diff options
Diffstat (limited to 'src/core/NEON/kernels/convolution/winograd/transforms/input_1x8_fp32.cpp')
| -rw-r--r-- | src/core/NEON/kernels/convolution/winograd/transforms/input_1x8_fp32.cpp | 261 |
1 files changed, 0 insertions, 261 deletions
diff --git a/src/core/NEON/kernels/convolution/winograd/transforms/input_1x8_fp32.cpp b/src/core/NEON/kernels/convolution/winograd/transforms/input_1x8_fp32.cpp deleted file mode 100644 index e66300d39a..0000000000 --- a/src/core/NEON/kernels/convolution/winograd/transforms/input_1x8_fp32.cpp +++ /dev/null @@ -1,261 +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/input.hpp" -#include "arm_compute/core/NEON/kernels/convolution/winograd/winograd_gemm.hpp" -#include "arm_compute/core/NEON/kernels/convolution/common/arm.hpp" - -namespace -{ - -template <bool Specialized, int PadTop=0, int PadLeft=0, int PadBottom=0, int PadRight=0> -void winograd_input_transform_1x8_fp32_process_tile( - int n_channels, - const float* const input_base, - const int input_row_stride, - const int input_col_stride, - float* const matrix_base, - const int matrix_stride, - const int _pad_top, - const int _pad_left, - const int _pad_bottom, - const int _pad_right -) -{ - (void) input_row_stride; // No rows over which to stride - (void) _pad_top; // Never any top padding - (void) _pad_bottom; // Never any bottom padding - - // Extract padding arguments - const int pad_left = Specialized ? PadLeft : _pad_left; - const int pad_right = Specialized ? PadRight : _pad_right; - - constexpr int inner_tile_cols = 8; - const int cells_j = inner_tile_cols - pad_right; - - float *outptr = matrix_base; - - // Get pointers into the input tile - const float *x_ptrs[inner_tile_cols]; - for (int j = pad_left, xj = 0; j < cells_j; j++, xj++) - { - x_ptrs[j] = input_base + xj*input_col_stride; - } - - // Vectors used/computed in this kernel. - float x[inner_tile_cols]; - float U[inner_tile_cols]; - - for (int j = 0; j < inner_tile_cols; j++) - { - x[j] = 0.0f; - } - - // Perform the Winograd input transformation for each channel in the input - // tensor. - int channels_remaining = n_channels; -#ifdef __arm_any__ - for (; channels_remaining >= 4; channels_remaining -= 4) - { - float32x4_t x[inner_tile_cols], U[inner_tile_cols]; - for (int j = 0; j < inner_tile_cols; j++) - { - x[j] = vdupq_n_f32(0.0f); - } - - // Load x - for (int j = pad_left; j < cells_j; j++) - { - x[j] = vld1q_f32(x_ptrs[j]); - x_ptrs[j] += 4; - } - - // Compute U = x . X - U[0] = vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmulq_n_f32(x[6], 1), x[2], 49), x[4], -14), x[0], -36); - U[1] = vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmulq_n_f32(x[6], 1), x[2], 36), x[3], 13), x[4], -13), x[1], -36), x[5], -1); - U[2] = vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmulq_n_f32(x[6], 1), x[5], 1), x[2], 36), x[1], 36), x[4], -13), x[3], -13); - U[3] = vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmulq_n_f32(x[6], 1), x[3], 20), x[2], 9), x[5], -2), x[4], -10), x[1], -18); - U[4] = vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmulq_n_f32(x[6], 1), x[1], 18), x[2], 9), x[5], 2), x[4], -10), x[3], -20); - U[5] = vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmulq_n_f32(x[6], 1), x[3], 15), x[2], 4), x[5], -3), x[4], -5), x[1], -12); - U[6] = vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmulq_n_f32(x[6], 