Giorgio Arena | 945ae9e | 2021-10-13 11:13:04 +0100 | [diff] [blame] | 1 | /* |
Michalis Spyrou | b1fcefd | 2022-06-15 19:02:28 +0100 | [diff] [blame] | 2 | * Copyright (c) 2021-2022 Arm Limited. |
Giorgio Arena | 945ae9e | 2021-10-13 11:13:04 +0100 | [diff] [blame] | 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 "helpers.h" |
| 26 | #include "tile_helpers.h" |
| 27 | |
| 28 | //! @cond Doxygen_Suppress |
Giorgio Arena | 273c28c | 2021-10-14 15:59:15 +0100 | [diff] [blame] | 29 | /** OpenCL kernel to compute the direct convolution 3d. |
Giorgio Arena | 945ae9e | 2021-10-13 11:13:04 +0100 | [diff] [blame] | 30 | * |
| 31 | * @note Data layout supported: NDHWC |
Giorgio Arena | 51847d5 | 2021-10-19 15:45:57 +0100 | [diff] [blame] | 32 | * @note Data type supported: F32/F16/QASYMM8/QASYMM8_SIGNED |
Giorgio Arena | 945ae9e | 2021-10-13 11:13:04 +0100 | [diff] [blame] | 33 | * @note The accumulation data type must be passed at compile time using -DDATA_TYPE (e.g. -DDATA_TYPE_PROMOTED=half) |
| 34 | * @note The convolution padding (left, top and front) must be passed at compile time using -DPAD_LEFT, -DPAD_TOP and -DPAD_FRONT (e.g. -DPAD_LEFT=2, -DPAD_TOP=2, -DPAD_FRONT=2) |
| 35 | * @note The convolution strides must be passed at compile time using -DSTRIDE_X, -DSTRIDE_Y and -DSTRIDE_Z (e.g. -DSTRIDE_X=2, -DSTRIDE_Y=2, -DSTRIDE_Z=2) |
| 36 | * @note The spatial dimensions of the weights must be passed at compile time using -DWEI_WIDTH, -DWEI_HEIGHT and -DWEI_DEPTH (e.g. -DWEI_WIDTH=9, -DWEI_HEIGHT=9, -DWEI_DEPTH=9) |
| 37 | * @note The spatial dimensions of the source tensor must be passed at compile time using -DSRC_WIDTH, -DSRC_HEIGHT and -DSRC_DEPTH (e.g. -DSRC_WIDTH=96, -DSRC_HEIGHT=64, -DSRC_DEPTH=32) |
| 38 | * @note The spatial dimensions of the destination tensor must be passed at compile time using -DDST_WIDTH, -DDST_HEIGHT and -DDST_DEPTH (e.g. -DDST_WIDTH=96, -DDST_HEIGHT=64, -DDST_DEPTH=32) |
| 39 | * @note The channels of the source tensor must be passed at compile time using -DSRC_CHANNELS (e.g. -DSRC_CHANNELS=64) |
Giorgio Arena | 273c28c | 2021-10-14 15:59:15 +0100 | [diff] [blame] | 40 | * @note The channels of the destination tensor must be passed at compile time using -DDST_CHANNELS (e.g. -DDST_CHANNELS=64) |
| 41 | * @note The data type must be passed at compile time using -DDATA_TYPE (e.g. -DDATA_TYPE=half) |
| 42 | * @note The data type of the accumulators must be passed at compile time using -DACC_DATA_TYPE (e.g. -DACC_DATA_TYPE=float) |
Giorgio Arena | 945ae9e | 2021-10-13 11:13:04 +0100 | [diff] [blame] | 43 | * @note The number of M0 rows (width*height) to process must be passed at compile time using -DM0 (e.g. -DM0=2) |
