1BVT3B0",
            "aW9ucxInCh9wZXJfcHJvY2Vzc19ncHVfbWVtb3J5X2ZyYWN0aW9uGAEgASgB",
            "EhQKDGFsbG93X2dyb3d0aBgEIAEoCBIWCg5hbGxvY2F0b3JfdHlwZRgCIAEo",
            "CRIfChdkZWZlcnJlZF9kZWxldGlvbl9ieXRlcxgDIAEoAxIbChN2aXNpYmxl",
            "X2RldmljZV9saXN0GAUgASgJEiIKGnBvbGxpbmdfYWN0aXZlX2RlbGF5X3Vz",
            "ZWNzGAYgASgFEiQKHHBvbGxpbmdfaW5hY3RpdmVfZGVsYXlfbXNlY3MYByAB",
            "KAUSHAoUZm9yY2VfZ3B1X2NvbXBhdGlibGUYCCABKAgSOQoMZXhwZXJpbWVu",
            "dGFsGAkgASgLMiMudGVuc29yZmxvdy5HUFVPcHRpb25zLkV4cGVyaW1lbnRh",
            "bBrwAgoMRXhwZXJpbWVudGFsEksKD3ZpcnR1YWxfZGV2aWNlcxgBIAMoCzIy",
            "LnRlbnNvcmZsb3cuR1BVT3B0aW9ucy5FeHBlcmltZW50YWwuVmlydHVhbERl",
            "dmljZXMSGgoSdXNlX3VuaWZpZWRfbWVtb3J5GAIgASgIEiMKG251bV9kZXZf",
            "dG9fZGV2X2NvcHlfc3RyZWFtcxgDIAEoBRIdChVjb2xsZWN0aXZlX3Jpbmdf",
            "b3JkZXIYBCABKAkSHQoVdGltZXN0YW1wZWRfYWxsb2NhdG9yGAUgASgIEiMK",
            "G2tlcm5lbF90cmFja2VyX21heF9pbnRlcnZhbBgHIAEoBRIgChhrZXJuZWxf",
            "dHJhY2tlcl9tYXhfYnl0ZXMYCCABKAUSIgoaa2VybmVsX3RyYWNrZXJfbWF4",
            "X3BlbmRpbmcYCSABKAUaKQoOVmlydHVhbERldmljZXMSFwoPbWVtb3J5X2xp",
            "bWl0X21iGAEgAygCIoUDChBPcHRpbWl6ZXJPcHRpb25zEisKI2RvX2NvbW1v",
            "bl9zdWJleHByZXNzaW9uX2VsaW1pbmF0aW9uGAEgASgIEhsKE2RvX2NvbnN0",
            "YW50X2ZvbGRpbmcYAiABKAgSJAocbWF4X2ZvbGRlZF9jb25zdGFudF9pbl9i",
            "eXRlcxgGIAEoAxIcChRkb19mdW5jdGlvbl9pbmxpbmluZxgEIAEoCBI1Cglv",
            "cHRfbGV2ZWwYAyABKA4yIi50ZW5zb3JmbG93Lk9wdGltaXplck9wdGlvbnMu",
            "TGV2ZWwSRQoQZ2xvYmFsX2ppdF9sZXZlbBgFIAEoDjIrLnRlbnNvcmZsb3cu",
            "T3B0aW1pemVyT3B0aW9ucy5HbG9iYWxKaXRMZXZlbCIgCgVMZXZlbBIGCgJM",
            "MRAAEg8KAkwwEP///////////wEiQwoOR2xvYmFsSml0TGV2ZWwSCwoHREVG",
            "QVVMVBAAEhAKA09GRhD///////////8BEggKBE9OXzEQARIICgRPTl8yEAIi",
            "7gIKDEdyYXBoT3B0aW9ucxIeChZlbmFibGVfcmVjdl9zY2hlZHVsaW5nGAIg",
            "ASgIEjcKEW9wdGltaXplcl9vcHRpb25zGAMgASgLMhwudGVuc29yZmxvdy5P",
            "cHRpbWl6ZXJPcHRpb25zEhgKEGJ1aWxkX2Nvc3RfbW9kZWwYBCABKAMSHgoW",
            "YnVpbGRfY29zdF9tb2RlbF9hZnRlchgJIAEoAxIUCgxpbmZlcl9zaGFwZXMY",
            "BSABKAgSGgoScGxhY2VfcHJ1bmVkX2dyYXBoGAYgASgIEiAKGGVuYWJsZV9i",
            "ZmxvYXQxNl9zZW5kcmVjdhgHIAEoCBIVCg10aW1lbGluZV9zdGVwGAggASgF",
            "EjMKD3Jld3JpdGVfb3B0aW9ucxgKIAEoCzIaLnRlbnNvcmZsb3cuUmV3cml0",
            "ZXJDb25maWdKBAgBEAJSJXNraXBfY29tbW9uX3N1YmV4cHJlc3Npb25fZWxp",
            "bWluYXRpb24iQQoVVGhyZWFkUG9vbE9wdGlvblByb3RvEhMKC251bV90aHJl",
            "YWRzGAEgASgFEhMKC2dsb2JhbF9uYW1lGAIgASgJImwKClJQQ09wdGlvbnMS",
            "JAocdXNlX3JwY19mb3JfaW5wcm9jZXNzX21hc3RlchgBIAEoCBIdChVjb21w",
            "cmVzc2lvbl9hbGdvcml0aG0YAiABKAkSGQoRY29tcHJlc3Npb25fbGV2ZWwY",
            "AyABKAUisggKC0NvbmZpZ1Byb3RvEj4KDGRldmljZV9jb3VudBgBIAMoCzIo",
            "LnRlbnNvcmZsb3cuQ29uZmlnUHJvdG8uRGV2aWNlQ291bnRFbnRyeRIkChxp",
            "bnRyYV9vcF9wYXJhbGxlbGlzbV90aHJlYWRzGAIgASgFEiQKHGludGVyX29w",
            "X3BhcmFsbGVsaXNtX3RocmVhZHMYBSABKAUSHwoXdXNlX3Blcl9zZXNzaW9u",
            "X3RocmVhZHMYCSABKAgSRwocc2Vzc2lvbl9pbnRlcl9vcF90aHJlYWRfcG9v",
            "bBgMIAMoCzIhLnRlbnNvcmZsb3cuVGhyZWFkUG9vbE9wdGlvblByb3RvEhgK",
            "EHBsYWNlbWVudF9wZXJpb2QYAyABKAUSFgoOZGV2aWNlX2ZpbHRlcnMYBCAD",
            "KAkSKwoLZ3B1X29wdGlvbnMYBiABKAsyFi50ZW5zb3JmbG93LkdQVU9wdGlv",
            "bnMSHAoUYWxsb3dfc29mdF9wbGFjZW1lbnQYByABKAgSHAoUbG9nX2Rldmlj",
            "ZV9wbGFjZW1lbnQYCCABKAgSLwoNZ3JhcGhfb3B0aW9ucxgKIAEoCzIYLnRl",
            "bnNvcmZsb3cuR3JhcGhPcHRpb25zEh8KF29wZXJhdGlvbl90aW1lb3V0X2lu",
            "X21zGAsgASgDEisKC3JwY19vcHRpb25zGA0gASgLMhYudGVuc29yZmxvdy5S",
            "UENPcHRpb25zEisKC2NsdXN0ZXJfZGVmGA4gASgLMhYudGVuc29yZmxvdy5D",
            "bHVzdGVyRGVmEh0KFWlzb2xhdGVfc2Vzc2lvbl9zdGF0ZRgPIAEoCBI6Cgxl",
            "eHBlcmltZW50YWwYECABKAsyJC50ZW5zb3JmbG93LkNvbmZpZ1Byb3RvLkV4",
            "cGVyaW1lbnRhbBoyChBEZXZpY2VDb3VudEVudHJ5EgsKA2tleRgBIAEoCRIN",
            "CgV2YWx1ZRgCIAEoBToCOAEa1gIKDEV4cGVyaW1lbnRhbBIfChdjb2xsZWN0",
            "aXZlX2dyb3VwX2xlYWRlchgBIAEoCRIVCg1leGVjdXRvcl90eXBlGAMgASgJ",
            "EhoKEnJlY3ZfYnVmX21heF9jaHVuaxgEIAEoBRIZChF1c2VfbnVtYV9hZmZp",
            "bml0eRgFIAEoCBI1Ci1jb2xsZWN0aXZlX2RldGVybWluaXN0aWNfc2VxdWVu",
            "dGlhbF9leGVjdXRpb24YBiABKAgSFwoPY29sbGVjdGl2ZV9uY2NsGAcgASgI",
            "EjYKLnNoYXJlX3Nlc3Npb25fc3RhdGVfaW5fY2x1c3RlcnNwZWNfcHJvcGFn",
            "YXRpb24YCCABKAgSHwoXZGlzYWJsZV90aHJlYWRfc3Bpbm5pbmcYCSABKAgS",
            "KAogc2hhcmVfY2x1c3Rlcl9kZXZpY2VzX2luX3Nlc3Npb24YCiABKAhKBAgC",
            "EAMi2AMKClJ1bk9wdGlvbnMSNgoLdHJhY2VfbGV2ZWwYASABKA4yIS50ZW5z",
            "b3JmbG93LlJ1bk9wdGlvbnMuVHJhY2VMZXZlbBIVCg10aW1lb3V0X2luX21z",
            "GAIgASgDEhwKFGludGVyX29wX3RocmVhZF9wb29sGAMgASgFEh8KF291dHB1",
            "dF9wYXJ0aXRpb25fZ3JhcGhzGAUgASgIEi8KDWRlYnVnX29wdGlvbnMYBiAB",
            "KAsyGC50ZW5zb3JmbG93LkRlYnVnT3B0aW9ucxIqCiJyZXBvcnRfdGVuc29y",
            "X2FsbG9jYXRpb25zX3Vwb25fb29tGAcgASgIEjkKDGV4cGVyaW1lbnRhbBgI",
            "IAEoCzIjLnRlbnNvcmZsb3cuUnVuT3B0aW9ucy5FeHBlcmltZW50YWwaSgoM",
            "RXhwZXJpbWVudGFsEhwKFGNvbGxlY3RpdmVfZ3JhcGhfa2V5GAEgASgDEhwK",
            "FHVzZV9ydW5faGFuZGxlcl9wb29sGAIgASgIIlIKClRyYWNlTGV2ZWwSDAoI",
            "Tk9fVFJBQ0UQABISCg5TT0ZUV0FSRV9UUkFDRRABEhIKDkhBUkRXQVJFX1RS",
            "QUNFEAISDgoKRlVMTF9UUkFDRRADSgQIBBAFIocDCgtSdW5NZXRhZGF0YRIp",
            "CgpzdGVwX3N0YXRzGAEgASgLMhUudGVuc29yZmxvdy5TdGVwU3RhdHMSLAoK",
            "Y29zdF9ncmFwaBgCIAEoCzIYLnRlbnNvcmZsb3cuQ29zdEdyYXBoRGVmEi4K",
            "EHBhcnRpdGlvbl9ncmFwaHMYAyADKAsyFC50ZW5zb3JmbG93LkdyYXBoRGVm",
            "Ej8KD2Z1bmN0aW9uX2dyYXBocxgEIAMoCzImLnRlbnNvcmZsb3cuUnVuTWV0",
            "YWRhdGEuRnVuY3Rpb25HcmFwaHMarQEKDkZ1bmN0aW9uR3JhcGhzEi4KEHBh",
            "cnRpdGlvbl9ncmFwaHMYASADKAsyFC50ZW5zb3JmbG93LkdyYXBoRGVmEjQK",
            "FnByZV9vcHRpbWl6YXRpb25fZ3JhcGgYAiABKAsyFC50ZW5zb3JmbG93Lkdy",
            "YXBoRGVmEjUKF3Bvc3Rfb3B0aW1pemF0aW9uX2dyYXBoGAMgASgLMhQudGVu",
            "c29yZmxvdy5HcmFwaERlZiI6ChBUZW5zb3JDb25uZWN0aW9uEhMKC2Zyb21f",
            "dGVuc29yGAEgASgJEhEKCXRvX3RlbnNvchgCIAEoCSKwAwoPQ2FsbGFibGVP",
            "cHRpb25zEgwKBGZlZWQYASADKAkSDQoFZmV0Y2gYAiADKAkSDgoGdGFyZ2V0",
            "GAMgAygJEisKC3J1bl9vcHRpb25zGAQgASgLMhYudGVuc29yZmxvdy5SdW5P",
            "cHRpb25zEjcKEXRlbnNvcl9jb25uZWN0aW9uGAUgAygLMhwudGVuc29yZmxv",
            "dy5UZW5zb3JDb25uZWN0aW9uEkIKDGZlZWRfZGV2aWNlcxgGIAMoCzIsLnRl",
            "bnNvcmZsb3cuQ2FsbGFibGVPcHRpb25zLkZlZWREZXZpY2VzRW50cnkSRAoN",
            "ZmV0Y2hfZGV2aWNlcxgHIAMoCzItLnRlbnNvcmZsb3cuQ2FsbGFibGVPcHRp",
            "b25zLkZldGNoRGV2aWNlc0VudHJ5EhcKD2ZldGNoX3NraXBfc3luYxgIIAEo",
            "CBoyChBGZWVkRGV2aWNlc0VudHJ5EgsKA2tleRgBIAEoCRINCgV2YWx1ZRgC",
            "IAEoCToCOAEaMwoRRmV0Y2hEZXZpY2VzRW50cnkSCwoDa2V5GAEgASgJEg0K",
            "BXZhbHVlGAIgASgJOgI4AUItChhvcmcudGVuc29yZmxvdy5mcmFtZXdvcmtC",
            "DENvbmZpZ1Byb3Rvc1AB+AEBYgZwcm90bzM="));
      descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
          new pbr::FileDescriptor[] { global::Tensorflow.CostGraphReflection.Descriptor, global::Tensorflow.GraphReflection.Descriptor, global::Tensorflow.StepStatsReflection.Descriptor, global::Tensorflow.ClusterReflection.Descriptor, global::Tensorflow.DebugReflection.Descriptor, global::Tensorflow.RewriterConfigReflection.Descriptor, },
          new pbr::GeneratedClrTypeInfo(null, new pbr::GeneratedClrTypeInfo[] {
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.GPUOptions), global::Tensorflow.GPUOptions.Parser, new[]{ "PerProcessGpuMemoryFraction", "AllowGrowth", "AllocatorType", "DeferredDeletionBytes", "VisibleDeviceList", "PollingActiveDelayUsecs", "PollingInactiveDelayMsecs", "ForceGpuCompatible", "Experimental" }, null, null, new pbr::GeneratedClrTypeInfo[] { new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.GPUOptions.Types.Experimental), global::Tensorflow.GPUOptions.Types.Experimental.Parser, new[]{ "VirtualDevices", "UseUnifiedMemory", "NumDevToDevCopyStreams", "CollectiveRingOrder", "TimestampedAllocator", "KernelTrackerMaxInterval", "KernelTrackerMaxBytes", "KernelTrackerMaxPending" }, null, null, new pbr::GeneratedClrTypeInfo[] { new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.GPUOptions.Types.Experimental.Types.VirtualDevices), global::Tensorflow.GPUOptions.Types.Experimental.Types.VirtualDevices.Parser, new[]{ "MemoryLimitMb" }, null, null, null)})}),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.OptimizerOptions), global::Tensorflow.OptimizerOptions.Parser, new[]{ "DoCommonSubexpressionElimination", "DoConstantFolding", "MaxFoldedConstantInBytes", "DoFunctionInlining", "OptLevel", "GlobalJitLevel" }, null, new[]{ typeof(global::Tensorflow.OptimizerOptions.Types.Level), typeof(global::Tensorflow.OptimizerOptions.Types.GlobalJitLevel) }, null),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.GraphOptions), global::Tensorflow.GraphOptions.Parser, new[]{ "EnableRecvScheduling", "OptimizerOptions", "BuildCostModel", "BuildCostModelAfter", "InferShapes", "PlacePrunedGraph", "EnableBfloat16Sendrecv", "TimelineStep", "RewriteOptions" }, null, null, null),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.ThreadPoolOptionProto), global::Tensorflow.ThreadPoolOptionProto.Parser, new[]{ "NumThreads", "GlobalName" }, null, null, null),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.RPCOptions), global::Tensorflow.RPCOptions.Parser, new[]{ "UseRpcForInprocessMaster", "CompressionAlgorithm", "CompressionLevel" }, null, null, null),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.ConfigProto), global::Tensorflow.ConfigProto.Parser, new[]{ "DeviceCount", "IntraOpParallelismThreads", "InterOpParallelismThreads", "UsePerSessionThreads", "SessionInterOpThreadPool", "PlacementPeriod", "DeviceFilters", "GpuOptions", "AllowSoftPlacement", "LogDevicePlacement", "GraphOptions", "OperationTimeoutInMs", "RpcOptions", "ClusterDef", "IsolateSessionState", "Experimental" }, null, null, new pbr::GeneratedClrTypeInfo[] { null, new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.ConfigProto.Types.Experimental), global::Tensorflow.ConfigProto.Types.Experimental.Parser, new[]{ "CollectiveGroupLeader", "ExecutorType", "RecvBufMaxChunk", "UseNumaAffinity", "CollectiveDeterministicSequentialExecution", "CollectiveNccl", "ShareSessionStateInClusterspecPropagation", "DisableThreadSpinning", "ShareClusterDevicesInSession" }, null, null, null)}),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.RunOptions), global::Tensorflow.RunOptions.Parser, new[]{ "TraceLevel", "TimeoutInMs", "InterOpThreadPool", "OutputPartitionGraphs", "DebugOptions", "ReportTensorAllocationsUponOom", "Experimental" }, null, new[]{ typeof(global::Tensorflow.RunOptions.Types.TraceLevel) }, new pbr::GeneratedClrTypeInfo[] { new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.RunOptions.Types.Experimental), global::Tensorflow.RunOptions.Types.Experimental.Parser, new[]{ "CollectiveGraphKey", "UseRunHandlerPool" }, null, null, null)}),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.RunMetadata), global::Tensorflow.RunMetadata.Parser, new[]{ "StepStats", "CostGraph", "PartitionGraphs", "FunctionGraphs" }, null, null, new pbr::GeneratedClrTypeInfo[] { new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.RunMetadata.Types.FunctionGraphs), global::Tensorflow.RunMetadata.Types.FunctionGraphs.Parser, new[]{ "PartitionGraphs", "PreOptimizationGraph", "PostOptimizationGraph" }, null, null, null)}),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.TensorConnection), global::Tensorflow.TensorConnection.Parser, new[]{ "FromTensor", "ToTensor" }, null, null, null),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.CallableOptions), global::Tensorflow.CallableOptions.Parser, new[]{ "Feed", "Fetch", "Target", "RunOptions", "TensorConnection", "FeedDevices", "FetchDevices", "FetchSkipSync" }, null, null, new pbr::GeneratedClrTypeInfo[] { null, null, })
          }));
    }
    #endregion

  }
  #region Messages
  public sealed partial class GPUOptions : pb::IMessage<GPUOptions> {
    private static readonly pb::MessageParser<GPUOptions> _parser = new pb::MessageParser<GPUOptions>(() => new GPUOptions());
    private pb::UnknownFieldSet _unknownFields;
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public static pb::MessageParser<GPUOptions> Parser { get { return _parser; } }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public static pbr::MessageDescriptor Descriptor {
      get { return global::Tensorflow.ConfigReflection.Descriptor.MessageTypes[0]; }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    pbr::MessageDescriptor pb::IMessage.Descriptor {
      get { return Descriptor; }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public GPUOptions() {
      OnConstruction();
    }

    partial void OnConstruction();

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public GPUOptions(GPUOptions other) : this() {
      perProcessGpuMemoryFraction_ = other.perProcessGpuMemoryFraction_;
      allowGrowth_ = other.allowGrowth_;
      allocatorType_ = other.allocatorType_;
      deferredDeletionBytes_ = other.deferredDeletionBytes_;
      visibleDeviceList_ = other.visibleDeviceList_;
      pollingActiveDelayUsecs_ = other.pollingActiveDelayUsecs_;
      pollingInactiveDelayMsecs_ = other.pollingInactiveDelayMsecs_;
      forceGpuCompatible_ = other.forceGpuCompatible_;
      experimental_ = other.experimental_ != null ? other.experimental_.Clone() : null;
      _unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public GPUOptions Clone() {
      return new GPUOptions(this);
    }

