Upgrade protobuf definition.

5 years ago · 7d7a3174e4
--- a/src/TensorFlowNET.Core/Protobuf/AllocationDescription.cs
+++ b/src/TensorFlowNET.Core/Protobuf/AllocationDescription.cs
@@ -29,10 +29,10 @@ namespace Tensorflow {
            "dGlvbhIXCg9yZXF1ZXN0ZWRfYnl0ZXMYASABKAMSFwoPYWxsb2NhdGVkX2J5",
            "dGVzGAIgASgDEhYKDmFsbG9jYXRvcl9uYW1lGAMgASgJEhUKDWFsbG9jYXRp",
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            "dy90ZW5zb3JmbG93L3RlbnNvcmZsb3cvZ28vY29yZS9mcmFtZXdvcmv4AQFi",
            "BnByb3RvMw=="));
            "cHRyGAYgASgEQpsBChhvcmcudGVuc29yZmxvdy5mcmFtZXdvcmtCG0FsbG9j",
            "YXRpb25EZXNjcmlwdGlvblByb3Rvc1ABWl1naXRodWIuY29tL3RlbnNvcmZs",
            "b3cvdGVuc29yZmxvdy90ZW5zb3JmbG93L2dvL2NvcmUvZnJhbWV3b3JrL2Fs",
            "bG9jYXRpb25fZGVzY3JpcHRpb25fZ29fcHJvdG/4AQFiBnByb3RvMw=="));
      descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
          new pbr::FileDescriptor[] { },
          new pbr::GeneratedClrTypeInfo(null, null, new pbr::GeneratedClrTypeInfo[] {
--- a/src/TensorFlowNET.Core/Protobuf/ApiDef.cs
+++ b/src/TensorFlowNET.Core/Protobuf/ApiDef.cs
@@ -43,10 +43,10 @@ namespace Tensorflow {
            "MhUudGVuc29yZmxvdy5BdHRyVmFsdWUSEwoLZGVzY3JpcHRpb24YBCABKAki",
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            "b3cvdGVuc29yZmxvdy90ZW5zb3JmbG93L2dvL2NvcmUvZnJhbWV3b3Jr+AEB",
            "YgZwcm90bzM="));
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            "cmFtZXdvcmtCDEFwaURlZlByb3Rvc1ABWk5naXRodWIuY29tL3RlbnNvcmZs",
            "b3cvdGVuc29yZmxvdy90ZW5zb3JmbG93L2dvL2NvcmUvZnJhbWV3b3JrL2Fw",
            "aV9kZWZfZ29fcHJvdG/4AQFiBnByb3RvMw=="));
      descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
          new pbr::FileDescriptor[] { global::Tensorflow.AttrValueReflection.Descriptor, },
          new pbr::GeneratedClrTypeInfo(null, null, new pbr::GeneratedClrTypeInfo[] {
--- a/src/TensorFlowNET.Core/Protobuf/AttrValue.cs
+++ b/src/TensorFlowNET.Core/Protobuf/AttrValue.cs
@@ -43,10 +43,10 @@ namespace Tensorflow {
            "ckxpc3RCBwoFdmFsdWUikgEKDE5hbWVBdHRyTGlzdBIMCgRuYW1lGAEgASgJ",
            "EjAKBGF0dHIYAiADKAsyIi50ZW5zb3JmbG93Lk5hbWVBdHRyTGlzdC5BdHRy",
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            "bnNvcmZsb3cvdGVuc29yZmxvdy90ZW5zb3JmbG93L2dvL2NvcmUvZnJhbWV3",
            "b3Jr+AEBYgZwcm90bzM="));
            "CzIVLnRlbnNvcmZsb3cuQXR0clZhbHVlOgI4AUKDAQoYb3JnLnRlbnNvcmZs",
            "b3cuZnJhbWV3b3JrQg9BdHRyVmFsdWVQcm90b3NQAVpRZ2l0aHViLmNvbS90",
            "ZW5zb3JmbG93L3RlbnNvcmZsb3cvdGVuc29yZmxvdy9nby9jb3JlL2ZyYW1l",
            "d29yay9hdHRyX3ZhbHVlX2dvX3Byb3Rv+AEBYgZwcm90bzM="));
      descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
          new pbr::FileDescriptor[] { global::Tensorflow.TensorReflection.Descriptor, global::Tensorflow.TensorShapeReflection.Descriptor, global::Tensorflow.TypesReflection.Descriptor, },
          new pbr::GeneratedClrTypeInfo(null, null, new pbr::GeneratedClrTypeInfo[] {
--- a/src/TensorFlowNET.Core/Protobuf/Cluster.cs
+++ b/src/TensorFlowNET.Core/Protobuf/Cluster.cs
@@ -28,10 +28,10 @@ namespace Tensorflow {
            "c29yZmxvdyJyCgZKb2JEZWYSDAoEbmFtZRgBIAEoCRIsCgV0YXNrcxgCIAMo",
            "CzIdLnRlbnNvcmZsb3cuSm9iRGVmLlRhc2tzRW50cnkaLAoKVGFza3NFbnRy",
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            "ZWYSHwoDam9iGAEgAygLMhIudGVuc29yZmxvdy5Kb2JEZWZCbgoab3JnLnRl",
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            "LmNvbS90ZW5zb3JmbG93L3RlbnNvcmZsb3cvdGVuc29yZmxvdy9nby9jb3Jl",
            "L3Byb3RvYnVm+AEBYgZwcm90bzM="));
            "L2NvcmVfcHJvdG9zX2dvX3Byb3Rv+AEBYgZwcm90bzM="));
      descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
          new pbr::FileDescriptor[] { },
          new pbr::GeneratedClrTypeInfo(null, null, new pbr::GeneratedClrTypeInfo[] {
--- a/src/TensorFlowNET.Core/Protobuf/Config.cs
+++ b/src/TensorFlowNET.Core/Protobuf/Config.cs
@@ -30,7 +30,7 @@ namespace Tensorflow {
            "KnRlbnNvcmZsb3cvY29yZS9mcmFtZXdvcmsvc3RlcF9zdGF0cy5wcm90bxom",
            "dGVuc29yZmxvdy9jb3JlL3Byb3RvYnVmL2NsdXN0ZXIucHJvdG8aJHRlbnNv",
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            "CRIfChdkZWZlcnJlZF9kZWxldGlvbl9ieXRlcxgDIAEoAxIbChN2aXNpYmxl",
@@ -38,111 +38,116 @@ namespace Tensorflow {
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      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, 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, 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, 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, null)})}),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.GPUOptions), global::Tensorflow.GPUOptions.Parser, new[]{ "PerProcessGpuMemoryFraction", "AllowGrowth", "AllocatorType", "DeferredDeletionBytes", "VisibleDeviceList", "PollingActiveDelayUsecs", "PollingInactiveDelayMsecs", "ForceGpuCompatible", "Experimental" }, null, 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, 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", "Priority" }, null, 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, 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, null),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.ThreadPoolOptionProto), global::Tensorflow.ThreadPoolOptionProto.Parser, new[]{ "NumThreads", "GlobalName" }, null, null, null, null),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.RPCOptions), global::Tensorflow.RPCOptions.Parser, new[]{ "UseRpcForInprocessMaster", "CompressionAlgorithm", "CompressionLevel", "CacheRpcResponse", "DisableSessionConnectionSharing" }, null, null, null, null),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.SessionMetadata), global::Tensorflow.SessionMetadata.Parser, new[]{ "Name", "Version" }, null, 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, 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", "SessionMetadata", "OptimizeForStaticGraph", "EnableMlirBridge", "DisableOutputPartitionGraphs", "XlaFusionAutotunerThresh" }, null, 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) }, null, new pbr::GeneratedClrTypeInfo[] { new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.RunOptions.Types.Experimental), global::Tensorflow.RunOptions.Types.Experimental.Parser, new[]{ "CollectiveGraphKey", "UseRunHandlerPool" }, null, 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", "ShareClusterDevicesInSession", "Experimental" }, null, 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", "SessionMetadata", "OptimizeForStaticGraph", "EnableMlirBridge", "EnableMlirGraphOptimization", "DisableOutputPartitionGraphs", "XlaFusionAutotunerThresh" }, null, 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) }, null, new pbr::GeneratedClrTypeInfo[] { new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.RunOptions.Types.Experimental), global::Tensorflow.RunOptions.Types.Experimental.Parser, new[]{ "CollectiveGraphKey", "UseRunHandlerPool", "RunHandlerPoolOptions" }, null, null, null, new pbr::GeneratedClrTypeInfo[] { new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.RunOptions.Types.Experimental.Types.RunHandlerPoolOptions), global::Tensorflow.RunOptions.Types.Experimental.Types.RunHandlerPoolOptions.Parser, new[]{ "Priority" }, null, null, null, null)})}),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.RunMetadata), global::Tensorflow.RunMetadata.Parser, new[]{ "StepStats", "CostGraph", "PartitionGraphs", "FunctionGraphs" }, null, 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, null)}),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.TensorConnection), global::Tensorflow.TensorConnection.Parser, new[]{ "FromTensor", "ToTensor" }, null, 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, null, new pbr::GeneratedClrTypeInfo[] { null, null, })
@@ -1022,6 +1027,7 @@ namespace Tensorflow {
            [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
            public VirtualDevices(VirtualDevices other) : this() {
              memoryLimitMb_ = other.memoryLimitMb_.Clone();
              priority_ = other.priority_.Clone();
              _unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
            }
@@ -1050,6 +1056,28 @@ namespace Tensorflow {
              get { return memoryLimitMb_; }
            }
            /// <summary>Field number for the "priority" field.</summary>
            public const int PriorityFieldNumber = 2;
            private static readonly pb::FieldCodec<int> _repeated_priority_codec
                = pb::FieldCodec.ForInt32(18);
            private readonly pbc::RepeatedField<int> priority_ = new pbc::RepeatedField<int>();
            /// <summary>
            /// Priority values to use with the virtual devices. Use the cuda function
            /// cudaDeviceGetStreamPriorityRange to query for valid range of values for
            /// priority.
            ///
            /// On a P4000 GPU with cuda 10.1, the priority range reported was 0 for
            /// least priority and -1 for greatest priority.
            ///
            /// If this field is not specified, then the virtual devices will be
            /// created with the default. If this field has values set, then the size
            /// of this must match with the above memory_limit_mb.
            /// </summary>
            [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
            public pbc::RepeatedField<int> Priority {
              get { return priority_; }
            }
            [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
            public override bool Equals(object other) {
              return Equals(other as VirtualDevices);
@@ -1064,6 +1092,7 @@ namespace Tensorflow {
                return true;
              }
              if(!memoryLimitMb_.Equals(other.memoryLimitMb_)) return false;
              if(!priority_.Equals(other.priority_)) return false;
              return Equals(_unknownFields, other._unknownFields);
            }
@@ -1071,6 +1100,7 @@ namespace Tensorflow {
            public override int GetHashCode() {
              int hash = 1;
              hash ^= memoryLimitMb_.GetHashCode();
              hash ^= priority_.GetHashCode();
              if (_unknownFields != null) {
                hash ^= _unknownFields.GetHashCode();
              }
@@ -1085,6 +1115,7 @@ namespace Tensorflow {
            [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
            public void WriteTo(pb::CodedOutputStream output) {
              memoryLimitMb_.WriteTo(output, _repeated_memoryLimitMb_codec);
              priority_.WriteTo(output, _repeated_priority_codec);
              if (_unknownFields != null) {
                _unknownFields.WriteTo(output);
              }
@@ -1094,6 +1125,7 @@ namespace Tensorflow {
            public int CalculateSize() {
              int size = 0;
              size += memoryLimitMb_.CalculateSize(_repeated_memoryLimitMb_codec);
              size += priority_.CalculateSize(_repeated_priority_codec);
              if (_unknownFields != null) {
                size += _unknownFields.CalculateSize();
              }
@@ -1106,6 +1138,7 @@ namespace Tensorflow {
                return;
              }
              memoryLimitMb_.Add(other.memoryLimitMb_);
              priority_.Add(other.priority_);
              _unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
            }
@@ -1122,6 +1155,11 @@ namespace Tensorflow {
                    memoryLimitMb_.AddEntriesFrom(input, _repeated_memoryLimitMb_codec);
                    break;
                  }
                  case 18:
                  case 16: {
                    priority_.AddEntriesFrom(input, _repeated_priority_codec);
                    break;
                  }
                }
              }
            }
@@ -2539,6 +2577,7 @@ namespace Tensorflow {
      rpcOptions_ = other.rpcOptions_ != null ? other.rpcOptions_.Clone() : null;
      clusterDef_ = other.clusterDef_ != null ? other.clusterDef_.Clone() : null;
      isolateSessionState_ = other.isolateSessionState_;
      shareClusterDevicesInSession_ = other.shareClusterDevicesInSession_;
      experimental_ = other.experimental_ != null ? other.experimental_.Clone() : null;
      _unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
    }
@@ -2571,6 +2610,17 @@ namespace Tensorflow {
    /// 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.
    ///
    /// If you create an ordinary session, e.g., from Python or C++,
    /// then there is exactly one intra op thread pool per process.
    /// The first session created determines the number of threads in this pool.
    /// All subsequent sessions reuse/share this one global pool.
    ///
    /// There are notable exceptions to the default behavior describe above:
    /// 1. There is an environment variable  for overriding this thread pool,
    ///    named TF_OVERRIDE_GLOBAL_THREADPOOL.
    /// 2. When connecting to a server, such as a remote `tf.train.Server`
    ///    instance, then this option will be ignored altogether.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public int IntraOpParallelismThreads {
@@ -2808,6 +2858,23 @@ namespace Tensorflow {
      }
    }
    /// <summary>Field number for the "share_cluster_devices_in_session" field.</summary>
    public const int ShareClusterDevicesInSessionFieldNumber = 17;
    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;
      }
    }
    /// <summary>Field number for the "experimental" field.</summary>
    public const int ExperimentalFieldNumber = 16;
    private global::Tensorflow.ConfigProto.Types.Experimental experimental_;
@@ -2847,6 +2914,7 @@ namespace Tensorflow {
      if (!object.Equals(RpcOptions, other.RpcOptions)) return false;
      if (!object.Equals(ClusterDef, other.ClusterDef)) return false;
      if (IsolateSessionState != other.IsolateSessionState) return false;
      if (ShareClusterDevicesInSession != other.ShareClusterDevicesInSession) return false;
      if (!object.Equals(Experimental, other.Experimental)) return false;
      return Equals(_unknownFields, other._unknownFields);
    }
@@ -2869,6 +2937,7 @@ namespace Tensorflow {
      if (rpcOptions_ != null) hash ^= RpcOptions.GetHashCode();
      if (clusterDef_ != null) hash ^= ClusterDef.GetHashCode();
      if (IsolateSessionState != false) hash ^= IsolateSessionState.GetHashCode();
      if (ShareClusterDevicesInSession != false) hash ^= ShareClusterDevicesInSession.GetHashCode();
      if (experimental_ != null) hash ^= Experimental.GetHashCode();
      if (_unknownFields != null) {
        hash ^= _unknownFields.GetHashCode();
@@ -2938,6 +3007,10 @@ namespace Tensorflow {
        output.WriteRawTag(130, 1);
        output.WriteMessage(Experimental);
      }
      if (ShareClusterDevicesInSession != false) {
        output.WriteRawTag(136, 1);
        output.WriteBool(ShareClusterDevicesInSession);
      }
      if (_unknownFields != null) {
        _unknownFields.WriteTo(output);
      }
@@ -2985,6 +3058,9 @@ namespace Tensorflow {
      if (IsolateSessionState != false) {
        size += 1 + 1;
      }
      if (ShareClusterDevicesInSession != false) {
        size += 2 + 1;
      }
      if (experimental_ != null) {
        size += 2 + pb::CodedOutputStream.ComputeMessageSize(Experimental);
      }
@@ -3050,6 +3126,9 @@ namespace Tensorflow {
      if (other.IsolateSessionState != false) {
        IsolateSessionState = other.IsolateSessionState;
      }
      if (other.ShareClusterDevicesInSession != false) {
        ShareClusterDevicesInSession = other.ShareClusterDevicesInSession;
      }
      if (other.experimental_ != null) {
        if (experimental_ == null) {
          Experimental = new global::Tensorflow.ConfigProto.Types.Experimental();
@@ -3146,6 +3225,10 @@ namespace Tensorflow {
            input.ReadMessage(Experimental);
            break;
          }
          case 136: {
            ShareClusterDevicesInSession = input.ReadBool();
            break;
          }
        }
      }
    }
@@ -3196,6 +3279,7 @@ namespace Tensorflow {
          sessionMetadata_ = other.sessionMetadata_ != null ? other.sessionMetadata_.Clone() : null;
          optimizeForStaticGraph_ = other.optimizeForStaticGraph_;
          enableMlirBridge_ = other.enableMlirBridge_;
          enableMlirGraphOptimization_ = other.enableMlirGraphOptimization_;
          disableOutputPartitionGraphs_ = other.disableOutputPartitionGraphs_;
          xlaFusionAutotunerThresh_ = other.xlaFusionAutotunerThresh_;
          _unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
@@ -3351,10 +3435,8 @@ namespace Tensorflow {
        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).
        /// This was promoted to a non-experimental API. Please use
        /// ConfigProto.share_cluster_devices_in_session instead.
        /// </summary>
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public bool ShareClusterDevicesInSession {
@@ -3426,6 +3508,24 @@ namespace Tensorflow {
          }
        }
        /// <summary>Field number for the "enable_mlir_graph_optimization" field.</summary>
        public const int EnableMlirGraphOptimizationFieldNumber = 16;
        private bool enableMlirGraphOptimization_;
        /// <summary>
        /// Whether to enable the MLIR-based Graph optimizations.
        ///
        /// This will become a part of standard Tensorflow graph optimization
        /// pipeline, currently this is only used for gradual migration and testing
        /// new passes that are replacing existing optimizations in Grappler.
        /// </summary>
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public bool EnableMlirGraphOptimization {
          get { return enableMlirGraphOptimization_; }
          set {
            enableMlirGraphOptimization_ = value;
          }
        }
        /// <summary>Field number for the "disable_output_partition_graphs" field.</summary>
        public const int DisableOutputPartitionGraphsFieldNumber = 14;
        private bool disableOutputPartitionGraphs_;
@@ -3487,6 +3587,7 @@ namespace Tensorflow {
          if (!object.Equals(SessionMetadata, other.SessionMetadata)) return false;
          if (OptimizeForStaticGraph != other.OptimizeForStaticGraph) return false;
          if (EnableMlirBridge != other.EnableMlirBridge) return false;
          if (EnableMlirGraphOptimization != other.EnableMlirGraphOptimization) return false;
          if (DisableOutputPartitionGraphs != other.DisableOutputPartitionGraphs) return false;
          if (XlaFusionAutotunerThresh != other.XlaFusionAutotunerThresh) return false;
          return Equals(_unknownFields, other._unknownFields);
@@ -3507,6 +3608,7 @@ namespace Tensorflow {
          if (sessionMetadata_ != null) hash ^= SessionMetadata.GetHashCode();
          if (OptimizeForStaticGraph != false) hash ^= OptimizeForStaticGraph.GetHashCode();
          if (EnableMlirBridge != false) hash ^= EnableMlirBridge.GetHashCode();
          if (EnableMlirGraphOptimization != false) hash ^= EnableMlirGraphOptimization.GetHashCode();
          if (DisableOutputPartitionGraphs != false) hash ^= DisableOutputPartitionGraphs.GetHashCode();
          if (XlaFusionAutotunerThresh != 0L) hash ^= XlaFusionAutotunerThresh.GetHashCode();
          if (_unknownFields != null) {
@@ -3578,6 +3680,10 @@ namespace Tensorflow {
            output.WriteRawTag(120);
            output.WriteInt64(XlaFusionAutotunerThresh);
          }
          if (EnableMlirGraphOptimization != false) {
            output.WriteRawTag(128, 1);
            output.WriteBool(EnableMlirGraphOptimization);
          }
          if (_unknownFields != null) {
            _unknownFields.WriteTo(output);
          }
@@ -3622,6 +3728,9 @@ namespace Tensorflow {
          if (EnableMlirBridge != false) {
            size += 1 + 1;
          }
          if (EnableMlirGraphOptimization != false) {
            size += 2 + 1;
          }
          if (DisableOutputPartitionGraphs != false) {
            size += 1 + 1;
          }
@@ -3678,6 +3787,9 @@ namespace Tensorflow {
          if (other.EnableMlirBridge != false) {
            EnableMlirBridge = other.EnableMlirBridge;
          }
          if (other.EnableMlirGraphOptimization != false) {
            EnableMlirGraphOptimization = other.EnableMlirGraphOptimization;
          }
          if (other.DisableOutputPartitionGraphs != false) {
            DisableOutputPartitionGraphs = other.DisableOutputPartitionGraphs;
          }
@@ -3754,6 +3866,10 @@ namespace Tensorflow {
                XlaFusionAutotunerThresh = input.ReadInt64();
                break;
              }
              case 128: {
                EnableMlirGraphOptimization = input.ReadBool();
                break;
              }
            }
          }
        }
@@ -4147,6 +4263,7 @@ namespace Tensorflow {
        public Experimental(Experimental other) : this() {
          collectiveGraphKey_ = other.collectiveGraphKey_;
          useRunHandlerPool_ = other.useRunHandlerPool_;
          runHandlerPoolOptions_ = other.runHandlerPoolOptions_ != null ? other.runHandlerPoolOptions_.Clone() : null;
          _unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
        }
@@ -4189,6 +4306,17 @@ namespace Tensorflow {
          }
        }
        /// <summary>Field number for the "run_handler_pool_options" field.</summary>
        public const int RunHandlerPoolOptionsFieldNumber = 3;
        private global::Tensorflow.RunOptions.Types.Experimental.Types.RunHandlerPoolOptions runHandlerPoolOptions_;
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public global::Tensorflow.RunOptions.Types.Experimental.Types.RunHandlerPoolOptions RunHandlerPoolOptions {
          get { return runHandlerPoolOptions_; }
          set {
            runHandlerPoolOptions_ = value;
          }
        }
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public override bool Equals(object other) {
          return Equals(other as Experimental);
@@ -4204,6 +4332,7 @@ namespace Tensorflow {
          }
          if (CollectiveGraphKey != other.CollectiveGraphKey) return false;
          if (UseRunHandlerPool != other.UseRunHandlerPool) return false;
          if (!object.Equals(RunHandlerPoolOptions, other.RunHandlerPoolOptions)) return false;
          return Equals(_unknownFields, other._unknownFields);
        }
@@ -4212,6 +4341,7 @@ namespace Tensorflow {
          int hash = 1;
          if (CollectiveGraphKey != 0L) hash ^= CollectiveGraphKey.GetHashCode();
          if (UseRunHandlerPool != false) hash ^= UseRunHandlerPool.GetHashCode();
          if (runHandlerPoolOptions_ != null) hash ^= RunHandlerPoolOptions.GetHashCode();
          if (_unknownFields != null) {
            hash ^= _unknownFields.GetHashCode();
          }
@@ -4233,6 +4363,10 @@ namespace Tensorflow {
            output.WriteRawTag(16);
            output.WriteBool(UseRunHandlerPool);
          }
          if (runHandlerPoolOptions_ != null) {
            output.WriteRawTag(26);
            output.WriteMessage(RunHandlerPoolOptions);
          }
          if (_unknownFields != null) {
            _unknownFields.WriteTo(output);
          }
@@ -4247,6 +4381,9 @@ namespace Tensorflow {
          if (UseRunHandlerPool != false) {
            size += 1 + 1;
          }
          if (runHandlerPoolOptions_ != null) {
            size += 1 + pb::CodedOutputStream.ComputeMessageSize(RunHandlerPoolOptions);
          }
          if (_unknownFields != null) {
            size += _unknownFields.CalculateSize();
          }
@@ -4264,6 +4401,12 @@ namespace Tensorflow {
          if (other.UseRunHandlerPool != false) {
            UseRunHandlerPool = other.UseRunHandlerPool;
          }
          if (other.runHandlerPoolOptions_ != null) {
            if (runHandlerPoolOptions_ == null) {
              RunHandlerPoolOptions = new global::Tensorflow.RunOptions.Types.Experimental.Types.RunHandlerPoolOptions();
            }
            RunHandlerPoolOptions.MergeFrom(other.RunHandlerPoolOptions);
          }
          _unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
        }
@@ -4283,9 +4426,159 @@ namespace Tensorflow {
                UseRunHandlerPool = input.ReadBool();
                break;
              }
              case 26: {
                if (runHandlerPoolOptions_ == null) {
                  RunHandlerPoolOptions = new global::Tensorflow.RunOptions.Types.Experimental.Types.RunHandlerPoolOptions();
                }
                input.ReadMessage(RunHandlerPoolOptions);
                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>
          /// Options for run handler thread pool.
