// Generated by the protocol buffer compiler.  DO NOT EDIT!
// source: tensorflow/core/framework/tensor.proto

package org.tensorflow.proto.framework;

public final class TensorProtos {
  private TensorProtos() {}
  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_TensorProto_descriptor;
  static final 
    com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
      internal_static_tensorflow_TensorProto_fieldAccessorTable;
  static final com.google.protobuf.Descriptors.Descriptor
    internal_static_tensorflow_VariantTensorDataProto_descriptor;
  static final 
    com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
      internal_static_tensorflow_VariantTensorDataProto_fieldAccessorTable;

  public static com.google.protobuf.Descriptors.FileDescriptor
      getDescriptor() {
    return descriptor;
  }
  private static  com.google.protobuf.Descriptors.FileDescriptor
      descriptor;
  static {
    String[] descriptorData = {
        "\n&tensorflow/core/framework/tensor.proto" +
            "\022\ntensorflow\032/tensorflow/core/framework/" +
            "resource_handle.proto\032,tensorflow/core/f" +
            "ramework/tensor_shape.proto\032%tensorflow/" +
            "core/framework/types.proto\"\214\004\n\013TensorPro" +
            "to\022#\n\005dtype\030\001 \001(\0162\024.tensorflow.DataType\022" +
            "2\n\014tensor_shape\030\002 \001(\0132\034.tensorflow.Tenso" +
            "rShapeProto\022\026\n\016version_number\030\003 \001(\005\022\026\n\016t" +
            "ensor_content\030\004 \001(\014\022\024\n\010half_val\030\r \003(\005B\002\020" +
            "\001\022\025\n\tfloat_val\030\005 \003(\002B\002\020\001\022\026\n\ndouble_val\030\006" +
      " \003(\001B\002\020\001\022\023\n\007int_val\030\007 \003(\005B\002\020\001\022\022\n\nstring_" +
      "val\030\010 \003(\014\022\030\n\014scomplex_val\030\t \003(\002B\002\020\001\022\025\n\ti" +
      "nt64_val\030\n \003(\003B\002\020\001\022\024\n\010bool_val\030\013 \003(\010B\002\020\001" +
      "\022\030\n\014dcomplex_val\030\014 \003(\001B\002\020\001\022<\n\023resource_h" +
      "andle_val\030\016 \003(\0132\037.tensorflow.ResourceHan" +
      "dleProto\0227\n\013variant_val\030\017 \003(\0132\".tensorfl" +
      "ow.VariantTensorDataProto\022\026\n\nuint32_val\030" +
      "\020 \003(\rB\002\020\001\022\026\n\nuint64_val\030\021 \003(\004B\002\020\001\"g\n\026Var" +
      "iantTensorDataProto\022\021\n\ttype_name\030\001 \001(\t\022\020" +
      "\n\010metadata\030\002 \001(\014\022(\n\007tensors\030\003 \003(\0132\027.tens" +
      "orflow.TensorProtoB\202\001\n\036org.tensorflow.pr" +
      "oto.frameworkB\014TensorProtosP\001ZMgithub.co" +
      "m/tensorflow/tensorflow/tensorflow/go/co" +
      "re/framework/tensor_go_proto\370\001\001b\006proto3"
    };
    descriptor = com.google.protobuf.Descriptors.FileDescriptor
      .internalBuildGeneratedFileFrom(descriptorData,
        new com.google.protobuf.Descriptors.FileDescriptor[]{
            ResourceHandle.getDescriptor(),
            TensorShapeProtos.getDescriptor(),
            TypesProtos.getDescriptor(),
        });
    internal_static_tensorflow_TensorProto_descriptor =
        getDescriptor().getMessageTypes().get(0);
    internal_static_tensorflow_TensorProto_fieldAccessorTable = new
        com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
        internal_static_tensorflow_TensorProto_descriptor,
        new String[]{"Dtype", "TensorShape", "VersionNumber", "TensorContent", "HalfVal", "FloatVal", "DoubleVal",
            "IntVal", "StringVal", "ScomplexVal", "Int64Val", "BoolVal", "DcomplexVal", "ResourceHandleVal",
            "VariantVal", "Uint32Val", "Uint64Val",});
    internal_static_tensorflow_VariantTensorDataProto_descriptor =
        getDescriptor().getMessageTypes().get(1);
    internal_static_tensorflow_VariantTensorDataProto_fieldAccessorTable = new
        com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
        internal_static_tensorflow_VariantTensorDataProto_descriptor,
        new String[]{"TypeName", "Metadata", "Tensors",});
    ResourceHandle.getDescriptor();
    TensorShapeProtos.getDescriptor();
    TypesProtos.getDescriptor();
  }

  // @@protoc_insertion_point(outer_class_scope)
}
