Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 1 | /* |
Viet-Hoa Do | b3077fb | 2023-01-03 17:59:14 +0000 | [diff] [blame] | 2 | * Copyright (c) 2021-2023 Arm Limited. |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [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 | */ |
Ramy Elgammal | 2b6ebfe | 2023-03-09 21:15:37 +0000 | [diff] [blame] | 24 | #ifndef ACL_SRC_CORE_CL_CL_KERNELS_TILE_HELPERS |
| 25 | #define ACL_SRC_CORE_CL_CL_KERNELS_TILE_HELPERS |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 26 | |
Giorgio Arena | bdd16d1 | 2021-05-13 16:58:51 +0100 | [diff] [blame] | 27 | // *INDENT-OFF* |
| 28 | // clang-format off |
| 29 | |
Gian Marco Iodice | 8155c02 | 2021-04-16 15:08:59 +0100 | [diff] [blame] | 30 | #define TILE_VECTOR_SIZE1 1 |
| 31 | #define TILE_VECTOR_SIZE2 2 |
| 32 | #define TILE_VECTOR_SIZE3 3 |
| 33 | #define TILE_VECTOR_SIZE4 4 |
| 34 | #define TILE_VECTOR_SIZE5 8 |
| 35 | #define TILE_VECTOR_SIZE6 8 |
| 36 | #define TILE_VECTOR_SIZE7 8 |
| 37 | #define TILE_VECTOR_SIZE8 8 |
| 38 | #define TILE_VECTOR_SIZE9 16 |
| 39 | #define TILE_VECTOR_SIZE10 16 |
| 40 | #define TILE_VECTOR_SIZE11 16 |
| 41 | #define TILE_VECTOR_SIZE12 16 |
| 42 | #define TILE_VECTOR_SIZE13 16 |
| 43 | #define TILE_VECTOR_SIZE14 16 |
| 44 | #define TILE_VECTOR_SIZE15 16 |
| 45 | #define TILE_VECTOR_SIZE16 16 |
| 46 | |
| 47 | #define TILE_VECTOR_TYPE1(DATA_TYPE) DATA_TYPE##1 |
| 48 | #define TILE_VECTOR_TYPE2(DATA_TYPE) DATA_TYPE##2 |
| 49 | #define TILE_VECTOR_TYPE3(DATA_TYPE) DATA_TYPE##3 |
| 50 | #define TILE_VECTOR_TYPE4(DATA_TYPE) DATA_TYPE##4 |
| 51 | #define TILE_VECTOR_TYPE5(DATA_TYPE) DATA_TYPE##8 |
| 52 | #define TILE_VECTOR_TYPE6(DATA_TYPE) DATA_TYPE##8 |
| 53 | #define TILE_VECTOR_TYPE7(DATA_TYPE) DATA_TYPE##8 |
| 54 | #define TILE_VECTOR_TYPE8(DATA_TYPE) DATA_TYPE##8 |
| 55 | #define TILE_VECTOR_TYPE9(DATA_TYPE) DATA_TYPE##16 |
| 56 | #define TILE_VECTOR_TYPE10(DATA_TYPE) DATA_TYPE##16 |
| 57 | #define TILE_VECTOR_TYPE11(DATA_TYPE) DATA_TYPE##16 |
| 58 | #define TILE_VECTOR_TYPE12(DATA_TYPE) DATA_TYPE##16 |
| 59 | #define TILE_VECTOR_TYPE13(DATA_TYPE) DATA_TYPE##16 |
| 60 | #define TILE_VECTOR_TYPE14(DATA_TYPE) DATA_TYPE##16 |
| 61 | #define TILE_VECTOR_TYPE15(DATA_TYPE) DATA_TYPE##16 |
| 62 | #define TILE_VECTOR_TYPE16(DATA_TYPE) DATA_TYPE##16 |
| 63 | |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 64 | /** Tile object |
| 65 | * A tile object is a 2D memory block and can be accessed using the following syntax: |
| 66 | * -# a[m0].v = access the the vector at row "m0" (OpenCL vector) |
Ramy Elgammal | 404462a | 2022-11-08 02:14:46 +0000 | [diff] [blame] | 67 | * -# dst[m0].s[n0] = access the scalar element at row "m0" and column "n0" (scalar access) |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 68 | * |
| 69 | * @param[in] DATA_TYPE Data type of the tile |
| 70 | * @param[in] H Number of tile rows |
| 71 | * @param[in] W Number of tile colums |
| 72 | * @param[in] BASENAME Tile's name |
| 73 | */ |
| 74 | #define TILE(DATA_TYPE, H, W, BASENAME) TILE_STR(DATA_TYPE, H, W, BASENAME) |
| 75 | #define TILE_STR(DATA_TYPE, H, W, BASENAME) \ |
| 76 | union { \ |
Gian Marco Iodice | 8155c02 | 2021-04-16 15:08:59 +0100 | [diff] [blame] | 77 | DATA_TYPE s[TILE_VECTOR_SIZE##W]; \ |
| 78 | TILE_VECTOR_TYPE##W(DATA_TYPE) v; \ |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 79 | } BASENAME[H] |
| 80 | |
Giorgio Arena | bdd16d1 | 2021-05-13 16:58:51 +0100 | [diff] [blame] | 81 | #define TENSOR4D_IMAGE(name) \ |
| 82 | __read_only image2d_t name##_img, \ |
| 83 | __global uchar *name##_ptr, \ |
| 84 | uint name##_stride_x, \ |
| 85 | uint name##_step_x, \ |
| 86 | uint name##_stride_y, \ |
| 87 | uint name##_step_y, \ |
| 88 | uint name##_stride_z, \ |
| 89 | uint name##_step_z, \ |
| 90 | uint name##_stride_w, \ |
| 91 | uint name##_step_w, \ |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 92 | uint name##_offset_first_element_in_bytes |
| 93 | |
Giorgio Arena | bdd16d1 | 2021-05-13 16:58:51 +0100 | [diff] [blame] | 94 | #define TENSOR4D_BUFFER(name) \ |
| 95 | __global uchar *name##_ptr, \ |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 96 | uint name##_stride_x, \ |
| 97 | uint name##_step_x, \ |
| 98 | uint name##_stride_y, \ |
| 99 | uint name##_step_y, \ |
| 100 | uint name##_stride_z, \ |
| 101 | uint name##_step_z, \ |
| 102 | uint name##_stride_w, \ |
| 103 | uint name##_step_w, \ |
| 104 | uint name##_offset_first_element_in_bytes |
| 105 | |
| 106 | #define TENSOR4D_STR(name, type) TENSOR4D_##type(name) |
| 107 | #define TENSOR4D(name, type) TENSOR4D_STR(name, type) |
| 108 | |
Adnan AlSinan | 17975a6 | 2021-11-08 17:46:39 +0000 | [diff] [blame] | 109 | #define TENSOR4D_T_IMAGE(name) \ |
| 110 | __read_only image2d_t name##_img, \ |
| 111 | __global uchar *name##_ptr, \ |
| 112 | uint name##_stride_y, \ |
| 113 | uint name##_stride_z, \ |
| 114 | uint name##_stride_w, \ |
| 115 | uint name##_c, \ |
| 116 | uint name##_w, \ |
| 117 | uint name##_h, \ |
| 118 | uint name##_n, \ |
| 119 | uint name##_offset_first_element_in_bytes |
| 120 | |
| 121 | #define TENSOR4D_T_BUFFER(name) \ |
| 122 | __global uchar *name##_ptr, \ |
| 123 | uint name##_stride_y, \ |
| 124 | uint name##_stride_z, \ |
| 125 | uint name##_stride_w, \ |
| 126 | uint name##_c, \ |
| 127 | uint name##_w, \ |
| 128 | uint name##_h, \ |
| 129 | uint name##_n, \ |
| 130 | uint name##_offset_first_element_in_bytes |
| 131 | |
| 132 | #define TENSOR4D_T_STR(name, type) TENSOR4D_T_##type(name) |
Gian Marco Iodice | 3cce35d | 2022-12-30 16:07:45 +0000 | [diff] [blame] | 133 | |
| 134 | /** Legacy tensor 4D arguments |
| 135 | * |
| 136 | * @param[in] name Tensor name. The tensor name is the prefix of the tensor components |
| 137 | * @param[in] type Tensor type (BUFFER or IMAGE) |
| 138 | */ |
Adnan AlSinan | 17975a6 | 2021-11-08 17:46:39 +0000 | [diff] [blame] | 139 | #define TENSOR4D_T(name, type) TENSOR4D_T_STR(name, type) |
| 140 | |
Gian Marco Iodice | 3cce35d | 2022-12-30 16:07:45 +0000 | [diff] [blame] | 141 | #define TENSOR4D_RO_T_IMAGE(name) \ |
| 142 | __read_only image2d_t name##_img, \ |
| 143 | TENSOR4D_T_BUFFER(name) |
| 144 | |
| 145 | #define TENSOR4D_RO_T_BUFFER(name) TENSOR4D_T_BUFFER(name) |
| 146 | |
| 147 | #define TENSOR4D_RO_T_STR(name, type) TENSOR4D_RO_T_##type(name) |
| 148 | |
| 149 | /** Read-Only (RO) tensor 4D. |
| 150 | * |
| 151 | * @param[in] name Tensor name. The tensor name is the prefix of the tensor components |
| 152 | * @param[in] type Tensor type (BUFFER or IMAGE) |
| 153 | */ |
| 154 | #define TENSOR4D_RO_T(name, type) TENSOR4D_RO_T_STR(name, type) |
| 155 | |
| 156 | #define TENSOR4D_WO_T_IMAGE(name) \ |
| 157 | __write_only image2d_t name##_img, \ |
| 158 | TENSOR4D_T_BUFFER(name) |
| 159 | |
| 160 | #define TENSOR4D_WO_T_BUFFER(name) TENSOR4D_T_BUFFER(name) |
| 161 | |
| 162 | #define TENSOR4D_WO_T_STR(name, type) TENSOR4D_WO_T_##type(name) |
| 163 | |
| 164 | /** Write-Only (WO) tensor 4D. |
| 165 | * |
| 166 | * @param[in] name Tensor name. The tensor name is the prefix of the tensor components |
| 167 | * @param[in] type Tensor type (BUFFER or IMAGE) |
| 168 | */ |
| 169 | #define TENSOR4D_WO_T(name, type) TENSOR4D_WO_T_STR(name, type) |
| 170 | |
Gian Marco Iodice | 4fb5670 | 2021-11-10 11:18:50 +0000 | [diff] [blame] | 171 | #define TENSOR3D_T_IMAGE(name) \ |
| 172 | __read_only image2d_t name##_img, \ |
| 173 | __global uchar *name##_ptr, \ |
| 174 | uint name##_stride_y, \ |
| 175 | uint name##_stride_z, \ |
| 176 | uint name##_w, \ |
| 177 | uint name##_h, \ |
| 178 | uint name##_n, \ |
| 179 | uint name##_offset_first_element_in_bytes |
| 180 | |
| 181 | #define TENSOR3D_T_BUFFER(name) \ |
| 182 | __global uchar *name##_ptr, \ |
| 183 | uint name##_stride_y, \ |
| 184 | uint name##_stride_z, \ |
| 185 | uint name##_w, \ |
| 186 | uint name##_h, \ |
| 187 | uint name##_n, \ |
| 188 | uint name##_offset_first_element_in_bytes |
| 189 | |
| 190 | #define TENSOR3D_T_STR(name, type) TENSOR3D_T_##type(name) |
| 191 | #define TENSOR3D_T(name, type) TENSOR3D_T_STR(name, type) |
| 192 | |
Giorgio Arena | ea8d266 | 2021-05-20 11:36:56 +0100 | [diff] [blame] | 193 | #if !defined(UNROLL_WITH_PRAGMA) |
Giorgio Arena | bdd16d1 | 2021-05-13 16:58:51 +0100 | [diff] [blame] | 194 | #define UNROLL_INCR(idx, step, macro) idx += (step); (macro) |
| 195 | |
| 196 | #define LOOP_UNROLLING_1(idx, step, macro) (macro) |
| 197 | #define LOOP_UNROLLING_2(idx, step, macro) LOOP_UNROLLING_1(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 198 | #define LOOP_UNROLLING_3(idx, step, macro) LOOP_UNROLLING_2(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 199 | #define LOOP_UNROLLING_4(idx, step, macro) LOOP_UNROLLING_3(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 200 | #define LOOP_UNROLLING_5(idx, step, macro) LOOP_UNROLLING_4(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 201 | #define LOOP_UNROLLING_6(idx, step, macro) LOOP_UNROLLING_5(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 202 | #define LOOP_UNROLLING_7(idx, step, macro) LOOP_UNROLLING_6(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 203 | #define LOOP_UNROLLING_8(idx, step, macro) LOOP_UNROLLING_7(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 204 | #define LOOP_UNROLLING_9(idx, step, macro) LOOP_UNROLLING_8(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 205 | #define LOOP_UNROLLING_10(idx, step, macro) LOOP_UNROLLING_9(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 206 | #define LOOP_UNROLLING_11(idx, step, macro) LOOP_UNROLLING_10(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 207 | #define LOOP_UNROLLING_12(idx, step, macro) LOOP_UNROLLING_11(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 208 | #define LOOP_UNROLLING_13(idx, step, macro) LOOP_UNROLLING_12(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 209 | #define LOOP_UNROLLING_14(idx, step, macro) LOOP_UNROLLING_13(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 210 | #define LOOP_UNROLLING_15(idx, step, macro) LOOP_UNROLLING_14(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 211 | #define LOOP_UNROLLING_16(idx, step, macro) LOOP_UNROLLING_15(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 212 | #define LOOP_UNROLLING_17(idx, step, macro) LOOP_UNROLLING_16(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 213 | #define LOOP_UNROLLING_18(idx, step, macro) LOOP_UNROLLING_17(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 214 | #define LOOP_UNROLLING_19(idx, step, macro) LOOP_UNROLLING_18(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 215 | #define LOOP_UNROLLING_20(idx, step, macro) LOOP_UNROLLING_19(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 216 | #define LOOP_UNROLLING_21(idx, step, macro) LOOP_UNROLLING_20(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 217 | #define LOOP_UNROLLING_22(idx, step, macro) LOOP_UNROLLING_21(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 218 | #define LOOP_UNROLLING_23(idx, step, macro) LOOP_UNROLLING_22(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 219 | #define LOOP_UNROLLING_24(idx, step, macro) LOOP_UNROLLING_23(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 220 | #define LOOP_UNROLLING_25(idx, step, macro) LOOP_UNROLLING_24(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 221 | #define LOOP_UNROLLING_26(idx, step, macro) LOOP_UNROLLING_25(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 222 | #define LOOP_UNROLLING_27(idx, step, macro) LOOP_UNROLLING_26(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 223 | #define LOOP_UNROLLING_28(idx, step, macro) LOOP_UNROLLING_27(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 224 | #define LOOP_UNROLLING_29(idx, step, macro) LOOP_UNROLLING_28(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 225 | #define LOOP_UNROLLING_30(idx, step, macro) LOOP_UNROLLING_29(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 226 | #define LOOP_UNROLLING_31(idx, step, macro) LOOP_UNROLLING_30(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 227 | #define LOOP_UNROLLING_32(idx, step, macro) LOOP_UNROLLING_31(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 228 | #define LOOP_UNROLLING_33(idx, step, macro) LOOP_UNROLLING_32(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 229 | #define LOOP_UNROLLING_34(idx, step, macro) LOOP_UNROLLING_33(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 230 | #define LOOP_UNROLLING_35(idx, step, macro) LOOP_UNROLLING_34(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 231 | #define LOOP_UNROLLING_36(idx, step, macro) LOOP_UNROLLING_35(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 232 | #define