          /// </summary>
          public sealed partial class RunHandlerPoolOptions : pb::IMessage<RunHandlerPoolOptions> {
            private static readonly pb::MessageParser<RunHandlerPoolOptions> _parser = new pb::MessageParser<RunHandlerPoolOptions>(() => new RunHandlerPoolOptions());
            private pb::UnknownFieldSet _unknownFields;
            [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
            public static pb::MessageParser<RunHandlerPoolOptions> Parser { get { return _parser; } }
            [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
            public static pbr::MessageDescriptor Descriptor {
              get { return global::Tensorflow.RunOptions.Types.Experimental.Descriptor.NestedTypes[0]; }
            }
            [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
            pbr::MessageDescriptor pb::IMessage.Descriptor {
              get { return Descriptor; }
            }
            [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
            public RunHandlerPoolOptions() {
              OnConstruction();
            }
            partial void OnConstruction();
            [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
            public RunHandlerPoolOptions(RunHandlerPoolOptions other) : this() {
              priority_ = other.priority_;
              _unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
            }
            [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
            public RunHandlerPoolOptions Clone() {
              return new RunHandlerPoolOptions(this);
            }
            /// <summary>Field number for the "priority" field.</summary>
            public const int PriorityFieldNumber = 1;
            private long priority_;
            /// <summary>
            /// Priority of the request. The run handler thread pool will schedule ops
            /// based on the priority number. The larger number means higher priority.
            /// </summary>
            [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
            public long Priority {
              get { return priority_; }
              set {
                priority_ = value;
              }
            }
            [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
            public override bool Equals(object other) {
              return Equals(other as RunHandlerPoolOptions);
            }
            [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
            public bool Equals(RunHandlerPoolOptions other) {
              if (ReferenceEquals(other, null)) {
                return false;
              }
              if (ReferenceEquals(other, this)) {
                return true;
              }
              if (Priority != other.Priority) return false;
              return Equals(_unknownFields, other._unknownFields);
            }
            [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
            public override int GetHashCode() {
              int hash = 1;
              if (Priority != 0L) hash ^= Priority.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 (Priority != 0L) {
                output.WriteRawTag(8);
                output.WriteInt64(Priority);
              }
              if (_unknownFields != null) {
                _unknownFields.WriteTo(output);
              }
            }
            [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
            public int CalculateSize() {
              int size = 0;
              if (Priority != 0L) {
                size += 1 + pb::CodedOutputStream.ComputeInt64Size(Priority);
              }
              if (_unknownFields != null) {
                size += _unknownFields.CalculateSize();
              }
              return size;
            }
            [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
            public void MergeFrom(RunHandlerPoolOptions other) {
              if (other == null) {
                return;
              }
              if (other.Priority != 0L) {
                Priority = other.Priority;
              }
              _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: {
                    Priority = input.ReadInt64();
                    break;
                  }
                }
              }
            }
          }
        }
        #endregion
      }
--- a/src/TensorFlowNET.Core/Protobuf/ControlFlow.cs
+++ b/src/TensorFlowNET.Core/Protobuf/ControlFlow.cs
@@ -44,10 +44,10 @@ namespace Tensorflow {
            "X2VudGVyX25hbWVzGAogAygJEikKCnZhbHVlc19kZWYYCSABKAsyFS50ZW5z",
            "b3JmbG93LlZhbHVlc0RlZhIfChdtYXhpbXVtX2l0ZXJhdGlvbnNfbmFtZRgL",
            "IAEoCRI6Cg9uZXN0ZWRfY29udGV4dHMYDCADKAsyIS50ZW5zb3JmbG93LkNv",
            "bnRyb2xGbG93Q29udGV4dERlZkJwChhvcmcudGVuc29yZmxvdy5mcmFtZXdv",
            "cmtCEUNvbnRyb2xGbG93UHJvdG9zUAFaPGdpdGh1Yi5jb20vdGVuc29yZmxv",
            "dy90ZW5zb3JmbG93L3RlbnNvcmZsb3cvZ28vY29yZS9wcm90b2J1ZvgBAWIG",
            "cHJvdG8z"));
            "bnRyb2xGbG93Q29udGV4dERlZkJ8ChhvcmcudGVuc29yZmxvdy5mcmFtZXdv",
            "cmtCEUNvbnRyb2xGbG93UHJvdG9zUAFaSGdpdGh1Yi5jb20vdGVuc29yZmxv",
            "dy90ZW5zb3JmbG93L3RlbnNvcmZsb3cvZ28vY29yZS9jb3JlX3Byb3Rvc19n",
            "b19wcm90b/gBAWIGcHJvdG8z"));
      descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
          new pbr::FileDescriptor[] { },
          new pbr::GeneratedClrTypeInfo(null, null, new pbr::GeneratedClrTypeInfo[] {
--- a/src/TensorFlowNET.Core/Protobuf/CostGraph.cs
+++ b/src/TensorFlowNET.Core/Protobuf/CostGraph.cs
@@ -27,31 +27,35 @@ namespace Tensorflow {
            "Cip0ZW5zb3JmbG93L2NvcmUvZnJhbWV3b3JrL2Nvc3RfZ3JhcGgucHJvdG8S",
            "CnRlbnNvcmZsb3caLHRlbnNvcmZsb3cvY29yZS9mcmFtZXdvcmsvdGVuc29y",
            "X3NoYXBlLnByb3RvGiV0ZW5zb3JmbG93L2NvcmUvZnJhbWV3b3JrL3R5cGVz",
            "LnByb3RvIuAFCgxDb3N0R3JhcGhEZWYSKwoEbm9kZRgBIAMoCzIdLnRlbnNv",
            "cmZsb3cuQ29zdEdyYXBoRGVmLk5vZGUaogUKBE5vZGUSDAoEbmFtZRgBIAEo",
            "CRIOCgZkZXZpY2UYAiABKAkSCgoCaWQYAyABKAUSOwoKaW5wdXRfaW5mbxgE",
            "IAMoCzInLnRlbnNvcmZsb3cuQ29zdEdyYXBoRGVmLk5vZGUuSW5wdXRJbmZv",
            "Ej0KC291dHB1dF9pbmZvGAUgAygLMigudGVuc29yZmxvdy5Db3N0R3JhcGhE",
            "ZWYuTm9kZS5PdXRwdXRJbmZvEh0KFXRlbXBvcmFyeV9tZW1vcnlfc2l6ZRgG",
            "IAEoAxIeChZwZXJzaXN0ZW50X21lbW9yeV9zaXplGAwgASgDEiEKFWhvc3Rf",
            "dGVtcF9tZW1vcnlfc2l6ZRgKIAEoA0ICGAESIwoXZGV2aWNlX3RlbXBfbWVt",
            "b3J5X3NpemUYCyABKANCAhgBEikKHWRldmljZV9wZXJzaXN0ZW50X21lbW9y",
            "eV9zaXplGBAgASgDQgIYARIUCgxjb21wdXRlX2Nvc3QYCSABKAMSFAoMY29t",
            "cHV0ZV90aW1lGA4gASgDEhMKC21lbW9yeV90aW1lGA8gASgDEhAKCGlzX2Zp",
            "bmFsGAcgASgIEhUKDWNvbnRyb2xfaW5wdXQYCCADKAUSEgoKaW5hY2N1cmF0",
            "ZRgRIAEoCBo7CglJbnB1dEluZm8SFgoOcHJlY2VkaW5nX25vZGUYASABKAUS",
            "FgoOcHJlY2VkaW5nX3BvcnQYAiABKAUahgEKCk91dHB1dEluZm8SDAoEc2l6",
            "ZRgBIAEoAxIYChBhbGlhc19pbnB1dF9wb3J0GAIgASgDEisKBXNoYXBlGAMg",
            "ASgLMhwudGVuc29yZmxvdy5UZW5zb3JTaGFwZVByb3RvEiMKBWR0eXBlGAQg",
            "ASgOMhQudGVuc29yZmxvdy5EYXRhVHlwZUJvChhvcmcudGVuc29yZmxvdy5m",
            "cmFtZXdvcmtCD0Nvc3RHcmFwaFByb3Rvc1ABWj1naXRodWIuY29tL3RlbnNv",
            "cmZsb3cvdGVuc29yZmxvdy90ZW5zb3JmbG93L2dvL2NvcmUvZnJhbWV3b3Jr",
            "+AEBYgZwcm90bzM="));
            "LnByb3RvIsoGCgxDb3N0R3JhcGhEZWYSKwoEbm9kZRgBIAMoCzIdLnRlbnNv",
            "cmZsb3cuQ29zdEdyYXBoRGVmLk5vZGUSNQoEY29zdBgCIAMoCzInLnRlbnNv",
            "cmZsb3cuQ29zdEdyYXBoRGVmLkFnZ3JlZ2F0ZWRDb3N0GqIFCgROb2RlEgwK",
            "BG5hbWUYASABKAkSDgoGZGV2aWNlGAIgASgJEgoKAmlkGAMgASgFEjsKCmlu",
            "cHV0X2luZm8YBCADKAsyJy50ZW5zb3JmbG93LkNvc3RHcmFwaERlZi5Ob2Rl",
            "LklucHV0SW5mbxI9CgtvdXRwdXRfaW5mbxgFIAMoCzIoLnRlbnNvcmZsb3cu",
            "Q29zdEdyYXBoRGVmLk5vZGUuT3V0cHV0SW5mbxIdChV0ZW1wb3JhcnlfbWVt",
            "b3J5X3NpemUYBiABKAMSHgoWcGVyc2lzdGVudF9tZW1vcnlfc2l6ZRgMIAEo",
            "AxIhChVob3N0X3RlbXBfbWVtb3J5X3NpemUYCiABKANCAhgBEiMKF2Rldmlj",
            "ZV90ZW1wX21lbW9yeV9zaXplGAsgASgDQgIYARIpCh1kZXZpY2VfcGVyc2lz",
            "dGVudF9tZW1vcnlfc2l6ZRgQIAEoA0ICGAESFAoMY29tcHV0ZV9jb3N0GAkg",
            "ASgDEhQKDGNvbXB1dGVfdGltZRgOIAEoAxITCgttZW1vcnlfdGltZRgPIAEo",
            "AxIQCghpc19maW5hbBgHIAEoCBIVCg1jb250cm9sX2lucHV0GAggAygFEhIK",
            "CmluYWNjdXJhdGUYESABKAgaOwoJSW5wdXRJbmZvEhYKDnByZWNlZGluZ19u",
            "b2RlGAEgASgFEhYKDnByZWNlZGluZ19wb3J0GAIgASgFGoYBCgpPdXRwdXRJ",
            "bmZvEgwKBHNpemUYASABKAMSGAoQYWxpYXNfaW5wdXRfcG9ydBgCIAEoAxIr",
            "CgVzaGFwZRgDIAEoCzIcLnRlbnNvcmZsb3cuVGVuc29yU2hhcGVQcm90bxIj",
            "CgVkdHlwZRgEIAEoDjIULnRlbnNvcmZsb3cuRGF0YVR5cGUaMQoOQWdncmVn",
            "YXRlZENvc3QSDAoEY29zdBgBIAEoAhIRCglkaW1lbnNpb24YAiABKAlCgwEK",
            "GG9yZy50ZW5zb3JmbG93LmZyYW1ld29ya0IPQ29zdEdyYXBoUHJvdG9zUAFa",
            "UWdpdGh1Yi5jb20vdGVuc29yZmxvdy90ZW5zb3JmbG93L3RlbnNvcmZsb3cv",
            "Z28vY29yZS9mcmFtZXdvcmsvY29zdF9ncmFwaF9nb19wcm90b/gBAWIGcHJv",
            "dG8z"));
      descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
          new pbr::FileDescriptor[] { global::Tensorflow.TensorShapeReflection.Descriptor, global::Tensorflow.TypesReflection.Descriptor, },
          new pbr::GeneratedClrTypeInfo(null, null, new pbr::GeneratedClrTypeInfo[] {
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.CostGraphDef), global::Tensorflow.CostGraphDef.Parser, new[]{ "Node" }, null, null, null, new pbr::GeneratedClrTypeInfo[] { new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.CostGraphDef.Types.Node), global::Tensorflow.CostGraphDef.Types.Node.Parser, new[]{ "Name", "Device", "Id", "InputInfo", "OutputInfo", "TemporaryMemorySize", "PersistentMemorySize", "HostTempMemorySize", "DeviceTempMemorySize", "DevicePersistentMemorySize", "ComputeCost", "ComputeTime", "MemoryTime", "IsFinal", "ControlInput", "Inaccurate" }, null, null, null, new pbr::GeneratedClrTypeInfo[] { new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.CostGraphDef.Types.Node.Types.InputInfo), global::Tensorflow.CostGraphDef.Types.Node.Types.InputInfo.Parser, new[]{ "PrecedingNode", "PrecedingPort" }, null, null, null, null),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.CostGraphDef.Types.Node.Types.OutputInfo), global::Tensorflow.CostGraphDef.Types.Node.Types.OutputInfo.Parser, new[]{ "Size", "AliasInputPort", "Shape", "Dtype" }, null, null, null, null)})})
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.CostGraphDef), global::Tensorflow.CostGraphDef.Parser, new[]{ "Node", "Cost" }, null, null, null, new pbr::GeneratedClrTypeInfo[] { new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.CostGraphDef.Types.Node), global::Tensorflow.CostGraphDef.Types.Node.Parser, new[]{ "Name", "Device", "Id", "InputInfo", "OutputInfo", "TemporaryMemorySize", "PersistentMemorySize", "HostTempMemorySize", "DeviceTempMemorySize", "DevicePersistentMemorySize", "ComputeCost", "ComputeTime", "MemoryTime", "IsFinal", "ControlInput", "Inaccurate" }, null, null, null, new pbr::GeneratedClrTypeInfo[] { new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.CostGraphDef.Types.Node.Types.InputInfo), global::Tensorflow.CostGraphDef.Types.Node.Types.InputInfo.Parser, new[]{ "PrecedingNode", "PrecedingPort" }, null, null, null, null),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.CostGraphDef.Types.Node.Types.OutputInfo), global::Tensorflow.CostGraphDef.Types.Node.Types.OutputInfo.Parser, new[]{ "Size", "AliasInputPort", "Shape", "Dtype" }, null, null, null, null)}),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.CostGraphDef.Types.AggregatedCost), global::Tensorflow.CostGraphDef.Types.AggregatedCost.Parser, new[]{ "Cost", "Dimension" }, null, null, null, null)})
          }));
    }
    #endregion
@@ -84,6 +88,7 @@ namespace Tensorflow {
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public CostGraphDef(CostGraphDef other) : this() {
      node_ = other.node_.Clone();
      cost_ = other.cost_.Clone();
      _unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
    }
@@ -102,6 +107,16 @@ namespace Tensorflow {
      get { return node_; }
    }
    /// <summary>Field number for the "cost" field.</summary>
    public const int CostFieldNumber = 2;
    private static readonly pb::FieldCodec<global::Tensorflow.CostGraphDef.Types.AggregatedCost> _repeated_cost_codec
        = pb::FieldCodec.ForMessage(18, global::Tensorflow.CostGraphDef.Types.AggregatedCost.Parser);
    private readonly pbc::RepeatedField<global::Tensorflow.CostGraphDef.Types.AggregatedCost> cost_ = new pbc::RepeatedField<global::Tensorflow.CostGraphDef.Types.AggregatedCost>();
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public pbc::RepeatedField<global::Tensorflow.CostGraphDef.Types.AggregatedCost> Cost {
      get { return cost_; }
    }
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public override bool Equals(object other) {
      return Equals(other as CostGraphDef);
@@ -116,6 +131,7 @@ namespace Tensorflow {
        return true;
      }
      if(!node_.Equals(other.node_)) return false;
      if(!cost_.Equals(other.cost_)) return false;
      return Equals(_unknownFields, other._unknownFields);
    }
@@ -123,6 +139,7 @@ namespace Tensorflow {
    public override int GetHashCode() {
      int hash = 1;
      hash ^= node_.GetHashCode();
      hash ^= cost_.GetHashCode();
      if (_unknownFields != null) {
        hash ^= _unknownFields.GetHashCode();
      }
@@ -137,6 +154,7 @@ namespace Tensorflow {
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public void WriteTo(pb::CodedOutputStream output) {
      node_.WriteTo(output, _repeated_node_codec);
      cost_.WriteTo(output, _repeated_cost_codec);
      if (_unknownFields != null) {
        _unknownFields.WriteTo(output);
      }
@@ -146,6 +164,7 @@ namespace Tensorflow {
    public int CalculateSize() {
      int size = 0;
      size += node_.CalculateSize(_repeated_node_codec);
      size += cost_.CalculateSize(_repeated_cost_codec);
      if (_unknownFields != null) {
        size += _unknownFields.CalculateSize();
      }
@@ -158,6 +177,7 @@ namespace Tensorflow {
        return;
      }
      node_.Add(other.node_);
      cost_.Add(other.cost_);
      _unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
    }
@@ -173,6 +193,10 @@ namespace Tensorflow {
            node_.AddEntriesFrom(input, _repeated_node_codec);
            break;
          }
          case 18: {
            cost_.AddEntriesFrom(input, _repeated_cost_codec);
            break;
          }
        }
      }
    }
@@ -1143,6 +1167,172 @@ namespace Tensorflow {
      }
      /// <summary>
      /// Total cost of this graph, typically used for balancing decisions.
      /// </summary>
      public sealed partial class AggregatedCost : pb::IMessage<AggregatedCost> {
        private static readonly pb::MessageParser<AggregatedCost> _parser = new pb::MessageParser<AggregatedCost>(() => new AggregatedCost());
        private pb::UnknownFieldSet _unknownFields;
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public static pb::MessageParser<AggregatedCost> Parser { get { return _parser; } }
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public static pbr::MessageDescriptor Descriptor {
          get { return global::Tensorflow.CostGraphDef.Descriptor.NestedTypes[1]; }
        }
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        pbr::MessageDescriptor pb::IMessage.Descriptor {
          get { return Descriptor; }
        }
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public AggregatedCost() {
          OnConstruction();
        }
        partial void OnConstruction();
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public AggregatedCost(AggregatedCost other) : this() {
          cost_ = other.cost_;
          dimension_ = other.dimension_;
          _unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
        }
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public AggregatedCost Clone() {
          return new AggregatedCost(this);
        }
        /// <summary>Field number for the "cost" field.</summary>
        public const int CostFieldNumber = 1;
        private float cost_;
        /// <summary>
        /// Aggregated cost value.
        /// </summary>
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public float Cost {
          get { return cost_; }
          set {
            cost_ = value;
          }
        }
        /// <summary>Field number for the "dimension" field.</summary>
        public const int DimensionFieldNumber = 2;
        private string dimension_ = "";
        /// <summary>
        /// Aggregated cost dimension (e.g. 'memory', 'compute', 'network').
