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Diffstat (limited to 'src/core/NEON/kernels/convolution/winograd/output_transforms/arm_fp32_2x2_5x5.cpp')
-rw-r--r-- | src/core/NEON/kernels/convolution/winograd/output_transforms/arm_fp32_2x2_5x5.cpp | 212 |
1 files changed, 212 insertions, 0 deletions
diff --git a/src/core/NEON/kernels/convolution/winograd/output_transforms/arm_fp32_2x2_5x5.cpp b/src/core/NEON/kernels/convolution/winograd/output_transforms/arm_fp32_2x2_5x5.cpp new file mode 100644 index 0000000000..256d049032 --- /dev/null +++ b/src/core/NEON/kernels/convolution/winograd/output_transforms/arm_fp32_2x2_5x5.cpp @@ -0,0 +1,212 @@ +/* + * Copyright (c) 2022 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 <algorithm> +#include <cstddef> +#include <arm_neon.h> + +namespace arm_conv { +namespace winograd { +namespace output_transform { + +void arm_fp32_2x2_5x5( + unsigned int n_channels, + const float* inptr, + const size_t matrix_stride, + const float* bptr, + float *outptr, + const size_t output_row_stride, + const size_t output_col_stride, + const float output_min, + const float output_max +) +{ + constexpr auto output_tile_rows = 2u, output_tile_cols = 2u; + + // For each channel of the output + for (; n_channels >= 4; n_channels -= 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 (auto i = 0u, m = 0u; i < 6; i++) + { + for (auto j = 0u; j < 6; j++, m++) + { + F[i][j] = vld1q_f32(inptr + m*matrix_stride); + } + } + inptr += 4; + + // Compute the matrix F Z + for (auto i = 0u; 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 (auto j = 0u; 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 + if (bptr != nullptr) + { + b = vld1q_f32(bptr); + bptr += 4; + } + else + { + b = vdupq_n_f32(0.0f); + } + for (auto i = 0u; i < output_tile_rows; i++) + { + for (auto j = 0u; j < output_tile_cols; j++) + { + const auto y = + vmaxq_f32(vminq_f32(vaddq_f32(f[i][j], b), vdupq_n_f32(output_max)), + vdupq_n_f32(output_min)); + vst1q_f32(outptr + i*output_row_stride + j*output_col_stride, y); + } + } + outptr += 4; + } + for (; n_channels >= 2; n_channels -= 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 (auto i = 0u, m = 0u; i < 6; i++) + { + for (auto j = 0u; j < 6; j++, m++) + { + F[i][j] = vld1_f32(inptr + m*matrix_stride); + } + } + inptr += 2; + + // Compute the matrix F Z + for (auto i = 0u; 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 (auto j = 0u; 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 + if (bptr != nullptr) + { + b = vld1_f32(bptr); + bptr += 2; + } + else + { + b = vdup_n_f32(0.0f); + } + for (auto i = 0u; i < output_tile_rows; i++) + { + for (auto j = 0u; j < output_tile_cols; j++) + { + const auto y = + vmax_f32(vmin_f32(vadd_f32(f[i][j], b), vdup_n_f32(output_max)), + vdup_n_f32(output_min)); + vst1_f32(outptr + i*output_row_stride + j*output_col_stride, y); + } + } + outptr += 2; + } + if (n_channels) + { + // 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 (auto i = 0u, m = 0u; i < 6; i++) + { + for (auto j = 0u; j < 6; j++, m++) + { + F[i][j] = *(inptr + m*matrix_stride); + } + } + + // Compute the matrix F Z + for (auto i = 0u; 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 (auto j = 0u; 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 + if (bptr != nullptr) + { + b = *(bptr++); + } + else + { + b = 0.0f; + } + for (auto i = 0u; i < output_tile_rows; i++) + { + for (auto j = 0u; j < output_tile_cols; j++) + { + const auto y = std::max(std::min(f[i][j] + b, output_max), output_min); + *(outptr + i*output_row_stride + j*output_col_stride) = y; + } + } + } +} + +} // namespace output_transform +} // namespace winograd +} // namespace arm_conv |