| /* |
| * 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 */ |