        /// </summary>
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public string Dimension {
          get { return dimension_; }
          set {
            dimension_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
          }
        }
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public override bool Equals(object other) {
          return Equals(other as AggregatedCost);
        }
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public bool Equals(AggregatedCost other) {
          if (ReferenceEquals(other, null)) {
            return false;
          }
          if (ReferenceEquals(other, this)) {
            return true;
          }
          if (!pbc::ProtobufEqualityComparers.BitwiseSingleEqualityComparer.Equals(Cost, other.Cost)) return false;
          if (Dimension != other.Dimension) return false;
          return Equals(_unknownFields, other._unknownFields);
        }
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public override int GetHashCode() {
          int hash = 1;
          if (Cost != 0F) hash ^= pbc::ProtobufEqualityComparers.BitwiseSingleEqualityComparer.GetHashCode(Cost);
          if (Dimension.Length != 0) hash ^= Dimension.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 (Cost != 0F) {
            output.WriteRawTag(13);
            output.WriteFloat(Cost);
          }
          if (Dimension.Length != 0) {
            output.WriteRawTag(18);
            output.WriteString(Dimension);
          }
          if (_unknownFields != null) {
            _unknownFields.WriteTo(output);
          }
        }
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public int CalculateSize() {
          int size = 0;
          if (Cost != 0F) {
            size += 1 + 4;
          }
          if (Dimension.Length != 0) {
            size += 1 + pb::CodedOutputStream.ComputeStringSize(Dimension);
          }
          if (_unknownFields != null) {
            size += _unknownFields.CalculateSize();
          }
          return size;
        }
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public void MergeFrom(AggregatedCost other) {
          if (other == null) {
            return;
          }
          if (other.Cost != 0F) {
            Cost = other.Cost;
          }
          if (other.Dimension.Length != 0) {
            Dimension = other.Dimension;
          }
          _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 13: {
                Cost = input.ReadFloat();
                break;
              }
              case 18: {
                Dimension = input.ReadString();
                break;
              }
            }
          }
        }
      }
    }
    #endregion
--- a/src/TensorFlowNET.Core/Protobuf/CppShapeInference.cs
+++ b/src/TensorFlowNET.Core/Protobuf/CppShapeInference.cs
@@ -41,10 +41,10 @@ namespace Tensorflow {
            "cHJvdG8z"));
      descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
          new pbr::FileDescriptor[] { global::Tensorflow.TypesReflection.Descriptor, global::Tensorflow.TensorShapeReflection.Descriptor, },
          new pbr::GeneratedClrTypeInfo(null, new pbr::GeneratedClrTypeInfo[] {
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.CppShapeInferenceResult), global::Tensorflow.CppShapeInferenceResult.Parser, new[]{ "Shape", "HandleData" }, null, null, new pbr::GeneratedClrTypeInfo[] { new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.CppShapeInferenceResult.Types.HandleShapeAndType), global::Tensorflow.CppShapeInferenceResult.Types.HandleShapeAndType.Parser, new[]{ "Shape", "Dtype" }, null, null, null),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.CppShapeInferenceResult.Types.HandleData), global::Tensorflow.CppShapeInferenceResult.Types.HandleData.Parser, new[]{ "IsSet", "ShapeAndType" }, null, null, null)}),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.CppShapeInferenceInputsNeeded), global::Tensorflow.CppShapeInferenceInputsNeeded.Parser, new[]{ "InputTensorsNeeded", "InputTensorsAsShapesNeeded" }, null, null, null)
          new pbr::GeneratedClrTypeInfo(null, null, new pbr::GeneratedClrTypeInfo[] {
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.CppShapeInferenceResult), global::Tensorflow.CppShapeInferenceResult.Parser, new[]{ "Shape", "HandleData" }, null, null, null, new pbr::GeneratedClrTypeInfo[] { new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.CppShapeInferenceResult.Types.HandleShapeAndType), global::Tensorflow.CppShapeInferenceResult.Types.HandleShapeAndType.Parser, new[]{ "Shape", "Dtype" }, null, null, null, null),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.CppShapeInferenceResult.Types.HandleData), global::Tensorflow.CppShapeInferenceResult.Types.HandleData.Parser, new[]{ "IsSet", "ShapeAndType" }, null, null, null, null)}),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.CppShapeInferenceInputsNeeded), global::Tensorflow.CppShapeInferenceInputsNeeded.Parser, new[]{ "InputTensorsNeeded", "InputTensorsAsShapesNeeded" }, null, null, null, null)
          }));
    }
    #endregion
@@ -179,13 +179,13 @@ namespace Tensorflow {
      }
      if (other.shape_ != null) {
        if (shape_ == null) {
          shape_ = new global::Tensorflow.TensorShapeProto();
          Shape = new global::Tensorflow.TensorShapeProto();
        }
        Shape.MergeFrom(other.Shape);
      }
      if (other.handleData_ != null) {
        if (handleData_ == null) {
          handleData_ = new global::Tensorflow.CppShapeInferenceResult.Types.HandleData();
          HandleData = new global::Tensorflow.CppShapeInferenceResult.Types.HandleData();
        }
        HandleData.MergeFrom(other.HandleData);
      }
@@ -202,16 +202,16 @@ namespace Tensorflow {
            break;
          case 10: {
            if (shape_ == null) {
              shape_ = new global::Tensorflow.TensorShapeProto();
              Shape = new global::Tensorflow.TensorShapeProto();
            }
            input.ReadMessage(shape_);
            input.ReadMessage(Shape);
            break;
          }
          case 34: {
            if (handleData_ == null) {
              handleData_ = new global::Tensorflow.CppShapeInferenceResult.Types.HandleData();
              HandleData = new global::Tensorflow.CppShapeInferenceResult.Types.HandleData();
            }
            input.ReadMessage(handleData_);
            input.ReadMessage(HandleData);
            break;
          }
        }
@@ -270,7 +270,7 @@ namespace Tensorflow {
        /// <summary>Field number for the "dtype" field.</summary>
        public const int DtypeFieldNumber = 2;
        private global::Tensorflow.DataType dtype_ = 0;
        private global::Tensorflow.DataType dtype_ = global::Tensorflow.DataType.DtInvalid;
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public global::Tensorflow.DataType Dtype {
          get { return dtype_; }
@@ -301,7 +301,7 @@ namespace Tensorflow {
        public override int GetHashCode() {
          int hash = 1;
          if (shape_ != null) hash ^= Shape.GetHashCode();
          if (Dtype != 0) hash ^= Dtype.GetHashCode();
          if (Dtype != global::Tensorflow.DataType.DtInvalid) hash ^= Dtype.GetHashCode();
          if (_unknownFields != null) {
            hash ^= _unknownFields.GetHashCode();
          }
@@ -319,7 +319,7 @@ namespace Tensorflow {
            output.WriteRawTag(10);
            output.WriteMessage(Shape);
          }
          if (Dtype != 0) {
          if (Dtype != global::Tensorflow.DataType.DtInvalid) {
            output.WriteRawTag(16);
            output.WriteEnum((int) Dtype);
          }
@@ -334,7 +334,7 @@ namespace Tensorflow {
          if (shape_ != null) {
            size += 1 + pb::CodedOutputStream.ComputeMessageSize(Shape);
          }
          if (Dtype != 0) {
          if (Dtype != global::Tensorflow.DataType.DtInvalid) {
            size += 1 + pb::CodedOutputStream.ComputeEnumSize((int) Dtype);
          }
          if (_unknownFields != null) {
@@ -350,11 +350,11 @@ namespace Tensorflow {
          }
          if (other.shape_ != null) {
            if (shape_ == null) {
              shape_ = new global::Tensorflow.TensorShapeProto();
              Shape = new global::Tensorflow.TensorShapeProto();
            }
            Shape.MergeFrom(other.Shape);
          }
          if (other.Dtype != 0) {
          if (other.Dtype != global::Tensorflow.DataType.DtInvalid) {
            Dtype = other.Dtype;
          }
          _unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
@@ -370,13 +370,13 @@ namespace Tensorflow {
                break;
              case 10: {
                if (shape_ == null) {
                  shape_ = new global::Tensorflow.TensorShapeProto();
                  Shape = new global::Tensorflow.TensorShapeProto();
                }
                input.ReadMessage(shape_);
                input.ReadMessage(Shape);
                break;
              }
              case 16: {
                dtype_ = (global::Tensorflow.DataType) input.ReadEnum();
                Dtype = (global::Tensorflow.DataType) input.ReadEnum();
                break;
              }
            }
--- a/src/TensorFlowNET.Core/Protobuf/Debug.cs
+++ b/src/TensorFlowNET.Core/Protobuf/Debug.cs
@@ -35,9 +35,10 @@ namespace Tensorflow {
            "ASgJEhEKCWZpbGVfcGF0aBgCIAEoCRIVCg1sYXN0X21vZGlmaWVkGAMgASgD",
            "Eg0KBWJ5dGVzGAQgASgDEg0KBWxpbmVzGAUgAygJIksKE0RlYnVnZ2VkU291",
            "cmNlRmlsZXMSNAoMc291cmNlX2ZpbGVzGAEgAygLMh4udGVuc29yZmxvdy5E",
            "ZWJ1Z2dlZFNvdXJjZUZpbGVCagoYb3JnLnRlbnNvcmZsb3cuZnJhbWV3b3Jr",
            "QgtEZWJ1Z1Byb3Rvc1ABWjxnaXRodWIuY29tL3RlbnNvcmZsb3cvdGVuc29y",
            "Zmxvdy90ZW5zb3JmbG93L2dvL2NvcmUvcHJvdG9idWb4AQFiBnByb3RvMw=="));
            "ZWJ1Z2dlZFNvdXJjZUZpbGVCdgoYb3JnLnRlbnNvcmZsb3cuZnJhbWV3b3Jr",
            "QgtEZWJ1Z1Byb3Rvc1ABWkhnaXRodWIuY29tL3RlbnNvcmZsb3cvdGVuc29y",
            "Zmxvdy90ZW5zb3JmbG93L2dvL2NvcmUvY29yZV9wcm90b3NfZ29fcHJvdG/4",
            "AQFiBnByb3RvMw=="));
      descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
          new pbr::FileDescriptor[] { },
          new pbr::GeneratedClrTypeInfo(null, null, new pbr::GeneratedClrTypeInfo[] {
--- a/src/TensorFlowNET.Core/Protobuf/DeviceAttributes.cs
+++ b/src/TensorFlowNET.Core/Protobuf/DeviceAttributes.cs
@@ -34,10 +34,10 @@ namespace Tensorflow {
            "IAEoCRITCgtkZXZpY2VfdHlwZRgCIAEoCRIUCgxtZW1vcnlfbGltaXQYBCAB",
            "KAMSLAoIbG9jYWxpdHkYBSABKAsyGi50ZW5zb3JmbG93LkRldmljZUxvY2Fs",
            "aXR5EhMKC2luY2FybmF0aW9uGAYgASgGEhwKFHBoeXNpY2FsX2RldmljZV9k",
            "ZXNjGAcgASgJQnYKGG9yZy50ZW5zb3JmbG93LmZyYW1ld29ya0IWRGV2aWNl",
            "QXR0cmlidXRlc1Byb3Rvc1ABWj1naXRodWIuY29tL3RlbnNvcmZsb3cvdGVu",
            "c29yZmxvdy90ZW5zb3JmbG93L2dvL2NvcmUvZnJhbWV3b3Jr+AEBYgZwcm90",
            "bzM="));
            "ZXNjGAcgASgJQpEBChhvcmcudGVuc29yZmxvdy5mcmFtZXdvcmtCFkRldmlj",
            "ZUF0dHJpYnV0ZXNQcm90b3NQAVpYZ2l0aHViLmNvbS90ZW5zb3JmbG93L3Rl",
            "bnNvcmZsb3cvdGVuc29yZmxvdy9nby9jb3JlL2ZyYW1ld29yay9kZXZpY2Vf",
            "YXR0cmlidXRlc19nb19wcm90b/gBAWIGcHJvdG8z"));
      descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
          new pbr::FileDescriptor[] { },
          new pbr::GeneratedClrTypeInfo(null, null, new pbr::GeneratedClrTypeInfo[] {
--- a/src/TensorFlowNET.Core/Protobuf/Function.cs
+++ b/src/TensorFlowNET.Core/Protobuf/Function.cs
@@ -30,32 +30,36 @@ namespace Tensorflow {
            "cHJvdG8aJnRlbnNvcmZsb3cvY29yZS9mcmFtZXdvcmsvb3BfZGVmLnByb3Rv",
            "ImoKEkZ1bmN0aW9uRGVmTGlicmFyeRIpCghmdW5jdGlvbhgBIAMoCzIXLnRl",
            "bnNvcmZsb3cuRnVuY3Rpb25EZWYSKQoIZ3JhZGllbnQYAiADKAsyFy50ZW5z",
            "b3JmbG93LkdyYWRpZW50RGVmIrYFCgtGdW5jdGlvbkRlZhIkCglzaWduYXR1",
            "b3JmbG93LkdyYWRpZW50RGVmIsQGCgtGdW5jdGlvbkRlZhIkCglzaWduYXR1",
            "cmUYASABKAsyES50ZW5zb3JmbG93Lk9wRGVmEi8KBGF0dHIYBSADKAsyIS50",
            "ZW5zb3JmbG93LkZ1bmN0aW9uRGVmLkF0dHJFbnRyeRI2CghhcmdfYXR0chgH",
            "IAMoCzIkLnRlbnNvcmZsb3cuRnVuY3Rpb25EZWYuQXJnQXR0ckVudHJ5EiUK",
            "CG5vZGVfZGVmGAMgAygLMhMudGVuc29yZmxvdy5Ob2RlRGVmEi0KA3JldBgE",
            "IAMoCzIgLnRlbnNvcmZsb3cuRnVuY3Rpb25EZWYuUmV0RW50cnkSPAoLY29u",
            "dHJvbF9yZXQYBiADKAsyJy50ZW5zb3JmbG93LkZ1bmN0aW9uRGVmLkNvbnRy",
            "b2xSZXRFbnRyeRpCCglBdHRyRW50cnkSCwoDa2V5GAEgASgJEiQKBXZhbHVl",
            "GAIgASgLMhUudGVuc29yZmxvdy5BdHRyVmFsdWU6AjgBGogBCghBcmdBdHRy",
            "cxI4CgRhdHRyGAEgAygLMioudGVuc29yZmxvdy5GdW5jdGlvbkRlZi5BcmdB",
            "dHRycy5BdHRyRW50cnkaQgoJQXR0ckVudHJ5EgsKA2tleRgBIAEoCRIkCgV2",
            "YWx1ZRgCIAEoCzIVLnRlbnNvcmZsb3cuQXR0clZhbHVlOgI4ARpQCgxBcmdB",
            "dHRyRW50cnkSCwoDa2V5GAEgASgNEi8KBXZhbHVlGAIgASgLMiAudGVuc29y",
            "Zmxvdy5GdW5jdGlvbkRlZi5BcmdBdHRyczoCOAEaKgoIUmV0RW50cnkSCwoD",
            "a2V5GAEgASgJEg0KBXZhbHVlGAIgASgJOgI4ARoxCg9Db250cm9sUmV0RW50",
            "cnkSCwoDa2V5GAEgASgJEg0KBXZhbHVlGAIgASgJOgI4AUoECAIQAyI7CgtH",
            "cmFkaWVudERlZhIVCg1mdW5jdGlvbl9uYW1lGAEgASgJEhUKDWdyYWRpZW50",
            "X2Z1bmMYAiABKAlCbgoYb3JnLnRlbnNvcmZsb3cuZnJhbWV3b3JrQg5GdW5j",
            "dGlvblByb3Rvc1ABWj1naXRodWIuY29tL3RlbnNvcmZsb3cvdGVuc29yZmxv",
            "dy90ZW5zb3JmbG93L2dvL2NvcmUvZnJhbWV3b3Jr+AEBYgZwcm90bzM="));
            "IAMoCzIkLnRlbnNvcmZsb3cuRnVuY3Rpb25EZWYuQXJnQXR0ckVudHJ5ElAK",
            "FnJlc291cmNlX2FyZ191bmlxdWVfaWQYCCADKAsyMC50ZW5zb3JmbG93LkZ1",
            "bmN0aW9uRGVmLlJlc291cmNlQXJnVW5pcXVlSWRFbnRyeRIlCghub2RlX2Rl",
            "ZhgDIAMoCzITLnRlbnNvcmZsb3cuTm9kZURlZhItCgNyZXQYBCADKAsyIC50",
            "ZW5zb3JmbG93LkZ1bmN0aW9uRGVmLlJldEVudHJ5EjwKC2NvbnRyb2xfcmV0",
            "GAYgAygLMicudGVuc29yZmxvdy5GdW5jdGlvbkRlZi5Db250cm9sUmV0RW50",
            "cnkaQgoJQXR0ckVudHJ5EgsKA2tleRgBIAEoCRIkCgV2YWx1ZRgCIAEoCzIV",
            "LnRlbnNvcmZsb3cuQXR0clZhbHVlOgI4ARqIAQoIQXJnQXR0cnMSOAoEYXR0",
            "chgBIAMoCzIqLnRlbnNvcmZsb3cuRnVuY3Rpb25EZWYuQXJnQXR0cnMuQXR0",
            "ckVudHJ5GkIKCUF0dHJFbnRyeRILCgNrZXkYASABKAkSJAoFdmFsdWUYAiAB",
            "KAsyFS50ZW5zb3JmbG93LkF0dHJWYWx1ZToCOAEaUAoMQXJnQXR0ckVudHJ5",
            "EgsKA2tleRgBIAEoDRIvCgV2YWx1ZRgCIAEoCzIgLnRlbnNvcmZsb3cuRnVu",
            "Y3Rpb25EZWYuQXJnQXR0cnM6AjgBGjoKGFJlc291cmNlQXJnVW5pcXVlSWRF",
            "bnRyeRILCgNrZXkYASABKA0SDQoFdmFsdWUYAiABKA06AjgBGioKCFJldEVu",
            "dHJ5EgsKA2tleRgBIAEoCRINCgV2YWx1ZRgCIAEoCToCOAEaMQoPQ29udHJv",
            "bFJldEVudHJ5EgsKA2tleRgBIAEoCRINCgV2YWx1ZRgCIAEoCToCOAFKBAgC",
            "EAMiOwoLR3JhZGllbnREZWYSFQoNZnVuY3Rpb25fbmFtZRgBIAEoCRIVCg1n",
            "cmFkaWVudF9mdW5jGAIgASgJQoABChhvcmcudGVuc29yZmxvdy5mcmFtZXdv",
            "cmtCDkZ1bmN0aW9uUHJvdG9zUAFaT2dpdGh1Yi5jb20vdGVuc29yZmxvdy90",
            "ZW5zb3JmbG93L3RlbnNvcmZsb3cvZ28vY29yZS9mcmFtZXdvcmsvZnVuY3Rp",
            "b25fZ29fcHJvdG/4AQFiBnByb3RvMw=="));
      descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
          new pbr::FileDescriptor[] { global::Tensorflow.AttrValueReflection.Descriptor, global::Tensorflow.NodeDefReflection.Descriptor, global::Tensorflow.OpDefReflection.Descriptor, },
          new pbr::GeneratedClrTypeInfo(null, null, new pbr::GeneratedClrTypeInfo[] {
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.FunctionDefLibrary), global::Tensorflow.FunctionDefLibrary.Parser, new[]{ "Function", "Gradient" }, null, null, null, null),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.FunctionDef), global::Tensorflow.FunctionDef.Parser, new[]{ "Signature", "Attr", "ArgAttr", "NodeDef", "Ret", "ControlRet" }, null, null, null, new pbr::GeneratedClrTypeInfo[] { null, new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.FunctionDef.Types.ArgAttrs), global::Tensorflow.FunctionDef.Types.ArgAttrs.Parser, new[]{ "Attr" }, null, null, null, new pbr::GeneratedClrTypeInfo[] { null, }),
            null, null, null, }),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.FunctionDef), global::Tensorflow.FunctionDef.Parser, new[]{ "Signature", "Attr", "ArgAttr", "ResourceArgUniqueId", "NodeDef", "Ret", "ControlRet" }, null, null, null, new pbr::GeneratedClrTypeInfo[] { null, new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.FunctionDef.Types.ArgAttrs), global::Tensorflow.FunctionDef.Types.ArgAttrs.Parser, new[]{ "Attr" }, null, null, null, new pbr::GeneratedClrTypeInfo[] { null, }),
            null, null, null, null, }),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.GradientDef), global::Tensorflow.GradientDef.Parser, new[]{ "FunctionName", "GradientFunc" }, null, null, null, null)
          }));
    }
@@ -243,6 +247,7 @@ namespace Tensorflow {
      signature_ = other.signature_ != null ? other.signature_.Clone() : null;
      attr_ = other.attr_.Clone();
      argAttr_ = other.argAttr_.Clone();
      resourceArgUniqueId_ = other.resourceArgUniqueId_.Clone();
      nodeDef_ = other.nodeDef_.Clone();
      ret_ = other.ret_.Clone();
      controlRet_ = other.controlRet_.Clone();
@@ -292,6 +297,27 @@ namespace Tensorflow {
      get { return argAttr_; }
    }
    /// <summary>Field number for the "resource_arg_unique_id" field.</summary>
    public const int ResourceArgUniqueIdFieldNumber = 8;
    private static readonly pbc::MapField<uint, uint>.Codec _map_resourceArgUniqueId_codec
        = new pbc::MapField<uint, uint>.Codec(pb::FieldCodec.ForUInt32(8, 0), pb::FieldCodec.ForUInt32(16, 0), 66);
    private readonly pbc::MapField<uint, uint> resourceArgUniqueId_ = new pbc::MapField<uint, uint>();
    /// <summary>
    /// Unique IDs for each resource argument, used to track aliasing resources. If
    /// Argument A and Argument B alias each other, then
    /// resource_arg_unique_ids[A.index] == resource_arg_unique_ids[B.index].
    ///
    /// If this field is empty, none of the arguments could alias; otherwise, every
    /// resource argument should have an entry in this field.
    ///
    /// When instantiated, the unique IDs will be attached to the _Arg nodes'
    /// "_resource_arg_unique_id" attribute.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public pbc::MapField<uint, uint> ResourceArgUniqueId {
      get { return resourceArgUniqueId_; }
    }
    /// <summary>Field number for the "node_def" field.</summary>
    public const int NodeDefFieldNumber = 3;
    private static readonly pb::FieldCodec<global::Tensorflow.NodeDef> _repeated_nodeDef_codec
@@ -351,6 +377,7 @@ namespace Tensorflow {
