text: // Copyright (c) 2018-2019, NVIDIA CORPORATION. All rights reserved.
  //
  // Redistribution and use in source and binary forms, with or without
  // modification, are permitted provided that the following conditions
  // are met:
  //  * Redistributions of source code must retain the above copyright
  //    notice, this list of conditions and the following disclaimer.
  //  * Redistributions in binary form must reproduce the above copyright
  //    notice, this list of conditions and the following disclaimer in the
  //    documentation and/or other materials provided with the distribution.
  //  * Neither the name of NVIDIA CORPORATION nor the names of its
  //    contributors may be used to endorse or promote products derived
  //    from this software without specific prior written permission.
  //
  // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
  // EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
  // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
  // PURPOSE ARE DISCLAIMED.  IN NO EVENT SHALL THE COPYRIGHT OWNER OR
  // CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
  // EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
  // PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
  // PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
  // OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
  // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
  // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
  #pragma once
  
  #include "src/core/status.h"
  #include "tensorflow/cc/saved_model/loader.h"
  #include "tensorflow/cc/saved_model/tag_constants.h"
  
  namespace nvidia { namespace inferenceserver {
  
  /// Load a SavedModel from a path and return the corresponding
  /// bundle.
  ///
  /// \param model_name The name of the model
  /// \param model_path The path to the SavedModel directory
  /// \param session_options The options to use when creating the bundle
  /// \param bundle Returns the SavedModelBundle
  /// \param sig If non-nullptr returns the signature of the model
  /// \return Error status.
  Status LoadSavedModel(
      const std::string& model_name, const std::string& model_path,
      const tensorflow::SessionOptions& session_options,
      std::unique_ptr<tensorflow::SavedModelBundle>* bundle,
      tensorflow::SignatureDef* sig = nullptr);
  
  }}  // namespace nvidia::inferenceserver
  