Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1 | /* |
Michele Di Giorgio | d9eaf61 | 2020-07-08 11:12:57 +0100 | [diff] [blame] | 2 | * Copyright (c) 2017-2020 Arm Limited. |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +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 | */ |
Gian Marco Iodice | 43a129e | 2019-05-14 10:14:08 +0100 | [diff] [blame] | 24 | #include "gemm_helpers.h" |
Georgios Pinitas | 45bcc3a | 2017-11-29 11:06:49 +0000 | [diff] [blame] | 25 | #include "helpers_asymm.h" |
Gian Marco Iodice | db63b9c | 2019-01-17 09:47:04 +0000 | [diff] [blame] | 26 | #include "repeat.h" |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 27 | |
Michele Di Giorgio | f9179d3 | 2019-11-27 16:17:30 +0000 | [diff] [blame] | 28 | #if defined(DATA_TYPE) && defined(ACC_DATA_TYPE) |
| 29 | |
Georgios Pinitas | daa3855 | 2018-08-28 17:43:18 +0100 | [diff] [blame] | 30 | #if defined(ARM_COMPUTE_OPENCL_DOT8_ENABLED) && defined(cl_arm_integer_dot_product_int8) |
| 31 | #if defined(ARM_COMPUTE_OPENCL_DOT8_ACC_ENABLED) && defined(cl_arm_integer_dot_product_accumulate_int8) |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 32 | #define ARM_DOT(x, y, val) val = arm_dot_acc((x), (y), (val)); |
Georgios Pinitas | daa3855 | 2018-08-28 17:43:18 +0100 | [diff] [blame] | 33 | #else // defined(ARM_COMPUTE_OPENCL_DOT8_ACC_ENABLED) && defined(cl_arm_integer_dot_product_accumulate_int8) |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 34 | #define ARM_DOT(x, y, val) val += arm_dot((x), (y)); |
Georgios Pinitas | daa3855 | 2018-08-28 17:43:18 +0100 | [diff] [blame] | 35 | #endif // defined(ARM_COMPUTE_OPENCL_DOT8_ACC_ENABLED) && defined(cl_arm_integer_dot_product_accumulate_int8) |
| 36 | #endif // defined(ARM_COMPUTE_OPENCL_DOT8_ENABLED) && defined(cl_arm_integer_dot_product_int8) |
Giorgio Arena | c50da38 | 2018-07-26 15:50:09 +0100 | [diff] [blame] | 37 | |
Gian Marco Iodice | 43a129e | 2019-05-14 10:14:08 +0100 | [diff] [blame] | 38 | #if defined(ARM_COMPUTE_OPENCL_DOT8_ENABLED) && defined(cl_arm_integer_dot_product_int8) |
| 39 | |
| 40 | /** Specialized macros to perform the dot product instruction between two vectors of size N [1,16]. These macros use the dot8 instruction */ |
Michele Di Giorgio | f9179d3 | 2019-11-27 16:17:30 +0000 | [diff] [blame] | 41 | #define ARM_DOT1(a, b, c) \ |
| 42 | ({ \ |
| 43 | ARM_DOT((VEC_DATA_TYPE(DATA_TYPE, 4))(a, (VEC_DATA_TYPE(DATA_TYPE, 3))0), (VEC_DATA_TYPE(DATA_TYPE, 4))(b, (VEC_DATA_TYPE(DATA_TYPE, 3))0), c); \ |
Gian Marco Iodice | 43a129e | 2019-05-14 10:14:08 +0100 | [diff] [blame] | 44 | }) |
Michele Di Giorgio | f9179d3 | 2019-11-27 16:17:30 +0000 | [diff] [blame] | 45 | #define ARM_DOT2(a, b, c) \ |
| 46 | ({ \ |
| 47 | ARM_DOT((VEC_DATA_TYPE(DATA_TYPE, 4))(a, (VEC_DATA_TYPE(DATA_TYPE, 2))0), (VEC_DATA_TYPE(DATA_TYPE, 4))(b, (VEC_DATA_TYPE(DATA_TYPE, 2))0), c); \ |
Gian Marco Iodice | 43a129e | 2019-05-14 10:14:08 +0100 | [diff] [blame] | 48 | }) |
Michele Di Giorgio | f9179d3 | 2019-11-27 16:17:30 +0000 | [diff] [blame] | 49 | #define ARM_DOT3(a, b, c) \ |
| 50 | ({ \ |
| 51 | ARM_DOT((VEC_DATA_TYPE(DATA_TYPE, 4))(a, (DATA_TYPE)0), (VEC_DATA_TYPE(DATA_TYPE, 4))(b, (DATA_TYPE)0), c); \ |
Gian Marco Iodice | 43a129e | 2019-05-14 10:14:08 +0100 | [diff] [blame] | 52 | }) |
| 53 | #define ARM_DOT4(a, b, c) \ |
| 54 | ({ \ |
| 55 | ARM_DOT(a, b, c); \ |
| 56 | }) |
| 57 | #define ARM_DOT8(a, b, c) \ |
| 58 | ({ \ |
| 59 | ARM_DOT4((a.lo), (b.lo), c); \ |
| 60 | ARM_DOT4((a.hi), (b.hi), c); \ |
| 61 | }) |
| 62 | #define ARM_DOT16(a, b, c) \ |
| 63 | ({ \ |
| 64 | ARM_DOT8((a.lo), (b.lo), c); \ |
| 65 | ARM_DOT8((a.hi), (b.hi), c); \ |
| 66 | }) |
| 67 | |
| 68 | #else // defined(ARM_COMPUTE_OPENCL_DOT8_ENABLED) && defined(cl_arm_integer_dot_product_int8) |
| 69 | |
| 70 | /** Specialized macros to perform the dot product instruction between two vectors of size K0 [1,16] without using the dot8 instruction. */ |
Michele Di Giorgio | f9179d3 | 2019-11-27 16:17:30 +0000 | [diff] [blame] | 71 | #define ARM_DOT1(a, b, c) \ |
| 72 | ({ \ |
| 73 | c += (ACC_DATA_TYPE)a * b; \ |
Gian Marco Iodice | 43a129e | 2019-05-14 10:14:08 +0100 | [diff] [blame] | 74 | }) |
Michele Di Giorgio | f9179d3 | 2019-11-27 16:17:30 +0000 | [diff] [blame] | 75 | #define ARM_DOT2(a, b, c) \ |
| 76 | ({ \ |
| 77 | c += (ACC_DATA_TYPE)a.s0 * b.s0; \ |
| 78 | c += (ACC_DATA_TYPE)a.s1 * b.s1; \ |
Gian Marco Iodice | 43a129e | 2019-05-14 10:14:08 +0100 | [diff] [blame] | 79 | }) |
Michele Di Giorgio | f9179d3 | 2019-11-27 16:17:30 +0000 | [diff] [blame] | 80 | #define ARM_DOT3(a, b, c) \ |
| 81 | ({ \ |
| 82 | ARM_DOT2(a, b, c); \ |
| 83 | c += (ACC_DATA_TYPE)a.s2 * b.s2; \ |
Gian Marco Iodice | 43a129e | 2019-05-14 10:14:08 +0100 | [diff] [blame] | 84 | }) |
Michele Di Giorgio | f9179d3 | 2019-11-27 16:17:30 +0000 | [diff] [blame] | 85 | #define ARM_DOT4(a, b, c) \ |
| 86 | ({ \ |
| 87 | ARM_DOT3(a, b, c); \ |
| 88 | c += (ACC_DATA_TYPE)a.s3 * b.s3; \ |
Gian Marco Iodice | 43a129e | 2019-05-14 10:14:08 +0100 | [diff] [blame] | 89 | }) |
| 90 | #define ARM_DOT8(a, b, c) \ |
| 91 | ({ \ |
| 92 | ARM_DOT4((a.lo), (b.lo), c); \ |
| 93 | ARM_DOT4((a.hi), (b.hi), c); \ |
| 94 | }) |
| 95 | #define ARM_DOT16(a, b, c) \ |
| 96 | ({ \ |
| 97 | ARM_DOT8((a.lo), (b.lo), c); \ |
| 98 | ARM_DOT8((a.hi), (b.hi), c); \ |
| 99 | }) |
| 100 | #endif // defined(ARM_COMPUTE_OPENCL_DOT8_ENABLED) && defined(cl_arm_integer_dot_product_int8) |
| 101 | |
| 102 | /** Specialized macros to perform a broadcast dot product operation between one vector "a" and N0 vectors "b" of size K0 [1,16] */ |
Gian Marco Iodice | 061eefd | 2020-04-23 13:40:00 +0100 | [diff] [blame] | 103 | #define ARM_DOT_K0X1(k0, a, b, c) \ |
| 104 | ({ \ |
| 105 | ARM_DOT_K0(k0, (a), (b##0), (c)); \ |
| 106 | }) |
Gian Marco Iodice | 43a129e | 2019-05-14 10:14:08 +0100 | [diff] [blame] | 107 | #define ARM_DOT_K0X2(k0, a, b, c) \ |
| 108 | ({ \ |
| 109 | ARM_DOT_K0(k0, (a), (b##0), (c.s0)); \ |
| 110 | ARM_DOT_K0(k0, (a), (b##1), (c.s1)); \ |
| 111 | }) |
| 112 | #define ARM_DOT_K0X3(k0, a, b, c) \ |
| 113 | ({ \ |
| 114 | ARM_DOT_K0X2(k0, a, b, c); \ |
| 115 | ARM_DOT_K0(k0, (a), (b##2), (c.s2)); \ |
| 116 | }) |
| 117 | #define ARM_DOT_K0X4(k0, a, b, c) \ |
| 118 | ({ \ |
| 119 | ARM_DOT_K0X3(k0, a, b, c); \ |
| 120 | ARM_DOT_K0(k0, (a), (b##3), (c.s3)); \ |
| 121 | }) |
| 122 | #define ARM_DOT_K0X8(k0, a, b, c) \ |
| 123 | ({ \ |
| 124 | ARM_DOT_K0X4(k0, a, b, c); \ |
| 125 | ARM_DOT_K0(k0, (a), (b##4), (c.s4)); \ |
| 126 | ARM_DOT_K0(k0, (a), (b##5), (c.s5)); \ |
| 127 | ARM_DOT_K0(k0, (a), (b##6), (c.s6)); \ |
| 128 | ARM_DOT_K0(k0, (a), (b##7), (c.s7)); \ |
| 129 | }) |
| 130 | #define ARM_DOT_K0X16(k0, a, b, c) \ |
| 131 | ({ \ |
| 132 | ARM_DOT_K0X8(k0, a, b, c); \ |
| 133 | ARM_DOT_K0(k0, (a), (b##8), (c.s8)); \ |
| 134 | ARM_DOT_K0(k0, (a), (b##9), (c.s9)); \ |
| 135 | ARM_DOT_K0(k0, (a), (b##A), (c.sA)); \ |
| 136 | ARM_DOT_K0(k0, (a), (b##B), (c.sB)); \ |
| 137 | ARM_DOT_K0(k0, (a), (b##C), (c.sC)); \ |
| 138 | ARM_DOT_K0(k0, (a), (b##D), (c.sD)); \ |
| 139 | ARM_DOT_K0(k0, (a), (b##E), (c.sE)); \ |
| 140 | ARM_DOT_K0(k0, (a), (b##F), (c.sF)); \ |
| 141 | }) |
| 142 | |
SiCong Li | 738893e | 2020-05-01 12:55:16 +0100 | [diff] [blame] | 143 | /** Specialized macros to perform a partial matrix multiplication with dimensions M0,N0,K0 */ |
Gian Marco Iodice | 43a129e | 2019-05-14 10:14:08 +0100 | [diff] [blame] | 144 | #define ARM_MM_K0XN0X1(n0, k0, a, b, c) \ |
| 145 | ({ \ |
| 146 | ARM_DOT_K0XN0(n0, k0, (a##0), b, (c##0)); \ |
| 147 | }) |
| 148 | #define ARM_MM_K0XN0X2(n0, k0, a, b, c) \ |
| 149 | ({ \ |
| 150 | ARM_MM_K0XN0X1(n0, k0, a, b, c); \ |
| 151 | ARM_DOT_K0XN0(n0, k0, (a##1), b, (c##1)); \ |
| 152 | }) |
| 153 | #define ARM_MM_K0XN0X3(n0, k0, a, b, c) \ |
| 154 | ({ \ |
| 155 | ARM_MM_K0XN0X2(n0, k0, a, b, c); \ |
| 156 | ARM_DOT_K0XN0(n0, k0, (a##2), b, (c##2)); \ |
| 157 | }) |
| 158 | #define ARM_MM_K0XN0X4(n0, k0, a, b, c) \ |
| 159 | ({ \ |
| 160 | ARM_MM_K0XN0X3(n0, k0, a, b, c); \ |
| 161 | ARM_DOT_K0XN0(n0, k0, (a##3), b, (c##3)); \ |
| 162 | }) |
| 163 | #define ARM_MM_K0XN0X5(n0, k0, a, b, c) \ |
| 164 | ({ \ |
| 165 | ARM_MM_K0XN0X4(n0, k0, a, b, c); \ |
| 166 | ARM_DOT_K0XN0(n0, k0, (a##4), b, (c##4)); \ |
| 167 | }) |
| 168 | #define ARM_MM_K0XN0X6(n0, k0, a, b, c) \ |
| 169 | ({ \ |
| 170 | ARM_MM_K0XN0X5(n0, k0, a, b, c); \ |
| 171 | ARM_DOT_K0XN0(n0, k0, (a##5), b, (c##5)); \ |
| 172 | }) |
| 173 | #define ARM_MM_K0XN0X7(n0, k0, a, b, c) \ |
| 174 | ({ \ |
| 175 | ARM_MM_K0XN0X6(n0, k0, a, b, c); \ |
| 176 | ARM_DOT_K0XN0(n0, k0, (a##6), b, (c##6)); \ |
| 177 | }) |
| 178 | #define ARM_MM_K0XN0X8(n0, k0, a, b, c) \ |
| 179 | ({ \ |
| 180 | ARM_MM_K0XN0X7(n0, k0, a, b, c); \ |
| 181 | ARM_DOT_K0XN0(n0, k0, (a##7), b, (c##7)); \ |
| 182 | }) |
| 183 | |
| 184 | #define ARM_DOT_K0(k0, a, b, c) \ |
| 185 | ({ \ |
| 186 | CONCAT(ARM_DOT, k0) \ |
| 187 | ((a), (b), (c)); \ |
| 188 | }) |
| 189 | |
| 190 | #define ARM_DOT_K0XN0(n0, k0, a, b, c) \ |
| 191 | ({ \ |
| 192 | CONCAT(ARM_DOT_K0X, n0) \ |
| 193 | (k0, (a), b, (c)); \ |
| 194 | }) |
| 195 | |
| 196 | #define ARM_MM_K0XN0XM0(m0, n0, k0, a, b, c) \ |
| 197 | ({ \ |
| 198 | CONCAT(ARM_MM_K0XN0X, m0) \ |
| 199 | (n0, k0, a, b, c); \ |
| 200 | }) |
| 201 | |
SiCong Li | 738893e | 2020-05-01 12:55:16 +0100 | [diff] [blame] | 202 | /** Specialized macros to perform a broadcast dot product operation between one vector "a" and N0 vectors "b" of size K0 [1,16] */ |
| 203 | #define ARM_MUL_N0X1(VECTOR_ACC_TYPE, a, b, c) \ |
| 204 | ({ \ |
| 205 | c += CONVERT(b##0, VECTOR_ACC_TYPE) * a; \ |
| 206 | }) |
| 207 | #define ARM_MUL_N0X2(VECTOR_ACC_TYPE, a, b, c) \ |
| 208 | ({ \ |
| 209 | c += CONVERT(b##0, VECTOR_ACC_TYPE) * a.s##0; \ |
| 210 | c += CONVERT(b##1, VECTOR_ACC_TYPE) * a.s##1; \ |
| 211 | }) |
| 212 | #define ARM_MUL_N0X3(VECTOR_ACC_TYPE, a, b, c) \ |
| 213 | ({ \ |
| 214 | ARM_MUL_N0X2(VECTOR_ACC_TYPE, a, b, c); \ |
| 215 | c += CONVERT(b##2, VECTOR_ACC_TYPE) * a.s##2; \ |
| 216 | }) |
| 217 | #define ARM_MUL_N0X4(VECTOR_ACC_TYPE, a, b, c) \ |
| 218 | ({ \ |
| 219 | ARM_MUL_N0X3(VECTOR_ACC_TYPE, a, b, c); \ |
| 220 | c += CONVERT(b##3, VECTOR_ACC_TYPE) * a.s##3; \ |
| 221 | }) |
| 222 | #define ARM_MUL_N0X8(VECTOR_ACC_TYPE, a, b, c) \ |
| 223 | ({ \ |
| 224 | ARM_MUL_N0X4(VECTOR_ACC_TYPE, a, b, c); \ |
| 225 | c += CONVERT(b##4, VECTOR_ACC_TYPE) * a.s##4; \ |
| 226 | c += CONVERT(b##5, VECTOR_ACC_TYPE) * a.s##5; \ |
| 227 | c += CONVERT(b##6, VECTOR_ACC_TYPE) * a.s##6; \ |
| 228 | c += CONVERT(b##7, VECTOR_ACC_TYPE) * a.s##7; \ |
| 229 | }) |
| 230 | #define ARM_MUL_N0X16(VECTOR_ACC_TYPE, a, b, c) \ |
| 231 | ({ \ |
| 232 | ARM_MUL_N0X8(VECTOR_ACC_TYPE, a, b, c); \ |
| 233 | c += CONVERT(b##8, VECTOR_ACC_TYPE) * a.s##8; \ |
| 234 | c += CONVERT(b##9, VECTOR_ACC_TYPE) * a.s##9; \ |
| 235 | c += CONVERT(b##A, VECTOR_ACC_TYPE) * a.s##A; \ |
| 236 | c += CONVERT(b##B, VECTOR_ACC_TYPE) * a.s##B; \ |
| 237 | c += CONVERT(b##C, VECTOR_ACC_TYPE) * a.s##C; \ |
| 238 | c += CONVERT(b##D, VECTOR_ACC_TYPE) * a.s##D; \ |
| 239 | c += CONVERT(b##E, VECTOR_ACC_TYPE) * a.s##E; \ |
| 240 | c += CONVERT(b##F, VECTOR_ACC_TYPE) * a.s##F; \ |
| 241 | }) |
| 242 | /** Specialized macros to perform a a partial matrix multiplication with dimensions M0,N0,K0 */ |
| 243 | #define ARM_MM_NATIVE_N0XK0X1(VECTOR_ACC_TYPE, k0, a, b, c) \ |
| 244 | ({ \ |
| 245 | ARM_MUL_N0XK0(VECTOR_ACC_TYPE, k0, (a##0), b, (c##0)); \ |
| 246 | }) |
| 247 | #define ARM_MM_NATIVE_N0XK0X2(VECTOR_ACC_TYPE, k0, a, b, c) \ |
| 248 | ({ \ |
| 249 | ARM_MM_NATIVE_N0XK0X1(VECTOR_ACC_TYPE, k0, a, b, c); \ |
| 250 | ARM_MUL_N0XK0(VECTOR_ACC_TYPE, k0, (a##1), b, (c##1)); \ |
| 251 | }) |
| 252 | #define ARM_MM_NATIVE_N0XK0X3(VECTOR_ACC_TYPE, k0, a, b, c) \ |
| 253 | ({ \ |
| 254 | ARM_MM_NATIVE_N0XK0X2(VECTOR_ACC_TYPE, k0, a, b, c); \ |
| 255 | ARM_MUL_N0XK0(VECTOR_ACC_TYPE, k0, (a##2), b, (c##2)); \ |
| 256 | }) |
| 257 | #define ARM_MM_NATIVE_N0XK0X4(VECTOR_ACC_TYPE, k0, a, b, c) \ |
| 258 | ({ \ |
| 259 | ARM_MM_NATIVE_N0XK0X3(VECTOR_ACC_TYPE, k0, a, b, c); \ |
| 260 | ARM_MUL_N0XK0(VECTOR_ACC_TYPE, k0, (a##3), b, (c##3)); \ |
| 261 | }) |
| 262 | #define ARM_MM_NATIVE_N0XK0X5(VECTOR_ACC_TYPE, k0, a, b, c) \ |
| 263 | ({ \ |
| 264 | ARM_MM_NATIVE_N0XK0X4(VECTOR_ACC_TYPE, k0, a, b, c); \ |
| 265 | ARM_MUL_N0XK0(VECTOR_ACC_TYPE, k0, (a##4), b, (c##4)); \ |
| 266 | }) |
| 267 | #define ARM_MM_NATIVE_N0XK0X6(VECTOR_ACC_TYPE, k0, a, b, c) \ |
| 268 | ({ \ |
| 269 | ARM_MM_NATIVE_N0XK0X5(VECTOR_ACC_TYPE, k0, a, b, c); \ |
| 270 | ARM_MUL_N0XK0(VECTOR_ACC_TYPE, k0, (a##5), b, (c##5)); \ |
| 271 | }) |
| 272 | #define ARM_MM_NATIVE_N0XK0X7(VECTOR_ACC_TYPE, k0, a, b, c) \ |
| 273 | ({ \ |
| 274 | ARM_MM_NATIVE_N0XK0X6(VECTOR_ACC_TYPE, k0, a, b, c); \ |
| 275 | ARM_MUL_N0XK0(VECTOR_ACC_TYPE, k0, (a##6), b, (c##6)); \ |
| 276 | }) |
| 277 | #define ARM_MM_NATIVE_N0XK0X8(VECTOR_ACC_TYPE, k0, a, b, c) \ |
| 278 | ({ \ |
| 279 | ARM_MM_NATIVE_N0XK0X7(VECTOR_ACC_TYPE, k0, a, b, c); \ |
| 280 | ARM_MUL_N0XK0(VECTOR_ACC_TYPE, k0, (a##7), b, (c##7)); \ |
| 281 | }) |
| 282 | #define ARM_MUL_N0XK0(VECTOR_ACC_TYPE, k0, a, b, c) \ |
| 283 | ({ \ |
| 284 | CONCAT(ARM_MUL_N0X, k0) \ |
| 285 | (VECTOR_ACC_TYPE, (a), b, (c)); \ |
| 286 | }) |
| 287 | #define ARM_MM_NATIVE_N0XK0XM0(VECTOR_ACC_TYPE, m0, k0, a, b, c) \ |
| 288 | ({ \ |
| 289 | CONCAT(ARM_MM_NATIVE_N0XK0X, m0) \ |
| 290 | (VECTOR_ACC_TYPE, k0, a, b, c); \ |
| 291 | }) |
| 292 | |
Gian Marco Iodice | b0c5037 | 2019-03-15 10:13:05 +0000 | [diff] [blame] | 293 | #if defined(M0) && defined(N0) && defined(K0) && defined(V0) && defined(H0) && defined(M) && defined(N) |
