| /* |
| * 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 PadBottom=0, int PadRight=0> |
| void winograd_output_transform_2x2_5x5_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 |
| ) |
| { |
| constexpr int OutputTileRows = 2, OutputTileCols = 2; |
| const int pad_bottom = Specialized ? PadBottom : _pad_bottom; |
| const int pad_right = Specialized ? PadRight : _pad_right; |
| |
| const int cells_i = 2 - pad_bottom; |
| const int cells_j = 2 - pad_right; |
| |
| // Construct a map to the output cells |
| float *outptrs[OutputTileRows][OutputTileCols]; |
| for (int i = 0; i < cells_i; i++) |
| { |
| for (int j = 0; j < cells_j; j++) |
| { |
| outptrs[i][j] = output + i*output_row_stride + j*output_col_stride; |
| } |
| } |
| const float *inptr = matrix_base; |
| const float *bptr = biases; |
| |
| if (bptr) |
| { |
| // For each channel of the output |
| int channels_remaining = n_channels; |
| #ifdef __aarch64__ |
| for (; channels_remaining >= 4; channels_remaining -= 4) |
| { |
| // Matrices used and computed during this transform |
| float32x4_t F[6][6], FZ[6][2], f[2][2], b; |
| |
| // Read a 6x6 tile in the Winograd domain |
| for (int i = 0, m = 0; i < 6; i++) |
| { |
| for (int j = 0; j < 6; j++, m++) |
| { |
| F[i][j] = vld1q_f32(inptr + m*matrix_stride); |
| } |
| } |
| inptr += 4; |
| |
| // Compute the matrix F Z |
| for (int i = 0; i < 6; i++) |
| { |
| // FZ[i][0] = 1*F[i][0] + 1*F[i][1] + 1*F[i][2] + 1*F[i][3] + 1*F[i][4]; |
| FZ[i][0] = vaddq_f32(vaddq_f32(vaddq_f32(F[i][0], F[i][1]), vaddq_f32(F[i][2], F[i][3])), F[i][4]); |
| |
| // FZ[i][1] = 1*F[i][1] + -1*F[i][2] + 2*F[i][3] + -2*F[i][4] + 1*F[i][5]; |
| FZ[i][1] = vaddq_f32(vmlaq_n_f32(vsubq_f32(F[i][1], F[i][2]), vsubq_f32(F[i][3], F[i][4]), 2.0f), F[i][5]); |
| } |
| |
| // Compute the output tile f = ZT F Z |
| for (int j = 0; j < 2; j++) |
| { |
| // f[0][j] = 1*FZ[0][j] + 1*FZ[1][j] + 1*FZ[2][j] + 1*FZ[3][j] + 1*FZ[4][j]; |
| f[0][j] = vaddq_f32(vaddq_f32(vaddq_f32(FZ[0][j], FZ[1][j]), vaddq_f32(FZ[2][j], FZ[3][j])), FZ[4][j]); |
| |
| // f[1][j] = 1*FZ[1][j] + -1*FZ[2][j] + 2*FZ[3][j] + -2*FZ[4][j] + 1*FZ[5][j]; |
| f[1][j] = vaddq_f32(vmlaq_n_f32(vsubq_f32(FZ[1][j], FZ[2][j]), vsubq_f32(FZ[3][j], FZ[4][j]), 2.0f), FZ[5][j]); |
| } |
| |
| // Write out the output tile |
| b = vld1q_f32(bptr); |
| bptr += 4; |
| for (int i = 0; i < cells_i; i++) |
| { |
| for (int j = 0; j < cells_j; j++) |
| { |
| vst1q_f32(outptrs[i][j], vaddq_f32(f[i][j], b)); |
| outptrs[i][j] += 4; |
| } |
| } |
| } |
| #endif // __aarch64__ |
| #ifdef __arm_any__ |