    /// <summary>Field number for the "per_process_gpu_memory_fraction" field.</summary>
    public const int PerProcessGpuMemoryFractionFieldNumber = 1;
    private double perProcessGpuMemoryFraction_;
    /// <summary>
    /// Fraction of the available GPU memory to allocate for each process.
    /// 1 means to allocate all of the GPU memory, 0.5 means the process
    /// allocates up to ~50% of the available GPU memory.
    ///
    /// GPU memory is pre-allocated unless the allow_growth option is enabled.
    ///
    /// If greater than 1.0, uses CUDA unified memory to potentially oversubscribe
    /// the amount of memory available on the GPU device by using host memory as a
    /// swap space. Accessing memory not available on the device will be
    /// significantly slower as that would require memory transfer between the host
    /// and the device. Options to reduce the memory requirement should be
    /// considered before enabling this option as this may come with a negative
    /// performance impact. Oversubscription using the unified memory requires
    /// Pascal class or newer GPUs and it is currently only supported on the Linux
    /// operating system. See
    /// https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#um-requirements
    /// for the detailed requirements.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public double PerProcessGpuMemoryFraction {
      get { return perProcessGpuMemoryFraction_; }
      set {
        perProcessGpuMemoryFraction_ = value;
      }
    }

    /// <summary>Field number for the "allow_growth" field.</summary>
    public const int AllowGrowthFieldNumber = 4;
    private bool allowGrowth_;
    /// <summary>
    /// If true, the allocator does not pre-allocate the entire specified
    /// GPU memory region, instead starting small and growing as needed.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public bool AllowGrowth {
      get { return allowGrowth_; }
      set {
        allowGrowth_ = value;
      }
    }

    /// <summary>Field number for the "allocator_type" field.</summary>
    public const int AllocatorTypeFieldNumber = 2;
    private string allocatorType_ = "";
    /// <summary>
    /// The type of GPU allocation strategy to use.
    ///
    /// Allowed values:
    /// "": The empty string (default) uses a system-chosen default
    ///     which may change over time.
    ///
    /// "BFC": A "Best-fit with coalescing" algorithm, simplified from a
    ///        version of dlmalloc.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public string AllocatorType {
      get { return allocatorType_; }
      set {
        allocatorType_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
      }
    }

    /// <summary>Field number for the "deferred_deletion_bytes" field.</summary>
    public const int DeferredDeletionBytesFieldNumber = 3;
    private long deferredDeletionBytes_;
    /// <summary>
    /// Delay deletion of up to this many bytes to reduce the number of
    /// interactions with gpu driver code.  If 0, the system chooses
    /// a reasonable default (several MBs).
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public long DeferredDeletionBytes {
      get { return deferredDeletionBytes_; }
      set {
        deferredDeletionBytes_ = value;
      }
    }

    /// <summary>Field number for the "visible_device_list" field.</summary>
    public const int VisibleDeviceListFieldNumber = 5;
    private string visibleDeviceList_ = "";
    /// <summary>
    /// A comma-separated list of GPU ids that determines the 'visible'
    /// to 'virtual' mapping of GPU devices.  For example, if TensorFlow
    /// can see 8 GPU devices in the process, and one wanted to map
    /// visible GPU devices 5 and 3 as "/device:GPU:0", and "/device:GPU:1",
    /// then one would specify this field as "5,3".  This field is similar in
    /// spirit to the CUDA_VISIBLE_DEVICES environment variable, except
    /// it applies to the visible GPU devices in the process.
    ///
    /// NOTE:
    /// 1. The GPU driver provides the process with the visible GPUs
    ///    in an order which is not guaranteed to have any correlation to
    ///    the *physical* GPU id in the machine.  This field is used for
    ///    remapping "visible" to "virtual", which means this operates only
    ///    after the process starts.  Users are required to use vendor
    ///    specific mechanisms (e.g., CUDA_VISIBLE_DEVICES) to control the
    ///    physical to visible device mapping prior to invoking TensorFlow.
    /// 2. In the code, the ids in this list are also called "platform GPU id"s,
    ///    and the 'virtual' ids of GPU devices (i.e. the ids in the device
    ///    name "/device:GPU:&lt;id>") are also called "TF GPU id"s. Please
    ///    refer to third_party/tensorflow/core/common_runtime/gpu/gpu_id.h
    ///    for more information.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public string VisibleDeviceList {
      get { return visibleDeviceList_; }
      set {
        visibleDeviceList_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
      }
    }

    /// <summary>Field number for the "polling_active_delay_usecs" field.</summary>
    public const int PollingActiveDelayUsecsFieldNumber = 6;
    private int pollingActiveDelayUsecs_;
    /// <summary>
    /// In the event polling loop sleep this many microseconds between
    /// PollEvents calls, when the queue is not empty.  If value is not
    /// set or set to 0, gets set to a non-zero default.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public int PollingActiveDelayUsecs {
      get { return pollingActiveDelayUsecs_; }
      set {
        pollingActiveDelayUsecs_ = value;
      }
    }

    /// <summary>Field number for the "polling_inactive_delay_msecs" field.</summary>
    public const int PollingInactiveDelayMsecsFieldNumber = 7;
    private int pollingInactiveDelayMsecs_;
    /// <summary>
    /// This field is deprecated and ignored.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public int PollingInactiveDelayMsecs {
      get { return pollingInactiveDelayMsecs_; }
      set {
        pollingInactiveDelayMsecs_ = value;
      }
    }

    /// <summary>Field number for the "force_gpu_compatible" field.</summary>
    public const int ForceGpuCompatibleFieldNumber = 8;
    private bool forceGpuCompatible_;
    /// <summary>
    /// Force all tensors to be gpu_compatible. On a GPU-enabled TensorFlow,
    /// enabling this option forces all CPU tensors to be allocated with Cuda
    /// pinned memory. Normally, TensorFlow will infer which tensors should be
    /// allocated as the pinned memory. But in case where the inference is
    /// incomplete, this option can significantly speed up the cross-device memory
    /// copy performance as long as it fits the memory.
    /// Note that this option is not something that should be
    /// enabled by default for unknown or very large models, since all Cuda pinned
    /// memory is unpageable, having too much pinned memory might negatively impact
    /// the overall host system performance.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public bool ForceGpuCompatible {
      get { return forceGpuCompatible_; }
      set {
        forceGpuCompatible_ = value;
      }
    }

    /// <summary>Field number for the "experimental" field.</summary>
    public const int ExperimentalFieldNumber = 9;
    private global::Tensorflow.GPUOptions.Types.Experimental experimental_;
    /// <summary>
    /// Everything inside experimental is subject to change and is not subject
    /// to API stability guarantees in
    /// https://www.tensorflow.org/guide/version_compat.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public global::Tensorflow.GPUOptions.Types.Experimental Experimental {
      get { return experimental_; }
      set {
        experimental_ = value;
      }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public override bool Equals(object other) {
      return Equals(other as GPUOptions);
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public bool Equals(GPUOptions other) {
      if (ReferenceEquals(other, null)) {
        return false;
      }
      if (ReferenceEquals(other, this)) {
        return true;
      }
      if (!pbc::ProtobufEqualityComparers.BitwiseDoubleEqualityComparer.Equals(PerProcessGpuMemoryFraction, other.PerProcessGpuMemoryFraction)) return false;
      if (AllowGrowth != other.AllowGrowth) return false;
      if (AllocatorType != other.AllocatorType) return false;
      if (DeferredDeletionBytes != other.DeferredDeletionBytes) return false;
      if (VisibleDeviceList != other.VisibleDeviceList) return false;
      if (PollingActiveDelayUsecs != other.PollingActiveDelayUsecs) return false;
      if (PollingInactiveDelayMsecs != other.PollingInactiveDelayMsecs) return false;
      if (ForceGpuCompatible != other.ForceGpuCompatible) return false;
      if (!object.Equals(Experimental, other.Experimental)) return false;
      return Equals(_unknownFields, other._unknownFields);
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public override int GetHashCode() {
      int hash = 1;
      if (PerProcessGpuMemoryFraction != 0D) hash ^= pbc::ProtobufEqualityComparers.BitwiseDoubleEqualityComparer.GetHashCode(PerProcessGpuMemoryFraction);
      if (AllowGrowth != false) hash ^= AllowGrowth.GetHashCode();
      if (AllocatorType.Length != 0) hash ^= AllocatorType.GetHashCode();
      if (DeferredDeletionBytes != 0L) hash ^= DeferredDeletionBytes.GetHashCode();
      if (VisibleDeviceList.Length != 0) hash ^= VisibleDeviceList.GetHashCode();
      if (PollingActiveDelayUsecs != 0) hash ^= PollingActiveDelayUsecs.GetHashCode();
      if (PollingInactiveDelayMsecs != 0) hash ^= PollingInactiveDelayMsecs.GetHashCode();
      if (ForceGpuCompatible != false) hash ^= ForceGpuCompatible.GetHashCode();
      if (experimental_ != null) hash ^= Experimental.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) {
      if (PerProcessGpuMemoryFraction != 0D) {
        output.WriteRawTag(9);
        output.WriteDouble(PerProcessGpuMemoryFraction);
      }
      if (AllocatorType.Length != 0) {
        output.WriteRawTag(18);
        output.WriteString(AllocatorType);
      }
      if (DeferredDeletionBytes != 0L) {
        output.WriteRawTag(24);
        output.WriteInt64(DeferredDeletionBytes);
      }
      if (AllowGrowth != false) {
        output.WriteRawTag(32);
        output.WriteBool(AllowGrowth);
      }
      if (VisibleDeviceList.Length != 0) {
        output.WriteRawTag(42);
        output.WriteString(VisibleDeviceList);
      }
      if (PollingActiveDelayUsecs != 0) {
        output.WriteRawTag(48);
        output.WriteInt32(PollingActiveDelayUsecs);
      }
      if (PollingInactiveDelayMsecs != 0) {
        output.WriteRawTag(56);
        output.WriteInt32(PollingInactiveDelayMsecs);
      }
      if (ForceGpuCompatible != false) {
        output.WriteRawTag(64);
        output.WriteBool(ForceGpuCompatible);
      }
      if (experimental_ != null) {
        output.WriteRawTag(74);
        output.WriteMessage(Experimental);
      }
      if (_unknownFields != null) {
        _unknownFields.WriteTo(output);
      }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public int CalculateSize() {
      int size = 0;
      if (PerProcessGpuMemoryFraction != 0D) {
        size += 1 + 8;
      }
      if (AllowGrowth != false) {
        size += 1 + 1;
      }
      if (AllocatorType.Length != 0) {
        size += 1 + pb::CodedOutputStream.ComputeStringSize(AllocatorType);
      }
      if (DeferredDeletionBytes != 0L) {
        size += 1 + pb::CodedOutputStream.ComputeInt64Size(DeferredDeletionBytes);
      }
      if (VisibleDeviceList.Length != 0) {
        size += 1 + pb::CodedOutputStream.ComputeStringSize(VisibleDeviceList);
      }
      if (PollingActiveDelayUsecs != 0) {
        size += 1 + pb::CodedOutputStream.ComputeInt32Size(PollingActiveDelayUsecs);
      }
      if (PollingInactiveDelayMsecs != 0) {
        size += 1 + pb::CodedOutputStream.ComputeInt32Size(PollingInactiveDelayMsecs);
      }
      if (ForceGpuCompatible != false) {
        size += 1 + 1;
      }
      if (experimental_ != null) {
        size += 1 + pb::CodedOutputStream.ComputeMessageSize(Experimental);
      }
      if (_unknownFields != null) {
        size += _unknownFields.CalculateSize();
      }
      return size;
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public void MergeFrom(GPUOptions other) {
      if (other == null) {
        return;
      }
      if (other.PerProcessGpuMemoryFraction != 0D) {
        PerProcessGpuMemoryFraction = other.PerProcessGpuMemoryFraction;
      }
      if (other.AllowGrowth != false) {
        AllowGrowth = other.AllowGrowth;
      }
      if (other.AllocatorType.Length != 0) {
        AllocatorType = other.AllocatorType;
      }
      if (other.DeferredDeletionBytes != 0L) {
        DeferredDeletionBytes = other.DeferredDeletionBytes;
      }
      if (other.VisibleDeviceList.Length != 0) {
        VisibleDeviceList = other.VisibleDeviceList;
      }
      if (other.PollingActiveDelayUsecs != 0) {
        PollingActiveDelayUsecs = other.PollingActiveDelayUsecs;
      }
      if (other.PollingInactiveDelayMsecs != 0) {
        PollingInactiveDelayMsecs = other.PollingInactiveDelayMsecs;
      }
      if (other.ForceGpuCompatible != false) {
        ForceGpuCompatible = other.ForceGpuCompatible;
      }
      if (other.experimental_ != null) {
        if (experimental_ == null) {
          experimental_ = new global::Tensorflow.GPUOptions.Types.Experimental();
        }
        Experimental.MergeFrom(other.Experimental);
      }
      _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 9: {
            PerProcessGpuMemoryFraction = input.ReadDouble();
            break;
          }
          case 18: {
            AllocatorType = input.ReadString();
            break;
          }
          case 24: {
            DeferredDeletionBytes = input.ReadInt64();
            break;
          }
          case 32: {
            AllowGrowth = input.ReadBool();
            break;
          }
          case 42: {
            VisibleDeviceList = input.ReadString();
            break;
          }
          case 48: {
            PollingActiveDelayUsecs = input.ReadInt32();
            break;
          }
          case 56: {
            PollingInactiveDelayMsecs = input.ReadInt32();
            break;
          }
          case 64: {
            ForceGpuCompatible = input.ReadBool();
            break;
          }
          case 74: {
            if (experimental_ == null) {
              experimental_ = new global::Tensorflow.GPUOptions.Types.Experimental();
            }
            input.ReadMessage(experimental_);
            break;
          }
        }
      }
    }

    #region Nested types
    /// <summary>Container for nested types declared in the GPUOptions message type.</summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public static partial class Types {
      public sealed partial class Experimental : pb::IMessage<Experimental> {
        private static readonly pb::MessageParser<Experimental> _parser = new pb::MessageParser<Experimental>(() => new Experimental());
        private pb::UnknownFieldSet _unknownFields;
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public static pb::MessageParser<Experimental> Parser { get { return _parser; } }

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public static pbr::MessageDescriptor Descriptor {
          get { return global::Tensorflow.GPUOptions.Descriptor.NestedTypes[0]; }
        }

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        pbr::MessageDescriptor pb::IMessage.Descriptor {
          get { return Descriptor; }
        }

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public Experimental() {
          OnConstruction();
        }

        partial void OnConstruction();

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public Experimental(Experimental other) : this() {
          virtualDevices_ = other.virtualDevices_.Clone();
          useUnifiedMemory_ = other.useUnifiedMemory_;
          numDevToDevCopyStreams_ = other.numDevToDevCopyStreams_;
          collectiveRingOrder_ = other.collectiveRingOrder_;
          timestampedAllocator_ = other.timestampedAllocator_;
          kernelTrackerMaxInterval_ = other.kernelTrackerMaxInterval_;
          kernelTrackerMaxBytes_ = other.kernelTrackerMaxBytes_;
          kernelTrackerMaxPending_ = other.kernelTrackerMaxPending_;
          _unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
        }

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public Experimental Clone() {
          return new Experimental(this);
        }

        /// <summary>Field number for the "virtual_devices" field.</summary>
        public const int VirtualDevicesFieldNumber = 1;
        private static readonly pb::FieldCodec<global::Tensorflow.GPUOptions.Types.Experimental.Types.VirtualDevices> _repeated_virtualDevices_codec
            = pb::FieldCodec.ForMessage(10, global::Tensorflow.GPUOptions.Types.Experimental.Types.VirtualDevices.Parser);
        private readonly pbc::RepeatedField<global::Tensorflow.GPUOptions.Types.Experimental.Types.VirtualDevices> virtualDevices_ = new pbc::RepeatedField<global::Tensorflow.GPUOptions.Types.Experimental.Types.VirtualDevices>();
        /// <summary>
        /// The multi virtual device settings. If empty (not set), it will create
        /// single virtual device on each visible GPU, according to the settings
        /// in "visible_device_list" above. Otherwise, the number of elements in the
        /// list must be the same as the number of visible GPUs (after
        /// "visible_device_list" filtering if it is set), and the string represented
        /// device names (e.g. /device:GPU:&lt;id>) will refer to the virtual
        /// devices and have the &lt;id> field assigned sequentially starting from 0,
        /// according to the order they appear in this list and the "memory_limit"
        /// list inside each element. For example,
        ///   visible_device_list = "1,0"
        ///   virtual_devices { memory_limit: 1GB memory_limit: 2GB }
        ///   virtual_devices {}
        /// will create three virtual devices as:
        ///   /device:GPU:0 -> visible GPU 1 with 1GB memory
        ///   /device:GPU:1 -> visible GPU 1 with 2GB memory
        ///   /device:GPU:2 -> visible GPU 0 with all available memory
        ///
        /// NOTE:
        /// 1. It's invalid to set both this and "per_process_gpu_memory_fraction"
        ///    at the same time.
        /// 2. Currently this setting is per-process, not per-session. Using
        ///    different settings in different sessions within same process will
        ///    result in undefined behavior.
        /// </summary>
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public pbc::RepeatedField<global::Tensorflow.GPUOptions.Types.Experimental.Types.VirtualDevices> VirtualDevices {
          get { return virtualDevices_; }
        }

        /// <summary>Field number for the "use_unified_memory" field.</summary>
        public const int UseUnifiedMemoryFieldNumber = 2;
        private bool useUnifiedMemory_;
        /// <summary>
        /// If true, uses CUDA unified memory for memory allocations. If
        /// per_process_gpu_memory_fraction option is greater than 1.0, then unified
        /// memory is used regardless of the value for this field. See comments for
        /// per_process_gpu_memory_fraction field for more details and requirements
        /// of the unified memory. This option is useful to oversubscribe memory if
        /// multiple processes are sharing a single GPU while individually using less
        /// than 1.0 per process memory fraction.
        /// </summary>
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public bool UseUnifiedMemory {
          get { return useUnifiedMemory_; }
          set {
            useUnifiedMemory_ = value;
          }
        }

        /// <summary>Field number for the "num_dev_to_dev_copy_streams" field.</summary>
        public const int NumDevToDevCopyStreamsFieldNumber = 3;
        private int numDevToDevCopyStreams_;
        /// <summary>
        /// If > 1, the number of device-to-device copy streams to create
        /// for each GPUDevice.  Default value is 0, which is automatically
        /// converted to 1.
        /// </summary>
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public int NumDevToDevCopyStreams {
          get { return numDevToDevCopyStreams_; }
          set {
            numDevToDevCopyStreams_ = value;
          }
        }

        /// <summary>Field number for the "collective_ring_order" field.</summary>
        public const int CollectiveRingOrderFieldNumber = 4;
        private string collectiveRingOrder_ = "";
        /// <summary>
        /// If non-empty, defines a good GPU ring order on a single worker based on
        /// device interconnect.  This assumes that all workers have the same GPU
        /// topology.  Specify as a comma-separated string, e.g. "3,2,1,0,7,6,5,4".
        /// This ring order is used by the RingReducer implementation of
        /// CollectiveReduce, and serves as an override to automatic ring order
        /// generation in OrderTaskDeviceMap() during CollectiveParam resolution.
        /// </summary>
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public string CollectiveRingOrder {
          get { return collectiveRingOrder_; }
          set {
            collectiveRingOrder_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
          }
        }

        /// <summary>Field number for the "timestamped_allocator" field.</summary>
        public const int TimestampedAllocatorFieldNumber = 5;
        private bool timestampedAllocator_;
        /// <summary>
        /// If true then extra work is done by GPUDevice and GPUBFCAllocator to
        /// keep track of when GPU memory is freed and when kernels actually
        /// complete so that we can know when a nominally free memory chunk
        /// is really not subject to pending use.
        /// </summary>
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public bool TimestampedAllocator {
          get { return timestampedAllocator_; }
          set {
            timestampedAllocator_ = value;
          }
        }

        /// <summary>Field number for the "kernel_tracker_max_interval" field.</summary>
        public const int KernelTrackerMaxIntervalFieldNumber = 7;
        private int kernelTrackerMaxInterval_;
        /// <summary>
        /// Parameters for GPUKernelTracker.  By default no kernel tracking is done.
        /// Note that timestamped_allocator is only effective if some tracking is
        /// specified.
        ///
        /// If kernel_tracker_max_interval = n > 0, then a tracking event
        /// is inserted after every n kernels without an event.
        /// </summary>
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public int KernelTrackerMaxInterval {
          get { return kernelTrackerMaxInterval_; }
          set {
            kernelTrackerMaxInterval_ = value;
          }
        }