LOOP_UNROLLING_37(idx, step, macro) LOOP_UNROLLING_36(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 233 | #define LOOP_UNROLLING_38(idx, step, macro) LOOP_UNROLLING_37(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 234 | #define LOOP_UNROLLING_39(idx, step, macro) LOOP_UNROLLING_38(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 235 | #define LOOP_UNROLLING_40(idx, step, macro) LOOP_UNROLLING_39(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 236 | #define LOOP_UNROLLING_41(idx, step, macro) LOOP_UNROLLING_40(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 237 | #define LOOP_UNROLLING_42(idx, step, macro) LOOP_UNROLLING_41(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 238 | #define LOOP_UNROLLING_43(idx, step, macro) LOOP_UNROLLING_42(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 239 | #define LOOP_UNROLLING_44(idx, step, macro) LOOP_UNROLLING_43(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 240 | #define LOOP_UNROLLING_45(idx, step, macro) LOOP_UNROLLING_44(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 241 | #define LOOP_UNROLLING_46(idx, step, macro) LOOP_UNROLLING_45(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 242 | #define LOOP_UNROLLING_47(idx, step, macro) LOOP_UNROLLING_46(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 243 | #define LOOP_UNROLLING_48(idx, step, macro) LOOP_UNROLLING_47(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 244 | #define LOOP_UNROLLING_49(idx, step, macro) LOOP_UNROLLING_48(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 245 | #define LOOP_UNROLLING_50(idx, step, macro) LOOP_UNROLLING_49(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 246 | #define LOOP_UNROLLING_51(idx, step, macro) LOOP_UNROLLING_50(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 247 | #define LOOP_UNROLLING_52(idx, step, macro) LOOP_UNROLLING_51(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 248 | #define LOOP_UNROLLING_53(idx, step, macro) LOOP_UNROLLING_52(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 249 | #define LOOP_UNROLLING_54(idx, step, macro) LOOP_UNROLLING_53(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 250 | #define LOOP_UNROLLING_55(idx, step, macro) LOOP_UNROLLING_54(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 251 | #define LOOP_UNROLLING_56(idx, step, macro) LOOP_UNROLLING_55(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 252 | #define LOOP_UNROLLING_57(idx, step, macro) LOOP_UNROLLING_56(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 253 | #define LOOP_UNROLLING_58(idx, step, macro) LOOP_UNROLLING_57(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 254 | #define LOOP_UNROLLING_59(idx, step, macro) LOOP_UNROLLING_58(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 255 | #define LOOP_UNROLLING_60(idx, step, macro) LOOP_UNROLLING_59(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 256 | #define LOOP_UNROLLING_61(idx, step, macro) LOOP_UNROLLING_60(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 257 | #define LOOP_UNROLLING_62(idx, step, macro) LOOP_UNROLLING_61(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 258 | #define LOOP_UNROLLING_63(idx, step, macro) LOOP_UNROLLING_62(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 259 | #define LOOP_UNROLLING_64(idx, step, macro) LOOP_UNROLLING_63(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 260 | #define LOOP_UNROLLING_65(idx, step, macro) LOOP_UNROLLING_64(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 261 | #define LOOP_UNROLLING_66(idx, step, macro) LOOP_UNROLLING_65(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 262 | #define LOOP_UNROLLING_67(idx, step, macro) LOOP_UNROLLING_66(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 263 | #define LOOP_UNROLLING_68(idx, step, macro) LOOP_UNROLLING_67(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 264 | #define LOOP_UNROLLING_69(idx, step, macro) LOOP_UNROLLING_68(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 265 | #define LOOP_UNROLLING_70(idx, step, macro) LOOP_UNROLLING_69(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 266 | #define LOOP_UNROLLING_71(idx, step, macro) LOOP_UNROLLING_70(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 267 | #define LOOP_UNROLLING_72(idx, step, macro) LOOP_UNROLLING_71(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 268 | #define LOOP_UNROLLING_73(idx, step, macro) LOOP_UNROLLING_72(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 269 | #define LOOP_UNROLLING_74(idx, step, macro) LOOP_UNROLLING_73(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 270 | #define LOOP_UNROLLING_75(idx, step, macro) LOOP_UNROLLING_74(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 271 | #define LOOP_UNROLLING_76(idx, step, macro) LOOP_UNROLLING_75(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 272 | #define LOOP_UNROLLING_77(idx, step, macro) LOOP_UNROLLING_76(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 273 | #define LOOP_UNROLLING_78(idx, step, macro) LOOP_UNROLLING_77(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 274 | #define LOOP_UNROLLING_79(idx, step, macro) LOOP_UNROLLING_78(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 275 | #define LOOP_UNROLLING_80(idx, step, macro) LOOP_UNROLLING_79(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 276 | #define LOOP_UNROLLING_81(idx, step, macro) LOOP_UNROLLING_80(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 277 | #define LOOP_UNROLLING_82(idx, step, macro) LOOP_UNROLLING_81(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 278 | #define LOOP_UNROLLING_83(idx, step, macro) LOOP_UNROLLING_82(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 279 | #define LOOP_UNROLLING_84(idx, step, macro) LOOP_UNROLLING_83(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 280 | #define LOOP_UNROLLING_85(idx, step, macro) LOOP_UNROLLING_84(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 281 | #define LOOP_UNROLLING_86(idx, step, macro) LOOP_UNROLLING_85(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 282 | #define LOOP_UNROLLING_87(idx, step, macro) LOOP_UNROLLING_86(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 283 | #define LOOP_UNROLLING_88(idx, step, macro) LOOP_UNROLLING_87(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 284 | #define LOOP_UNROLLING_89(idx, step, macro) LOOP_UNROLLING_88(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 285 | #define LOOP_UNROLLING_90(idx, step, macro) LOOP_UNROLLING_89(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 286 | #define LOOP_UNROLLING_91(idx, step, macro) LOOP_UNROLLING_90(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 287 | #define LOOP_UNROLLING_92(idx, step, macro) LOOP_UNROLLING_91(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 288 | #define LOOP_UNROLLING_93(idx, step, macro) LOOP_UNROLLING_92(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 289 | #define LOOP_UNROLLING_94(idx, step, macro) LOOP_UNROLLING_93(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 290 | #define LOOP_UNROLLING_95(idx, step, macro) LOOP_UNROLLING_94(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 291 | #define LOOP_UNROLLING_96(idx, step, macro) LOOP_UNROLLING_95(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 292 | #define LOOP_UNROLLING_97(idx, step, macro) LOOP_UNROLLING_96(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 293 | #define LOOP_UNROLLING_98(idx, step, macro) LOOP_UNROLLING_97(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 294 | #define LOOP_UNROLLING_99(idx, step, macro) LOOP_UNROLLING_98(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 295 | #define LOOP_UNROLLING_100(idx, step, macro) LOOP_UNROLLING_99(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 296 | #define LOOP_UNROLLING_101(idx, step, macro) LOOP_UNROLLING_100(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 297 | #define LOOP_UNROLLING_102(idx, step, macro) LOOP_UNROLLING_101(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 298 | #define LOOP_UNROLLING_103(idx, step, macro) LOOP_UNROLLING_102(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 299 | #define LOOP_UNROLLING_104(idx, step, macro) LOOP_UNROLLING_103(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 300 | #define LOOP_UNROLLING_105(idx, step, macro) LOOP_UNROLLING_104(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 301 | #define LOOP_UNROLLING_106(idx, step, macro) LOOP_UNROLLING_105(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 302 | #define LOOP_UNROLLING_107(idx, step, macro) LOOP_UNROLLING_106(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 303 | #define LOOP_UNROLLING_108(idx, step, macro) LOOP_UNROLLING_107(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 304 | #define LOOP_UNROLLING_109(idx, step, macro) LOOP_UNROLLING_108(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 305 | #define LOOP_UNROLLING_110(idx, step, macro) LOOP_UNROLLING_109(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 306 | #define LOOP_UNROLLING_111(idx, step, macro) LOOP_UNROLLING_110(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 307 | #define LOOP_UNROLLING_112(idx, step, macro) LOOP_UNROLLING_111(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 308 | #define LOOP_UNROLLING_113(idx, step, macro) LOOP_UNROLLING_112(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 309 | #define LOOP_UNROLLING_114(idx, step, macro) LOOP_UNROLLING_113(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 310 | #define LOOP_UNROLLING_115(idx, step, macro) LOOP_UNROLLING_114(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 311 | #define LOOP_UNROLLING_116(idx, step, macro) LOOP_UNROLLING_115(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 312 | #define LOOP_UNROLLING_117(idx, step, macro) LOOP_UNROLLING_116(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 313 | #define LOOP_UNROLLING_118(idx, step, macro) LOOP_UNROLLING_117(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 314 | #define LOOP_UNROLLING_119(idx, step, macro) LOOP_UNROLLING_118(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 315 | #define LOOP_UNROLLING_120(idx, step, macro) LOOP_UNROLLING_119(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 316 | #define LOOP_UNROLLING_121(idx, step, macro) LOOP_UNROLLING_120(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 317 | #define LOOP_UNROLLING_122(idx, step, macro) LOOP_UNROLLING_121(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 318 | #define LOOP_UNROLLING_123(idx, step, macro) LOOP_UNROLLING_122(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 319 | #define LOOP_UNROLLING_124(idx, step, macro) LOOP_UNROLLING_123(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 320 | #define LOOP_UNROLLING_125(idx, step, macro) LOOP_UNROLLING_124(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 321 | #define LOOP_UNROLLING_126(idx, step, macro) LOOP_UNROLLING_125(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 322 | #define LOOP_UNROLLING_127(idx, step, macro) LOOP_UNROLLING_126(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 323 | #define LOOP_UNROLLING_128(idx, step, macro) LOOP_UNROLLING_127(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| 324 | |
Giorgio Arena | bdd16d1 | 2021-05-13 16:58:51 +0100 | [diff] [blame] | 325 | #define LOOP_UNROLLING_STR(type, idx, start, step, num, macro) \ |
| 326 | { \ |
| 327 | type idx = start; \ |
| 328 | LOOP_UNROLLING_##num(idx, step, macro); \ |
| 329 | } |
Giorgio Arena | ea8d266 | 2021-05-20 11:36:56 +0100 | [diff] [blame] | 330 | #else // !defined(UNROLL_WITH_PRAGMA) |
| 331 | #define LOOP_UNROLLING_STR(type, idx, start, step, num, macro) \ |
| 332 | { \ |
| 333 | _Pragma("unroll") \ |
| 334 | for(type idx = start; idx < (num * step); idx += step) \ |
| 335 | { \ |
| 336 | (macro); \ |
| 337 | } \ |
| 338 | } |
| 339 | #endif // !defined(UNROLL_WITH_PRAGMA) |
| 340 | #define LOOP_UNROLLING(type, idx, start, step, num, macro) LOOP_UNROLLING_STR(type, idx, start, step, num, macro) |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 341 | |
| 342 | /** Get the get_global_id with partial N0. This function is useful when the dimension is not multiple of N0 and we need to use a partial N0 |
| 343 | * to avoid out-of-bound read/write |
| 344 | * |
| 345 | * @note PARTIAL_N0 is used for get_global_id(n) = 0. |
| 346 | * |
| 347 | * @param[in] IDX get_global_id index (0,1 and 2 only) |
| 348 | * @param[in] N0 Number of elements read/written on the IDX direction |
| 349 | * @param[in] PARTIAL_N0 Number of elements read/written on the IDX direction for get_global_id(IDX) = 0. If zero, |
| 350 | * the Number of elements read/written on the IDX direction for get_global_id(IDX) = 0 is N0 |
