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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_BUILTIN_TRAIN_KERNEL_PERMUTELAYER_H__
#define __ONERT_BACKEND_BUILTIN_TRAIN_KERNEL_PERMUTELAYER_H__
#include "../../kernel/PermuteLayer.h"
#include "exec/train/ITrainableFunction.h"
namespace onert
{
namespace backend
{
namespace builtin
{
namespace train
{
namespace kernel
{
class PermuteLayer : public builtin::kernel::PermuteLayer, public exec::train::ITrainableFunction
{
public:
PermuteLayer(const std::vector<ITensor *> &src_tensors, const std::vector<ITensor *> &dst_tensors,
const std::vector<ITensor *> &input_deriv_tensors,
const std::vector<ITensor *> &output_deriv_tensors, bool ignore_forward_in_training,
const std::shared_ptr<ExternalContext> &external_context);
void optimize() override;
void forward(bool training) override;
void backward() override;
private:
std::vector<ITensor *> _input_deriv_tensors;
std::vector<ITensor *> _output_deriv_tensors;
bool _ignore_forward_in_training;
};
} // namespace kernel
} // namespace train
} // namespace builtin
} // namespace backend
} // namespace onert
#endif // __ONERT_BACKEND_BUILTIN_TRAIN_KERNEL_PERMUTELAYER_H__
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