        /// <summary>Field number for the "kernel_tracker_max_bytes" field.</summary>
        public const int KernelTrackerMaxBytesFieldNumber = 8;
        private int kernelTrackerMaxBytes_;
        /// <summary>
        /// If kernel_tracker_max_bytes = n > 0, then a tracking event is
        /// inserted after every series of kernels allocating a sum of
        /// memory >= n.  If one kernel allocates b * n bytes, then one
        /// event will be inserted after it, but it will count as b against
        /// the pending limit.
        /// </summary>
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public int KernelTrackerMaxBytes {
          get { return kernelTrackerMaxBytes_; }
          set {
            kernelTrackerMaxBytes_ = value;
          }
        }

        /// <summary>Field number for the "kernel_tracker_max_pending" field.</summary>
        public const int KernelTrackerMaxPendingFieldNumber = 9;
        private int kernelTrackerMaxPending_;
        /// <summary>
        /// If kernel_tracker_max_pending > 0 then no more than this many
        /// tracking events can be outstanding at a time.  An attempt to
        /// launch an additional kernel will stall until an event
        /// completes.
        /// </summary>
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public int KernelTrackerMaxPending {
          get { return kernelTrackerMaxPending_; }
          set {
            kernelTrackerMaxPending_ = value;
          }
        }

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public override bool Equals(object other) {
          return Equals(other as Experimental);
        }

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public bool Equals(Experimental other) {
          if (ReferenceEquals(other, null)) {
            return false;
          }
          if (ReferenceEquals(other, this)) {
            return true;
          }
          if(!virtualDevices_.Equals(other.virtualDevices_)) return false;
          if (UseUnifiedMemory != other.UseUnifiedMemory) return false;
          if (NumDevToDevCopyStreams != other.NumDevToDevCopyStreams) return false;
          if (CollectiveRingOrder != other.CollectiveRingOrder) return false;
          if (TimestampedAllocator != other.TimestampedAllocator) return false;
          if (KernelTrackerMaxInterval != other.KernelTrackerMaxInterval) return false;
          if (KernelTrackerMaxBytes != other.KernelTrackerMaxBytes) return false;
          if (KernelTrackerMaxPending != other.KernelTrackerMaxPending) return false;
          return Equals(_unknownFields, other._unknownFields);
        }

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public override int GetHashCode() {
          int hash = 1;
          hash ^= virtualDevices_.GetHashCode();
          if (UseUnifiedMemory != false) hash ^= UseUnifiedMemory.GetHashCode();
          if (NumDevToDevCopyStreams != 0) hash ^= NumDevToDevCopyStreams.GetHashCode();
          if (CollectiveRingOrder.Length != 0) hash ^= CollectiveRingOrder.GetHashCode();
          if (TimestampedAllocator != false) hash ^= TimestampedAllocator.GetHashCode();
          if (KernelTrackerMaxInterval != 0) hash ^= KernelTrackerMaxInterval.GetHashCode();
          if (KernelTrackerMaxBytes != 0) hash ^= KernelTrackerMaxBytes.GetHashCode();
          if (KernelTrackerMaxPending != 0) hash ^= KernelTrackerMaxPending.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) {
          virtualDevices_.WriteTo(output, _repeated_virtualDevices_codec);
          if (UseUnifiedMemory != false) {
            output.WriteRawTag(16);
            output.WriteBool(UseUnifiedMemory);
          }
          if (NumDevToDevCopyStreams != 0) {
            output.WriteRawTag(24);
            output.WriteInt32(NumDevToDevCopyStreams);
          }
          if (CollectiveRingOrder.Length != 0) {
            output.WriteRawTag(34);
            output.WriteString(CollectiveRingOrder);
          }
          if (TimestampedAllocator != false) {
            output.WriteRawTag(40);
            output.WriteBool(TimestampedAllocator);
          }
          if (KernelTrackerMaxInterval != 0) {
            output.WriteRawTag(56);
            output.WriteInt32(KernelTrackerMaxInterval);
          }
          if (KernelTrackerMaxBytes != 0) {
            output.WriteRawTag(64);
            output.WriteInt32(KernelTrackerMaxBytes);
          }
          if (KernelTrackerMaxPending != 0) {
            output.WriteRawTag(72);
            output.WriteInt32(KernelTrackerMaxPending);
          }
          if (_unknownFields != null) {
            _unknownFields.WriteTo(output);
          }
        }

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public int CalculateSize() {
          int size = 0;
          size += virtualDevices_.CalculateSize(_repeated_virtualDevices_codec);
          if (UseUnifiedMemory != false) {
            size += 1 + 1;
          }
          if (NumDevToDevCopyStreams != 0) {
            size += 1 + pb::CodedOutputStream.ComputeInt32Size(NumDevToDevCopyStreams);
          }
          if (CollectiveRingOrder.Length != 0) {
            size += 1 + pb::CodedOutputStream.ComputeStringSize(CollectiveRingOrder);
          }
          if (TimestampedAllocator != false) {
            size += 1 + 1;
          }
          if (KernelTrackerMaxInterval != 0) {
            size += 1 + pb::CodedOutputStream.ComputeInt32Size(KernelTrackerMaxInterval);
          }
          if (KernelTrackerMaxBytes != 0) {
            size += 1 + pb::CodedOutputStream.ComputeInt32Size(KernelTrackerMaxBytes);
          }
          if (KernelTrackerMaxPending != 0) {
            size += 1 + pb::CodedOutputStream.ComputeInt32Size(KernelTrackerMaxPending);
          }
          if (_unknownFields != null) {
            size += _unknownFields.CalculateSize();
          }
          return size;
        }

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public void MergeFrom(Experimental other) {
          if (other == null) {
            return;
          }
          virtualDevices_.Add(other.virtualDevices_);
          if (other.UseUnifiedMemory != false) {
            UseUnifiedMemory = other.UseUnifiedMemory;
          }
          if (other.NumDevToDevCopyStreams != 0) {
            NumDevToDevCopyStreams = other.NumDevToDevCopyStreams;
          }
          if (other.CollectiveRingOrder.Length != 0) {
            CollectiveRingOrder = other.CollectiveRingOrder;
          }
          if (other.TimestampedAllocator != false) {
            TimestampedAllocator = other.TimestampedAllocator;
          }
          if (other.KernelTrackerMaxInterval != 0) {
            KernelTrackerMaxInterval = other.KernelTrackerMaxInterval;
          }
          if (other.KernelTrackerMaxBytes != 0) {
            KernelTrackerMaxBytes = other.KernelTrackerMaxBytes;
          }
          if (other.KernelTrackerMaxPending != 0) {
            KernelTrackerMaxPending = other.KernelTrackerMaxPending;
          }
          _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 10: {
                virtualDevices_.AddEntriesFrom(input, _repeated_virtualDevices_codec);
                break;
              }
              case 16: {
                UseUnifiedMemory = input.ReadBool();
                break;
              }
              case 24: {
                NumDevToDevCopyStreams = input.ReadInt32();
                break;
              }
              case 34: {
                CollectiveRingOrder = input.ReadString();
                break;
              }
              case 40: {
                TimestampedAllocator = input.ReadBool();
                break;
              }
              case 56: {
                KernelTrackerMaxInterval = input.ReadInt32();
                break;
              }
              case 64: {
                KernelTrackerMaxBytes = input.ReadInt32();
                break;
              }
              case 72: {
                KernelTrackerMaxPending = input.ReadInt32();
                break;
              }
            }
          }
        }

        #region Nested types
        /// <summary>Container for nested types declared in the Experimental message type.</summary>
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public static partial class Types {
          /// <summary>
          /// Configuration for breaking down a visible GPU into multiple "virtual"
          /// devices.
          /// </summary>
          public sealed partial class VirtualDevices : pb::IMessage<VirtualDevices> {
            private static readonly pb::MessageParser<VirtualDevices> _parser = new pb::MessageParser<VirtualDevices>(() => new VirtualDevices());
            private pb::UnknownFieldSet _unknownFields;
            [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
            public static pb::MessageParser<VirtualDevices> Parser { get { return _parser; } }

            [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
            public static pbr::MessageDescriptor Descriptor {
              get { return global::Tensorflow.GPUOptions.Types.Experimental.Descriptor.NestedTypes[0]; }
            }

            [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
            pbr::MessageDescriptor pb::IMessage.Descriptor {
              get { return Descriptor; }
            }

            [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
            public VirtualDevices() {
              OnConstruction();
            }

            partial void OnConstruction();

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

            [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
            public VirtualDevices Clone() {
              return new VirtualDevices(this);
            }

            /// <summary>Field number for the "memory_limit_mb" field.</summary>
            public const int MemoryLimitMbFieldNumber = 1;
            private static readonly pb::FieldCodec<float> _repeated_memoryLimitMb_codec
                = pb::FieldCodec.ForFloat(10);
            private readonly pbc::RepeatedField<float> memoryLimitMb_ = new pbc::RepeatedField<float>();
            /// <summary>
            /// Per "virtual" device memory limit, in MB. The number of elements in
            /// the list is the number of virtual devices to create on the
            /// corresponding visible GPU (see "virtual_devices" below).
            /// If empty, it will create single virtual device taking all available
            /// memory from the device.
            ///
            /// For the concept of "visible" and "virtual" GPU, see the comments for
            /// "visible_device_list" above for more information.
            /// </summary>
            [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
            public pbc::RepeatedField<float> MemoryLimitMb {
              get { return memoryLimitMb_; }
            }

            [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
            public override bool Equals(object other) {
              return Equals(other as VirtualDevices);
            }

            [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
            public bool Equals(VirtualDevices other) {
              if (ReferenceEquals(other, null)) {
                return false;
              }
              if (ReferenceEquals(other, this)) {
                return true;
              }
              if(!memoryLimitMb_.Equals(other.memoryLimitMb_)) return false;
              return Equals(_unknownFields, other._unknownFields);
            }

            [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
            public override int GetHashCode() {
              int hash = 1;
              hash ^= memoryLimitMb_.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) {
              memoryLimitMb_.WriteTo(output, _repeated_memoryLimitMb_codec);
              if (_unknownFields != null) {
                _unknownFields.WriteTo(output);
              }
            }

            [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
            public int CalculateSize() {
              int size = 0;
              size += memoryLimitMb_.CalculateSize(_repeated_memoryLimitMb_codec);
              if (_unknownFields != null) {
                size += _unknownFields.CalculateSize();
              }
              return size;
            }

            [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
            public void MergeFrom(VirtualDevices other) {
              if (other == null) {
                return;
              }
              memoryLimitMb_.Add(other.memoryLimitMb_);
              _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 10:
                  case 13: {
                    memoryLimitMb_.AddEntriesFrom(input, _repeated_memoryLimitMb_codec);
                    break;
                  }
                }
              }
            }

          }

        }
        #endregion

      }

    }
    #endregion

  }

  /// <summary>
  /// Options passed to the graph optimizer
  /// </summary>
  public sealed partial class OptimizerOptions : pb::IMessage<OptimizerOptions> {
    private static readonly pb::MessageParser<OptimizerOptions> _parser = new pb::MessageParser<OptimizerOptions>(() => new OptimizerOptions());
    private pb::UnknownFieldSet _unknownFields;
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public static pb::MessageParser<OptimizerOptions> Parser { get { return _parser; } }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public static pbr::MessageDescriptor Descriptor {
      get { return global::Tensorflow.ConfigReflection.Descriptor.MessageTypes[1]; }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    pbr::MessageDescriptor pb::IMessage.Descriptor {
      get { return Descriptor; }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public OptimizerOptions() {
      OnConstruction();
    }

    partial void OnConstruction();

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public OptimizerOptions(OptimizerOptions other) : this() {
      doCommonSubexpressionElimination_ = other.doCommonSubexpressionElimination_;
      doConstantFolding_ = other.doConstantFolding_;
      maxFoldedConstantInBytes_ = other.maxFoldedConstantInBytes_;
      doFunctionInlining_ = other.doFunctionInlining_;
      optLevel_ = other.optLevel_;
      globalJitLevel_ = other.globalJitLevel_;
      _unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public OptimizerOptions Clone() {
      return new OptimizerOptions(this);
    }

    /// <summary>Field number for the "do_common_subexpression_elimination" field.</summary>
    public const int DoCommonSubexpressionEliminationFieldNumber = 1;
    private bool doCommonSubexpressionElimination_;
    /// <summary>
    /// If true, optimize the graph using common subexpression elimination.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public bool DoCommonSubexpressionElimination {
      get { return doCommonSubexpressionElimination_; }
      set {
        doCommonSubexpressionElimination_ = value;
      }
    }

    /// <summary>Field number for the "do_constant_folding" field.</summary>
    public const int DoConstantFoldingFieldNumber = 2;
    private bool doConstantFolding_;
    /// <summary>
    /// If true, perform constant folding optimization on the graph.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public bool DoConstantFolding {
      get { return doConstantFolding_; }
      set {
        doConstantFolding_ = value;
      }
    }

    /// <summary>Field number for the "max_folded_constant_in_bytes" field.</summary>
    public const int MaxFoldedConstantInBytesFieldNumber = 6;
    private long maxFoldedConstantInBytes_;
    /// <summary>
    /// Constant folding optimization replaces tensors whose values can be
    /// predetermined, with constant nodes. To avoid inserting too large constants,
    /// the size of each constant created can be limited. If this value is zero, a
    /// default limit of 10 MiB will be applied. If constant folding optimization
    /// is disabled, this value is ignored.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public long MaxFoldedConstantInBytes {
      get { return maxFoldedConstantInBytes_; }
      set {
        maxFoldedConstantInBytes_ = value;
      }
    }

    /// <summary>Field number for the "do_function_inlining" field.</summary>
    public const int DoFunctionInliningFieldNumber = 4;
    private bool doFunctionInlining_;
    /// <summary>
    /// If true, perform function inlining on the graph.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public bool DoFunctionInlining {
      get { return doFunctionInlining_; }
      set {
        doFunctionInlining_ = value;
      }
    }

    /// <summary>Field number for the "opt_level" field.</summary>
    public const int OptLevelFieldNumber = 3;
    private global::Tensorflow.OptimizerOptions.Types.Level optLevel_ = 0;
    /// <summary>
    /// Overall optimization level. The actual optimizations applied will be the
    /// logical OR of the flags that this level implies and any flags already set.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public global::Tensorflow.OptimizerOptions.Types.Level OptLevel {
      get { return optLevel_; }
      set {
        optLevel_ = value;
      }
    }

    /// <summary>Field number for the "global_jit_level" field.</summary>
    public const int GlobalJitLevelFieldNumber = 5;
    private global::Tensorflow.OptimizerOptions.Types.GlobalJitLevel globalJitLevel_ = 0;
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public global::Tensorflow.OptimizerOptions.Types.GlobalJitLevel GlobalJitLevel {
      get { return globalJitLevel_; }
      set {
        globalJitLevel_ = value;
      }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public override bool Equals(object other) {
      return Equals(other as OptimizerOptions);
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public bool Equals(OptimizerOptions other) {
      if (ReferenceEquals(other, null)) {
        return false;
      }
      if (ReferenceEquals(other, this)) {
        return true;
      }
      if (DoCommonSubexpressionElimination != other.DoCommonSubexpressionElimination) return false;
      if (DoConstantFolding != other.DoConstantFolding) return false;
      if (MaxFoldedConstantInBytes != other.MaxFoldedConstantInBytes) return false;
      if (DoFunctionInlining != other.DoFunctionInlining) return false;
      if (OptLevel != other.OptLevel) return false;
      if (GlobalJitLevel != other.GlobalJitLevel) return false;
      return Equals(_unknownFields, other._unknownFields);
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public override int GetHashCode() {
      int hash = 1;
      if (DoCommonSubexpressionElimination != false) hash ^= DoCommonSubexpressionElimination.GetHashCode();
      if (DoConstantFolding != false) hash ^= DoConstantFolding.GetHashCode();
      if (MaxFoldedConstantInBytes != 0L) hash ^= MaxFoldedConstantInBytes.GetHashCode();
      if (DoFunctionInlining != false) hash ^= DoFunctionInlining.GetHashCode();
      if (OptLevel != 0) hash ^= OptLevel.GetHashCode();
      if (GlobalJitLevel != 0) hash ^= GlobalJitLevel.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) {
      if (DoCommonSubexpressionElimination != false) {
        output.WriteRawTag(8);
        output.WriteBool(DoCommonSubexpressionElimination);
      }
      if (DoConstantFolding != false) {
        output.WriteRawTag(16);
        output.WriteBool(DoConstantFolding);
      }
      if (OptLevel != 0) {
        output.WriteRawTag(24);
        output.WriteEnum((int) OptLevel);
      }
      if (DoFunctionInlining != false) {
        output.WriteRawTag(32);
        output.WriteBool(DoFunctionInlining);
      }
      if (GlobalJitLevel != 0) {
        output.WriteRawTag(40);
        output.WriteEnum((int) GlobalJitLevel);
      }
      if (MaxFoldedConstantInBytes != 0L) {
        output.WriteRawTag(48);
        output.WriteInt64(MaxFoldedConstantInBytes);
      }
      if (_unknownFields != null) {
        _unknownFields.WriteTo(output);
      }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public int CalculateSize() {
      int size = 0;
      if (DoCommonSubexpressionElimination != false) {
        size += 1 + 1;
      }
      if (DoConstantFolding != false) {
        size += 1 + 1;
      }
      if (MaxFoldedConstantInBytes != 0L) {
        size += 1 + pb::CodedOutputStream.ComputeInt64Size(MaxFoldedConstantInBytes);
      }
      if (DoFunctionInlining != false) {
        size += 1 + 1;
      }
      if (OptLevel != 0) {
        size += 1 + pb::CodedOutputStream.ComputeEnumSize((int) OptLevel);
      }
      if (GlobalJitLevel != 0) {
        size += 1 + pb::CodedOutputStream.ComputeEnumSize((int) GlobalJitLevel);
      }
      if (_unknownFields != null) {
        size += _unknownFields.CalculateSize();
      }
      return size;
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public void MergeFrom(OptimizerOptions other) {
      if (other == null) {
        return;
      }
      if (other.DoCommonSubexpressionElimination != false) {
        DoCommonSubexpressionElimination = other.DoCommonSubexpressionElimination;
      }
      if (other.DoConstantFolding != false) {
        DoConstantFolding = other.DoConstantFolding;
      }
      if (other.MaxFoldedConstantInBytes != 0L) {
        MaxFoldedConstantInBytes = other.MaxFoldedConstantInBytes;
      }
      if (other.DoFunctionInlining != false) {
        DoFunctionInlining = other.DoFunctionInlining;
      }
      if (other.OptLevel != 0) {
        OptLevel = other.OptLevel;
      }
      if (other.GlobalJitLevel != 0) {
        GlobalJitLevel = other.GlobalJitLevel;
      }
      _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 8: {
            DoCommonSubexpressionElimination = input.ReadBool();
            break;
          }
          case 16: {
            DoConstantFolding = input.ReadBool();
            break;
          }
          case 24: {
            optLevel_ = (global::Tensorflow.OptimizerOptions.Types.Level) input.ReadEnum();
            break;
          }
          case 32: {
            DoFunctionInlining = input.ReadBool();
            break;
          }
          case 40: {
            globalJitLevel_ = (global::Tensorflow.OptimizerOptions.Types.GlobalJitLevel) input.ReadEnum();
            break;
          }
          case 48: {
            MaxFoldedConstantInBytes = input.ReadInt64();
            break;
          }
        }
      }
    }

    #region Nested types
    /// <summary>Container for nested types declared in the OptimizerOptions message type.</summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public static partial class Types {
      /// <summary>
      /// Optimization level
      /// </summary>
      public enum Level {
        /// <summary>
        /// L1 is the default level.
        /// Optimization performed at L1 :
        /// 1. Common subexpression elimination
        /// 2. Constant folding
        /// </summary>
        [pbr::OriginalName("L1")] L1 = 0,
        /// <summary>
        /// No optimizations
        /// </summary>
        [pbr::OriginalName("L0")] L0 = -1,
      }

      /// <summary>
      /// Control the use of the compiler/jit.  Experimental.
      /// </summary>
      public enum GlobalJitLevel {
        /// <summary>
        /// Default setting ("off" now, but later expected to be "on")
        /// </summary>
        [pbr::OriginalName("DEFAULT")] Default = 0,
        [pbr::OriginalName("OFF")] Off = -1,
        /// <summary>
        /// The following settings turn on compilation, with higher values being
        /// more aggressive.  Higher values may reduce opportunities for parallelism
        /// and may use more memory.  (At present, there is no distinction, but this
        /// is expected to change.)
        /// </summary>
        [pbr::OriginalName("ON_1")] On1 = 1,
        [pbr::OriginalName("ON_2")] On2 = 2,
      }