| 44 | * @note The number of N0 output channels to process must be passed at compile time using -DN0 (e.g. -DN0=2) |
| 45 | * @note The number of K0 inner accumulations must be passed at compile time using -DK0 (e.g. -DK0=2) |
| 46 | * @note The size of the partial store block in x must be passed at compile time using -DPARTIAL_N0 (e.g. -DPARTIAL_N0=1) |
Giorgio Arena | 51847d5 | 2021-10-19 15:45:57 +0100 | [diff] [blame] | 47 | * @note The zero value must be passed at compile time using -DZERO_VALUE (e.g. -DZERO_VALUE=0) |
Giorgio Arena | 945ae9e | 2021-10-13 11:13:04 +0100 | [diff] [blame] | 48 | * @note Only the following configurations of M0, N0 and K0 are currently supported: |
| 49 | * - M0 = 1, 2, 3, 4, 5, .... n |
| 50 | * - N0 = 2, 3, 4, 8, 16 |
| 51 | * - K0 = 2, 3, 4, 8, 16 |
| 52 | * |
Giorgio Arena | 51847d5 | 2021-10-19 15:45:57 +0100 | [diff] [blame] | 53 | * @note In case of QASYMM8/QASYMM8_SIGNED, the following extra information must be passed at compile time: |
| 54 | * - -DIS_QUANTIZED |
| 55 | * - The destination quantization multiplier e.g. -DDST_MULTIPLIER=1234 |
| 56 | * - The destination quantization shift e.g. -DDST_SHIFT=4 |
| 57 | * - The destination offset e.g. -DDST_OFFSET=4 |
| 58 | * - The source offset e.g. -DSRC_OFFSET=4 |
| 59 | * - The weights offset e.g. -DWEI_OFFSET=4 |
| 60 | * - The quantized zero value e.g. -DZERO_VALUE=4 |
| 61 | * |
| 62 | * @note If biases are used then -DHAS_BIAS has to be passed at compile time along with its tensor type by using -DBIA_DATA_TYPE (e.g. -DBIA_DATA_TYPE=int). |
Giorgio Arena | 945ae9e | 2021-10-13 11:13:04 +0100 | [diff] [blame] | 63 | * |
| 64 | * @param[in] src_ptr Pointer to the source tensor. Supported data type: F16/F32 |
| 65 | * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| 66 | * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| 67 | * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| 68 | * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| 69 | * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 70 | * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| 71 | * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes) |
| 72 | * @param[in] src_step_w src_stride_w * number of elements along W processed per workitem(in bytes) |
| 73 | * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| 74 | * @param[out] dst_ptr Pointer to the destination tensor. Supported data type: same as @p src_ptr |
| 75 | * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 76 | * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| 77 | * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 78 | * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| 79 | * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| 80 | * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) |