| 351 | */ |
| 352 | #define GET_SPATIAL_IDX(IDX, N0, PARTIAL_N0) (max((int)(get_global_id(IDX) * N0 - (N0 - PARTIAL_N0) % N0), 0)) |
| 353 | |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 354 | /** Dot product integet 8bit function |
| 355 | * |
| 356 | * @note Performs: c += dot(a, b) |
| 357 | * |
Gian Marco Iodice | 8155c02 | 2021-04-16 15:08:59 +0100 | [diff] [blame] | 358 | * @param[in] A_DATA_TYPE A (lhs) data type |
| 359 | * @param[in] B_DATA_TYPE B (rhs) data type |
| 360 | * @param[in] C_DATA_TYPE C (accumulator) data type |
| 361 | * @param[in] K0 Number of accumulations |
| 362 | * @param[in] a OpenCL vector a |
| 363 | * @param[in] b OpenCL vector b |
| 364 | * @param[in] c Scalar variable c |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 365 | */ |
Gian Marco Iodice | 8155c02 | 2021-04-16 15:08:59 +0100 | [diff] [blame] | 366 | #define DOT_PRODUCT_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, K0, a, b, c) DOT_PRODUCT_INTEGER8_STR(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, K0, a, b, c) |
| 367 | #define DOT_PRODUCT_INTEGER8_STR(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, K0, a, b, c) DOT_PRODUCT##K0##_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) |
| 368 | #define DOT_PRODUCT1_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) \ |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 369 | ({ \ |
Gian Marco Iodice | 8155c02 | 2021-04-16 15:08:59 +0100 | [diff] [blame] | 370 | c += (C_DATA_TYPE)(a) * (C_DATA_TYPE)(b); \ |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 371 | }) |
Viet-Hoa Do | 82169b3 | 2022-05-26 16:50:21 +0100 | [diff] [blame] | 372 | #if defined(ARM_COMPUTE_OPENCL_DOT8_ENABLED) && defined(cl_khr_integer_dot_product) |
| 373 | #define DOT_PRODUCT2_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) c += dot((A_DATA_TYPE##4)((a).s01, (A_DATA_TYPE##2)(0)), (B_DATA_TYPE##4)(((b).s01), (B_DATA_TYPE##2)(0))); |
| 374 | #define DOT_PRODUCT3_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) c += dot((A_DATA_TYPE##4)((a).s012, (A_DATA_TYPE)0), (B_DATA_TYPE##4)(((b).s012), (B_DATA_TYPE)0)); |
| 375 | #define DOT_PRODUCT4_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) c += dot((a), (b)); |
| 376 | #elif defined(ARM_COMPUTE_OPENCL_DOT8_ACC_ENABLED) && defined(cl_arm_integer_dot_product_accumulate_int8) // defined(ARM_COMPUTE_OPENCL_DOT8_ENABLED) && defined(cl_khr_integer_dot_product) |
Gian Marco Iodice | 8155c02 | 2021-04-16 15:08:59 +0100 | [diff] [blame] | 377 | #define DOT_PRODUCT2_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) c = arm_dot_acc((A_DATA_TYPE##4)((a).s01, (A_DATA_TYPE##2)(0)), (B_DATA_TYPE##4)(((b).s01), (B_DATA_TYPE##2)(0)), (c)); |
| 378 | #define DOT_PRODUCT3_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) c = arm_dot_acc((A_DATA_TYPE##4)((a).s012, (A_DATA_TYPE)0), (B_DATA_TYPE##4)(((b).s012), (B_DATA_TYPE)0), (c)); |
| 379 | #define DOT_PRODUCT4_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) c = arm_dot_acc((a), (b), (c)); |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 380 | #elif defined(ARM_COMPUTE_OPENCL_DOT8_ENABLED) && defined(cl_arm_integer_dot_product_int8) // defined(ARM_COMPUTE_OPENCL_DOT8_ENABLED) && defined(cl_arm_integer_dot_product_int8) |
Michalis Spyrou | c38ca38 | 2021-07-14 13:30:28 +0100 | [diff] [blame] | 381 | #define DOT_PRODUCT2_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) c += arm_dot((A_DATA_TYPE##4)((a).s01, (A_DATA_TYPE##2)(0)), (B_DATA_TYPE##4)(((b).s01), (B_DATA_TYPE##2)(0))); |
Gian Marco Iodice | 8155c02 | 2021-04-16 15:08:59 +0100 | [diff] [blame] | 382 | #define DOT_PRODUCT3_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) c += arm_dot((A_DATA_TYPE##4)((a).s012, (A_DATA_TYPE)0), (B_DATA_TYPE##4)(((b).s012), (B_DATA_TYPE)0)); |
| 383 | #define DOT_PRODUCT4_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) c += arm_dot((a), (b)); |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 384 | #else // defined(ARM_COMPUTE_OPENCL_DOT8_ACC_ENABLED) && defined(cl_arm_integer_dot_product_accumulate_int8) |
Gian Marco Iodice | 8155c02 | 2021-04-16 15:08:59 +0100 | [diff] [blame] | 385 | #define DOT_PRODUCT2_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) \ |
| 386 | ({ \ |
| 387 | c += (C_DATA_TYPE)(a).s0 * (C_DATA_TYPE)(b).s0; \ |
| 388 | c += (C_DATA_TYPE)(a).s1 * (C_DATA_TYPE)(b).s1; \ |
| 389 | }) |
| 390 | #define DOT_PRODUCT3_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) \ |
| 391 | ({ \ |
| 392 | DOT_PRODUCT2_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c); \ |
| 393 | c += (C_DATA_TYPE)(a).s2 * (C_DATA_TYPE)(b).s2; \ |
| 394 | }) |
| 395 | #define DOT_PRODUCT4_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, x, y, val) \ |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 396 | ({ \ |
Gian Marco Iodice | 8155c02 | 2021-04-16 15:08:59 +0100 | [diff] [blame] | 397 | val += (C_DATA_TYPE)(x).s0 * (C_DATA_TYPE)(y).s0; \ |
| 398 | val += (C_DATA_TYPE)(x).s1 * (C_DATA_TYPE)(y).s1; \ |
| 399 | val += (C_DATA_TYPE)(x).s2 * (C_DATA_TYPE)(y).s2; \ |
| 400 | val += (C_DATA_TYPE)(x).s3 * (C_DATA_TYPE)(y).s3; \ |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 401 | }) |
| 402 | #endif // defined(ARM_COMPUTE_OPENCL_DOT8_ACC_ENABLED) && defined(cl_arm_integer_dot_product_accumulate_int8) |
Gian Marco Iodice | 8155c02 | 2021-04-16 15:08:59 +0100 | [diff] [blame] | 403 | #define DOT_PRODUCT5_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) \ |
| 404 | ({ \ |
| 405 | DOT_PRODUCT4_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s0123), ((b).s0123), c); \ |
| 406 | DOT_PRODUCT1_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s4), ((b).s4), c); \ |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 407 | }) |
Gian Marco Iodice | 8155c02 | 2021-04-16 15:08:59 +0100 | [diff] [blame] | 408 | #define DOT_PRODUCT6_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) \ |
| 409 | ({ \ |
| 410 | DOT_PRODUCT4_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s0123), ((b).s0123), c); \ |
| 411 | DOT_PRODUCT2_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s45), ((b).s45), c); \ |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 412 | }) |
Gian Marco Iodice | 8155c02 | 2021-04-16 15:08:59 +0100 | [diff] [blame] | 413 | #define DOT_PRODUCT7_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) \ |
| 414 | ({ \ |
| 415 | DOT_PRODUCT4_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s0123), ((b).s0123), c); \ |
| 416 | DOT_PRODUCT3_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s456), ((b).s456), c); \ |
| 417 | }) |
| 418 | #define DOT_PRODUCT8_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) \ |
| 419 | ({ \ |
| 420 | DOT_PRODUCT4_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).lo), ((b).lo), c); \ |
| 421 | DOT_PRODUCT4_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).hi), ((b).hi), c); \ |
| 422 | }) |
| 423 | #define DOT_PRODUCT9_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) \ |
| 424 | ({ \ |
| 425 | DOT_PRODUCT8_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s01234567), ((b).s01234567), c); \ |
| 426 | DOT_PRODUCT1_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s8), ((b).s8), c); \ |
| 427 | }) |
| 428 | #define DOT_PRODUCT10_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) \ |
| 429 | ({ \ |
| 430 | DOT_PRODUCT8_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s01234567), ((b).s01234567), c); \ |
| 431 | DOT_PRODUCT2_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s89), ((b).s89), c); \ |
| 432 | }) |
| 433 | #define DOT_PRODUCT11_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) \ |
| 434 | ({ \ |
| 435 | DOT_PRODUCT8_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s01234567), ((b).s01234567), c); \ |
| 436 | DOT_PRODUCT3_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s89A), ((b).s89A), c); \ |
| 437 | }) |
| 438 | #define DOT_PRODUCT12_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) \ |
| 439 | ({ \ |
| 440 | DOT_PRODUCT8_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s01234567), ((b).s01234567), c); \ |
| 441 | DOT_PRODUCT4_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s89AB), ((b).s89AB), c); \ |
| 442 | }) |
| 443 | #define DOT_PRODUCT13_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) \ |
| 444 | ({ \ |
| 445 | DOT_PRODUCT8_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s01234567), ((b).s01234567), c); \ |
Viet-Hoa Do | cd2502c | 2023-05-11 16:13:24 +0100 | [diff] [blame] | 446 | DOT_PRODUCT4_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s89AB), ((b).s89AB), c); \ |
| 447 | DOT_PRODUCT1_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).sC), ((b).sC), c); \ |
Gian Marco Iodice | 8155c02 | 2021-04-16 15:08:59 +0100 | [diff] [blame] | 448 | }) |
| 449 | #define DOT_PRODUCT14_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) \ |
| 450 | ({ \ |
| 451 | DOT_PRODUCT8_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s01234567), ((b).s01234567), c); \ |
Viet-Hoa Do | cd2502c | 2023-05-11 16:13:24 +0100 | [diff] [blame] | 452 | DOT_PRODUCT4_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s89AB), ((b).s89AB), c); \ |
| 453 | DOT_PRODUCT2_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).sCD), ((b).sCD), c); \ |
Gian Marco Iodice | 8155c02 | 2021-04-16 15:08:59 +0100 | [diff] [blame] | 454 | }) |
| 455 | #define DOT_PRODUCT15_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) \ |
| 456 | ({ \ |
| 457 | DOT_PRODUCT8_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s01234567), ((b).s01234567), c); \ |
Viet-Hoa Do | cd2502c | 2023-05-11 16:13:24 +0100 | [diff] [blame] | 458 | DOT_PRODUCT4_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s89AB), ((b).s89AB), c); \ |
| 459 | DOT_PRODUCT3_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).sCDE), ((b).sCDE), c); \ |
Gian Marco Iodice | 8155c02 | 2021-04-16 15:08:59 +0100 | [diff] [blame] | 460 | }) |
| 461 | #define DOT_PRODUCT16_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) \ |
| 462 | ({ \ |
| 463 | DOT_PRODUCT8_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).lo), ((b).lo), c); \ |
| 464 | DOT_PRODUCT8_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).hi), ((b).hi), c); \ |
| 465 | }) |
| 466 | |
| 467 | /** Dot product integet 8bit function |
| 468 | * |
| 469 | * @note Performs: c += dot(a, b) |
| 470 | * |
| 471 | * @param[in] A_DATA_TYPE A (lhs) data type |
| 472 | * @param[in] B_DATA_TYPE B (rhs) data type |
| 473 | * @param[in] C_DATA_TYPE C (accumulator) data type |
| 474 | * @param[in] K0 Number of accumulations |
| 475 | * @param[in] a OpenCL vector a |
| 476 | * @param[in] c Scalar variable c |
| 477 | */ |
| 478 | #define REDUCE_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, K0, a, c) REDUCE_INTEGER8_STR(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, K0, a, c) |
| 479 | #define REDUCE_INTEGER8_STR(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, K0, a, c) DOT_PRODUCT_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, K0, a, (TILE_VECTOR_TYPE##K0(B_DATA_TYPE))1, c) |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 480 | |
| 481 | /** Load a vector from global memory (tensor) |
| 482 | * |
| 483 | * @param[in] DATA_TYPE Data type |
| 484 | * @param[in] WIDTH Number of dst columns |
| 485 | * @param[in] TENSOR_TYPE Type of cl_type used to store the tensor in global memory (BUFFER=cl_buffer, IMAGE=cl_image). |
| 486 | * In case of cl_image, only WIDTH multiples of 4 are supported (4, 8, 16) |
| 487 | * @param[in] TENSOR Tensor basename |
| 488 | * @param[in] X Starting X position |
| 489 | * @param[in] Y Starting Y position |
| 490 | * @param[in] STRIDE_Y Stride Y (in bytes) |
| 491 | */ |
| 492 | #define V_LOAD(DATA_TYPE, WIDTH, TENSOR_TYPE, TENSOR, X, Y, STRIDE_Y) V_LOAD_STR(DATA_TYPE, WIDTH, TENSOR_TYPE, TENSOR, X, Y, STRIDE_Y) |
| 493 | #define V_LOAD_STR(DATA_TYPE, WIDTH, TENSOR_TYPE, TENSOR, X, Y, STRIDE_Y) V_LOAD_##TENSOR_TYPE(DATA_TYPE, WIDTH, TENSOR, X, Y, STRIDE_Y) |
| 494 | #define V_LOAD_BUFFER(DATA_TYPE, WIDTH, TENSOR, X, Y, STRIDE_Y) \ |
| 495 | VLOAD(WIDTH) \ |
Gian Marco Iodice | 8155c02 | 2021-04-16 15:08:59 +0100 | [diff] [blame] | 496 | (0, (__global DATA_TYPE *)(TENSOR##_ptr + TENSOR##_offset_first_element_in_bytes + (X) * sizeof(DATA_TYPE) + (Y) * (STRIDE_Y))) |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 497 | #define V_LOAD_IMAGE(DATA_TYPE, WIDTH, TENSOR, X, Y, STRIDE_Y) READ_IMAGE2D(DATA_TYPE, CONVERT_VECTOR_SIZE_TO_PIXEL_UNIT(WIDTH), TENSOR##_img, (X) / 4, (Y)) |
| 498 | |
Gian Marco Iodice | 3cce35d | 2022-12-30 16:07:45 +0000 | [diff] [blame] | 499 | /** Store a vector in global memory (tensor) |