    }
    #endregion

  }

  public sealed partial class GraphOptions : pb::IMessage<GraphOptions> {
    private static readonly pb::MessageParser<GraphOptions> _parser = new pb::MessageParser<GraphOptions>(() => new GraphOptions());
    private pb::UnknownFieldSet _unknownFields;
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public static pb::MessageParser<GraphOptions> Parser { get { return _parser; } }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public static pbr::MessageDescriptor Descriptor {
      get { return global::Tensorflow.ConfigReflection.Descriptor.MessageTypes[2]; }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    pbr::MessageDescriptor pb::IMessage.Descriptor {
      get { return Descriptor; }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public GraphOptions() {
      OnConstruction();
    }

    partial void OnConstruction();

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public GraphOptions(GraphOptions other) : this() {
      enableRecvScheduling_ = other.enableRecvScheduling_;
      optimizerOptions_ = other.optimizerOptions_ != null ? other.optimizerOptions_.Clone() : null;
      buildCostModel_ = other.buildCostModel_;
      buildCostModelAfter_ = other.buildCostModelAfter_;
      inferShapes_ = other.inferShapes_;
      placePrunedGraph_ = other.placePrunedGraph_;
      enableBfloat16Sendrecv_ = other.enableBfloat16Sendrecv_;
      timelineStep_ = other.timelineStep_;
      rewriteOptions_ = other.rewriteOptions_ != null ? other.rewriteOptions_.Clone() : null;
      _unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public GraphOptions Clone() {
      return new GraphOptions(this);
    }

    /// <summary>Field number for the "enable_recv_scheduling" field.</summary>
    public const int EnableRecvSchedulingFieldNumber = 2;
    private bool enableRecvScheduling_;
    /// <summary>
    /// If true, use control flow to schedule the activation of Recv nodes.
    /// (Currently ignored.)
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public bool EnableRecvScheduling {
      get { return enableRecvScheduling_; }
      set {
        enableRecvScheduling_ = value;
      }
    }

    /// <summary>Field number for the "optimizer_options" field.</summary>
    public const int OptimizerOptionsFieldNumber = 3;
    private global::Tensorflow.OptimizerOptions optimizerOptions_;
    /// <summary>
    /// Options controlling how graph is optimized.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public global::Tensorflow.OptimizerOptions OptimizerOptions {
      get { return optimizerOptions_; }
      set {
        optimizerOptions_ = value;
      }
    }

    /// <summary>Field number for the "build_cost_model" field.</summary>
    public const int BuildCostModelFieldNumber = 4;
    private long buildCostModel_;
    /// <summary>
    /// The number of steps to run before returning a cost model detailing
    /// the memory usage and performance of each node of the graph. 0 means
    /// no cost model.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public long BuildCostModel {
      get { return buildCostModel_; }
      set {
        buildCostModel_ = value;
      }
    }

    /// <summary>Field number for the "build_cost_model_after" field.</summary>
    public const int BuildCostModelAfterFieldNumber = 9;
    private long buildCostModelAfter_;
    /// <summary>
    /// The number of steps to skip before collecting statistics for the
    /// cost model.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public long BuildCostModelAfter {
      get { return buildCostModelAfter_; }
      set {
        buildCostModelAfter_ = value;
      }
    }

    /// <summary>Field number for the "infer_shapes" field.</summary>
    public const int InferShapesFieldNumber = 5;
    private bool inferShapes_;
    /// <summary>
    /// Annotate each Node with Op output shape data, to the extent it can
    /// be statically inferred.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public bool InferShapes {
      get { return inferShapes_; }
      set {
        inferShapes_ = value;
      }
    }

    /// <summary>Field number for the "place_pruned_graph" field.</summary>
    public const int PlacePrunedGraphFieldNumber = 6;
    private bool placePrunedGraph_;
    /// <summary>
    /// Only place the subgraphs that are run, rather than the entire graph.
    ///
    /// This is useful for interactive graph building, where one might
    /// produce graphs that cannot be placed during the debugging
    /// process.  In particular, it allows the client to continue work in
    /// a session after adding a node to a graph whose placement
    /// constraints are unsatisfiable.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public bool PlacePrunedGraph {
      get { return placePrunedGraph_; }
      set {
        placePrunedGraph_ = value;
      }
    }

    /// <summary>Field number for the "enable_bfloat16_sendrecv" field.</summary>
    public const int EnableBfloat16SendrecvFieldNumber = 7;
    private bool enableBfloat16Sendrecv_;
    /// <summary>
    /// If true, transfer float values between processes as bfloat16.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public bool EnableBfloat16Sendrecv {
      get { return enableBfloat16Sendrecv_; }
      set {
        enableBfloat16Sendrecv_ = value;
      }
    }

    /// <summary>Field number for the "timeline_step" field.</summary>
    public const int TimelineStepFieldNumber = 8;
    private int timelineStep_;
    /// <summary>
    /// If > 0, record a timeline every this many steps.
    /// EXPERIMENTAL: This currently has no effect in MasterSession.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public int TimelineStep {
      get { return timelineStep_; }
      set {
        timelineStep_ = value;
      }
    }

    /// <summary>Field number for the "rewrite_options" field.</summary>
    public const int RewriteOptionsFieldNumber = 10;
    private global::Tensorflow.RewriterConfig rewriteOptions_;
    /// <summary>
    /// Options that control the type and amount of graph rewriting.
    /// Not currently configurable via the public Python API (i.e. there is no API
    /// stability guarantee if you import RewriterConfig explicitly).
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public global::Tensorflow.RewriterConfig RewriteOptions {
      get { return rewriteOptions_; }
      set {
        rewriteOptions_ = value;
      }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public override bool Equals(object other) {
      return Equals(other as GraphOptions);
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public bool Equals(GraphOptions other) {
      if (ReferenceEquals(other, null)) {
        return false;
      }
      if (ReferenceEquals(other, this)) {
        return true;
      }
      if (EnableRecvScheduling != other.EnableRecvScheduling) return false;
      if (!object.Equals(OptimizerOptions, other.OptimizerOptions)) return false;
      if (BuildCostModel != other.BuildCostModel) return false;
      if (BuildCostModelAfter != other.BuildCostModelAfter) return false;
      if (InferShapes != other.InferShapes) return false;
      if (PlacePrunedGraph != other.PlacePrunedGraph) return false;
      if (EnableBfloat16Sendrecv != other.EnableBfloat16Sendrecv) return false;
      if (TimelineStep != other.TimelineStep) return false;
      if (!object.Equals(RewriteOptions, other.RewriteOptions)) return false;
      return Equals(_unknownFields, other._unknownFields);
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public override int GetHashCode() {
      int hash = 1;
      if (EnableRecvScheduling != false) hash ^= EnableRecvScheduling.GetHashCode();
      if (optimizerOptions_ != null) hash ^= OptimizerOptions.GetHashCode();
      if (BuildCostModel != 0L) hash ^= BuildCostModel.GetHashCode();
      if (BuildCostModelAfter != 0L) hash ^= BuildCostModelAfter.GetHashCode();
      if (InferShapes != false) hash ^= InferShapes.GetHashCode();
      if (PlacePrunedGraph != false) hash ^= PlacePrunedGraph.GetHashCode();
      if (EnableBfloat16Sendrecv != false) hash ^= EnableBfloat16Sendrecv.GetHashCode();
      if (TimelineStep != 0) hash ^= TimelineStep.GetHashCode();
      if (rewriteOptions_ != null) hash ^= RewriteOptions.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) {
      if (EnableRecvScheduling != false) {
        output.WriteRawTag(16);
        output.WriteBool(EnableRecvScheduling);
      }
      if (optimizerOptions_ != null) {
        output.WriteRawTag(26);
        output.WriteMessage(OptimizerOptions);
      }
      if (BuildCostModel != 0L) {
        output.WriteRawTag(32);
        output.WriteInt64(BuildCostModel);
      }
      if (InferShapes != false) {
        output.WriteRawTag(40);
        output.WriteBool(InferShapes);
      }
      if (PlacePrunedGraph != false) {
        output.WriteRawTag(48);
        output.WriteBool(PlacePrunedGraph);
      }
      if (EnableBfloat16Sendrecv != false) {
        output.WriteRawTag(56);
        output.WriteBool(EnableBfloat16Sendrecv);
      }
      if (TimelineStep != 0) {
        output.WriteRawTag(64);
        output.WriteInt32(TimelineStep);
      }
      if (BuildCostModelAfter != 0L) {
        output.WriteRawTag(72);
        output.WriteInt64(BuildCostModelAfter);
      }
      if (rewriteOptions_ != null) {
        output.WriteRawTag(82);
        output.WriteMessage(RewriteOptions);
      }
      if (_unknownFields != null) {
        _unknownFields.WriteTo(output);
      }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public int CalculateSize() {
      int size = 0;
      if (EnableRecvScheduling != false) {
        size += 1 + 1;
      }
      if (optimizerOptions_ != null) {
        size += 1 + pb::CodedOutputStream.ComputeMessageSize(OptimizerOptions);
      }
      if (BuildCostModel != 0L) {
        size += 1 + pb::CodedOutputStream.ComputeInt64Size(BuildCostModel);
      }
      if (BuildCostModelAfter != 0L) {
        size += 1 + pb::CodedOutputStream.ComputeInt64Size(BuildCostModelAfter);
      }
      if (InferShapes != false) {
        size += 1 + 1;
      }
      if (PlacePrunedGraph != false) {
        size += 1 + 1;
      }
      if (EnableBfloat16Sendrecv != false) {
        size += 1 + 1;
      }
      if (TimelineStep != 0) {
        size += 1 + pb::CodedOutputStream.ComputeInt32Size(TimelineStep);
      }
      if (rewriteOptions_ != null) {
        size += 1 + pb::CodedOutputStream.ComputeMessageSize(RewriteOptions);
      }
      if (_unknownFields != null) {
        size += _unknownFields.CalculateSize();
      }
      return size;
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public void MergeFrom(GraphOptions other) {
      if (other == null) {
        return;
      }
      if (other.EnableRecvScheduling != false) {
        EnableRecvScheduling = other.EnableRecvScheduling;
      }
      if (other.optimizerOptions_ != null) {
        if (optimizerOptions_ == null) {
          optimizerOptions_ = new global::Tensorflow.OptimizerOptions();
        }
        OptimizerOptions.MergeFrom(other.OptimizerOptions);
      }
      if (other.BuildCostModel != 0L) {
        BuildCostModel = other.BuildCostModel;
      }
      if (other.BuildCostModelAfter != 0L) {
        BuildCostModelAfter = other.BuildCostModelAfter;
      }
      if (other.InferShapes != false) {
        InferShapes = other.InferShapes;
      }
      if (other.PlacePrunedGraph != false) {
        PlacePrunedGraph = other.PlacePrunedGraph;
      }
      if (other.EnableBfloat16Sendrecv != false) {
        EnableBfloat16Sendrecv = other.EnableBfloat16Sendrecv;
      }
      if (other.TimelineStep != 0) {
        TimelineStep = other.TimelineStep;
      }
      if (other.rewriteOptions_ != null) {
        if (rewriteOptions_ == null) {
          rewriteOptions_ = new global::Tensorflow.RewriterConfig();
        }
        RewriteOptions.MergeFrom(other.RewriteOptions);
      }
      _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 16: {
            EnableRecvScheduling = input.ReadBool();
            break;
          }
          case 26: {
            if (optimizerOptions_ == null) {
              optimizerOptions_ = new global::Tensorflow.OptimizerOptions();
            }
            input.ReadMessage(optimizerOptions_);
            break;
          }
          case 32: {
            BuildCostModel = input.ReadInt64();
            break;
          }
          case 40: {
            InferShapes = input.ReadBool();
            break;
          }
          case 48: {
            PlacePrunedGraph = input.ReadBool();
            break;
          }
          case 56: {
            EnableBfloat16Sendrecv = input.ReadBool();
            break;
          }
          case 64: {
            TimelineStep = input.ReadInt32();
            break;
          }
          case 72: {
            BuildCostModelAfter = input.ReadInt64();
            break;
          }
          case 82: {
            if (rewriteOptions_ == null) {
              rewriteOptions_ = new global::Tensorflow.RewriterConfig();
            }
            input.ReadMessage(rewriteOptions_);
            break;
          }
        }
      }
    }

  }

  public sealed partial class ThreadPoolOptionProto : pb::IMessage<ThreadPoolOptionProto> {
    private static readonly pb::MessageParser<ThreadPoolOptionProto> _parser = new pb::MessageParser<ThreadPoolOptionProto>(() => new ThreadPoolOptionProto());
    private pb::UnknownFieldSet _unknownFields;
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public static pb::MessageParser<ThreadPoolOptionProto> Parser { get { return _parser; } }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public static pbr::MessageDescriptor Descriptor {
      get { return global::Tensorflow.ConfigReflection.Descriptor.MessageTypes[3]; }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    pbr::MessageDescriptor pb::IMessage.Descriptor {
      get { return Descriptor; }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public ThreadPoolOptionProto() {
      OnConstruction();
    }

    partial void OnConstruction();

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public ThreadPoolOptionProto(ThreadPoolOptionProto other) : this() {
      numThreads_ = other.numThreads_;
      globalName_ = other.globalName_;
      _unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public ThreadPoolOptionProto Clone() {
      return new ThreadPoolOptionProto(this);
    }

    /// <summary>Field number for the "num_threads" field.</summary>
    public const int NumThreadsFieldNumber = 1;
    private int numThreads_;
    /// <summary>
    /// The number of threads in the pool.
    ///
    /// 0 means the system picks a value based on where this option proto is used
    /// (see the declaration of the specific field for more info).
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public int NumThreads {
      get { return numThreads_; }
      set {
        numThreads_ = value;
      }
    }

    /// <summary>Field number for the "global_name" field.</summary>
    public const int GlobalNameFieldNumber = 2;
    private string globalName_ = "";
    /// <summary>
    /// The global name of the threadpool.
    ///
    /// If empty, then the threadpool is made and used according to the scope it's
    /// in - e.g., for a session threadpool, it is used by that session only.
    ///
    /// If non-empty, then:
    /// - a global threadpool associated with this name is looked
    ///   up or created. This allows, for example, sharing one threadpool across
    ///   many sessions (e.g., like the default behavior, if
    ///   inter_op_parallelism_threads is not configured), but still partitioning
    ///   into a large and small pool.
    /// - if the threadpool for this global_name already exists, then it is an
    ///   error if the existing pool was created using a different num_threads
    ///   value as is specified on this call.
    /// - threadpools created this way are never garbage collected.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public string GlobalName {
      get { return globalName_; }
      set {
        globalName_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
      }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public override bool Equals(object other) {
      return Equals(other as ThreadPoolOptionProto);
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public bool Equals(ThreadPoolOptionProto other) {
      if (ReferenceEquals(other, null)) {
        return false;
      }
      if (ReferenceEquals(other, this)) {
        return true;
      }
      if (NumThreads != other.NumThreads) return false;
      if (GlobalName != other.GlobalName) return false;
      return Equals(_unknownFields, other._unknownFields);
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public override int GetHashCode() {
      int hash = 1;
      if (NumThreads != 0) hash ^= NumThreads.GetHashCode();
      if (GlobalName.Length != 0) hash ^= GlobalName.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) {
      if (NumThreads != 0) {
        output.WriteRawTag(8);
        output.WriteInt32(NumThreads);
      }
      if (GlobalName.Length != 0) {
        output.WriteRawTag(18);
        output.WriteString(GlobalName);
      }
      if (_unknownFields != null) {
        _unknownFields.WriteTo(output);
      }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public int CalculateSize() {
      int size = 0;
      if (NumThreads != 0) {
        size += 1 + pb::CodedOutputStream.ComputeInt32Size(NumThreads);
      }
      if (GlobalName.Length != 0) {
        size += 1 + pb::CodedOutputStream.ComputeStringSize(GlobalName);
      }
      if (_unknownFields != null) {
        size += _unknownFields.CalculateSize();
      }
      return size;
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public void MergeFrom(ThreadPoolOptionProto other) {
      if (other == null) {
        return;
      }
      if (other.NumThreads != 0) {
        NumThreads = other.NumThreads;
      }
      if (other.GlobalName.Length != 0) {
        GlobalName = other.GlobalName;
      }
      _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 8: {
            NumThreads = input.ReadInt32();
            break;
          }
          case 18: {
            GlobalName = input.ReadString();
            break;
          }
        }
      }
    }

  }

  public sealed partial class RPCOptions : pb::IMessage<RPCOptions> {
    private static readonly pb::MessageParser<RPCOptions> _parser = new pb::MessageParser<RPCOptions>(() => new RPCOptions());
    private pb::UnknownFieldSet _unknownFields;
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public static pb::MessageParser<RPCOptions> Parser { get { return _parser; } }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public static pbr::MessageDescriptor Descriptor {
      get { return global::Tensorflow.ConfigReflection.Descriptor.MessageTypes[4]; }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    pbr::MessageDescriptor pb::IMessage.Descriptor {
      get { return Descriptor; }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public RPCOptions() {
      OnConstruction();
    }

    partial void OnConstruction();

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public RPCOptions(RPCOptions other) : this() {
      useRpcForInprocessMaster_ = other.useRpcForInprocessMaster_;
      compressionAlgorithm_ = other.compressionAlgorithm_;
      compressionLevel_ = other.compressionLevel_;
      _unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public RPCOptions Clone() {
      return new RPCOptions(this);
    }

    /// <summary>Field number for the "use_rpc_for_inprocess_master" field.</summary>
    public const int UseRpcForInprocessMasterFieldNumber = 1;
    private bool useRpcForInprocessMaster_;
    /// <summary>
    /// If true, always use RPC to contact the session target.
    ///
    /// If false (the default option), TensorFlow may use an optimized
    /// transport for client-master communication that avoids the RPC
    /// stack. This option is primarily for used testing the RPC stack.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public bool UseRpcForInprocessMaster {
      get { return useRpcForInprocessMaster_; }
      set {
        useRpcForInprocessMaster_ = value;
      }
    }

    /// <summary>Field number for the "compression_algorithm" field.</summary>
    public const int CompressionAlgorithmFieldNumber = 2;
    private string compressionAlgorithm_ = "";
    /// <summary>
    /// The compression algorithm to be used. One of "deflate", "gzip".
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public string CompressionAlgorithm {
      get { return compressionAlgorithm_; }
      set {
        compressionAlgorithm_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
      }
    }

    /// <summary>Field number for the "compression_level" field.</summary>
    public const int CompressionLevelFieldNumber = 3;
    private int compressionLevel_;
    /// <summary>
    /// If compression_algorithm is set, the compression level to be used.
    /// From 0 (no compression), up to 3.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public int CompressionLevel {
      get { return compressionLevel_; }
      set {
        compressionLevel_ = value;
      }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public override bool Equals(object other) {
      return Equals(other as RPCOptions);
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public bool Equals(RPCOptions other) {
      if (ReferenceEquals(other, null)) {
        return false;
      }
      if (ReferenceEquals(other, this)) {
        return true;
      }
      if (UseRpcForInprocessMaster != other.UseRpcForInprocessMaster) return false;
      if (CompressionAlgorithm != other.CompressionAlgorithm) return false;
      if (CompressionLevel != other.CompressionLevel) return false;
      return Equals(_unknownFields, other._unknownFields);
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public override int GetHashCode() {
      int hash = 1;
      if (UseRpcForInprocessMaster != false) hash ^= UseRpcForInprocessMaster.GetHashCode();
      if (CompressionAlgorithm.Length != 0) hash ^= CompressionAlgorithm.GetHashCode();
      if (CompressionLevel != 0) hash ^= CompressionLevel.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) {
      if (UseRpcForInprocessMaster != false) {
        output.WriteRawTag(8);
        output.WriteBool(UseRpcForInprocessMaster);
      }
      if (CompressionAlgorithm.Length != 0) {
        output.WriteRawTag(18);
        output.WriteString(CompressionAlgorithm);
      }
      if (CompressionLevel != 0) {
        output.WriteRawTag(24);
        output.WriteInt32(CompressionLevel);
      }
      if (_unknownFields != null) {
        _unknownFields.WriteTo(output);
      }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public int CalculateSize() {
      int size = 0;
      if (UseRpcForInprocessMaster != false) {
        size += 1 + 1;
      }
      if (CompressionAlgorithm.Length != 0) {
        size += 1 + pb::CodedOutputStream.ComputeStringSize(CompressionAlgorithm);
      }
      if (CompressionLevel != 0) {
        size += 1 + pb::CodedOutputStream.ComputeInt32Size(CompressionLevel);
      }
      if (_unknownFields != null) {
        size += _unknownFields.CalculateSize();
      }
      return size;
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public void MergeFrom(RPCOptions other) {
      if (other == null) {
        return;
      }
      if (other.UseRpcForInprocessMaster != false) {
        UseRpcForInprocessMaster = other.UseRpcForInprocessMaster;
      }
      if (other.CompressionAlgorithm.Length != 0) {
        CompressionAlgorithm = other.CompressionAlgorithm;
      }
      if (other.CompressionLevel != 0) {
        CompressionLevel = other.CompressionLevel;
      }
      _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 8: {
            UseRpcForInprocessMaster = input.ReadBool();
            break;
          }
          case 18: {
            CompressionAlgorithm = input.ReadString();
            break;
          }
          case 24: {
            CompressionLevel = input.ReadInt32();
            break;
          }
        }
      }
    }