| 81 | * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes) |
| 82 | * @param[in] dst_step_w dst_stride_w * number of elements along W processed per workitem(in bytes) |
| 83 | * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| 84 | * @param[in] wei_ptr Pointer to the weights tensor. Supported data type: same as @p src_ptr |
| 85 | * @param[in] wei_stride_x Stride of the weights tensor in X dimension (in bytes) |
| 86 | * @param[in] wei_step_x wei_stride_x * number of elements along X processed per workitem(in bytes) |
| 87 | * @param[in] wei_stride_y Stride of the weights tensor in Y dimension (in bytes) |
| 88 | * @param[in] wei_step_y wei_stride_y * number of elements along Y processed per workitem(in bytes) |
| 89 | * @param[in] wei_stride_z Stride of the weights tensor in Z dimension (in bytes) |
| 90 | * @param[in] wei_step_z wei_stride_z * number of elements along Z processed per workitem(in bytes) |
| 91 | * @param[in] wei_stride_w Stride of the weights tensor in W dimension (in bytes) |
| 92 | * @param[in] wei_step_w wei_stride_w * number of elements along W processed per workitem(in bytes) |
| 93 | * @param[in] wei_offset_first_element_in_bytes The offset of the first element in the weights matrix |
| 94 | * @param[in] bia_ptr (Optional) Pointer to the bias tensor Supported data type: same as @p src_ptr |
| 95 | * @param[in] bia_stride_x (Optional) Stride of the bias tensor in X dimension (in bytes) |
| 96 | * @param[in] bia_step_x (Optional) bia_stride_x * number of elements along X processed per workitem(in bytes) |
| 97 | * @param[in] bia_offset_first_element_in_bytes (Optional) The offset of the first element in the bias matrix |
| 98 | */ |
| 99 | //! @endcond |
| 100 | __kernel void direct_convolution3d_ndhwc( |
| 101 | TENSOR4D(src, BUFFER), |
| 102 | TENSOR4D(dst, BUFFER), |
| 103 | TENSOR4D(wei, BUFFER) |
| 104 | #if defined(HAS_BIAS) |
| 105 | , |
| 106 | VECTOR_DECLARATION(bia) |
| 107 | #endif // defined(HAS_BIAS) |
| 108 | ) |
| 109 | { |
| 110 | #define _IWEI_WIDTH WEI_WIDTH |
| 111 | #define _IWEI_HEIGHT WEI_HEIGHT |
| 112 | #define _IWEI_DEPTH WEI_DEPTH |
| 113 | #define _ISRC_WIDTH SRC_WIDTH |
| 114 | #define _ISRC_HEIGHT SRC_HEIGHT |
| 115 | #define _ISRC_DEPTH SRC_DEPTH |
| 116 | #define _ISRC_CHANNELS SRC_CHANNELS |
| 117 | #define _IDST_WIDTH DST_WIDTH |
| 118 | #define _IDST_HEIGHT DST_HEIGHT |
| 119 | #define _IDST_DEPTH DST_DEPTH |
| 120 | #define _IDST_CHANNELS DST_CHANNELS |
| 121 | #define _IY_MULTIPLIER (_IWEI_WIDTH * _IWEI_HEIGHT * _IWEI_DEPTH) |
| 122 | |
Giorgio Arena | 51847d5 | 2021-10-19 15:45:57 +0100 | [diff] [blame] | 123 | // If quantized, the output tile has to be quantized first before being stored to global memory |