      if (!object.Equals(Signature, other.Signature)) return false;
      if (!Attr.Equals(other.Attr)) return false;
      if (!ArgAttr.Equals(other.ArgAttr)) return false;
      if (!ResourceArgUniqueId.Equals(other.ResourceArgUniqueId)) return false;
      if(!nodeDef_.Equals(other.nodeDef_)) return false;
      if (!Ret.Equals(other.Ret)) return false;
      if (!ControlRet.Equals(other.ControlRet)) return false;
@@ -363,6 +390,7 @@ namespace Tensorflow {
      if (signature_ != null) hash ^= Signature.GetHashCode();
      hash ^= Attr.GetHashCode();
      hash ^= ArgAttr.GetHashCode();
      hash ^= ResourceArgUniqueId.GetHashCode();
      hash ^= nodeDef_.GetHashCode();
      hash ^= Ret.GetHashCode();
      hash ^= ControlRet.GetHashCode();
@@ -388,6 +416,7 @@ namespace Tensorflow {
      attr_.WriteTo(output, _map_attr_codec);
      controlRet_.WriteTo(output, _map_controlRet_codec);
      argAttr_.WriteTo(output, _map_argAttr_codec);
      resourceArgUniqueId_.WriteTo(output, _map_resourceArgUniqueId_codec);
      if (_unknownFields != null) {
        _unknownFields.WriteTo(output);
      }
@@ -401,6 +430,7 @@ namespace Tensorflow {
      }
      size += attr_.CalculateSize(_map_attr_codec);
      size += argAttr_.CalculateSize(_map_argAttr_codec);
      size += resourceArgUniqueId_.CalculateSize(_map_resourceArgUniqueId_codec);
      size += nodeDef_.CalculateSize(_repeated_nodeDef_codec);
      size += ret_.CalculateSize(_map_ret_codec);
      size += controlRet_.CalculateSize(_map_controlRet_codec);
@@ -423,6 +453,7 @@ namespace Tensorflow {
      }
      attr_.Add(other.attr_);
      argAttr_.Add(other.argAttr_);
      resourceArgUniqueId_.Add(other.resourceArgUniqueId_);
      nodeDef_.Add(other.nodeDef_);
      ret_.Add(other.ret_);
      controlRet_.Add(other.controlRet_);
@@ -464,6 +495,10 @@ namespace Tensorflow {
            argAttr_.AddEntriesFrom(input, _map_argAttr_codec);
            break;
          }
          case 66: {
            resourceArgUniqueId_.AddEntriesFrom(input, _map_resourceArgUniqueId_codec);
            break;
          }
        }
      }
    }
--- a/src/TensorFlowNET.Core/Protobuf/Gen.bat
+++ b/src/TensorFlowNET.Core/Protobuf/Gen.bat
@@ -1,6 +1,6 @@
@ECHO OFF
 set SRC_DIR=D:/SciSharp/tensorflow
 set SRC_DIR=D:/SciSharp/tensorflow-google
 set DST_DIR=D:/SciSharp/TensorFlow.NET/src/TensorFlowNET.Core/Protobuf
 protoc -I=%SRC_DIR% --csharp_out=%DST_DIR% tensorflow/core/framework/resource_handle.proto
@@ -39,5 +39,6 @@ protoc -I=%SRC_DIR% --csharp_out=%DST_DIR% tensorflow/core/protobuf/struct.proto
 protoc -I=%SRC_DIR% --csharp_out=%DST_DIR% tensorflow/core/protobuf/verifier_config.proto
 protoc -I=%SRC_DIR% --csharp_out=%DST_DIR% tensorflow/core/util/event.proto
 protoc -I=%SRC_DIR% --csharp_out=%DST_DIR% tensorflow/python/training/checkpoint_state.proto
 protoc -I=%SRC_DIR% --csharp_out=%DST_DIR% tensorflow/python/framework/cpp_shape_inference.proto
 PAUSE
--- a/src/TensorFlowNET.Core/Protobuf/Graph.cs
+++ b/src/TensorFlowNET.Core/Protobuf/Graph.cs
@@ -25,18 +25,18 @@ namespace Tensorflow {
      byte[] descriptorData = global::System.Convert.FromBase64String(
          string.Concat(
            "CiV0ZW5zb3JmbG93L2NvcmUvZnJhbWV3b3JrL2dyYXBoLnByb3RvEgp0ZW5z",
            "b3JmbG93Gih0ZW5zb3JmbG93L2NvcmUvZnJhbWV3b3JrL25vZGVfZGVmLnBy",
            "b3RvGih0ZW5zb3JmbG93L2NvcmUvZnJhbWV3b3JrL2Z1bmN0aW9uLnByb3Rv",
            "b3JmbG93Gih0ZW5zb3JmbG93L2NvcmUvZnJhbWV3b3JrL2Z1bmN0aW9uLnBy",
            "b3RvGih0ZW5zb3JmbG93L2NvcmUvZnJhbWV3b3JrL25vZGVfZGVmLnByb3Rv",
            "Gih0ZW5zb3JmbG93L2NvcmUvZnJhbWV3b3JrL3ZlcnNpb25zLnByb3RvIp0B",
            "CghHcmFwaERlZhIhCgRub2RlGAEgAygLMhMudGVuc29yZmxvdy5Ob2RlRGVm",
            "EigKCHZlcnNpb25zGAQgASgLMhYudGVuc29yZmxvdy5WZXJzaW9uRGVmEhMK",
            "B3ZlcnNpb24YAyABKAVCAhgBEi8KB2xpYnJhcnkYAiABKAsyHi50ZW5zb3Jm",
            "bG93LkZ1bmN0aW9uRGVmTGlicmFyeUJrChhvcmcudGVuc29yZmxvdy5mcmFt",
            "ZXdvcmtCC0dyYXBoUHJvdG9zUAFaPWdpdGh1Yi5jb20vdGVuc29yZmxvdy90",
            "ZW5zb3JmbG93L3RlbnNvcmZsb3cvZ28vY29yZS9mcmFtZXdvcmv4AQFiBnBy",
            "b3RvMw=="));
            "bG93LkZ1bmN0aW9uRGVmTGlicmFyeUJ6ChhvcmcudGVuc29yZmxvdy5mcmFt",
            "ZXdvcmtCC0dyYXBoUHJvdG9zUAFaTGdpdGh1Yi5jb20vdGVuc29yZmxvdy90",
            "ZW5zb3JmbG93L3RlbnNvcmZsb3cvZ28vY29yZS9mcmFtZXdvcmsvZ3JhcGhf",
            "Z29fcHJvdG/4AQFiBnByb3RvMw=="));
      descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
          new pbr::FileDescriptor[] { global::Tensorflow.NodeDefReflection.Descriptor, global::Tensorflow.FunctionReflection.Descriptor, global::Tensorflow.VersionsReflection.Descriptor, },
          new pbr::FileDescriptor[] { global::Tensorflow.FunctionReflection.Descriptor, global::Tensorflow.NodeDefReflection.Descriptor, global::Tensorflow.VersionsReflection.Descriptor, },
          new pbr::GeneratedClrTypeInfo(null, null, new pbr::GeneratedClrTypeInfo[] {
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.GraphDef), global::Tensorflow.GraphDef.Parser, new[]{ "Node", "Versions", "Version", "Library" }, null, null, null, null)
          }));
--- a/src/TensorFlowNET.Core/Protobuf/GraphTransferInfo.cs
+++ b/src/TensorFlowNET.Core/Protobuf/GraphTransferInfo.cs
@@ -54,10 +54,10 @@ namespace Tensorflow {
            "ZW5zb3JmbG93LkdyYXBoVHJhbnNmZXJHcmFwaE91dHB1dE5vZGVJbmZvEj4K",
            "C2Rlc3RpbmF0aW9uGAcgASgOMikudGVuc29yZmxvdy5HcmFwaFRyYW5zZmVy",
            "SW5mby5EZXN0aW5hdGlvbiIjCgtEZXN0aW5hdGlvbhIHCgNOT1AQABILCgdI",
            "RVhBR09OEAFCdgoYb3JnLnRlbnNvcmZsb3cuZnJhbWV3b3JrQhZHcmFwaFRy",
            "YW5zZmVySW5mb1Byb3RvUAFaPWdpdGh1Yi5jb20vdGVuc29yZmxvdy90ZW5z",
            "b3JmbG93L3RlbnNvcmZsb3cvZ28vY29yZS9mcmFtZXdvcmv4AQFiBnByb3Rv",
            "Mw=="));
            "RVhBR09OEAFCkwEKGG9yZy50ZW5zb3JmbG93LmZyYW1ld29ya0IWR3JhcGhU",
            "cmFuc2ZlckluZm9Qcm90b1ABWlpnaXRodWIuY29tL3RlbnNvcmZsb3cvdGVu",
            "c29yZmxvdy90ZW5zb3JmbG93L2dvL2NvcmUvZnJhbWV3b3JrL2dyYXBoX3Ry",
            "YW5zZmVyX2luZm9fZ29fcHJvdG/4AQFiBnByb3RvMw=="));
      descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
          new pbr::FileDescriptor[] { global::Tensorflow.TypesReflection.Descriptor, },
          new pbr::GeneratedClrTypeInfo(null, null, new pbr::GeneratedClrTypeInfo[] {
--- a/src/TensorFlowNET.Core/Protobuf/KernelDef.cs
+++ b/src/TensorFlowNET.Core/Protobuf/KernelDef.cs
@@ -32,10 +32,10 @@ namespace Tensorflow {
            "BCADKAkSDQoFbGFiZWwYBSABKAkSEAoIcHJpb3JpdHkYBiABKAUaTQoOQXR0",
            "ckNvbnN0cmFpbnQSDAoEbmFtZRgBIAEoCRItCg5hbGxvd2VkX3ZhbHVlcxgC",
            "IAEoCzIVLnRlbnNvcmZsb3cuQXR0clZhbHVlIjMKCktlcm5lbExpc3QSJQoG",
            "a2VybmVsGAEgAygLMhUudGVuc29yZmxvdy5LZXJuZWxEZWZCbwoYb3JnLnRl",
            "bnNvcmZsb3cuZnJhbWV3b3JrQg9LZXJuZWxEZWZQcm90b3NQAVo9Z2l0aHVi",
            "LmNvbS90ZW5zb3JmbG93L3RlbnNvcmZsb3cvdGVuc29yZmxvdy9nby9jb3Jl",
            "L2ZyYW1ld29ya/gBAWIGcHJvdG8z"));
            "a2VybmVsGAEgAygLMhUudGVuc29yZmxvdy5LZXJuZWxEZWZCgwEKGG9yZy50",
            "ZW5zb3JmbG93LmZyYW1ld29ya0IPS2VybmVsRGVmUHJvdG9zUAFaUWdpdGh1",
            "Yi5jb20vdGVuc29yZmxvdy90ZW5zb3JmbG93L3RlbnNvcmZsb3cvZ28vY29y",
            "ZS9mcmFtZXdvcmsva2VybmVsX2RlZl9nb19wcm90b/gBAWIGcHJvdG8z"));
      descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
          new pbr::FileDescriptor[] { global::Tensorflow.AttrValueReflection.Descriptor, },
          new pbr::GeneratedClrTypeInfo(null, null, new pbr::GeneratedClrTypeInfo[] {
--- a/src/TensorFlowNET.Core/Protobuf/LogMemory.cs
+++ b/src/TensorFlowNET.Core/Protobuf/LogMemory.cs
@@ -40,10 +40,10 @@ namespace Tensorflow {
            "aWQYBSABKAMSFgoOYWxsb2NhdG9yX25hbWUYBiABKAkifwoYTWVtb3J5TG9n",
            "UmF3RGVhbGxvY2F0aW9uEg8KB3N0ZXBfaWQYASABKAMSEQoJb3BlcmF0aW9u",
            "GAIgASgJEhUKDWFsbG9jYXRpb25faWQYAyABKAMSFgoOYWxsb2NhdG9yX25h",
            "bWUYBCABKAkSEAoIZGVmZXJyZWQYBSABKAhCbwoYb3JnLnRlbnNvcmZsb3cu",
            "ZnJhbWV3b3JrQg9Mb2dNZW1vcnlQcm90b3NQAVo9Z2l0aHViLmNvbS90ZW5z",
            "b3JmbG93L3RlbnNvcmZsb3cvdGVuc29yZmxvdy9nby9jb3JlL2ZyYW1ld29y",
            "a/gBAWIGcHJvdG8z"));
            "bWUYBCABKAkSEAoIZGVmZXJyZWQYBSABKAhCgwEKGG9yZy50ZW5zb3JmbG93",
            "LmZyYW1ld29ya0IPTG9nTWVtb3J5UHJvdG9zUAFaUWdpdGh1Yi5jb20vdGVu",
            "c29yZmxvdy90ZW5zb3JmbG93L3RlbnNvcmZsb3cvZ28vY29yZS9mcmFtZXdv",
            "cmsvbG9nX21lbW9yeV9nb19wcm90b/gBAWIGcHJvdG8z"));
      descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
          new pbr::FileDescriptor[] { global::Tensorflow.TensorDescriptionReflection.Descriptor, },
          new pbr::GeneratedClrTypeInfo(null, null, new pbr::GeneratedClrTypeInfo[] {
--- a/src/TensorFlowNET.Core/Protobuf/MetaGraph.cs
+++ b/src/TensorFlowNET.Core/Protobuf/MetaGraph.cs
@@ -32,7 +32,7 @@ namespace Tensorflow {
            "ZnJhbWV3b3JrL3R5cGVzLnByb3RvGjF0ZW5zb3JmbG93L2NvcmUvcHJvdG9i",
            "dWYvc2F2ZWRfb2JqZWN0X2dyYXBoLnByb3RvGiR0ZW5zb3JmbG93L2NvcmUv",
            "cHJvdG9idWYvc2F2ZXIucHJvdG8aJXRlbnNvcmZsb3cvY29yZS9wcm90b2J1",
            "Zi9zdHJ1Y3QucHJvdG8imwYKDE1ldGFHcmFwaERlZhI7Cg1tZXRhX2luZm9f",
            "Zi9zdHJ1Y3QucHJvdG8iqAcKDE1ldGFHcmFwaERlZhI7Cg1tZXRhX2luZm9f",
            "ZGVmGAEgASgLMiQudGVuc29yZmxvdy5NZXRhR3JhcGhEZWYuTWV0YUluZm9E",
            "ZWYSJwoJZ3JhcGhfZGVmGAIgASgLMhQudGVuc29yZmxvdy5HcmFwaERlZhIn",
            "CglzYXZlcl9kZWYYAyABKAsyFC50ZW5zb3JmbG93LlNhdmVyRGVmEkMKDmNv",
@@ -41,52 +41,55 @@ namespace Tensorflow {
            "ZW5zb3JmbG93Lk1ldGFHcmFwaERlZi5TaWduYXR1cmVEZWZFbnRyeRIwCg5h",
            "c3NldF9maWxlX2RlZhgGIAMoCzIYLnRlbnNvcmZsb3cuQXNzZXRGaWxlRGVm",
            "EjYKEG9iamVjdF9ncmFwaF9kZWYYByABKAsyHC50ZW5zb3JmbG93LlNhdmVk",
            "T2JqZWN0R3JhcGga6QEKC01ldGFJbmZvRGVmEhoKEm1ldGFfZ3JhcGhfdmVy",
            "T2JqZWN0R3JhcGga9gIKC01ldGFJbmZvRGVmEhoKEm1ldGFfZ3JhcGhfdmVy",
            "c2lvbhgBIAEoCRIsChBzdHJpcHBlZF9vcF9saXN0GAIgASgLMhIudGVuc29y",
            "Zmxvdy5PcExpc3QSJgoIYW55X2luZm8YAyABKAsyFC5nb29nbGUucHJvdG9i",
            "dWYuQW55EgwKBHRhZ3MYBCADKAkSGgoSdGVuc29yZmxvd192ZXJzaW9uGAUg",
            "ASgJEh4KFnRlbnNvcmZsb3dfZ2l0X3ZlcnNpb24YBiABKAkSHgoWc3RyaXBw",
            "ZWRfZGVmYXVsdF9hdHRycxgHIAEoCBpPChJDb2xsZWN0aW9uRGVmRW50cnkS",
            "CwoDa2V5GAEgASgJEigKBXZhbHVlGAIgASgLMhkudGVuc29yZmxvdy5Db2xs",
            "ZWN0aW9uRGVmOgI4ARpNChFTaWduYXR1cmVEZWZFbnRyeRILCgNrZXkYASAB",
            "KAkSJwoFdmFsdWUYAiABKAsyGC50ZW5zb3JmbG93LlNpZ25hdHVyZURlZjoC",
            "OAEi3wMKDUNvbGxlY3Rpb25EZWYSNwoJbm9kZV9saXN0GAEgASgLMiIudGVu",
            "c29yZmxvdy5Db2xsZWN0aW9uRGVmLk5vZGVMaXN0SAASOQoKYnl0ZXNfbGlz",
            "dBgCIAEoCzIjLnRlbnNvcmZsb3cuQ29sbGVjdGlvbkRlZi5CeXRlc0xpc3RI",
            "ABI5CgppbnQ2NF9saXN0GAMgASgLMiMudGVuc29yZmxvdy5Db2xsZWN0aW9u",
            "RGVmLkludDY0TGlzdEgAEjkKCmZsb2F0X2xpc3QYBCABKAsyIy50ZW5zb3Jm",
            "bG93LkNvbGxlY3Rpb25EZWYuRmxvYXRMaXN0SAASNQoIYW55X2xpc3QYBSAB",
            "KAsyIS50ZW5zb3JmbG93LkNvbGxlY3Rpb25EZWYuQW55TGlzdEgAGhkKCE5v",
            "ZGVMaXN0Eg0KBXZhbHVlGAEgAygJGhoKCUJ5dGVzTGlzdBINCgV2YWx1ZRgB",
            "IAMoDBoeCglJbnQ2NExpc3QSEQoFdmFsdWUYASADKANCAhABGh4KCUZsb2F0",
            "TGlzdBIRCgV2YWx1ZRgBIAMoAkICEAEaLgoHQW55TGlzdBIjCgV2YWx1ZRgB",
            "IAMoCzIULmdvb2dsZS5wcm90b2J1Zi5BbnlCBgoEa2luZCLRAwoKVGVuc29y",
            "SW5mbxIOCgRuYW1lGAEgASgJSAASNgoKY29vX3NwYXJzZRgEIAEoCzIgLnRl",
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            "dGVuc29yGAUgASgLMiYudGVuc29yZmxvdy5UZW5zb3JJbmZvLkNvbXBvc2l0",
            "ZVRlbnNvckgAEiMKBWR0eXBlGAIgASgOMhQudGVuc29yZmxvdy5EYXRhVHlw",
            "ZRIyCgx0ZW5zb3Jfc2hhcGUYAyABKAsyHC50ZW5zb3JmbG93LlRlbnNvclNo",
            "YXBlUHJvdG8aZQoJQ29vU3BhcnNlEhoKEnZhbHVlc190ZW5zb3JfbmFtZRgB",
            "IAEoCRIbChNpbmRpY2VzX3RlbnNvcl9uYW1lGAIgASgJEh8KF2RlbnNlX3No",
            "YXBlX3RlbnNvcl9uYW1lGAMgASgJGmsKD0NvbXBvc2l0ZVRlbnNvchIsCgl0",
            "eXBlX3NwZWMYASABKAsyGS50ZW5zb3JmbG93LlR5cGVTcGVjUHJvdG8SKgoK",
            "Y29tcG9uZW50cxgCIAMoCzIWLnRlbnNvcmZsb3cuVGVuc29ySW5mb0IKCghl",
            "bmNvZGluZyKgAgoMU2lnbmF0dXJlRGVmEjQKBmlucHV0cxgBIAMoCzIkLnRl",
            "bnNvcmZsb3cuU2lnbmF0dXJlRGVmLklucHV0c0VudHJ5EjYKB291dHB1dHMY",
            "AiADKAsyJS50ZW5zb3JmbG93LlNpZ25hdHVyZURlZi5PdXRwdXRzRW50cnkS",
            "EwoLbWV0aG9kX25hbWUYAyABKAkaRQoLSW5wdXRzRW50cnkSCwoDa2V5GAEg",
            "ASgJEiUKBXZhbHVlGAIgASgLMhYudGVuc29yZmxvdy5UZW5zb3JJbmZvOgI4",
            "ARpGCgxPdXRwdXRzRW50cnkSCwoDa2V5GAEgASgJEiUKBXZhbHVlGAIgASgL",
            "MhYudGVuc29yZmxvdy5UZW5zb3JJbmZvOgI4ASJNCgxBc3NldEZpbGVEZWYS",
            "KwoLdGVuc29yX2luZm8YASABKAsyFi50ZW5zb3JmbG93LlRlbnNvckluZm8S",
            "EAoIZmlsZW5hbWUYAiABKAlCbgoYb3JnLnRlbnNvcmZsb3cuZnJhbWV3b3Jr",
            "Qg9NZXRhR3JhcGhQcm90b3NQAVo8Z2l0aHViLmNvbS90ZW5zb3JmbG93L3Rl",
            "bnNvcmZsb3cvdGVuc29yZmxvdy9nby9jb3JlL3Byb3RvYnVm+AEBYgZwcm90",
            "bzM="));
            "ZWRfZGVmYXVsdF9hdHRycxgHIAEoCBJTChBmdW5jdGlvbl9hbGlhc2VzGAgg",
            "AygLMjkudGVuc29yZmxvdy5NZXRhR3JhcGhEZWYuTWV0YUluZm9EZWYuRnVu",
            "Y3Rpb25BbGlhc2VzRW50cnkaNgoURnVuY3Rpb25BbGlhc2VzRW50cnkSCwoD",
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            "ZURlZjoCOAEi3wMKDUNvbGxlY3Rpb25EZWYSNwoJbm9kZV9saXN0GAEgASgL",
            "MiIudGVuc29yZmxvdy5Db2xsZWN0aW9uRGVmLk5vZGVMaXN0SAASOQoKYnl0",
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            "c0xpc3RIABI5CgppbnQ2NF9saXN0GAMgASgLMiMudGVuc29yZmxvdy5Db2xs",
            "ZWN0aW9uRGVmLkludDY0TGlzdEgAEjkKCmZsb2F0X2xpc3QYBCABKAsyIy50",
            "ZW5zb3JmbG93LkNvbGxlY3Rpb25EZWYuRmxvYXRMaXN0SAASNQoIYW55X2xp",
            "c3QYBSABKAsyIS50ZW5zb3JmbG93LkNvbGxlY3Rpb25EZWYuQW55TGlzdEgA",
            "GhkKCE5vZGVMaXN0Eg0KBXZhbHVlGAEgAygJGhoKCUJ5dGVzTGlzdBINCgV2",
            "YWx1ZRgBIAMoDBoeCglJbnQ2NExpc3QSEQoFdmFsdWUYASADKANCAhABGh4K",
            "CUZsb2F0TGlzdBIRCgV2YWx1ZRgBIAMoAkICEAEaLgoHQW55TGlzdBIjCgV2",
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            "bXBvc2l0ZVRlbnNvckgAEiMKBWR0eXBlGAIgASgOMhQudGVuc29yZmxvdy5E",
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            "dG8SKgoKY29tcG9uZW50cxgCIAMoCzIWLnRlbnNvcmZsb3cuVGVuc29ySW5m",
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            "CzIkLnRlbnNvcmZsb3cuU2lnbmF0dXJlRGVmLklucHV0c0VudHJ5EjYKB291",
            "dHB1dHMYAiADKAsyJS50ZW5zb3JmbG93LlNpZ25hdHVyZURlZi5PdXRwdXRz",
            "RW50cnkSEwoLbWV0aG9kX25hbWUYAyABKAkaRQoLSW5wdXRzRW50cnkSCwoD",
            "a2V5GAEgASgJEiUKBXZhbHVlGAIgASgLMhYudGVuc29yZmxvdy5UZW5zb3JJ",
            "bmZvOgI4ARpGCgxPdXRwdXRzRW50cnkSCwoDa2V5GAEgASgJEiUKBXZhbHVl",
            "GAIgASgLMhYudGVuc29yZmxvdy5UZW5zb3JJbmZvOgI4ASJNCgxBc3NldEZp",
            "bGVEZWYSKwoLdGVuc29yX2luZm8YASABKAsyFi50ZW5zb3JmbG93LlRlbnNv",
            "ckluZm8SEAoIZmlsZW5hbWUYAiABKAlCegoYb3JnLnRlbnNvcmZsb3cuZnJh",
            "bWV3b3JrQg9NZXRhR3JhcGhQcm90b3NQAVpIZ2l0aHViLmNvbS90ZW5zb3Jm",
            "bG93L3RlbnNvcmZsb3cvdGVuc29yZmxvdy9nby9jb3JlL2NvcmVfcHJvdG9z",
            "X2dvX3Byb3Rv+AEBYgZwcm90bzM="));
      descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
          new pbr::FileDescriptor[] { global::Google.Protobuf.WellKnownTypes.AnyReflection.Descriptor, global::Tensorflow.GraphReflection.Descriptor, global::Tensorflow.OpDefReflection.Descriptor, global::Tensorflow.TensorShapeReflection.Descriptor, global::Tensorflow.TypesReflection.Descriptor, global::Tensorflow.SavedObjectGraphReflection.Descriptor, global::Tensorflow.SaverReflection.Descriptor, global::Tensorflow.StructReflection.Descriptor, },
          new pbr::GeneratedClrTypeInfo(null, null, new pbr::GeneratedClrTypeInfo[] {
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.MetaGraphDef), global::Tensorflow.MetaGraphDef.Parser, new[]{ "MetaInfoDef", "GraphDef", "SaverDef", "CollectionDef", "SignatureDef", "AssetFileDef", "ObjectGraphDef" }, null, null, null, new pbr::GeneratedClrTypeInfo[] { new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.MetaGraphDef.Types.MetaInfoDef), global::Tensorflow.MetaGraphDef.Types.MetaInfoDef.Parser, new[]{ "MetaGraphVersion", "StrippedOpList", "AnyInfo", "Tags", "TensorflowVersion", "TensorflowGitVersion", "StrippedDefaultAttrs" }, null, null, null, null),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.MetaGraphDef), global::Tensorflow.MetaGraphDef.Parser, new[]{ "MetaInfoDef", "GraphDef", "SaverDef", "CollectionDef", "SignatureDef", "AssetFileDef", "ObjectGraphDef" }, null, null, null, new pbr::GeneratedClrTypeInfo[] { new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.MetaGraphDef.Types.MetaInfoDef), global::Tensorflow.MetaGraphDef.Types.MetaInfoDef.Parser, new[]{ "MetaGraphVersion", "StrippedOpList", "AnyInfo", "Tags", "TensorflowVersion", "TensorflowGitVersion", "StrippedDefaultAttrs", "FunctionAliases" }, null, null, null, new pbr::GeneratedClrTypeInfo[] { null, }),
            null, null, }),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.CollectionDef), global::Tensorflow.CollectionDef.Parser, new[]{ "NodeList", "BytesList", "Int64List", "FloatList", "AnyList" }, new[]{ "Kind" }, null, null, new pbr::GeneratedClrTypeInfo[] { new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.CollectionDef.Types.NodeList), global::Tensorflow.CollectionDef.Types.NodeList.Parser, new[]{ "Value" }, null, null, null, null),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.CollectionDef.Types.BytesList), global::Tensorflow.CollectionDef.Types.BytesList.Parser, new[]{ "Value" }, null, null, null, null),
@@ -474,6 +477,7 @@ namespace Tensorflow {
          tensorflowVersion_ = other.tensorflowVersion_;
          tensorflowGitVersion_ = other.tensorflowGitVersion_;
          strippedDefaultAttrs_ = other.strippedDefaultAttrs_;
          functionAliases_ = other.functionAliases_.Clone();
          _unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
        }
@@ -592,6 +596,19 @@ namespace Tensorflow {
          }
        }
        /// <summary>Field number for the "function_aliases" field.</summary>
        public const int FunctionAliasesFieldNumber = 8;
        private static readonly pbc::MapField<string, string>.Codec _map_functionAliases_codec
            = new pbc::MapField<string, string>.Codec(pb::FieldCodec.ForString(10, ""), pb::FieldCodec.ForString(18, ""), 66);
        private readonly pbc::MapField<string, string> functionAliases_ = new pbc::MapField<string, string>();
        /// <summary>
        /// FunctionDef name to aliases mapping.
