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/*
* Copyright (c) 2018-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef ARM_COMPUTE_NEARGMINMAXLAYER_H
#define ARM_COMPUTE_NEARGMINMAXLAYER_H
#include "arm_compute/runtime/NEON/functions/NEReductionOperation.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/MemoryGroup.h"
#include "arm_compute/runtime/NEON/INESimpleFunction.h"
namespace arm_compute
{
class ITensor;
/** Function to calculate the index of the minimum or maximum values in a
* tensor based on an axis.
*
* This function calls the following Neon kernels:
*
* -# @ref NEReductionOperationKernel
* -# @ref NEFillBorderKernel
*
* @note The default data type for an uninitialized output tensor is
* signed 32-bit integer (S32). It is the user's responsibility to check
* that the results do not overflow because the indices are computed
* in unsigned 32-bit (U32).
*/
class NEArgMinMaxLayer : public IFunction
{
public:
/** Constructor */
NEArgMinMaxLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEArgMinMaxLayer(const NEArgMinMaxLayer &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEArgMinMaxLayer &operator=(const NEArgMinMaxLayer &) = delete;
/** Prevent instances of this class from being moved (As this class contains non movable objects) */
NEArgMinMaxLayer(NEArgMinMaxLayer &&) = delete;
/** Prevent instances of this class from being moved (As this class contains non movable objects) */
NEArgMinMaxLayer &operator=(NEArgMinMaxLayer &&) = delete;
/** Default destructor */
~NEArgMinMaxLayer();
/** Set the input and output tensors.
*
* @param[in] input Input source tensor. Data types supported: QASYMM8_SIGNED/QASYMM8/S32/F16/F32.
* @param[in] axis Axis to find max/min index.
* @param[out] output Output source tensor. Data types supported: U32/S32.
* @param[in] op Operation to perform: min or max
*/
void configure(ITensor *input, int axis, ITensor *output, const ReductionOperation &op);
/** Static function to check if given info will lead to a valid configuration of @ref NEArgMinMaxLayer
*
* @param[in] input Input source tensor info. Data types supported: QASYMM8_SIGNED/QASYMM8/S32/F16/F32.
* @param[in] axis Axis to find max/min index.
* @param[in] output Output source tensor info. Data types supported: U32/S32.
* @param[in] op Operation to perform: min or max
*
* @return a status
*/
static Status validate(const ITensorInfo *input, int axis, const ITensorInfo *output, const ReductionOperation &op);
// Inherited methods overridden:
void run() override;
private:
std::unique_ptr<NEReductionOperation> _reduction_function;
};
} // namespace arm_compute
#endif /* ARM_COMPUTE_NEARGMINMAXLAYER_H */
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