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Diffstat (limited to 'src/core/NEON/kernels/convolution/winograd/winograd_transforms/output_2x2_5x5_fp32_fp32_integers.cpp')
-rw-r--r--src/core/NEON/kernels/convolution/winograd/winograd_transforms/output_2x2_5x5_fp32_fp32_integers.cpp225
1 files changed, 0 insertions, 225 deletions
diff --git a/src/core/NEON/kernels/convolution/winograd/winograd_transforms/output_2x2_5x5_fp32_fp32_integers.cpp b/src/core/NEON/kernels/convolution/winograd/winograd_transforms/output_2x2_5x5_fp32_fp32_integers.cpp
deleted file mode 100644
index 3996be1c52..0000000000
--- a/src/core/NEON/kernels/convolution/winograd/winograd_transforms/output_2x2_5x5_fp32_fp32_integers.cpp
+++ /dev/null
@@ -1,225 +0,0 @@
-/*
- * 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<5, 5, 6, 6, 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 output_row_stride,
- const int output_col_stride,
- const float output_min,
- const float output_max
-)
-{
- // Construct a map to the output cells
- float *outptrs[output_tile_rows][output_tile_cols];
- for (int i = 0; i < output_tile_rows; i++)
- {
- for (int j = 0; j < output_tile_cols; j++)
- {
- outptrs[i][j] = output + i*output_row_stride + j*output_col_stride;
- }
- }
-
- // 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
- if (bptr != nullptr)
- {
- b = vld1q_f32(bptr);
- bptr += 4;
- }
- else
- {
- b = vdupq_n_f32(0.0f);
- }
- for (int i = 0; i < output_tile_rows; i++)
- {
- for (int j = 0; 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(outptrs[i][j], y);
- 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
- if (bptr != nullptr)
- {
- b = vld1_f32(bptr);
- bptr += 2;
- }
- else
- {
- b = vdup_n_f32(0.0f);
- }
- for (int i = 0; i < output_tile_rows; i++)
- {
- for (int j = 0; 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(outptrs[i][j], y);
- 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
- if (bptr != nullptr)
- {
- b = *(bptr++);
- }
- else
- {
- b = 0.0f;
- }
- for (int i = 0; i < output_tile_rows; i++)
- {
- for (int j = 0; j < output_tile_cols; j++)
- {
- const auto y = std::max(std::min(f[i][j] + b, output_max), output_min);
- *(outptrs[i][j]++) = y;
- }
- }
- }
-}
-
-template class OutputTransform<5, 5, 6, 6, float, float, WinogradRoots::Integers>;
-
-} // namespace
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