1), x[1], 12), x[2], 4), x[5], 3), x[4], -5), x[3], -15); - U[7] = vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmulq_n_f32(x[7], 1), x[3], 49), x[5], -14), x[1], -36); - - // Store the transformed vector - for (int j = 0; j < inner_tile_cols; j++) - { - vst1q_f32(outptr + j*matrix_stride, U[j]); - } - outptr += 4; - } - for (; channels_remaining >= 2; channels_remaining -= 2) - { - float32x2_t x[inner_tile_cols], U[inner_tile_cols]; - for (int j = 0; j < inner_tile_cols; j++) - { - x[j] = vdup_n_f32(0.0f); - } - - // Load x - for (int j = pad_left; j < cells_j; j++) - { - x[j] = vld1_f32(x_ptrs[j]); - x_ptrs[j] += 2; - } - - // Compute U = x . X - U[0] = vmla_n_f32(vmla_n_f32(vmla_n_f32(vmul_n_f32(x[6], 1), x[2], 49), x[4], -14), x[0], -36); - U[1] = vmla_n_f32(vmla_n_f32(vmla_n_f32(vmla_n_f32(vmla_n_f32(vmul_n_f32(x[6], 1), x[2], 36), x[3], 13), x[4], -13), x[1], -36), x[5], -1); - U[2] = vmla_n_f32(vmla_n_f32(vmla_n_f32(vmla_n_f32(vmla_n_f32(vmul_n_f32(x[6], 1), x[5], 1), x[2], 36), x[1], 36), x[4], -13), x[3], -13); - U[3] = vmla_n_f32(vmla_n_f32(vmla_n_f32(vmla_n_f32(vmla_n_f32(vmul_n_f32(x[6], 1), x[3], 20), x[2], 9), x[5], -2), x[4], -10), x[1], -18); - U[4] = vmla_n_f32(vmla_n_f32(vmla_n_f32(vmla_n_f32(vmla_n_f32(vmul_n_f32(x[6], 1), x[1], 18), x[2], 9), x[5], 2), x[4], -10), x[3], -20); - U[5] = vmla_n_f32(vmla_n_f32(vmla_n_f32(vmla_n_f32(vmla_n_f32(vmul_n_f32(x[6], 1), x[3], 15), x[2], 4), x[5], -3), x[4], -5), x[1], -12); - U[6] = vmla_n_f32(vmla_n_f32(vmla_n_f32(vmla_n_f32(vmla_n_f32(vmul_n_f32(x[6], 1), x[1], 12), x[2], 4), x[5], 3), x[4], -5), x[3], -15); - U[7] = vmla_n_f32(vmla_n_f32(vmla_n_f32(vmul_n_f32(x[7], 1), x[3], 49), x[5], -14), x[1], -36); - - // Store the transformed vector - for (int j = 0; j < inner_tile_cols; j++) - { - vst1_f32(outptr + j*matrix_stride, U[j]); - } - outptr += 2; - } -#endif // __arm_any__ - for (; channels_remaining; channels_remaining--) - { - // Load x - for (int j = pad_left; j < cells_j; j++) - { - x[j] = *(x_ptrs[j]++); - } - - // Compute U = x . X - U[0] = x[0]*-36 + x[4]*-14 + x[2]*49 + x[6]*1; - U[1] = x[5]*-1 + x[1]*-36 + x[4]*-13 + x[3]*13 + x[2]*36 + x[6]*1; - U[2] = x[3]*-13 + x[4]*-13 + x[1]*36 + x[2]*36 + x[5]*1 + x[6]*1; - U[3] = x[1]*-18 + x[4]*-10 + x[5]*-2 + x[2]*9 + x[3]*20 + x[6]*1; - U[4] = x[3]*-20 + x[4]*-10 + x[5]*2 + x[2]*9 + x[1]*18 + x[6]*1; - U[5] = x[1]*-12 + x[4]*-5 + x[5]*-3 + x[2]*4 + x[3]*15 + x[6]*1; - U[6] = x[3]*-15 + x[4]*-5 + x[5]*3 + x[2]*4 + x[1]*12 + x[6]*1; - U[7] = x[1]*-36 + x[5]*-14 + x[3]*49 + x[7]*1; - - // Store the transformed vector - for (int j = 0; j < inner_tile_cols; j++) - { - *(outptr + j*matrix_stride) = U[j]; - } - outptr++; - } -} - -} - -namespace winograd -{ -template <int x> -using Tiles = InputTransformImplTiles<1, x, 1, 8, float>; - -/*****************************************************************************/ -// 1x3 specialisations -template <> -const Tiles<3>::TileFn Tiles<3>::tilefn_generic = winograd_input_transform_1x8_fp32_process_tile<false>; - -template <> -const Tiles<3>::TileFn Tiles<3>::tilefn_unpadded = winograd_input_transform_1x8_fp32_process_tile<true>; - -template <> -const Tiles<3>::TileFn Tiles<3>::tilefn_left_padded[n_pad_left] = { - winograd_input_transform_1x8_fp32_process_tile<true, 0, 1, 0, 0>, -}; - -template <> -const Tiles<3>::TileFn Tiles<3>::tilefn_right_padded[n_pad_right] = { - winograd_input_transform_1x8_fp32_process_tile<true, 0, 0, 0, 1>, - winograd_input_transform_1x8_fp32_process_tile<true, 0, 0, 0, 2>, - winograd_input_transform_1x8_fp32_process_tile<true, 0, 0, 0, 3>, - winograd_input_transform_1x8_fp32_process_tile<true, 0, 0, 0, 4>, - winograd_input_transform_1x8_fp32_process_tile<true, 0, 0, 0, 5>, - winograd_input_transform_1x8_fp32_process_tile<true, 0, 0, 0, 6>, - winograd_input_transform_1x8_fp32_process_tile<true, 0, 0, 0, 7>, -}; -/*****************************************************************************/ - -/*****************************************************************************/ -// 1x5 specialisations -template <> -const Tiles<5>::TileFn Tiles<5>::tilefn_generic = winograd_input_transform_1x8_fp32_process_tile<false>; - -template <> -const Tiles<5>::TileFn Tiles<5>::tilefn_unpadded = winograd_input_transform_1x8_fp32_process_tile<true>; - -template <> -const Tiles<5>::TileFn Tiles<5>::tilefn_left_padded[n_pad_left] = { - winograd_input_transform_1x8_fp32_process_tile<true, 0, 2, 0, 0>, -}; - -template <> -const Tiles<5>::TileFn Tiles<5>::tilefn_right_padded[n_pad_right] = { - winograd_input_transform_1x8_fp32_process_tile<true, 0, 0, 0, 1>, - winograd_input_transform_1x8_fp32_process_tile<true, 0, 0, 0, 2>, - winograd_input_transform_1x8_fp32_process_tile<true, 0, 0, 0, 3>, - winograd_input_transform_1x8_fp32_process_tile<true, 0, 0, 0, 4>, - winograd_input_transform_1x8_fp32_process_tile<true, 0, 0, 0, 5>, - winograd_input_transform_1x8_fp32_process_tile<true, 0, 0, 0, 6>, - winograd_input_transform_1x8_fp32_process_tile<true, 0, 0, 0, 7>, -}; -/*****************************************************************************/ - -/*****************************************************************************/ -// 1x7 specialisations -template <> -const Tiles<7>::TileFn Tiles<7>::tilefn_generic = winograd_input_transform_1x8_fp32_process_tile<false>; - -template <> -const Tiles<7>::TileFn Tiles<7>::tilefn_unpadded = winograd_input_transform_1x8_fp32_process_tile<true>; - -template <> -const Tiles<7>::TileFn Tiles<7>::tilefn_left_padded[n_pad_left] = { - winograd_input_transform_1x8_fp32_process_tile<true, 0, 1, 0, 0>, - winograd_input_transform_1x8_fp32_process_tile<true, 0, 3, 0, 0>, -}; - -template <> -const Tiles<7>::TileFn Tiles<7>::tilefn_right_padded[n_pad_right] = { - winograd_input_transform_1x8_fp32_process_tile<true, 0, 0, 0, 1>, - winograd_input_transform_1x8_fp32_process_tile<true, 0, 0, 0, 2>, - winograd_input_transform_1x8_fp32_process_tile<true, 0, 0, 0, 3>, - winograd_input_transform_1x8_fp32_process_tile<true, 0, 0, 0, 4>, - winograd_input_transform_1x8_fp32_process_tile<true, 0, 0, 0, 5>, - winograd_input_transform_1x8_fp32_process_tile<true, 0, 0, 0, 6>, - winograd_input_transform_1x8_fp32_process_tile<true, 0, 0, 0, 7>, -}; -/*****************************************************************************/ - - -template class InputTransform<1, 3, 1, 8, float>; -template class InputTransform<3, 1, 8, 1, float>; -template class InputTransform<1, 5, 1, 8, float>; -template class InputTransform<5, 1, 8, 1, float>; -template class InputTransform<1, 7, 1, 8, float>; -template class InputTransform<7, 1, 8, 1, float>; -} // namespace winograd |