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/*
* Copyright (c) 2018 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_CPU_KERNEL_SOFTMAXLAYER_H__
#define __ONERT_BACKEND_CPU_KERNEL_SOFTMAXLAYER_H__
#include "../operand/Tensor.h"
#include <exec/IFunction.h>
namespace onert
{
namespace backend
{
namespace cpu
{
namespace kernel
{
class SoftMaxLayer : public ::onert::exec::IFunction
{
public:
SoftMaxLayer();
public:
void softmaxFloat32();
void softmaxQuant8();
void configure(const operand::Tensor *input, const float beta, operand::Tensor *output);
void run();
void runSync()
{
// this abstract method is used just for profiling and called for
// backend::acl_common::AclFunction
run();
}
private:
const operand::Tensor *_input;
operand::Tensor *_output;
float _beta;
};
} // namespace kernel
} // namespace cpu
} // namespace backend
} // namespace onert
#endif // __ONERT_BACKEND_CPU_KERNEL_SOFTMAXLAYER_H__
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