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Diffstat (limited to 'src/core/NEON/kernels/convolution/winograd/winograd_transforms/kernel.hpp')
-rw-r--r-- | src/core/NEON/kernels/convolution/winograd/winograd_transforms/kernel.hpp | 78 |
1 files changed, 78 insertions, 0 deletions
diff --git a/src/core/NEON/kernels/convolution/winograd/winograd_transforms/kernel.hpp b/src/core/NEON/kernels/convolution/winograd/winograd_transforms/kernel.hpp new file mode 100644 index 0000000000..e45f1863e3 --- /dev/null +++ b/src/core/NEON/kernels/convolution/winograd/winograd_transforms/kernel.hpp @@ -0,0 +1,78 @@ +/* + * Copyright (c) 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. + */ + +#pragma once +#include "winograd.hpp" +using namespace winograd; + +#define MEMBERFN(RTYPE) template <\ + int KernelRows, int KernelCols, int InnerTileRows, int InnerTileCols, typename TIn, typename TOut, WinogradRoots Roots\ +> RTYPE WeightTransform<KernelRows, KernelCols, InnerTileRows, InnerTileCols, TIn, TOut, Roots> + +MEMBERFN()::WeightTransform( + const int n_output_channels, + const int n_input_channels +) : _n_output_channels(n_output_channels), _n_input_channels(n_input_channels), + _matrices(nullptr), _matrix_stride(0), _matrix_row_stride(0), _weights(nullptr) +{ + +} + +MEMBERFN(void)::set_weight_tensor(const void * const weights) +{ + _weights = static_cast<const TIn *>(weights); +} + +MEMBERFN(void)::set_output_matrices(void * const mptr, const int ldmatrix, const int ldrow) +{ + _matrices = static_cast<TOut *>(mptr); + _matrix_stride = ldmatrix; + _matrix_row_stride = ldrow; +} + +MEMBERFN(size_t)::get_working_space_size(unsigned int) const +{ + return 0; +} + +MEMBERFN(void)::set_working_space(void *) +{ +} + +MEMBERFN(unsigned int)::get_window(void) const +{ + // TODO When the weights transform supports multithreading, return the number + // of output channels. For now we return 1 to indicate that the weights must + // be transformed as a single block. + // return n_output_channels; + return 1; +} + +MEMBERFN(void)::run(const unsigned int, const unsigned int, unsigned int) +{ + execute( + _n_output_channels, _n_input_channels, _weights, + _matrices, _matrix_stride, _matrix_row_stride + ); +} |