| 124 | #if defined(IS_QUANTIZED) |
| 125 | #define _IOUTPUT_TILE cq |
| 126 | #else // defined(IS_QUANTIZED) |
| 127 | #define _IOUTPUT_TILE c |
| 128 | #endif // defined(IS_QUANTIZED) |
| 129 | |
Giorgio Arena | 945ae9e | 2021-10-13 11:13:04 +0100 | [diff] [blame] | 130 | const int cout = GET_SPATIAL_IDX(0, N0, PARTIAL_N0); // OFM |
| 131 | const int mout = GET_SPATIAL_IDX(1, M0, 0); // WIDTH x HEIGHT x DEPTH |
| 132 | const int bout = GET_SPATIAL_IDX(2, 1, 0); // BATCH SIZE IDX |
| 133 | |
| 134 | TILE(int, M0, 1, xi); |
| 135 | TILE(int, M0, 1, yi); |
| 136 | TILE(int, M0, 1, zi); |
| 137 | |
| 138 | // Convert the linear index to coordinate |
| 139 | LOOP_UNROLLING(int, i, 0, 1, M0, |
| 140 | { |
| 141 | xi[i].v = ((mout + i) % _IDST_WIDTH) * STRIDE_X; |
| 142 | yi[i].v = (((mout + i) / _IDST_WIDTH) % _IDST_HEIGHT) * STRIDE_Y; |
| 143 | zi[i].v = (((mout + i) / (_IDST_WIDTH * _IDST_HEIGHT)) % _IDST_DEPTH) * STRIDE_Z; |
| 144 | |
| 145 | xi[i].v -= PAD_LEFT; |
| 146 | yi[i].v -= PAD_TOP; |
| 147 | zi[i].v -= PAD_FRONT; |
| 148 | }) |
| 149 | |
| 150 | // Initialize the accumulators |
| 151 | TILE(ACC_DATA_TYPE, M0, N0, c); |
| 152 | |
| 153 | LOOP_UNROLLING(int, i, 0, 1, M0, |
| 154 | { |
| 155 | c[i].v = (ACC_DATA_TYPE)0; |
| 156 | }) |
| 157 | |
| 158 | for(int i = 0; i < _IY_MULTIPLIER; ++i) |
| 159 | { |
| 160 | int ck = 0; |
| 161 | int xk = i % _IWEI_WIDTH; |
| 162 | int yk = (i / _IWEI_WIDTH) % _IWEI_HEIGHT; |
| 163 | int zk = i / (_IWEI_WIDTH * _IWEI_HEIGHT); |
| 164 | |
Giorgio Arena | 945ae9e | 2021-10-13 11:13:04 +0100 | [diff] [blame] | 165 | int k = 0; |
| 166 | for(; k <= (_ISRC_CHANNELS - K0); k += K0) |
| 167 | { |
| 168 | TILE(DATA_TYPE, M0, K0, a); |
| 169 | TILE(DATA_TYPE, N0, K0, b); |
| 170 | |
| 171 | LOOP_UNROLLING(int, i, 0, 1, M0, |
| 172 | { |
Giorgio Arena | 51847d5 | 2021-10-19 15:45:57 +0100 | [diff] [blame] | 173 | a[i].v = ZERO_VALUE; |
Giorgio Arena | 945ae9e | 2021-10-13 11:13:04 +0100 | [diff] [blame] | 174 | }) |
| 175 | |
| 176 | // Load tile from the src tensor |
| 177 | T_LOAD_NDHWC_INDIRECT(DATA_TYPE, M0, K0, BUFFER, src, bout, zk, yk, xk, ck, _ISRC_WIDTH, _ISRC_HEIGHT, _ISRC_DEPTH, src_stride_y, xi, yi, zi, a); |
| 178 | |
| 179 | // Load tile from the weights tensor |
| 180 | const int b_offs = k + (xk * _ISRC_CHANNELS) + (yk * _ISRC_CHANNELS * _IWEI_WIDTH) + (zk * _ISRC_CHANNELS * _IWEI_WIDTH * _IWEI_HEIGHT); |
| 181 | LOOP_UNROLLING(int, i, 0, 1, N0, |
| 182 | { |
| 183 | if((cout + i) < _IDST_CHANNELS) |
| 184 | { |
| 185 | LOOP_UNROLLING(int, j, 0, 1, K0, |
| 186 | { |
| 187 | b[i].s[j] = *(__global DATA_TYPE *)(wei_ptr + wei_offset_first_element_in_bytes + (cout + i) * sizeof(DATA_TYPE) + j * wei_stride_y + b_offs * wei_stride_y); |
