model.proto

syntax = "proto3";

package tensorflow.serving;
option cc_enable_arenas = true;

import "google/protobuf/wrappers.proto";

// Metadata for an inference request such as the model name and version.
message ModelSpec {
  // Required servable name.
  string name = 1;

  // Optional version. If unspecified, will use the latest (numerical) version.
  // Typically not needed unless coordinating across multiple models that were
  // co-trained and/or have inter-dependencies on the versions used at inference
  // time.
  google.protobuf.Int64Value version = 2;

  // A named signature to evaluate. If unspecified, the default signature will
  // be used. Note that only MultiInference will initially support this.
  string signature_name = 3;
}