  }

  /// <summary>
  /// Session configuration parameters.
  /// The system picks appropriate values for fields that are not set.
  /// </summary>
  public sealed partial class ConfigProto : pb::IMessage<ConfigProto> {
    private static readonly pb::MessageParser<ConfigProto> _parser = new pb::MessageParser<ConfigProto>(() => new ConfigProto());
    private pb::UnknownFieldSet _unknownFields;
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public static pb::MessageParser<ConfigProto> Parser { get { return _parser; } }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public static pbr::MessageDescriptor Descriptor {
      get { return global::Tensorflow.ConfigReflection.Descriptor.MessageTypes[5]; }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    pbr::MessageDescriptor pb::IMessage.Descriptor {
      get { return Descriptor; }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public ConfigProto() {
      OnConstruction();
    }

    partial void OnConstruction();

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public ConfigProto(ConfigProto other) : this() {
      deviceCount_ = other.deviceCount_.Clone();
      intraOpParallelismThreads_ = other.intraOpParallelismThreads_;
      interOpParallelismThreads_ = other.interOpParallelismThreads_;
      usePerSessionThreads_ = other.usePerSessionThreads_;
      sessionInterOpThreadPool_ = other.sessionInterOpThreadPool_.Clone();
      placementPeriod_ = other.placementPeriod_;
      deviceFilters_ = other.deviceFilters_.Clone();
      gpuOptions_ = other.gpuOptions_ != null ? other.gpuOptions_.Clone() : null;
      allowSoftPlacement_ = other.allowSoftPlacement_;
      logDevicePlacement_ = other.logDevicePlacement_;
      graphOptions_ = other.graphOptions_ != null ? other.graphOptions_.Clone() : null;
      operationTimeoutInMs_ = other.operationTimeoutInMs_;
      rpcOptions_ = other.rpcOptions_ != null ? other.rpcOptions_.Clone() : null;
      clusterDef_ = other.clusterDef_ != null ? other.clusterDef_.Clone() : null;
      isolateSessionState_ = other.isolateSessionState_;
      experimental_ = other.experimental_ != null ? other.experimental_.Clone() : null;
      _unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public ConfigProto Clone() {
      return new ConfigProto(this);
    }

    /// <summary>Field number for the "device_count" field.</summary>
    public const int DeviceCountFieldNumber = 1;
    private static readonly pbc::MapField<string, int>.Codec _map_deviceCount_codec
        = new pbc::MapField<string, int>.Codec(pb::FieldCodec.ForString(10), pb::FieldCodec.ForInt32(16), 10);
    private readonly pbc::MapField<string, int> deviceCount_ = new pbc::MapField<string, int>();
    /// <summary>
    /// Map from device type name (e.g., "CPU" or "GPU" ) to maximum
    /// number of devices of that type to use.  If a particular device
    /// type is not found in the map, the system picks an appropriate
    /// number.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public pbc::MapField<string, int> DeviceCount {
      get { return deviceCount_; }
    }

    /// <summary>Field number for the "intra_op_parallelism_threads" field.</summary>
    public const int IntraOpParallelismThreadsFieldNumber = 2;
    private int intraOpParallelismThreads_;
    /// <summary>
    /// The execution of an individual op (for some op types) can be
    /// parallelized on a pool of intra_op_parallelism_threads.
    /// 0 means the system picks an appropriate number.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public int IntraOpParallelismThreads {
      get { return intraOpParallelismThreads_; }
      set {
        intraOpParallelismThreads_ = value;
      }
    }

    /// <summary>Field number for the "inter_op_parallelism_threads" field.</summary>
    public const int InterOpParallelismThreadsFieldNumber = 5;
    private int interOpParallelismThreads_;
    /// <summary>
    /// Nodes that perform blocking operations are enqueued on a pool of
    /// inter_op_parallelism_threads available in each process.
    ///
    /// 0 means the system picks an appropriate number.
    /// Negative means all operations are performed in caller's thread.
    ///
    /// Note that the first Session created in the process sets the
    /// number of threads for all future sessions unless use_per_session_threads is
    /// true or session_inter_op_thread_pool is configured.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public int InterOpParallelismThreads {
      get { return interOpParallelismThreads_; }
      set {
        interOpParallelismThreads_ = value;
      }
    }

    /// <summary>Field number for the "use_per_session_threads" field.</summary>
    public const int UsePerSessionThreadsFieldNumber = 9;
    private bool usePerSessionThreads_;
    /// <summary>
    /// If true, use a new set of threads for this session rather than the global
    /// pool of threads. Only supported by direct sessions.
    ///
    /// If false, use the global threads created by the first session, or the
    /// per-session thread pools configured by session_inter_op_thread_pool.
    ///
    /// This option is deprecated. The same effect can be achieved by setting
    /// session_inter_op_thread_pool to have one element, whose num_threads equals
    /// inter_op_parallelism_threads.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public bool UsePerSessionThreads {
      get { return usePerSessionThreads_; }
      set {
        usePerSessionThreads_ = value;
      }
    }

    /// <summary>Field number for the "session_inter_op_thread_pool" field.</summary>
    public const int SessionInterOpThreadPoolFieldNumber = 12;
    private static readonly pb::FieldCodec<global::Tensorflow.ThreadPoolOptionProto> _repeated_sessionInterOpThreadPool_codec
        = pb::FieldCodec.ForMessage(98, global::Tensorflow.ThreadPoolOptionProto.Parser);
    private readonly pbc::RepeatedField<global::Tensorflow.ThreadPoolOptionProto> sessionInterOpThreadPool_ = new pbc::RepeatedField<global::Tensorflow.ThreadPoolOptionProto>();
    /// <summary>
    /// This option is experimental - it may be replaced with a different mechanism
    /// in the future.
    ///
    /// Configures session thread pools. If this is configured, then RunOptions for
    /// a Run call can select the thread pool to use.
    ///
    /// The intended use is for when some session invocations need to run in a
    /// background pool limited to a small number of threads:
    /// - For example, a session may be configured to have one large pool (for
    /// regular compute) and one small pool (for periodic, low priority work);
    /// using the small pool is currently the mechanism for limiting the inter-op
    /// parallelism of the low priority work.  Note that it does not limit the
    /// parallelism of work spawned by a single op kernel implementation.
    /// - Using this setting is normally not needed in training, but may help some
    /// serving use cases.
    /// - It is also generally recommended to set the global_name field of this
    /// proto, to avoid creating multiple large pools. It is typically better to
    /// run the non-low-priority work, even across sessions, in a single large
    /// pool.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public pbc::RepeatedField<global::Tensorflow.ThreadPoolOptionProto> SessionInterOpThreadPool {
      get { return sessionInterOpThreadPool_; }
    }

    /// <summary>Field number for the "placement_period" field.</summary>
    public const int PlacementPeriodFieldNumber = 3;
    private int placementPeriod_;
    /// <summary>
    /// Assignment of Nodes to Devices is recomputed every placement_period
    /// steps until the system warms up (at which point the recomputation
    /// typically slows down automatically).
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public int PlacementPeriod {
      get { return placementPeriod_; }
      set {
        placementPeriod_ = value;
      }
    }

    /// <summary>Field number for the "device_filters" field.</summary>
    public const int DeviceFiltersFieldNumber = 4;
    private static readonly pb::FieldCodec<string> _repeated_deviceFilters_codec
        = pb::FieldCodec.ForString(34);
    private readonly pbc::RepeatedField<string> deviceFilters_ = new pbc::RepeatedField<string>();
    /// <summary>
    /// When any filters are present sessions will ignore all devices which do not
    /// match the filters. Each filter can be partially specified, e.g. "/job:ps"
    /// "/job:worker/replica:3", etc.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public pbc::RepeatedField<string> DeviceFilters {
      get { return deviceFilters_; }
    }

    /// <summary>Field number for the "gpu_options" field.</summary>
    public const int GpuOptionsFieldNumber = 6;
    private global::Tensorflow.GPUOptions gpuOptions_;
    /// <summary>
    /// Options that apply to all GPUs.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public global::Tensorflow.GPUOptions GpuOptions {
      get { return gpuOptions_; }
      set {
        gpuOptions_ = value;
      }
    }

    /// <summary>Field number for the "allow_soft_placement" field.</summary>
    public const int AllowSoftPlacementFieldNumber = 7;
    private bool allowSoftPlacement_;
    /// <summary>
    /// Whether soft placement is allowed. If allow_soft_placement is true,
    /// an op will be placed on CPU if
    ///   1. there's no GPU implementation for the OP
    /// or
    ///   2. no GPU devices are known or registered
    /// or
    ///   3. need to co-locate with reftype input(s) which are from CPU.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public bool AllowSoftPlacement {
      get { return allowSoftPlacement_; }
      set {
        allowSoftPlacement_ = value;
      }
    }

    /// <summary>Field number for the "log_device_placement" field.</summary>
    public const int LogDevicePlacementFieldNumber = 8;
    private bool logDevicePlacement_;
    /// <summary>
    /// Whether device placements should be logged.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public bool LogDevicePlacement {
      get { return logDevicePlacement_; }
      set {
        logDevicePlacement_ = value;
      }
    }

    /// <summary>Field number for the "graph_options" field.</summary>
    public const int GraphOptionsFieldNumber = 10;
    private global::Tensorflow.GraphOptions graphOptions_;
    /// <summary>
    /// Options that apply to all graphs.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public global::Tensorflow.GraphOptions GraphOptions {
      get { return graphOptions_; }
      set {
        graphOptions_ = value;
      }
    }

    /// <summary>Field number for the "operation_timeout_in_ms" field.</summary>
    public const int OperationTimeoutInMsFieldNumber = 11;
    private long operationTimeoutInMs_;
    /// <summary>
    /// Global timeout for all blocking operations in this session.  If non-zero,
    /// and not overridden on a per-operation basis, this value will be used as the
    /// deadline for all blocking operations.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public long OperationTimeoutInMs {
      get { return operationTimeoutInMs_; }
      set {
        operationTimeoutInMs_ = value;
      }
    }

    /// <summary>Field number for the "rpc_options" field.</summary>
    public const int RpcOptionsFieldNumber = 13;
    private global::Tensorflow.RPCOptions rpcOptions_;
    /// <summary>
    /// Options that apply when this session uses the distributed runtime.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public global::Tensorflow.RPCOptions RpcOptions {
      get { return rpcOptions_; }
      set {
        rpcOptions_ = value;
      }
    }

    /// <summary>Field number for the "cluster_def" field.</summary>
    public const int ClusterDefFieldNumber = 14;
    private global::Tensorflow.ClusterDef clusterDef_;
    /// <summary>
    /// Optional list of all workers to use in this session.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public global::Tensorflow.ClusterDef ClusterDef {
      get { return clusterDef_; }
      set {
        clusterDef_ = value;
      }
    }

    /// <summary>Field number for the "isolate_session_state" field.</summary>
    public const int IsolateSessionStateFieldNumber = 15;
    private bool isolateSessionState_;
    /// <summary>
    /// If true, any resources such as Variables used in the session will not be
    /// shared with other sessions. However, when clusterspec propagation is
    /// enabled, this field is ignored and sessions are always isolated.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public bool IsolateSessionState {
      get { return isolateSessionState_; }
      set {
        isolateSessionState_ = value;
      }
    }

    /// <summary>Field number for the "experimental" field.</summary>
    public const int ExperimentalFieldNumber = 16;
    private global::Tensorflow.ConfigProto.Types.Experimental experimental_;
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public global::Tensorflow.ConfigProto.Types.Experimental Experimental {
      get { return experimental_; }
      set {
        experimental_ = value;
      }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public override bool Equals(object other) {
      return Equals(other as ConfigProto);
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public bool Equals(ConfigProto other) {
      if (ReferenceEquals(other, null)) {
        return false;
      }
      if (ReferenceEquals(other, this)) {
        return true;
      }
      if (!DeviceCount.Equals(other.DeviceCount)) return false;
      if (IntraOpParallelismThreads != other.IntraOpParallelismThreads) return false;
      if (InterOpParallelismThreads != other.InterOpParallelismThreads) return false;
      if (UsePerSessionThreads != other.UsePerSessionThreads) return false;
      if(!sessionInterOpThreadPool_.Equals(other.sessionInterOpThreadPool_)) return false;
      if (PlacementPeriod != other.PlacementPeriod) return false;
      if(!deviceFilters_.Equals(other.deviceFilters_)) return false;
      if (!object.Equals(GpuOptions, other.GpuOptions)) return false;
      if (AllowSoftPlacement != other.AllowSoftPlacement) return false;
      if (LogDevicePlacement != other.LogDevicePlacement) return false;
      if (!object.Equals(GraphOptions, other.GraphOptions)) return false;
      if (OperationTimeoutInMs != other.OperationTimeoutInMs) return false;
      if (!object.Equals(RpcOptions, other.RpcOptions)) return false;
      if (!object.Equals(ClusterDef, other.ClusterDef)) return false;
      if (IsolateSessionState != other.IsolateSessionState) return false;
      if (!object.Equals(Experimental, other.Experimental)) return false;
      return Equals(_unknownFields, other._unknownFields);
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public override int GetHashCode() {
      int hash = 1;
      hash ^= DeviceCount.GetHashCode();
      if (IntraOpParallelismThreads != 0) hash ^= IntraOpParallelismThreads.GetHashCode();
      if (InterOpParallelismThreads != 0) hash ^= InterOpParallelismThreads.GetHashCode();
      if (UsePerSessionThreads != false) hash ^= UsePerSessionThreads.GetHashCode();
      hash ^= sessionInterOpThreadPool_.GetHashCode();
      if (PlacementPeriod != 0) hash ^= PlacementPeriod.GetHashCode();
      hash ^= deviceFilters_.GetHashCode();
      if (gpuOptions_ != null) hash ^= GpuOptions.GetHashCode();
      if (AllowSoftPlacement != false) hash ^= AllowSoftPlacement.GetHashCode();
      if (LogDevicePlacement != false) hash ^= LogDevicePlacement.GetHashCode();
      if (graphOptions_ != null) hash ^= GraphOptions.GetHashCode();
      if (OperationTimeoutInMs != 0L) hash ^= OperationTimeoutInMs.GetHashCode();
      if (rpcOptions_ != null) hash ^= RpcOptions.GetHashCode();
      if (clusterDef_ != null) hash ^= ClusterDef.GetHashCode();
      if (IsolateSessionState != false) hash ^= IsolateSessionState.GetHashCode();
      if (experimental_ != null) hash ^= Experimental.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) {
      deviceCount_.WriteTo(output, _map_deviceCount_codec);
      if (IntraOpParallelismThreads != 0) {
        output.WriteRawTag(16);
        output.WriteInt32(IntraOpParallelismThreads);
      }
      if (PlacementPeriod != 0) {
        output.WriteRawTag(24);
        output.WriteInt32(PlacementPeriod);
      }
      deviceFilters_.WriteTo(output, _repeated_deviceFilters_codec);
      if (InterOpParallelismThreads != 0) {
        output.WriteRawTag(40);
        output.WriteInt32(InterOpParallelismThreads);
      }
      if (gpuOptions_ != null) {
        output.WriteRawTag(50);
        output.WriteMessage(GpuOptions);
      }
      if (AllowSoftPlacement != false) {
        output.WriteRawTag(56);
        output.WriteBool(AllowSoftPlacement);
      }
      if (LogDevicePlacement != false) {
        output.WriteRawTag(64);
        output.WriteBool(LogDevicePlacement);
      }
      if (UsePerSessionThreads != false) {
        output.WriteRawTag(72);
        output.WriteBool(UsePerSessionThreads);
      }
      if (graphOptions_ != null) {
        output.WriteRawTag(82);
        output.WriteMessage(GraphOptions);
      }
      if (OperationTimeoutInMs != 0L) {
        output.WriteRawTag(88);
        output.WriteInt64(OperationTimeoutInMs);
      }
      sessionInterOpThreadPool_.WriteTo(output, _repeated_sessionInterOpThreadPool_codec);
      if (rpcOptions_ != null) {
        output.WriteRawTag(106);
        output.WriteMessage(RpcOptions);
      }
      if (clusterDef_ != null) {
        output.WriteRawTag(114);
        output.WriteMessage(ClusterDef);
      }
      if (IsolateSessionState != false) {
        output.WriteRawTag(120);
        output.WriteBool(IsolateSessionState);
      }
      if (experimental_ != null) {
        output.WriteRawTag(130, 1);
        output.WriteMessage(Experimental);
      }
      if (_unknownFields != null) {
        _unknownFields.WriteTo(output);
      }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public int CalculateSize() {
      int size = 0;
      size += deviceCount_.CalculateSize(_map_deviceCount_codec);
      if (IntraOpParallelismThreads != 0) {
        size += 1 + pb::CodedOutputStream.ComputeInt32Size(IntraOpParallelismThreads);
      }
      if (InterOpParallelismThreads != 0) {
        size += 1 + pb::CodedOutputStream.ComputeInt32Size(InterOpParallelismThreads);
      }
      if (UsePerSessionThreads != false) {
        size += 1 + 1;
      }
      size += sessionInterOpThreadPool_.CalculateSize(_repeated_sessionInterOpThreadPool_codec);
      if (PlacementPeriod != 0) {
        size += 1 + pb::CodedOutputStream.ComputeInt32Size(PlacementPeriod);
      }
      size += deviceFilters_.CalculateSize(_repeated_deviceFilters_codec);
      if (gpuOptions_ != null) {
        size += 1 + pb::CodedOutputStream.ComputeMessageSize(GpuOptions);
      }
      if (AllowSoftPlacement != false) {
        size += 1 + 1;
      }
      if (LogDevicePlacement != false) {
        size += 1 + 1;
      }
      if (graphOptions_ != null) {
        size += 1 + pb::CodedOutputStream.ComputeMessageSize(GraphOptions);
      }
      if (OperationTimeoutInMs != 0L) {
        size += 1 + pb::CodedOutputStream.ComputeInt64Size(OperationTimeoutInMs);
      }
      if (rpcOptions_ != null) {
        size += 1 + pb::CodedOutputStream.ComputeMessageSize(RpcOptions);
      }
      if (clusterDef_ != null) {
        size += 1 + pb::CodedOutputStream.ComputeMessageSize(ClusterDef);
      }
      if (IsolateSessionState != false) {
        size += 1 + 1;
      }
      if (experimental_ != null) {
        size += 2 + pb::CodedOutputStream.ComputeMessageSize(Experimental);
      }
      if (_unknownFields != null) {
        size += _unknownFields.CalculateSize();
      }
      return size;
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public void MergeFrom(ConfigProto other) {
      if (other == null) {
        return;
      }
      deviceCount_.Add(other.deviceCount_);
      if (other.IntraOpParallelismThreads != 0) {
        IntraOpParallelismThreads = other.IntraOpParallelismThreads;
      }
      if (other.InterOpParallelismThreads != 0) {
        InterOpParallelismThreads = other.InterOpParallelismThreads;
      }
      if (other.UsePerSessionThreads != false) {
        UsePerSessionThreads = other.UsePerSessionThreads;
      }
      sessionInterOpThreadPool_.Add(other.sessionInterOpThreadPool_);
      if (other.PlacementPeriod != 0) {
        PlacementPeriod = other.PlacementPeriod;
      }
      deviceFilters_.Add(other.deviceFilters_);
      if (other.gpuOptions_ != null) {
        if (gpuOptions_ == null) {
          gpuOptions_ = new global::Tensorflow.GPUOptions();
        }
        GpuOptions.MergeFrom(other.GpuOptions);
      }
      if (other.AllowSoftPlacement != false) {
        AllowSoftPlacement = other.AllowSoftPlacement;
      }
      if (other.LogDevicePlacement != false) {
        LogDevicePlacement = other.LogDevicePlacement;
      }
      if (other.graphOptions_ != null) {
        if (graphOptions_ == null) {
          graphOptions_ = new global::Tensorflow.GraphOptions();
        }
        GraphOptions.MergeFrom(other.GraphOptions);
      }
      if (other.OperationTimeoutInMs != 0L) {
        OperationTimeoutInMs = other.OperationTimeoutInMs;
      }
      if (other.rpcOptions_ != null) {
        if (rpcOptions_ == null) {
          rpcOptions_ = new global::Tensorflow.RPCOptions();
        }
        RpcOptions.MergeFrom(other.RpcOptions);
      }
      if (other.clusterDef_ != null) {
        if (clusterDef_ == null) {
          clusterDef_ = new global::Tensorflow.ClusterDef();
        }
        ClusterDef.MergeFrom(other.ClusterDef);
      }
      if (other.IsolateSessionState != false) {
        IsolateSessionState = other.IsolateSessionState;
      }
      if (other.experimental_ != null) {
        if (experimental_ == null) {
          experimental_ = new global::Tensorflow.ConfigProto.Types.Experimental();
        }
        Experimental.MergeFrom(other.Experimental);
      }
      _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 10: {
            deviceCount_.AddEntriesFrom(input, _map_deviceCount_codec);
            break;
          }
          case 16: {
            IntraOpParallelismThreads = input.ReadInt32();
            break;
          }
          case 24: {
            PlacementPeriod = input.ReadInt32();
            break;
          }
          case 34: {
            deviceFilters_.AddEntriesFrom(input, _repeated_deviceFilters_codec);
            break;
          }
          case 40: {
            InterOpParallelismThreads = input.ReadInt32();
            break;
          }
          case 50: {
            if (gpuOptions_ == null) {
              gpuOptions_ = new global::Tensorflow.GPUOptions();
            }
            input.ReadMessage(gpuOptions_);
            break;
          }
          case 56: {
            AllowSoftPlacement = input.ReadBool();
            break;
          }
          case 64: {
            LogDevicePlacement = input.ReadBool();
            break;
          }
          case 72: {
            UsePerSessionThreads = input.ReadBool();
            break;
          }
          case 82: {
            if (graphOptions_ == null) {
              graphOptions_ = new global::Tensorflow.GraphOptions();
            }
            input.ReadMessage(graphOptions_);
            break;
          }
          case 88: {
            OperationTimeoutInMs = input.ReadInt64();
            break;
          }
          case 98: {
            sessionInterOpThreadPool_.AddEntriesFrom(input, _repeated_sessionInterOpThreadPool_codec);
            break;
          }
          case 106: {
            if (rpcOptions_ == null) {
              rpcOptions_ = new global::Tensorflow.RPCOptions();
            }
            input.ReadMessage(rpcOptions_);
            break;
          }
          case 114: {
            if (clusterDef_ == null) {
              clusterDef_ = new global::Tensorflow.ClusterDef();
            }
            input.ReadMessage(clusterDef_);
            break;
          }
          case 120: {
            IsolateSessionState = input.ReadBool();
            break;
          }
          case 130: {
            if (experimental_ == null) {
              experimental_ = new global::Tensorflow.ConfigProto.Types.Experimental();
            }
            input.ReadMessage(experimental_);
            break;
          }
        }
      }
    }

