diff options
Diffstat (limited to 'arm_compute/core/NEON/kernels/convolution/winograd/winograd_output_transform.hpp')
-rw-r--r-- | arm_compute/core/NEON/kernels/convolution/winograd/winograd_output_transform.hpp | 232 |
1 files changed, 232 insertions, 0 deletions
diff --git a/arm_compute/core/NEON/kernels/convolution/winograd/winograd_output_transform.hpp b/arm_compute/core/NEON/kernels/convolution/winograd/winograd_output_transform.hpp new file mode 100644 index 0000000000..07a0b8666a --- /dev/null +++ b/arm_compute/core/NEON/kernels/convolution/winograd/winograd_output_transform.hpp @@ -0,0 +1,232 @@ +/* + * Copyright (c) 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. + */ + +#pragma once + +namespace winograd +{ + + +namespace +{ + +template <int KernelRows, int KernelCols, int InnerTileRows, int InnerTileCols, typename T> +class OutputTransformImplTiles +{ + public: + typedef void (*TileFn)( + const int n_channels, /** @param[in] Number of channels in output tensor */ + const T* const matrix_base, /** @param[in] Base pointer to Winograd output matrices. */ + const int matrix_stride, /** @param[in] Stride between matrices in the output space. */ + const T* const biases, /** @param[in] Pointer to bias vector (may be nullptr). */ + T* const output, /** @param[out] Pointer to output tensor. */ + const int output_row_stride, /** @param[in] Stride across rows of the output tensor. */ + const int output_col_stride, /** @param[in] Stride between columns of the output tensor. */ + const int _pad_bottom, /** @param[in] Bottom padding for unspecialised tiles. */ + const int _pad_right /** @param[in] Right padding for unspecialised tiles. */ + ); + + static TileFn get_tile_specialization( + const int pad_bottom, + const int pad_right + ); + + static constexpr unsigned int OutputTileRows = InnerTileRows - KernelRows + 1; + static constexpr unsigned int OutputTileCols = InnerTileCols - KernelCols + 1; + + private: + static constexpr unsigned int n_pad_bottom = OutputTileRows - 1; + static constexpr unsigned int n_pad_right = OutputTileCols - 1; + + static const TileFn tilefn_generic; /** Generic tile processing function. */ + static const TileFn tilefn_unpadded; /** Tile processor for unpadded tiles. */ + static const TileFn tilefn_bottom_padded[n_pad_bottom]; /** Bottom padding only. */ + static const TileFn tilefn_right_padded[n_pad_right]; /** Right padding only. */ +}; + +template <int KernelCols, int InnerTileCols, typename T> +class OutputTransformImplTiles<1, KernelCols, 1, InnerTileCols, T> +{ + public: + typedef void (*TileFn)( + const int n_channels, /** @param[in] Number of channels in output tensor */ + const T* const matrix_base, /** @param[in] Base pointer to Winograd output matrices. */ + const int matrix_stride, /** @param[in] Stride between matrices in the output space. */ + const T* const biases, /** @param[in] Pointer to bias vector (may be nullptr). */ + T* const output, /** @param[out] Pointer to output tensor. */ + const int output_row_stride, /** @param[in] Stride across rows of the output tensor. */ + const int output_col_stride, /** @param[in] Stride between columns of the output tensor. */ + const int _pad_bottom, /** @param[in] Bottom padding for unspecialised tiles. */ + const int _pad_right /** @param[in] Right padding for unspecialised tiles. */ + ); + + static TileFn get_tile_specialization( + const int pad_bottom, + const int pad_right + ); + + static constexpr unsigned int OutputTileRows = 1; + static constexpr unsigned int OutputTileCols = InnerTileCols - KernelCols + 1; + + private: + static constexpr unsigned int n_pad_right = OutputTileCols - 1; + + static const TileFn tilefn_unpadded; /** Tile processor for unpadded tiles. */ + static const TileFn tilefn_right_padded[n_pad_right]; /** Right padding only. */ +}; + +template <int KernelRows, int KernelCols, int InnerTileRows, int InnerTileCols, typename T> +class OutputTransformImpl +{ + private: + static void process_tile_row( + const