| 188 | }) |
| 189 | } |
| 190 | }) |
| 191 | |
| 192 | // Compute the matrix multiplication between two tiles |
| 193 | T_MMUL(DATA_TYPE, DATA_TYPE, ACC_DATA_TYPE, M0, N0, K0, NT, T, a, b, c); |
| 194 | |
Giorgio Arena | 51847d5 | 2021-10-19 15:45:57 +0100 | [diff] [blame] | 195 | // Apply the offset correction (correction usually needed for asymmetric quantized computation) |
| 196 | // The computation is not performed if both SRC_OFFSET and WEI_OFFSET are zero |
| 197 | T_OFFSET_CORRECTION(ACC_DATA_TYPE, M0, N0, K0, SRC_OFFSET, WEI_OFFSET, a, b, c); |
| 198 | |
Giorgio Arena | 945ae9e | 2021-10-13 11:13:04 +0100 | [diff] [blame] | 199 | ck += K0; |
| 200 | } |
| 201 | |
| 202 | #if((_ISRC_CHANNELS % K0) != 0) |
| 203 | // Left-over accumulations |
| 204 | for(; k < _ISRC_CHANNELS; ++k) |
| 205 | { |
| 206 | TILE(DATA_TYPE, M0, 1, a); |
| 207 | TILE(DATA_TYPE, N0, 1, b); |
| 208 | |
| 209 | LOOP_UNROLLING(int, i, 0, 1, M0, |
| 210 | { |
Giorgio Arena | 51847d5 | 2021-10-19 15:45:57 +0100 | [diff] [blame] | 211 | a[i].v = ZERO_VALUE; |
Giorgio Arena | 945ae9e | 2021-10-13 11:13:04 +0100 | [diff] [blame] | 212 | }) |
| 213 | |
| 214 | // Load tile from the src tensor |
| 215 | T_LOAD_NDHWC_INDIRECT(DATA_TYPE, M0, 1, BUFFER, src, bout, zk, yk, xk, ck, _ISRC_WIDTH, _ISRC_HEIGHT, _ISRC_DEPTH, src_stride_y, xi, yi, zi, a); |
| 216 | |
| 217 | // Load tile from the weights tensor |
| 218 | const int b_offs = k + (xk * _ISRC_CHANNELS) + (yk * _ISRC_CHANNELS * _IWEI_WIDTH) + (zk * _ISRC_CHANNELS * _IWEI_WIDTH * _IWEI_HEIGHT); |
| 219 | LOOP_UNROLLING(int, i, 0, 1, N0, |
| 220 | { |
| 221 | if((cout + i) < _IDST_CHANNELS) |
| 222 | { |
| 223 | b[i].v = *(__global DATA_TYPE *)(wei_ptr + wei_offset_first_element_in_bytes + (cout + i) * sizeof(DATA_TYPE) + b_offs * wei_stride_y); |
| 224 | } |
| 225 | }) |
| 226 | |
| 227 | // // Compute the matrix multiplication between two tiles |
| 228 | T_MMUL(DATA_TYPE, DATA_TYPE, ACC_DATA_TYPE, M0, N0, 1, NT, T, a, b, c); |
| 229 | |
Giorgio Arena | 51847d5 | 2021-10-19 15:45:57 +0100 | [diff] [blame] | 230 | // Apply the offset correction (operation usually needed for asymmetric quantized computation) |
| 231 | // The computation is not performed if both SRC_OFFSET and WEI_OFFSET are zero |
| 232 | T_OFFSET_CORRECTION(ACC_DATA_TYPE, M0, N0, 1, SRC_OFFSET, WEI_OFFSET, a, b, c); |
| 233 | |
Giorgio Arena | 945ae9e | 2021-10-13 11:13:04 +0100 | [diff] [blame] | 234 | ++ck; |
| 235 | } |
| 236 | #endif // ((_ISRC_CHANNELS % K0) != 0) |
| 237 | } |
| 238 | |
Giorgio Arena | 51847d5 | 2021-10-19 15:45:57 +0100 | [diff] [blame] | 239 | // Offset correction required for the quantized asymmetric computation |
| 240 | // The computation is not performed if both SRC_OFFSET and WEI_OFFSET are zero |