| 500 | * |
| 501 | * @param[in] DATA_TYPE Data type |
| 502 | * @param[in] WIDTH Number of dst columns |
| 503 | * @param[in] TENSOR_TYPE Type of cl_type used to store the tensor in global memory (BUFFER=cl_buffer, IMAGE=cl_image). |
| 504 | * In case of cl_image, only WIDTH multiples of 4 are supported (4, 8, 16) |
| 505 | * @param[in] TENSOR Tensor basename |
| 506 | * @param[in] X Starting X position |
| 507 | * @param[in] Y Starting Y position |
| 508 | * @param[in] STRIDE_Y Stride Y (in bytes) |
| 509 | * @param[in] VALUES Values to store in memory |
| 510 | */ |
| 511 | #define V_STORE(DATA_TYPE, WIDTH, TENSOR_TYPE, TENSOR, X, Y, STRIDE_Y, VALUES) V_STORE_STR(DATA_TYPE, WIDTH, TENSOR_TYPE, TENSOR, X, Y, STRIDE_Y, VALUES) |
| 512 | #define V_STORE_STR(DATA_TYPE, WIDTH, TENSOR_TYPE, TENSOR, X, Y, STRIDE_Y, VALUES) V_STORE_##TENSOR_TYPE(DATA_TYPE, WIDTH, TENSOR, X, Y, STRIDE_Y, VALUES) |
| 513 | #define V_STORE_BUFFER(DATA_TYPE, WIDTH, TENSOR, X, Y, STRIDE_Y, VALUES) \ |
| 514 | VSTORE(WIDTH) \ |
| 515 | (VALUES, 0, (__global DATA_TYPE *)(TENSOR##_ptr + TENSOR##_offset_first_element_in_bytes + (X) * sizeof(DATA_TYPE) + (Y) * (STRIDE_Y))) |
| 516 | #define V_STORE_IMAGE(DATA_TYPE, WIDTH, TENSOR, X, Y, STRIDE_Y, VALUES) WRITE_IMAGE2D(DATA_TYPE, CONVERT_VECTOR_SIZE_TO_PIXEL_UNIT(WIDTH), TENSOR##_img, (X) / 4, (Y), VALUES) |
| 517 | |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 518 | /** Load a tile from global memory (tensor) |
| 519 | * |
Gian Marco Iodice | 0b76f7d | 2021-04-08 17:20:00 +0100 | [diff] [blame] | 520 | * @param[in] DATA_TYPE Data type |
| 521 | * @param[in] HEIGHT Number of dst rows |
| 522 | * @param[in] WIDTH Number of dst columns |
| 523 | * @param[in] TENSOR_TYPE Type of cl_type used to store the tensor in global memory (BUFFER=cl_buffer, IMAGE=cl_image). |
| 524 | * In case of cl_image, only WIDTH multiples of 4 are supported (4, 8, 16) |
| 525 | * @param[in] TENSOR Tensor basename |
| 526 | * @param[in] X Starting X position |
| 527 | * @param[in] Y Starting Y position |
| 528 | * @param[in] YI_MULTIPLIER Parameter used to multiply the internal row increment (_i). |
| 529 | * In common cases should be 1 but it becomes useful when we want to load rows which are multiple of STRIDE_Y. (e.g. loading the weights of convolution layer). |
| 530 | * In this case the address calculation is performed as: (Y + _i * Y_MULTIPLIER) * STRIDE_Y |
| 531 | * @param[in] STRIDE_Y Stride Y (in bytes) used to load each row. |
| 532 | * @param[out] dst Output tile |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 533 | */ |
Gian Marco Iodice | 0b76f7d | 2021-04-08 17:20:00 +0100 | [diff] [blame] | 534 | #define T_LOAD(DATA_TYPE, HEIGHT, WIDTH, TENSOR_TYPE, TENSOR, X, Y, YI_MULTIPLIER, STRIDE_Y, dst) \ |
Giorgio Arena | bdd16d1 | 2021-05-13 16:58:51 +0100 | [diff] [blame] | 535 | ({ \ |
| 536 | LOOP_UNROLLING(int, _i, 0, 1, HEIGHT, \ |
| 537 | { \ |
Gian Marco Iodice | 0b76f7d | 2021-04-08 17:20:00 +0100 | [diff] [blame] | 538 | dst[_i].v = V_LOAD(DATA_TYPE, WIDTH, TENSOR_TYPE, TENSOR, X, ((Y) + _i * (int)(YI_MULTIPLIER)), STRIDE_Y); \ |
Giorgio Arena | bdd16d1 | 2021-05-13 16:58:51 +0100 | [diff] [blame] | 539 | }) \ |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 540 | }) |
| 541 | |
Gunes Bayir | 9d0c4de | 2023-04-13 18:22:58 +0100 | [diff] [blame] | 542 | /** Store a VECTOR variable (e.g. int4, int8, char2 etc.) to a specified column in the TILE object |
| 543 | * |
| 544 | * @param[in] VECTOR Vector variable to store |
| 545 | * @param[in, out] TILE Tile variable to store to |
| 546 | * @param[in] WIDTH Width of the vector variable, also height of the tile (e.g. 2 if char2) |
| 547 | * @param[in] COLUMN Column index of the tile |
| 548 | */ |
| 549 | #define COPY_VECTOR_TO_TILE_COLUMN(VECTOR, TILE, WIDTH, COLUMN) COPY_VECTOR_TO_TILE_COLUMN_STR(VECTOR, TILE, WIDTH, COLUMN) |
| 550 | #define COPY_VECTOR_TO_TILE_COLUMN_STR(VECTOR, TILE, WIDTH, COLUMN) COPY_##WIDTH##_VECTOR_TO_TILE_COLUMN(VECTOR, TILE, COLUMN) |
| 551 | #define COPY_1_VECTOR_TO_TILE_COLUMN(VECTOR, TILE, COLUMN) \ |
| 552 | ({ \ |
| 553 | TILE[0].s[COLUMN] = VECTOR; \ |
| 554 | }) |
| 555 | |
| 556 | #define COPY_2_VECTOR_TO_TILE_COLUMN(VECTOR, TILE, COLUMN) \ |
| 557 | ({ \ |
| 558 | TILE[0].s[COLUMN] = VECTOR.s0; \ |
| 559 | TILE[1].s[COLUMN] = VECTOR.s1; \ |
| 560 | }) |
| 561 | |
| 562 | #define COPY_3_VECTOR_TO_TILE_COLUMN(VECTOR, TILE, COLUMN) \ |
| 563 | ({ \ |
| 564 | TILE[0].s[COLUMN] = VECTOR.s0; \ |
| 565 | TILE[1].s[COLUMN] = VECTOR.s1; \ |
| 566 | TILE[2].s[COLUMN] = VECTOR.s2; \ |
| 567 | }) |
| 568 | |
| 569 | #define COPY_4_VECTOR_TO_TILE_COLUMN(VECTOR, TILE, COLUMN) \ |
| 570 | ({ \ |
| 571 | TILE[0].s[COLUMN] = VECTOR.s0; \ |
| 572 | TILE[1].s[COLUMN] = VECTOR.s1; \ |
| 573 | TILE[2].s[COLUMN] = VECTOR.s2; \ |
| 574 | TILE[3].s[COLUMN] = VECTOR.s3; \ |
| 575 | }) |
| 576 | |
| 577 | #define COPY_8_VECTOR_TO_TILE_COLUMN(VECTOR, TILE, COLUMN) \ |
| 578 | ({ \ |
| 579 | TILE[0].s[COLUMN] = VECTOR.s0; \ |
| 580 | TILE[1].s[COLUMN] = VECTOR.s1; \ |
| 581 | TILE[2].s[COLUMN] = VECTOR.s2; \ |
| 582 | TILE[3].s[COLUMN] = VECTOR.s3; \ |
| 583 | TILE[4].s[COLUMN] = VECTOR.s4; \ |
| 584 | TILE[5].s[COLUMN] = VECTOR.s5; \ |
| 585 | TILE[6].s[COLUMN] = VECTOR.s6; \ |
| 586 | TILE[7].s[COLUMN] = VECTOR.s7; \ |
| 587 | }) |
| 588 | |
| 589 | #define COPY_16_VECTOR_TO_TILE_COLUMN(VECTOR, TILE, COLUMN) \ |
| 590 | ({ \ |
| 591 | TILE[0].s[COLUMN] = VECTOR.s0; \ |
| 592 | TILE[1].s[COLUMN] = VECTOR.s1; \ |
| 593 | TILE[2].s[COLUMN] = VECTOR.s2; \ |
| 594 | TILE[3].s[COLUMN] = VECTOR.s3; \ |
| 595 | TILE[4].s[COLUMN] = VECTOR.s4; \ |
| 596 | TILE[5].s[COLUMN] = VECTOR.s5; \ |
| 597 | TILE[6].s[COLUMN] = VECTOR.s6; \ |
| 598 | TILE[7].s[COLUMN] = VECTOR.s7; \ |
| 599 | TILE[8].s[COLUMN] = VECTOR.s8; \ |
| 600 | TILE[9].s[COLUMN] = VECTOR.s9; \ |
| 601 | TILE[10].s[COLUMN] = VECTOR.sA; \ |
| 602 | TILE[11].s[COLUMN] = VECTOR.sB; \ |
| 603 | TILE[12].s[COLUMN] = VECTOR.sC; \ |
| 604 | TILE[13].s[COLUMN] = VECTOR.sD; \ |
| 605 | TILE[14].s[COLUMN] = VECTOR.sE; \ |
| 606 | TILE[15].s[COLUMN] = VECTOR.sF; \ |
| 607 | }) |
| 608 | |
| 609 | /** Load SRC_HEIGHT x SRC_WIDTH elements from global memory (tensor), and store them in a SRC_WIDTH x SRC_HEIGHT tile |
| 610 | * |
| 611 | * @param[in] DATA_TYPE Data type |
| 612 | * @param[in] SRC_HEIGHT Number of source rows, or number of columns of the output tile |
| 613 | * @param[in] SRC_WIDTH Number of source columns, or number of tile rows |
| 614 | * @param[in] TENSOR_TYPE Type of cl_type used to store the tensor in global memory (BUFFER=cl_buffer, IMAGE=cl_image). |
| 615 | * In case of cl_image, only WIDTH multiples of 4 are supported (4, 8, 16) |
| 616 | * @param[in] TENSOR Tensor basename |
| 617 | * @param[in] X Starting X position |
| 618 | * @param[in] Y Starting Y position |
| 619 | * @param[in] YI_MULTIPLIER Parameter used to multiply the internal row increment (_i). |
| 620 | * In common cases should be 1 but it becomes useful when we want to load rows which are multiple of STRIDE_Y. |
| 621 | * (e.g. loading the weights of convolution layer). |
| 622 | * In this case the address calculation is performed as: (Y + _i * Y_MULTIPLIER) * STRIDE_Y |
| 623 | * @param[in] STRIDE_Y Stride Y (in bytes) used to load each row. |
| 624 | * @param[out] dst Output tile |
| 625 | */ |
| 626 | #define T_LOAD_TRANSPOSED(DATA_TYPE, SRC_HEIGHT, SRC_WIDTH, TENSOR_TYPE, TENSOR, X, Y, YI_MULTIPLIER, STRIDE_Y, dst) \ |
| 627 | ({ \ |
| 628 | LOOP_UNROLLING(int, _i, 0, 1, SRC_HEIGHT, \ |
| 629 | { \ |
| 630 | VEC_DATA_TYPE(DATA_TYPE, SRC_WIDTH) \ |
| 631 | tmp = V_LOAD(DATA_TYPE, SRC_WIDTH, TENSOR_TYPE, TENSOR, X, ((Y) + _i * (int)(YI_MULTIPLIER)), STRIDE_Y); \ |
| 632 | COPY_VECTOR_TO_TILE_COLUMN(tmp, dst, SRC_WIDTH, _i); \ |
| 633 | }) \ |
| 634 | }) |
| 635 | |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 636 | /** Load a tile from global memory (tensor) using an indirect Y index tile |
| 637 | * |
| 638 | * @param[in] DATA_TYPE Data type |
| 639 | * @param[in] HEIGHT Number of dst rows |
| 640 | * @param[in] WIDTH Number of dst columns |
| 641 | * @param[in] TENSOR_TYPE Type of cl_type used to store the tensor in global memory (BUFFER=cl_buffer, IMAGE=cl_image). Currently BUFFER only is supported |
| 642 | * In case of cl_image, only WIDTH multiples of 4 are supported (4, 8, 16) |
| 643 | * @param[in] TENSOR Tensor basename |
| 644 | * @param[in] X Starting X position |
| 645 | * @param[in] STRIDE_Y Stride Y (in bytes) |
| 646 | * @param[in] indirect_y Indirect Y index tile |
| 647 | * @param[out] dst Output tile |
| 648 | */ |
| 649 | #define T_LOAD_INDIRECT(DATA_TYPE, HEIGHT, WIDTH, TENSOR_TYPE, TENSOR, X, STRIDE_Y, indirect_y, dst) \ |
Giorgio Arena | bdd16d1 | 2021-05-13 16:58:51 +0100 | [diff] [blame] | 650 | ({ \ |
| 651 | LOOP_UNROLLING(int, _i, 0, 1, HEIGHT, \ |
| 652 | { \ |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 653 | dst[_i].v = V_LOAD(DATA_TYPE, WIDTH, TENSOR_TYPE, TENSOR, X, (indirect_y[_i].v), STRIDE_Y); \ |
Giorgio Arena | bdd16d1 | 2021-05-13 16:58:51 +0100 | [diff] [blame] | 654 | }) \ |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 655 | }) |
| 656 | |
Adnan AlSinan | 3e155a5 | 2021-12-10 12:34:02 +0000 | [diff] [blame] | 657 | /** Load a tile from global memory (tensor) using an indirect Y index tile and conditionally use a different length for the load |
| 658 | * |
| 659 | * @note If WIDTH1_CONDITION is true, the load will use the WIDTH1 length for the store |
| 660 | * @note The vectors are stored in reverse order so the invalid rows are overwritten by the valid ones |
| 661 | * |
| 662 | * @param[in] DATA_TYPE Data type |
| 663 | * @param[in] HEIGHT Number of dst rows |
| 664 | * @param[in] WIDTH0 Store width to use if WIDTH1_CONDITION = false |
| 665 | * @param[in] WIDTH1 Store width to use if WIDTH1_CONDITION = true |
| 666 | * @param[in] TENSOR_TYPE Type of cl_type used to store the tensor in global memory (BUFFER=cl_buffer, IMAGE=cl_image). |
| 667 | * In case of cl_image, only WIDTH multiples of 4 are supported (4, 8, 16) |
| 668 | * @param[in] TENSOR Tensor basename |
| 669 | * @param[in] X Starting X position |
| 670 | * @param[in] STRIDE_Y Stride Y (in bytes) used to load each row. |
| 671 | * @param[in] WIDTH1_CONDITION Condition to select the WIDTH1 store |
| 672 | * @param[out] dst Output tile |
| 673 | * @param[out] indirect_y Indirect Y index tile |
| 674 | */ |
| 675 | #define T_LOAD_INDIRECT_WIDTH_SELECT(DATA_TYPE, HEIGHT, WIDTH0, WIDTH1, TENSOR_TYPE, TENSOR, X, STRIDE_Y, WIDTH1_CONDITION, dst, indirect_y) \ |
| 676 | ({ \ |
| 677 | if(WIDTH1_CONDITION) \ |
| 678 | { \ |
| 679 | LOOP_UNROLLING(int, _i, 0, 1, HEIGHT, \ |
| 680 | { \ |
| 681 | VLOAD_PARTIAL(WIDTH0, WIDTH1) \ |
| 682 | (dst[HEIGHT - 1 - _i].v, 0, (__global DATA_TYPE *)(TENSOR##_ptr + TENSOR##_offset_first_element_in_bytes + (X) * sizeof(DATA_TYPE) + (indirect_y[HEIGHT - 1 - _i].v) * STRIDE_Y)); \ |
| 683 | }) \ |
| 684 | } \ |
| 685 | else \ |
| 686 | { \ |
| 687 | LOOP_UNROLLING(int, _i, 0, 1, HEIGHT, \ |
| 688 | { \ |
| 689 | dst[HEIGHT - 1 - _i].v = V_LOAD(DATA_TYPE, WIDTH0, TENSOR_TYPE, TENSOR, X, (indirect_y[HEIGHT - 1 - _i].v), STRIDE_Y); \ |
| 690 | }) \ |
| 691 | } \ |
| 692 | }) |
Gian Marco Iodice | 534b889 | 2021-04-01 16:17:16 +0100 | [diff] [blame] | 693 | /** Load a tile from global memory (tensor) when the tensor is stored using a NHWC layout |
| 694 | * |
| 695 | * @param[in] DATA_TYPE Data type |
| 696 | * @param[in] TILE_HEIGHT Number of elements to load from Y (height) dimension |
| 697 | * @param[in] TILE_WIDTH Number of elements to load from X (width) dimension |
| 698 | * @param[in] TILE_CHANNELS Number of elements to load from C (channel) dimension |
| 699 | * @param[in] TENSOR_TYPE Type of cl_type used to store the tensor in global memory (BUFFER=cl_buffer, IMAGE=cl_image). Currently BUFFER only is supported |
| 700 | * In case of cl_image, only TILE_CHANNELS multiples of 4 are supported (4, 8, 16) |
| 701 | * @param[in] TENSOR Tensor basename |
| 702 | * @param[in] B Starting batch index |
| 703 | * @param[in] Y Starting Y index |
| 704 | * @param[in] X Starting X index |
| 705 | * @param[in] C Starting C index |
| 706 | * @param[in] TENSOR_HEIGHT Number of elements to load from Y (height) dimension |
| 707 | * @param[in] TENSOR_WIDTH Number of elements to load from X (width) dimension |
| 708 | * @param[in] STRIDE_Y Stride Y (in bytes) |
| 709 | * @param[out] dst Output tile |
| 710 | */ |
Gian Marco Iodice | 0b76f7d | 2021-04-08 17:20:00 +0100 | [diff] [blame] | 711 | #define T_LOAD_NHWC(DATA_TYPE, TILE_HEIGHT, TILE_WIDTH, TILE_CHANNELS, TENSOR_TYPE, TENSOR, B, Y, X, C, TENSOR_WIDTH, TENSOR_HEIGHT, STRIDE_Y, dst) \ |