int tile_N, + const int n_channels, + const T* const matrix_base, + const int matrix_stride, + const int matrix_row_stride, + const T* const biases, + T* const output, + const int output_row_stride, + const int output_col_stride, + const int row_pad_bottom, + const int row_pad_right + ); + + using Tiles = OutputTransformImplTiles< + KernelRows, KernelCols, InnerTileRows, InnerTileCols, T + >; + + public: + /** Apply the output transform to a tensor. */ + static void execute( + const int n_batches, + const int out_batch_stride, + const int n_rows, + const int out_row_stride, + const int n_cols, + const int out_col_stride, + const int n_channels, + const T* const matrix_base, + const int matrix_stride, + const int matrix_row_stride, + const T* const biases, + T* const output + ); + + static constexpr unsigned int OutputTileRows = Tiles::OutputTileRows; + static constexpr unsigned int OutputTileCols = Tiles::OutputTileCols; +}; + +template <int KernelRows, int InnerTileRows, typename T> +class OutputTransformImpl<KernelRows, 1, InnerTileRows, 1, T> +{ + public: + /** Apply the output transform to a tensor. */ + static void execute( + const int n_batches, + const int out_batch_stride, + const int n_rows, + const int out_row_stride, + const int n_cols, + const int out_col_stride, + const int n_channels, + const T* const matrix_base, + const int matrix_stride, + const int matrix_row_stride, + const T* const biases, + T* const output + ); + + static constexpr unsigned int OutputTileRows = InnerTileRows - KernelRows + 1; + static constexpr unsigned int OutputTileCols = 1; +}; + +} // namespace (anonymous) + +template <int KernelRows, int KernelCols, int InnerTileRows, int InnerTileCols, typename T> +class OutputTransform +{ + public: + /***********************************************************************/ + /** Create an OutputTransform operator fixed on a given problem and set + * of pointers. + */ + OutputTransform( + const T* const matrix_base, /** Pointer to base of matrices. */ + const int matrix_stride, /** Stride between matrices. */ + const int matrix_row_stride, /** Stride within a matrix. */ + const T* const biases, /** Pointer to biases vector. */ + T* const output, /** Pointer to output tensor. */ + const int n_batches, /** Number of batches in output tensor. */ + const int n_rows, /** Number of rows in output tensor. */ + const int n_cols, /** Number of columns in output tensor. */ + const int n_channels, /** Number of channels in output tensor. */ + const int out_batch_stride=0, /** Output batch stride. */ + const int out_row_stride=0, /** Output row stride. */ + const int out_col_stride=0 /** Output column stride. */ + ); + + /** Get the window of work a given operator can perform. */ + unsigned int get_window() const; + static constexpr unsigned int WINDOW_BLOCK = 16; // Base size of window + + /** Perform work upon a window of the input. */ + void run(const unsigned int start, const unsigned int stop); + + /** Apply the transform to create a tensor. */ + static void execute( + const int n_batches, + const int out_batch_stride, + const int n_rows, + const int out_row_stride, + const int n_cols, + const int out_col_stride, + const int n_channels, + const T* const matrix_base, + const int matrix_stride, + const int matrix_row_stride, + const T* const biases, + T* const output + ); + + private: + using Transform = OutputTransformImpl< + KernelRows, KernelCols, InnerTileRows, InnerTileCols, T + >; + + static constexpr unsigned int OutputTileRows = Transform::OutputTileRows; + static constexpr unsigned int OutputTileCols = Transform::OutputTileCols; + + /** Member constants for instances of the transform. */ + const T* const _matrix_base; + const T* const _biases; + const int _matrix_stride, _matrix_row_stride; + T* const _outptr; + const int _n_batches, _n_rows, _n_cols, _n_channels, _tile_M, _tile_N; + const int _out_col_stride, _out_row_stride, _out_batch_stride; +}; + +} // namespace winograd + |