mindspore2022/third_party/proto/tensorflow/resource_handle.proto

syntax = "proto3";

package tensorflow;

import "tensor_shape.proto";
import "types.proto";

option cc_enable_arenas = true;
option java_outer_classname = "ResourceHandle";
option java_multiple_files = true;
option java_package = "org.tensorflow.framework";
option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/framework/resource_handle_go_proto";

// Protocol buffer representing a handle to a tensorflow resource. Handles are
// not valid across executions, but can be serialized back and forth from within
// a single run.
message ResourceHandleProto {
  // Unique name for the device containing the resource.
  string device = 1;

  // Container in which this resource is placed.
  string container = 2;

  // Unique name of this resource.
  string name = 3;

  // Hash code for the type of the resource. Is only valid in the same device
  // and in the same execution.
  uint64 hash_code = 4;

  // For debug-only, the name of the type pointed to by this handle, if
  // available.
  string maybe_type_name = 5;

  // Protocol buffer representing a pair of (data type, tensor shape).
  message DtypeAndShape {
    DataType dtype = 1;
    TensorShapeProto shape = 2;
  }

  // Data types and shapes for the underlying resource.
  repeated DtypeAndShape dtypes_and_shapes = 6;

  reserved 7;
}