| for (; channels_remaining >= 2; channels_remaining -= 2) |
| { |
| // Matrices used and computed during this transform |
| float32x2_t F[6][6], FZ[6][2], f[2][2], b; |
| |
| // Read a 6x6 tile in the Winograd domain |
| for (int i = 0, m = 0; i < 6; i++) |
| { |
| for (int j = 0; j < 6; j++, m++) |
| { |
| F[i][j] = vld1_f32(inptr + m*matrix_stride); |
| } |
| } |
| inptr += 2; |
| |
| // Compute the matrix F Z |
| for (int i = 0; i < 6; i++) |
| { |
| // FZ[i][0] = 1*F[i][0] + 1*F[i][1] + 1*F[i][2] + 1*F[i][3] + 1*F[i][4]; |
| FZ[i][0] = vadd_f32(vadd_f32(vadd_f32(F[i][0], F[i][1]), vadd_f32(F[i][2], F[i][3])), F[i][4]); |
| |
| // FZ[i][1] = 1*F[i][1] + -1*F[i][2] + 2*F[i][3] + -2*F[i][4] + 1*F[i][5]; |
| FZ[i][1] = vadd_f32(vmla_n_f32(vsub_f32(F[i][1], F[i][2]), vsub_f32(F[i][3], F[i][4]), 2.0f), F[i][5]); |
| } |
| |
| // Compute the output tile f = ZT F Z |
| for (int j = 0; j < 2; j++) |
| { |
| // f[0][j] = 1*FZ[0][j] + 1*FZ[1][j] + 1*FZ[2][j] + 1*FZ[3][j] + 1*FZ[4][j]; |
| f[0][j] = vadd_f32(vadd_f32(vadd_f32(FZ[0][j], FZ[1][j]), vadd_f32(FZ[2][j], FZ[3][j])), FZ[4][j]); |
| |
| // f[1][j] = 1*FZ[1][j] + -1*FZ[2][j] + 2*FZ[3][j] + -2*FZ[4][j] + 1*FZ[5][j]; |
| f[1][j] = vadd_f32(vmla_n_f32(vsub_f32(FZ[1][j], FZ[2][j]), vsub_f32(FZ[3][j], FZ[4][j]), 2.0f), FZ[5][j]); |
| } |
| |
| // Write out the output tile |
| b = vld1_f32(bptr); |
| bptr += 2; |
| for (int i = 0; i < cells_i; i++) |
| { |
| for (int j = 0; j < cells_j; j++) |
| { |
| vst1_f32(outptrs[i][j], vadd_f32(f[i][j], b)); |
| outptrs[i][j] += 2; |
| } |
| } |
| } |
| #endif // __arm_any__ |
| for (; channels_remaining; channels_remaining--) |
| { |
| // Matrices used and computed during this transform |
| float F[6][6], FZ[6][2], f[2][2], b; |
| |
| // Read a 6x6 tile in the Winograd domain |
| for (int i = 0, m = 0; i < 6; i++) |
| { |
| for (int j = 0; j < 6; j++, m++) |
| { |
| F[i][j] = *(inptr + m*matrix_stride); |
| } |
| } |
| inptr++; |
| |
| // Compute the matrix F Z |
| for (int i = 0; i < 6; i++) |
| { |
| FZ[i][0] = 1*F[i][0] + 1*F[i][1] + 1*F[i][2] + 1*F[i][3] + 1*F[i][4]; |
| FZ[i][1] = 1*F[i][1] + -1*F[i][2] + 2*F[i][3] + -2*F[i][4] + 1*F[i][5]; |
| } |
| |
| // Compute the output tile f = ZT F Z |
| for (int j = 0; j < 2; j++) |
| { |
| f[0][j] = 1*FZ[0][j] + 1*FZ[1][j] + 1*FZ[2][j] + 1*FZ[3][j] + 1*FZ[4][j]; |
| f[1][j] = 1*FZ[1][j] + -1*FZ[2][j] + 2*FZ[3][j] + -2*FZ[4][j] + 1*FZ[5][j]; |
| } |
| |
| // Write out the output tile |
| b = *(bptr++); |
| for (int i = 0; i < cells_i; i++) |
| { |
| for (int j = 0; j < cells_j; j++) |
