diff options
Diffstat (limited to 'src/core/NEON/kernels/convolution/winograd/winograd_transforms/input_4x4_fp16_fp16_integers.cpp')
-rw-r--r-- | src/core/NEON/kernels/convolution/winograd/winograd_transforms/input_4x4_fp16_fp16_integers.cpp | 257 |
1 files changed, 0 insertions, 257 deletions
diff --git a/src/core/NEON/kernels/convolution/winograd/winograd_transforms/input_4x4_fp16_fp16_integers.cpp b/src/core/NEON/kernels/convolution/winograd/winograd_transforms/input_4x4_fp16_fp16_integers.cpp deleted file mode 100644 index 5e6ac97121..0000000000 --- a/src/core/NEON/kernels/convolution/winograd/winograd_transforms/input_4x4_fp16_fp16_integers.cpp +++ /dev/null @@ -1,257 +0,0 @@ -/* - * Copyright (c) 2020 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. - */ -#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC - -#include "input.hpp" -#include "arm.hpp" - -namespace winograd -{ - -template <> -void InputTransform<4, 4, __fp16, __fp16, WinogradRoots::Integers>::transform_tile( - const int n_channels, - const __fp16* const input_base, - const int input_row_stride, - const int input_col_stride, - __fp16* outptr, - const int matrix_stride -) -{ - constexpr int inner_tile_rows = 4, inner_tile_cols = 4; - - // Get pointers into the input tile - const __fp16 *x_ptrs[inner_tile_rows][inner_tile_cols]; - for (int i = 0, xi = 0; i < inner_tile_rows; i++, xi++) - { - // Get a pointer into the row - const __fp16* const row_ptr = input_base + xi*input_row_stride; - - for (int j = 0, xj = 0; j < inner_tile_cols; j++, xj++) - { - x_ptrs[i][j] = row_ptr + xj*input_col_stride; - } - } - - // Matrices used/computed in this kernel. - __fp16 x[inner_tile_rows][inner_tile_cols]; - __fp16 XTx[inner_tile_rows][inner_tile_cols]; - __fp16 U[inner_tile_rows][inner_tile_cols]; - - for (int i = 0; i < inner_tile_rows; i++) - { - for (int j = 0; j < inner_tile_cols; j++) - { - x[i][j] = XTx[i][j] = 0.0f; - } - } - - // Perform the Winograd input transformation for each channel in the input - // tensor. - int channels_remaining = n_channels; -#ifdef __aarch64__ - for (; channels_remaining >= 8; channels_remaining -= 8) - { - // Matrices used/computed in this kernel. - float16x8_t x[inner_tile_rows][inner_tile_cols]; - float16x8_t XTx[inner_tile_rows][inner_tile_cols]; - float16x8_t U[inner_tile_rows][inner_tile_cols]; - - for (int i = 0; i < inner_tile_rows; i++) - { - for (int j = 0; j < inner_tile_cols; j++) - { - x[i][j] = vdupq_n_f16(0.0f); - XTx[i][j] = vdupq_n_f16(0.0f); - } - } - - // Load x - for (int i = 0; i < inner_tile_rows; i++) - { - for (int j = 0; j < inner_tile_cols; j++) - { - x[i][j] = vld1q_f16(x_ptrs[i][j]); - x_ptrs[i][j] += 8; - } - } - - // Compute XT . x - for (int j = 0; j < inner_tile_cols; j++) - { - // XTx[0][j] = x[0][j] - x[2][j]; - XTx[0][j] = vsubq_f16(x[0][j], x[2][j]); - - // XTx[1][j] = x[1][j] + x[2][j]; - XTx[1][j] = vaddq_f16(x[1][j], x[2][j]); - - // XTx[2][j] = x[2][j] - x[1][j]; - XTx[2][j] = vsubq_f16(x[2][j], x[1][j]); - - // XTx[3][j] = x[1][j] - x[3][j]; - XTx[3][j] = vsubq_f16(x[1][j], x[3][j]); - } - - // Compute U = XT . x . X - for (int i = 0; i < inner_tile_rows; i++) - { - // U[i][0] = XTx[i][0] - XTx[i][2]; - U[i][0] = vsubq_f16(XTx[i][0], XTx[i][2]); - - // U[i][1] = XTx[i][1] + XTx[i][2]; - U[i][1] = vaddq_f16(XTx[i][1], XTx[i][2]); - - // U[i][2] = XTx[i][2] - XTx[i][1]; - U[i][2] = vsubq_f16(XTx[i][2], XTx[i][1]); - - // U[i][3] = XTx[i][1] - XTx[i][3]; - U[i][3] = vsubq_f16(XTx[i][1], XTx[i][3]); - } - - // Store the transformed matrix - for (int i = 0, m = 0; i < inner_tile_rows; i++) - { - for (int j = 0; j < inner_tile_cols; j++, m++) - { - vst1q_f16(outptr + m*matrix_stride, U[i][j]); - } - } - outptr += 8; - } -#endif // __aarch64__ -#ifdef __arm_any__ - for (; channels_remaining >= 4; channels_remaining -= 4) - { - // Matrices used/computed in this kernel. - float16x4_t x[inner_tile_rows][inner_tile_cols]; - float16x4_t XTx[inner_tile_rows][inner_tile_cols]; - float16x4_t U[inner_tile_rows][inner_tile_cols]; - - for (int i = 0; i < inner_tile_rows; i++) - { - for (int j = 0; j < inner_tile_cols; j++) - { - x[i][j] = vdup_n_f16(0.0f); - XTx[i][j] = vdup_n_f16(0.0f); - } - } - - // Load x - for (int i = 0; i < inner_tile_rows; i++) - { - for (int j = 0; j < inner_tile_cols; j++) - { - x[i][j] = vld1_f16(x_ptrs[i][j]); - x_ptrs[i][j] += 4; - } - } - - // Compute XT . x - for (int j = 0; j < inner_tile_cols; j++) - { - // XTx[0][j] = x[0][j] - x[2][j]; - XTx[0][j] = vsub_f16(x[0][j], x[2][j]); - - // XTx[1][j] = x[1][j] + x[2][j]; - XTx[1][j] = vadd_f16(x[1][j], x[2][j]); - - // XTx[2][j] = x[2][j] - x[1][j]; - XTx[2][j] = vsub_f16(x[2][j], x[1][j]); - - // XTx[3][j] = x[1][j] - x[3][j]; - XTx[3][j] = vsub_f16(x[1][j], x[3][j]); - } - - // Compute U = XT . x . X - for (int i = 0; i < inner_tile_rows; i++) - { - // U[i][0] = XTx[i][0] - XTx[i][2]; - U[i][0] = vsub_f16(XTx[i][0], XTx[i][2]); - - // U[i][1] = XTx[i][1] + XTx[i][2]; - U[i][1] = vadd_f16(XTx[i][1], XTx[i][2]); - - // U[i][2] = XTx[i][2] - XTx[i][1]; - U[i][2] = vsub_f16(XTx[i][2], XTx[i][1]); - - // U[i][3] = XTx[i][1] - XTx[i][3]; - U[i][3] = vsub_f16(XTx[i][1], XTx[i][3]); - } - - // Store the transformed matrix - for (int i = 0, m = 0; i < inner_tile_rows; i++) - { - for (int j = 0; j < inner_tile_cols; j++, m++) - { - vst1_f16(outptr + m*matrix_stride, U[i][j]); - } - } - outptr += 4; - } -#endif // __arm_any__ - for (; channels_remaining; channels_remaining--) - { - // Load x - for (int i = 0; i < inner_tile_rows; i++) - { - for (int j = 0; j < inner_tile_cols; j++) - { - x[i][j] = *(x_ptrs[i][j]++); - } - } - - // Compute XT . x - for (int j = 0; j < inner_tile_cols; j++) - { - XTx[0][j] = x[0][j] - x[2][j]; - XTx[1][j] = x[1][j] + x[2][j]; - XTx[2][j] = x[2][j] - x[1][j]; - XTx[3][j] = x[1][j] - x[3][j]; - } - - // Compute U = XT . x . X - for (int i = 0; i < inner_tile_rows; i++) - { - U[i][0] = XTx[i][0] - XTx[i][2]; - U[i][1] = XTx[i][1] + XTx[i][2]; - U[i][2] = XTx[i][2] - XTx[i][1]; - U[i][3] = XTx[i][1] - XTx[i][3]; - } - - // Store the transformed matrix - for (int i = 0, m = 0; i < inner_tile_rows; i++) - { - for (int j = 0; j < inner_tile_cols; j++, m++) - { - *(outptr + m*matrix_stride) = U[i][j]; - } - } - outptr++; - } -} - -template class InputTransform<4, 4, __fp16, __fp16, WinogradRoots::Integers>; - -} // namespace -#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |