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Diffstat (limited to 'src/core/NEON/kernels/convolution/winograd/winograd_transforms/output.hpp')
| -rw-r--r-- | src/core/NEON/kernels/convolution/winograd/winograd_transforms/output.hpp | 252 |
1 files changed, 0 insertions, 252 deletions
diff --git a/src/core/NEON/kernels/convolution/winograd/winograd_transforms/output.hpp b/src/core/NEON/kernels/convolution/winograd/winograd_transforms/output.hpp deleted file mode 100644 index c1fb559b1d..0000000000 --- a/src/core/NEON/kernels/convolution/winograd/winograd_transforms/output.hpp +++ /dev/null @@ -1,252 +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 "winograd.hpp" -#include "padding.hpp" -#include "utils.hpp" - -#define MEMBERFN(RTYPE) template<\ - int KernelRows, int KernelCols, int InnerTileRows, int InnerTileCols,\ - typename TIn, typename TOut, WinogradRoots Roots\ -> RTYPE OutputTransform<KernelRows, KernelCols, InnerTileRows, InnerTileCols, TIn, TOut, Roots> - -#define Nx1MEMBERFN(RTYPE) template<\ - int KernelRows, int InnerTileRows, typename TIn, typename TOut, WinogradRoots Roots\ -> RTYPE OutputTransform<KernelRows, 1, InnerTileRows, 1, TIn, TOut, Roots> - -namespace winograd -{ - -MEMBERFN() -::OutputTransform(const int n_batches, const int n_rows, const int n_cols, - const int n_channels, const arm_gemm::Activation &activation) - : _n_batches(n_batches), _n_rows(n_rows), _n_cols(n_cols), - _n_channels(n_channels), - _output_min((activation.type == arm_gemm::Activation::Type::ReLU || - activation.type == arm_gemm::Activation::Type::BoundedReLU) - ? static_cast<TOut>(0.0f) : TypeBounds<TOut>::lower()), - _output_max((activation.type == arm_gemm::Activation::Type::BoundedReLU) - ? static_cast<TOut>(activation.param1) : TypeBounds<TOut>::upper()), - _matrix_base(nullptr), _biases(nullptr), _matrix_stride(0), - _matrix_row_stride(0), _matrix_batch_stride(0), _outptr(nullptr), - _tiles_M(iceildiv(n_rows, output_tile_rows)), - _tiles_N(iceildiv(n_cols, output_tile_cols)), _out_col_stride(0), - _out_row_stride(0), _out_batch_stride(0), - _working_space_col_stride(n_channels), - _working_space_row_stride(output_tile_cols * _working_space_col_stride), - _working_space(nullptr) {} - -MEMBERFN(void)::set_input_matrices(const void * const mptr, const int ldmatrix, const int ldrow) -{ - _matrix_base = static_cast<const TIn *>(mptr); - _matrix_stride = ldmatrix; - _matrix_row_stride = ldrow; - _matrix_batch_stride = _tiles_M * _tiles_N * ldrow; -} - -MEMBERFN(void)::set_bias(const void * const bias) -{ - _biases = static_cast<const TOut *>(bias); -} - -MEMBERFN(void)::set_output_tensor(void * const outptr) -{ - set_output_tensor(outptr, _n_channels); -} - -MEMBERFN(void)::set_output_tensor(void * const outptr, const int ldcol) -{ - set_output_tensor(outptr, _n_cols * ldcol, ldcol); -} - -MEMBERFN(void)::set_output_tensor(void * const outptr, const int ldrow, const int ldcol) -{ - set_output_tensor(outptr, _n_rows * ldrow, ldrow, ldcol); -} - -MEMBERFN(void)::set_output_tensor(void * const outptr, const int ldbatch, const int ldrow, const int ldcol) -{ - _outptr = static_cast<TOut *>(outptr); - _out_batch_stride = ldbatch; - _out_row_stride = ldrow; - _out_col_stride = ldcol; -} - -Nx1MEMBERFN()::OutputTransform( - const int n_batches, - const int n_rows, - const int n_cols, - const int n_channels, - const arm_gemm::Activation &activation -) : OutputTransform<1, KernelRows, 1, InnerTileRows, TIn, TOut, Roots>::OutputTransform( - n_batches, n_cols, n_rows, n_channels, activation /* Transpose rows and columns */ - ) -{ -} - -Nx1MEMBERFN(void)::set_output_tensor(void * const outptr) -{ - set_output_tensor(outptr, this->_n_channels); -} - -Nx1MEMBERFN(void)::set_output_tensor(void * const outptr, const int ldcol) -{ - set_output_tensor(outptr, this->_n_cols * ldcol, ldcol); -} - -Nx1MEMBERFN(void)::set_output_tensor(void * const outptr, const int ldrow, const int ldcol) -{ - set_output_tensor(outptr, this->_n_rows * ldrow, ldrow, ldcol); -} - -Nx1MEMBERFN(void)::set_output_tensor(void * const outptr, const int ldbatch, const int ldrow, const int ldcol) -{ - // Transpose rows and columns - Base::set_output_tensor(outptr, ldbatch, ldcol, ldrow); -} - -MEMBERFN(size_t)::get_working_space_size(const unsigned int nthreads) const -{ - return sizeof(TOut) * output_tile_rows * _working_space_row_stride * nthreads; -} - -MEMBERFN(void)::set_working_space(void * const buffer) -{ - _working_space = static_cast<TOut *>(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; - - const auto matrix_tile_col_stride = _matrix_row_stride; - const auto matrix_tile_row_stride = _tiles_N * matrix_tile_col_stride; - - const TOut* const bptr = (_biases == nullptr) ? nullptr : _biases + start_channel; - - // Loop over batches - for (int batch = 0; batch < _n_batches; batch++) - { - const TIn* const matrix_batch = _matrix_base + start_channel + batch * _matrix_batch_stride; - TOut* const outptr_batch = _outptr + start_channel + batch * _out_batch_stride; - - for (int tile_i = 0; tile_i < _tiles_M; tile_i++) - { - // Compute properties of the row of output tiles - const int row_pad_bottom = std::max(0, (tile_i + 1)*output_tile_rows - _n_rows); - const TIn* const matrix_tile_row = matrix_batch + tile_i * matrix_tile_row_stride; - TOut* const outptr_row = outptr_batch + tile_i * output_tile_rows * _out_row_stride; - - for (int tile_j = 0; tile_j < _tiles_N; tile_j++) - { - // Compute property of this specific tile - const int tile_pad_right = std::max(0, (tile_j + 1)*output_tile_cols - _n_cols); - const TIn* const matrix_tile = matrix_tile_row + tile_j * matrix_tile_col_stride; - TOut* const outptr_tile = outptr_row + tile_j * output_tile_cols * _out_col_stride; - - // Perform the transformation - if (row_pad_bottom || tile_pad_right) - { - transform_cropped_tile( - threadid, n_channels, outptr_tile, matrix_tile, bptr, - row_pad_bottom, tile_pad_right - ); - } - else - { - transform_uncropped_tile( - threadid, n_channels, outptr_tile, matrix_tile, bptr - ); - } - } - } - } -} - -MEMBERFN(void)::transform_uncropped_tile( - const unsigned int /* threadid unused */, - const int n_channels, - TOut * const outptr, - const TIn * const inptr, - const TOut * const biases -) -{ - transform_tile( - n_channels, inptr, _matrix_stride, biases, - outptr, _out_row_stride, _out_col_stride, - _output_min, _output_max - ); -} - -MEMBERFN(void)::transform_cropped_tile( - const unsigned int threadid, - const int n_channels, - TOut * const outptr, - const TIn * const inptr, - const TOut * const biases, - const int pad_bottom, - const int pad_right -) -{ - // Transform into working space and then copy the relevant section out. - TOut *wsptr = static_cast<TOut *>(get_working_space(threadid)); - transform_tile( - n_channels, inptr, _matrix_stride, biases, - wsptr, _working_space_row_stride, _working_space_col_stride, - _output_min, _output_max - ); - - padding::crop_and_copy_tile( - output_tile_rows, output_tile_cols, n_channels, - wsptr, _working_space_row_stride, _working_space_col_stride, - outptr, _out_row_stride, _out_col_stride, - 0u, 0u, pad_bottom, pad_right - ); -} - -MEMBERFN(void *)::get_working_space(const unsigned int threadid) const -{ - return _working_space + output_tile_rows * _working_space_row_stride * threadid; -} - -} // namespace winograd |