Pablo Tello | 8f43d74 | 2019-03-27 09:28:32 +0000 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2019 ARM Limited. |
| 3 | * |
| 4 | * SPDX-License-Identifier: MIT |
| 5 | * |
| 6 | * Permission is hereby granted, free of charge, to any person obtaining a copy |
| 7 | * of this software and associated documentation files (the "Software"), to |
| 8 | * deal in the Software without restriction, including without limitation the |
| 9 | * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| 10 | * sell copies of the Software, and to permit persons to whom the Software is |
| 11 | * furnished to do so, subject to the following conditions: |
| 12 | * |
| 13 | * The above copyright notice and this permission notice shall be included in all |
| 14 | * copies or substantial portions of the Software. |
| 15 | * |
| 16 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| 17 | * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| 18 | * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| 19 | * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| 20 | * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| 21 | * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 22 | * SOFTWARE. |
| 23 | */ |
| 24 | |
| 25 | #include "input.hpp" |
| 26 | #include "arm.hpp" |
| 27 | |
| 28 | namespace winograd |
| 29 | { |
| 30 | |
| 31 | template <> |
| 32 | void InputTransform<4, 4, float, float, WinogradRoots::Integers>::transform_tile( |
| 33 | const int n_channels, |
| 34 | const float* const input_base, |
| 35 | const int input_row_stride, |
| 36 | const int input_col_stride, |
| 37 | float* outptr, |
| 38 | const int matrix_stride |
| 39 | ) |
| 40 | { |
| 41 | constexpr int inner_tile_rows = 4, inner_tile_cols = 4; |
| 42 | |
| 43 | // Get pointers into the input tile |
| 44 | const float *x_ptrs[inner_tile_rows][inner_tile_cols]; |
| 45 | for (int i = 0, xi = 0; i < inner_tile_rows; i++, xi++) |
| 46 | { |
| 47 | // Get a pointer into the row |
| 48 | const float* const row_ptr = input_base + xi*input_row_stride; |
| 49 | |
| 50 | for (int j = 0, xj = 0; j < inner_tile_cols; j++, xj++) |
| 51 | { |
| 52 | x_ptrs[i][j] = row_ptr + xj*input_col_stride; |
| 53 | } |
| 54 | } |
| 55 | |
| 56 | // Matrices used/computed in this kernel. |
| 57 | float x[inner_tile_rows][inner_tile_cols]; |
| 58 | float XTx[inner_tile_rows][inner_tile_cols]; |
| 59 | float U[inner_tile_rows][inner_tile_cols]; |
| 60 | |
| 61 | for (int i = 0; i < inner_tile_rows; i++) |
| 62 | { |
| 63 | for (int j = 0; j < inner_tile_cols; j++) |
| 64 | { |
| 65 | x[i][j] = XTx[i][j] = 0.0f; |
| 66 | } |
| 67 | } |
| 68 | |
| 69 | // Perform the Winograd input transformation for each channel in the input |
| 70 | // tensor. |
| 71 | int channels_remaining = n_channels; |
| 72 | #ifdef __aarch64__ |
| 73 | for (; channels_remaining >= 4; channels_remaining -= 4) |