Sheri Zhang | 28287af | 2020-02-25 14:13:54 +0000 | [diff] [blame] | 294 | /** This OpenCL kernel computes the matrix multiplication between 2 matrices with QASYMM/QASYMM_SIGNED data type. |
Gian Marco Iodice | db63b9c | 2019-01-17 09:47:04 +0000 | [diff] [blame] | 295 | * The LHS matrix must be reshaped with @ref CLGEMMReshapeLHSMatrixKernel and the M0xK0 must be NOT transposed |
| 296 | * The RHS matrix must be reshaped with @ref CLGEMMReshapeRHSMatrixKernel and the K0xN0 must be transposed |
| 297 | * |
Michele Di Giorgio | f9179d3 | 2019-11-27 16:17:30 +0000 | [diff] [blame] | 298 | * @note The input data type must be passed at compile time using -DDATA_TYPE (i.e. -DDATA_TYPE=uchar) |
| 299 | * @note The accumulator data type must be passed at compile time using -DACC_DATA_TYPE (i.e. -DACC_DATA_TYPE=uint) |
Gian Marco Iodice | b0c5037 | 2019-03-15 10:13:05 +0000 | [diff] [blame] | 300 | * @note If the first two dimensions of NDRange have been dispatched with "dummy_work_items" support, the option -DDUMMY_WORK_ITEMS must be passed at compile time. |
| 301 | * @note The GEMM's dimensions M and N must be passed at compile time using -DM and -DN (i.e. -DM=52 and -DN=90). |
Gian Marco Iodice | db63b9c | 2019-01-17 09:47:04 +0000 | [diff] [blame] | 302 | * @note The block's dimensions used for reshaping the LHS matrix and the RHS matrix (M0, N0 and K0) must be passed at compile time using -DM0, -DN0 and -DK0 (i.e. -DM0=4, -DN0=8, -DK0=4). |
| 303 | * @note The number of M0xK0 vertical blocks stored on the same output row of the reshaped LHS matrix must be passed at compile time using -DV0 (i.e. -DV0=2) |
| 304 | * @note The number of K0xN0 horizontal blocks stored on the same output row of the reshaped RHS matrix must be passed at compile time using -DH0 (i.e. -DH0=2) |
| 305 | * @note If the M0xK0 blocks in the reshaped LHS matrix have been interleaved, the option -DLHS_INTERLEAVE must passed at compile time. |
| 306 | * @note If the K0xN0 blocks in the reshaped RHS matrix have been interleaved, the option -DRHS_INTERLEAVE must passed at compile time. |
| 307 | * @note Only the following configurations of M0, N0 and K0 are currently supported: |
| 308 | * - M0 = 2, 3, 4, 5, 6, 7, 8 |
| 309 | * - N0 = 2, 3, 4, 8, 16 |
| 310 | * - K0 = 2, 3, 4, 8, 16 |
Gian Marco Iodice | 62251f7 | 2019-03-11 16:07:12 +0000 | [diff] [blame] | 311 | * - V0 >= 1 |
| 312 | * - H0 >= 1 |
Gian Marco Iodice | db63b9c | 2019-01-17 09:47:04 +0000 | [diff] [blame] | 313 | * |
| 314 | * @note In case the output has to be reinterpreted as a 3D tensor (i.e. output of convolution layer), the following information must be passed at compile time: |
| 315 | * -# REINTERPRET_OUTPUT_AS_3D: To reinterpret the output as 3D |
| 316 | * -# HEIGHT_GEMM3D: The height of the output in case it has to be reinterpreted as a 3D tensor. |
| 317 | * -# DEPTH_GEMM3D: The depth of the output in case it has to be reinterpreted as a 3D tensor |
| 318 | * (HEIGHT_GEMM3D * DEPTH_GEMM3D) = columns LHS matrix NOT reshaped |
| 319 | * |
Sheri Zhang | 28287af | 2020-02-25 14:13:54 +0000 | [diff] [blame] | 320 | * @param[in] lhs_ptr Pointer to the LHS reshaped matrix. Supported data type: QASYMM8/QASYMM_SIGNED |
Gian Marco Iodice | db63b9c | 2019-01-17 09:47:04 +0000 | [diff] [blame] | 321 | * @param[in] lhs_stride_x Stride of the LHS reshaped matrix in X dimension (in bytes) |
| 322 | * @param[in] lhs_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| 323 | * @param[in] lhs_stride_y Stride of the LHS reshaped matrix in Y dimension (in bytes) |
