Backend.h

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/*
 * Copyright (c) 2019 Samsung Electronics Co., Ltd. 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.
 */
 
#ifndef __NNKIT_SUPPORT_TF_BACKEND_H__
#define __NNKIT_SUPPORT_TF_BACKEND_H__
 
#include "nnkit/support/tf/TensorDataMap.h"
#include "nnkit/support/tf/TensorContext.h"
#include "nnkit/support/tf/Runner.h"
#include "nnkit/support/tftestinfo/ParsedTensor.h"
 
#include <nnkit/Backend.h>
 
#include <memory>
#include <vector>
 
namespace nnkit
{
namespace support
{
namespace tf
{
 
using nnkit::support::tftestinfo::ParsedTensor;
 
class Backend final : public nnkit::Backend
{
public:
  Backend() = delete;
  Backend(const Backend &) = delete;
  Backend(Backend &&) = delete;
 
  Backend(const char *pb_path, const char *info_path);
 
  void prepare(const std::function<void(nnkit::TensorContext &)> &f) override;
 
  void run(void) override;
 
  void teardown(const std::function<void(nnkit::TensorContext &)> &f) override;
 
private:
  std::vector<std::unique_ptr<ParsedTensor>> _inputs;
  std::vector<std::unique_ptr<ParsedTensor>> _outputs;
 
  TensorDataMap _data_map;
 
  Runner _tf_runner;
};
 
} // namespace tf
} // namespace support
} // namespace nnkit
 
#endif // __NNKIT_SUPPORT_TF_BACKEND_H__