| 74 | { |
| 75 | // Matrices used/computed in this kernel. |
| 76 | float32x4_t x[inner_tile_rows][inner_tile_cols]; |
| 77 | float32x4_t XTx[inner_tile_rows][inner_tile_cols]; |
| 78 | float32x4_t U[inner_tile_rows][inner_tile_cols]; |
| 79 | |
| 80 | for (int i = 0; i < inner_tile_rows; i++) |
| 81 | { |
| 82 | for (int j = 0; j < inner_tile_cols; j++) |
| 83 | { |
| 84 | x[i][j] = vdupq_n_f32(0.0f); |
| 85 | XTx[i][j] = vdupq_n_f32(0.0f); |
| 86 | } |
| 87 | } |
| 88 | |
| 89 | // Load x |
| 90 | for (int i = 0; i < inner_tile_rows; i++) |
| 91 | { |
| 92 | for (int j = 0; j < inner_tile_cols; j++) |
| 93 | { |
| 94 | x[i][j] = vld1q_f32(x_ptrs[i][j]); |
| 95 | x_ptrs[i][j] += 4; |
| 96 | } |
| 97 | } |
| 98 | |
| 99 | // Compute XT . x |
| 100 | for (int j = 0; j < inner_tile_cols; j++) |
| 101 | { |
| 102 | // XTx[0][j] = x[0][j] - x[2][j]; |
| 103 | XTx[0][j] = vsubq_f32(x[0][j], x[2][j]); |
| 104 | |
| 105 | // XTx[1][j] = x[1][j] + x[2][j]; |
| 106 | XTx[1][j] = vaddq_f32(x[1][j], x[2][j]); |
| 107 | |
| 108 | // XTx[2][j] = x[2][j] - x[1][j]; |
| 109 | XTx[2][j] = vsubq_f32(x[2][j], x[1][j]); |
| 110 | |
| 111 | // XTx[3][j] = x[1][j] - x[3][j]; |
| 112 | XTx[3][j] = vsubq_f32(x[1][j], x[3][j]); |
| 113 | } |
| 114 | |
| 115 | // Compute U = XT . x . X |
| 116 | for (int i = 0; i < inner_tile_rows; i++) |
| 117 | { |
| 118 | // U[i][0] = XTx[i][0] - XTx[i][2]; |
| 119 | U[i][0] = vsubq_f32(XTx[i][0], XTx[i][2]); |
| 120 | |
| 121 | // U[i][1] = XTx[i][1] + XTx[i][2]; |
| 122 | U[i][1] = vaddq_f32(XTx[i][1], XTx[i][2]); |
| 123 | |
| 124 | // U[i][2] = XTx[i][2] - XTx[i][1]; |
| 125 | U[i][2] = vsubq_f32(XTx[i][2], XTx[i][1]); |
| 126 | |
| 127 | // U[i][3] = XTx[i][1] - XTx[i][3]; |
| 128 | U[i][3] = vsubq_f32(XTx[i][1], XTx[i][3]); |
| 129 | } |
| 130 | |
| 131 | // Store the transformed matrix |
| 132 | for (int i = 0, m = 0; i < inner_tile_rows; i++) |
| 133 | { |
| 134 | for (int j = 0; j < inner_tile_cols; j++, m++) |
| 135 | { |
| 136 | vst1q_f32(outptr + m*matrix_stride, U[i][j]); |
| 137 | } |
| 138 | } |
| 139 | outptr += 4; |
| 140 | } |
| 141 | #endif // __aarch64__ |
| 142 | #ifdef __arm_any__ |
| 143 | for (; channels_remaining >= 2; channels_remaining -= 2) |
| 144 | { |
| 145 | // Matrices used/computed in this kernel. |
| 146 | float32x2_t x[inner_tile_rows][inner_tile_cols]; |
| 147 | float32x2_t XTx[inner_tile_rows][inner_tile_cols]; |
| 148 | float32x2_t U[inner_tile_rows][inner_tile_cols]; |
| 149 | |
| 150 | for (int i = 0; i < inner_tile_rows; i++) |
| 151 | { |
| 152 | for (int j = 0; j < inner_tile_cols; j++) |
| 153 | { |
| 154 | x[i][j] = vdup_n_f32(0.0f); |
| 155 | XTx[i][j] = vdup_n_f32(0.0f); |
| 156 | } |
| 157 | } |
| 158 | |
| 159 | // Load x |
| 160 | for (int i = 0; i < inner_tile_rows; i++) |
| 161 | { |