        /// </summary>
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public pbc::MapField<string, string> FunctionAliases {
          get { return functionAliases_; }
        }
        [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
        public override bool Equals(object other) {
          return Equals(other as MetaInfoDef);
@@ -612,6 +629,7 @@ namespace Tensorflow {
          if (TensorflowVersion != other.TensorflowVersion) return false;
          if (TensorflowGitVersion != other.TensorflowGitVersion) return false;
          if (StrippedDefaultAttrs != other.StrippedDefaultAttrs) return false;
          if (!FunctionAliases.Equals(other.FunctionAliases)) return false;
          return Equals(_unknownFields, other._unknownFields);
        }
@@ -625,6 +643,7 @@ namespace Tensorflow {
          if (TensorflowVersion.Length != 0) hash ^= TensorflowVersion.GetHashCode();
          if (TensorflowGitVersion.Length != 0) hash ^= TensorflowGitVersion.GetHashCode();
          if (StrippedDefaultAttrs != false) hash ^= StrippedDefaultAttrs.GetHashCode();
          hash ^= FunctionAliases.GetHashCode();
          if (_unknownFields != null) {
            hash ^= _unknownFields.GetHashCode();
          }
@@ -663,6 +682,7 @@ namespace Tensorflow {
            output.WriteRawTag(56);
            output.WriteBool(StrippedDefaultAttrs);
          }
          functionAliases_.WriteTo(output, _map_functionAliases_codec);
          if (_unknownFields != null) {
            _unknownFields.WriteTo(output);
          }
@@ -690,6 +710,7 @@ namespace Tensorflow {
          if (StrippedDefaultAttrs != false) {
            size += 1 + 1;
          }
          size += functionAliases_.CalculateSize(_map_functionAliases_codec);
          if (_unknownFields != null) {
            size += _unknownFields.CalculateSize();
          }
@@ -726,6 +747,7 @@ namespace Tensorflow {
          if (other.StrippedDefaultAttrs != false) {
            StrippedDefaultAttrs = other.StrippedDefaultAttrs;
          }
          functionAliases_.Add(other.functionAliases_);
          _unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
        }
@@ -771,6 +793,10 @@ namespace Tensorflow {
                StrippedDefaultAttrs = input.ReadBool();
                break;
              }
              case 66: {
                functionAliases_.AddEntriesFrom(input, _map_functionAliases_codec);
                break;
              }
            }
          }
        }
--- a/src/TensorFlowNET.Core/Protobuf/NodeDef.cs
+++ b/src/TensorFlowNET.Core/Protobuf/NodeDef.cs
@@ -33,10 +33,10 @@ namespace Tensorflow {
            "ZXJpbWVudGFsRGVidWdJbmZvGkIKCUF0dHJFbnRyeRILCgNrZXkYASABKAkS",
            "JAoFdmFsdWUYAiABKAsyFS50ZW5zb3JmbG93LkF0dHJWYWx1ZToCOAEaUQoV",
            "RXhwZXJpbWVudGFsRGVidWdJbmZvEhsKE29yaWdpbmFsX25vZGVfbmFtZXMY",
            "ASADKAkSGwoTb3JpZ2luYWxfZnVuY19uYW1lcxgCIAMoCUJpChhvcmcudGVu",
            "c29yZmxvdy5mcmFtZXdvcmtCCU5vZGVQcm90b1ABWj1naXRodWIuY29tL3Rl",
            "ASADKAkSGwoTb3JpZ2luYWxfZnVuY19uYW1lcxgCIAMoCUJ7ChhvcmcudGVu",
            "c29yZmxvdy5mcmFtZXdvcmtCCU5vZGVQcm90b1ABWk9naXRodWIuY29tL3Rl",
            "bnNvcmZsb3cvdGVuc29yZmxvdy90ZW5zb3JmbG93L2dvL2NvcmUvZnJhbWV3",
            "b3Jr+AEBYgZwcm90bzM="));
            "b3JrL25vZGVfZGVmX2dvX3Byb3Rv+AEBYgZwcm90bzM="));
      descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
          new pbr::FileDescriptor[] { global::Tensorflow.AttrValueReflection.Descriptor, },
          new pbr::GeneratedClrTypeInfo(null, null, new pbr::GeneratedClrTypeInfo[] {
--- a/src/TensorFlowNET.Core/Protobuf/OpDef.cs
+++ b/src/TensorFlowNET.Core/Protobuf/OpDef.cs
@@ -45,9 +45,10 @@ namespace Tensorflow {
            "AxItCg5hbGxvd2VkX3ZhbHVlcxgHIAEoCzIVLnRlbnNvcmZsb3cuQXR0clZh",
            "bHVlIjUKDU9wRGVwcmVjYXRpb24SDwoHdmVyc2lvbhgBIAEoBRITCgtleHBs",
            "YW5hdGlvbhgCIAEoCSInCgZPcExpc3QSHQoCb3AYASADKAsyES50ZW5zb3Jm",
            "bG93Lk9wRGVmQmsKGG9yZy50ZW5zb3JmbG93LmZyYW1ld29ya0ILT3BEZWZQ",
            "cm90b3NQAVo9Z2l0aHViLmNvbS90ZW5zb3JmbG93L3RlbnNvcmZsb3cvdGVu",
            "c29yZmxvdy9nby9jb3JlL2ZyYW1ld29ya/gBAWIGcHJvdG8z"));
            "bG93Lk9wRGVmQnsKGG9yZy50ZW5zb3JmbG93LmZyYW1ld29ya0ILT3BEZWZQ",
            "cm90b3NQAVpNZ2l0aHViLmNvbS90ZW5zb3JmbG93L3RlbnNvcmZsb3cvdGVu",
            "c29yZmxvdy9nby9jb3JlL2ZyYW1ld29yay9vcF9kZWZfZ29fcHJvdG/4AQFi",
            "BnByb3RvMw=="));
      descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
          new pbr::FileDescriptor[] { global::Tensorflow.AttrValueReflection.Descriptor, global::Tensorflow.TypesReflection.Descriptor, },
          new pbr::GeneratedClrTypeInfo(null, null, new pbr::GeneratedClrTypeInfo[] {
--- a/src/TensorFlowNET.Core/Protobuf/ResourceHandle.cs
+++ b/src/TensorFlowNET.Core/Protobuf/ResourceHandle.cs
@@ -27,16 +27,17 @@ namespace Tensorflow {
            "Ci90ZW5zb3JmbG93L2NvcmUvZnJhbWV3b3JrL3Jlc291cmNlX2hhbmRsZS5w",
            "cm90bxIKdGVuc29yZmxvdxosdGVuc29yZmxvdy9jb3JlL2ZyYW1ld29yay90",
            "ZW5zb3Jfc2hhcGUucHJvdG8aJXRlbnNvcmZsb3cvY29yZS9mcmFtZXdvcmsv",
            "dHlwZXMucHJvdG8inwIKE1Jlc291cmNlSGFuZGxlUHJvdG8SDgoGZGV2aWNl",
            "dHlwZXMucHJvdG8ipQIKE1Jlc291cmNlSGFuZGxlUHJvdG8SDgoGZGV2aWNl",
            "GAEgASgJEhEKCWNvbnRhaW5lchgCIAEoCRIMCgRuYW1lGAMgASgJEhEKCWhh",
            "c2hfY29kZRgEIAEoBBIXCg9tYXliZV90eXBlX25hbWUYBSABKAkSSAoRZHR5",
            "cGVzX2FuZF9zaGFwZXMYBiADKAsyLS50ZW5zb3JmbG93LlJlc291cmNlSGFu",
            "ZGxlUHJvdG8uRHR5cGVBbmRTaGFwZRphCg1EdHlwZUFuZFNoYXBlEiMKBWR0",
            "eXBlGAEgASgOMhQudGVuc29yZmxvdy5EYXRhVHlwZRIrCgVzaGFwZRgCIAEo",
            "CzIcLnRlbnNvcmZsb3cuVGVuc29yU2hhcGVQcm90b0JuChhvcmcudGVuc29y",
            "Zmxvdy5mcmFtZXdvcmtCDlJlc291cmNlSGFuZGxlUAFaPWdpdGh1Yi5jb20v",
            "dGVuc29yZmxvdy90ZW5zb3JmbG93L3RlbnNvcmZsb3cvZ28vY29yZS9mcmFt",
            "ZXdvcmv4AQFiBnByb3RvMw=="));
            "CzIcLnRlbnNvcmZsb3cuVGVuc29yU2hhcGVQcm90b0oECAcQCEKHAQoYb3Jn",
            "LnRlbnNvcmZsb3cuZnJhbWV3b3JrQg5SZXNvdXJjZUhhbmRsZVABWlZnaXRo",
            "dWIuY29tL3RlbnNvcmZsb3cvdGVuc29yZmxvdy90ZW5zb3JmbG93L2dvL2Nv",
            "cmUvZnJhbWV3b3JrL3Jlc291cmNlX2hhbmRsZV9nb19wcm90b/gBAWIGcHJv",
            "dG8z"));
      descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
          new pbr::FileDescriptor[] { global::Tensorflow.TensorShapeReflection.Descriptor, global::Tensorflow.TypesReflection.Descriptor, },
          new pbr::GeneratedClrTypeInfo(null, null, new pbr::GeneratedClrTypeInfo[] {
--- a/src/TensorFlowNET.Core/Protobuf/RewriterConfig.cs
+++ b/src/TensorFlowNET.Core/Protobuf/RewriterConfig.cs
@@ -29,62 +29,65 @@ namespace Tensorflow {
            "dHJfdmFsdWUucHJvdG8aLnRlbnNvcmZsb3cvY29yZS9wcm90b2J1Zi92ZXJp",
            "Zmllcl9jb25maWcucHJvdG8iOwoTQXV0b1BhcmFsbGVsT3B0aW9ucxIOCgZl",
            "bmFibGUYASABKAgSFAoMbnVtX3JlcGxpY2FzGAIgASgFIisKFlNjb3BlZEFs",
            "bG9jYXRvck9wdGlvbnMSEQoJZW5hYmxlX29wGAEgAygJIogQCg5SZXdyaXRl",
            "bG9jYXRvck9wdGlvbnMSEQoJZW5hYmxlX29wGAEgAygJIpURCg5SZXdyaXRl",
            "ckNvbmZpZxI7ChBsYXlvdXRfb3B0aW1pemVyGAEgASgOMiEudGVuc29yZmxv",
            "dy5SZXdyaXRlckNvbmZpZy5Ub2dnbGUSOwoQY29uc3RhbnRfZm9sZGluZxgD",
            "IAEoDjIhLnRlbnNvcmZsb3cuUmV3cml0ZXJDb25maWcuVG9nZ2xlEj0KEnNo",
            "YXBlX29wdGltaXphdGlvbhgNIAEoDjIhLnRlbnNvcmZsb3cuUmV3cml0ZXJD",
            "b25maWcuVG9nZ2xlEjQKCXJlbWFwcGluZxgOIAEoDjIhLnRlbnNvcmZsb3cu",
            "UmV3cml0ZXJDb25maWcuVG9nZ2xlEkIKF2FyaXRobWV0aWNfb3B0aW1pemF0",
            "aW9uGAcgASgOMiEudGVuc29yZmxvdy5SZXdyaXRlckNvbmZpZy5Ub2dnbGUS",
            "QgoXZGVwZW5kZW5jeV9vcHRpbWl6YXRpb24YCCABKA4yIS50ZW5zb3JmbG93",
            "LlJld3JpdGVyQ29uZmlnLlRvZ2dsZRI8ChFsb29wX29wdGltaXphdGlvbhgJ",
            "IAEoDjIhLnRlbnNvcmZsb3cuUmV3cml0ZXJDb25maWcuVG9nZ2xlEkAKFWZ1",
            "bmN0aW9uX29wdGltaXphdGlvbhgKIAEoDjIhLnRlbnNvcmZsb3cuUmV3cml0",
            "ZXJDb25maWcuVG9nZ2xlEjkKDmRlYnVnX3N0cmlwcGVyGAsgASgOMiEudGVu",
            "c29yZmxvdy5SZXdyaXRlckNvbmZpZy5Ub2dnbGUSHQoVZGlzYWJsZV9tb2Rl",
            "bF9wcnVuaW5nGAIgASgIEkgKHXNjb3BlZF9hbGxvY2F0b3Jfb3B0aW1pemF0",
            "aW9uGA8gASgOMiEudGVuc29yZmxvdy5SZXdyaXRlckNvbmZpZy5Ub2dnbGUS",
            "QwoYcGluX3RvX2hvc3Rfb3B0aW1pemF0aW9uGBIgASgOMiEudGVuc29yZmxv",
            "dy5SZXdyaXRlckNvbmZpZy5Ub2dnbGUSQgoXaW1wbGVtZW50YXRpb25fc2Vs",
            "ZWN0b3IYFiABKA4yIS50ZW5zb3JmbG93LlJld3JpdGVyQ29uZmlnLlRvZ2ds",
            "ZRI/ChRhdXRvX21peGVkX3ByZWNpc2lvbhgXIAEoDjIhLnRlbnNvcmZsb3cu",
            "UmV3cml0ZXJDb25maWcuVG9nZ2xlEh4KFmRpc2FibGVfbWV0YV9vcHRpbWl6",
            "ZXIYEyABKAgSTwoZbWV0YV9vcHRpbWl6ZXJfaXRlcmF0aW9ucxgMIAEoDjIs",
            "LnRlbnNvcmZsb3cuUmV3cml0ZXJDb25maWcuTnVtSXRlcmF0aW9uc1R5cGUS",
            "FwoPbWluX2dyYXBoX25vZGVzGBEgASgFEkIKE21lbW9yeV9vcHRpbWl6YXRp",
            "b24YBCABKA4yJS50ZW5zb3JmbG93LlJld3JpdGVyQ29uZmlnLk1lbU9wdFR5",
            "cGUSLwonbWVtb3J5X29wdGltaXplcl90YXJnZXRfbm9kZV9uYW1lX3Njb3Bl",
            "GAYgASgJEiEKGW1ldGFfb3B0aW1pemVyX3RpbWVvdXRfbXMYFCABKAMSNgoN",
            "YXV0b19wYXJhbGxlbBgFIAEoCzIfLnRlbnNvcmZsb3cuQXV0b1BhcmFsbGVs",
            "T3B0aW9ucxIgChhmYWlsX29uX29wdGltaXplcl9lcnJvcnMYFSABKAgSQQoV",
            "c2NvcGVkX2FsbG9jYXRvcl9vcHRzGBAgASgLMiIudGVuc29yZmxvdy5TY29w",
            "ZWRBbGxvY2F0b3JPcHRpb25zEhIKCm9wdGltaXplcnMYZCADKAkSSwoRY3Vz",
            "dG9tX29wdGltaXplcnMYyAEgAygLMi8udGVuc29yZmxvdy5SZXdyaXRlckNv",
            "bmZpZy5DdXN0b21HcmFwaE9wdGltaXplchJECh9pbnRlcl9vcHRpbWl6ZXJf",
            "dmVyaWZpZXJfY29uZmlnGKwCIAEoCzIaLnRlbnNvcmZsb3cuVmVyaWZpZXJD",
            "b25maWcSRgohcG9zdF9vcHRpbWl6YXRpb25fdmVyaWZpZXJfY29uZmlnGK0C",
            "IAEoCzIaLnRlbnNvcmZsb3cuVmVyaWZpZXJDb25maWcaygEKFEN1c3RvbUdy",
            "YXBoT3B0aW1pemVyEgwKBG5hbWUYASABKAkSWAoNcGFyYW1ldGVyX21hcBgC",
            "IAMoCzJBLnRlbnNvcmZsb3cuUmV3cml0ZXJDb25maWcuQ3VzdG9tR3JhcGhP",
            "cHRpbWl6ZXIuUGFyYW1ldGVyTWFwRW50cnkaSgoRUGFyYW1ldGVyTWFwRW50",
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            "ZvgBAWIGcHJvdG8z"));
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            "b3JlX3Byb3Rvc19nb19wcm90b/gBAWIGcHJvdG8z"));
      descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
          new pbr::FileDescriptor[] { global::Tensorflow.AttrValueReflection.Descriptor, global::Tensorflow.VerifierConfigReflection.Descriptor, },
          new pbr::GeneratedClrTypeInfo(null, null, new pbr::GeneratedClrTypeInfo[] {
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.AutoParallelOptions), global::Tensorflow.AutoParallelOptions.Parser, new[]{ "Enable", "NumReplicas" }, null, null, null, null),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.ScopedAllocatorOptions), global::Tensorflow.ScopedAllocatorOptions.Parser, new[]{ "EnableOp" }, null, null, null, null),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.RewriterConfig), global::Tensorflow.RewriterConfig.Parser, new[]{ "LayoutOptimizer", "ConstantFolding", "ShapeOptimization", "Remapping", "ArithmeticOptimization", "DependencyOptimization", "LoopOptimization", "FunctionOptimization", "DebugStripper", "DisableModelPruning", "ScopedAllocatorOptimization", "PinToHostOptimization", "ImplementationSelector", "AutoMixedPrecision", "DisableMetaOptimizer", "MetaOptimizerIterations", "MinGraphNodes", "MemoryOptimization", "MemoryOptimizerTargetNodeNameScope", "MetaOptimizerTimeoutMs", "AutoParallel", "FailOnOptimizerErrors", "ScopedAllocatorOpts", "Optimizers", "CustomOptimizers", "InterOptimizerVerifierConfig", "PostOptimizationVerifierConfig" }, null, new[]{ typeof(global::Tensorflow.RewriterConfig.Types.Toggle), typeof(global::Tensorflow.RewriterConfig.Types.NumIterationsType), typeof(global::Tensorflow.RewriterConfig.Types.MemOptType) }, null, new pbr::GeneratedClrTypeInfo[] { new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.RewriterConfig.Types.CustomGraphOptimizer), global::Tensorflow.RewriterConfig.Types.CustomGraphOptimizer.Parser, new[]{ "Name", "ParameterMap" }, null, null, null, new pbr::GeneratedClrTypeInfo[] { null, })})
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.RewriterConfig), global::Tensorflow.RewriterConfig.Parser, new[]{ "LayoutOptimizer", "ConstantFolding", "ShapeOptimization", "Remapping", "CommonSubgraphElimination", "ArithmeticOptimization", "DependencyOptimization", "LoopOptimization", "FunctionOptimization", "DebugStripper", "DisableModelPruning", "ScopedAllocatorOptimization", "PinToHostOptimization", "ImplementationSelector", "AutoMixedPrecision", "AutoMixedPrecisionMkl", "DisableMetaOptimizer", "MetaOptimizerIterations", "MinGraphNodes", "MemoryOptimization", "MemoryOptimizerTargetNodeNameScope", "MetaOptimizerTimeoutMs", "AutoParallel", "FailOnOptimizerErrors", "ScopedAllocatorOpts", "Optimizers", "CustomOptimizers", "InterOptimizerVerifierConfig", "PostOptimizationVerifierConfig" }, null, new[]{ typeof(global::Tensorflow.RewriterConfig.Types.Toggle), typeof(global::Tensorflow.RewriterConfig.Types.NumIterationsType), typeof(global::Tensorflow.RewriterConfig.Types.MemOptType) }, null, new pbr::GeneratedClrTypeInfo[] { new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.RewriterConfig.Types.CustomGraphOptimizer), global::Tensorflow.RewriterConfig.Types.CustomGraphOptimizer.Parser, new[]{ "Name", "ParameterMap" }, null, null, null, new pbr::GeneratedClrTypeInfo[] { null, })})
          }));
    }
    #endregion
@@ -405,6 +408,7 @@ namespace Tensorflow {
      constantFolding_ = other.constantFolding_;
      shapeOptimization_ = other.shapeOptimization_;
      remapping_ = other.remapping_;
      commonSubgraphElimination_ = other.commonSubgraphElimination_;
      arithmeticOptimization_ = other.arithmeticOptimization_;
      dependencyOptimization_ = other.dependencyOptimization_;
      loopOptimization_ = other.loopOptimization_;
@@ -415,6 +419,7 @@ namespace Tensorflow {
      pinToHostOptimization_ = other.pinToHostOptimization_;
      implementationSelector_ = other.implementationSelector_;
      autoMixedPrecision_ = other.autoMixedPrecision_;
      autoMixedPrecisionMkl_ = other.autoMixedPrecisionMkl_;
      disableMetaOptimizer_ = other.disableMetaOptimizer_;
      metaOptimizerIterations_ = other.metaOptimizerIterations_;
      minGraphNodes_ = other.minGraphNodes_;
@@ -497,6 +502,21 @@ namespace Tensorflow {
      }
    }
    /// <summary>Field number for the "common_subgraph_elimination" field.</summary>
    public const int CommonSubgraphEliminationFieldNumber = 24;
    private global::Tensorflow.RewriterConfig.Types.Toggle commonSubgraphElimination_ = global::Tensorflow.RewriterConfig.Types.Toggle.Default;
    /// <summary>
    /// Common subgraph elimination (default is ON)
    /// e.g. Simplify arithmetic ops; merge ops with same value (like constants).
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public global::Tensorflow.RewriterConfig.Types.Toggle CommonSubgraphElimination {
      get { return commonSubgraphElimination_; }
      set {
        commonSubgraphElimination_ = value;
      }
    }
    /// <summary>Field number for the "arithmetic_optimization" field.</summary>
    public const int ArithmeticOptimizationFieldNumber = 7;
    private global::Tensorflow.RewriterConfig.Types.Toggle arithmeticOptimization_ = global::Tensorflow.RewriterConfig.Types.Toggle.Default;
@@ -631,8 +651,8 @@ namespace Tensorflow {
    public const int AutoMixedPrecisionFieldNumber = 23;
    private global::Tensorflow.RewriterConfig.Types.Toggle autoMixedPrecision_ = global::Tensorflow.RewriterConfig.Types.Toggle.Default;
    /// <summary>
    /// Optimize data types (default is OFF).
    /// e.g., This will try to use float16 on GPU which is faster.
    /// Optimize data types for CUDA (default is OFF).
    /// This will try to use float16 on GPU which is faster.
    /// Note that this can change the numerical stability of the graph and may
    /// require the use of loss scaling to maintain model convergence.
    /// </summary>
@@ -644,6 +664,22 @@ namespace Tensorflow {
      }
    }
    /// <summary>Field number for the "auto_mixed_precision_mkl" field.</summary>
    public const int AutoMixedPrecisionMklFieldNumber = 25;
    private global::Tensorflow.RewriterConfig.Types.Toggle autoMixedPrecisionMkl_ = global::Tensorflow.RewriterConfig.Types.Toggle.Default;
    /// <summary>
    /// Optimize data types for MKL (default is OFF).
    /// This will try to use bfloat16 on CPUs, which is faster.
    /// Note that this can change the numerical stability of the graph.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public global::Tensorflow.RewriterConfig.Types.Toggle AutoMixedPrecisionMkl {
      get { return autoMixedPrecisionMkl_; }
      set {
        autoMixedPrecisionMkl_ = value;
      }
    }
    /// <summary>Field number for the "disable_meta_optimizer" field.</summary>
    public const int DisableMetaOptimizerFieldNumber = 19;
    private bool disableMetaOptimizer_;
@@ -710,7 +746,7 @@ namespace Tensorflow {
    public const int MemoryOptimizerTargetNodeNameScopeFieldNumber = 6;
    private string memoryOptimizerTargetNodeNameScope_ = "";
    /// <summary>
    /// A node name scope for node names which are valid outputs of recompuations.
    /// A node name scope for node names which are valid outputs of recomputations.
    /// Inputs to nodes that match this scope may be recomputed (subject either to
    /// manual annotation of those input nodes or to manual annotation and
    /// heuristics depending on memory_optimization), but the nodes themselves will
@@ -868,6 +904,7 @@ namespace Tensorflow {
      if (ConstantFolding != other.ConstantFolding) return false;
      if (ShapeOptimization != other.ShapeOptimization) return false;
      if (Remapping != other.Remapping) return false;
      if (CommonSubgraphElimination != other.CommonSubgraphElimination) return false;
      if (ArithmeticOptimization != other.ArithmeticOptimization) return false;
      if (DependencyOptimization != other.DependencyOptimization) return false;
      if (LoopOptimization != other.LoopOptimization) return false;
@@ -878,6 +915,7 @@ namespace Tensorflow {
      if (PinToHostOptimization != other.PinToHostOptimization) return false;
      if (ImplementationSelector != other.ImplementationSelector) return false;
      if (AutoMixedPrecision != other.AutoMixedPrecision) return false;
      if (AutoMixedPrecisionMkl != other.AutoMixedPrecisionMkl) return false;
      if (DisableMetaOptimizer != other.DisableMetaOptimizer) return false;
      if (MetaOptimizerIterations != other.MetaOptimizerIterations) return false;
      if (MinGraphNodes != other.MinGraphNodes) return false;
@@ -901,6 +939,7 @@ namespace Tensorflow {
      if (ConstantFolding != global::Tensorflow.RewriterConfig.Types.Toggle.Default) hash ^= ConstantFolding.GetHashCode();
      if (ShapeOptimization != global::Tensorflow.RewriterConfig.Types.Toggle.Default) hash ^= ShapeOptimization.GetHashCode();
      if (Remapping != global::Tensorflow.RewriterConfig.Types.Toggle.Default) hash ^= Remapping.GetHashCode();
      if (CommonSubgraphElimination != global::Tensorflow.RewriterConfig.Types.Toggle.Default) hash ^= CommonSubgraphElimination.GetHashCode();
      if (ArithmeticOptimization != global::Tensorflow.RewriterConfig.Types.Toggle.Default) hash ^= ArithmeticOptimization.GetHashCode();
      if (DependencyOptimization != global::Tensorflow.RewriterConfig.Types.Toggle.Default) hash ^= DependencyOptimization.GetHashCode();
      if (LoopOptimization != global::Tensorflow.RewriterConfig.Types.Toggle.Default) hash ^= LoopOptimization.GetHashCode();
@@ -911,6 +950,7 @@ namespace Tensorflow {
      if (PinToHostOptimization != global::Tensorflow.RewriterConfig.Types.Toggle.Default) hash ^= PinToHostOptimization.GetHashCode();
      if (ImplementationSelector != global::Tensorflow.RewriterConfig.Types.Toggle.Default) hash ^= ImplementationSelector.GetHashCode();
      if (AutoMixedPrecision != global::Tensorflow.RewriterConfig.Types.Toggle.Default) hash ^= AutoMixedPrecision.GetHashCode();
      if (AutoMixedPrecisionMkl != global::Tensorflow.RewriterConfig.Types.Toggle.Default) hash ^= AutoMixedPrecisionMkl.GetHashCode();
      if (DisableMetaOptimizer != false) hash ^= DisableMetaOptimizer.GetHashCode();
      if (MetaOptimizerIterations != global::Tensorflow.RewriterConfig.Types.NumIterationsType.DefaultNumIters) hash ^= MetaOptimizerIterations.GetHashCode();
      if (MinGraphNodes != 0) hash ^= MinGraphNodes.GetHashCode();
@@ -1029,6 +1069,14 @@ namespace Tensorflow {
        output.WriteRawTag(184, 1);
        output.WriteEnum((int) AutoMixedPrecision);
      }
      if (CommonSubgraphElimination != global::Tensorflow.RewriterConfig.Types.Toggle.Default) {
        output.WriteRawTag(192, 1);
        output.WriteEnum((int) CommonSubgraphElimination);
      }
      if (AutoMixedPrecisionMkl != global::Tensorflow.RewriterConfig.Types.Toggle.Default) {
        output.WriteRawTag(200, 1);
        output.WriteEnum((int) AutoMixedPrecisionMkl);
      }
      optimizers_.WriteTo(output, _repeated_optimizers_codec);
      customOptimizers_.WriteTo(output, _repeated_customOptimizers_codec);
      if (interOptimizerVerifierConfig_ != null) {
@@ -1059,6 +1107,9 @@ namespace Tensorflow {
      if (Remapping != global::Tensorflow.RewriterConfig.Types.Toggle.Default) {
        size += 1 + pb::CodedOutputStream.ComputeEnumSize((int) Remapping);
      }
      if (CommonSubgraphElimination != global::Tensorflow.RewriterConfig.Types.Toggle.Default) {
        size += 2 + pb::CodedOutputStream.ComputeEnumSize((int) CommonSubgraphElimination);
      }
      if (ArithmeticOptimization != global::Tensorflow.RewriterConfig.Types.Toggle.Default) {
        size += 1 + pb::CodedOutputStream.ComputeEnumSize((int) ArithmeticOptimization);
      }
@@ -1089,6 +1140,9 @@ namespace Tensorflow {
      if (AutoMixedPrecision != global::Tensorflow.RewriterConfig.Types.Toggle.Default) {
        size += 2 + pb::CodedOutputStream.ComputeEnumSize((int) AutoMixedPrecision);
      }
      if (AutoMixedPrecisionMkl != global::Tensorflow.RewriterConfig.Types.Toggle.Default) {
        size += 2 + pb::CodedOutputStream.ComputeEnumSize((int) AutoMixedPrecisionMkl);
      }
      if (DisableMetaOptimizer != false) {
        size += 2 + 1;
      }
@@ -1147,6 +1201,9 @@ namespace Tensorflow {
      if (other.Remapping != global::Tensorflow.RewriterConfig.Types.Toggle.Default) {
        Remapping = other.Remapping;
      }
      if (other.CommonSubgraphElimination != global::Tensorflow.RewriterConfig.Types.Toggle.Default) {
        CommonSubgraphElimination = other.CommonSubgraphElimination;
      }
      if (other.ArithmeticOptimization != global::Tensorflow.RewriterConfig.Types.Toggle.Default) {
        ArithmeticOptimization = other.ArithmeticOptimization;
      }
@@ -1177,6 +1234,9 @@ namespace Tensorflow {
      if (other.AutoMixedPrecision != global::Tensorflow.RewriterConfig.Types.Toggle.Default) {
        AutoMixedPrecision = other.AutoMixedPrecision;
      }
      if (other.AutoMixedPrecisionMkl != global::Tensorflow.RewriterConfig.Types.Toggle.Default) {
        AutoMixedPrecisionMkl = other.AutoMixedPrecisionMkl;
      }
      if (other.DisableMetaOptimizer != false) {
        DisableMetaOptimizer = other.DisableMetaOptimizer;
      }
@@ -1333,6 +1393,14 @@ namespace Tensorflow {
            AutoMixedPrecision = (global::Tensorflow.RewriterConfig.Types.Toggle) input.ReadEnum();
            break;
          }
          case 192: {
            CommonSubgraphElimination = (global::Tensorflow.RewriterConfig.Types.Toggle) input.ReadEnum();
            break;
          }
          case 200: {
            AutoMixedPrecisionMkl = (global::Tensorflow.RewriterConfig.Types.Toggle) input.ReadEnum();
            break;
          }
          case 802: {
            optimizers_.AddEntriesFrom(input, _repeated_optimizers_codec);
            break;
--- a/src/TensorFlowNET.Core/Protobuf/SavedObjectGraph.cs
+++ b/src/TensorFlowNET.Core/Protobuf/SavedObjectGraph.cs
@@ -25,18 +25,18 @@ namespace Tensorflow {
      byte[] descriptorData = global::System.Convert.FromBase64String(
          string.Concat(
            "CjF0ZW5zb3JmbG93L2NvcmUvcHJvdG9idWYvc2F2ZWRfb2JqZWN0X2dyYXBo",
            "LnByb3RvEgp0ZW5zb3JmbG93GjV0ZW5zb3JmbG93L2NvcmUvcHJvdG9idWYv",
            "dHJhY2thYmxlX29iamVjdF9ncmFwaC5wcm90bxoldGVuc29yZmxvdy9jb3Jl",
            "L3Byb3RvYnVmL3N0cnVjdC5wcm90bxosdGVuc29yZmxvdy9jb3JlL2ZyYW1l",
            "d29yay90ZW5zb3Jfc2hhcGUucHJvdG8aJXRlbnNvcmZsb3cvY29yZS9mcmFt",
            "ZXdvcmsvdHlwZXMucHJvdG8aKHRlbnNvcmZsb3cvY29yZS9mcmFtZXdvcmsv",
            "dmVyc2lvbnMucHJvdG8aKHRlbnNvcmZsb3cvY29yZS9mcmFtZXdvcmsvdmFy",
            "aWFibGUucHJvdG8i6AEKEFNhdmVkT2JqZWN0R3JhcGgSJgoFbm9kZXMYASAD",
            "LnByb3RvEgp0ZW5zb3JmbG93Gix0ZW5zb3JmbG93L2NvcmUvZnJhbWV3b3Jr",
            "L3RlbnNvcl9zaGFwZS5wcm90bxoldGVuc29yZmxvdy9jb3JlL2ZyYW1ld29y",
            "ay90eXBlcy5wcm90bxoodGVuc29yZmxvdy9jb3JlL2ZyYW1ld29yay92YXJp",
            "YWJsZS5wcm90bxoodGVuc29yZmxvdy9jb3JlL2ZyYW1ld29yay92ZXJzaW9u",
            "cy5wcm90bxoldGVuc29yZmxvdy9jb3JlL3Byb3RvYnVmL3N0cnVjdC5wcm90",
            "bxo1dGVuc29yZmxvdy9jb3JlL3Byb3RvYnVmL3RyYWNrYWJsZV9vYmplY3Rf",
            "Z3JhcGgucHJvdG8i6AEKEFNhdmVkT2JqZWN0R3JhcGgSJgoFbm9kZXMYASAD",
            "KAsyFy50ZW5zb3JmbG93LlNhdmVkT2JqZWN0Ek8KEmNvbmNyZXRlX2Z1bmN0",
            "aW9ucxgCIAMoCzIzLnRlbnNvcmZsb3cuU2F2ZWRPYmplY3RHcmFwaC5Db25j",
            "cmV0ZUZ1bmN0aW9uc0VudHJ5GlsKFkNvbmNyZXRlRnVuY3Rpb25zRW50cnkS",
            "CwoDa2V5GAEgASgJEjAKBXZhbHVlGAIgASgLMiEudGVuc29yZmxvdy5TYXZl",
            "ZENvbmNyZXRlRnVuY3Rpb246AjgBIr0ECgtTYXZlZE9iamVjdBJSCghjaGls",
            "ZENvbmNyZXRlRnVuY3Rpb246AjgBItkFCgtTYXZlZE9iamVjdBJSCghjaGls",
            "ZHJlbhgBIAMoCzJALnRlbnNvcmZsb3cuVHJhY2thYmxlT2JqZWN0R3JhcGgu",
            "VHJhY2thYmxlT2JqZWN0Lk9iamVjdFJlZmVyZW5jZRJeCg5zbG90X3Zhcmlh",
            "YmxlcxgDIAMoCzJGLnRlbnNvcmZsb3cuVHJhY2thYmxlT2JqZWN0R3JhcGgu",
@@ -48,35 +48,42 @@ namespace Tensorflow {
            "RwoWYmFyZV9jb25jcmV0ZV9mdW5jdGlvbhgIIAEoCzIlLnRlbnNvcmZsb3cu",
            "U2F2ZWRCYXJlQ29uY3JldGVGdW5jdGlvbkgAEi0KCGNvbnN0YW50GAkgASgL",
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            "GAEgASgJEicKB3ZlcnNpb24YAiABKAsyFi50ZW5zb3JmbG93LlZlcnNpb25E",
            "ZWYSEAoIbWV0YWRhdGEYAyABKAkiKgoKU2F2ZWRBc3NldBIcChRhc3NldF9m",
            "aWxlX2RlZl9pbmRleBgBIAEoBSJcCg1TYXZlZEZ1bmN0aW9uEhoKEmNvbmNy",
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            "YWx1ZRI1ChBvdXRwdXRfc2lnbmF0dXJlGAQgASgLMhsudGVuc29yZmxvdy5T",
            "dHJ1Y3R1cmVkVmFsdWUifAoZU2F2ZWRCYXJlQ29uY3JldGVGdW5jdGlvbhIe",
            "ChZjb25jcmV0ZV9mdW5jdGlvbl9uYW1lGAEgASgJEhkKEWFyZ3VtZW50X2tl",
            "eXdvcmRzGAIgAygJEiQKHGFsbG93ZWRfcG9zaXRpb25hbF9hcmd1bWVudHMY",
            "AyABKAMiIgoNU2F2ZWRDb25zdGFudBIRCglvcGVyYXRpb24YASABKAki9gEK",
            "DVNhdmVkVmFyaWFibGUSIwoFZHR5cGUYASABKA4yFC50ZW5zb3JmbG93LkRh",
            "dGFUeXBlEisKBXNoYXBlGAIgASgLMhwudGVuc29yZmxvdy5UZW5zb3JTaGFw",
            "ZVByb3RvEhEKCXRyYWluYWJsZRgDIAEoCBI8Cg9zeW5jaHJvbml6YXRpb24Y",
            "BCABKA4yIy50ZW5zb3JmbG93LlZhcmlhYmxlU3luY2hyb25pemF0aW9uEjQK",
            "C2FnZ3JlZ2F0aW9uGAUgASgOMh8udGVuc29yZmxvdy5WYXJpYWJsZUFnZ3Jl",
            "Z2F0aW9uEgwKBG5hbWUYBiABKAkilQEKDEZ1bmN0aW9uU3BlYxIwCgtmdWxs",
            "YXJnc3BlYxgBIAEoCzIbLnRlbnNvcmZsb3cuU3RydWN0dXJlZFZhbHVlEhEK",
            "CWlzX21ldGhvZBgCIAEoCBI0Cg9pbnB1dF9zaWduYXR1cmUYBSABKAsyGy50",
            "ZW5zb3JmbG93LlN0cnVjdHVyZWRWYWx1ZUoECAMQBEoECAQQBSIfCg1TYXZl",
            "ZFJlc291cmNlEg4KBmRldmljZRgBIAEoCUID+AEBYgZwcm90bzM="));
            "KAsyGS50ZW5zb3JmbG93LlNhdmVkUmVzb3VyY2VIABJGChBzYXZlYWJsZV9v",
            "YmplY3RzGAsgAygLMiwudGVuc29yZmxvdy5TYXZlZE9iamVjdC5TYXZlYWJs",
            "ZU9iamVjdHNFbnRyeRpSChRTYXZlYWJsZU9iamVjdHNFbnRyeRILCgNrZXkY",
            "ASABKAkSKQoFdmFsdWUYAiABKAsyGi50ZW5zb3JmbG93LlNhdmVhYmxlT2Jq",
            "ZWN0OgI4AUIGCgRraW5kSgQIAhADUgphdHRyaWJ1dGVzImAKD1NhdmVkVXNl",
            "ck9iamVjdBISCgppZGVudGlmaWVyGAEgASgJEicKB3ZlcnNpb24YAiABKAsy",
            "Fi50ZW5zb3JmbG93LlZlcnNpb25EZWYSEAoIbWV0YWRhdGEYAyABKAkiKgoK",
            "U2F2ZWRBc3NldBIcChRhc3NldF9maWxlX2RlZl9pbmRleBgBIAEoBSJcCg1T",
            "YXZlZEZ1bmN0aW9uEhoKEmNvbmNyZXRlX2Z1bmN0aW9ucxgBIAMoCRIvCg1m",
            "dW5jdGlvbl9zcGVjGAIgASgLMhgudGVuc29yZmxvdy5GdW5jdGlvblNwZWMi",
            "qAEKFVNhdmVkQ29uY3JldGVGdW5jdGlvbhIUCgxib3VuZF9pbnB1dHMYAiAD",
            "KAUSQgodY2Fub25pY2FsaXplZF9pbnB1dF9zaWduYXR1cmUYAyABKAsyGy50",
            "ZW5zb3JmbG93LlN0cnVjdHVyZWRWYWx1ZRI1ChBvdXRwdXRfc2lnbmF0dXJl",
            "GAQgASgLMhsudGVuc29yZmxvdy5TdHJ1Y3R1cmVkVmFsdWUifAoZU2F2ZWRC",
            "YXJlQ29uY3JldGVGdW5jdGlvbhIeChZjb25jcmV0ZV9mdW5jdGlvbl9uYW1l",
            "GAEgASgJEhkKEWFyZ3VtZW50X2tleXdvcmRzGAIgAygJEiQKHGFsbG93ZWRf",
            "cG9zaXRpb25hbF9hcmd1bWVudHMYAyABKAMiIgoNU2F2ZWRDb25zdGFudBIR",
            "CglvcGVyYXRpb24YASABKAki9gEKDVNhdmVkVmFyaWFibGUSIwoFZHR5cGUY",
            "ASABKA4yFC50ZW5zb3JmbG93LkRhdGFUeXBlEisKBXNoYXBlGAIgASgLMhwu",
            "dGVuc29yZmxvdy5UZW5zb3JTaGFwZVByb3RvEhEKCXRyYWluYWJsZRgDIAEo",
            "CBI8Cg9zeW5jaHJvbml6YXRpb24YBCABKA4yIy50ZW5zb3JmbG93LlZhcmlh",
            "YmxlU3luY2hyb25pemF0aW9uEjQKC2FnZ3JlZ2F0aW9uGAUgASgOMh8udGVu",
            "c29yZmxvdy5WYXJpYWJsZUFnZ3JlZ2F0aW9uEgwKBG5hbWUYBiABKAkilQEK",
            "DEZ1bmN0aW9uU3BlYxIwCgtmdWxsYXJnc3BlYxgBIAEoCzIbLnRlbnNvcmZs",
            "b3cuU3RydWN0dXJlZFZhbHVlEhEKCWlzX21ldGhvZBgCIAEoCBI0Cg9pbnB1",
            "dF9zaWduYXR1cmUYBSABKAsyGy50ZW5zb3JmbG93LlN0cnVjdHVyZWRWYWx1",
            "ZUoECAMQBEoECAQQBSIfCg1TYXZlZFJlc291cmNlEg4KBmRldmljZRgBIAEo",
            "CSJBCg5TYXZlYWJsZU9iamVjdBIVCg1zYXZlX2Z1bmN0aW9uGAIgASgFEhgK",
            "EHJlc3RvcmVfZnVuY3Rpb24YAyABKAVCTVpIZ2l0aHViLmNvbS90ZW5zb3Jm",
            "bG93L3RlbnNvcmZsb3cvdGVuc29yZmxvdy9nby9jb3JlL2NvcmVfcHJvdG9z",
            "X2dvX3Byb3Rv+AEBYgZwcm90bzM="));
      descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
          new pbr::FileDescriptor[] { global::Tensorflow.TrackableObjectGraphReflection.Descriptor, global::Tensorflow.StructReflection.Descriptor, global::Tensorflow.TensorShapeReflection.Descriptor, global::Tensorflow.TypesReflection.Descriptor, global::Tensorflow.VersionsReflection.Descriptor, global::Tensorflow.VariableReflection.Descriptor, },
          new pbr::FileDescriptor[] { global::Tensorflow.TensorShapeReflection.Descriptor, global::Tensorflow.TypesReflection.Descriptor, global::Tensorflow.VariableReflection.Descriptor, global::Tensorflow.VersionsReflection.Descriptor, global::Tensorflow.StructReflection.Descriptor, global::Tensorflow.TrackableObjectGraphReflection.Descriptor, },
          new pbr::GeneratedClrTypeInfo(null, null, new pbr::GeneratedClrTypeInfo[] {
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.SavedObjectGraph), global::Tensorflow.SavedObjectGraph.Parser, new[]{ "Nodes", "ConcreteFunctions" }, null, null, null, new pbr::GeneratedClrTypeInfo[] { null, }),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.SavedObject), global::Tensorflow.SavedObject.Parser, new[]{ "Children", "SlotVariables", "UserObject", "Asset", "Function", "Variable", "BareConcreteFunction", "Constant", "Resource" }, new[]{ "Kind" }, null, null, null),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.SavedObject), global::Tensorflow.SavedObject.Parser, new[]{ "Children", "SlotVariables", "UserObject", "Asset", "Function", "Variable", "BareConcreteFunction", "Constant", "Resource", "SaveableObjects" }, new[]{ "Kind" }, null, null, new pbr::GeneratedClrTypeInfo[] { null, }),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.SavedUserObject), global::Tensorflow.SavedUserObject.Parser, new[]{ "Identifier", "Version", "Metadata" }, null, null, null, null),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.SavedAsset), global::Tensorflow.SavedAsset.Parser, new[]{ "AssetFileDefIndex" }, null, null, null, null),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.SavedFunction), global::Tensorflow.SavedFunction.Parser, new[]{ "ConcreteFunctions", "FunctionSpec" }, null, null, null, null),
@@ -85,7 +92,8 @@ namespace Tensorflow {
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.SavedConstant), global::Tensorflow.SavedConstant.Parser, new[]{ "Operation" }, null, null, null, null),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.SavedVariable), global::Tensorflow.SavedVariable.Parser, new[]{ "Dtype", "Shape", "Trainable", "Synchronization", "Aggregation", "Name" }, null, null, null, null),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.FunctionSpec), global::Tensorflow.FunctionSpec.Parser, new[]{ "Fullargspec", "IsMethod", "InputSignature" }, null, null, null, null),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.SavedResource), global::Tensorflow.SavedResource.Parser, new[]{ "Device" }, null, null, null, null)
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.SavedResource), global::Tensorflow.SavedResource.Parser, new[]{ "Device" }, null, null, null, null),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.SaveableObject), global::Tensorflow.SaveableObject.Parser, new[]{ "SaveFunction", "RestoreFunction" }, null, null, null, null)
          }));
    }
    #endregion
@@ -270,6 +278,7 @@ namespace Tensorflow {
    public SavedObject(SavedObject other) : this() {
      children_ = other.children_.Clone();
      slotVariables_ = other.slotVariables_.Clone();
      saveableObjects_ = other.saveableObjects_.Clone();
      switch (other.KindCase) {
        case KindOneofCase.UserObject:
          UserObject = other.UserObject.Clone();
@@ -412,6 +421,16 @@ namespace Tensorflow {
      }
    }
    /// <summary>Field number for the "saveable_objects" field.</summary>
    public const int SaveableObjectsFieldNumber = 11;
    private static readonly pbc::MapField<string, global::Tensorflow.SaveableObject>.Codec _map_saveableObjects_codec
        = new pbc::MapField<string, global::Tensorflow.SaveableObject>.Codec(pb::FieldCodec.ForString(10, ""), pb::FieldCodec.ForMessage(18, global::Tensorflow.SaveableObject.Parser), 90);
    private readonly pbc::MapField<string, global::Tensorflow.SaveableObject> saveableObjects_ = new pbc::MapField<string, global::Tensorflow.SaveableObject>();
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public pbc::MapField<string, global::Tensorflow.SaveableObject> SaveableObjects {
      get { return saveableObjects_; }
    }
    private object kind_;
    /// <summary>Enum of possible cases for the "kind" oneof.</summary>
    public enum KindOneofCase {
@@ -458,6 +477,7 @@ namespace Tensorflow {
      if (!object.Equals(BareConcreteFunction, other.BareConcreteFunction)) return false;
      if (!object.Equals(Constant, other.Constant)) return false;
      if (!object.Equals(Resource, other.Resource)) return false;
      if (!SaveableObjects.Equals(other.SaveableObjects)) return false;
      if (KindCase != other.KindCase) return false;
      return Equals(_unknownFields, other._unknownFields);
    }
@@ -474,6 +494,7 @@ namespace Tensorflow {
      if (kindCase_ == KindOneofCase.BareConcreteFunction) hash ^= BareConcreteFunction.GetHashCode();
      if (kindCase_ == KindOneofCase.Constant) hash ^= Constant.GetHashCode();
      if (kindCase_ == KindOneofCase.Resource) hash ^= Resource.GetHashCode();
      hash ^= SaveableObjects.GetHashCode();
      hash ^= (int) kindCase_;
      if (_unknownFields != null) {
        hash ^= _unknownFields.GetHashCode();
@@ -518,6 +539,7 @@ namespace Tensorflow {
        output.WriteRawTag(82);
        output.WriteMessage(Resource);
      }
      saveableObjects_.WriteTo(output, _map_saveableObjects_codec);
      if (_unknownFields != null) {
        _unknownFields.WriteTo(output);
      }
@@ -549,6 +571,7 @@ namespace Tensorflow {
      if (kindCase_ == KindOneofCase.Resource) {
        size += 1 + pb::CodedOutputStream.ComputeMessageSize(Resource);
      }
      size += saveableObjects_.CalculateSize(_map_saveableObjects_codec);
      if (_unknownFields != null) {
        size += _unknownFields.CalculateSize();
      }
@@ -562,6 +585,7 @@ namespace Tensorflow {
      }
      children_.Add(other.children_);
      slotVariables_.Add(other.slotVariables_);
      saveableObjects_.Add(other.saveableObjects_);
      switch (other.KindCase) {
        case KindOneofCase.UserObject:
          if (UserObject == null) {
@@ -689,6 +713,10 @@ namespace Tensorflow {
            Resource = subBuilder;
            break;
          }
          case 90: {
            saveableObjects_.AddEntriesFrom(input, _map_saveableObjects_codec);
            break;
          }
        }
      }
    }
@@ -2358,6 +2386,166 @@ namespace Tensorflow {
  }
  public sealed partial class SaveableObject : pb::IMessage<SaveableObject> {
    private static readonly pb::MessageParser<SaveableObject> _parser = new pb::MessageParser<SaveableObject>(() => new SaveableObject());
    private pb::UnknownFieldSet _unknownFields;
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public static pb::MessageParser<SaveableObject> Parser { get { return _parser; } }
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public static pbr::MessageDescriptor Descriptor {
      get { return global::Tensorflow.SavedObjectGraphReflection.Descriptor.MessageTypes[11]; }
    }
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    pbr::MessageDescriptor pb::IMessage.Descriptor {
      get { return Descriptor; }
    }
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public SaveableObject() {
      OnConstruction();
    }
    partial void OnConstruction();
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public SaveableObject(SaveableObject other) : this() {
      saveFunction_ = other.saveFunction_;
      restoreFunction_ = other.restoreFunction_;
      _unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
    }
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public SaveableObject Clone() {
      return new SaveableObject(this);
    }
    /// <summary>Field number for the "save_function" field.</summary>
    public const int SaveFunctionFieldNumber = 2;
    private int saveFunction_;
    /// <summary>
    /// Node ids of concrete functions for saving and loading from a checkpoint.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public int SaveFunction {
      get { return saveFunction_; }
      set {
        saveFunction_ = value;
      }
    }
    /// <summary>Field number for the "restore_function" field.</summary>
    public const int RestoreFunctionFieldNumber = 3;
    private int restoreFunction_;
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public int RestoreFunction {
      get { return restoreFunction_; }
      set {
        restoreFunction_ = value;
      }
    }
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public override bool Equals(object other) {
      return Equals(other as SaveableObject);
    }
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public bool Equals(SaveableObject other) {
      if (ReferenceEquals(other, null)) {
        return false;
      }
      if (ReferenceEquals(other, this)) {
        return true;
      }
      if (SaveFunction != other.SaveFunction) return false;
      if (RestoreFunction != other.RestoreFunction) return false;
      return Equals(_unknownFields, other._unknownFields);
    }
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public override int GetHashCode() {
      int hash = 1;
      if (SaveFunction != 0) hash ^= SaveFunction.GetHashCode();
      if (RestoreFunction != 0) hash ^= RestoreFunction.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 (SaveFunction != 0) {
        output.WriteRawTag(16);
        output.WriteInt32(SaveFunction);
      }
      if (RestoreFunction != 0) {
        output.WriteRawTag(24);
        output.WriteInt32(RestoreFunction);
      }
      if (_unknownFields != null) {
        _unknownFields.WriteTo(output);
      }
    }
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public int CalculateSize() {
      int size = 0;
      if (SaveFunction != 0) {
        size += 1 + pb::CodedOutputStream.ComputeInt32Size(SaveFunction);
      }
      if (RestoreFunction != 0) {
        size += 1 + pb::CodedOutputStream.ComputeInt32Size(RestoreFunction);
      }
      if (_unknownFields != null) {
        size += _unknownFields.CalculateSize();
      }
      return size;
    }
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public void MergeFrom(SaveableObject other) {
      if (other == null) {
        return;
      }
      if (other.SaveFunction != 0) {
        SaveFunction = other.SaveFunction;
      }
      if (other.RestoreFunction != 0) {
        RestoreFunction = other.RestoreFunction;
      }
      _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: {
            SaveFunction = input.ReadInt32();
            break;
          }
          case 24: {
            RestoreFunction = input.ReadInt32();
            break;
          }
        }
      }
    }
  }
  #endregion
 }
--- a/src/TensorFlowNET.Core/Protobuf/Saver.cs
+++ b/src/TensorFlowNET.Core/Protobuf/Saver.cs
@@ -31,9 +31,10 @@ namespace Tensorflow {
            "KAgSJQoda2VlcF9jaGVja3BvaW50X2V2ZXJ5X25faG91cnMYBiABKAISPQoH",
            "dmVyc2lvbhgHIAEoDjIsLnRlbnNvcmZsb3cuU2F2ZXJEZWYuQ2hlY2twb2lu",
            "dEZvcm1hdFZlcnNpb24iNQoXQ2hlY2twb2ludEZvcm1hdFZlcnNpb24SCgoG",
            "TEVHQUNZEAASBgoCVjEQARIGCgJWMhACQmUKE29yZy50ZW5zb3JmbG93LnV0",
            "aWxCC1NhdmVyUHJvdG9zUAFaPGdpdGh1Yi5jb20vdGVuc29yZmxvdy90ZW5z",
            "b3JmbG93L3RlbnNvcmZsb3cvZ28vY29yZS9wcm90b2J1ZvgBAWIGcHJvdG8z"));
            "TEVHQUNZEAASBgoCVjEQARIGCgJWMhACQnEKE29yZy50ZW5zb3JmbG93LnV0",
            "aWxCC1NhdmVyUHJvdG9zUAFaSGdpdGh1Yi5jb20vdGVuc29yZmxvdy90ZW5z",
            "b3JmbG93L3RlbnNvcmZsb3cvZ28vY29yZS9jb3JlX3Byb3Rvc19nb19wcm90",
            "b/gBAWIGcHJvdG8z"));
      descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
          new pbr::FileDescriptor[] { },
          new pbr::GeneratedClrTypeInfo(null, null, new pbr::GeneratedClrTypeInfo[] {
--- a/src/TensorFlowNET.Core/Protobuf/StepStats.cs
+++ b/src/TensorFlowNET.Core/Protobuf/StepStats.cs
@@ -58,10 +58,10 @@ namespace Tensorflow {
            "cxgDIAMoCzIsLnRlbnNvcmZsb3cuRGV2aWNlU3RlcFN0YXRzLlRocmVhZE5h",
            "bWVzRW50cnkaMgoQVGhyZWFkTmFtZXNFbnRyeRILCgNrZXkYASABKA0SDQoF",
            "dmFsdWUYAiABKAk6AjgBIjsKCVN0ZXBTdGF0cxIuCglkZXZfc3RhdHMYASAD",
            "KAsyGy50ZW5zb3JmbG93LkRldmljZVN0ZXBTdGF0c0JvChhvcmcudGVuc29y",
            "Zmxvdy5mcmFtZXdvcmtCD1N0ZXBTdGF0c1Byb3Rvc1ABWj1naXRodWIuY29t",
            "L3RlbnNvcmZsb3cvdGVuc29yZmxvdy90ZW5zb3JmbG93L2dvL2NvcmUvZnJh",
            "bWV3b3Jr+AEBYgZwcm90bzM="));
            "KAsyGy50ZW5zb3JmbG93LkRldmljZVN0ZXBTdGF0c0KDAQoYb3JnLnRlbnNv",
            "cmZsb3cuZnJhbWV3b3JrQg9TdGVwU3RhdHNQcm90b3NQAVpRZ2l0aHViLmNv",
            "bS90ZW5zb3JmbG93L3RlbnNvcmZsb3cvdGVuc29yZmxvdy9nby9jb3JlL2Zy",
            "YW1ld29yay9zdGVwX3N0YXRzX2dvX3Byb3Rv+AEBYgZwcm90bzM="));
      descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
          new pbr::FileDescriptor[] { global::Tensorflow.AllocationDescriptionReflection.Descriptor, global::Tensorflow.TensorDescriptionReflection.Descriptor, },
          new pbr::GeneratedClrTypeInfo(null, null, new pbr::GeneratedClrTypeInfo[] {
--- a/src/TensorFlowNET.Core/Protobuf/Struct.cs
+++ b/src/TensorFlowNET.Core/Protobuf/Struct.cs
@@ -25,46 +25,56 @@ namespace Tensorflow {
      byte[] descriptorData = global::System.Convert.FromBase64String(
          string.Concat(
            "CiV0ZW5zb3JmbG93L2NvcmUvcHJvdG9idWYvc3RydWN0LnByb3RvEgp0ZW5z",
            "b3JmbG93Gix0ZW5zb3JmbG93L2NvcmUvZnJhbWV3b3JrL3RlbnNvcl9zaGFw",
            "ZS5wcm90bxoldGVuc29yZmxvdy9jb3JlL2ZyYW1ld29yay90eXBlcy5wcm90",
            "byLHBAoPU3RydWN0dXJlZFZhbHVlEisKCm5vbmVfdmFsdWUYASABKAsyFS50",
            "ZW5zb3JmbG93Lk5vbmVWYWx1ZUgAEhcKDWZsb2F0NjRfdmFsdWUYCyABKAFI",
            "ABIVCgtpbnQ2NF92YWx1ZRgMIAEoEkgAEhYKDHN0cmluZ192YWx1ZRgNIAEo",
            "CUgAEhQKCmJvb2xfdmFsdWUYDiABKAhIABI6ChJ0ZW5zb3Jfc2hhcGVfdmFs",
            "dWUYHyABKAsyHC50ZW5zb3JmbG93LlRlbnNvclNoYXBlUHJvdG9IABIyChJ0",
            "ZW5zb3JfZHR5cGVfdmFsdWUYICABKA4yFC50ZW5zb3JmbG93LkRhdGFUeXBl",
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            "cm90bzM="));
      descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
          new pbr::FileDescriptor[] { global::Tensorflow.TensorShapeReflection.Descriptor, global::Tensorflow.TypesReflection.Descriptor, },
          new pbr::FileDescriptor[] { global::Tensorflow.TensorReflection.Descriptor, global::Tensorflow.TensorShapeReflection.Descriptor, global::Tensorflow.TypesReflection.Descriptor, },
          new pbr::GeneratedClrTypeInfo(null, null, new pbr::GeneratedClrTypeInfo[] {