Giorgio Arena | bdd16d1 | 2021-05-13 16:58:51 +0100 | [diff] [blame] | 712 | ({ \ |
| 713 | LOOP_UNROLLING(int, _yk, 0, 1, TILE_HEIGHT, \ |
| 714 | { \ |
| 715 | LOOP_UNROLLING(int, _xk, 0, 1, TILE_WIDTH, \ |
| 716 | { \ |
| 717 | int _src_y = (X) + _xk + ((Y) + _yk) * (TENSOR_WIDTH); \ |
| 718 | _src_y += (B) * (int)(TENSOR_WIDTH) * (int)(TENSOR_HEIGHT); \ |
Gian Marco Iodice | 534b889 | 2021-04-01 16:17:16 +0100 | [diff] [blame] | 719 | int _src_valid_y = (((X) + _xk) >= 0 && ((X) + _xk) < (int)(TENSOR_WIDTH) && ((Y) + _yk) >= 0 && ((Y) + _yk) < (int)(TENSOR_HEIGHT)); \ |
Giorgio Arena | bdd16d1 | 2021-05-13 16:58:51 +0100 | [diff] [blame] | 720 | if(_src_valid_y != 0) \ |
| 721 | { \ |
| 722 | dst[_xk + _yk * (TILE_WIDTH)].v = V_LOAD(DATA_TYPE, TILE_CHANNELS, TENSOR_TYPE, TENSOR, C, _src_y, STRIDE_Y); \ |
Gian Marco Iodice | 0b76f7d | 2021-04-08 17:20:00 +0100 | [diff] [blame] | 723 | } \ |
Giorgio Arena | bdd16d1 | 2021-05-13 16:58:51 +0100 | [diff] [blame] | 724 | }) \ |
| 725 | }) \ |
Gian Marco Iodice | 0b76f7d | 2021-04-08 17:20:00 +0100 | [diff] [blame] | 726 | }) |
| 727 | |
Gian Marco Iodice | 8155c02 | 2021-04-16 15:08:59 +0100 | [diff] [blame] | 728 | /** Load a tile from global memory (tensor) when the tensor is stored using a NHWC layout with dilation for the X and Y increments |
| 729 | * |
| 730 | * @param[in] DATA_TYPE Data type |
| 731 | * @param[in] TILE_HEIGHT Number of elements to load from Y (height) dimension |
| 732 | * @param[in] TILE_WIDTH Number of elements to load from X (width) dimension |
| 733 | * @param[in] TILE_CHANNELS Number of elements to load from C (channel) dimension |
| 734 | * @param[in] TENSOR_TYPE Type of cl_type used to store the tensor in global memory (BUFFER=cl_buffer, IMAGE=cl_image). Currently BUFFER only is supported |
| 735 | * In case of cl_image, only TILE_CHANNELS multiples of 4 are supported (4, 8, 16) |
| 736 | * @param[in] TENSOR Tensor basename |
| 737 | * @param[in] B Starting batch index |
| 738 | * @param[in] Y Starting Y index |
| 739 | * @param[in] X Starting X index |
| 740 | * @param[in] C Starting C index |
| 741 | * @param[in] TENSOR_HEIGHT Number of elements to load from Y (height) dimension |
| 742 | * @param[in] TENSOR_WIDTH Number of elements to load from X (width) dimension |
| 743 | * @param[in] DILATION_X Dilation for the X increment |
| 744 | * @param[in] DILATION_Y Dilation for the Y increment |
| 745 | * @param[in] BOUNDARY_CHECK Boundary check flag. If true, it checks for any out-of-bound reads |
| 746 | * @param[out] dst Output tile |
| 747 | */ |
| 748 | #define T_LOAD_NHWC_WITH_DILATION(DATA_TYPE, TILE_HEIGHT, TILE_WIDTH, TILE_CHANNELS, TENSOR_TYPE, TENSOR, B, Y, X, C, TENSOR_WIDTH, TENSOR_HEIGHT, DILATION_X, DILATION_Y, BOUNDARY_CHECK, dst) \ |
| 749 | ({ \ |
| 750 | LOOP_UNROLLING(int, _yk, 0, 1, TILE_HEIGHT, \ |
| 751 | { \ |
| 752 | LOOP_UNROLLING(int, _xk, 0, 1, TILE_WIDTH, \ |
| 753 | { \ |
| 754 | int _src_y = (X) + _xk * (DILATION_X); \ |
| 755 | int _src_z = ((Y) + _yk * (DILATION_Y)); \ |
| 756 | int _src_w = (B); \ |
| 757 | bool _src_valid_y = (((X) + _xk * (DILATION_X)) >= 0) && (((X) + _xk * (DILATION_X)) < (int)(TENSOR_WIDTH)) && (((Y) + _yk * (DILATION_Y)) >= 0) && (((Y) + _yk * (DILATION_Y)) < (int)(TENSOR_HEIGHT)); \ |
| 758 | if(!(BOUNDARY_CHECK)) \ |
| 759 | { \ |
| 760 | dst[_xk + _yk * (TILE_WIDTH)].v = VLOAD(TILE_CHANNELS) \ |
| 761 | (0, (__global DATA_TYPE *)(TENSOR##_ptr + TENSOR##_offset_first_element_in_bytes + (C) * sizeof(DATA_TYPE) + (_src_y) * (TENSOR##_stride_y) + (_src_z) * (TENSOR##_stride_z) + (_src_w) * (TENSOR##_stride_w))); \ |
| 762 | } \ |
| 763 | else \ |
| 764 | { \ |
| 765 | if(_src_valid_y) \ |
| 766 | { \ |
| 767 | dst[_xk + _yk * (TILE_WIDTH)].v = VLOAD(TILE_CHANNELS) \ |
| 768 | (0, (__global DATA_TYPE *)(TENSOR##_ptr + TENSOR##_offset_first_element_in_bytes + (C) * sizeof(DATA_TYPE) + (_src_y) * (TENSOR##_stride_y) + (_src_z) * (TENSOR##_stride_z) + (_src_w) * (TENSOR##_stride_w))); \ |
| 769 | } \ |
| 770 | } \ |
| 771 | }) \ |
| 772 | }) \ |
| 773 | }) |
| 774 | |
Gian Marco Iodice | 0b76f7d | 2021-04-08 17:20:00 +0100 | [diff] [blame] | 775 | /** Load a tile from global memory (tensor) when the tensor is stored using a NHWC layout using indirect X and Y coordinates |
| 776 | * |
| 777 | * @param[in] DATA_TYPE Data type |
Giorgio Arena | bdd16d1 | 2021-05-13 16:58:51 +0100 | [diff] [blame] | 778 | * @param[in] TILE_AREA Number of elements to load from Y (height) dimension * Number of elements to load from X (width) dimension |
Gian Marco Iodice | 0b76f7d | 2021-04-08 17:20:00 +0100 | [diff] [blame] | 779 | * @param[in] TILE_CHANNELS Number of elements to load from C (channel) dimension |
| 780 | * @param[in] TENSOR_TYPE Type of cl_type used to store the tensor in global memory (BUFFER=cl_buffer, IMAGE=cl_image). Currently BUFFER only is supported |
| 781 | * In case of cl_image, only TILE_CHANNELS multiples of 4 are supported (4, 8, 16) |
| 782 | * @param[in] TENSOR Tensor basename |
| 783 | * @param[in] B Starting batch index |
| 784 | * @param[in] Y Starting Y index |
| 785 | * @param[in] X Starting X index |
| 786 | * @param[in] C Starting C index |
Gian Marco Iodice | 0b76f7d | 2021-04-08 17:20:00 +0100 | [diff] [blame] | 787 | * @param[in] TENSOR_WIDTH Number of elements to load from X (width) dimension |
Giorgio Arena | 945ae9e | 2021-10-13 11:13:04 +0100 | [diff] [blame] | 788 | * @param[in] TENSOR_HEIGHT Number of elements to load from Y (height) dimension |
Gian Marco Iodice | 0b76f7d | 2021-04-08 17:20:00 +0100 | [diff] [blame] | 789 | * @param[in] STRIDE_Y Stride Y (in bytes) |
| 790 | * @param[out] xi A tile with (TILE_WIDTH x TILE_HEIGHT) values with the indirect X coordinate |
| 791 | * @param[out] yi A tile with (TILE_WIDTH x TILE_HEIGHT) values with the indirect Y coordinate |
| 792 | * @param[out] dst Output tile |
| 793 | */ |
Giorgio Arena | bdd16d1 | 2021-05-13 16:58:51 +0100 | [diff] [blame] | 794 | #define T_LOAD_NHWC_INDIRECT(DATA_TYPE, TILE_AREA, TILE_CHANNELS, TENSOR_TYPE, TENSOR, B, Y, X, C, TENSOR_WIDTH, TENSOR_HEIGHT, STRIDE_Y, xi, yi, dst) \ |
| 795 | ({ \ |
| 796 | LOOP_UNROLLING(int, _i, 0, 1, TILE_AREA, \ |
| 797 | { \ |
| 798 | int _src_y = (X) + xi[_i].v + ((Y) + yi[_i].v) * (TENSOR_WIDTH); \ |
| 799 | _src_y += (B) * (int)(TENSOR_WIDTH) * (int)(TENSOR_HEIGHT); \ |
Gian Marco Iodice | 0b76f7d | 2021-04-08 17:20:00 +0100 | [diff] [blame] | 800 | int _src_valid_y = (((X) + xi[_i].v) >= 0 && ((X) + xi[_i].v) < (int)(TENSOR_WIDTH) && ((Y) + yi[_i].v) >= 0 && ((Y) + yi[_i].v) < (int)(TENSOR_HEIGHT)); \ |
Giorgio Arena | bdd16d1 | 2021-05-13 16:58:51 +0100 | [diff] [blame] | 801 | if(_src_valid_y != 0) \ |
| 802 | { \ |
| 803 | dst[_i].v = V_LOAD(DATA_TYPE, TILE_CHANNELS, TENSOR_TYPE, TENSOR, C, _src_y, STRIDE_Y); \ |
Gian Marco Iodice | 0b76f7d | 2021-04-08 17:20:00 +0100 | [diff] [blame] | 804 | } \ |
Giorgio Arena | bdd16d1 | 2021-05-13 16:58:51 +0100 | [diff] [blame] | 805 | }) \ |
Gian Marco Iodice | 534b889 | 2021-04-01 16:17:16 +0100 | [diff] [blame] | 806 | }) |
| 807 | |
Gian Marco Iodice | 76335eb | 2022-11-17 11:03:39 +0000 | [diff] [blame] | 808 | /** Load a tile from global memory (tensor) using an indirect buffer for the Y coordinates |
| 809 | * |
| 810 | * @param[in] DATA_TYPE Data type |
| 811 | * @param[in] TILE_AREA Number of elements to load from Y (height) dimension * Number of elements to load from X (width) dimension |
| 812 | * @param[in] TILE_CHANNELS Number of elements to load from C (channel) dimension |
Gian Marco Iodice | 3cce35d | 2022-12-30 16:07:45 +0000 | [diff] [blame] | 813 | * @param[in] TENSOR_TYPE Type of cl_type used to store the tensor in global memory (BUFFER=cl_buffer, IMAGE=cl_image). |
| 814 | * When TENSOR_TYPE=IMAGE, the if condition for the out-of-bound check can be skipped |
Gian Marco Iodice | 76335eb | 2022-11-17 11:03:39 +0000 | [diff] [blame] | 815 | * In case of cl_image, only TILE_CHANNELS multiples of 4 are supported (4, 8, 16) |
| 816 | * @param[in] TENSOR Tensor basename |
| 817 | * @param[in] C Starting C index |
| 818 | * @param[in] STRIDE_Y Stride Y (in bytes) |
| 819 | * @param[out] yi A tile with (TILE_WIDTH x TILE_HEIGHT) values with the indirect Y coordinate |
| 820 | * 16 is the maximum indirect buffer size. |
| 821 | * @param[out] dst Output tile |
| 822 | */ |
Gian Marco Iodice | 3cce35d | 2022-12-30 16:07:45 +0000 | [diff] [blame] | 823 | #define T_LOAD2D_INDIRECT(DATA_TYPE, TILE_AREA, TILE_CHANNELS, TENSOR_TYPE, TENSOR, C, STRIDE_Y, yi, dst) T_LOAD2D_INDIRECT_STR(DATA_TYPE, TILE_AREA, TILE_CHANNELS, TENSOR_TYPE, TENSOR, C, STRIDE_Y, yi, dst) |
| 824 | #define T_LOAD2D_INDIRECT_STR(DATA_TYPE, TILE_AREA, TILE_CHANNELS, TENSOR_TYPE, TENSOR, C, STRIDE_Y, yi, dst) T_LOAD2D_INDIRECT_##TENSOR_TYPE(DATA_TYPE, TILE_AREA, TILE_CHANNELS, TENSOR_TYPE, TENSOR, C, STRIDE_Y, yi, dst) |
| 825 | #define T_LOAD2D_INDIRECT_BUFFER(DATA_TYPE, TILE_AREA, TILE_CHANNELS, TENSOR_TYPE, TENSOR, C, STRIDE_Y, yi, dst) \ |
| 826 | ({ \ |
| 827 | LOOP_UNROLLING(int, _i, 0, 1, TILE_AREA, \ |
| 828 | { \ |
| 829 | if(yi[0].s[_i] >= 0) \ |
| 830 | { \ |
| 831 | dst[_i].v = V_LOAD(DATA_TYPE, TILE_CHANNELS, TENSOR_TYPE, TENSOR, C, yi[0].s[_i], STRIDE_Y); \ |
| 832 | } \ |
| 833 | }) \ |
| 834 | }) |
| 835 | |
| 836 | #define T_LOAD2D_INDIRECT_IMAGE(DATA_TYPE, TILE_AREA, TILE_CHANNELS, TENSOR_TYPE, TENSOR, C, STRIDE_Y, yi, dst) \ |
| 837 | ({ \ |
| 838 | LOOP_UNROLLING(int, _i, 0, 1, TILE_AREA, \ |
| 839 | { \ |
| 840 | dst[_i].v = V_LOAD(DATA_TYPE, TILE_CHANNELS, TENSOR_TYPE, TENSOR, C, yi[0].s[_i], STRIDE_Y); \ |
| 841 | }) \ |
Gian Marco Iodice | 3394f3e | 2022-09-16 14:14:21 +0100 | [diff] [blame] | 842 | }) |
| 843 | |
Giorgio Arena | 945ae9e | 2021-10-13 11:13:04 +0100 | [diff] [blame] | 844 | /** Load a tile from global memory (tensor) when the tensor is stored using a NDHWC layout using indirect X, Y and Z coordinates |
| 845 | * |
| 846 | * @param[in] DATA_TYPE Data type |
| 847 | * @param[in] TILE_AREA Number of elements to load from Y (height) dimension * Number of elements to load from X (width) dimension |
| 848 | * @param[in] TILE_CHANNELS Number of elements to load from C (channel) dimension |
| 849 | * @param[in] TENSOR_TYPE Type of cl_type used to store the tensor in global memory (BUFFER=cl_buffer, IMAGE=cl_image). Currently BUFFER only is supported |
| 850 | * In case of cl_image, only TILE_CHANNELS multiples of 4 are supported (4, 8, 16) |
| 851 | * @param[in] TENSOR Tensor basename |
| 852 | * @param[in] B Starting batch index |
| 853 | * @param[in] Z Starting Z index |
| 854 | * @param[in] Y Starting Y index |
| 855 | * @param[in] X Starting X index |
| 856 | * @param[in] C Starting C index |
| 857 | * @param[in] TENSOR_WIDTH Number of elements to load from X (width) dimension |
| 858 | * @param[in] TENSOR_HEIGHT Number of elements to load from Y (height) dimension |
| 859 | * @param[in] TENSOR_DEPTH Number of elements to load from Z (depth) dimension |
| 860 | * @param[in] STRIDE_Y Stride Y (in bytes) |
| 861 | * @param[out] xi A tile with (TILE_WIDTH x TILE_HEIGHT) values with the indirect X coordinate |
| 862 | * @param[out] yi A tile with (TILE_WIDTH x TILE_HEIGHT) values with the indirect Y coordinate |
| 863 | * @param[out] zi A tile with (TILE_WIDTH x TILE_HEIGHT) values with the indirect Z coordinate |
| 864 | * @param[out] dst Output tile |
| 865 | */ |
| 866 | #define T_LOAD_NDHWC_INDIRECT(DATA_TYPE, TILE_AREA, TILE_CHANNELS, TENSOR_TYPE, TENSOR, B, Z, Y, X, C, TENSOR_WIDTH, TENSOR_HEIGHT, TENSOR_DEPTH, STRIDE_Y, xi, yi, zi, dst) \ |
| 867 | ({ \ |
| 868 | LOOP_UNROLLING(int, _i, 0, 1, TILE_AREA, \ |
| 869 | { \ |
| 870 | int _src_y = (X) + xi[_i].v + ((Y) + yi[_i].v) * (TENSOR_WIDTH) + ((Z) + zi[_i].v) * (TENSOR_WIDTH * TENSOR_HEIGHT); \ |
| 871 | _src_y += (B) * (int)(TENSOR_WIDTH) * (int)(TENSOR_HEIGHT) * (int)(TENSOR_DEPTH); \ |
| 872 | int _src_valid_y = (((X) + xi[_i].v) >= 0 && ((X) + xi[_i].v) < (int)(TENSOR_WIDTH) && ((Y) + yi[_i].v) >= 0 && ((Y) + yi[_i].v) < (int)(TENSOR_HEIGHT) \ |
| 873 | && ((Z) + zi[_i].v) >= 0 && ((Z) + zi[_i].v) < (int)(TENSOR_DEPTH)); \ |
| 874 | if(_src_valid_y != 0) \ |
| 875 | { \ |
| 876 | dst[_i].v = V_LOAD(DATA_TYPE, TILE_CHANNELS, TENSOR_TYPE, TENSOR, C, _src_y, STRIDE_Y); \ |
| 877 | } \ |
| 878 | }) \ |
| 879 | }) |
| 880 | |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 881 | /** Store a tile to global memory (tensor) using an indirect Y index tile and conditionally use a different length for the store |
| 882 | * |
| 883 | * @note If WIDTH1_CONDITION is true, the store will use the WIDTH1 length for the store |
| 884 | * @note The vectors are stored in reverse order so the invalid rows are overwritten by the valid ones |