| 324 | * @param[in] lhs_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| 325 | * @param[in] lhs_offset_first_element_in_bytes The offset of the first element in the LHS reshaped matrix |
| 326 | * @param[in] rhs_ptr Pointer to the RHS reshaped matrix. Supported data type: same as @p lhs_ptr |
| 327 | * @param[in] rhs_stride_x Stride of the RHS reshaped matrix in X dimension (in bytes) |
| 328 | * @param[in] rhs_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| 329 | * @param[in] rhs_stride_y Stride of the RHS reshaped matrix in Y dimension (in bytes) |
| 330 | * @param[in] rhs_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| 331 | * @param[in] rhs_offset_first_element_in_bytes The offset of the first element in the RHS reshaped matrix |
Sheri Zhang | 28287af | 2020-02-25 14:13:54 +0000 | [diff] [blame] | 332 | * @param[out] dst_ptr Pointer to the destination matrix Supported data type: S32 |
Gian Marco Iodice | db63b9c | 2019-01-17 09:47:04 +0000 | [diff] [blame] | 333 | * @param[in] dst_stride_x Stride of the destination matrix in X dimension (in bytes) |
| 334 | * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| 335 | * @param[in] dst_stride_y Stride of the destination matrix in Y dimension (in bytes) |
| 336 | * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| 337 | * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination matrix |
| 338 | * @param[in] k Number of columns in LHS matrix and rows in RHS matrix not reshaped. |
| 339 | * @param[in] lhs_stride_z Stride of the LHS reshaped matrix in Z dimension (in bytes) |
| 340 | * @param[in] rhs_stride_z Stride of the RHS reshaped matrix in Z dimension (in bytes) |
| 341 | * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| 342 | * @param[in] dst_cross_plane_pad (Optional) Bottom paddings in unit of elements (only if defined REINTERPRET_OUTPUT_AS_3D) |
| 343 | */ |
| 344 | __kernel void gemmlowp_mm_reshaped_lhs_nt_rhs_t(IMAGE_DECLARATION(lhs), |
| 345 | IMAGE_DECLARATION(rhs), |
| 346 | IMAGE_DECLARATION(dst), |
| 347 | uint k, |
| 348 | uint lhs_stride_z, |
| 349 | uint rhs_stride_z, |
| 350 | uint dst_stride_z |
| 351 | #if defined(REINTERPRET_OUTPUT_AS_3D) |
| 352 | , |
| 353 | uint dst_cross_plane_pad |
| 354 | #endif // REINTERPRET_OUTPUT_AS_3D |
| 355 | ) |
| 356 | { |
| 357 | // Block size |
| 358 | #define LHS_BLOCK_SIZE ((K0) * (M0)) |
| 359 | |
| 360 | #if defined(LHS_INTERLEAVE) |
| 361 | #define LHS_OFFSET_X (K0) |
| 362 | #define LHS_STEP_X ((K0) * (V0)) |
| 363 | #define LHS_STEP_LOOP (1) |
| 364 | #else // defined(INTERLEAVE) |
| 365 | #define LHS_OFFSET_X (LHS_BLOCK_SIZE) |
| 366 | #define LHS_STEP_X (K0) |
| 367 | #define LHS_STEP_LOOP (V0) |
| 368 | #endif // defined(INTERLEAVE) |
| 369 | |
| 370 | // Block size |
| 371 | #define RHS_BLOCK_SIZE ((K0) * (N0)) |
| 372 | |
| 373 | // RHS offset and step X |
| 374 | #if defined(RHS_INTERLEAVE) |
| 375 | #define RHS_OFFSET_X (K0) |
| 376 | #define RHS_STEP_X ((K0) * (H0)) |
| 377 | #define RHS_STEP_LOOP (1) |
| 378 | #else // defined(RHS_INTERLEAVE) |
| 379 | #define RHS_OFFSET_X (RHS_BLOCK_SIZE) |
| 380 | #define RHS_STEP_X (K0) |
| 381 | #define RHS_STEP_LOOP (H0) |
| 382 | #endif // defined(RHS_INTERLEAVE) |
| 383 | |
Gian Marco Iodice | 43a129e | 2019-05-14 10:14:08 +0100 | [diff] [blame] | 384 | uint x = get_global_id(0); |
| 385 | uint y = get_global_id(1); |