    #region Nested types
    /// <summary>Container for nested types declared in the ConfigProto message type.</summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public static partial class Types {
      /// <summary>
      /// Everything inside Experimental is subject to change and is not subject
      /// to API stability guarantees in
      /// https://www.tensorflow.org/guide/version_compat.
      /// </summary>
      public sealed partial class Experimental : pb::IMessage<Experimental> {
        private static readonly pb::MessageParser<Experimental> _parser = new pb::MessageParser<Experimental>(() => new Experimental());
        private pb::UnknownFieldSet _unknownFields;
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public static pb::MessageParser<Experimental> Parser { get { return _parser; } }

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public static pbr::MessageDescriptor Descriptor {
          get { return global::Tensorflow.ConfigProto.Descriptor.NestedTypes[1]; }
        }

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        pbr::MessageDescriptor pb::IMessage.Descriptor {
          get { return Descriptor; }
        }

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public Experimental() {
          OnConstruction();
        }

        partial void OnConstruction();

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public Experimental(Experimental other) : this() {
          collectiveGroupLeader_ = other.collectiveGroupLeader_;
          executorType_ = other.executorType_;
          recvBufMaxChunk_ = other.recvBufMaxChunk_;
          useNumaAffinity_ = other.useNumaAffinity_;
          collectiveDeterministicSequentialExecution_ = other.collectiveDeterministicSequentialExecution_;
          collectiveNccl_ = other.collectiveNccl_;
          shareSessionStateInClusterspecPropagation_ = other.shareSessionStateInClusterspecPropagation_;
          disableThreadSpinning_ = other.disableThreadSpinning_;
          shareClusterDevicesInSession_ = other.shareClusterDevicesInSession_;
          _unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
        }

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public Experimental Clone() {
          return new Experimental(this);
        }

        /// <summary>Field number for the "collective_group_leader" field.</summary>
        public const int CollectiveGroupLeaderFieldNumber = 1;
        private string collectiveGroupLeader_ = "";
        /// <summary>
        /// Task name for group resolution.
        /// </summary>
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public string CollectiveGroupLeader {
          get { return collectiveGroupLeader_; }
          set {
            collectiveGroupLeader_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
          }
        }

        /// <summary>Field number for the "executor_type" field.</summary>
        public const int ExecutorTypeFieldNumber = 3;
        private string executorType_ = "";
        /// <summary>
        /// Which executor to use, the default executor will be used
        /// if it is an empty string or "DEFAULT"
        /// </summary>
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public string ExecutorType {
          get { return executorType_; }
          set {
            executorType_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
          }
        }

        /// <summary>Field number for the "recv_buf_max_chunk" field.</summary>
        public const int RecvBufMaxChunkFieldNumber = 4;
        private int recvBufMaxChunk_;
        /// <summary>
        /// Guidance to formatting of large RecvBuf fields for transfer.
        /// Any positive value sets the max chunk size.  0 defaults to 4096.
        /// Any negative value indicates no max, i.e. one chunk only.
        /// </summary>
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public int RecvBufMaxChunk {
          get { return recvBufMaxChunk_; }
          set {
            recvBufMaxChunk_ = value;
          }
        }

        /// <summary>Field number for the "use_numa_affinity" field.</summary>
        public const int UseNumaAffinityFieldNumber = 5;
        private bool useNumaAffinity_;
        /// <summary>
        /// If true, and supported by the platform, the runtime will attempt to
        /// use NUMA affinity where applicable.  One consequence will be the
        /// existence of as many CPU devices as there are available NUMA nodes.
        /// </summary>
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public bool UseNumaAffinity {
          get { return useNumaAffinity_; }
          set {
            useNumaAffinity_ = value;
          }
        }

        /// <summary>Field number for the "collective_deterministic_sequential_execution" field.</summary>
        public const int CollectiveDeterministicSequentialExecutionFieldNumber = 6;
        private bool collectiveDeterministicSequentialExecution_;
        /// <summary>
        /// If true, make collective op execution order sequential and deterministic
        /// for potentially concurrent collective instances.
        /// </summary>
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public bool CollectiveDeterministicSequentialExecution {
          get { return collectiveDeterministicSequentialExecution_; }
          set {
            collectiveDeterministicSequentialExecution_ = value;
          }
        }

        /// <summary>Field number for the "collective_nccl" field.</summary>
        public const int CollectiveNcclFieldNumber = 7;
        private bool collectiveNccl_;
        /// <summary>
        /// If true, use NCCL for CollectiveOps.  This feature is highly
        /// experimental.
        /// </summary>
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public bool CollectiveNccl {
          get { return collectiveNccl_; }
          set {
            collectiveNccl_ = value;
          }
        }

        /// <summary>Field number for the "share_session_state_in_clusterspec_propagation" field.</summary>
        public const int ShareSessionStateInClusterspecPropagationFieldNumber = 8;
        private bool shareSessionStateInClusterspecPropagation_;
        /// <summary>
        /// In the following, session state means the value of a variable, elements
        /// in a hash table, or any other resource, accessible by worker sessions
        /// held by a TF server.
        ///
        /// When ClusterSpec propagation is enabled, the value of
        /// isolate_session_state is ignored when deciding whether to share session
        /// states in a TF server (for backwards compatibility reasons).
        /// - If share_session_state_in_clusterspec_propagation is true, the session
        /// states are shared.
        /// - If share_session_state_in_clusterspec_propagation is false, session
        /// states are isolated.
        ///
        /// When clusterspec propagation is not used, the value of
        /// share_session_state_in_clusterspec_propagation is ignored when deciding
        /// whether to share session states in a TF server.
        /// - If isolate_session_state is true, session states are isolated.
        /// - If isolate_session_state is false, session states are shared.
        ///
        /// TODO(b/129330037): Add a single API that consistently treats
        /// isolate_session_state and ClusterSpec propagation.
        /// </summary>
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public bool ShareSessionStateInClusterspecPropagation {
          get { return shareSessionStateInClusterspecPropagation_; }
          set {
            shareSessionStateInClusterspecPropagation_ = value;
          }
        }

        /// <summary>Field number for the "disable_thread_spinning" field.</summary>
        public const int DisableThreadSpinningFieldNumber = 9;
        private bool disableThreadSpinning_;
        /// <summary>
        /// If using a direct session, disable spinning while waiting for work in
        /// the thread pool. This may result in higher latency for completing ops,
        /// but in the case where there is a lot of spinning may result in lower
        /// CPU usage.
        /// </summary>
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public bool DisableThreadSpinning {
          get { return disableThreadSpinning_; }
          set {
            disableThreadSpinning_ = value;
          }
        }

        /// <summary>Field number for the "share_cluster_devices_in_session" field.</summary>
        public const int ShareClusterDevicesInSessionFieldNumber = 10;
        private bool shareClusterDevicesInSession_;
        /// <summary>
        /// When true, WorkerSessions are created with device attributes from the
        /// full cluster.
        /// This is helpful when a worker wants to partition a graph
        /// (for example during a PartitionedCallOp).
        /// </summary>
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public bool ShareClusterDevicesInSession {
          get { return shareClusterDevicesInSession_; }
          set {
            shareClusterDevicesInSession_ = value;
          }
        }

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public override bool Equals(object other) {
          return Equals(other as Experimental);
        }

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public bool Equals(Experimental other) {
          if (ReferenceEquals(other, null)) {
            return false;
          }
          if (ReferenceEquals(other, this)) {
            return true;
          }
          if (CollectiveGroupLeader != other.CollectiveGroupLeader) return false;
          if (ExecutorType != other.ExecutorType) return false;
          if (RecvBufMaxChunk != other.RecvBufMaxChunk) return false;
          if (UseNumaAffinity != other.UseNumaAffinity) return false;
          if (CollectiveDeterministicSequentialExecution != other.CollectiveDeterministicSequentialExecution) return false;
          if (CollectiveNccl != other.CollectiveNccl) return false;
          if (ShareSessionStateInClusterspecPropagation != other.ShareSessionStateInClusterspecPropagation) return false;
          if (DisableThreadSpinning != other.DisableThreadSpinning) return false;
          if (ShareClusterDevicesInSession != other.ShareClusterDevicesInSession) return false;
          return Equals(_unknownFields, other._unknownFields);
        }

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public override int GetHashCode() {
          int hash = 1;
          if (CollectiveGroupLeader.Length != 0) hash ^= CollectiveGroupLeader.GetHashCode();
          if (ExecutorType.Length != 0) hash ^= ExecutorType.GetHashCode();
          if (RecvBufMaxChunk != 0) hash ^= RecvBufMaxChunk.GetHashCode();
          if (UseNumaAffinity != false) hash ^= UseNumaAffinity.GetHashCode();
          if (CollectiveDeterministicSequentialExecution != false) hash ^= CollectiveDeterministicSequentialExecution.GetHashCode();
          if (CollectiveNccl != false) hash ^= CollectiveNccl.GetHashCode();
          if (ShareSessionStateInClusterspecPropagation != false) hash ^= ShareSessionStateInClusterspecPropagation.GetHashCode();
          if (DisableThreadSpinning != false) hash ^= DisableThreadSpinning.GetHashCode();
          if (ShareClusterDevicesInSession != false) hash ^= ShareClusterDevicesInSession.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) {
          if (CollectiveGroupLeader.Length != 0) {
            output.WriteRawTag(10);
            output.WriteString(CollectiveGroupLeader);
          }
          if (ExecutorType.Length != 0) {
            output.WriteRawTag(26);
            output.WriteString(ExecutorType);
          }
          if (RecvBufMaxChunk != 0) {
            output.WriteRawTag(32);
            output.WriteInt32(RecvBufMaxChunk);
          }
          if (UseNumaAffinity != false) {
            output.WriteRawTag(40);
            output.WriteBool(UseNumaAffinity);
          }
          if (CollectiveDeterministicSequentialExecution != false) {
            output.WriteRawTag(48);
            output.WriteBool(CollectiveDeterministicSequentialExecution);
          }
          if (CollectiveNccl != false) {
            output.WriteRawTag(56);
            output.WriteBool(CollectiveNccl);
          }
          if (ShareSessionStateInClusterspecPropagation != false) {
            output.WriteRawTag(64);
            output.WriteBool(ShareSessionStateInClusterspecPropagation);
          }
          if (DisableThreadSpinning != false) {
            output.WriteRawTag(72);
            output.WriteBool(DisableThreadSpinning);
          }
          if (ShareClusterDevicesInSession != false) {
            output.WriteRawTag(80);
            output.WriteBool(ShareClusterDevicesInSession);
          }
          if (_unknownFields != null) {
            _unknownFields.WriteTo(output);
          }
        }

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public int CalculateSize() {
          int size = 0;
          if (CollectiveGroupLeader.Length != 0) {
            size += 1 + pb::CodedOutputStream.ComputeStringSize(CollectiveGroupLeader);
          }
          if (ExecutorType.Length != 0) {
            size += 1 + pb::CodedOutputStream.ComputeStringSize(ExecutorType);
          }
          if (RecvBufMaxChunk != 0) {
            size += 1 + pb::CodedOutputStream.ComputeInt32Size(RecvBufMaxChunk);
          }
          if (UseNumaAffinity != false) {
            size += 1 + 1;
          }
          if (CollectiveDeterministicSequentialExecution != false) {
            size += 1 + 1;
          }
          if (CollectiveNccl != false) {
            size += 1 + 1;
          }
          if (ShareSessionStateInClusterspecPropagation != false) {
            size += 1 + 1;
          }
          if (DisableThreadSpinning != false) {
            size += 1 + 1;
          }
          if (ShareClusterDevicesInSession != false) {
            size += 1 + 1;
          }
          if (_unknownFields != null) {
            size += _unknownFields.CalculateSize();
          }
          return size;
        }

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public void MergeFrom(Experimental other) {
          if (other == null) {
            return;
          }
          if (other.CollectiveGroupLeader.Length != 0) {
            CollectiveGroupLeader = other.CollectiveGroupLeader;
          }
          if (other.ExecutorType.Length != 0) {
            ExecutorType = other.ExecutorType;
          }
          if (other.RecvBufMaxChunk != 0) {
            RecvBufMaxChunk = other.RecvBufMaxChunk;
          }
          if (other.UseNumaAffinity != false) {
            UseNumaAffinity = other.UseNumaAffinity;
          }
          if (other.CollectiveDeterministicSequentialExecution != false) {
            CollectiveDeterministicSequentialExecution = other.CollectiveDeterministicSequentialExecution;
          }
          if (other.CollectiveNccl != false) {
            CollectiveNccl = other.CollectiveNccl;
          }
          if (other.ShareSessionStateInClusterspecPropagation != false) {
            ShareSessionStateInClusterspecPropagation = other.ShareSessionStateInClusterspecPropagation;
          }
          if (other.DisableThreadSpinning != false) {
            DisableThreadSpinning = other.DisableThreadSpinning;
          }
          if (other.ShareClusterDevicesInSession != false) {
            ShareClusterDevicesInSession = other.ShareClusterDevicesInSession;
          }
          _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 10: {
                CollectiveGroupLeader = input.ReadString();
                break;
              }
              case 26: {
                ExecutorType = input.ReadString();
                break;
              }
              case 32: {
                RecvBufMaxChunk = input.ReadInt32();
                break;
              }
              case 40: {
                UseNumaAffinity = input.ReadBool();
                break;
              }
              case 48: {
                CollectiveDeterministicSequentialExecution = input.ReadBool();
                break;
              }
              case 56: {
                CollectiveNccl = input.ReadBool();
                break;
              }
              case 64: {
                ShareSessionStateInClusterspecPropagation = input.ReadBool();
                break;
              }
              case 72: {
                DisableThreadSpinning = input.ReadBool();
                break;
              }
              case 80: {
                ShareClusterDevicesInSession = input.ReadBool();
                break;
              }
            }
          }
        }

      }

    }
    #endregion

  }

  /// <summary>
  /// Options for a single Run() call.
  /// </summary>
  public sealed partial class RunOptions : pb::IMessage<RunOptions> {
    private static readonly pb::MessageParser<RunOptions> _parser = new pb::MessageParser<RunOptions>(() => new RunOptions());
    private pb::UnknownFieldSet _unknownFields;
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public static pb::MessageParser<RunOptions> Parser { get { return _parser; } }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public static pbr::MessageDescriptor Descriptor {
      get { return global::Tensorflow.ConfigReflection.Descriptor.MessageTypes[6]; }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    pbr::MessageDescriptor pb::IMessage.Descriptor {
      get { return Descriptor; }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public RunOptions() {
      OnConstruction();
    }

    partial void OnConstruction();

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public RunOptions(RunOptions other) : this() {
      traceLevel_ = other.traceLevel_;
      timeoutInMs_ = other.timeoutInMs_;
      interOpThreadPool_ = other.interOpThreadPool_;
      outputPartitionGraphs_ = other.outputPartitionGraphs_;
      debugOptions_ = other.debugOptions_ != null ? other.debugOptions_.Clone() : null;
      reportTensorAllocationsUponOom_ = other.reportTensorAllocationsUponOom_;
      experimental_ = other.experimental_ != null ? other.experimental_.Clone() : null;
      _unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public RunOptions Clone() {
      return new RunOptions(this);
    }

    /// <summary>Field number for the "trace_level" field.</summary>
    public const int TraceLevelFieldNumber = 1;
    private global::Tensorflow.RunOptions.Types.TraceLevel traceLevel_ = 0;
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public global::Tensorflow.RunOptions.Types.TraceLevel TraceLevel {
      get { return traceLevel_; }
      set {
        traceLevel_ = value;
      }
    }

    /// <summary>Field number for the "timeout_in_ms" field.</summary>
    public const int TimeoutInMsFieldNumber = 2;
    private long timeoutInMs_;
    /// <summary>
    /// Time to wait for operation to complete in milliseconds.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public long TimeoutInMs {
      get { return timeoutInMs_; }
      set {
        timeoutInMs_ = value;
      }
    }

    /// <summary>Field number for the "inter_op_thread_pool" field.</summary>
    public const int InterOpThreadPoolFieldNumber = 3;
    private int interOpThreadPool_;
    /// <summary>
    /// The thread pool to use, if session_inter_op_thread_pool is configured.
    /// To use the caller thread set this to -1 - this uses the caller thread
    /// to execute Session::Run() and thus avoids a context switch. Using the
    /// caller thread to execute Session::Run() should be done ONLY for simple
    /// graphs, where the overhead of an additional context switch is
    /// comparable with the overhead of Session::Run().
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public int InterOpThreadPool {
      get { return interOpThreadPool_; }
      set {
        interOpThreadPool_ = value;
      }
    }

    /// <summary>Field number for the "output_partition_graphs" field.</summary>
    public const int OutputPartitionGraphsFieldNumber = 5;
    private bool outputPartitionGraphs_;
    /// <summary>
    /// Whether the partition graph(s) executed by the executor(s) should be
    /// outputted via RunMetadata.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public bool OutputPartitionGraphs {
      get { return outputPartitionGraphs_; }
      set {
        outputPartitionGraphs_ = value;
      }
    }