| 885 | * |
| 886 | * @param[in] DATA_TYPE Data type |
| 887 | * @param[in] HEIGHT Number of src rows |
| 888 | * @param[in] WIDTH0 Store width to use if WIDTH1_CONDITION = false |
| 889 | * @param[in] WIDTH1 Store width to use if WIDTH1_CONDITION = true |
| 890 | * @param[in] TENSOR_TYPE Type of cl_type used to store the tensor in global memory (BUFFER=cl_buffer, IMAGE=cl_image). Currently BUFFER only is supported |
| 891 | * cl_image is not supported. |
| 892 | * @param[in] TENSOR Tensor basename |
| 893 | * @param[in] X Starting X position |
| 894 | * @param[in] STRIDE_Y Stride Y (in bytes) |
| 895 | * @param[in] WIDTH1_CONDITION Condition to select the WIDTH1 store |
| 896 | * @param[in] src Input tile |
| 897 | * @param[in] indirect_y Indirect Y index tile |
| 898 | */ |
Gian Marco Iodice | a8903c8 | 2021-03-24 14:48:22 +0000 | [diff] [blame] | 899 | #define T_STORE_INDIRECT_WIDTH_SELECT(DATA_TYPE, HEIGHT, WIDTH0, WIDTH1, TENSOR_TYPE, TENSOR, X, STRIDE_Y, WIDTH1_CONDITION, src, indirect_y) \ |
| 900 | ({ \ |
| 901 | if(WIDTH1_CONDITION) \ |
| 902 | { \ |
Giorgio Arena | bdd16d1 | 2021-05-13 16:58:51 +0100 | [diff] [blame] | 903 | LOOP_UNROLLING(int, _i, 0, 1, HEIGHT, \ |
Gian Marco Iodice | a8903c8 | 2021-03-24 14:48:22 +0000 | [diff] [blame] | 904 | { \ |
| 905 | VSTORE_PARTIAL(WIDTH0, WIDTH1) \ |
Giorgio Arena | 945ae9e | 2021-10-13 11:13:04 +0100 | [diff] [blame] | 906 | (CONVERT(src[HEIGHT - 1 - _i].v, VEC_DATA_TYPE(DATA_TYPE, WIDTH0)), 0, (__global DATA_TYPE *)(TENSOR##_ptr + TENSOR##_offset_first_element_in_bytes + (X) * sizeof(DATA_TYPE) + (indirect_y[HEIGHT - 1 - _i].v) * STRIDE_Y)); \ |
Giorgio Arena | bdd16d1 | 2021-05-13 16:58:51 +0100 | [diff] [blame] | 907 | }) \ |
Gian Marco Iodice | a8903c8 | 2021-03-24 14:48:22 +0000 | [diff] [blame] | 908 | } \ |
| 909 | else \ |
| 910 | { \ |
Giorgio Arena | bdd16d1 | 2021-05-13 16:58:51 +0100 | [diff] [blame] | 911 | LOOP_UNROLLING(int, _i, 0, 1, HEIGHT, \ |
Gian Marco Iodice | a8903c8 | 2021-03-24 14:48:22 +0000 | [diff] [blame] | 912 | { \ |
| 913 | VSTORE(WIDTH0) \ |
Giorgio Arena | 945ae9e | 2021-10-13 11:13:04 +0100 | [diff] [blame] | 914 | (CONVERT(src[HEIGHT - 1 - _i].v, VEC_DATA_TYPE(DATA_TYPE, WIDTH0)), 0, (__global DATA_TYPE *)(TENSOR##_ptr + TENSOR##_offset_first_element_in_bytes + (X) * sizeof(DATA_TYPE) + (indirect_y[HEIGHT - 1 - _i].v) * STRIDE_Y)); \ |
Giorgio Arena | bdd16d1 | 2021-05-13 16:58:51 +0100 | [diff] [blame] | 915 | }) \ |
Gian Marco Iodice | a8903c8 | 2021-03-24 14:48:22 +0000 | [diff] [blame] | 916 | } \ |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 917 | }) |
| 918 | |
| 919 | /** Offset correction for the QASYMM8 computation |
| 920 | * |
| 921 | * @param[in] ACC_DATA_TYPE Accumulator data type |
| 922 | * @param[in] M0 Number of src/dst rows |
| 923 | * @param[in] N0 Number of src/dst columns |
| 924 | * @param[in] K0 Number of src columns |
| 925 | * @param[in] SRC_OFFSET Source quantization offset |
| 926 | * @param[in] WEI_OFFSET Weights quantization shift |
| 927 | * @param[in] lhs LHS tile |
| 928 | * @param[in] rhs RHS tile |
| 929 | * @param[out] dst DST tile |
| 930 | */ |
Giorgio Arena | bdd16d1 | 2021-05-13 16:58:51 +0100 | [diff] [blame] | 931 | #define T_OFFSET_CORRECTION(ACC_DATA_TYPE, M0, N0, K0, SRC_OFFSET, WEI_OFFSET, lhs, rhs, dst) \ |
| 932 | ({ \ |
| 933 | LOOP_UNROLLING(int, _m0, 0, 1, M0, \ |
| 934 | { \ |
| 935 | ACC_DATA_TYPE _tm = 0; \ |
| 936 | LOOP_UNROLLING(int, _k0, 0, 1, K0, \ |
| 937 | { \ |
| 938 | _tm += ((ACC_DATA_TYPE)lhs[_m0].s[_k0] * (ACC_DATA_TYPE)WEI_OFFSET); \ |
| 939 | }) \ |
| 940 | LOOP_UNROLLING(int, _n0, 0, 1, N0, \ |
| 941 | { \ |
| 942 | dst[_m0].s[_n0] += _tm; \ |
| 943 | LOOP_UNROLLING(int, _k0, 0, 1, K0, \ |
| 944 | { \ |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 945 | dst[_m0].s[_n0] += ((ACC_DATA_TYPE)rhs[_n0].s[_k0] * (ACC_DATA_TYPE)SRC_OFFSET); \ |
Giorgio Arena | bdd16d1 | 2021-05-13 16:58:51 +0100 | [diff] [blame] | 946 | }) \ |
| 947 | }) \ |
Gian Marco Iodice | 8155c02 | 2021-04-16 15:08:59 +0100 | [diff] [blame] | 948 | }) \ |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 949 | }) |
| 950 | |
Gian Marco Iodice | 8155c02 | 2021-04-16 15:08:59 +0100 | [diff] [blame] | 951 | /** 8-bit quantization with fixed-point scale |
| 952 | * |
| 953 | * @param[in] SRC_DATA_TYPE SRC data type |
| 954 | * @param[in] DST_DATA_TYPE DST data type |
| 955 | * @param[in] QUANTIZATION_TYPE Quantization type (PER_TENSOR or PER_CHANNEL) |
| 956 | * @param[in] M0 Number of src/dst rows |
| 957 | * @param[in] N0 Number of src/dst columns |
| 958 | * @param[in] DST_OFFSET Quantization offset used for both the per-tensor and per-channel quantization |
| 959 | * @param[in] DST_SHIFT Quantization shift for the per-tensor quantization |
| 960 | * @param[in] DST_MULTIPLIER Quantization multiplier for the per-tensor quantization |
| 961 | * @param[in] src Input tile |
| 962 | * @param[in] dst_multipliers Output multipliers tile for the per-channel quantization |
| 963 | * @param[in] dst_shifts Output shift tile for the per-channel quantization |
| 964 | * @param[out] dst Output tile |
| 965 | */ |
| 966 | #define T_QUANTIZE8(SRC_DATA_TYPE, DST_DATA_TYPE, QUANTIZATION_TYPE, M0, N0, DST_OFFSET, DST_SHIFT, DST_MULTIPLIER, src, dst_multipliers, dst_shifts, dst) T_QUANTIZE8_STR(SRC_DATA_TYPE, DST_DATA_TYPE, QUANTIZATION_TYPE, M0, N0, DST_OFFSET, DST_SHIFT, DST_MULTIPLIER, src, dst_multipliers, dst_shifts, dst) |
| 967 | #define T_QUANTIZE8_STR(SRC_DATA_TYPE, DST_DATA_TYPE, QUANTIZATION_TYPE, M0, N0, DST_OFFSET, DST_SHIFT, DST_MULTIPLIER, src, dst_multipliers, dst_shifts, dst) T_QUANTIZE8_##QUANTIZATION_TYPE(SRC_DATA_TYPE, DST_DATA_TYPE, M0, N0, DST_OFFSET, DST_SHIFT, DST_MULTIPLIER, src, dst_multipliers, dst_shifts, dst) |
| 968 | |
| 969 | /** 8-bit per-tensor quantization with fixed-point scale |
| 970 | * |
| 971 | * @param[in] SRC_DATA_TYPE SRC data type |
| 972 | * @param[in] DST_DATA_TYPE DST data type |
| 973 | * @param[in] M0 Number of src/dst rows |
| 974 | * @param[in] N0 Number of src/dst columns |
| 975 | * @param[in] DST_OFFSET Quantization offset |
| 976 | * @param[in] DST_SHIFT Quantization shift for the per-tensor quantization |
| 977 | * @param[in] DST_MULTIPLIER Quantization multiplier for the per-tensor quantization |
| 978 | * @param[in] src Input tile |
| 979 | * @param[in] dst_multipliers (unused) |
| 980 | * @param[in] dst_shifts (unused) |
| 981 | * @param[out] dst Output tile |
| 982 | */ |
| 983 | #define T_QUANTIZE8_PER_TENSOR(SRC_DATA_TYPE, DST_DATA_TYPE, M0, N0, DST_OFFSET, DST_SHIFT, DST_MULTIPLIER, src, dst_multipliers, dst_shifts, dst) \ |
| 984 | ({ \ |
| 985 | LOOP_UNROLLING(int, _m0, 0, 1, M0, \ |
| 986 | { \ |
| 987 | LOOP_UNROLLING(int, _n0, 0, 1, N0, \ |
| 988 | { \ |
| 989 | SRC_DATA_TYPE _tmp = 0; \ |
| 990 | SRC_DATA_TYPE _src = src[_m0].s[_n0]; \ |
| 991 | _src *= select((SRC_DATA_TYPE)1, ((SRC_DATA_TYPE)1 << (SRC_DATA_TYPE)(-DST_SHIFT)), ((SRC_DATA_TYPE)DST_SHIFT < (SRC_DATA_TYPE)0)); \ |
| 992 | SRC_DATA_TYPE overflow = _src == DST_MULTIPLIER && _src == INT_MIN; \ |
| 993 | long a_64 = (long)(_src); \ |
| 994 | long b_64 = (long)(DST_MULTIPLIER); \ |
| 995 | long ab_64 = a_64 * b_64; \ |
| 996 | long mask1 = 1 << 30; \ |
| 997 | long mask2 = 1 - (1 << 30); \ |
| 998 | long is_positive_or_zero = ab_64 >= 0; \ |
| 999 | long nudge = select(mask2, mask1, is_positive_or_zero); \ |
| 1000 | SRC_DATA_TYPE ab_x2_high32 = CONVERT((ab_64 + nudge) / (long)(1ll << 31), SRC_DATA_TYPE); \ |
| 1001 | _tmp = select(ab_x2_high32, (SRC_DATA_TYPE)INT_MAX, overflow); \ |
| 1002 | if(DST_SHIFT >= 0) \ |
| 1003 | { \ |
Freddie Liardet | 767dbf9 | 2021-07-21 16:20:41 +0100 | [diff] [blame] | 1004 | long mask = ((((int)1) << DST_SHIFT) - (long)1); \ |
Gian Marco Iodice | 8155c02 | 2021-04-16 15:08:59 +0100 | [diff] [blame] | 1005 | long threshold = _tmp < (int)0 ? (mask >> 1) + (long)1 : (mask >> 1) + 0; \ |
| 1006 | _tmp = (_tmp & mask) > threshold ? (_tmp >> DST_SHIFT) + (int)1 : (_tmp >> DST_SHIFT); \ |
| 1007 | } \ |
| 1008 | _tmp += DST_OFFSET; \ |
| 1009 | dst[_m0].s[_n0] = CONVERT_SAT(_tmp, DST_DATA_TYPE); \ |
| 1010 | }) \ |
| 1011 | }) \ |
| 1012 | }) |
| 1013 | |
| 1014 | /** 8-bit per-channel quantization with fixed-point scale |
| 1015 | * |
| 1016 | * @param[in] SRC_DATA_TYPE SRC data type |
| 1017 | * @param[in] DST_DATA_TYPE DST data type |
| 1018 | * @param[in] M0 Number of src/dst rows |
| 1019 | * @param[in] N0 Number of src/dst columns |
| 1020 | * @param[in] DST_OFFSET Quantization offset |
| 1021 | * @param[in] DST_SHIFT (unused) |
| 1022 | * @param[in] DST_MULTIPLIER (unused) |
| 1023 | * @param[in] src Input tile |
| 1024 | * @param[in] dst_multipliers Output multipliers tile for the per-channel quantization |
| 1025 | * @param[in] dst_shifts Output shift tile for the per-channel quantization |
| 1026 | * @param[out] dst Output tile |
| 1027 | */ |
| 1028 | #define T_QUANTIZE8_PER_CHANNEL(SRC_DATA_TYPE, DST_DATA_TYPE, M0, N0, DST_OFFSET, DST_SHIFT, DST_MULTIPLIER, src, dst_multipliers, dst_shifts, dst) \ |
| 1029 | ({ \ |
| 1030 | LOOP_UNROLLING(int, _m0, 0, 1, M0, \ |
| 1031 | { \ |
| 1032 | LOOP_UNROLLING(int, _n0, 0, 1, N0, \ |
| 1033 | { \ |
| 1034 | SRC_DATA_TYPE _tmp = 0; \ |
Pablo Marquez Tello | 96fb194 | 2022-11-01 09:32:20 +0000 | [diff] [blame] | 1035 | SRC_DATA_TYPE _tmp2 = 0; \ |
Gian Marco Iodice | 8155c02 | 2021-04-16 15:08:59 +0100 | [diff] [blame] | 1036 | SRC_DATA_TYPE _src = src[_m0].s[_n0]; \ |
| 1037 | SRC_DATA_TYPE _dst_multiplier = dst_multipliers[0].s[_n0]; \ |
| 1038 | SRC_DATA_TYPE _dst_shift = dst_shifts[0].s[_n0]; \ |
| 1039 | _src *= select((SRC_DATA_TYPE)1, ((SRC_DATA_TYPE)1 << (SRC_DATA_TYPE)(-_dst_shift)), ((SRC_DATA_TYPE)_dst_shift < (SRC_DATA_TYPE)0)); \ |
| 1040 | SRC_DATA_TYPE overflow = _src == _dst_multiplier && _src == INT_MIN; \ |
| 1041 | long a_64 = (long)(_src); \ |
| 1042 | long b_64 = (long)(_dst_multiplier); \ |
| 1043 | long ab_64 = a_64 * b_64; \ |
| 1044 | long mask1 = 1 << 30; \ |
| 1045 | long mask2 = 1 - (1 << 30); \ |
| 1046 | long is_positive_or_zero = ab_64 >= 0; \ |
| 1047 | long nudge = select(mask2, mask1, is_positive_or_zero); \ |
| 1048 | SRC_DATA_TYPE ab_x2_high32 = CONVERT((ab_64 + nudge) / (long)(1ll << 31), SRC_DATA_TYPE); \ |
| 1049 | _tmp = select(ab_x2_high32, (SRC_DATA_TYPE)INT_MAX, overflow); \ |
Pablo Marquez Tello | 96fb194 | 2022-11-01 09:32:20 +0000 | [diff] [blame] | 1050 | long mask = ((((int)1) << _dst_shift) - (int)1); \ |
| 1051 | long threshold = (mask >> 1) + any(_tmp); \ |
| 1052 | _tmp2 = _tmp >> _dst_shift; \ |
| 1053 | _tmp2 += select(0, 1, (_tmp & mask) > threshold); \ |
| 1054 | _tmp = select(_tmp, _tmp2, _dst_shift >= 0); \ |
Gian Marco Iodice | 8155c02 | 2021-04-16 15:08:59 +0100 | [diff] [blame] | 1055 | _tmp += DST_OFFSET; \ |
| 1056 | dst[_m0].s[_n0] = CONVERT_SAT(_tmp, DST_DATA_TYPE); \ |
| 1057 | }) \ |
| 1058 | }) \ |
| 1059 | }) |
| 1060 | |
| 1061 | /** Quantized the 8-bit tile with fixed-point scale for asymmetric |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 1062 | * |
| 1063 | * @param[in] SRC_DATA_TYPE SRC data type |
| 1064 | * @param[in] DST_DATA_TYPE DST data type |
| 1065 | * @param[in] M0 Number of src/dst rows |
| 1066 | * @param[in] N0 Number of src/dst columns |
Gian Marco Iodice | 8155c02 | 2021-04-16 15:08:59 +0100 | [diff] [blame] | 1067 | * @param[in] DST_OFFSET Quantization offset used for both the per-tensor and per-channel quantization |
| 1068 | * @param[in] DST_SHIFT Quantization shift for the per-tensor quantization |
| 1069 | * @param[in] DST_MULTIPLIER Quantization multiplier for the per-tensor quantization |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 1070 | * @param[in] src Input tile |
| 1071 | * @param[out] dst Output tile |
| 1072 | */ |
Gian Marco Iodice | 8155c02 | 2021-04-16 15:08:59 +0100 | [diff] [blame] | 1073 | #define T_QUANTIZE8_ASYMMETRIC(SRC_DATA_TYPE, DST_DATA_TYPE, M0, N0, DST_OFFSET, DST_SHIFT, DST_MULTIPLIER, src, dst) \ |
| 1074 | ({ \ |
| 1075 | LOOP_UNROLLING(int, _m0, 0, 1, M0, \ |
| 1076 | { \ |
| 1077 | LOOP_UNROLLING(int, _n0, 0, 1, N0, \ |
| 1078 | { \ |
| 1079 | SRC_DATA_TYPE _tmp = 0; \ |
| 1080 | SRC_DATA_TYPE _src = src[_m0].s[_n0]; \ |
| 1081 | _src *= select((SRC_DATA_TYPE)1, ((SRC_DATA_TYPE)1 << (SRC_DATA_TYPE)(-DST_SHIFT)), ((SRC_DATA_TYPE)DST_SHIFT < (SRC_DATA_TYPE)0)); \ |
| 1082 | SRC_DATA_TYPE overflow = _src == DST_MULTIPLIER && _src == INT_MIN; \ |
| 1083 | long a_64 = (long)(_src); \ |
| 1084 | long b_64 = (long)(DST_MULTIPLIER); \ |
| 1085 | long ab_64 = a_64 * b_64; \ |
| 1086 | long mask1 = 1 << 30; \ |
| 1087 | long mask2 = 1 - (1 << 30); \ |
| 1088 | long is_positive_or_zero = ab_64 >= 0; \ |
