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Diffstat (limited to 'src/core/NEON/kernels/convolution/winograd/winograd_transforms/input.hpp')
| -rw-r--r-- | src/core/NEON/kernels/convolution/winograd/winograd_transforms/input.hpp | 268 |
1 files changed, 0 insertions, 268 deletions
diff --git a/src/core/NEON/kernels/convolution/winograd/winograd_transforms/input.hpp b/src/core/NEON/kernels/convolution/winograd/winograd_transforms/input.hpp deleted file mode 100644 index c0f50beb2c..0000000000 --- a/src/core/NEON/kernels/convolution/winograd/winograd_transforms/input.hpp +++ /dev/null @@ -1,268 +0,0 @@ -/* - * Copyright (c) 2017-2019 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 <algorithm> - -#include "padding.hpp" -#include "utils.hpp" -#include "winograd.hpp" - -#define MEMBERFN(RTYPE) template <\ - int InnerTileRows, int InnerTileCols,\ - typename TIn, typename TOut, WinogradRoots Roots\ -> RTYPE InputTransform<InnerTileRows, InnerTileCols, TIn, TOut, Roots> - - -#define Nx1MEMBERFN(RTYPE) template <\ - int InnerTileRows, typename TIn, typename TOut, WinogradRoots Roots\ -> RTYPE InputTransform<InnerTileRows, 1, TIn, TOut, Roots> - -namespace winograd -{ - -MEMBERFN()::InputTransform( - const int kernel_rows, - const int kernel_cols, - const int n_batches, - const int n_rows, - const int n_cols, - const int n_channels, - const int padding_top, - const int padding_left, - const int padding_bottom, - const int padding_right -) : _n_batches(n_batches), _n_rows(n_rows), _n_cols(n_cols), _n_channels(n_channels), - _inptr(nullptr), _outptr(nullptr), - _overlap_rows(kernel_rows - 1), _overlap_cols(kernel_cols - 1), - _padding_top(padding_top), _padding_left(padding_left), _padding_bottom(padding_bottom), _padding_right(padding_right), - _tiles_M(iceildiv(padding_top + n_rows + padding_bottom - kernel_rows + 1, InnerTileRows - kernel_rows + 1)), - _tiles_N(iceildiv(padding_left + n_cols + padding_right - kernel_cols + 1, InnerTileCols - kernel_cols + 1)), - _matrix_stride(0), _matrix_row_stride(0), _matrix_batch_stride(0), - _in_col_stride(0), _in_row_stride(0), _in_batch_stride(0), - _working_space_col_stride(n_channels), - _working_space_row_stride(InnerTileCols * _working_space_col_stride), - _working_space(nullptr) -{ -} - -MEMBERFN(void)::set_input_tensor(const void* const inptr) -{ - set_input_tensor(inptr, _n_channels); -} - -MEMBERFN(void)::set_input_tensor(const void* const inptr, const int ldcol) -{ - set_input_tensor(inptr, _n_cols * ldcol, ldcol); -} - -MEMBERFN(void)::set_input_tensor(const void* const inptr, const int ldrow, const int ldcol) -{ - set_input_tensor(inptr, _n_rows * ldrow, ldrow, ldcol); -} - -MEMBERFN(void)::set_input_tensor(const void* const inptr, const int ldbatch, const int ldrow, const int ldcol) -{ - _inptr = static_cast<const TIn *>(inptr); - _in_batch_stride = ldbatch; - _in_row_stride = ldrow; - _in_col_stride = ldcol; -} - -MEMBERFN(void)::set_output_matrices(void * const mptr, const int ldmatrix, const int ldrow) -{ - _outptr = static_cast<TOut *>(mptr); - _matrix_stride = ldmatrix; - _matrix_row_stride = ldrow; - _matrix_batch_stride = _tiles_M * _tiles_N * ldrow; -} - -Nx1MEMBERFN()::InputTransform( - const int kernel_rows, - const int kernel_cols, - const int n_batches, - const int n_rows, - const int n_cols, - const int n_channels, - const int padding_top, - const int padding_left, - const int padding_bottom, - const int padding_right -) : InputTransform<1, InnerTileRows, TIn, TOut, Roots>::InputTransform( - /* Transpose rows and columns */ - kernel_cols, kernel_rows, n_batches, n_cols, n_rows, n_channels, - padding_left, padding_top, padding_right, padding_bottom - ) -{ -} - -Nx1MEMBERFN(void)::set_input_tensor(const void* const inptr) -{ - set_input_tensor(inptr, this->_n_channels); -} - -Nx1MEMBERFN(void)::set_input_tensor(const void* const inptr, const int ldcol) -{ - set_input_tensor(inptr, this->_n_cols * ldcol, ldcol); -} - -Nx1MEMBERFN(void)::set_input_tensor(const void* const inptr, const int ldrow, const int ldcol) -{ - set_input_tensor(inptr, this->_n_rows * ldrow, ldrow, ldcol); -} - -Nx1MEMBERFN(void)::set_input_tensor(const void* const inptr, const int ldbatch, const int ldrow, const int ldcol) -{ - // Transpose row and column strides - Base::set_input_tensor(inptr, ldbatch, ldcol, ldrow); -} - -MEMBERFN(size_t)::get_working_space_size(const unsigned int nthreads) const -{ - return sizeof(TIn) * InnerTileRows * _working_space_row_stride * nthreads; -} - -MEMBERFN(void)::set_working_space(void * const buffer) -{ - _working_space = static_cast<TIn *>(buffer); -} - -MEMBERFN(unsigned int)::get_window(void) const -{ - return iceildiv(_n_channels, WINDOW_BLOCK); -} - -MEMBERFN(void)::run( - const unsigned int start, - const unsigned int stop, - const unsigned int threadid -) -{ - // Determine the channels on which to work - if (start >= get_window()) - { - return; // No work to do beyond the end of the window - } - const unsigned int start_channel = start * WINDOW_BLOCK; - const unsigned int stop_channel = std::min<unsigned int>(_n_channels , stop * WINDOW_BLOCK); - const unsigned int n_channels = stop_channel - start_channel; - - // Loop over batches - for (int batch = 0; batch < _n_batches; batch++) - { - const TIn* const inptr_batch = _inptr + start_channel + batch*_in_batch_stride; - TOut* const outptr_batch = _outptr + start_channel + batch*_matrix_batch_stride; - - // Loop over rows of tiles - for (int tile_i = 0; tile_i < _tiles_M; tile_i++) - { - // Compute the starting and ending row of pixels within the row of tiles, - // hence compute the padding to apply to the top and bottom of each tile. - const int row_top = tile_i * (InnerTileRows - _overlap_rows) - _padding_top; - const int row_bottom = row_top + InnerTileRows; - const int row_pad_top = std::max(0, _padding_top - tile_i * (InnerTileRows - _overlap_rows)); - const int row_pad_bottom = std::max(0, row_bottom - _n_rows); - - // Get a pointer to the start of the row. - const int row_offset = std::min(0, row_pad_top - _padding_top); - const TIn* const inptr_row = inptr_batch + _in_row_stride*(row_offset + tile_i*(InnerTileRows - _overlap_rows)); - TOut* const outptr_row = outptr_batch + tile_i*_tiles_N*_matrix_row_stride; - - // Loop over tiles within the row - for (int tile_j = 0; tile_j < _tiles_N; tile_j++) - { - // Compute the starting and ending column of pixels within the tile, - // hence compute the padding to apply to the left and right of the - // tile. - const int tile_left = tile_j * (InnerTileCols - _overlap_cols) - _padding_left; - const int tile_right = tile_left + InnerTileCols; - const int tile_pad_left = std::max(0, _padding_left - tile_j * (InnerTileCols - _overlap_cols)); - const int tile_pad_right = std::max(0, tile_right - _n_cols); - - // Get a pointer to the start of the tile. - const int col_offset = std::min(0, tile_pad_left - _padding_left); - const TIn* const inptr_tile = inptr_row + _in_col_stride*(col_offset + tile_j*(InnerTileCols - _overlap_cols)); - TOut* const outptr_tile = outptr_row + tile_j * _matrix_row_stride; - - // Transform the tile, applying padding if necessary. - if (row_pad_top || tile_pad_left || row_pad_bottom || tile_pad_right) - { - transform_padded_tile( - threadid, n_channels, outptr_tile, inptr_tile, - row_pad_top, tile_pad_left, row_pad_bottom, tile_pad_right - ); - } - else - { - transform_unpadded_tile(threadid, n_channels, outptr_tile, inptr_tile); - } - } - } - } -} - -MEMBERFN(void)::transform_unpadded_tile( - const unsigned int /* threadid unused */, - const int n_channels, - TOut * const outptr, - const TIn * const inptr -) -{ - transform_tile( - n_channels, inptr, _in_row_stride, _in_col_stride, outptr, _matrix_stride - ); -} - -MEMBERFN(void)::transform_padded_tile( - const unsigned int threadid, - const int n_channels, - TOut * const outptr, - const TIn * const inptr, - const int padding_top, - const int padding_left, - const int padding_bottom, - const int padding_right -) -{ - padding::copy_and_pad_tile( - InnerTileRows, InnerTileCols, n_channels, - inptr, _in_row_stride, _in_col_stride, - static_cast<TIn *>(get_working_space(threadid)), _working_space_row_stride, _working_space_col_stride, - padding_top, padding_left, padding_bottom, padding_right - ); - - transform_tile( - n_channels, static_cast<const TIn *>(get_working_space(threadid)), - _working_space_row_stride, _working_space_col_stride, - outptr, _matrix_stride - ); -} - -MEMBERFN(void *)::get_working_space(const unsigned int threadid) const -{ - return _working_space + InnerTileRows * _working_space_row_stride * threadid; -} - -} // namespace winograd |