Loss.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_IR_TRAIN_OPERATION_LOSS_H__
#define __ONERT_IR_TRAIN_OPERATION_LOSS_H__
 
#include "ir/operation/Loss.h"
#include "ir/train/TrainableOperation.h"
 
#include "ir/train/LossCode.h"
#include "ir/train/LossInfo.h"
 
namespace onert::ir::train::operation
{
 
class Loss : public ir::operation::Loss, public TrainableOperation
{
private:
  using OperationType = ir::operation::Loss;
 
public:
  Loss(const OperationType &operation, const LossInfo &info, ir::OpCode y_pred_op_code);
 
public:
  std::unique_ptr<ITrainableOperation> clone() const override;
  void accept(OperationVisitor &v) const override;
  void accept(TrainableOperationVisitor &v) const override;
  bool hasTrainableParameter() const override { return false; }
  std::string name() const override { return toString(_param.loss_code) + toString(opcode()); };
 
public:
  const LossInfo &param() const { return _param; }
  ir::OpCode y_pred_op_code() const { return _y_pred_op_code; }
 
private:
  LossInfo _param;
  ir::OpCode _y_pred_op_code; // The op code of the last node computing y_pred
};
class Loss : public ir::operation::Loss, public TrainableOperation {…};
 
} // namespace onert::ir::train::operation
 
#endif // __ONERT_IR_TRAIN_OPERATION_LOSS_H__