| 241 | T_ADD_CONSTANT(ACC_DATA_TYPE, M0, N0, c, (_IWEI_WIDTH * _IWEI_HEIGHT * _IWEI_DEPTH * _ISRC_CHANNELS * SRC_OFFSET * WEI_OFFSET), c); |
| 242 | |
Giorgio Arena | 945ae9e | 2021-10-13 11:13:04 +0100 | [diff] [blame] | 243 | #if defined(HAS_BIAS) |
Giorgio Arena | 51847d5 | 2021-10-19 15:45:57 +0100 | [diff] [blame] | 244 | TILE(BIA_DATA_TYPE, 1, N0, bias0); |
Giorgio Arena | 945ae9e | 2021-10-13 11:13:04 +0100 | [diff] [blame] | 245 | |
| 246 | if((cout + N0) <= _IDST_CHANNELS) |
| 247 | { |
Giorgio Arena | 51847d5 | 2021-10-19 15:45:57 +0100 | [diff] [blame] | 248 | bias0[0].v = VLOAD(N0)(0, (__global BIA_DATA_TYPE *)(bia_ptr + bia_offset_first_element_in_bytes + cout * sizeof(BIA_DATA_TYPE))); |
Giorgio Arena | 945ae9e | 2021-10-13 11:13:04 +0100 | [diff] [blame] | 249 | } |
| 250 | else |
| 251 | { |
| 252 | VLOAD_PARTIAL(N0, PARTIAL_N0) |
Giorgio Arena | 51847d5 | 2021-10-19 15:45:57 +0100 | [diff] [blame] | 253 | (bias0[0].v, 0, (__global BIA_DATA_TYPE *)(bia_ptr + bia_offset_first_element_in_bytes + cout * sizeof(BIA_DATA_TYPE))); |
Giorgio Arena | 945ae9e | 2021-10-13 11:13:04 +0100 | [diff] [blame] | 254 | } |
| 255 | |
| 256 | // c = c + bias[broadcasted] |
Michalis Spyrou | b1fcefd | 2022-06-15 19:02:28 +0100 | [diff] [blame] | 257 | T_ELTWISE_BROADCAST_ADD_X(ACC_DATA_TYPE, M0, N0, c, bias0, c); |
Giorgio Arena | 945ae9e | 2021-10-13 11:13:04 +0100 | [diff] [blame] | 258 | |
| 259 | #endif // HAS_BIAS |
| 260 | |
| 261 | TILE(uint, M0, 1, dst_indirect_y); |
| 262 | |
| 263 | // Calculate the destination indirect Y |
| 264 | LOOP_UNROLLING(int, i, 0, 1, M0, |
| 265 | { |
| 266 | dst_indirect_y[i].v = (uint)min(mout + i, (int)(_IDST_WIDTH *_IDST_HEIGHT * _IDST_DEPTH) - 1); |
| 267 | dst_indirect_y[i].v += bout * (int)(_IDST_WIDTH *_IDST_HEIGHT * _IDST_DEPTH); |
| 268 | }) |
| 269 | |
Giorgio Arena | 51847d5 | 2021-10-19 15:45:57 +0100 | [diff] [blame] | 270 | #if defined(IS_QUANTIZED) |
| 271 | TILE(DATA_TYPE, M0, N0, cq); |
| 272 | |
| 273 | // Quantize the tile |
| 274 | T_QUANTIZE8_ASYMMETRIC(ACC_DATA_TYPE, DATA_TYPE, M0, N0, DST_OFFSET, DST_SHIFT, DST_MULTIPLIER, c, cq); |
| 275 | #endif // defined(IS_QUANTIZED) |
| 276 | |
Giorgio Arena | 945ae9e | 2021-10-13 11:13:04 +0100 | [diff] [blame] | 277 | bool x_cond = PARTIAL_N0 != 0 && get_global_id(0) == 0; |
| 278 | |
| 279 | // Store the tile in reverse order so the invalid values are overwritten with the valid ones |
Giorgio Arena | 51847d5 | 2021-10-19 15:45:57 +0100 | [diff] [blame] | 280 | T_STORE_INDIRECT_WIDTH_SELECT(DATA_TYPE, M0, N0, PARTIAL_N0, BUFFER, dst, cout, dst_stride_y, x_cond, _IOUTPUT_TILE, dst_indirect_y); |
Giorgio Arena | 945ae9e | 2021-10-13 11:13:04 +0100 | [diff] [blame] | 281 | } |