| 1089 | long nudge = select(mask2, mask1, is_positive_or_zero); \ |
| 1090 | SRC_DATA_TYPE ab_x2_high32 = CONVERT((ab_64 + nudge) / (long)(1ll << 31), SRC_DATA_TYPE); \ |
| 1091 | _tmp = select(ab_x2_high32, (SRC_DATA_TYPE)INT_MAX, overflow); \ |
| 1092 | if(DST_SHIFT >= 0) \ |
| 1093 | { \ |
| 1094 | long mask = ((((int)1) << DST_SHIFT) - (int)1); \ |
| 1095 | long threshold = _tmp < (int)0 ? (mask >> 1) + (long)1 : (mask >> 1) + 0; \ |
| 1096 | _tmp = (_tmp & mask) > threshold ? (_tmp >> DST_SHIFT) + (int)1 : (_tmp >> DST_SHIFT); \ |
| 1097 | } \ |
| 1098 | _tmp += DST_OFFSET; \ |
| 1099 | dst[_m0].s[_n0] = CONVERT_SAT(_tmp, DST_DATA_TYPE); \ |
| 1100 | }) \ |
| 1101 | }) \ |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 1102 | }) |
| 1103 | |
| 1104 | /** Conditional rowset (memset by row) |
| 1105 | * |
| 1106 | * @note Set the row to VALUE_TO_SET if the corresponding mask == 0 |
| 1107 | * |
| 1108 | * @param[in] DATA_TYPE Data type |
| 1109 | * @param[in] M0 Number of LHS rows |
| 1110 | * @param[in] N0 Number of LHS columns |
| 1111 | * @param[in] VALUE_TO_SET Value to set the row |
| 1112 | * @param[in, out] a Input/output tile |
| 1113 | * @param[out] mask Mask to check for setting the row to VALUE_TO_SET |
| 1114 | */ |
| 1115 | #define T_ROWSET_MASK(DATA_TYPE, M0, N0, VALUE_TO_SET, a, mask) \ |
Giorgio Arena | bdd16d1 | 2021-05-13 16:58:51 +0100 | [diff] [blame] | 1116 | ({ \ |
| 1117 | LOOP_UNROLLING(int, _m0, 0, 1, M0, \ |
| 1118 | { \ |
| 1119 | LOOP_UNROLLING(int, _n0, 0, 1, N0, \ |
| 1120 | { \ |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 1121 | a[_m0].s[_n0] = select((DATA_TYPE)(a[_m0].s[_n0]), (DATA_TYPE)(VALUE_TO_SET), (SELECT_DATA_TYPE(DATA_TYPE))(mask[_m0].v == (DATA_TYPE)0)); \ |
Giorgio Arena | bdd16d1 | 2021-05-13 16:58:51 +0100 | [diff] [blame] | 1122 | }) \ |
| 1123 | }) \ |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 1124 | }) |
| 1125 | |
Gian Marco Iodice | 8155c02 | 2021-04-16 15:08:59 +0100 | [diff] [blame] | 1126 | /** Element-wise activation for floating point types |
Gian Marco Iodice | a8903c8 | 2021-03-24 14:48:22 +0000 | [diff] [blame] | 1127 | * |
| 1128 | * @note Performs: activation(LHS) = DST |
| 1129 | * |
| 1130 | * @param[in] DATA_TYPE SRC/DST data type |
| 1131 | * @param[in] M0 Number of SRC/DST rows |
| 1132 | * @param[in] N0 Number of SRC/DST columns |
| 1133 | * @param[in] ACTIVATION_TYPE Activation type |
| 1134 | * @param[in] A_VAL A value used for the activation (e.g. tanh_op, brelu,..) |
| 1135 | * @param[in] B_VAL B value used for the activation (e.g. tanh_op, brelu,..) |
| 1136 | * @param[out] src SRC tile |
| 1137 | * @param[out] dst DST tile |
| 1138 | */ |
| 1139 | #define T_ACTIVATION(DATA_TYPE, M0, N0, ACTIVATION_TYPE, A_VAL, B_VAL, src, dst) \ |
Giorgio Arena | bdd16d1 | 2021-05-13 16:58:51 +0100 | [diff] [blame] | 1140 | ({ \ |
| 1141 | LOOP_UNROLLING(int, _m0, 0, 1, M0, \ |
| 1142 | { \ |
Gian Marco Iodice | a8903c8 | 2021-03-24 14:48:22 +0000 | [diff] [blame] | 1143 | dst[_m0].v = ACTIVATION(ACTIVATION_TYPE, DATA_TYPE, N0, src[_m0].v, A_VAL, B_VAL); \ |
Giorgio Arena | bdd16d1 | 2021-05-13 16:58:51 +0100 | [diff] [blame] | 1144 | }) \ |
Gian Marco Iodice | a8903c8 | 2021-03-24 14:48:22 +0000 | [diff] [blame] | 1145 | }) |
| 1146 | |
Gian Marco Iodice | 8155c02 | 2021-04-16 15:08:59 +0100 | [diff] [blame] | 1147 | |
Mohammed Suhail Munshi | c9eeee5 | 2023-06-30 15:43:29 +0100 | [diff] [blame^] | 1148 | // NOTE : A_VAL and B_VAL should be quantized values (using same quantization info as x) |
| 1149 | // RELU Activation |
| 1150 | #define relu_op_quantized(DATA_TYPE, VEC_SIZE, ZERO_POINT, A_VAL, B_VAL, x) (max((DATA_TYPE)ZERO_POINT, x)) |
| 1151 | // Bounded RELU Activation |
| 1152 | #define brelu_op_quantized(DATA_TYPE, VEC_SIZE, ZERO_POINT, A_VAL, B_VAL, x) (min((DATA_TYPE)A_VAL, max((DATA_TYPE)ZERO_POINT, x))) |
| 1153 | // Lower Upper Bounded RELU Activation |
| 1154 | #define lu_brelu_op_quantized(DATA_TYPE, VEC_SIZE, ZERO_POINT, A_VAL, B_VAL, x) (min(max(x, (DATA_TYPE)B_VAL), (DATA_TYPE)A_VAL)) |
| 1155 | // Hard Swish Activation |
| 1156 | #define hard_swish_op_quantized(DATA_TYPE, VEC_SIZE, ZERO_POINT, A_VAL, B_VAL, x) (x * ((min(max((DATA_TYPE)(x + (DATA_TYPE)3.f), (DATA_TYPE)0.f), (DATA_TYPE)6.f)) * (DATA_TYPE)0.166666667f)) |
| 1157 | // Identity Activation |
| 1158 | #define identity_op_quantized(DATA_TYPE, VEC_SIZE, ZERO_POINT, A_VAL, B_VAL, x) (x) |
| 1159 | |
| 1160 | #define ACT_OP_QUANTIZED(op, DATA_TYPE, VEC_SIZE, ZERO_POINT, A_VAL, B_VAL, x) op##_op_quantized(DATA_TYPE, VEC_SIZE, ZERO_POINT, A_VAL, B_VAL, x) |
| 1161 | #define ACTIVATION_QUANTIZED(op, DATA_TYPE, VEC_SIZE, ZERO_POINT, A_VAL, B_VAL, x) ACT_OP_QUANTIZED(op, DATA_TYPE, VEC_SIZE, ZERO_POINT, A_VAL, B_VAL, x) |
Gian Marco Iodice | 8155c02 | 2021-04-16 15:08:59 +0100 | [diff] [blame] | 1162 | |
Gunes Bayir | 4bfc70e | 2021-12-10 16:17:56 +0000 | [diff] [blame] | 1163 | #define V_ADD(A_VAL, B_VAL) ((A_VAL) + (B_VAL)) |
Ramy Elgammal | ec320d9 | 2022-12-14 09:20:09 +0000 | [diff] [blame] | 1164 | #define V_SUB(A_VAL, B_VAL) ((A_VAL) - (B_VAL)) |
Gunes Bayir | 4bfc70e | 2021-12-10 16:17:56 +0000 | [diff] [blame] | 1165 | #define V_DIV(A_VAL, B_VAL) ((A_VAL) / (B_VAL)) |
Jakub Sujak | 7359a87 | 2023-01-05 14:24:13 +0000 | [diff] [blame] | 1166 | #define V_MUL(A_VAL, B_VAL) ((A_VAL) * (B_VAL)) |
Michalis Spyrou | b1fcefd | 2022-06-15 19:02:28 +0100 | [diff] [blame] | 1167 | |
Gian Marco Iodice | 8155c02 | 2021-04-16 15:08:59 +0100 | [diff] [blame] | 1168 | /** Element-wise activation for quantized types |
| 1169 | * |
| 1170 | * @note Performs: activation(LHS) = DST |
| 1171 | * |
| 1172 | * @param[in] DATA_TYPE SRC/DST data type |
| 1173 | * @param[in] M0 Number of SRC/DST rows |
| 1174 | * @param[in] N0 Number of SRC/DST columns |
| 1175 | * @param[in] ACTIVATION_TYPE Activation type |
Mohammed Suhail Munshi | c9eeee5 | 2023-06-30 15:43:29 +0100 | [diff] [blame^] | 1176 | * @param[in] ZERO_POINT The zero value to consider in the computation |
| 1177 | * @param[in] A_VAL Quantized A value used for the activation (e.g. tanh_op, brelu,..) |
| 1178 | * @param[in] B_VAL Quantized B value used for the activation (e.g. tanh_op, brelu,..) |
Gian Marco Iodice | 8155c02 | 2021-04-16 15:08:59 +0100 | [diff] [blame] | 1179 | * @param[out] src SRC tile |
| 1180 | * @param[out] dst DST tile |
| 1181 | */ |
Mohammed Suhail Munshi | c9eeee5 | 2023-06-30 15:43:29 +0100 | [diff] [blame^] | 1182 | #define T_ACTIVATION_QUANTIZED(DATA_TYPE, M0, N0, ACTIVATION_TYPE, ZERO_POINT, A_VAL, B_VAL, src, dst) \ |
Gian Marco Iodice | 8155c02 | 2021-04-16 15:08:59 +0100 | [diff] [blame] | 1183 | ({ \ |
| 1184 | LOOP_UNROLLING(int, _m0, 0, 1, M0, \ |
| 1185 | { \ |
Mohammed Suhail Munshi | c9eeee5 | 2023-06-30 15:43:29 +0100 | [diff] [blame^] | 1186 | dst[_m0].v = ACTIVATION_QUANTIZED(ACTIVATION_TYPE, DATA_TYPE, N0, ZERO_POINT, A_VAL, B_VAL, src[_m0].v); \ |
Gian Marco Iodice | 8155c02 | 2021-04-16 15:08:59 +0100 | [diff] [blame] | 1187 | }) \ |
| 1188 | }) |
| 1189 | |
Gunes Bayir | 4bfc70e | 2021-12-10 16:17:56 +0000 | [diff] [blame] | 1190 | /** Element-wise addition between two tiles |
| 1191 | * |
| 1192 | * @note Performs: LHS + RHS = DST |
| 1193 | * |
| 1194 | * @param[in] DATA_TYPE LHS/RHS/DST data type |
| 1195 | * @param[in] M0 Number of LHS rows |
| 1196 | * @param[in] N0 Number of LHS columns |
| 1197 | * @param[in] lhs LHS tile |
| 1198 | * @param[in] rhs Constant RHS tile |
| 1199 | * @param[out] dst DST tile |
| 1200 | */ |
| 1201 | #define T_ADD(DATA_TYPE, M0, N0, lhs, rhs, dst) \ |
| 1202 | ({ \ |
| 1203 | LOOP_UNROLLING(int, _m0, 0, 1, M0, \ |
| 1204 | { \ |
| 1205 | dst[_m0].v = lhs[_m0].v + rhs[_m0].v; \ |
| 1206 | }) \ |
| 1207 | }) |
| 1208 | |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 1209 | /** Element-wise addition with a constant value |
| 1210 | * |
| 1211 | * @note Performs: LHS + constant = DST |
| 1212 | * |
| 1213 | * @param[in] DATA_TYPE LHS/RHS/DST data type |
| 1214 | * @param[in] M0 Number of LHS rows |
| 1215 | * @param[in] N0 Number of LHS columns |
| 1216 | * @param[in] lhs LHS tile |
| 1217 | * @param[in] rhs_constant Constant value |
| 1218 | * @param[out] dst DST tile |
| 1219 | */ |
| 1220 | #define T_ADD_CONSTANT(DATA_TYPE, M0, N0, lhs, rhs_constant, dst) \ |
Giorgio Arena | bdd16d1 | 2021-05-13 16:58:51 +0100 | [diff] [blame] | 1221 | ({ \ |
| 1222 | LOOP_UNROLLING(int, _m0, 0, 1, M0, \ |
| 1223 | { \ |
Gunes Bayir | 4bfc70e | 2021-12-10 16:17:56 +0000 | [diff] [blame] | 1224 | dst[_m0].v = lhs[_m0].v + (DATA_TYPE)rhs_constant; \ |
Giorgio Arena | bdd16d1 | 2021-05-13 16:58:51 +0100 | [diff] [blame] | 1225 | }) \ |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 1226 | }) |
| 1227 | |
Gunes Bayir | 4bfc70e | 2021-12-10 16:17:56 +0000 | [diff] [blame] | 1228 | #define T_ELTWISE_BROADCAST_ADD_X(DST_DATA_TYPE, M0, N0, lhs, rhs, dst) T_ELTWISE_BROADCAST_X(V_ADD, DST_DATA_TYPE, M0, N0, lhs, rhs, dst) |
Viet-Hoa Do | b3077fb | 2023-01-03 17:59:14 +0000 | [diff] [blame] | 1229 | #define T_ELTWISE_BROADCAST_LHS_X_ADD(DST_DATA_TYPE, M0, N0, lhs, rhs, dst) T_ELTWISE_BROADCAST_LHS_X(V_ADD, DST_DATA_TYPE, M0, N0, lhs, rhs, dst) |
| 1230 | #define T_ELTWISE_BROADCAST_RHS_X_ADD(DST_DATA_TYPE, M0, N0, lhs, rhs, dst) T_ELTWISE_BROADCAST_X(V_ADD, DST_DATA_TYPE, M0, N0, lhs, rhs, dst) |
| 1231 | |
Ramy Elgammal | ec320d9 | 2022-12-14 09:20:09 +0000 | [diff] [blame] | 1232 | #define T_ELTWISE_BROADCAST_LHS_X_SUB(DST_DATA_TYPE, M0, N0, lhs, rhs, dst) T_ELTWISE_BROADCAST_LHS_X(V_SUB, DST_DATA_TYPE, M0, N0, lhs, rhs, dst) |
| 1233 | #define T_ELTWISE_BROADCAST_RHS_X_SUB(DST_DATA_TYPE, M0, N0, lhs, rhs, dst) T_ELTWISE_BROADCAST_X(V_SUB, DST_DATA_TYPE, M0, N0, lhs, rhs, dst) |
| 1234 | |
Gunes Bayir | 4bfc70e | 2021-12-10 16:17:56 +0000 | [diff] [blame] | 1235 | #define T_ELTWISE_BROADCAST_DIV_X(DST_DATA_TYPE, M0, N0, lhs, rhs, dst) T_ELTWISE_BROADCAST_X(V_DIV, DST_DATA_TYPE, M0, N0, lhs, rhs, dst) |
| 1236 | |
Jakub Sujak | 7359a87 | 2023-01-05 14:24:13 +0000 | [diff] [blame] | 1237 | #define T_ELTWISE_BROADCAST_LHS_X_MUL(DST_DATA_TYPE, M0, N0, lhs, rhs, dst) T_ELTWISE_BROADCAST_LHS_X(V_MUL, DST_DATA_TYPE, M0, N0, lhs, rhs, dst) |
| 1238 | #define T_ELTWISE_BROADCAST_RHS_X_MUL(DST_DATA_TYPE, M0, N0, lhs, rhs, dst) T_ELTWISE_BROADCAST_X(V_MUL, DST_DATA_TYPE, M0, N0, lhs, rhs, dst) |
| 1239 | |
Gunes Bayir | 4bfc70e | 2021-12-10 16:17:56 +0000 | [diff] [blame] | 1240 | /** Element-wise scale with a constant value |
| 1241 | * |
| 1242 | * @note Performs: LHS * constant = DST |
| 1243 | * |
| 1244 | * @param[in] DATA_TYPE LHS/RHS/DST data type |
| 1245 | * @param[in] M0 Number of LHS rows |
| 1246 | * @param[in] N0 Number of LHS columns |
| 1247 | * @param[in] lhs LHS tile |
| 1248 | * @param[in] rhs_constant Constant value |
| 1249 | * @param[out] dst DST tile |
| 1250 | */ |
| 1251 | #define T_SCALE_CONSTANT(DATA_TYPE, M0, N0, lhs, rhs_constant, dst) \ |
| 1252 | ({ \ |
| 1253 | LOOP_UNROLLING(int, _m0, 0, 1, M0, \ |
| 1254 | { \ |
| 1255 | dst[_m0].v = lhs[_m0].v * (DATA_TYPE)rhs_constant; \ |
| 1256 | }) \ |
| 1257 | }) |
Michalis Spyrou | b1fcefd | 2022-06-15 19:02:28 +0100 | [diff] [blame] | 1258 | |
| 1259 | /** Element-wise operation with RHS broadcasted (RHS has the X dimension only) |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 1260 | * |
Michalis Spyrou | b1fcefd | 2022-06-15 19:02:28 +0100 | [diff] [blame] | 1261 | * @note Performs: LHS OP RHS[broadcasted] = DST |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 1262 | * @note Both tiles must have same data type |
| 1263 | * |
Michalis Spyrou | b1fcefd | 2022-06-15 19:02:28 +0100 | [diff] [blame] | 1264 | * @param[in] T_ELWISE_OP Elementwise operator to perform |
Giorgio Arena | 945ae9e | 2021-10-13 11:13:04 +0100 | [diff] [blame] | 1265 | * @param[in] DST_DATA_TYPE DST data type |
| 1266 | * @param[in] M0 Number of LHS rows |
| 1267 | * @param[in] N0 Number of LHS columns |
| 1268 | * @param[in] lhs LHS tile |
| 1269 | * @param[in] rhs RHS tile |
| 1270 | * @param[out] dst DST tile |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 1271 | */ |
Michalis Spyrou | b1fcefd | 2022-06-15 19:02:28 +0100 | [diff] [blame] | 1272 | #define T_ELTWISE_BROADCAST_X(T_ELWISE_OP, DST_DATA_TYPE, M0, N0, lhs, rhs, dst) \ |
Giorgio Arena | bdd16d1 | 2021-05-13 16:58:51 +0100 | [diff] [blame] | 1273 | ({ \ |
| 1274 | LOOP_UNROLLING(int, _m0, 0, 1, M0, \ |
| 1275 | { \ |
Michalis Spyrou | b1fcefd | 2022-06-15 19:02:28 +0100 | [diff] [blame] | 1276 | dst[_m0].v = T_ELWISE_OP(CONVERT(lhs[_m0].v, VEC_DATA_TYPE(DST_DATA_TYPE, N0)), CONVERT(rhs[0].v, VEC_DATA_TYPE(DST_DATA_TYPE, N0))); \ |
