/* * Copyright (c) 2018-2019 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 indices are computed in unsigned 32-bit (U32). It is the user's * responsibility to check that the results do not overflow in case the * output data type is set to signed 32-bit integer (S32). */ class NEArgMinMaxLayer : public IFunction { public: /** Constructor */ NEArgMinMaxLayer(std::shared_ptr memory_manager = nullptr); /** Set the input and output tensors. * * @param[in] input Input source tensor. Data types supported: 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/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 _reduction_function; }; } // namespace arm_compute #endif /* __ARM_COMPUTE_NEARGMINMAXLAYER_H__ */