tf2xla.proto

syntax = "proto3";

package tensorflow.tf2xla;
option cc_enable_arenas = true;
option java_outer_classname = "Tf2XlaProtos";
option java_multiple_files = true;
option java_package = "org.tensorflow.tf2xla";

import "tensorflow/core/framework/tensor_shape.proto";
import "tensorflow/core/framework/types.proto";

// TensorId identifies a tensor in a TensorFlow graph, by specifying the output
// index of a particular node in the graph.  If the output of the named node
// feeds into other node(s), this corresponds to one or more edges.  Otherwise
// it doesn't correspond to any existing edges at all, e.g. for output nodes.
message TensorId {
  string node_name = 1;
  int64 output_index = 2;
};

// Feed represents a single feed tensor in the graph, which corresponds to an
// input argument for the generated computation.
message Feed {
  TensorId id = 1;
  TensorShapeProto shape = 2;
  string name = 3;  // Optional name for generated code.

  // Optional data type. This is not normally required, as the graph itself
  // contains this information. However, if the node being fed is an op that is
  // not linked into the binary, then the type cannot be inferred from the node;
  // in this case, the type should be set here.
  DataType type = 4;
};

// Fetch represents a single fetch tensor in the graph, which corresponds to an
// output argument for the generated computation.
message Fetch {
  TensorId id = 1;
  string name = 2;  // Optional name for generated code.
};

// Config represents configuration information for tf2xla conversion.
message Config {
  // Each feed is a positional input argument for the generated computation.
  // The order of each entry matches the order of each input argument.
  repeated Feed feed = 1;
  // Each fetch is a positional output argument for the generated computation.
  // The order of each entry matches the order of each output argument.
  repeated Fetch fetch = 2;
};