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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 __SIMPLE_ARG_MIN_MAX_H__
#define __SIMPLE_ARG_MIN_MAX_H__
#include "internal/arm_compute.h"
#include "arm_compute/core/TypesEx.h"
class SimpleArgMinMax : public ::arm_compute::IFunction
{
public:
SimpleArgMinMax(void) : _input(nullptr), _output(nullptr), _axis(), _input_rank(0)
{
// DO NOTHING
}
public:
/** Initialise input and output
*
* @param[in] input First tensor input.
* @param[out] output Output tensor.
* @param[in] axis Dimension along which to find Min or Max Index.
*/
void configure(::arm_compute::ITensor *input, ::arm_compute::ITensor *output,
std::vector<uint32_t> axis, ::arm_compute::ArgOperation _op_type);
void run() override;
private:
::arm_compute::ITensor *_input;
::arm_compute::ITensor *_output;
std::vector<uint32_t> _axis;
int _input_rank;
::arm_compute::ArgOperation _op_type;
};
#endif /*__SIMPLE_ARG_MIN_MAX_H__ */
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