| /* |
| * 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. |
| */ |
| |
| #include "arm.hpp" |
| #include "kernel.hpp" |
| |
| namespace winograd |
| { |
| |
| template <> |
| void WeightTransform<1, 7, 1, 8, float, float, WinogradRoots::Integers>::execute( |
| const int n_output_channels, |
| const int n_input_channels, |
| const float* const input, // NOTE: Data in HWIO order |
| float* const output, |
| const int matrix_stride, |
| const int matrix_row_stride |
| ) |
| { |
| // Get pointers to each cell of the weight tensor |
| const auto weight_col_stride = n_input_channels * n_output_channels; |
| const float *inptrs[kernel_cols]; |
| for (int j = 0; j < kernel_cols; j++) |
| { |
| inptrs[j] = input + j*weight_col_stride; |
| } |
| |
| // For each input channel |
| for (int ic = 0; ic < n_input_channels; ic++) |
| { |
| float *outptr = output + ic * matrix_row_stride; |
| |
| // For each output channel |
| int channels_remaining = n_output_channels; |
| for (; channels_remaining; channels_remaining--) |
| { |
| // Matrices used and computed in this kernel |
| float w[kernel_cols], V[inner_tile_cols]; |
| |
| // Read weights |
| for (int j = 0; j < kernel_cols; j++) |
| { |
| w[j] = *(inptrs[j]++); |
| } |
| |
| // Compute V = w WT |
| V[0] = (w[0]*-1) / 36.0f; |
| V[1] = (w[1]*-1 + w[3]*-1 + w[5]*-1 + w[0]*1 + w[2]*1 + w[4]*1 + w[6]*1) / 48.0f; |
| V[2] = (w[0]*1 + w[1]*1 + w[2]*1 + w[3]*1 + w[4]*1 + w[5]*1 + w[6]*1) / 48.0f; |
| V[3] = (w[0]*-1 + w[6]*-64 + w[4]*-16 + w[2]*-4 + w[1]*2 + w[3]*8 + w[5]*32) / 120.0f; |
| V[4] = (w[0]*-1 + w[6]*-64 + w[5]*-32 + w[4]*-16 + w[3]*-8 + w[2]*-4 + w[1]*-2) / 120.0f; |
| V[5] = (w[5]*-243 + w[3]*-27 + w[1]*-3 + w[2]*9 + w[4]*81 + w[6]*729 + w[0]*1) / 720.0f; |
| V[6] = (w[1]*3 + w[2]*9 + w[3]*27 + w[4]*81 + w[5]*243 + w[6]*729 + w[0]*1) / 720.0f; |
| V[7] = (w[6]*1) / 1.0f; |
| |
| // Store the transformed weights |
| for (int j = 0; j < inner_tile_cols; j++) |
| { |
| *(outptr + j*matrix_stride) = V[j]; |
| } |
| outptr++; |
| } |
| } |
| } |
| |
| template class WeightTransform<1, 7, 1, 8, float, float, WinogradRoots::Integers>; |
| template class WeightTransform<7, 1, 8, 1, float, float, WinogradRoots::Integers>; |
| |
| } // namespace winograd |