/* * Copyright (c) 2017 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_NEGEMMWINOGRADLAYERKERNEL_H__ #define __ARM_COMPUTE_NEGEMMWINOGRADLAYERKERNEL_H__ #include "arm_compute/core/NEON/INEKernel.h" #include "arm_compute/core/NEON/kernels/winograd/winograd_shim_nchw.hpp" namespace arm_compute { class ITensor; class NEWinogradLayerKernel : public INEKernel { public: using Winograd3x3F32 = winograd_shim_nchw::Winograd2x2_3x3GEMM; /** Constructor */ NEWinogradLayerKernel(); /** Prevent instances of this class from being copied (As this class contains pointers) */ NEWinogradLayerKernel(const NEWinogradLayerKernel &) = delete; /** Prevent instances of this class from being copied (As this class contains pointers) */ NEWinogradLayerKernel &operator=(const NEWinogradLayerKernel &) = delete; /** Allow instances of this class to be moved */ NEWinogradLayerKernel(NEWinogradLayerKernel &&) = default; /** Allow instances of this class to be moved */ NEWinogradLayerKernel &operator=(NEWinogradLayerKernel &&) = default; virtual ~NEWinogradLayerKernel() = default; /** Initialise the kernel * * @param[in,out] output Output tensor to store the result of matrix multiplication. * @param[in] convolver A pointer to the winograd convolver, this object must have been configured and is ready to execute 16 GEMMS . */ void configure(ITensor *output, Winograd3x3F32 *convolver); // Inherited methods overridden: void run(const Window &window, const ThreadInfo &info) override; protected: Winograd3x3F32 *_convolver; ITensor *_output; }; } // namespace arm_compute #endif /*__ARM_COMPUTE_NEGEMMWINOGRADLAYERKERNEL_H__*/