| /* |
| * Copyright (c) 2017-2019 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 "output.hpp" |
| #include "arm.hpp" |
| |
| namespace winograd |
| { |
| |
| template <> |
| void OutputTransform<1, 5, 1, 8, float, float, WinogradRoots::Integers>::transform_tile( |
| const int n_channels, |
| const float* inptr, |
| const int matrix_stride, |
| const float* bptr, |
| float* const output, |
| const int, // No need to stride across rows |
| const int output_col_stride, |
| const float output_min, |
| const float output_max |
| ) |
| { |
| // Construct a map to the output cells |
| float *outptrs[output_tile_cols]; |
| for (int j = 0; j < output_tile_cols; j++) |
| { |
| outptrs[j] = output + j*output_col_stride; |
| } |
| |
| // 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(vmulq_n_f32(F[2], 1), F[6], 3), F[4], 2), F[3], -2), F[5], -3), F[1], -1); |
| f[2] = vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmulq_n_f32(F[2], 1), F[1], 1), F[6], 9), F[5], 9), F[4], 4), F[3], 4); |
| f[3] = 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], 27), F[4], 8), F[3], -8), F[5], -27), F[1], -1); |
| |
| // Write out the output tile |
| if (bptr != 0) |
| { |
| b = vld1q_f32(bptr); |
| bptr += 4; |
| } |
| for (int j = 0; j < output_tile_cols; j++) |
| { |
| const auto y = |
| vmaxq_f32(vminq_f32(vaddq_f32(f[j], b), vdupq_n_f32(output_max)), |
| vdupq_n_f32(output_min)); |
| vst1q_f32(outptrs[j], y); |
| 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(vmul_n_f32(F[2], 1), F[6], 3), F[4], 2), F[3], -2), F[5], -3), F[1], -1); |
| f[2] = vmla_n_f32(vmla_n_f32(vmla_n_f32(vmla_n_f32(vmla_n_f32(vmul_n_f32(F[2], 1), F[1], 1), F[6], 9), F[5], 9), F[4], 4), F[3], 4); |
| f[3] = 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], 27), F[4], 8), F[3], -8), F[5], -27), F[1], -1); |
| |
| // Write out the output tile |
| if (bptr != 0) |
| { |
| b = vld1_f32(bptr); |
| bptr += 2; |
| } |
| for (int j = 0; j < output_tile_cols; j++) |
| { |
| const auto y = |
| vmax_f32(vmin_f32(vadd_f32(f[j], b), vdup_n_f32(output_max)), |
| vdup_n_f32(output_min)); |
| vst1_f32(outptrs[j], y); |
| 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[2] = F[3]*4 + F[4]*4 + F[5]*9 + F[6]*9 + F[1]*1 + F[2]*1; |
| f[3] = F[1]*-1 + F[5]*-27 + F[3]*-8 + F[4]*8 + F[6]*27 + F[2]*1 + F[7]*1; |
| |
| // Write out the output tile |
| if (bptr != 0) |
| { |
| b = *(bptr++); |
| } |
| for (int j = 0; j < output_tile_cols; j++) |
| { |
| const auto y = std::max(std::min(f[j] + b, output_max), output_min); |
| *(outptrs[j]++) = y; |
| } |
| } |
| } |
| |
| template class OutputTransform<1, 5, 1, 8, float, float, WinogradRoots::Integers>; |
| template class OutputTransform<5, 1, 8, 1, float, float, WinogradRoots::Integers>; |
| |
| } // namespace winograd |