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// Generated by the protocol buffer compiler.  DO NOT EDIT!
// source: step_stats.proto

package org.tensorflow.framework;

public final class StepStatsProtos {
  private StepStatsProtos() {}
  public static void registerAllExtensions(
      com.google.protobuf.ExtensionRegistryLite registry) {
  }

  public static void registerAllExtensions(
      com.google.protobuf.ExtensionRegistry registry) {
    registerAllExtensions(
        (com.google.protobuf.ExtensionRegistryLite) registry);
  }
  static final com.google.protobuf.Descriptors.Descriptor
    internal_static_tensorflow_AllocatorMemoryUsed_descriptor;
  static final 
    com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
      internal_static_tensorflow_AllocatorMemoryUsed_fieldAccessorTable;
  static final com.google.protobuf.Descriptors.Descriptor
    internal_static_tensorflow_NodeOutput_descriptor;
  static final 
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      internal_static_tensorflow_NodeOutput_fieldAccessorTable;
  static final com.google.protobuf.Descriptors.Descriptor
    internal_static_tensorflow_NodeExecStats_descriptor;
  static final 
    com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
      internal_static_tensorflow_NodeExecStats_fieldAccessorTable;
  static final com.google.protobuf.Descriptors.Descriptor
    internal_static_tensorflow_DeviceStepStats_descriptor;
  static final 
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      internal_static_tensorflow_DeviceStepStats_fieldAccessorTable;
  static final com.google.protobuf.Descriptors.Descriptor
    internal_static_tensorflow_StepStats_descriptor;
  static final 
    com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
      internal_static_tensorflow_StepStats_fieldAccessorTable;

  public static com.google.protobuf.Descriptors.FileDescriptor
      getDescriptor() {
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  private static  com.google.protobuf.Descriptors.FileDescriptor
      descriptor;
  static {
    java.lang.String[] descriptorData = {
      "\n\020step_stats.proto\022\ntensorflow\0326tensorfl" +
      "ow/core/framework/allocation_description" +
      ".proto\0322tensorflow/core/framework/tensor" +
      "_description.proto\"V\n\023AllocatorMemoryUse" +
      "d\022\026\n\016allocator_name\030\001 \001(\t\022\023\n\013total_bytes" +
      "\030\002 \001(\003\022\022\n\npeak_bytes\030\003 \001(\003\"U\n\nNodeOutput" +
      "\022\014\n\004slot\030\001 \001(\005\0229\n\022tensor_description\030\003 \001" +
      "(\0132\035.tensorflow.TensorDescription\"\354\002\n\rNo" +
      "deExecStats\022\021\n\tnode_name\030\001 \001(\t\022\030\n\020all_st" +
      "art_micros\030\002 \001(\003\022\033\n\023op_start_rel_micros\030",
      "\003 \001(\003\022\031\n\021op_end_rel_micros\030\004 \001(\003\022\032\n\022all_" +
      "end_rel_micros\030\005 \001(\003\022/\n\006memory\030\006 \003(\0132\037.t" +
      "ensorflow.AllocatorMemoryUsed\022&\n\006output\030" +
      "\007 \003(\0132\026.tensorflow.NodeOutput\022\026\n\016timelin" +
      "e_label\030\010 \001(\t\022\030\n\020scheduled_micros\030\t \001(\003\022" +
      "\021\n\tthread_id\030\n \001(\r\022<\n\021referenced_tensor\030" +
      "\013 \003(\0132!.tensorflow.AllocationDescription" +
      "\"P\n\017DeviceStepStats\022\016\n\006device\030\001 \001(\t\022-\n\nn" +
      "ode_stats\030\002 \003(\0132\031.tensorflow.NodeExecSta" +
      "ts\";\n\tStepStats\022.\n\tdev_stats\030\001 \003(\0132\033.ten",
      "sorflow.DeviceStepStatsB0\n\030org.tensorflo" +
      "w.frameworkB\017StepStatsProtosP\001\370\001\001b\006proto" +
      "3"
    };
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    com.google.protobuf.Descriptors.FileDescriptor
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        new com.google.protobuf.Descriptors.FileDescriptor[] {
          org.tensorflow.framework.AllocationDescriptionProtos.getDescriptor(),
          org.tensorflow.framework.TensorDescriptionProtos.getDescriptor(),
        }, assigner);
    internal_static_tensorflow_AllocatorMemoryUsed_descriptor =
      getDescriptor().getMessageTypes().get(0);
    internal_static_tensorflow_AllocatorMemoryUsed_fieldAccessorTable = new
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        internal_static_tensorflow_AllocatorMemoryUsed_descriptor,
        new java.lang.String[] { "AllocatorName", "TotalBytes", "PeakBytes", });
    internal_static_tensorflow_NodeOutput_descriptor =
      getDescriptor().getMessageTypes().get(1);
    internal_static_tensorflow_NodeOutput_fieldAccessorTable = new
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        new java.lang.String[] { "Slot", "TensorDescription", });
    internal_static_tensorflow_NodeExecStats_descriptor =
      getDescriptor().getMessageTypes().get(2);
    internal_static_tensorflow_NodeExecStats_fieldAccessorTable = new
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        internal_static_tensorflow_NodeExecStats_descriptor,
        new java.lang.String[] { "NodeName", "AllStartMicros", "OpStartRelMicros", "OpEndRelMicros", "AllEndRelMicros", "Memory", "Output", "TimelineLabel", "ScheduledMicros", "ThreadId", "ReferencedTensor", });
    internal_static_tensorflow_DeviceStepStats_descriptor =
      getDescriptor().getMessageTypes().get(3);
    internal_static_tensorflow_DeviceStepStats_fieldAccessorTable = new
      com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
        internal_static_tensorflow_DeviceStepStats_descriptor,
        new java.lang.String[] { "Device", "NodeStats", });
    internal_static_tensorflow_StepStats_descriptor =
      getDescriptor().getMessageTypes().get(4);
    internal_static_tensorflow_StepStats_fieldAccessorTable = new
      com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
        internal_static_tensorflow_StepStats_descriptor,
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    org.tensorflow.framework.AllocationDescriptionProtos.getDescriptor();
    org.tensorflow.framework.TensorDescriptionProtos.getDescriptor();
  }

  // @@protoc_insertion_point(outer_class_scope)
}




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