    /// <summary>Field number for the "debug_options" field.</summary>
    public const int DebugOptionsFieldNumber = 6;
    private global::Tensorflow.DebugOptions debugOptions_;
    /// <summary>
    /// EXPERIMENTAL.  Options used to initialize DebuggerState, if enabled.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public global::Tensorflow.DebugOptions DebugOptions {
      get { return debugOptions_; }
      set {
        debugOptions_ = value;
      }
    }

    /// <summary>Field number for the "report_tensor_allocations_upon_oom" field.</summary>
    public const int ReportTensorAllocationsUponOomFieldNumber = 7;
    private bool reportTensorAllocationsUponOom_;
    /// <summary>
    /// When enabled, causes tensor allocation information to be included in
    /// the error message when the Run() call fails because the allocator ran
    /// out of memory (OOM).
    ///
    /// Enabling this option can slow down the Run() call.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public bool ReportTensorAllocationsUponOom {
      get { return reportTensorAllocationsUponOom_; }
      set {
        reportTensorAllocationsUponOom_ = value;
      }
    }

    /// <summary>Field number for the "experimental" field.</summary>
    public const int ExperimentalFieldNumber = 8;
    private global::Tensorflow.RunOptions.Types.Experimental experimental_;
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public global::Tensorflow.RunOptions.Types.Experimental Experimental {
      get { return experimental_; }
      set {
        experimental_ = value;
      }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public override bool Equals(object other) {
      return Equals(other as RunOptions);
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public bool Equals(RunOptions other) {
      if (ReferenceEquals(other, null)) {
        return false;
      }
      if (ReferenceEquals(other, this)) {
        return true;
      }
      if (TraceLevel != other.TraceLevel) return false;
      if (TimeoutInMs != other.TimeoutInMs) return false;
      if (InterOpThreadPool != other.InterOpThreadPool) return false;
      if (OutputPartitionGraphs != other.OutputPartitionGraphs) return false;
      if (!object.Equals(DebugOptions, other.DebugOptions)) return false;
      if (ReportTensorAllocationsUponOom != other.ReportTensorAllocationsUponOom) return false;
      if (!object.Equals(Experimental, other.Experimental)) return false;
      return Equals(_unknownFields, other._unknownFields);
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public override int GetHashCode() {
      int hash = 1;
      if (TraceLevel != 0) hash ^= TraceLevel.GetHashCode();
      if (TimeoutInMs != 0L) hash ^= TimeoutInMs.GetHashCode();
      if (InterOpThreadPool != 0) hash ^= InterOpThreadPool.GetHashCode();
      if (OutputPartitionGraphs != false) hash ^= OutputPartitionGraphs.GetHashCode();
      if (debugOptions_ != null) hash ^= DebugOptions.GetHashCode();
      if (ReportTensorAllocationsUponOom != false) hash ^= ReportTensorAllocationsUponOom.GetHashCode();
      if (experimental_ != null) hash ^= Experimental.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) {
      if (TraceLevel != 0) {
        output.WriteRawTag(8);
        output.WriteEnum((int) TraceLevel);
      }
      if (TimeoutInMs != 0L) {
        output.WriteRawTag(16);
        output.WriteInt64(TimeoutInMs);
      }
      if (InterOpThreadPool != 0) {
        output.WriteRawTag(24);
        output.WriteInt32(InterOpThreadPool);
      }
      if (OutputPartitionGraphs != false) {
        output.WriteRawTag(40);
        output.WriteBool(OutputPartitionGraphs);
      }
      if (debugOptions_ != null) {
        output.WriteRawTag(50);
        output.WriteMessage(DebugOptions);
      }
      if (ReportTensorAllocationsUponOom != false) {
        output.WriteRawTag(56);
        output.WriteBool(ReportTensorAllocationsUponOom);
      }
      if (experimental_ != null) {
        output.WriteRawTag(66);
        output.WriteMessage(Experimental);
      }
      if (_unknownFields != null) {
        _unknownFields.WriteTo(output);
      }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public int CalculateSize() {
      int size = 0;
      if (TraceLevel != 0) {
        size += 1 + pb::CodedOutputStream.ComputeEnumSize((int) TraceLevel);
      }
      if (TimeoutInMs != 0L) {
        size += 1 + pb::CodedOutputStream.ComputeInt64Size(TimeoutInMs);
      }
      if (InterOpThreadPool != 0) {
        size += 1 + pb::CodedOutputStream.ComputeInt32Size(InterOpThreadPool);
      }
      if (OutputPartitionGraphs != false) {
        size += 1 + 1;
      }
      if (debugOptions_ != null) {
        size += 1 + pb::CodedOutputStream.ComputeMessageSize(DebugOptions);
      }
      if (ReportTensorAllocationsUponOom != false) {
        size += 1 + 1;
      }
      if (experimental_ != null) {
        size += 1 + pb::CodedOutputStream.ComputeMessageSize(Experimental);
      }
      if (_unknownFields != null) {
        size += _unknownFields.CalculateSize();
      }
      return size;
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public void MergeFrom(RunOptions other) {
      if (other == null) {
        return;
      }
      if (other.TraceLevel != 0) {
        TraceLevel = other.TraceLevel;
      }
      if (other.TimeoutInMs != 0L) {
        TimeoutInMs = other.TimeoutInMs;
      }
      if (other.InterOpThreadPool != 0) {
        InterOpThreadPool = other.InterOpThreadPool;
      }
      if (other.OutputPartitionGraphs != false) {
        OutputPartitionGraphs = other.OutputPartitionGraphs;
      }
      if (other.debugOptions_ != null) {
        if (debugOptions_ == null) {
          debugOptions_ = new global::Tensorflow.DebugOptions();
        }
        DebugOptions.MergeFrom(other.DebugOptions);
      }
      if (other.ReportTensorAllocationsUponOom != false) {
        ReportTensorAllocationsUponOom = other.ReportTensorAllocationsUponOom;
      }
      if (other.experimental_ != null) {
        if (experimental_ == null) {
          experimental_ = new global::Tensorflow.RunOptions.Types.Experimental();
        }
        Experimental.MergeFrom(other.Experimental);
      }
      _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 8: {
            traceLevel_ = (global::Tensorflow.RunOptions.Types.TraceLevel) input.ReadEnum();
            break;
          }
          case 16: {
            TimeoutInMs = input.ReadInt64();
            break;
          }
          case 24: {
            InterOpThreadPool = input.ReadInt32();
            break;
          }
          case 40: {
            OutputPartitionGraphs = input.ReadBool();
            break;
          }
          case 50: {
            if (debugOptions_ == null) {
              debugOptions_ = new global::Tensorflow.DebugOptions();
            }
            input.ReadMessage(debugOptions_);
            break;
          }
          case 56: {
            ReportTensorAllocationsUponOom = input.ReadBool();
            break;
          }
          case 66: {
            if (experimental_ == null) {
              experimental_ = new global::Tensorflow.RunOptions.Types.Experimental();
            }
            input.ReadMessage(experimental_);
            break;
          }
        }
      }
    }

    #region Nested types
    /// <summary>Container for nested types declared in the RunOptions message type.</summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public static partial class Types {
      /// <summary>
      /// TODO(pbar) Turn this into a TraceOptions proto which allows
      /// tracing to be controlled in a more orthogonal manner?
      /// </summary>
      public enum TraceLevel {
        [pbr::OriginalName("NO_TRACE")] NoTrace = 0,
        [pbr::OriginalName("SOFTWARE_TRACE")] SoftwareTrace = 1,
        [pbr::OriginalName("HARDWARE_TRACE")] HardwareTrace = 2,
        [pbr::OriginalName("FULL_TRACE")] FullTrace = 3,
      }

      /// <summary>
      /// Everything inside Experimental is subject to change and is not subject
      /// to API stability guarantees in
      /// https://www.tensorflow.org/guide/version_compat.
      /// </summary>
      public sealed partial class Experimental : pb::IMessage<Experimental> {
        private static readonly pb::MessageParser<Experimental> _parser = new pb::MessageParser<Experimental>(() => new Experimental());
        private pb::UnknownFieldSet _unknownFields;
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public static pb::MessageParser<Experimental> Parser { get { return _parser; } }

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public static pbr::MessageDescriptor Descriptor {
          get { return global::Tensorflow.RunOptions.Descriptor.NestedTypes[0]; }
        }

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        pbr::MessageDescriptor pb::IMessage.Descriptor {
          get { return Descriptor; }
        }

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public Experimental() {
          OnConstruction();
        }

        partial void OnConstruction();

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public Experimental(Experimental other) : this() {
          collectiveGraphKey_ = other.collectiveGraphKey_;
          useRunHandlerPool_ = other.useRunHandlerPool_;
          _unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
        }

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public Experimental Clone() {
          return new Experimental(this);
        }

        /// <summary>Field number for the "collective_graph_key" field.</summary>
        public const int CollectiveGraphKeyFieldNumber = 1;
        private long collectiveGraphKey_;
        /// <summary>
        /// If non-zero, declares that this graph is going to use collective
        /// ops and must synchronize step_ids with any other graph with this
        /// same group_key value (in a distributed computation where tasks
        /// run disjoint graphs).
        /// </summary>
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public long CollectiveGraphKey {
          get { return collectiveGraphKey_; }
          set {
            collectiveGraphKey_ = value;
          }
        }

        /// <summary>Field number for the "use_run_handler_pool" field.</summary>
        public const int UseRunHandlerPoolFieldNumber = 2;
        private bool useRunHandlerPool_;
        /// <summary>
        /// If true, then operations (using the inter-op pool) across all
        /// session::run() calls will be centrally scheduled, optimizing for (median
        /// and tail) latency.
        /// Consider using this option for CPU-bound workloads like inference.
        /// </summary>
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public bool UseRunHandlerPool {
          get { return useRunHandlerPool_; }
          set {
            useRunHandlerPool_ = value;
          }
        }

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public override bool Equals(object other) {
          return Equals(other as Experimental);
        }

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public bool Equals(Experimental other) {
          if (ReferenceEquals(other, null)) {
            return false;
          }
          if (ReferenceEquals(other, this)) {
            return true;
          }
          if (CollectiveGraphKey != other.CollectiveGraphKey) return false;
          if (UseRunHandlerPool != other.UseRunHandlerPool) return false;
          return Equals(_unknownFields, other._unknownFields);
        }

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public override int GetHashCode() {
          int hash = 1;
          if (CollectiveGraphKey != 0L) hash ^= CollectiveGraphKey.GetHashCode();
          if (UseRunHandlerPool != false) hash ^= UseRunHandlerPool.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) {
          if (CollectiveGraphKey != 0L) {
            output.WriteRawTag(8);
            output.WriteInt64(CollectiveGraphKey);
          }
          if (UseRunHandlerPool != false) {
            output.WriteRawTag(16);
            output.WriteBool(UseRunHandlerPool);
          }
          if (_unknownFields != null) {
            _unknownFields.WriteTo(output);
          }
        }

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public int CalculateSize() {
          int size = 0;
          if (CollectiveGraphKey != 0L) {
            size += 1 + pb::CodedOutputStream.ComputeInt64Size(CollectiveGraphKey);
          }
          if (UseRunHandlerPool != false) {
            size += 1 + 1;
          }
          if (_unknownFields != null) {
            size += _unknownFields.CalculateSize();
          }
          return size;
        }

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public void MergeFrom(Experimental other) {
          if (other == null) {
            return;
          }
          if (other.CollectiveGraphKey != 0L) {
            CollectiveGraphKey = other.CollectiveGraphKey;
          }
          if (other.UseRunHandlerPool != false) {
            UseRunHandlerPool = other.UseRunHandlerPool;
          }
          _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 8: {
                CollectiveGraphKey = input.ReadInt64();
                break;
              }
              case 16: {
                UseRunHandlerPool = input.ReadBool();
                break;
              }
            }
          }
        }

      }

    }
    #endregion

  }

  /// <summary>
  /// Metadata output (i.e., non-Tensor) for a single Run() call.
  /// </summary>
  public sealed partial class RunMetadata : pb::IMessage<RunMetadata> {
    private static readonly pb::MessageParser<RunMetadata> _parser = new pb::MessageParser<RunMetadata>(() => new RunMetadata());
    private pb::UnknownFieldSet _unknownFields;
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public static pb::MessageParser<RunMetadata> Parser { get { return _parser; } }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public static pbr::MessageDescriptor Descriptor {
      get { return global::Tensorflow.ConfigReflection.Descriptor.MessageTypes[7]; }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    pbr::MessageDescriptor pb::IMessage.Descriptor {
      get { return Descriptor; }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public RunMetadata() {
      OnConstruction();
    }

    partial void OnConstruction();

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public RunMetadata(RunMetadata other) : this() {
      stepStats_ = other.stepStats_ != null ? other.stepStats_.Clone() : null;
      costGraph_ = other.costGraph_ != null ? other.costGraph_.Clone() : null;
      partitionGraphs_ = other.partitionGraphs_.Clone();
      functionGraphs_ = other.functionGraphs_.Clone();
      _unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public RunMetadata Clone() {
      return new RunMetadata(this);
    }

    /// <summary>Field number for the "step_stats" field.</summary>
    public const int StepStatsFieldNumber = 1;
    private global::Tensorflow.StepStats stepStats_;
    /// <summary>
    /// Statistics traced for this step. Populated if tracing is turned on via the
    /// "RunOptions" proto.
    /// EXPERIMENTAL: The format and set of events may change in future versions.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public global::Tensorflow.StepStats StepStats {
      get { return stepStats_; }
      set {
        stepStats_ = value;
      }
    }

    /// <summary>Field number for the "cost_graph" field.</summary>
    public const int CostGraphFieldNumber = 2;
    private global::Tensorflow.CostGraphDef costGraph_;
    /// <summary>
    /// The cost graph for the computation defined by the run call.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public global::Tensorflow.CostGraphDef CostGraph {
      get { return costGraph_; }
      set {
        costGraph_ = value;
      }
    }

    /// <summary>Field number for the "partition_graphs" field.</summary>
    public const int PartitionGraphsFieldNumber = 3;
    private static readonly pb::FieldCodec<global::Tensorflow.GraphDef> _repeated_partitionGraphs_codec
        = pb::FieldCodec.ForMessage(26, global::Tensorflow.GraphDef.Parser);
    private readonly pbc::RepeatedField<global::Tensorflow.GraphDef> partitionGraphs_ = new pbc::RepeatedField<global::Tensorflow.GraphDef>();
    /// <summary>
    /// Graphs of the partitions executed by executors.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public pbc::RepeatedField<global::Tensorflow.GraphDef> PartitionGraphs {
      get { return partitionGraphs_; }
    }

    /// <summary>Field number for the "function_graphs" field.</summary>
    public const int FunctionGraphsFieldNumber = 4;
    private static readonly pb::FieldCodec<global::Tensorflow.RunMetadata.Types.FunctionGraphs> _repeated_functionGraphs_codec
        = pb::FieldCodec.ForMessage(34, global::Tensorflow.RunMetadata.Types.FunctionGraphs.Parser);
    private readonly pbc::RepeatedField<global::Tensorflow.RunMetadata.Types.FunctionGraphs> functionGraphs_ = new pbc::RepeatedField<global::Tensorflow.RunMetadata.Types.FunctionGraphs>();
    /// <summary>
    /// This is only populated for graphs that are run as functions in TensorFlow
    /// V2. There will be an entry below for each function that is traced.
    /// The main use cases of the post_optimization_graph and the partition_graphs
    /// is to give the caller insight into the graphs that were actually run by the
    /// runtime. Additional information (such as those in step_stats) will match
    /// these graphs.
    /// We also include the pre_optimization_graph since it is usually easier to
    /// read, and is helpful in situations where the caller wants to get a high
    /// level idea of what the built graph looks like (since the various graph
    /// optimization passes might change the structure of the graph significantly).
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public pbc::RepeatedField<global::Tensorflow.RunMetadata.Types.FunctionGraphs> FunctionGraphs {
      get { return functionGraphs_; }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public override bool Equals(object other) {
      return Equals(other as RunMetadata);
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public bool Equals(RunMetadata other) {
      if (ReferenceEquals(other, null)) {
        return false;
      }
      if (ReferenceEquals(other, this)) {
        return true;
      }
      if (!object.Equals(StepStats, other.StepStats)) return false;
      if (!object.Equals(CostGraph, other.CostGraph)) return false;
      if(!partitionGraphs_.Equals(other.partitionGraphs_)) return false;
      if(!functionGraphs_.Equals(other.functionGraphs_)) return false;
      return Equals(_unknownFields, other._unknownFields);
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public override int GetHashCode() {
      int hash = 1;
      if (stepStats_ != null) hash ^= StepStats.GetHashCode();
      if (costGraph_ != null) hash ^= CostGraph.GetHashCode();
      hash ^= partitionGraphs_.GetHashCode();
      hash ^= functionGraphs_.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) {
      if (stepStats_ != null) {
        output.WriteRawTag(10);
        output.WriteMessage(StepStats);
      }
      if (costGraph_ != null) {
        output.WriteRawTag(18);
        output.WriteMessage(CostGraph);
      }
      partitionGraphs_.WriteTo(output, _repeated_partitionGraphs_codec);
      functionGraphs_.WriteTo(output, _repeated_functionGraphs_codec);
      if (_unknownFields != null) {
        _unknownFields.WriteTo(output);
      }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public int CalculateSize() {
      int size = 0;
      if (stepStats_ != null) {
        size += 1 + pb::CodedOutputStream.ComputeMessageSize(StepStats);
      }
      if (costGraph_ != null) {
        size += 1 + pb::CodedOutputStream.ComputeMessageSize(CostGraph);
      }
      size += partitionGraphs_.CalculateSize(_repeated_partitionGraphs_codec);
      size += functionGraphs_.CalculateSize(_repeated_functionGraphs_codec);
      if (_unknownFields != null) {
        size += _unknownFields.CalculateSize();
      }
      return size;
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public void MergeFrom(RunMetadata other) {
      if (other == null) {
        return;
      }
      if (other.stepStats_ != null) {
        if (stepStats_ == null) {
          stepStats_ = new global::Tensorflow.StepStats();
        }
        StepStats.MergeFrom(other.StepStats);
      }
      if (other.costGraph_ != null) {
        if (costGraph_ == null) {
          costGraph_ = new global::Tensorflow.CostGraphDef();
        }
        CostGraph.MergeFrom(other.CostGraph);
      }
      partitionGraphs_.Add(other.partitionGraphs_);
      functionGraphs_.Add(other.functionGraphs_);
      _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 10: {
            if (stepStats_ == null) {
              stepStats_ = new global::Tensorflow.StepStats();
            }
            input.ReadMessage(stepStats_);
            break;
          }
          case 18: {
            if (costGraph_ == null) {
              costGraph_ = new global::Tensorflow.CostGraphDef();
            }
            input.ReadMessage(costGraph_);
            break;
          }
          case 26: {
            partitionGraphs_.AddEntriesFrom(input, _repeated_partitionGraphs_codec);
            break;
          }
          case 34: {
            functionGraphs_.AddEntriesFrom(input, _repeated_functionGraphs_codec);
            break;
          }
        }
      }
    }

    #region Nested types
    /// <summary>Container for nested types declared in the RunMetadata message type.</summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public static partial class Types {
      public sealed partial class FunctionGraphs : pb::IMessage<FunctionGraphs> {
        private static readonly pb::MessageParser<FunctionGraphs> _parser = new pb::MessageParser<FunctionGraphs>(() => new FunctionGraphs());
        private pb::UnknownFieldSet _unknownFields;
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public static pb::MessageParser<FunctionGraphs> Parser { get { return _parser; } }

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public static pbr::MessageDescriptor Descriptor {
          get { return global::Tensorflow.RunMetadata.Descriptor.NestedTypes[0]; }
        }

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        pbr::MessageDescriptor pb::IMessage.Descriptor {
          get { return Descriptor; }
        }

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public FunctionGraphs() {
          OnConstruction();
        }

        partial void OnConstruction();

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public FunctionGraphs(FunctionGraphs other) : this() {
          partitionGraphs_ = other.partitionGraphs_.Clone();
          preOptimizationGraph_ = other.preOptimizationGraph_ != null ? other.preOptimizationGraph_.Clone() : null;
          postOptimizationGraph_ = other.postOptimizationGraph_ != null ? other.postOptimizationGraph_.Clone() : null;
          _unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
        }

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public FunctionGraphs Clone() {
          return new FunctionGraphs(this);
        }

