| /* |
| * 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/tensor.hpp" |
| |
| namespace arm_compute |
| { |
| class ITensor; |
| class NEWinogradLayerKernel; |
| class Winograd3x3F32 |
| { |
| public: |
| friend class NEWinogradLayerKernel; |
| Winograd3x3F32(const KernelShape &kernel_shape, const Tensor4DShape input_shape, const PaddingType padding_type, void *kernel_storage); |
| ~Winograd3x3F32(); |
| std::pair<void *, void *> get_nhwc_ptrs(const Tensor4DShape &input_shape, const PaddingType padding_type, void *working_space); |
| void transform_weights(const void *const kernel, void *transform_working_space); |
| void reshape_input(const Tensor4DShape &input_shape, const PaddingType padding_type, const void *const input, void *working_space); |
| void reshape_output(const Tensor4DShape &input_shape, const PaddingType padding_type, void *const output); |
| void nchw2nhwc(const Tensor4DShape &input_shape, const PaddingType padding_type, void *working_space, const void *const input); |
| void nhwc2nchw(const Tensor4DShape &input_shape, const PaddingType padding_type, void *working_space, void *const output); |
| |
| private: |
| class Private; |
| std::unique_ptr<Private> _pimpl; |
| }; |
| |
| class NEWinogradLayerKernel : public INEKernel |
| { |
| public: |
| /** 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; |
| |
| /* Get the memory required to instantiate a new Winograd operator. |
| */ |
| static size_t get_kernel_storage_size(const KernelShape &shape); |
| |
| /* Get the memory required to apply a Winograd operator to some input. |
| */ |
| static size_t get_working_space_size(const Tensor4DShape &input_shape, const KernelShape &k_shape, const PaddingType padding); |
| |
| /* Get the memory required to transform the kernel. |
| */ |
| static size_t get_kernel_transform_working_size(const KernelShape &shape); |
| |
| protected: |
| Winograd3x3F32 *_convolver; |
| ITensor *_output; |
| }; |
| |
| } // namespace arm_compute |
| #endif /*__ARM_COMPUTE_NEGEMMWINOGRADLAYERKERNEL_H__*/ |