PadLayer.h

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/*
 * Copyright (c) 2024 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_PADLAYER_H__
#define __ONERT_BACKEND_TRAIN_OPS_PADLAYER_H__
 
#include <ops/PadLayer.h>
#include <backend/IPortableTensor.h>
#include "OperationUtils.h"
 
#include <exec/train/ITrainableFunction.h>
 
namespace onert::backend::train::ops
{
 
// Note, this is pad with mode=`CONSTANT`: it doesn't support `REFLECT` and
// `SYMMETRIC`
class PadLayer : public ::onert::exec::train::ITrainableFunction, public cpu::ops::PadLayer
{
public:
  PadLayer();
 
public:
  template <typename T> void depad();
 
  void configureBackward(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;
};
class PadLayer : public ::onert::exec::train::ITrainableFunction, public cpu::ops::PadLayer {…};
 
} // namespace onert::backend::train::ops
 
#endif // __ONERT_BACKEND_TRAIN_OPS_PADLAYER_H__