| 386 | uint z = get_global_id(2); |
| 387 | |
Gian Marco Iodice | b0c5037 | 2019-03-15 10:13:05 +0000 | [diff] [blame] | 388 | #if defined(DUMMY_WORK_ITEMS) |
Gian Marco Iodice | 43a129e | 2019-05-14 10:14:08 +0100 | [diff] [blame] | 389 | if((x * N0 >= N) || (y * M0 >= M)) |
Gian Marco Iodice | b0c5037 | 2019-03-15 10:13:05 +0000 | [diff] [blame] | 390 | { |
| 391 | return; |
| 392 | } |
| 393 | #endif // defined(DUMMY_WORK_ITEMS) |
| 394 | |
Gian Marco Iodice | db63b9c | 2019-01-17 09:47:04 +0000 | [diff] [blame] | 395 | // Compute LHS matrix address |
Sheri Zhang | 28287af | 2020-02-25 14:13:54 +0000 | [diff] [blame] | 396 | __global DATA_TYPE *lhs_addr = lhs_ptr + lhs_offset_first_element_in_bytes + (y % V0) * (uint)LHS_OFFSET_X + (y / V0) * (uint)lhs_stride_y + (z * lhs_stride_z); |
Gian Marco Iodice | db63b9c | 2019-01-17 09:47:04 +0000 | [diff] [blame] | 397 | |
| 398 | // Compute RHS matrix address |
Sheri Zhang | 28287af | 2020-02-25 14:13:54 +0000 | [diff] [blame] | 399 | __global DATA_TYPE *rhs_addr = rhs_ptr + rhs_offset_first_element_in_bytes + (x % H0) * (uint)RHS_OFFSET_X + (x / (uint)H0) * rhs_stride_y; |
Gian Marco Iodice | db63b9c | 2019-01-17 09:47:04 +0000 | [diff] [blame] | 400 | |
| 401 | #if defined(MATRIX_B_DEPTH) |
| 402 | // Do not slide matrix B if the matrix B has 3 dimensions and matrix A more than 3 |
Gian Marco Iodice | 43a129e | 2019-05-14 10:14:08 +0100 | [diff] [blame] | 403 | rhs_addr += (z % MATRIX_B_DEPTH) * rhs_stride_z; |
Gian Marco Iodice | db63b9c | 2019-01-17 09:47:04 +0000 | [diff] [blame] | 404 | #else // defined(MATRIX_B_DEPTH) |
Gian Marco Iodice | 43a129e | 2019-05-14 10:14:08 +0100 | [diff] [blame] | 405 | rhs_addr += z * rhs_stride_z; |
Gian Marco Iodice | db63b9c | 2019-01-17 09:47:04 +0000 | [diff] [blame] | 406 | #endif // defined(MATRIX_B_DEPTH) |
| 407 | |
Gian Marco Iodice | 43a129e | 2019-05-14 10:14:08 +0100 | [diff] [blame] | 408 | REPEAT_VAR_INIT_TO_CONST(8, uint, zlhs, 0); //uint zout0=0,zout1=0,zout2=0,... zout7=0; |
| 409 | REPEAT_VAR_INIT_TO_CONST(16, uint, zrhs, 0); |
| 410 | |
Gian Marco Iodice | db63b9c | 2019-01-17 09:47:04 +0000 | [diff] [blame] | 411 | // Initialize the accumulators |
Michele Di Giorgio | f9179d3 | 2019-11-27 16:17:30 +0000 | [diff] [blame] | 412 | REPEAT_VAR_INIT_TO_CONST(M0, VEC_DATA_TYPE(ACC_DATA_TYPE, N0), c, 0); //VEC_DATA_TYPE(ACC_DATA_TYPE, N0) c0=0,c1=0,c2=0,... c(M0-1)=0; |
Gian Marco Iodice | db63b9c | 2019-01-17 09:47:04 +0000 | [diff] [blame] | 413 | |
| 414 | for(int i = 0; i < k; i += K0) |
| 415 | { |
Gian Marco Iodice | db63b9c | 2019-01-17 09:47:04 +0000 | [diff] [blame] | 416 | // Load values from LHS matrix |
Michele Di Giorgio | f9179d3 | 2019-11-27 16:17:30 +0000 | [diff] [blame] | 417 | LOAD_BLOCK(M0, K0, DATA_TYPE, a, lhs_addr, 0, LHS_STEP_X, zlhs); |
Gian Marco Iodice | db63b9c | 2019-01-17 09:47:04 +0000 | [diff] [blame] | 418 | |
| 419 | // Load values from RHS matrix |
Michele Di Giorgio | f9179d3 | 2019-11-27 16:17:30 +0000 | [diff] [blame] | 420 | LOAD_BLOCK(N0, K0, DATA_TYPE, b, rhs_addr, 0, RHS_STEP_X, zrhs); |
Gian Marco Iodice | db63b9c | 2019-01-17 09:47:04 +0000 | [diff] [blame] | 421 | |
Gian Marco Iodice | 43a129e | 2019-05-14 10:14:08 +0100 | [diff] [blame] | 422 | // Partial matrix multiplication M0,N0,K0 |
| 423 | ARM_MM_K0XN0XM0(M0, N0, K0, a, b, c); |
Gian Marco Iodice | db63b9c | 2019-01-17 09:47:04 +0000 | [diff] [blame] | 424 | |