Giorgio Arena | bdd16d1 | 2021-05-13 16:58:51 +0100 | [diff] [blame] | 1277 | }) \ |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 1278 | }) |
| 1279 | |
Viet-Hoa Do | b3077fb | 2023-01-03 17:59:14 +0000 | [diff] [blame] | 1280 | /** Element-wise operation with LHS broadcasted (LHS has the X dimension only) |
| 1281 | * |
| 1282 | * @note Performs: LHS[broadcasted] OP RHS = DST |
| 1283 | * @note Both tiles must have same data type |
| 1284 | * |
| 1285 | * @param[in] T_ELWISE_OP Elementwise operator to perform |
| 1286 | * @param[in] DST_DATA_TYPE DST data type |
| 1287 | * @param[in] M0 Number of RHS rows |
| 1288 | * @param[in] N0 Number of RHS columns |
| 1289 | * @param[in] lhs LHS tile |
| 1290 | * @param[in] rhs RHS tile |
| 1291 | * @param[out] dst DST tile |
| 1292 | */ |
| 1293 | #define T_ELTWISE_BROADCAST_LHS_X(T_ELWISE_OP, DST_DATA_TYPE, M0, N0, lhs, rhs, dst) \ |
| 1294 | ({ \ |
| 1295 | LOOP_UNROLLING(int, _m0, 0, 1, M0, \ |
| 1296 | { \ |
| 1297 | dst[_m0].v = T_ELWISE_OP(CONVERT(lhs[0].v, VEC_DATA_TYPE(DST_DATA_TYPE, N0)), CONVERT(rhs[_m0].v, VEC_DATA_TYPE(DST_DATA_TYPE, N0))); \ |
| 1298 | }) \ |
| 1299 | }) |
| 1300 | |
Gunes Bayir | 4bfc70e | 2021-12-10 16:17:56 +0000 | [diff] [blame] | 1301 | #define T_ELTWISE_ADD(DST_DATA_TYPE, M0, N0, lhs, rhs, dst) T_ELTWISE(V_ADD, DST_DATA_TYPE, M0, N0, lhs, rhs, dst) |
Ramy Elgammal | ec320d9 | 2022-12-14 09:20:09 +0000 | [diff] [blame] | 1302 | #define T_ELTWISE_SUB(DST_DATA_TYPE, M0, N0, lhs, rhs, dst) T_ELTWISE(V_SUB, DST_DATA_TYPE, M0, N0, lhs, rhs, dst) |
Gunes Bayir | 4bfc70e | 2021-12-10 16:17:56 +0000 | [diff] [blame] | 1303 | #define T_ELTWISE_DIV(DST_DATA_TYPE, M0, N0, lhs, rhs, dst) T_ELTWISE(V_DIV, DST_DATA_TYPE, M0, N0, lhs, rhs, dst) |
Jakub Sujak | 7359a87 | 2023-01-05 14:24:13 +0000 | [diff] [blame] | 1304 | #define T_ELTWISE_MUL(DST_DATA_TYPE, M0, N0, lhs, rhs, dst) T_ELTWISE(V_MUL, DST_DATA_TYPE, M0, N0, lhs, rhs, dst) |
Michalis Spyrou | b1fcefd | 2022-06-15 19:02:28 +0100 | [diff] [blame] | 1305 | |
| 1306 | /** Element-wise operation between two tiles (LHS and RHS) |
Michalis Spyrou | 06adbc5 | 2022-05-06 17:06:21 +0100 | [diff] [blame] | 1307 | * |
Michalis Spyrou | b1fcefd | 2022-06-15 19:02:28 +0100 | [diff] [blame] | 1308 | * @note Performs: LHS OP RHS = DST |
Michalis Spyrou | 06adbc5 | 2022-05-06 17:06:21 +0100 | [diff] [blame] | 1309 | * @note Both tiles must have same data type |
| 1310 | * |
Michalis Spyrou | b1fcefd | 2022-06-15 19:02:28 +0100 | [diff] [blame] | 1311 | * @param[in] T_ELWISE_OP Elementwise operator to perform |
Michalis Spyrou | 06adbc5 | 2022-05-06 17:06:21 +0100 | [diff] [blame] | 1312 | * @param[in] DST_DATA_TYPE DST data type |
| 1313 | * @param[in] M0 Number of LHS rows |
| 1314 | * @param[in] N0 Number of LHS columns |
| 1315 | * @param[in] lhs LHS tile |
| 1316 | * @param[in] rhs RHS tile |
| 1317 | * @param[out] dst DST tile |
| 1318 | */ |
Michalis Spyrou | b1fcefd | 2022-06-15 19:02:28 +0100 | [diff] [blame] | 1319 | #define T_ELTWISE(T_ELWISE_OP, DST_DATA_TYPE, M0, N0, lhs, rhs, dst) \ |
Michalis Spyrou | 06adbc5 | 2022-05-06 17:06:21 +0100 | [diff] [blame] | 1320 | ({ \ |
| 1321 | LOOP_UNROLLING(int, _m0, 0, 1, M0, \ |
| 1322 | { \ |
Michalis Spyrou | b1fcefd | 2022-06-15 19:02:28 +0100 | [diff] [blame] | 1323 | dst[_m0].v = T_ELWISE_OP(CONVERT(lhs[_m0].v, VEC_DATA_TYPE(DST_DATA_TYPE, N0)), CONVERT(rhs[_m0].v, VEC_DATA_TYPE(DST_DATA_TYPE, N0))); \ |
| 1324 | }) \ |
| 1325 | }) |
| 1326 | |
| 1327 | /** Floor operation on a tile |
| 1328 | * |
| 1329 | * @note Performs: floor(SRC) = DST |
| 1330 | * @note Both tiles must have same data type |
| 1331 | * |
| 1332 | * @param[in] DST_DATA_TYPE DST data type |
| 1333 | * @param[in] M0 Number of SRC rows |
| 1334 | * @param[in] N0 Number of SRC columns |
| 1335 | * @param[in] src LHS tile |
| 1336 | * @param[out] dst DST tile |
| 1337 | */ |
| 1338 | #define T_FLOOR(DST_DATA_TYPE, M0, N0, src, dst) \ |
| 1339 | ({ \ |
| 1340 | LOOP_UNROLLING(int, _m0, 0, 1, M0, \ |
| 1341 | { \ |
| 1342 | dst[_m0].v = floor(CONVERT(src[_m0].v, VEC_DATA_TYPE(DST_DATA_TYPE, N0))); \ |
Michalis Spyrou | 06adbc5 | 2022-05-06 17:06:21 +0100 | [diff] [blame] | 1343 | }) \ |
| 1344 | }) |
| 1345 | |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 1346 | /** Matrix multiplication |
| 1347 | * |
| 1348 | * @note Performs: LHS X RHS + DST = DST |
| 1349 | * |
| 1350 | * @param[in] LHS_DATA_TYPE LHS tile data type |
| 1351 | * @param[in] RHS_DATA_TYPE RHS tile data type |
| 1352 | * @param[in] DST_DATA_TYPE RHS tile data type |
| 1353 | * @param[in] M0 Number of LHS rows |
| 1354 | * @param[in] N0 Number of RHS columns |
| 1355 | * @param[in] K0 Number of LHS columns |
| 1356 | * @param[in] LHS_LAYOUT LHS layout (T= transposed, NT= not transposed) |
| 1357 | * @param[in] RHS_LAYOUT RHS layout (T= transposed, NT= not transposed) |
| 1358 | * @param[in] lhs LHS tile |
| 1359 | * @param[in] rhs RHS tile |
| 1360 | * @param[in, out] dst DST tile |
Gunes Bayir | 9d0c4de | 2023-04-13 18:22:58 +0100 | [diff] [blame] | 1361 | * |
| 1362 | * @note For Int8/UInt8 multiplications, we only have T_MMUL_NT_T because we need |
| 1363 | * the multiply the rows of Lhs and Rhs tensors to utilize dot product extension. |
| 1364 | * Addition of other versions requires dealing with on the fly transposition of |
| 1365 | * these tile elements and therefore is not favored. |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 1366 | */ |
| 1367 | #define T_MMUL(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, LHS_LAYOUT, RHS_LAYOUT, lhs, rhs, dst) T_MMUL_##LHS_LAYOUT##_##RHS_LAYOUT(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) |
Gian Marco Iodice | 8155c02 | 2021-04-16 15:08:59 +0100 | [diff] [blame] | 1368 | #define T_MMUL_NT_T(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) T_MMUL_NT_T_##LHS_DATA_TYPE##_##RHS_DATA_TYPE##_##DST_DATA_TYPE(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) |
| 1369 | #define T_MMUL_NT_T_float_float_float(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) T_MMUL_NT_T_FLOAT(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) |
Giorgio Arena | 945ae9e | 2021-10-13 11:13:04 +0100 | [diff] [blame] | 1370 | #define T_MMUL_NT_T_half_half_float(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) T_MMUL_NT_T_FLOAT(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) |
Gian Marco Iodice | 8155c02 | 2021-04-16 15:08:59 +0100 | [diff] [blame] | 1371 | #define T_MMUL_NT_T_half_half_half(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) T_MMUL_NT_T_FLOAT(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) |
| 1372 | #define T_MMUL_NT_T_char_char_int(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) T_MMUL_NT_T_INTEGER8(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) |
| 1373 | #define T_MMUL_NT_T_uchar_uchar_uint(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) T_MMUL_NT_T_INTEGER8(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) |
| 1374 | #define T_MMUL_NT_T_uchar_uchar_int(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) T_MMUL_NT_T_INTEGER8(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) |
| 1375 | #define T_MMUL_NT_T_FLOAT(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) \ |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 1376 | { \ |
Giorgio Arena | bdd16d1 | 2021-05-13 16:58:51 +0100 | [diff] [blame] | 1377 | LOOP_UNROLLING(int, _m, 0, 1, M0, \ |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 1378 | { \ |
Giorgio Arena | bdd16d1 | 2021-05-13 16:58:51 +0100 | [diff] [blame] | 1379 | LOOP_UNROLLING(int, _n, 0, 1, N0, \ |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 1380 | { \ |
Giorgio Arena | bdd16d1 | 2021-05-13 16:58:51 +0100 | [diff] [blame] | 1381 | LOOP_UNROLLING(int, _k, 0, 1, K0, \ |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 1382 | { \ |
Giorgio Arena | 945ae9e | 2021-10-13 11:13:04 +0100 | [diff] [blame] | 1383 | dst[_m].s[_n] = fma((DST_DATA_TYPE)(lhs[_m].s[_k]), (DST_DATA_TYPE)(rhs[_n].s[_k]), dst[_m].s[_n]); \ |
Giorgio Arena | bdd16d1 | 2021-05-13 16:58:51 +0100 | [diff] [blame] | 1384 | }) \ |
| 1385 | }) \ |
| 1386 | }) \ |
Gian Marco Iodice | 5c9eed8 | 2021-03-19 11:26:20 +0000 | [diff] [blame] | 1387 | } |
Gian Marco Iodice | 8155c02 | 2021-04-16 15:08:59 +0100 | [diff] [blame] | 1388 | |
Ramy Elgammal | 2b6ebfe | 2023-03-09 21:15:37 +0000 | [diff] [blame] | 1389 | #define T_MMUL_NT_NT(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) T_MMUL_NT_NT_##LHS_DATA_TYPE##_##RHS_DATA_TYPE##_##DST_DATA_TYPE(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) |
| 1390 | #define T_MMUL_NT_NT_float_float_float(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) T_MMUL_NT_NT_FLOAT(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) |
| 1391 | #define T_MMUL_NT_NT_half_half_float(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) T_MMUL_NT_NT_FLOAT(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) |
| 1392 | #define T_MMUL_NT_NT_half_half_half(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) T_MMUL_NT_NT_FLOAT(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) |
| 1393 | #define T_MMUL_NT_NT_FLOAT(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) \ |
| 1394 | { \ |
| 1395 | LOOP_UNROLLING(int, _m, 0, 1, M0, \ |
| 1396 | { \ |
| 1397 | LOOP_UNROLLING(int, _k, 0, 1, K0, \ |
| 1398 | { \ |
| 1399 | dst[_m].v = fma((DST_DATA_TYPE)(lhs[_m].s[_k]), (rhs[_k].v), dst[_m].v); \ |
| 1400 | }) \ |
| 1401 | }) \ |
| 1402 | } |
| 1403 | |
Gunes Bayir | 8918b23 | 2023-03-17 13:52:21 +0000 | [diff] [blame] | 1404 | #define T_MMUL_T_NT(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) T_MMUL_T_NT_##LHS_DATA_TYPE##_##RHS_DATA_TYPE##_##DST_DATA_TYPE(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) |
| 1405 | #define T_MMUL_T_NT_float_float_float(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) T_MMUL_T_NT_FLOAT(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) |
| 1406 | #define T_MMUL_T_NT_half_half_float(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) T_MMUL_T_NT_FLOAT(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) |
| 1407 | #define T_MMUL_T_NT_half_half_half(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) T_MMUL_T_NT_FLOAT(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) |
| 1408 | #define T_MMUL_T_NT_FLOAT(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) \ |
| 1409 | { \ |
| 1410 | LOOP_UNROLLING(int, _m, 0, 1, M0, \ |
| 1411 | { \ |
| 1412 | LOOP_UNROLLING(int, _n, 0, 1, N0, \ |
| 1413 | { \ |
| 1414 | LOOP_UNROLLING(int, _k, 0, 1, K0, \ |
| 1415 | { \ |
| 1416 | dst[_m].s[_n] = fma((DST_DATA_TYPE)(lhs[_k].s[_m]), (DST_DATA_TYPE)(rhs[_k].s[_n]), dst[_m].s[_n]); \ |
| 1417 | }) \ |
| 1418 | }) \ |
| 1419 | }) \ |
| 1420 | } |
| 1421 | |
| 1422 | #define T_MMUL_T_T(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) T_MMUL_T_T_##LHS_DATA_TYPE##_##RHS_DATA_TYPE##_##DST_DATA_TYPE(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) |
| 1423 | #define T_MMUL_T_T_float_float_float(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) T_MMUL_T_T_FLOAT(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) |
| 1424 | #define T_MMUL_T_T_half_half_float(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) T_MMUL_T_T_FLOAT(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) |
| 1425 | #define T_MMUL_T_T_half_half_half(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) T_MMUL_T_T_FLOAT(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) |
| 1426 | #define T_MMUL_T_T_FLOAT(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) \ |
| 1427 | { \ |
| 1428 | LOOP_UNROLLING(int, _m, 0, 1, M0, \ |
| 1429 | { \ |
| 1430 | LOOP_UNROLLING(int, _n, 0, 1, N0, \ |
| 1431 | { \ |
| 1432 | LOOP_UNROLLING(int, _k, 0, 1, K0, \ |
| 1433 | { \ |
| 1434 | dst[_m].s[_n] = fma((DST_DATA_TYPE)(lhs[_k].s[_m]), (DST_DATA_TYPE)(rhs[_n].s[_k]), dst[_m].s[_n]); \ |
| 1435 | }) \ |
| 1436 | }) \ |
| 1437 | }) \ |
| 1438 | } |
| 1439 | |
Gian Marco Iodice | 8155c02 | 2021-04-16 15:08:59 +0100 | [diff] [blame] | 1440 | #define T_MMUL_NT_T_INTEGER8(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) \ |
| 1441 | ({ \ |
| 1442 | LOOP_UNROLLING(int, _m, 0, 1, M0, \ |
| 1443 | { \ |
| 1444 | LOOP_UNROLLING(int, _n, 0, 1, N0, \ |
| 1445 | { \ |
| 1446 | DOT_PRODUCT_INTEGER8(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, K0, (lhs[_m].v), (rhs[_n].v), dst[_m].s[_n]); \ |
| 1447 | }) \ |
| 1448 | }) \ |
Gian Marco Iodice | 561c176 | 2021-04-16 15:08:59 +0100 | [diff] [blame] | 1449 | }) |
SiCong Li | ca364df | 2022-04-13 15:48:19 +0100 | [diff] [blame] | 1450 | |
Ramy Elgammal | 2b6ebfe | 2023-03-09 21:15:37 +0000 | [diff] [blame] | 1451 | #endif /* ACL_SRC_CORE_CL_CL_KERNELS_TILE_HELPERS */ |