92 lines
4.0 KiB
C++
92 lines
4.0 KiB
C++
/*
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* Copyright (c) 2018-2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#ifndef ARM_COMPUTE_NEARGMINMAXLAYER_H
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#define ARM_COMPUTE_NEARGMINMAXLAYER_H
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#include "arm_compute/runtime/NEON/functions/NEReductionOperation.h"
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#include "arm_compute/core/Types.h"
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#include "arm_compute/runtime/MemoryGroup.h"
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#include "arm_compute/runtime/NEON/INESimpleFunction.h"
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namespace arm_compute
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{
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class ITensor;
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/** Function to calculate the index of the minimum or maximum values in a
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* tensor based on an axis.
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*
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* This function calls the following NEON kernels:
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*
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* -# @ref NEReductionOperationKernel
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* -# @ref NEFillBorderKernel
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*
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* @note The default data type for an uninitialized output tensor is
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* signed 32-bit integer (S32). It is the user's responsibility to check
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* that the results do not overflow because the indices are computed
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* in unsigned 32-bit (U32).
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*/
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class NEArgMinMaxLayer : public IFunction
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{
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public:
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/** Constructor */
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NEArgMinMaxLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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NEArgMinMaxLayer(const NEArgMinMaxLayer &) = delete;
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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NEArgMinMaxLayer &operator=(const NEArgMinMaxLayer &) = delete;
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/** Prevent instances of this class from being moved (As this class contains non movable objects) */
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NEArgMinMaxLayer(NEArgMinMaxLayer &&) = delete;
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/** Prevent instances of this class from being moved (As this class contains non movable objects) */
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NEArgMinMaxLayer &operator=(NEArgMinMaxLayer &&) = delete;
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/** Default destructor */
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~NEArgMinMaxLayer();
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/** Set the input and output tensors.
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*
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* @param[in] input Input source tensor. Data types supported: QASYMM8_SIGNED/QASYMM8/S32/F16/F32.
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* @param[in] axis Axis to find max/min index.
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* @param[out] output Output source tensor. Data types supported: U32/S32.
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* @param[in] op Operation to perform: min or max
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*/
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void configure(ITensor *input, int axis, ITensor *output, const ReductionOperation &op);
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/** Static function to check if given info will lead to a valid configuration of @ref NEArgMinMaxLayer
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*
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* @param[in] input Input source tensor info. Data types supported: QASYMM8_SIGNED/QASYMM8/S32/F16/F32.
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* @param[in] axis Axis to find max/min index.
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* @param[in] output Output source tensor info. Data types supported: U32/S32.
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* @param[in] op Operation to perform: min or max
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*
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* @return a status
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*/
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static Status validate(const ITensorInfo *input, int axis, const ITensorInfo *output, const ReductionOperation &op);
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// Inherited methods overridden:
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void run() override;
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private:
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std::unique_ptr<NEReductionOperation> _reduction_function;
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};
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} // namespace arm_compute
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#endif /* ARM_COMPUTE_NEARGMINMAXLAYER_H */
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