| /* |
| * Copyright (c) 2017, 2018 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. |
| */ |
| #include "arm_compute/core/NEON/kernels/NEWinogradLayerKernel.h" |
| |
| #include "arm_compute/core/Error.h" |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/ITensor.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "support/ToolchainSupport.h" |
| |
| #include "src/core/NEON/kernels/winograd/winograd_gemm.hpp" |
| |
| namespace |
| { |
| using T = winograd::Winograd2x2_3x3GEMM<float, float>; |
| } // namespace |
| |
| namespace arm_compute |
| { |
| class Winograd3x3F32::Private |
| { |
| public: |
| Private(const KernelShape &kernel_shape, const Tensor4DShape input_shape, const PaddingType padding_type, void *kernel_storage) |
| : convolver(kernel_shape, input_shape, padding_type, kernel_storage) |
| { |
| } |
| |
| T convolver; |
| }; |
| |
| Winograd3x3F32::~Winograd3x3F32() |
| { |
| } |
| |
| void Winograd3x3F32::transform_weights(const void *const kernel, void *transform_working_space) |
| { |
| _pimpl->convolver.transform_weights(reinterpret_cast<const float *>(kernel), transform_working_space); |
| } |
| |
| void Winograd3x3F32::reshape_input(const Tensor4DShape &input_shape, const PaddingType padding_type, const void *const input, void *working_space) |
| { |
| _pimpl->convolver.reshape_input(input_shape, padding_type, reinterpret_cast<const float *>(input), working_space); |
| } |
| |
| void Winograd3x3F32::reshape_output(const Tensor4DShape &input_shape, const PaddingType padding_type, void *const output) |
| { |
| #if defined(__aarch64__) |
| _pimpl->convolver.reshape_output(input_shape, padding_type, reinterpret_cast<float *const>(output)); |
| #else /* __aarch64__ */ |
| ARM_COMPUTE_UNUSED(input_shape); |
| ARM_COMPUTE_UNUSED(padding_type); |
| ARM_COMPUTE_UNUSED(output); |
| ARM_COMPUTE_ERROR("Not implemented"); |
| #endif /* __aarch64__ */ |
| } |
| |
| Winograd3x3F32::Winograd3x3F32(const KernelShape &kernel_shape, const Tensor4DShape input_shape, const PaddingType padding_type, void *kernel_storage) |
| : _pimpl(support::cpp14::make_unique<Private>(kernel_shape, input_shape, padding_type, kernel_storage)) |
| { |
| } |
| |
| size_t NEWinogradLayerKernel::get_kernel_storage_size(const KernelShape &shape) |
| { |
| return T::get_kernel_storage_size(shape); |
| } |
| |
| size_t NEWinogradLayerKernel::get_working_space_size(const Tensor4DShape &input_shape, const KernelShape &k_shape, const PaddingType padding) |
| { |
| return T::get_working_space_size(input_shape, k_shape, padding); |
| } |
| |
| size_t NEWinogradLayerKernel::get_kernel_transform_working_size(const KernelShape &shape) |
| { |
| return T::get_kernel_transform_working_size(shape); |
| } |
| |
| NEWinogradLayerKernel::NEWinogradLayerKernel() |
| : _convolver(nullptr) |
| { |
| } |
| |
| void NEWinogradLayerKernel::configure(Winograd3x3F32 *convolver) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(convolver); |
| _convolver = convolver; |
| Window win; |
| win.set(Window::DimX, Window::Dimension(0, 15, 1)); |
| INEKernel::configure(win); |
| } |
| |
| void NEWinogradLayerKernel::run(const Window &window, const ThreadInfo &info) |
| { |
| ARM_COMPUTE_UNUSED(info); |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| const size_t first_gemm = window.x().start(); |
| const size_t last_gemm = window.x().end(); |
| _convolver->_pimpl->convolver.execute(first_gemm, last_gemm); |
| } |
| } // namespace arm_compute |