/* * Copyright (c) 2017-2021 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_NEREDUCTIONOPERATIONKERNEL_H #define ARM_COMPUTE_NEREDUCTIONOPERATIONKERNEL_H #include "src/core/NEON/INEKernel.h" namespace arm_compute { class ITensor; /** Kernel to perform a reduction operation * * @note For ARG_MIN/ARG_MAX reduction, 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 NEReductionOperationKernel : public INEKernel { public: const char *name() const override { return "NEReductionOperationKernel"; } /** Default constructor */ NEReductionOperationKernel(); /** Prevent instances of this class from being copied (As this class contains pointers) */ NEReductionOperationKernel(const NEReductionOperationKernel &) = delete; /** Prevent instances of this class from being copied (As this class contains pointers) */ NEReductionOperationKernel &operator=(const NEReductionOperationKernel &) = delete; /** Allow instances of this class to be moved */ NEReductionOperationKernel(NEReductionOperationKernel &&) = default; /** Allow instances of this class to be moved */ NEReductionOperationKernel &operator=(NEReductionOperationKernel &&) = default; /** Default destructor */ ~NEReductionOperationKernel() = default; /** Set the source, destination of the kernel * * @param[in] input Source tensor. Data type supported: QASYMM8_SIGNED/QASYMM8/F16/F32/S32. * @param[out] output Destination tensor.Data types and data layouts supported: same as @p input, S32 for ARG_MIX/ARG_MAX. * Output will have the same number of dimensions as input. * @param[in] axis Axis along which to reduce. Supported reduction axis : 0 * @param[in] op Reduction operation to perform. */ void configure(const ITensor *input, ITensor *output, unsigned int axis, ReductionOperation op); /** Static function to check if given info will lead to a valid configuration of @ref NEReductionOperationKernel. * * @param[in] input Source tensor info. Data type supported: QASYMM8_SIGNED/QASYMM8/F16/F32/S32. * @param[in] output Destination tensor info.Data types and data layouts supported: same as @p input, S32 for ARG_MIX/ARG_MAX. * Output will have the same number of dimensions as input. * @param[in] axis Axis along which to reduce. Supported reduction axis : 0 * @param[in] op Reduction operation to perform. * * @return a status */ static Status validate(const ITensorInfo *input, const ITensorInfo *output, unsigned int axis, ReductionOperation op); // Inherited methods overridden: void run(const Window &window, const ThreadInfo &info) override; private: const ITensor *_input; ITensor *_output; unsigned int _reduction_axis; ReductionOperation _op; }; } // namespace arm_compute #endif /*ARM_COMPUTE_NEREDUCTIONOPERATIONKERNEL_H */