| 162 | for (int j = 0; j < inner_tile_cols; j++) |
| 163 | { |
| 164 | x[i][j] = vld1_f32(x_ptrs[i][j]); |
| 165 | x_ptrs[i][j] += 2; |
| 166 | } |
| 167 | } |
| 168 | |
| 169 | // Compute XT . x |
| 170 | for (int j = 0; j < inner_tile_cols; j++) |
| 171 | { |
| 172 | // XTx[0][j] = x[0][j] - x[2][j]; |
| 173 | XTx[0][j] = vsub_f32(x[0][j], x[2][j]); |
| 174 | |
| 175 | // XTx[1][j] = x[1][j] + x[2][j]; |
| 176 | XTx[1][j] = vadd_f32(x[1][j], x[2][j]); |
| 177 | |
| 178 | // XTx[2][j] = x[2][j] - x[1][j]; |
| 179 | XTx[2][j] = vsub_f32(x[2][j], x[1][j]); |
| 180 | |
| 181 | // XTx[3][j] = x[1][j] - x[3][j]; |
| 182 | XTx[3][j] = vsub_f32(x[1][j], x[3][j]); |
| 183 | } |
| 184 | |
| 185 | // Compute U = XT . x . X |
| 186 | for (int i = 0; i < inner_tile_rows; i++) |
| 187 | { |
| 188 | // U[i][0] = XTx[i][0] - XTx[i][2]; |
| 189 | U[i][0] = vsub_f32(XTx[i][0], XTx[i][2]); |
| 190 | |
| 191 | // U[i][1] = XTx[i][1] + XTx[i][2]; |
| 192 | U[i][1] = vadd_f32(XTx[i][1], XTx[i][2]); |
| 193 | |
| 194 | // U[i][2] = XTx[i][2] - XTx[i][1]; |
| 195 | U[i][2] = vsub_f32(XTx[i][2], XTx[i][1]); |
| 196 | |
| 197 | // U[i][3] = XTx[i][1] - XTx[i][3]; |
| 198 | U[i][3] = vsub_f32(XTx[i][1], XTx[i][3]); |
| 199 | } |
| 200 | |
| 201 | // Store the transformed matrix |
| 202 | for (int i = 0, m = 0; i < inner_tile_rows; i++) |
| 203 | { |
| 204 | for (int j = 0; j < inner_tile_cols; j++, m++) |
| 205 | { |
| 206 | vst1_f32(outptr + m*matrix_stride, U[i][j]); |
| 207 | } |
| 208 | } |
| 209 | outptr += 2; |
| 210 | } |
| 211 | #endif // __arm_any__ |
| 212 | for (; channels_remaining; channels_remaining--) |
| 213 | { |
| 214 | // Load x |
| 215 | for (int i = 0; i < inner_tile_rows; i++) |
| 216 | { |
| 217 | for (int j = 0; j < inner_tile_cols; j++) |
| 218 | { |
| 219 | x[i][j] = *(x_ptrs[i][j]++); |
| 220 | } |
| 221 | } |
| 222 | |
| 223 | // Compute XT . x |
| 224 | for (int j = 0; j < inner_tile_cols; j++) |
| 225 | { |
| 226 | XTx[0][j] = x[0][j] - x[2][j]; |
| 227 | XTx[1][j] = x[1][j] + x[2][j]; |
| 228 | XTx[2][j] = x[2][j] - x[1][j]; |
| 229 | XTx[3][j] = x[1][j] - x[3][j]; |
| 230 | } |
| 231 | |
| 232 | // Compute U = XT . x . X |
| 233 | for (int i = 0; i < inner_tile_rows; i++) |
| 234 | { |
| 235 | U[i][0] = XTx[i][0] - XTx[i][2]; |
| 236 | U[i][1] = XTx[i][1] + XTx[i][2]; |
| 237 | U[i][2] = XTx[i][2] - XTx[i][1]; |
| 238 | U[i][3] = XTx[i][1] - XTx[i][3]; |
| 239 | } |
| 240 | |
| 241 | // Store the transformed matrix |
| 242 | for (int i = 0, m = 0; i < inner_tile_rows; i++) |
| 243 | { |
| 244 | for (int j = 0; j < inner_tile_cols; j++, m++) |
| 245 | { |
| 246 | *(outptr + m*matrix_stride) = U[i][j]; |
| 247 | } |
| 248 | } |
| 249 | outptr++; |
| 250 | } |
| 251 | } |
| 252 | |
| 253 | template class InputTransform<4, 4, float, float, WinogradRoots::Integers>; |
| 254 | |
| 255 | } // namespace |