ConvBackend.h

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/*
 * Copyright (c) 2018 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 __CONV_BACKEND_H__
#define __CONV_BACKEND_H__
 
#include <nnsuite/conv/Model.h>
#include <nnkit/support/tflite/AbstractBackend.h>
 
#include <vector>
 
class ConvBackend final : public nnkit::support::tflite::AbstractBackend
{
public:
  explicit ConvBackend(const nnsuite::conv::Model &model);
 
public:
  ::tflite::Interpreter &interpreter(void) override { return _interp; }
 
private:
  // NOTE tflite interpreter just stores the pointer of its name
  const std::string _ifm_name;
  const std::string _ofm_name;
 
  // NOTE kernel data should live longer than tflite interpreter itself
  std::vector<float> _kernel;
 
  // NOTE bias is mssing in conv sample model, but conv op kernel in
  //      tensorflow lite interpreter does not work without bias.
  //
  //      Let's feed zero-bias as a workaround
  std::vector<float> _bias;
 
private:
  ::tflite::Interpreter _interp;
};
 
#endif // __BACKEND_H__