diff options
Diffstat (limited to 'src/core/NEON/kernels/winograd/shims.hpp')
| -rw-r--r-- | src/core/NEON/kernels/winograd/shims.hpp | 319 |
1 files changed, 0 insertions, 319 deletions
diff --git a/src/core/NEON/kernels/winograd/shims.hpp b/src/core/NEON/kernels/winograd/shims.hpp deleted file mode 100644 index 249e5757f0..0000000000 --- a/src/core/NEON/kernels/winograd/shims.hpp +++ /dev/null @@ -1,319 +0,0 @@ -/* - * Copyright (c) 2017 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 - -/** Re-order a weight tensor from [Output feature map x Input feature map x - * Height x Width] format to [Height x Width x Input feature map x Output - * feature map] format. - */ -template <typename T> -inline void ofm_ifm_h_w_to_h_w_ifm_ofm( - const T* const in, // Input in [Output x Input x Height x Width] form - T* const out, // Output in [Height x Width x Input x Output] form - const int n_output_feature_maps, - const int n_input_feature_maps, - const int n_rows, - const int n_cols, - int in_output_feature_map_stride=0, - int in_input_feature_map_stride=0, - int in_row_stride=0, - int out_row_stride=0, - int out_col_stride=0, - int out_input_feature_map_stride=0 -); - -/** Re-order a weight tensor from [Height x Width x Input feature map x Output - * feature map] format to [Output feature map x Input feature map x Height x - * Width] format. - */ -template <typename T> -inline void h_w_ifm_ofm_to_ofm_ifm_h_w( - const T* const in, // Input in [Height x Width x Input x Output] form - T* const out, // Output in [Output x Input x Height x Width] form - const int n_rows, - const int n_cols, - const int n_input_feature_maps, - const int n_output_feature_maps, - int in_row_stride=0, - int in_col_stride=0, - int in_input_feature_map_stride=0, - int out_output_feature_map_stride=0, - int out_input_feature_map_stride=0, - int out_row_stride=0 -); - - -/* Re-order a tensor from NCHW format to NHWC. - */ -template <typename T> -inline void nchw_to_nhwc( - const T* const in, - T* const out, - const int n_batches, - const int n_channels, - const int n_rows, - const int n_cols, - int in_batch_stride=0, - int in_channel_stride=0, - int in_row_stride=0, - int out_batch_stride=0, - int out_row_stride=0, - int out_col_stride=0 -) -{ - // Fill in the stride values - in_row_stride = (in_row_stride) ? in_row_stride : n_cols; - in_channel_stride = (in_channel_stride) ? in_channel_stride - : n_rows * in_row_stride; - in_batch_stride = (in_batch_stride) ? in_batch_stride - : n_channels * in_channel_stride; - - out_col_stride = (out_col_stride) ? out_col_stride : n_channels; - out_row_stride = (out_row_stride) ? out_row_stride : n_cols * out_col_stride; - out_batch_stride = (out_batch_stride) ? out_batch_stride - : n_rows * out_row_stride; - - // Perform the re-ordering - for (int n = 0; n < n_batches; n++) - { - const T* const in_batch = in + n*in_batch_stride; - T* const out_batch = out + n*out_batch_stride; - - for (int i = 0; i < n_rows; i++) - { - const T* const in_row = in_batch + i*in_row_stride; - T* const out_row = out_batch + i*out_row_stride; - - for (int j = 0; j < n_cols; j++) - { - const T* const in_col = in_row + j; - T* const out_col = out_row + j*out_col_stride; - - for (int c = 0; c < n_channels; c++) - { - const T* const in_channel = in_col + c*in_channel_stride; - out_col[c] = *(in_channel); - } - } - } - } -} - -/* Re-order a tensor from NHWC format to NCHW. - */ -template <typename T> -inline void nhwc_to_nchw( - const T* const in, // Input data in NHWC form - T* const out, // Output data in NCHW form - const int n_batches, - const int n_rows, - const int n_cols, - const int n_channels, - int in_batch_stride=0, - int in_row_stride=0, - int in_col_stride=0, - int out_batch_stride=0, - int out_channel_stride=0, - int out_row_stride=0 -) -{ - // Fill in stride values - in_col_stride = (in_col_stride) ? in_col_stride : n_channels; - in_row_stride = (in_row_stride) ? in_row_stride : n_cols * in_col_stride; - in_batch_stride = (in_batch_stride) ? in_batch_stride - : n_rows * in_row_stride; - - out_row_stride = (out_row_stride) ? out_row_stride : n_cols; - out_channel_stride = (out_channel_stride) ? out_channel_stride - : n_rows * out_row_stride; - out_batch_stride = (out_batch_stride) ? out_batch_stride - : n_channels * out_channel_stride; - - // Perform the re-ordering - // For every batch - for (int n = 0; n < n_batches; n++) - { - const T* const in_batch = in + n*in_batch_stride; - T* const out_batch = out + n*out_batch_stride; - - // For every row - for (int i = 0; i < n_rows; i++) - { - const T* const in_i = in_batch + i*in_row_stride; - T* const out_i = out_batch + i*out_row_stride; - - // For every column - for (int j = 0; j < n_cols; j++) - { - const T* const in_j = in_i + j*in_col_stride; - T* const out_j = out_i + j; - - // For every channel - for (int c = 0; c < n_channels; c++) - { - const T* const in_channel = in_j + c; - T* const out_channel = out_j + c*out_channel_stride; - *(out_channel) = *(in_channel); - } - } - } - } -} - - -/*****************************************************************************/ -/* Generic weight re-order implementation. - */ -template <typename T> -inline void ofm_ifm_h_w_to_h_w_ifm_ofm( - const T* const in, // Input in [Output x Input x Height x Width] form - T* const out, // Output in [Height x Width x Input x Output] form - const int n_output_feature_maps, - const int n_input_feature_maps, - const int n_rows, - const int n_cols, - int in_output_feature_map_stride, - int in_input_feature_map_stride, - int in_row_stride, - int out_row_stride, - int out_col_stride, - int out_input_feature_map_stride -) -{ - // Fill in stride values - in_row_stride = (in_row_stride) - ? in_row_stride - : n_cols; - in_input_feature_map_stride = (in_input_feature_map_stride) - ? in_input_feature_map_stride - : n_rows * in_row_stride; - in_output_feature_map_stride = (in_output_feature_map_stride) - ? in_output_feature_map_stride - : n_input_feature_maps * in_input_feature_map_stride; - - out_input_feature_map_stride = (out_input_feature_map_stride) - ? out_input_feature_map_stride - : n_output_feature_maps; - out_col_stride = (out_col_stride) - ? out_col_stride - : n_input_feature_maps * out_input_feature_map_stride; - out_row_stride = (out_row_stride) - ? out_row_stride - : n_cols * out_col_stride; - - // Perform the re-ordering - for (int i = 0; i < n_rows; i++) - { - const T* const in_row = in + i * in_row_stride; - T* out_row = out + i * out_row_stride; - - for (int j = 0; j < n_cols; j++) - { - const T* const in_col = in_row + j; - T* const out_col = out_row + j * out_col_stride; - - for (int ifm = 0; ifm < n_input_feature_maps; ifm++) - { - const T* const in_ifm = in_col + ifm * in_input_feature_map_stride; - T* const out_ifm = out_col + ifm * out_input_feature_map_stride; - - for (int ofm = 0; ofm < n_output_feature_maps; ofm++) - { - const T* const in_ofm = in_ifm + ofm * in_output_feature_map_stride; - T* const out_ofm = out_ifm + ofm; - *(out_ofm) = *(in_ofm); - } - } - } - } -} - -/*****************************************************************************/ -/* Generic weight re-order implementation. - */ -template <typename T> -inline void h_w_ifm_ofm_to_ofm_ifm_h_w( - const T* const in, // Input in [Height x Width x Input x Output] form - T* const out, // Output in [Output x Input x Height x Width] form - const int n_rows, - const int n_cols, - const int n_input_feature_maps, - const int n_output_feature_maps, - int in_row_stride, - int in_col_stride, - int in_input_feature_map_stride, - int out_output_feature_map_stride, - int out_input_feature_map_stride, - int out_row_stride -) -{ - // Fill in the stride values - in_input_feature_map_stride = (in_input_feature_map_stride) - ? in_input_feature_map_stride - : n_output_feature_maps; - in_col_stride = (in_col_stride) - ? in_col_stride - : n_input_feature_maps * in_input_feature_map_stride; - in_row_stride = (in_row_stride) - ? in_row_stride - : n_cols * in_col_stride; - - out_row_stride = (out_row_stride) - ? out_row_stride - : n_cols; - out_input_feature_map_stride = (out_input_feature_map_stride) - ? out_input_feature_map_stride - : n_rows * out_row_stride; - out_output_feature_map_stride = (out_output_feature_map_stride) - ? out_output_feature_map_stride - : n_input_feature_maps * out_input_feature_map_stride; - - // Perform the re-ordering - for (int i = 0; i < n_rows; i++) - { - const T* const in_row = in + i * in_row_stride; - T* const out_row = out + i * out_row_stride; - - for (int j = 0; j < n_cols; j++) - { - const T* const in_col = in_row + j * in_col_stride; - T* const out_col = out_row + j; - - for (int ifm = 0; ifm < n_input_feature_maps; ifm++) - { - const T* const in_ifm = in_col + ifm * in_input_feature_map_stride; - T* const out_ifm = out_col + ifm * out_input_feature_map_stride; - - for (int ofm = 0; ofm < n_output_feature_maps; ofm++) - { - const T* const in_ofm = in_ifm + ofm; - T* const out_ofm = out_ifm + ofm * out_output_feature_map_stride; - *(out_ofm) = *(in_ofm); - } - } - } - } -} - |