| { |
| *(outptrs[i][j]++) = f[i][j] + b; |
| } |
| } |
| } |
| } |
| else |
| { |
| // For each channel of the output |
| int channels_remaining = n_channels; |
| #ifdef __aarch64__ |
| for (; channels_remaining >= 4; channels_remaining -= 4) |
| { |
| // Matrices used and computed during this transform |
| float32x4_t F[6][6], FZ[6][2], f[2][2]; |
| |
| // Read a 6x6 tile in the Winograd domain |
| for (int i = 0, m = 0; i < 6; i++) |
| { |
| for (int j = 0; j < 6; j++, m++) |
| { |
| F[i][j] = vld1q_f32(inptr + m*matrix_stride); |
| } |
| } |
| inptr += 4; |
| |
| // Compute the matrix F Z |
| for (int i = 0; i < 6; i++) |
| { |
| // FZ[i][0] = 1*F[i][0] + 1*F[i][1] + 1*F[i][2] + 1*F[i][3] + 1*F[i][4]; |
| FZ[i][0] = vaddq_f32(vaddq_f32(vaddq_f32(F[i][0], F[i][1]), vaddq_f32(F[i][2], F[i][3])), F[i][4]); |
| |
| // FZ[i][1] = 1*F[i][1] + -1*F[i][2] + 2*F[i][3] + -2*F[i][4] + 1*F[i][5]; |
| FZ[i][1] = vaddq_f32(vmlaq_n_f32(vsubq_f32(F[i][1], F[i][2]), vsubq_f32(F[i][3], F[i][4]), 2.0f), F[i][5]); |
| } |
| |
| // Compute the output tile f = ZT F Z |
| for (int j = 0; j < 2; j++) |
| { |
| // f[0][j] = 1*FZ[0][j] + 1*FZ[1][j] + 1*FZ[2][j] + 1*FZ[3][j] + 1*FZ[4][j]; |
| f[0][j] = vaddq_f32(vaddq_f32(vaddq_f32(FZ[0][j], FZ[1][j]), vaddq_f32(FZ[2][j], FZ[3][j])), FZ[4][j]); |
| |
| // f[1][j] = 1*FZ[1][j] + -1*FZ[2][j] + 2*FZ[3][j] + -2*FZ[4][j] + 1*FZ[5][j]; |
| f[1][j] = vaddq_f32(vmlaq_n_f32(vsubq_f32(FZ[1][j], FZ[2][j]), vsubq_f32(FZ[3][j], FZ[4][j]), 2.0f), FZ[5][j]); |
| } |
| |
| // Write out the output tile |
| for (int i = 0; i < cells_i; i++) |
| { |
| for (int j = 0; j < cells_j; j++) |
| { |
| vst1q_f32(outptrs[i][j], f[i][j]); |
| outptrs[i][j] += 4; |
| } |
| } |
| } |
| #endif // __aarch64__ |
| #ifdef __arm_any__ |
| for (; channels_remaining >= 2; channels_remaining -= 2) |
| { |
| // Matrices used and computed during this transform |
| float32x2_t F[6][6], FZ[6][2], f[2][2]; |
| |
| // Read a 6x6 tile in the Winograd domain |
| for (int i = 0, m = 0; i < 6; i++) |
| { |
| for (int j = 0; j < 6; j++, m++) |
| { |
| F[i][j] = vld1_f32(inptr + m*matrix_stride); |
| } |
| } |
| inptr += 2; |
| |
| // Compute the matrix F Z |
| for (int i = 0; i < 6; i++) |
| { |
| // FZ[i][0] = 1*F[i][0] + 1*F[i][1] + 1*F[i][2] + 1*F[i][3] + 1*F[i][4]; |
| FZ[i][0] = vadd_f32(vadd_f32(vadd_f32(F[i][0], F[i][1]), vadd_f32(F[i][2], F[i][3])), F[i][4]); |
| |
| // FZ[i][1] = 1*F[i][1] + -1*F[i][2] + 2*F[i][3] + -2*F[i][4] + 1*F[i][5]; |
| FZ[i][1] = vadd_f32(vmla_n_f32(vsub_f32(F[i][1], F[i][2]), vsub_f32(F[i][3], F[i][4]), 2.0f), F[i][5]); |
