diff options
Diffstat (limited to 'src/core/NEON/kernels/convolution/winograd/transforms/output_2_7_fp32.cpp')
| -rw-r--r-- | src/core/NEON/kernels/convolution/winograd/transforms/output_2_7_fp32.cpp | 163 |
1 files changed, 0 insertions, 163 deletions
diff --git a/src/core/NEON/kernels/convolution/winograd/transforms/output_2_7_fp32.cpp b/src/core/NEON/kernels/convolution/winograd/transforms/output_2_7_fp32.cpp deleted file mode 100644 index ea842a45ee..0000000000 --- a/src/core/NEON/kernels/convolution/winograd/transforms/output_2_7_fp32.cpp +++ /dev/null @@ -1,163 +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. - */ - -#include "arm_compute/core/NEON/kernels/convolution/winograd/transforms/output.hpp" -#include "arm_compute/core/NEON/kernels/convolution/winograd/winograd_output_transform.hpp" -#include "arm_compute/core/NEON/kernels/convolution/common/arm.hpp" - -namespace -{ - -template <bool Specialized, int PadRight=0> -void winograd_output_transform_2_7_fp32_process_tile( - const int n_channels, - const float* const matrix_base, - const int matrix_stride, - const float* const biases, - float* const output, - const int output_row_stride, - const int output_col_stride, - const int _pad_bottom, - const int _pad_right -) -{ - (void) output_row_stride; - (void) _pad_bottom; - constexpr int output_tile_cols = 2; - constexpr int inner_tile_cols = 8; - - const int pad_right = Specialized ? PadRight : _pad_right; - const int cells_j = output_tile_cols - pad_right; - - - // Construct a map to the output cells - float *outptrs[cells_j]; - for (int j = 0; j < cells_j; j++) - { - outptrs[j] = output + j*output_col_stride; - } - const float *inptr = matrix_base; - const float *bptr = biases; - - // For each channel of the output - int channels_remaining = n_channels; -#ifdef __arm_any__ - for (; channels_remaining >= 4; channels_remaining -= 4) - { - // Matrices used and computed during this transform - float32x4_t F[inner_tile_cols], f[output_tile_cols], b = vdupq_n_f32(0.0f); - - // Read a 1x8 tile in the Winograd domain - for (int j = 0; j < inner_tile_cols; j++) - { - F[j] = vld1q_f32(inptr + j*matrix_stride); - } - inptr += 4; - - f[0] = vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmulq_n_f32(F[6], 1), F[5], 1), F[4], 1), F[3], 1), F[2], 1), F[1], 1), F[0], 1); - f[1] = vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmulq_n_f32(F[7], 1), F[2], 1), F[6], 3), F[4], 2), F[3], -2), F[5], -3), F[1], -1); - - // Write out the output tile - if (bptr != 0) - { - b = vld1q_f32(bptr); - bptr += 4; - } - for (int j = 0; j < cells_j; j++) - { - vst1q_f32(outptrs[j], f[j] + b); - outptrs[j] += 4; - } - } - for (; channels_remaining >= 2; channels_remaining -= 2) - { - // Matrices used and computed during this transform - float32x2_t F[inner_tile_cols], f[output_tile_cols], b = vdup_n_f32(0.0f); - - // Read a 1x8 tile in the Winograd domain - for (int j = 0; j < inner_tile_cols; j++) - { - F[j] = vld1_f32(inptr + j*matrix_stride); - } - inptr += 2; - - f[0] = vmla_n_f32(vmla_n_f32(vmla_n_f32(vmla_n_f32(vmla_n_f32(vmla_n_f32(vmul_n_f32(F[6], 1), F[5], 1), F[4], 1), F[3], 1), F[2], 1), F[1], 1), F[0], 1); - f[1] = vmla_n_f32(vmla_n_f32(vmla_n_f32(vmla_n_f32(vmla_n_f32(vmla_n_f32(vmul_n_f32(F[7], 1), F[2], 1), F[6], 3), F[4], 2), F[3], -2), F[5], -3), F[1], -1); - - // Write out the output tile - if (bptr != 0) - { - b = vld1_f32(bptr); - bptr += 2; - } - for (int j = 0; j < cells_j; j++) - { - vst1_f32(outptrs[j], f[j] + b); - outptrs[j] += 2; - } - } -#endif // __arm_any__ - for (; channels_remaining; channels_remaining--) - { - // Matrices used and computed during this transform - float F[inner_tile_cols], f[output_tile_cols], b = 0.0f; - - // Read a 1x8 tile in the Winograd domain - for (int j = 0; j < inner_tile_cols; j++) - { - F[j] = *(inptr + j*matrix_stride); - } - inptr++; - - f[0] = F[0]*1 + F[1]*1 + F[2]*1 + F[3]*1 + F[4]*1 + F[5]*1 + F[6]*1; - f[1] = F[1]*-1 + F[5]*-3 + F[3]*-2 + F[4]*2 + F[6]*3 + F[2]*1 + F[7]*1; - - // Write out the output tile - if (bptr != 0) - { - b = *(bptr++); - } - for (int j = 0; j < cells_j; j++) - { - *(outptrs[j]++) = f[j] + b; - } - } -} -} // namespace (anonymous) - -namespace winograd -{ -using Tiles = OutputTransformImplTiles<1, 7, 1, 8, float>; - -template <> -const Tiles::TileFn Tiles::tilefn_unpadded = winograd_output_transform_2_7_fp32_process_tile<true>; - -template <> -const Tiles::TileFn Tiles::tilefn_right_padded[n_pad_right] = { - winograd_output_transform_2_7_fp32_process_tile<true, 1> -}; - -template class OutputTransform<1, 7, 1, 8, float>; -template class OutputTransform<7, 1, 8, 1, float>; -} // namespace winograd |