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.StructuredValue), global::Tensorflow.StructuredValue.Parser, new[]{ "NoneValue", "Float64Value", "Int64Value", "StringValue", "BoolValue", "TensorShapeValue", "TensorDtypeValue", "TensorSpecValue", "TypeSpecValue", "ListValue", "TupleValue", "DictValue", "NamedTupleValue" }, new[]{ "Kind" }, null, null, null),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.StructuredValue), global::Tensorflow.StructuredValue.Parser, new[]{ "NoneValue", "Float64Value", "Int64Value", "StringValue", "BoolValue", "TensorShapeValue", "TensorDtypeValue", "TensorSpecValue", "TypeSpecValue", "BoundedTensorSpecValue", "ListValue", "TupleValue", "DictValue", "NamedTupleValue" }, new[]{ "Kind" }, null, null, null),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.NoneValue), global::Tensorflow.NoneValue.Parser, null, null, null, null, null),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.ListValue), global::Tensorflow.ListValue.Parser, new[]{ "Values" }, null, null, null, null),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.TupleValue), global::Tensorflow.TupleValue.Parser, new[]{ "Values" }, null, null, null, null),
@@ -72,6 +82,7 @@ namespace Tensorflow {
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.PairValue), global::Tensorflow.PairValue.Parser, new[]{ "Key", "Value" }, null, null, null, null),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.NamedTupleValue), global::Tensorflow.NamedTupleValue.Parser, new[]{ "Name", "Values" }, null, null, null, null),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.TensorSpecProto), global::Tensorflow.TensorSpecProto.Parser, new[]{ "Name", "Shape", "Dtype" }, null, null, null, null),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.BoundedTensorSpecProto), global::Tensorflow.BoundedTensorSpecProto.Parser, new[]{ "Name", "Shape", "Dtype", "Minimum", "Maximum" }, null, null, null, null),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.TypeSpecProto), global::Tensorflow.TypeSpecProto.Parser, new[]{ "TypeSpecClass", "TypeState", "TypeSpecClassName" }, null, new[]{ typeof(global::Tensorflow.TypeSpecProto.Types.TypeSpecClass) }, null, null)
          }));
    }
@@ -158,6 +169,9 @@ namespace Tensorflow {
        case KindOneofCase.TypeSpecValue:
          TypeSpecValue = other.TypeSpecValue.Clone();
          break;
        case KindOneofCase.BoundedTensorSpecValue:
          BoundedTensorSpecValue = other.BoundedTensorSpecValue.Clone();
          break;
        case KindOneofCase.ListValue:
          ListValue = other.ListValue.Clone();
          break;
@@ -312,6 +326,20 @@ namespace Tensorflow {
      }
    }
    /// <summary>Field number for the "bounded_tensor_spec_value" field.</summary>
    public const int BoundedTensorSpecValueFieldNumber = 35;
    /// <summary>
    /// Represents a value for tf.BoundedTensorSpec.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public global::Tensorflow.BoundedTensorSpecProto BoundedTensorSpecValue {
      get { return kindCase_ == KindOneofCase.BoundedTensorSpecValue ? (global::Tensorflow.BoundedTensorSpecProto) kind_ : null; }
      set {
        kind_ = value;
        kindCase_ = value == null ? KindOneofCase.None : KindOneofCase.BoundedTensorSpecValue;
      }
    }
    /// <summary>Field number for the "list_value" field.</summary>
    public const int ListValueFieldNumber = 51;
    /// <summary>
@@ -381,6 +409,7 @@ namespace Tensorflow {
      TensorDtypeValue = 32,
      TensorSpecValue = 33,
      TypeSpecValue = 34,
      BoundedTensorSpecValue = 35,
      ListValue = 51,
      TupleValue = 52,
      DictValue = 53,
@@ -420,6 +449,7 @@ namespace Tensorflow {
      if (TensorDtypeValue != other.TensorDtypeValue) return false;
      if (!object.Equals(TensorSpecValue, other.TensorSpecValue)) return false;
      if (!object.Equals(TypeSpecValue, other.TypeSpecValue)) return false;
      if (!object.Equals(BoundedTensorSpecValue, other.BoundedTensorSpecValue)) return false;
      if (!object.Equals(ListValue, other.ListValue)) return false;
      if (!object.Equals(TupleValue, other.TupleValue)) return false;
      if (!object.Equals(DictValue, other.DictValue)) return false;
@@ -440,6 +470,7 @@ namespace Tensorflow {
      if (kindCase_ == KindOneofCase.TensorDtypeValue) hash ^= TensorDtypeValue.GetHashCode();
      if (kindCase_ == KindOneofCase.TensorSpecValue) hash ^= TensorSpecValue.GetHashCode();
      if (kindCase_ == KindOneofCase.TypeSpecValue) hash ^= TypeSpecValue.GetHashCode();
      if (kindCase_ == KindOneofCase.BoundedTensorSpecValue) hash ^= BoundedTensorSpecValue.GetHashCode();
      if (kindCase_ == KindOneofCase.ListValue) hash ^= ListValue.GetHashCode();
      if (kindCase_ == KindOneofCase.TupleValue) hash ^= TupleValue.GetHashCode();
      if (kindCase_ == KindOneofCase.DictValue) hash ^= DictValue.GetHashCode();
@@ -494,6 +525,10 @@ namespace Tensorflow {
        output.WriteRawTag(146, 2);
        output.WriteMessage(TypeSpecValue);
      }
      if (kindCase_ == KindOneofCase.BoundedTensorSpecValue) {
        output.WriteRawTag(154, 2);
        output.WriteMessage(BoundedTensorSpecValue);
      }
      if (kindCase_ == KindOneofCase.ListValue) {
        output.WriteRawTag(154, 3);
        output.WriteMessage(ListValue);
@@ -545,6 +580,9 @@ namespace Tensorflow {
      if (kindCase_ == KindOneofCase.TypeSpecValue) {
        size += 2 + pb::CodedOutputStream.ComputeMessageSize(TypeSpecValue);
      }
      if (kindCase_ == KindOneofCase.BoundedTensorSpecValue) {
        size += 2 + pb::CodedOutputStream.ComputeMessageSize(BoundedTensorSpecValue);
      }
      if (kindCase_ == KindOneofCase.ListValue) {
        size += 2 + pb::CodedOutputStream.ComputeMessageSize(ListValue);
      }
@@ -608,6 +646,12 @@ namespace Tensorflow {
          }
          TypeSpecValue.MergeFrom(other.TypeSpecValue);
          break;
        case KindOneofCase.BoundedTensorSpecValue:
          if (BoundedTensorSpecValue == null) {
            BoundedTensorSpecValue = new global::Tensorflow.BoundedTensorSpecProto();
          }
          BoundedTensorSpecValue.MergeFrom(other.BoundedTensorSpecValue);
          break;
        case KindOneofCase.ListValue:
          if (ListValue == null) {
            ListValue = new global::Tensorflow.ListValue();
@@ -702,6 +746,15 @@ namespace Tensorflow {
            TypeSpecValue = subBuilder;
            break;
          }
          case 282: {
            global::Tensorflow.BoundedTensorSpecProto subBuilder = new global::Tensorflow.BoundedTensorSpecProto();
            if (kindCase_ == KindOneofCase.BoundedTensorSpecValue) {
              subBuilder.MergeFrom(BoundedTensorSpecValue);
            }
            input.ReadMessage(subBuilder);
            BoundedTensorSpecValue = subBuilder;
            break;
          }
          case 410: {
            global::Tensorflow.ListValue subBuilder = new global::Tensorflow.ListValue();
            if (kindCase_ == KindOneofCase.ListValue) {
@@ -1540,7 +1593,7 @@ namespace Tensorflow {
  }
  /// <summary>
  /// A protobuf to tf.TensorSpec.
  /// A protobuf to represent tf.TensorSpec.
  /// </summary>
  public sealed partial class TensorSpecProto : pb::IMessage<TensorSpecProto> {
    private static readonly pb::MessageParser<TensorSpecProto> _parser = new pb::MessageParser<TensorSpecProto>(() => new TensorSpecProto());
@@ -1733,6 +1786,268 @@ namespace Tensorflow {
  }
  /// <summary>
  /// A protobuf to represent tf.BoundedTensorSpec.
  /// </summary>
  public sealed partial class BoundedTensorSpecProto : pb::IMessage<BoundedTensorSpecProto> {
    private static readonly pb::MessageParser<BoundedTensorSpecProto> _parser = new pb::MessageParser<BoundedTensorSpecProto>(() => new BoundedTensorSpecProto());
    private pb::UnknownFieldSet _unknownFields;
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public static pb::MessageParser<BoundedTensorSpecProto> Parser { get { return _parser; } }
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public static pbr::MessageDescriptor Descriptor {
      get { return global::Tensorflow.StructReflection.Descriptor.MessageTypes[8]; }
    }
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    pbr::MessageDescriptor pb::IMessage.Descriptor {
      get { return Descriptor; }
    }
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public BoundedTensorSpecProto() {
      OnConstruction();
    }
    partial void OnConstruction();
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public BoundedTensorSpecProto(BoundedTensorSpecProto other) : this() {
      name_ = other.name_;
      shape_ = other.shape_ != null ? other.shape_.Clone() : null;
      dtype_ = other.dtype_;
      minimum_ = other.minimum_ != null ? other.minimum_.Clone() : null;
      maximum_ = other.maximum_ != null ? other.maximum_.Clone() : null;
      _unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
    }
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public BoundedTensorSpecProto Clone() {
      return new BoundedTensorSpecProto(this);
    }
    /// <summary>Field number for the "name" field.</summary>
    public const int NameFieldNumber = 1;
    private string name_ = "";
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public string Name {
      get { return name_; }
      set {
        name_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
      }
    }
    /// <summary>Field number for the "shape" field.</summary>
    public const int ShapeFieldNumber = 2;
    private global::Tensorflow.TensorShapeProto shape_;
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public global::Tensorflow.TensorShapeProto Shape {
      get { return shape_; }
      set {
        shape_ = value;
      }
    }
    /// <summary>Field number for the "dtype" field.</summary>
    public const int DtypeFieldNumber = 3;
    private global::Tensorflow.DataType dtype_ = global::Tensorflow.DataType.DtInvalid;
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public global::Tensorflow.DataType Dtype {
      get { return dtype_; }
      set {
        dtype_ = value;
      }
    }
    /// <summary>Field number for the "minimum" field.</summary>
    public const int MinimumFieldNumber = 4;
    private global::Tensorflow.TensorProto minimum_;
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public global::Tensorflow.TensorProto Minimum {
      get { return minimum_; }
      set {
        minimum_ = value;
      }
    }
    /// <summary>Field number for the "maximum" field.</summary>
    public const int MaximumFieldNumber = 5;
    private global::Tensorflow.TensorProto maximum_;
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public global::Tensorflow.TensorProto Maximum {
      get { return maximum_; }
      set {
        maximum_ = value;
      }
    }
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public override bool Equals(object other) {
      return Equals(other as BoundedTensorSpecProto);
    }
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public bool Equals(BoundedTensorSpecProto other) {
      if (ReferenceEquals(other, null)) {
        return false;
      }
      if (ReferenceEquals(other, this)) {
        return true;
      }
      if (Name != other.Name) return false;
      if (!object.Equals(Shape, other.Shape)) return false;
      if (Dtype != other.Dtype) return false;
      if (!object.Equals(Minimum, other.Minimum)) return false;
      if (!object.Equals(Maximum, other.Maximum)) return false;
      return Equals(_unknownFields, other._unknownFields);
    }
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public override int GetHashCode() {
      int hash = 1;
      if (Name.Length != 0) hash ^= Name.GetHashCode();
      if (shape_ != null) hash ^= Shape.GetHashCode();
      if (Dtype != global::Tensorflow.DataType.DtInvalid) hash ^= Dtype.GetHashCode();
      if (minimum_ != null) hash ^= Minimum.GetHashCode();
      if (maximum_ != null) hash ^= Maximum.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 (Name.Length != 0) {
        output.WriteRawTag(10);
        output.WriteString(Name);
      }
      if (shape_ != null) {
        output.WriteRawTag(18);
        output.WriteMessage(Shape);
      }
      if (Dtype != global::Tensorflow.DataType.DtInvalid) {
        output.WriteRawTag(24);
        output.WriteEnum((int) Dtype);
      }
      if (minimum_ != null) {
        output.WriteRawTag(34);
        output.WriteMessage(Minimum);
      }
      if (maximum_ != null) {
        output.WriteRawTag(42);
        output.WriteMessage(Maximum);
      }
      if (_unknownFields != null) {
        _unknownFields.WriteTo(output);
      }
    }
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public int CalculateSize() {
      int size = 0;
      if (Name.Length != 0) {
        size += 1 + pb::CodedOutputStream.ComputeStringSize(Name);
      }
      if (shape_ != null) {
        size += 1 + pb::CodedOutputStream.ComputeMessageSize(Shape);
      }
      if (Dtype != global::Tensorflow.DataType.DtInvalid) {
        size += 1 + pb::CodedOutputStream.ComputeEnumSize((int) Dtype);
      }
      if (minimum_ != null) {
        size += 1 + pb::CodedOutputStream.ComputeMessageSize(Minimum);
      }
      if (maximum_ != null) {
        size += 1 + pb::CodedOutputStream.ComputeMessageSize(Maximum);
      }
      if (_unknownFields != null) {
        size += _unknownFields.CalculateSize();
      }
      return size;
    }
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public void MergeFrom(BoundedTensorSpecProto other) {
      if (other == null) {
        return;
      }
      if (other.Name.Length != 0) {
        Name = other.Name;
      }
      if (other.shape_ != null) {
        if (shape_ == null) {
          Shape = new global::Tensorflow.TensorShapeProto();
        }
        Shape.MergeFrom(other.Shape);
      }
      if (other.Dtype != global::Tensorflow.DataType.DtInvalid) {
        Dtype = other.Dtype;
      }
      if (other.minimum_ != null) {
        if (minimum_ == null) {
          Minimum = new global::Tensorflow.TensorProto();
        }
        Minimum.MergeFrom(other.Minimum);
      }
      if (other.maximum_ != null) {
        if (maximum_ == null) {
          Maximum = new global::Tensorflow.TensorProto();
        }
        Maximum.MergeFrom(other.Maximum);
      }
      _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: {
            Name = input.ReadString();
            break;
          }
          case 18: {
            if (shape_ == null) {
              Shape = new global::Tensorflow.TensorShapeProto();
            }
            input.ReadMessage(Shape);
            break;
          }
          case 24: {
            Dtype = (global::Tensorflow.DataType) input.ReadEnum();
            break;
          }
          case 34: {
            if (minimum_ == null) {
              Minimum = new global::Tensorflow.TensorProto();
            }
            input.ReadMessage(Minimum);
            break;
          }
          case 42: {
            if (maximum_ == null) {
              Maximum = new global::Tensorflow.TensorProto();
            }
            input.ReadMessage(Maximum);
            break;
          }
        }
      }
    }
  }
  /// <summary>
  /// Represents a tf.TypeSpec
  /// </summary>
@@ -1744,7 +2059,7 @@ namespace Tensorflow {
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public static pbr::MessageDescriptor Descriptor {
      get { return global::Tensorflow.StructReflection.Descriptor.MessageTypes[8]; }
      get { return global::Tensorflow.StructReflection.Descriptor.MessageTypes[9]; }
    }
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
@@ -1976,6 +2291,10 @@ namespace Tensorflow {
        /// tf.VariableSpec
        /// </summary>
        [pbr::OriginalName("VARIABLE_SPEC")] VariableSpec = 9,
        /// <summary>
        /// RowPartitionSpec from ragged/row_partition.py
        /// </summary>
        [pbr::OriginalName("ROW_PARTITION_SPEC")] RowPartitionSpec = 10,
      }
    }
--- a/src/TensorFlowNET.Core/Protobuf/Summary.cs
+++ b/src/TensorFlowNET.Core/Protobuf/Summary.cs
@@ -30,33 +30,37 @@ namespace Tensorflow {
            "hwEKDkhpc3RvZ3JhbVByb3RvEgsKA21pbhgBIAEoARILCgNtYXgYAiABKAES",
            "CwoDbnVtGAMgASgBEgsKA3N1bRgEIAEoARITCgtzdW1fc3F1YXJlcxgFIAEo",
            "ARIYCgxidWNrZXRfbGltaXQYBiADKAFCAhABEhIKBmJ1Y2tldBgHIAMoAUIC",
            "EAEitQEKD1N1bW1hcnlNZXRhZGF0YRI7CgtwbHVnaW5fZGF0YRgBIAEoCzIm",
            "EAEi4AEKD1N1bW1hcnlNZXRhZGF0YRI7CgtwbHVnaW5fZGF0YRgBIAEoCzIm",
            "LnRlbnNvcmZsb3cuU3VtbWFyeU1ldGFkYXRhLlBsdWdpbkRhdGESFAoMZGlz",
            "cGxheV9uYW1lGAIgASgJEhsKE3N1bW1hcnlfZGVzY3JpcHRpb24YAyABKAka",
            "MgoKUGx1Z2luRGF0YRITCgtwbHVnaW5fbmFtZRgBIAEoCRIPCgdjb250ZW50",
            "GAIgASgMIt4ECgdTdW1tYXJ5EigKBXZhbHVlGAEgAygLMhkudGVuc29yZmxv",
            "dy5TdW1tYXJ5LlZhbHVlGlgKBUltYWdlEg4KBmhlaWdodBgBIAEoBRINCgV3",
            "aWR0aBgCIAEoBRISCgpjb2xvcnNwYWNlGAMgASgFEhwKFGVuY29kZWRfaW1h",
            "Z2Vfc3RyaW5nGAQgASgMGn0KBUF1ZGlvEhMKC3NhbXBsZV9yYXRlGAEgASgC",
            "EhQKDG51bV9jaGFubmVscxgCIAEoAxIVCg1sZW5ndGhfZnJhbWVzGAMgASgD",
            "EhwKFGVuY29kZWRfYXVkaW9fc3RyaW5nGAQgASgMEhQKDGNvbnRlbnRfdHlw",
            "ZRgFIAEoCRrPAgoFVmFsdWUSEQoJbm9kZV9uYW1lGAcgASgJEgsKA3RhZxgB",
            "IAEoCRItCghtZXRhZGF0YRgJIAEoCzIbLnRlbnNvcmZsb3cuU3VtbWFyeU1l",
            "dGFkYXRhEhYKDHNpbXBsZV92YWx1ZRgCIAEoAkgAEiYKHG9ic29sZXRlX29s",
            "ZF9zdHlsZV9oaXN0b2dyYW0YAyABKAxIABIqCgVpbWFnZRgEIAEoCzIZLnRl",
            "bnNvcmZsb3cuU3VtbWFyeS5JbWFnZUgAEisKBWhpc3RvGAUgASgLMhoudGVu",
            "c29yZmxvdy5IaXN0b2dyYW1Qcm90b0gAEioKBWF1ZGlvGAYgASgLMhkudGVu",
            "c29yZmxvdy5TdW1tYXJ5LkF1ZGlvSAASKQoGdGVuc29yGAggASgLMhcudGVu",
            "c29yZmxvdy5UZW5zb3JQcm90b0gAQgcKBXZhbHVlQm0KGG9yZy50ZW5zb3Jm",
            "bG93LmZyYW1ld29ya0INU3VtbWFyeVByb3Rvc1ABWj1naXRodWIuY29tL3Rl",
            "bnNvcmZsb3cvdGVuc29yZmxvdy90ZW5zb3JmbG93L2dvL2NvcmUvZnJhbWV3",
            "b3Jr+AEBYgZwcm90bzM="));
            "cGxheV9uYW1lGAIgASgJEhsKE3N1bW1hcnlfZGVzY3JpcHRpb24YAyABKAkS",
            "KQoKZGF0YV9jbGFzcxgEIAEoDjIVLnRlbnNvcmZsb3cuRGF0YUNsYXNzGjIK",
            "ClBsdWdpbkRhdGESEwoLcGx1Z2luX25hbWUYASABKAkSDwoHY29udGVudBgC",
            "IAEoDCLeBAoHU3VtbWFyeRIoCgV2YWx1ZRgBIAMoCzIZLnRlbnNvcmZsb3cu",
            "U3VtbWFyeS5WYWx1ZRpYCgVJbWFnZRIOCgZoZWlnaHQYASABKAUSDQoFd2lk",
            "dGgYAiABKAUSEgoKY29sb3JzcGFjZRgDIAEoBRIcChRlbmNvZGVkX2ltYWdl",
            "X3N0cmluZxgEIAEoDBp9CgVBdWRpbxITCgtzYW1wbGVfcmF0ZRgBIAEoAhIU",
            "CgxudW1fY2hhbm5lbHMYAiABKAMSFQoNbGVuZ3RoX2ZyYW1lcxgDIAEoAxIc",
            "ChRlbmNvZGVkX2F1ZGlvX3N0cmluZxgEIAEoDBIUCgxjb250ZW50X3R5cGUY",
            "BSABKAkazwIKBVZhbHVlEhEKCW5vZGVfbmFtZRgHIAEoCRILCgN0YWcYASAB",
            "KAkSLQoIbWV0YWRhdGEYCSABKAsyGy50ZW5zb3JmbG93LlN1bW1hcnlNZXRh",
            "ZGF0YRIWCgxzaW1wbGVfdmFsdWUYAiABKAJIABImChxvYnNvbGV0ZV9vbGRf",
            "c3R5bGVfaGlzdG9ncmFtGAMgASgMSAASKgoFaW1hZ2UYBCABKAsyGS50ZW5z",
            "b3JmbG93LlN1bW1hcnkuSW1hZ2VIABIrCgVoaXN0bxgFIAEoCzIaLnRlbnNv",
            "cmZsb3cuSGlzdG9ncmFtUHJvdG9IABIqCgVhdWRpbxgGIAEoCzIZLnRlbnNv",
            "cmZsb3cuU3VtbWFyeS5BdWRpb0gAEikKBnRlbnNvchgIIAEoCzIXLnRlbnNv",
            "cmZsb3cuVGVuc29yUHJvdG9IAEIHCgV2YWx1ZSpvCglEYXRhQ2xhc3MSFgoS",
            "REFUQV9DTEFTU19VTktOT1dOEAASFQoRREFUQV9DTEFTU19TQ0FMQVIQARIV",
            "ChFEQVRBX0NMQVNTX1RFTlNPUhACEhwKGERBVEFfQ0xBU1NfQkxPQl9TRVFV",
            "RU5DRRADQn4KGG9yZy50ZW5zb3JmbG93LmZyYW1ld29ya0INU3VtbWFyeVBy",
            "b3Rvc1ABWk5naXRodWIuY29tL3RlbnNvcmZsb3cvdGVuc29yZmxvdy90ZW5z",
            "b3JmbG93L2dvL2NvcmUvZnJhbWV3b3JrL3N1bW1hcnlfZ29fcHJvdG/4AQFi",
            "BnByb3RvMw=="));
      descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
          new pbr::FileDescriptor[] { global::Tensorflow.TensorReflection.Descriptor, },
          new pbr::GeneratedClrTypeInfo(null, null, new pbr::GeneratedClrTypeInfo[] {
          new pbr::GeneratedClrTypeInfo(new[] {typeof(global::Tensorflow.DataClass), }, null, new pbr::GeneratedClrTypeInfo[] {
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.SummaryDescription), global::Tensorflow.SummaryDescription.Parser, new[]{ "TypeHint" }, null, null, null, null),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.HistogramProto), global::Tensorflow.HistogramProto.Parser, new[]{ "Min", "Max", "Num", "Sum", "SumSquares", "BucketLimit", "Bucket" }, null, null, null, null),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.SummaryMetadata), global::Tensorflow.SummaryMetadata.Parser, new[]{ "PluginData", "DisplayName", "SummaryDescription" }, null, null, null, new pbr::GeneratedClrTypeInfo[] { new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.SummaryMetadata.Types.PluginData), global::Tensorflow.SummaryMetadata.Types.PluginData.Parser, new[]{ "PluginName", "Content" }, null, null, null, null)}),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.SummaryMetadata), global::Tensorflow.SummaryMetadata.Parser, new[]{ "PluginData", "DisplayName", "SummaryDescription", "DataClass" }, null, null, null, new pbr::GeneratedClrTypeInfo[] { new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.SummaryMetadata.Types.PluginData), global::Tensorflow.SummaryMetadata.Types.PluginData.Parser, new[]{ "PluginName", "Content" }, null, null, null, null)}),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.Summary), global::Tensorflow.Summary.Parser, new[]{ "Value" }, null, null, null, new pbr::GeneratedClrTypeInfo[] { new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.Summary.Types.Image), global::Tensorflow.Summary.Types.Image.Parser, new[]{ "Height", "Width", "Colorspace", "EncodedImageString" }, null, null, null, null),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.Summary.Types.Audio), global::Tensorflow.Summary.Types.Audio.Parser, new[]{ "SampleRate", "NumChannels", "LengthFrames", "EncodedAudioString", "ContentType" }, null, null, null, null),
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.Summary.Types.Value), global::Tensorflow.Summary.Types.Value.Parser, new[]{ "NodeName", "Tag", "Metadata", "SimpleValue", "ObsoleteOldStyleHistogram", "Image", "Histo", "Audio", "Tensor" }, new[]{ "Value" }, null, null, null)})
@@ -65,6 +69,35 @@ namespace Tensorflow {
    #endregion
  }
  #region Enums
  public enum DataClass {
    /// <summary>
    /// Unknown data class, used (implicitly) for legacy data. Will not be
    /// processed by data ingestion pipelines.
