| /* |
| * 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 |