tfrt_regression_service.cc

/* Copyright 2020 Google Inc. All Rights Reserved.
 
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
 
    http://www.apache.org/licenses/LICENSE-2.0
 
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
 
#include "tensorflow_serving/servables/tensorflow/tfrt_regression_service.h"
 
#include "tensorflow/core/lib/core/errors.h"
#include "tensorflow/core/platform/tracing.h"
#include "tsl/platform/errors.h"
#include "tensorflow_serving/apis/regressor.h"
#include "tensorflow_serving/core/servable_handle.h"
#include "tensorflow_serving/model_servers/server_core.h"
#include "tensorflow_serving/servables/tensorflow/servable.h"
#include "tensorflow_serving/servables/tensorflow/util.h"
 
namespace tensorflow {
namespace serving {
 
Status TFRTRegressionServiceImpl::Regress(
    const Servable::RunOptions& run_options, ServerCore* core,
    const RegressionRequest& request, RegressionResponse* response) {
  // Verify Request Metadata and create a ServableRequest
  if (!request.has_model_spec()) {
    return tensorflow::Status(absl::StatusCode::kInvalidArgument,
                              "Missing ModelSpec");
  }
 
  return RegressWithModelSpec(run_options, core, request.model_spec(), request,
                              response);
}
 
Status TFRTRegressionServiceImpl::RegressWithModelSpec(
    const Servable::RunOptions& run_options, ServerCore* core,
    const ModelSpec& model_spec, const RegressionRequest& request,
    RegressionResponse* response) {
  TRACELITERAL("TensorflowRegressionServiceImpl::RegressWithModelSpec");
 
  ServableHandle<Servable> servable;
  TF_RETURN_IF_ERROR(core->GetServableHandle(model_spec, &servable));
  return servable->Regress(run_options, request, response);
}
 
}  // namespace serving
}  // namespace tensorflow