    /// </summary>
    [pbr::OriginalName("DATA_CLASS_UNKNOWN")] Unknown = 0,
    /// <summary>
    /// Scalar time series. Each `Value` for the corresponding tag must have
    /// `tensor` set to a rank-0 tensor of floating-point dtype, which will be
    /// converted to float64.
    /// </summary>
    [pbr::OriginalName("DATA_CLASS_SCALAR")] Scalar = 1,
    /// <summary>
    /// Tensor time series. Each `Value` for the corresponding tag must have
    /// `tensor` set. The tensor value is arbitrary, but should be small to
    /// accommodate direct storage in database backends: an upper bound of a few
    /// kilobytes is a reasonable rule of thumb.
    /// </summary>
    [pbr::OriginalName("DATA_CLASS_TENSOR")] Tensor = 2,
    /// <summary>
    /// Blob sequence time series. Each `Value` for the corresponding tag must
    /// have `tensor` set to a rank-1 tensor of bytestring dtype.
    /// </summary>
    [pbr::OriginalName("DATA_CLASS_BLOB_SEQUENCE")] BlobSequence = 3,
  }
  #endregion
  #region Messages
  /// <summary>
  /// Metadata associated with a series of Summary data
@@ -528,6 +561,7 @@ namespace Tensorflow {
      pluginData_ = other.pluginData_ != null ? other.pluginData_.Clone() : null;
      displayName_ = other.displayName_;
      summaryDescription_ = other.summaryDescription_;
      dataClass_ = other.dataClass_;
      _unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
    }
@@ -578,6 +612,23 @@ namespace Tensorflow {
      }
    }
    /// <summary>Field number for the "data_class" field.</summary>
    public const int DataClassFieldNumber = 4;
    private global::Tensorflow.DataClass dataClass_ = global::Tensorflow.DataClass.Unknown;
    /// <summary>
    /// Class of data stored in this time series. Required for compatibility with
    /// TensorBoard's generic data facilities (`DataProvider`, et al.). This value
    /// imposes constraints on the dtype and shape of the corresponding tensor
    /// values. See `DataClass` docs for details.
    /// </summary>
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public global::Tensorflow.DataClass DataClass {
      get { return dataClass_; }
      set {
        dataClass_ = value;
      }
    }
    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
    public override bool Equals(object other) {
      return Equals(other as SummaryMetadata);
@@ -594,6 +645,7 @@ namespace Tensorflow {
      if (!object.Equals(PluginData, other.PluginData)) return false;
      if (DisplayName != other.DisplayName) return false;
      if (SummaryDescription != other.SummaryDescription) return false;
      if (DataClass != other.DataClass) return false;
      return Equals(_unknownFields, other._unknownFields);
    }
@@ -603,6 +655,7 @@ namespace Tensorflow {
      if (pluginData_ != null) hash ^= PluginData.GetHashCode();
      if (DisplayName.Length != 0) hash ^= DisplayName.GetHashCode();
      if (SummaryDescription.Length != 0) hash ^= SummaryDescription.GetHashCode();
      if (DataClass != global::Tensorflow.DataClass.Unknown) hash ^= DataClass.GetHashCode();
      if (_unknownFields != null) {
        hash ^= _unknownFields.GetHashCode();
      }
@@ -628,6 +681,10 @@ namespace Tensorflow {
        output.WriteRawTag(26);
        output.WriteString(SummaryDescription);
      }
      if (DataClass != global::Tensorflow.DataClass.Unknown) {
        output.WriteRawTag(32);
        output.WriteEnum((int) DataClass);
      }
      if (_unknownFields != null) {
        _unknownFields.WriteTo(output);
      }
@@ -645,6 +702,9 @@ namespace Tensorflow {
      if (SummaryDescription.Length != 0) {
        size += 1 + pb::CodedOutputStream.ComputeStringSize(SummaryDescription);
      }
      if (DataClass != global::Tensorflow.DataClass.Unknown) {
        size += 1 + pb::CodedOutputStream.ComputeEnumSize((int) DataClass);
      }
      if (_unknownFields != null) {
        size += _unknownFields.CalculateSize();
      }
@@ -668,6 +728,9 @@ namespace Tensorflow {
      if (other.SummaryDescription.Length != 0) {
        SummaryDescription = other.SummaryDescription;
      }
      if (other.DataClass != global::Tensorflow.DataClass.Unknown) {
        DataClass = other.DataClass;
      }
      _unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
    }
@@ -694,6 +757,10 @@ namespace Tensorflow {
            SummaryDescription = input.ReadString();
            break;
          }
          case 32: {
            DataClass = (global::Tensorflow.DataClass) input.ReadEnum();
            break;
          }
        }
      }
    }
--- a/src/TensorFlowNET.Core/Protobuf/Tensor.cs
+++ b/src/TensorFlowNET.Core/Protobuf/Tensor.cs
@@ -42,9 +42,10 @@ namespace Tensorflow {
            "X3ZhbBgQIAMoDUICEAESFgoKdWludDY0X3ZhbBgRIAMoBEICEAEiZwoWVmFy",
            "aWFudFRlbnNvckRhdGFQcm90bxIRCgl0eXBlX25hbWUYASABKAkSEAoIbWV0",
            "YWRhdGEYAiABKAwSKAoHdGVuc29ycxgDIAMoCzIXLnRlbnNvcmZsb3cuVGVu",
            "c29yUHJvdG9CbAoYb3JnLnRlbnNvcmZsb3cuZnJhbWV3b3JrQgxUZW5zb3JQ",
            "cm90b3NQAVo9Z2l0aHViLmNvbS90ZW5zb3JmbG93L3RlbnNvcmZsb3cvdGVu",
            "c29yZmxvdy9nby9jb3JlL2ZyYW1ld29ya/gBAWIGcHJvdG8z"));
            "c29yUHJvdG9CfAoYb3JnLnRlbnNvcmZsb3cuZnJhbWV3b3JrQgxUZW5zb3JQ",
            "cm90b3NQAVpNZ2l0aHViLmNvbS90ZW5zb3JmbG93L3RlbnNvcmZsb3cvdGVu",
            "c29yZmxvdy9nby9jb3JlL2ZyYW1ld29yay90ZW5zb3JfZ29fcHJvdG/4AQFi",
            "BnByb3RvMw=="));
      descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
          new pbr::FileDescriptor[] { global::Tensorflow.ResourceHandleReflection.Descriptor, global::Tensorflow.TensorShapeReflection.Descriptor, global::Tensorflow.TypesReflection.Descriptor, },
          new pbr::GeneratedClrTypeInfo(null, null, new pbr::GeneratedClrTypeInfo[] {
--- a/src/TensorFlowNET.Core/Protobuf/TensorDescription.cs
+++ b/src/TensorFlowNET.Core/Protobuf/TensorDescription.cs
@@ -25,19 +25,19 @@ namespace Tensorflow {
      byte[] descriptorData = global::System.Convert.FromBase64String(
          string.Concat(
            "CjJ0ZW5zb3JmbG93L2NvcmUvZnJhbWV3b3JrL3RlbnNvcl9kZXNjcmlwdGlv",
            "bi5wcm90bxIKdGVuc29yZmxvdxoldGVuc29yZmxvdy9jb3JlL2ZyYW1ld29y",
            "ay90eXBlcy5wcm90bxosdGVuc29yZmxvdy9jb3JlL2ZyYW1ld29yay90ZW5z",
            "b3Jfc2hhcGUucHJvdG8aNnRlbnNvcmZsb3cvY29yZS9mcmFtZXdvcmsvYWxs",
            "b2NhdGlvbl9kZXNjcmlwdGlvbi5wcm90byKoAQoRVGVuc29yRGVzY3JpcHRp",
            "bi5wcm90bxIKdGVuc29yZmxvdxo2dGVuc29yZmxvdy9jb3JlL2ZyYW1ld29y",
            "ay9hbGxvY2F0aW9uX2Rlc2NyaXB0aW9uLnByb3RvGix0ZW5zb3JmbG93L2Nv",
            "cmUvZnJhbWV3b3JrL3RlbnNvcl9zaGFwZS5wcm90bxoldGVuc29yZmxvdy9j",
            "b3JlL2ZyYW1ld29yay90eXBlcy5wcm90byKoAQoRVGVuc29yRGVzY3JpcHRp",
            "b24SIwoFZHR5cGUYASABKA4yFC50ZW5zb3JmbG93LkRhdGFUeXBlEisKBXNo",
            "YXBlGAIgASgLMhwudGVuc29yZmxvdy5UZW5zb3JTaGFwZVByb3RvEkEKFmFs",
            "bG9jYXRpb25fZGVzY3JpcHRpb24YBCABKAsyIS50ZW5zb3JmbG93LkFsbG9j",
            "YXRpb25EZXNjcmlwdGlvbkJ3ChhvcmcudGVuc29yZmxvdy5mcmFtZXdvcmtC",
            "F1RlbnNvckRlc2NyaXB0aW9uUHJvdG9zUAFaPWdpdGh1Yi5jb20vdGVuc29y",
            "Zmxvdy90ZW5zb3JmbG93L3RlbnNvcmZsb3cvZ28vY29yZS9mcmFtZXdvcmv4",
            "AQFiBnByb3RvMw=="));
            "YXRpb25EZXNjcmlwdGlvbkKTAQoYb3JnLnRlbnNvcmZsb3cuZnJhbWV3b3Jr",
            "QhdUZW5zb3JEZXNjcmlwdGlvblByb3Rvc1ABWllnaXRodWIuY29tL3RlbnNv",
            "cmZsb3cvdGVuc29yZmxvdy90ZW5zb3JmbG93L2dvL2NvcmUvZnJhbWV3b3Jr",
            "L3RlbnNvcl9kZXNjcmlwdGlvbl9nb19wcm90b/gBAWIGcHJvdG8z"));
      descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
          new pbr::FileDescriptor[] { global::Tensorflow.TypesReflection.Descriptor, global::Tensorflow.TensorShapeReflection.Descriptor, global::Tensorflow.AllocationDescriptionReflection.Descriptor, },
          new pbr::FileDescriptor[] { global::Tensorflow.AllocationDescriptionReflection.Descriptor, global::Tensorflow.TensorShapeReflection.Descriptor, global::Tensorflow.TypesReflection.Descriptor, },
          new pbr::GeneratedClrTypeInfo(null, null, new pbr::GeneratedClrTypeInfo[] {
            new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.TensorDescription), global::Tensorflow.TensorDescription.Parser, new[]{ "Dtype", "Shape", "AllocationDescription" }, null, null, null, null)
          }));
--- a/src/TensorFlowNET.Core/Protobuf/TensorShape.cs
+++ b/src/TensorFlowNET.Core/Protobuf/TensorShape.cs
@@ -28,9 +28,10 @@ namespace Tensorflow {
            "bxIKdGVuc29yZmxvdyJ6ChBUZW5zb3JTaGFwZVByb3RvEi0KA2RpbRgCIAMo",
            "CzIgLnRlbnNvcmZsb3cuVGVuc29yU2hhcGVQcm90by5EaW0SFAoMdW5rbm93",
            "bl9yYW5rGAMgASgIGiEKA0RpbRIMCgRzaXplGAEgASgDEgwKBG5hbWUYAiAB",
            "KAlCcQoYb3JnLnRlbnNvcmZsb3cuZnJhbWV3b3JrQhFUZW5zb3JTaGFwZVBy",
            "b3Rvc1ABWj1naXRodWIuY29tL3RlbnNvcmZsb3cvdGVuc29yZmxvdy90ZW5z",
            "b3JmbG93L2dvL2NvcmUvZnJhbWV3b3Jr+AEBYgZwcm90bzM="));
            "KAlChwEKGG9yZy50ZW5zb3JmbG93LmZyYW1ld29ya0IRVGVuc29yU2hhcGVQ",
            "cm90b3NQAVpTZ2l0aHViLmNvbS90ZW5zb3JmbG93L3RlbnNvcmZsb3cvdGVu",
            "c29yZmxvdy9nby9jb3JlL2ZyYW1ld29yay90ZW5zb3Jfc2hhcGVfZ29fcHJv",
            "dG/4AQFiBnByb3RvMw=="));
      descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
          new pbr::FileDescriptor[] { },
          new pbr::GeneratedClrTypeInfo(null, null, new pbr::GeneratedClrTypeInfo[] {
--- a/src/TensorFlowNET.Core/Protobuf/TensorSlice.cs
+++ b/src/TensorFlowNET.Core/Protobuf/TensorSlice.cs
@@ -28,9 +28,10 @@ namespace Tensorflow {
            "bxIKdGVuc29yZmxvdyKAAQoQVGVuc29yU2xpY2VQcm90bxIzCgZleHRlbnQY",
            "ASADKAsyIy50ZW5zb3JmbG93LlRlbnNvclNsaWNlUHJvdG8uRXh0ZW50GjcK",
            "BkV4dGVudBINCgVzdGFydBgBIAEoAxIQCgZsZW5ndGgYAiABKANIAEIMCgpo",
            "YXNfbGVuZ3RoQnEKGG9yZy50ZW5zb3JmbG93LmZyYW1ld29ya0IRVGVuc29y",
            "U2xpY2VQcm90b3NQAVo9Z2l0aHViLmNvbS90ZW5zb3JmbG93L3RlbnNvcmZs",
            "b3cvdGVuc29yZmxvdy9nby9jb3JlL2ZyYW1ld29ya/gBAWIGcHJvdG8z"));
            "YXNfbGVuZ3RoQocBChhvcmcudGVuc29yZmxvdy5mcmFtZXdvcmtCEVRlbnNv",
            "clNsaWNlUHJvdG9zUAFaU2dpdGh1Yi5jb20vdGVuc29yZmxvdy90ZW5zb3Jm",
            "bG93L3RlbnNvcmZsb3cvZ28vY29yZS9mcmFtZXdvcmsvdGVuc29yX3NsaWNl",
            "X2dvX3Byb3Rv+AEBYgZwcm90bzM="));
      descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
          new pbr::FileDescriptor[] { },
          new pbr::GeneratedClrTypeInfo(null, null, new pbr::GeneratedClrTypeInfo[] {
--- a/src/TensorFlowNET.Core/Protobuf/TrackableObjectGraph.cs
+++ b/src/TensorFlowNET.Core/Protobuf/TrackableObjectGraph.cs
@@ -39,8 +39,9 @@ namespace Tensorflow {
            "bGxfbmFtZRgCIAEoCRIWCg5jaGVja3BvaW50X2tleRgDIAEoCRIYChBvcHRp",
            "b25hbF9yZXN0b3JlGAQgASgIGmwKFVNsb3RWYXJpYWJsZVJlZmVyZW5jZRIh",
            "ChlvcmlnaW5hbF92YXJpYWJsZV9ub2RlX2lkGAEgASgFEhEKCXNsb3RfbmFt",
            "ZRgCIAEoCRIdChVzbG90X3ZhcmlhYmxlX25vZGVfaWQYAyABKAVCA/gBAWIG",
            "cHJvdG8z"));
            "ZRgCIAEoCRIdChVzbG90X3ZhcmlhYmxlX25vZGVfaWQYAyABKAVCTVpIZ2l0",
            "aHViLmNvbS90ZW5zb3JmbG93L3RlbnNvcmZsb3cvdGVuc29yZmxvdy9nby9j",
            "b3JlL2NvcmVfcHJvdG9zX2dvX3Byb3Rv+AEBYgZwcm90bzM="));
      descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
          new pbr::FileDescriptor[] { },
          new pbr::GeneratedClrTypeInfo(null, null, new pbr::GeneratedClrTypeInfo[] {
--- a/src/TensorFlowNET.Core/Protobuf/Types.cs
+++ b/src/TensorFlowNET.Core/Protobuf/Types.cs
@@ -43,9 +43,10 @@ namespace Tensorflow {
            "X1JFRhB0EhEKDURUX1VJTlQxNl9SRUYQdRIVChFEVF9DT01QTEVYMTI4X1JF",
            "RhB2Eg8KC0RUX0hBTEZfUkVGEHcSEwoPRFRfUkVTT1VSQ0VfUkVGEHgSEgoO",
            "RFRfVkFSSUFOVF9SRUYQeRIRCg1EVF9VSU5UMzJfUkVGEHoSEQoNRFRfVUlO",
            "VDY0X1JFRhB7QmsKGG9yZy50ZW5zb3JmbG93LmZyYW1ld29ya0ILVHlwZXNQ",
            "cm90b3NQAVo9Z2l0aHViLmNvbS90ZW5zb3JmbG93L3RlbnNvcmZsb3cvdGVu",
            "c29yZmxvdy9nby9jb3JlL2ZyYW1ld29ya/gBAWIGcHJvdG8z"));
            "VDY0X1JFRhB7QnoKGG9yZy50ZW5zb3JmbG93LmZyYW1ld29ya0ILVHlwZXNQ",
            "cm90b3NQAVpMZ2l0aHViLmNvbS90ZW5zb3JmbG93L3RlbnNvcmZsb3cvdGVu",
            "c29yZmxvdy9nby9jb3JlL2ZyYW1ld29yay90eXBlc19nb19wcm90b/gBAWIG",
            "cHJvdG8z"));
      descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
          new pbr::FileDescriptor[] { },
          new pbr::GeneratedClrTypeInfo(new[] {typeof(global::Tensorflow.DataType), }, null, null));
--- a/src/TensorFlowNET.Core/Protobuf/Variable.cs
+++ b/src/TensorFlowNET.Core/Protobuf/Variable.cs
@@ -42,9 +42,10 @@ namespace Tensorflow {
            "ZWdhdGlvbhIdChlWQVJJQUJMRV9BR0dSRUdBVElPTl9OT05FEAASHAoYVkFS",
            "SUFCTEVfQUdHUkVHQVRJT05fU1VNEAESHQoZVkFSSUFCTEVfQUdHUkVHQVRJ",
            "T05fTUVBThACEisKJ1ZBUklBQkxFX0FHR1JFR0FUSU9OX09OTFlfRklSU1Rf",
            "UkVQTElDQRADQm4KGG9yZy50ZW5zb3JmbG93LmZyYW1ld29ya0IOVmFyaWFi",
            "bGVQcm90b3NQAVo9Z2l0aHViLmNvbS90ZW5zb3JmbG93L3RlbnNvcmZsb3cv",
            "dGVuc29yZmxvdy9nby9jb3JlL2ZyYW1ld29ya/gBAWIGcHJvdG8z"));
            "UkVQTElDQRADQoABChhvcmcudGVuc29yZmxvdy5mcmFtZXdvcmtCDlZhcmlh",
            "YmxlUHJvdG9zUAFaT2dpdGh1Yi5jb20vdGVuc29yZmxvdy90ZW5zb3JmbG93",
            "L3RlbnNvcmZsb3cvZ28vY29yZS9mcmFtZXdvcmsvdmFyaWFibGVfZ29fcHJv",
            "dG/4AQFiBnByb3RvMw=="));
      descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
          new pbr::FileDescriptor[] { },
          new pbr::GeneratedClrTypeInfo(new[] {typeof(global::Tensorflow.VariableSynchronization), typeof(global::Tensorflow.VariableAggregation), }, null, new pbr::GeneratedClrTypeInfo[] {
--- a/src/TensorFlowNET.Core/Protobuf/VerifierConfig.cs
+++ b/src/TensorFlowNET.Core/Protobuf/VerifierConfig.cs
@@ -28,10 +28,10 @@ namespace Tensorflow {
            "b3RvEgp0ZW5zb3JmbG93IpsBCg5WZXJpZmllckNvbmZpZxIiChp2ZXJpZmlj",
            "YXRpb25fdGltZW91dF9pbl9tcxgBIAEoAxI9ChJzdHJ1Y3R1cmVfdmVyaWZp",
            "ZXIYAiABKA4yIS50ZW5zb3JmbG93LlZlcmlmaWVyQ29uZmlnLlRvZ2dsZSIm",
            "CgZUb2dnbGUSCwoHREVGQVVMVBAAEgYKAk9OEAESBwoDT0ZGEAJCcwoYb3Jn",
            "CgZUb2dnbGUSCwoHREVGQVVMVBAAEgYKAk9OEAESBwoDT0ZGEAJCfwoYb3Jn",
            "LnRlbnNvcmZsb3cuZnJhbWV3b3JrQhRWZXJpZmllckNvbmZpZ1Byb3Rvc1AB",
            "WjxnaXRodWIuY29tL3RlbnNvcmZsb3cvdGVuc29yZmxvdy90ZW5zb3JmbG93",
            "L2dvL2NvcmUvcHJvdG9idWb4AQFiBnByb3RvMw=="));
            "WkhnaXRodWIuY29tL3RlbnNvcmZsb3cvdGVuc29yZmxvdy90ZW5zb3JmbG93",
            "L2dvL2NvcmUvY29yZV9wcm90b3NfZ29fcHJvdG/4AQFiBnByb3RvMw=="));
      descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
          new pbr::FileDescriptor[] { },
          new pbr::GeneratedClrTypeInfo(null, null, new pbr::GeneratedClrTypeInfo[] {
--- a/src/TensorFlowNET.Core/Protobuf/Versions.cs
+++ b/src/TensorFlowNET.Core/Protobuf/Versions.cs
@@ -26,10 +26,10 @@ namespace Tensorflow {
          string.Concat(
            "Cih0ZW5zb3JmbG93L2NvcmUvZnJhbWV3b3JrL3ZlcnNpb25zLnByb3RvEgp0",
            "ZW5zb3JmbG93IksKClZlcnNpb25EZWYSEAoIcHJvZHVjZXIYASABKAUSFAoM",
            "bWluX2NvbnN1bWVyGAIgASgFEhUKDWJhZF9jb25zdW1lcnMYAyADKAVCbgoY",
            "b3JnLnRlbnNvcmZsb3cuZnJhbWV3b3JrQg5WZXJzaW9uc1Byb3Rvc1ABWj1n",
            "aXRodWIuY29tL3RlbnNvcmZsb3cvdGVuc29yZmxvdy90ZW5zb3JmbG93L2dv",
            "L2NvcmUvZnJhbWV3b3Jr+AEBYgZwcm90bzM="));
            "bWluX2NvbnN1bWVyGAIgASgFEhUKDWJhZF9jb25zdW1lcnMYAyADKAVCgAEK",
            "GG9yZy50ZW5zb3JmbG93LmZyYW1ld29ya0IOVmVyc2lvbnNQcm90b3NQAVpP",
            "Z2l0aHViLmNvbS90ZW5zb3JmbG93L3RlbnNvcmZsb3cvdGVuc29yZmxvdy9n",
            "by9jb3JlL2ZyYW1ld29yay92ZXJzaW9uc19nb19wcm90b/gBAWIGcHJvdG8z"));
      descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
          new pbr::FileDescriptor[] { },
          new pbr::GeneratedClrTypeInfo(null, null, new pbr::GeneratedClrTypeInfo[] {