model_service.proto

syntax = "proto3";

option cc_enable_arenas = true;

import "tensorflow_serving/apis/get_model_status.proto";
import "tensorflow_serving/apis/model_management.proto";

package tensorflow.serving;

// ModelService provides methods to query and update the state of the server,
// e.g. which models/versions are being served.
service ModelService {
  // Gets status of model. If the ModelSpec in the request does not specify
  // version, information about all versions of the model will be returned. If
  // the ModelSpec in the request does specify a version, the status of only
  // that version will be returned.
  rpc GetModelStatus(GetModelStatusRequest) returns (GetModelStatusResponse);

  // Reloads the set of served models. The new config supersedes the old one,
  // so if a model is omitted from the new config it will be unloaded and no
  // longer served.
  rpc HandleReloadConfigRequest(ReloadConfigRequest)
      returns (ReloadConfigResponse);
}