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/*
* Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
* Copyright (c) 2017 ARM Limited.
*
* 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.
*/
/**
* @file CLArgMinMax.h
* @ingroup COM_AI_RUNTIME
* @brief This file contains arm_compute::CLArgMinMax class
*/
#ifndef __ARM_COMPUTE_CLARG_MIN_MAX_H__
#define __ARM_COMPUTE_CLARG_MIN_MAX_H__
#include "arm_compute/core/CL/kernels/CLArgMinMaxKernel.h"
#include "arm_compute/runtime/CL/CLTensor.h"
#include "arm_compute/runtime/IFunction.h"
#include "arm_compute/core/TypesEx.h"
namespace arm_compute
{
class ICLTensor;
/**
* @brief Class to execute CLArgMinMax operation
*/
class CLArgMinMax : public IFunction
{
public:
/**
* @brief Construct a new CLArgMinMax object
*/
CLArgMinMax();
/**
* @brief Prevent instances of this class from being copied (As this class contains pointers)
*/
CLArgMinMax(const CLArgMinMax &) = delete;
/**
* @brief Prevent instances of this class from being copied (As this class contains pointers)
*/
CLArgMinMax &operator=(const CLArgMinMax &) = delete;
/**
* @brief Construct a new CLArgMinMax object by using copy constructor
* @param[in] CLArgMinMax object to move
*/
CLArgMinMax(CLArgMinMax &&) = default;
/**
* @brief Assign a CLArgMinMax object.
* @param[in] CLArgMinMax object to assign. This object will be moved.
*/
CLArgMinMax &operator=(CLArgMinMax &&) = default;
/**
* @brief Initialise the kernel's inputs and outputs.
* @param[in] input Input tensor. Data types supported: U8/QASYMM8/S32/F32.
* @param[out] output The result of argminmaxMax operation. Data types supported: same as @p
* input.
* @param[in] axis Axis to argminmax. It must be sorted and no duplicates.
* @param[in] is_min True for ArgMin operation.
* @param[in] is_max Ture for ArgMax operation.
* @return N/A
*/
void configure(ICLTensor *input, ICLTensor *output, std::vector<uint32_t> argminmax_axis,
ArgOperation op);
/**
* @brief Static function to check if given info will lead to a valid configuration
* @param[in] input Input tensor. Data types supported: U8/QASYMM8/S32/F32.
* @param[in] axis Axis to argminmax
* @param[out] output The result of argminmaxMax operation. Data types supported: same as @p
* input.
* @return a status
*/
static Status validate(const ITensorInfo *input, const std::vector<uint32_t> &argminmax_axis,
const ITensorInfo *output, ArgOperation op);
/**
* @brief Run the kernels contained in the function
* This operation works on CPU on GPU depending on the value of argminmax_MAX_RUN_ON_CPU macro
* in CLArgMinMax.cpp.
* If argminmax_MAX_RUN_ON_CPU == 1, CPU runs this operation.
* Otherwise GPU runs this operation.
* @return N/A
*/
void run() override;
private:
ICLTensor *_input;
ICLTensor *_output;
std::vector<uint32_t> _argminmax_axis;
ArgOperation _arg_op;
std::unique_ptr<CLTensor[]> _interm_tensors{nullptr};
std::unique_ptr<CLArgMinMaxKernel[]> _argminmax_kernels{nullptr};
size_t _num_of_kernels;
};
}
#endif /*__ARM_COMPUTE_CLargminmax_MAX_H__ */
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