/* * Copyright (c) 2016-2019 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_NEARITHMETICSUBTRACTIONKERNEL_H #define ARM_COMPUTE_NEARITHMETICSUBTRACTIONKERNEL_H #include "arm_compute/core/NEON/INEKernel.h" #include "arm_compute/core/Types.h" namespace arm_compute { class ITensor; /** Interface for the kernel to perform subtraction between two tensors */ class NEArithmeticSubtractionKernel : public INEKernel { public: const char *name() const override { return "NEArithmeticSubtractionKernel"; } /** Default constructor */ NEArithmeticSubtractionKernel(); /** Prevent instances of this class from being copied (As this class contains pointers) */ NEArithmeticSubtractionKernel(const NEArithmeticSubtractionKernel &) = delete; /** Prevent instances of this class from being copied (As this class contains pointers) */ NEArithmeticSubtractionKernel &operator=(const NEArithmeticSubtractionKernel &) = delete; /** Allow instances of this class to be moved */ NEArithmeticSubtractionKernel(NEArithmeticSubtractionKernel &&) = default; /** Allow instances of this class to be moved */ NEArithmeticSubtractionKernel &operator=(NEArithmeticSubtractionKernel &&) = default; /** Default destructor */ ~NEArithmeticSubtractionKernel() = default; /** Initialise the kernel's input, output and border mode. * * Valid configurations (Input1,Input2) -> Output : * * - (U8,U8) -> U8 * - (U8,U8) -> S16 * - (QASYMM8, QASYMM8) -> QASYMM8 * - (S16,U8) -> S16 * - (U8,S16) -> S16 * - (S16,S16) -> S16 * - (F16,F16) -> F16 * - (F32,F32) -> F32 * * @param[in] input1 An input tensor. Data types supported: U8/QASYMM8/S16/F16/F32 * @param[in] input2 An input tensor. Data types supported: U8/QASYMM8/S16/F16/F32 * @param[out] output The output tensor. Data types supported: U8/QASYMM8/S16/F16/F32. * @param[in] policy Overflow policy. Convert policy cannot be WRAP if datatype is QASYMM8 */ void configure(const ITensor *input1, const ITensor *input2, ITensor *output, ConvertPolicy policy); /** Static function to check if given info will lead to a valid configuration of @ref NEArithmeticSubtractionKernel * * @note Convert policy cannot be WRAP if datatype is QASYMM8 * * @param[in] input1 First tensor input. Data types supported: U8/QASYMM8/S16/F16/F32 * @param[in] input2 Second tensor input. Data types supported: U8/QASYMM8/S16/F16/F32 * @param[in] output Output tensor. Data types supported: U8/QASYMM8/S16/F16/F32 * @param[in] policy Policy to use to handle overflow. Convert policy cannot be WRAP if datatype is QASYMM8 * * @return a status */ static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy); // Inherited methods overridden: void run(const Window &window, const ThreadInfo &info) override; BorderSize border_size() const override; private: /** Common signature for all the specialised sub functions * * @param[in] input1 An input tensor. Data types supported: U8/QASYMM8/S16/F16/F32 * @param[in] input2 An input tensor. Data types supported: U8/QASYMM8/S16/F16/F32 * @param[out] output The output tensor. Data types supported: U8/QASYMM8/S16/F16/F32. * @param[in] window Region on which to execute the kernel. */ using SubFunction = void(const ITensor *input1, const ITensor *input2, ITensor *output, const Window &window); /** Sub function to use for the particular tensor types passed to configure() */ SubFunction *_func; const ITensor *_input1; const ITensor *_input2; ITensor *_output; }; } // namespace arm_compute #endif /* ARM_COMPUTE_NEARITHMETICSUBTRACTIONKERNEL_H */