syntax = "proto3";

package tensorflow;
option cc_enable_arenas = true;
option java_outer_classname = "RemoteFusedGraphExecuteInfoProto";
option java_multiple_files = true;
option java_package = "org.tensorflow.framework";
option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/framework";
import "tensorflow/core/framework/graph.proto";
import "tensorflow/core/framework/tensor_shape.proto";
import "tensorflow/core/framework/types.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 RemoteFusedGraphExecuteInfo {

  message TensorShapeTypeProto {
    DataType dtype = 1;
    TensorShapeProto shape = 2;
  }

  // Definition of remote graph
  GraphDef remote_graph = 1;

  // Remote fused graph input node name
  repeated string graph_input_node_name = 2;

  // Remote fused graph output node name
  repeated string graph_output_node_name = 3;

  // Executor's name
  string executor_name = 4;

  // Optional: Parameters given to the executor
  bytes serialized_executor_parameters = 5;

  // Optional: Default graph input tensor shape used to allocate memory
  // before executing op
  repeated TensorShapeTypeProto default_graph_input_tensor_shape = 6;

  // Optional: Default graph input tensor shape used to allocate memory
  // before executing op
  // TODO(satok): Remote output tensor shape once shape information is stored
  // in NodeDef
  repeated TensorShapeTypeProto default_graph_output_tensor_shape = 7;
};