| } |
| |
| // Compute the output tile f = ZT F Z |
| for (int j = 0; j < 2; j++) |
| { |
| // f[0][j] = 1*FZ[0][j] + 1*FZ[1][j] + 1*FZ[2][j] + 1*FZ[3][j] + 1*FZ[4][j]; |
| f[0][j] = vadd_f32(vadd_f32(vadd_f32(FZ[0][j], FZ[1][j]), vadd_f32(FZ[2][j], FZ[3][j])), FZ[4][j]); |
| |
| // f[1][j] = 1*FZ[1][j] + -1*FZ[2][j] + 2*FZ[3][j] + -2*FZ[4][j] + 1*FZ[5][j]; |
| f[1][j] = vadd_f32(vmla_n_f32(vsub_f32(FZ[1][j], FZ[2][j]), vsub_f32(FZ[3][j], FZ[4][j]), 2.0f), FZ[5][j]); |
| } |
| |
| // Write out the output tile |
| for (int i = 0; i < cells_i; i++) |
| { |
| for (int j = 0; j < cells_j; j++) |
| { |
| vst1_f32(outptrs[i][j], f[i][j]); |
| outptrs[i][j] += 2; |
| } |
| } |
| } |
| #endif // __arm_any__ |
| for (; channels_remaining; channels_remaining--) |
| { |
| // Matrices used and computed during this transform |
| float F[6][6], FZ[6][2], f[2][2]; |
| |
| // Read a 6x6 tile in the Winograd domain |
| for (int i = 0, m = 0; i < 6; i++) |
| { |
| for (int j = 0; j < 6; j++, m++) |
| { |
| F[i][j] = *(inptr + m*matrix_stride); |
| } |
| } |
| inptr++; |
| |
| // Compute the matrix F Z |
| for (int i = 0; i < 6; i++) |
| { |
| FZ[i][0] = 1*F[i][0] + 1*F[i][1] + 1*F[i][2] + 1*F[i][3] + 1*F[i][4]; |
| FZ[i][1] = 1*F[i][1] + -1*F[i][2] + 2*F[i][3] + -2*F[i][4] + 1*F[i][5]; |
| } |
| |
| // Compute the output tile f = ZT F Z |
| for (int j = 0; j < 2; j++) |
| { |
| f[0][j] = 1*FZ[0][j] + 1*FZ[1][j] + 1*FZ[2][j] + 1*FZ[3][j] + 1*FZ[4][j]; |
| f[1][j] = 1*FZ[1][j] + -1*FZ[2][j] + 2*FZ[3][j] + -2*FZ[4][j] + 1*FZ[5][j]; |
| } |
| |
| // Write out the output tile |
| for (int i = 0; i < cells_i; i++) |
| { |
| for (int j = 0; j < cells_j; j++) |
| { |
| *(outptrs[i][j]++) = f[i][j]; |
| } |
| } |
| } |
| } |
| } |
| |
| } // namespace (anonymous) |
| |
| namespace winograd |
| { |
| using Tiles = OutputTransformImplTiles<5, 5, 6, 6, float>; |
| |
| template <> |
| const Tiles::TileFn Tiles::tilefn_generic = winograd_output_transform_2x2_5x5_fp32_process_tile<false>; |
| |
| template <> |
| const Tiles::TileFn Tiles::tilefn_unpadded = winograd_output_transform_2x2_5x5_fp32_process_tile<true>; |
| |
| template <> |
| const Tiles::TileFn Tiles::tilefn_bottom_padded[n_pad_bottom] = { |
| winograd_output_transform_2x2_5x5_fp32_process_tile<true, 1, 0> |
| }; |
| |
| template <> |
| const Tiles::TileFn Tiles::tilefn_right_padded[n_pad_right] = { |
| winograd_output_transform_2x2_5x5_fp32_process_tile<true, 0, 1> |
| }; |
| |
| template class OutputTransform<5, 5, 6, 6, float>; |
| } // namespace winograd |
| |