ConvolutionLayer.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 __ONERT_BACKEND_CPU_OPS_CONVOLUTIONLAYER_H__
#define __ONERT_BACKEND_CPU_OPS_CONVOLUTIONLAYER_H__
 
#include <backend/IPortableTensor.h>
#include "OperationUtils.h"
 
#include <exec/IFunction.h>
#include <functional>
#include <memory>
 
namespace nnfw::cker
{
class Conv;
struct ConvHybridTempArena;
class Shape;
} // namespace nnfw::cker
 
namespace onert::backend::cpu::ops
{
 
class ConvolutionLayer : public ::onert::exec::IFunction
{
public:
  ConvolutionLayer();
  ~ConvolutionLayer();
 
public:
  void configure(const IPortableTensor *input, const IPortableTensor *kernel,
                 const IPortableTensor *bias, ir::PaddingType _paddingType,
                 const uint32_t paddingLeft, const uint32_t paddingRight, const uint32_t paddingTop,
                 const uint32_t paddingBottom, const uint32_t strideWidth,
                 const uint32_t strideHeight, const uint32_t dilationWidthFactor,
                 const uint32_t dilationHeightFactor, const ir::Activation activation,
                 IPortableTensor *output, bool is_cachable_weights);
  void prepare() override;
  void run() override;
 
private:
  void convFloat32();
  void convQ8uPerTensor();
  void convQ8uPerChannel();
  void convQ8i();
  void convQ8iHybridPerChannel();
 
protected:
  const IPortableTensor *_input;
  const IPortableTensor *_kernel;
  const IPortableTensor *_bias;
  IPortableTensor *_output;
 
  ir::PaddingType _paddingType;
  uint32_t _paddingLeft;
  uint32_t _paddingTop;
  uint32_t _paddingRight;
  uint32_t _paddingBottom;
 
  uint32_t _strideWidth;
  uint32_t _strideHeight;
  uint32_t _dilationWidthFactor;
  uint32_t _dilationHeightFactor;
 
  ir::Activation _activation;
 
  std::unique_ptr<nnfw::cker::Conv> _conv_kernel;
  std::unique_ptr<nnfw::cker::ConvHybridTempArena> _hybrid_arena;
 
  bool _prepare;
  bool _is_cachable_weights;
  bool _is_hybrid;
};
class ConvolutionLayer : public ::onert::exec::IFunction {…};
 
} // namespace onert::backend::cpu::ops
 
#endif // __ONERT_BACKEND_CPU_OPS_CONVOLUTIONLAYER_H__