        /// <summary>Field number for the "partition_graphs" field.</summary>
        public const int PartitionGraphsFieldNumber = 1;
        private static readonly pb::FieldCodec<global::Tensorflow.GraphDef> _repeated_partitionGraphs_codec
            = pb::FieldCodec.ForMessage(10, global::Tensorflow.GraphDef.Parser);
        private readonly pbc::RepeatedField<global::Tensorflow.GraphDef> partitionGraphs_ = new pbc::RepeatedField<global::Tensorflow.GraphDef>();
        /// <summary>
        /// TODO(nareshmodi): Include some sort of function/cache-key identifier?
        /// </summary>
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public pbc::RepeatedField<global::Tensorflow.GraphDef> PartitionGraphs {
          get { return partitionGraphs_; }
        }

        /// <summary>Field number for the "pre_optimization_graph" field.</summary>
        public const int PreOptimizationGraphFieldNumber = 2;
        private global::Tensorflow.GraphDef preOptimizationGraph_;
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public global::Tensorflow.GraphDef PreOptimizationGraph {
          get { return preOptimizationGraph_; }
          set {
            preOptimizationGraph_ = value;
          }
        }

        /// <summary>Field number for the "post_optimization_graph" field.</summary>
        public const int PostOptimizationGraphFieldNumber = 3;
        private global::Tensorflow.GraphDef postOptimizationGraph_;
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public global::Tensorflow.GraphDef PostOptimizationGraph {
          get { return postOptimizationGraph_; }
          set {
            postOptimizationGraph_ = value;
          }
        }

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public override bool Equals(object other) {
          return Equals(other as FunctionGraphs);
        }

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public bool Equals(FunctionGraphs other) {
          if (ReferenceEquals(other, null)) {
            return false;
          }
          if (ReferenceEquals(other, this)) {
            return true;
          }
          if(!partitionGraphs_.Equals(other.partitionGraphs_)) return false;
          if (!object.Equals(PreOptimizationGraph, other.PreOptimizationGraph)) return false;
          if (!object.Equals(PostOptimizationGraph, other.PostOptimizationGraph)) return false;
          return Equals(_unknownFields, other._unknownFields);
        }

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public override int GetHashCode() {
          int hash = 1;
          hash ^= partitionGraphs_.GetHashCode();
          if (preOptimizationGraph_ != null) hash ^= PreOptimizationGraph.GetHashCode();
          if (postOptimizationGraph_ != null) hash ^= PostOptimizationGraph.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) {
          partitionGraphs_.WriteTo(output, _repeated_partitionGraphs_codec);
          if (preOptimizationGraph_ != null) {
            output.WriteRawTag(18);
            output.WriteMessage(PreOptimizationGraph);
          }
          if (postOptimizationGraph_ != null) {
            output.WriteRawTag(26);
            output.WriteMessage(PostOptimizationGraph);
          }
          if (_unknownFields != null) {
            _unknownFields.WriteTo(output);
          }
        }

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public int CalculateSize() {
          int size = 0;
          size += partitionGraphs_.CalculateSize(_repeated_partitionGraphs_codec);
          if (preOptimizationGraph_ != null) {
            size += 1 + pb::CodedOutputStream.ComputeMessageSize(PreOptimizationGraph);
          }
          if (postOptimizationGraph_ != null) {
            size += 1 + pb::CodedOutputStream.ComputeMessageSize(PostOptimizationGraph);
          }
          if (_unknownFields != null) {
            size += _unknownFields.CalculateSize();
          }
          return size;
        }

        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public void MergeFrom(FunctionGraphs other) {
          if (other == null) {
            return;
          }
          partitionGraphs_.Add(other.partitionGraphs_);
          if (other.preOptimizationGraph_ != null) {
            if (preOptimizationGraph_ == null) {
              preOptimizationGraph_ = new global::Tensorflow.GraphDef();
            }
            PreOptimizationGraph.MergeFrom(other.PreOptimizationGraph);
          }
          if (other.postOptimizationGraph_ != null) {
            if (postOptimizationGraph_ == null) {
              postOptimizationGraph_ = new global::Tensorflow.GraphDef();
            }
            PostOptimizationGraph.MergeFrom(other.PostOptimizationGraph);
          }
          _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 10: {
                partitionGraphs_.AddEntriesFrom(input, _repeated_partitionGraphs_codec);
                break;
              }
              case 18: {
                if (preOptimizationGraph_ == null) {
                  preOptimizationGraph_ = new global::Tensorflow.GraphDef();
                }
                input.ReadMessage(preOptimizationGraph_);
                break;
              }
              case 26: {
                if (postOptimizationGraph_ == null) {
                  postOptimizationGraph_ = new global::Tensorflow.GraphDef();
                }
                input.ReadMessage(postOptimizationGraph_);
                break;
              }
            }
          }
        }

      }

    }
    #endregion

  }

  /// <summary>
  /// Defines a connection between two tensors in a `GraphDef`.
  /// </summary>
  public sealed partial class TensorConnection : pb::IMessage<TensorConnection> {
    private static readonly pb::MessageParser<TensorConnection> _parser = new pb::MessageParser<TensorConnection>(() => new TensorConnection());
    private pb::UnknownFieldSet _unknownFields;
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public static pb::MessageParser<TensorConnection> Parser { get { return _parser; } }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public static pbr::MessageDescriptor Descriptor {
      get { return global::Tensorflow.ConfigReflection.Descriptor.MessageTypes[8]; }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    pbr::MessageDescriptor pb::IMessage.Descriptor {
      get { return Descriptor; }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public TensorConnection() {
      OnConstruction();
    }

    partial void OnConstruction();

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public TensorConnection(TensorConnection other) : this() {
      fromTensor_ = other.fromTensor_;
      toTensor_ = other.toTensor_;
      _unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public TensorConnection Clone() {
      return new TensorConnection(this);
    }

    /// <summary>Field number for the "from_tensor" field.</summary>
    public const int FromTensorFieldNumber = 1;
    private string fromTensor_ = "";
    /// <summary>
    /// A tensor name. The value of this tensor will be substituted for
    /// the tensor named in `to_tensor`.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public string FromTensor {
      get { return fromTensor_; }
      set {
        fromTensor_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
      }
    }

    /// <summary>Field number for the "to_tensor" field.</summary>
    public const int ToTensorFieldNumber = 2;
    private string toTensor_ = "";
    /// <summary>
    /// A tensor name. The value of this tensor will be bound to the
    /// value of the tensor named in `from_tensor`.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public string ToTensor {
      get { return toTensor_; }
      set {
        toTensor_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
      }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public override bool Equals(object other) {
      return Equals(other as TensorConnection);
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public bool Equals(TensorConnection other) {
      if (ReferenceEquals(other, null)) {
        return false;
      }
      if (ReferenceEquals(other, this)) {
        return true;
      }
      if (FromTensor != other.FromTensor) return false;
      if (ToTensor != other.ToTensor) return false;
      return Equals(_unknownFields, other._unknownFields);
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public override int GetHashCode() {
      int hash = 1;
      if (FromTensor.Length != 0) hash ^= FromTensor.GetHashCode();
      if (ToTensor.Length != 0) hash ^= ToTensor.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) {
      if (FromTensor.Length != 0) {
        output.WriteRawTag(10);
        output.WriteString(FromTensor);
      }
      if (ToTensor.Length != 0) {
        output.WriteRawTag(18);
        output.WriteString(ToTensor);
      }
      if (_unknownFields != null) {
        _unknownFields.WriteTo(output);
      }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public int CalculateSize() {
      int size = 0;
      if (FromTensor.Length != 0) {
        size += 1 + pb::CodedOutputStream.ComputeStringSize(FromTensor);
      }
      if (ToTensor.Length != 0) {
        size += 1 + pb::CodedOutputStream.ComputeStringSize(ToTensor);
      }
      if (_unknownFields != null) {
        size += _unknownFields.CalculateSize();
      }
      return size;
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public void MergeFrom(TensorConnection other) {
      if (other == null) {
        return;
      }
      if (other.FromTensor.Length != 0) {
        FromTensor = other.FromTensor;
      }
      if (other.ToTensor.Length != 0) {
        ToTensor = other.ToTensor;
      }
      _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 10: {
            FromTensor = input.ReadString();
            break;
          }
          case 18: {
            ToTensor = input.ReadString();
            break;
          }
        }
      }
    }

  }

  /// <summary>
  /// Defines a subgraph in another `GraphDef` as a set of feed points and nodes
  /// to be fetched or executed.
  ///
  /// Compare with the arguments to `Session::Run()`.
  /// </summary>
  public sealed partial class CallableOptions : pb::IMessage<CallableOptions> {
    private static readonly pb::MessageParser<CallableOptions> _parser = new pb::MessageParser<CallableOptions>(() => new CallableOptions());
    private pb::UnknownFieldSet _unknownFields;
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public static pb::MessageParser<CallableOptions> Parser { get { return _parser; } }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public static pbr::MessageDescriptor Descriptor {
      get { return global::Tensorflow.ConfigReflection.Descriptor.MessageTypes[9]; }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    pbr::MessageDescriptor pb::IMessage.Descriptor {
      get { return Descriptor; }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public CallableOptions() {
      OnConstruction();
    }

    partial void OnConstruction();

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public CallableOptions(CallableOptions other) : this() {
      feed_ = other.feed_.Clone();
      fetch_ = other.fetch_.Clone();
      target_ = other.target_.Clone();
      runOptions_ = other.runOptions_ != null ? other.runOptions_.Clone() : null;
      tensorConnection_ = other.tensorConnection_.Clone();
      feedDevices_ = other.feedDevices_.Clone();
      fetchDevices_ = other.fetchDevices_.Clone();
      fetchSkipSync_ = other.fetchSkipSync_;
      _unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public CallableOptions Clone() {
      return new CallableOptions(this);
    }

    /// <summary>Field number for the "feed" field.</summary>
    public const int FeedFieldNumber = 1;
    private static readonly pb::FieldCodec<string> _repeated_feed_codec
        = pb::FieldCodec.ForString(10);
    private readonly pbc::RepeatedField<string> feed_ = new pbc::RepeatedField<string>();
    /// <summary>
    /// Tensors to be fed in the callable. Each feed is the name of a tensor.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public pbc::RepeatedField<string> Feed {
      get { return feed_; }
    }

    /// <summary>Field number for the "fetch" field.</summary>
    public const int FetchFieldNumber = 2;
    private static readonly pb::FieldCodec<string> _repeated_fetch_codec
        = pb::FieldCodec.ForString(18);
    private readonly pbc::RepeatedField<string> fetch_ = new pbc::RepeatedField<string>();
    /// <summary>
    /// Fetches. A list of tensor names. The caller of the callable expects a
    /// tensor to be returned for each fetch[i] (see RunStepResponse.tensor). The
    /// order of specified fetches does not change the execution order.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public pbc::RepeatedField<string> Fetch {
      get { return fetch_; }
    }

    /// <summary>Field number for the "target" field.</summary>
    public const int TargetFieldNumber = 3;
    private static readonly pb::FieldCodec<string> _repeated_target_codec
        = pb::FieldCodec.ForString(26);
    private readonly pbc::RepeatedField<string> target_ = new pbc::RepeatedField<string>();
    /// <summary>
    /// Target Nodes. A list of node names. The named nodes will be run by the
    /// callable but their outputs will not be returned.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public pbc::RepeatedField<string> Target {
      get { return target_; }
    }

    /// <summary>Field number for the "run_options" field.</summary>
    public const int RunOptionsFieldNumber = 4;
    private global::Tensorflow.RunOptions runOptions_;
    /// <summary>
    /// Options that will be applied to each run.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public global::Tensorflow.RunOptions RunOptions {
      get { return runOptions_; }
      set {
        runOptions_ = value;
      }
    }

    /// <summary>Field number for the "tensor_connection" field.</summary>
    public const int TensorConnectionFieldNumber = 5;
    private static readonly pb::FieldCodec<global::Tensorflow.TensorConnection> _repeated_tensorConnection_codec
        = pb::FieldCodec.ForMessage(42, global::Tensorflow.TensorConnection.Parser);
    private readonly pbc::RepeatedField<global::Tensorflow.TensorConnection> tensorConnection_ = new pbc::RepeatedField<global::Tensorflow.TensorConnection>();
    /// <summary>
    /// Tensors to be connected in the callable. Each TensorConnection denotes
    /// a pair of tensors in the graph, between which an edge will be created
    /// in the callable.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public pbc::RepeatedField<global::Tensorflow.TensorConnection> TensorConnection {
      get { return tensorConnection_; }
    }

    /// <summary>Field number for the "feed_devices" field.</summary>
    public const int FeedDevicesFieldNumber = 6;
    private static readonly pbc::MapField<string, string>.Codec _map_feedDevices_codec
        = new pbc::MapField<string, string>.Codec(pb::FieldCodec.ForString(10), pb::FieldCodec.ForString(18), 50);
    private readonly pbc::MapField<string, string> feedDevices_ = new pbc::MapField<string, string>();
    /// <summary>
    /// The Tensor objects fed in the callable and fetched from the callable
    /// are expected to be backed by host (CPU) memory by default.
    ///
    /// The options below allow changing that - feeding tensors backed by
    /// device memory, or returning tensors that are backed by device memory.
    ///
    /// The maps below map the name of a feed/fetch tensor (which appears in
    /// 'feed' or 'fetch' fields above), to the fully qualified name of the device
    /// owning the memory backing the contents of the tensor.
    ///
    /// For example, creating a callable with the following options:
    ///
    /// CallableOptions {
    ///   feed: "a:0"
    ///   feed: "b:0"
    ///
    ///   fetch: "x:0"
    ///   fetch: "y:0"
    ///
    ///   feed_devices: {
    ///     "a:0": "/job:localhost/replica:0/task:0/device:GPU:0"
    ///   }
    ///
    ///   fetch_devices: {
    ///     "y:0": "/job:localhost/replica:0/task:0/device:GPU:0"
    ///  }
    /// }
    ///
    /// means that the Callable expects:
    /// - The first argument ("a:0") is a Tensor backed by GPU memory.
    /// - The second argument ("b:0") is a Tensor backed by host memory.
    /// and of its return values:
    /// - The first output ("x:0") will be backed by host memory.
    /// - The second output ("y:0") will be backed by GPU memory.
    ///
    /// FEEDS:
    /// It is the responsibility of the caller to ensure that the memory of the fed
    /// tensors will be correctly initialized and synchronized before it is
    /// accessed by operations executed during the call to Session::RunCallable().
    ///
    /// This is typically ensured by using the TensorFlow memory allocators
    /// (Device::GetAllocator()) to create the Tensor to be fed.
    ///
    /// Alternatively, for CUDA-enabled GPU devices, this typically means that the
    /// operation that produced the contents of the tensor has completed, i.e., the
    /// CUDA stream has been synchronized (e.g., via cuCtxSynchronize() or
    /// cuStreamSynchronize()).
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public pbc::MapField<string, string> FeedDevices {
      get { return feedDevices_; }
    }

    /// <summary>Field number for the "fetch_devices" field.</summary>
    public const int FetchDevicesFieldNumber = 7;
    private static readonly pbc::MapField<string, string>.Codec _map_fetchDevices_codec
        = new pbc::MapField<string, string>.Codec(pb::FieldCodec.ForString(10), pb::FieldCodec.ForString(18), 58);
    private readonly pbc::MapField<string, string> fetchDevices_ = new pbc::MapField<string, string>();
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public pbc::MapField<string, string> FetchDevices {
      get { return fetchDevices_; }
    }

    /// <summary>Field number for the "fetch_skip_sync" field.</summary>
    public const int FetchSkipSyncFieldNumber = 8;
    private bool fetchSkipSync_;
    /// <summary>
    /// By default, RunCallable() will synchronize the GPU stream before returning
    /// fetched tensors on a GPU device, to ensure that the values in those tensors
    /// have been produced. This simplifies interacting with the tensors, but
    /// potentially incurs a performance hit.
    ///
    /// If this options is set to true, the caller is responsible for ensuring
    /// that the values in the fetched tensors have been produced before they are
    /// used. The caller can do this by invoking `Device::Sync()` on the underlying
    /// device(s), or by feeding the tensors back to the same Session using
    /// `feed_devices` with the same corresponding device name.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public bool FetchSkipSync {
      get { return fetchSkipSync_; }
      set {
        fetchSkipSync_ = value;
      }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public override bool Equals(object other) {
      return Equals(other as CallableOptions);
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public bool Equals(CallableOptions other) {
      if (ReferenceEquals(other, null)) {
        return false;
      }
      if (ReferenceEquals(other, this)) {
        return true;
      }
      if(!feed_.Equals(other.feed_)) return false;
      if(!fetch_.Equals(other.fetch_)) return false;
      if(!target_.Equals(other.target_)) return false;
      if (!object.Equals(RunOptions, other.RunOptions)) return false;
      if(!tensorConnection_.Equals(other.tensorConnection_)) return false;
      if (!FeedDevices.Equals(other.FeedDevices)) return false;
      if (!FetchDevices.Equals(other.FetchDevices)) return false;
      if (FetchSkipSync != other.FetchSkipSync) return false;
      return Equals(_unknownFields, other._unknownFields);
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public override int GetHashCode() {
      int hash = 1;
      hash ^= feed_.GetHashCode();
      hash ^= fetch_.GetHashCode();
      hash ^= target_.GetHashCode();
      if (runOptions_ != null) hash ^= RunOptions.GetHashCode();
      hash ^= tensorConnection_.GetHashCode();
      hash ^= FeedDevices.GetHashCode();
      hash ^= FetchDevices.GetHashCode();
      if (FetchSkipSync != false) hash ^= FetchSkipSync.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) {
      feed_.WriteTo(output, _repeated_feed_codec);
      fetch_.WriteTo(output, _repeated_fetch_codec);
      target_.WriteTo(output, _repeated_target_codec);
      if (runOptions_ != null) {
        output.WriteRawTag(34);
        output.WriteMessage(RunOptions);
      }
      tensorConnection_.WriteTo(output, _repeated_tensorConnection_codec);
      feedDevices_.WriteTo(output, _map_feedDevices_codec);
      fetchDevices_.WriteTo(output, _map_fetchDevices_codec);
      if (FetchSkipSync != false) {
        output.WriteRawTag(64);
        output.WriteBool(FetchSkipSync);
      }
      if (_unknownFields != null) {
        _unknownFields.WriteTo(output);
      }
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public int CalculateSize() {
      int size = 0;
      size += feed_.CalculateSize(_repeated_feed_codec);
      size += fetch_.CalculateSize(_repeated_fetch_codec);
      size += target_.CalculateSize(_repeated_target_codec);
      if (runOptions_ != null) {
        size += 1 + pb::CodedOutputStream.ComputeMessageSize(RunOptions);
      }
      size += tensorConnection_.CalculateSize(_repeated_tensorConnection_codec);
      size += feedDevices_.CalculateSize(_map_feedDevices_codec);
      size += fetchDevices_.CalculateSize(_map_fetchDevices_codec);
      if (FetchSkipSync != false) {
        size += 1 + 1;
      }
      if (_unknownFields != null) {
        size += _unknownFields.CalculateSize();
      }
      return size;
    }

    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public void MergeFrom(CallableOptions other) {
      if (other == null) {
        return;
      }
      feed_.Add(other.feed_);
      fetch_.Add(other.fetch_);
      target_.Add(other.target_);
      if (other.runOptions_ != null) {
        if (runOptions_ == null) {
          runOptions_ = new global::Tensorflow.RunOptions();
        }
        RunOptions.MergeFrom(other.RunOptions);
      }
      tensorConnection_.Add(other.tensorConnection_);
      feedDevices_.Add(other.feedDevices_);
      fetchDevices_.Add(other.fetchDevices_);
      if (other.FetchSkipSync != false) {
        FetchSkipSync = other.FetchSkipSync;
      }
      _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 10: {
            feed_.AddEntriesFrom(input, _repeated_feed_codec);
            break;
          }
          case 18: {
            fetch_.AddEntriesFrom(input, _repeated_fetch_codec);
            break;
          }
          case 26: {
            target_.AddEntriesFrom(input, _repeated_target_codec);
            break;
          }
          case 34: {
            if (runOptions_ == null) {
              runOptions_ = new global::Tensorflow.RunOptions();
            }
            input.ReadMessage(runOptions_);
            break;
          }
          case 42: {
            tensorConnection_.AddEntriesFrom(input, _repeated_tensorConnection_codec);
            break;
          }
          case 50: {
            feedDevices_.AddEntriesFrom(input, _map_feedDevices_codec);
            break;
          }
          case 58: {
            fetchDevices_.AddEntriesFrom(input, _map_fetchDevices_codec);
            break;
          }
          case 64: {
            FetchSkipSync = input.ReadBool();
            break;
          }
        }
      }
    }

  }

  #endregion

}

#endregion Designer generated code