model.proto

syntax = "proto3";

package tensorflow.serving;

import "google/protobuf/wrappers.proto";

option cc_enable_arenas = true;

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

  // Optional choice of which version of the model to use.
  //
  // Expected to be left unset in the common case. Should be specified when
  // there is a strong version consistency requirement (e.g. when the model
  // signature changes across versions and requests need to be
  // version-specific).
  //
  // When left unspecified, the system will serve the best available version.
  // This is typically the latest version, though during version transitions,
  // notably when serving on a fleet of instances, may be either the previous or
  // new version.
  oneof version_choice {
    // Use this specific version number.
    google.protobuf.Int64Value version = 2;

    // Use the version associated with the given label.
    string version_label = 4;
  }

  // A named signature to evaluate. If unspecified, the default signature will
  // be used.
  string signature_name = 3;
}