PoolLayer.h

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/*
 * Copyright (c) 2023 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_TRAIN_OPS_POOLLAYER_H__
#define __ONERT_BACKEND_TRAIN_OPS_POOLLAYER_H__
 
#include <ops/PoolLayer.h>
 
#include <exec/train/ITrainableFunction.h>
 
namespace onert
{
namespace backend
{
namespace train
{
namespace ops
{
 
class TrainingKernelRegistry
{
public:
  virtual void forward(const IPortableTensor *in, IPortableTensor *out) = 0;
  virtual void backward(const IPortableTensor *back_prop_out, IPortableTensor *back_prop_in) = 0;
  TrainingKernelRegistry() = default;
  virtual ~TrainingKernelRegistry() = default;
};
 
enum class PoolType
{
  kMax,
  kAvg,
};
 
class PoolLayer : public ::onert::exec::train::ITrainableFunction, public cpu::ops::PoolLayer
{
public:
  PoolLayer();
 
public:
  void configureBackward(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 kernelWidth, const uint32_t kernelHeight,
                         const ir::Activation activation, const PoolType op_type,
                         IPortableTensor *output, IPortableTensor *back_prop_input,
                         const IPortableTensor *back_prop_output);
 
  void forward(bool training) override;
  void backward() override;
 
private:
  IPortableTensor *_back_prop_input;
  const IPortableTensor *_back_prop_output;
 
  std::unique_ptr<TrainingKernelRegistry> _kernel;
};
 
} // namespace ops
} // namespace train
} // namespace backend
} // namespace onert
 
#endif // __ONERT_BACKEND_TRAIN_OPS_POOLLAYER_H__