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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_RESHAPELAYER_H__
#define __ONERT_BACKEND_TRAIN_OPS_RESHAPELAYER_H__
#include <backend/IPortableTensor.h>
#include <exec/train/ITrainableFunction.h>
namespace onert
{
namespace backend
{
namespace train
{
namespace ops
{
class ReshapeLayer : public ::onert::exec::train::ITrainableFunction
{
public:
ReshapeLayer();
public:
void configure(const IPortableTensor *input, const IPortableTensor *shape,
IPortableTensor *output, IPortableTensor *deriv_input,
const IPortableTensor *deriv_output);
void forward(bool training) override;
void backward() override;
private:
void reshapeGeneric(const IPortableTensor *input, IPortableTensor *output);
private:
const IPortableTensor *_input;
const IPortableTensor *_shape;
IPortableTensor *_output;
IPortableTensor *_deriv_input;
const IPortableTensor *_deriv_output;
};
} // namespace ops
} // namespace train
} // namespace backend
} // namespace onert
#endif // __ONERT_BACKEND_TRAIN_OPS_RESHAPELAYER_H__
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