Gian Marco Iodice | 43a129e | 2019-05-14 10:14:08 +0100 | [diff] [blame] | 425 | // Update address |
Gian Marco Iodice | db63b9c | 2019-01-17 09:47:04 +0000 | [diff] [blame] | 426 | lhs_addr += (M0 * LHS_STEP_X * LHS_STEP_LOOP); |
| 427 | rhs_addr += (N0 * RHS_STEP_X * RHS_STEP_LOOP); |
| 428 | } |
| 429 | |
Gian Marco Iodice | 43a129e | 2019-05-14 10:14:08 +0100 | [diff] [blame] | 430 | __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + (x * (uint)N0 * sizeof(int)) + (y * (uint)M0 * dst_stride_y); |
Gian Marco Iodice | db63b9c | 2019-01-17 09:47:04 +0000 | [diff] [blame] | 431 | |
| 432 | REPEAT_VAR_INIT_TO_CONST(8, uint, zout, 0); //uint zout0=0,zout1=0,zout2=0,... zout7=0; |
| 433 | |
| 434 | #if defined(REINTERPRET_OUTPUT_AS_3D) |
Gian Marco Iodice | 43a129e | 2019-05-14 10:14:08 +0100 | [diff] [blame] | 435 | // The plane (zout) is calculated dividing M (y * M0) by HEIGHT_GEMM3D |
| 436 | CALCULATE_Z_OFFSET(M0, uint, zout, y, HEIGHT_GEMM3D, DEPTH_GEMM3D, dst_cross_plane_pad, dst_stride_y); |
Gian Marco Iodice | db63b9c | 2019-01-17 09:47:04 +0000 | [diff] [blame] | 437 | |
| 438 | // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we |
| 439 | // multiply dst_stride_z by DEPTH_GEMM3D |
Gian Marco Iodice | 43a129e | 2019-05-14 10:14:08 +0100 | [diff] [blame] | 440 | dst_addr += z * dst_stride_z * DEPTH_GEMM3D; |
Gian Marco Iodice | db63b9c | 2019-01-17 09:47:04 +0000 | [diff] [blame] | 441 | |
| 442 | #else // defined(REINTERPRET_OUTPUT_AS_3D) |
| 443 | |
| 444 | // Add offset for batched GEMM |
Gian Marco Iodice | 43a129e | 2019-05-14 10:14:08 +0100 | [diff] [blame] | 445 | dst_addr += z * dst_stride_z; |
Gian Marco Iodice | db63b9c | 2019-01-17 09:47:04 +0000 | [diff] [blame] | 446 | |
| 447 | #endif // defined(REINTERPRET_OUTPUT_AS_3D) |
| 448 | |
Gian Marco Iodice | 43a129e | 2019-05-14 10:14:08 +0100 | [diff] [blame] | 449 | // Convert and store output block |
| 450 | CONVERT_STORE_BLOCK(M0, N0, int, c, dst_addr, dst_stride_y, zout); |
Gian Marco Iodice | db63b9c | 2019-01-17 09:47:04 +0000 | [diff] [blame] | 451 | |
| 452 | #undef LHS_BLOCK_SIZE |
| 453 | #undef LHS_OFFSET_X |
| 454 | #undef LHS_STEP_X |
| 455 | #undef RHS_BLOCK_SIZE |
| 456 | #undef RHS_OFFSET_X |
| 457 | #undef RHS_STEP_X |
| 458 | } |
Gian Marco Iodice | db63b9c | 2019-01-17 09:47:04 +0000 | [diff] [blame] | 459 | #endif // defined(M0) && defined(N0) && defined(K0) && defined(V0) && defined(H0) && defined(K) |
| 460 | |
Gian Marco Iodice | 62251f7 | 2019-03-11 16:07:12 +0000 | [diff] [blame] | 461 | #if defined(M0) && defined(N0) && defined(K0) && defined(H0) && defined(K) |
| 462 | |
Gian Marco Iodice | 62251f7 | 2019-03-11 16:07:12 +0000 | [diff] [blame] | 463 | /** This OpenCL kernel computes the matrix multiplication between 2 matrices. |
| 464 | * The LHS matrix is NOT reshaped |
Gian Marco Iodice | 43a129e | 2019-05-14 10:14:08 +0100 | [diff] [blame] | 465 | * The RHS matrix is reshaped with @ref CLGEMMReshapeRHSMatrixKernel and the block K0xN0 is transposed |
Gian Marco Iodice | 62251f7 | 2019-03-11 16:07:12 +0000 | [diff] [blame] | 466 | * |
Michele Di Giorgio | f9179d3 | 2019-11-27 16:17:30 +0000 | [diff] [blame] | 467 | * @note The input data type must be passed at compile time using -DDATA_TYPE (i.e. -DDATA_TYPE=uchar) |
| 468 | * @note The accumulator data type must be passed at compile time using -DACC_DATA_TYPE (i.e. -DACC_DATA_TYPE=uint) |
Gian Marco Iodice | 62251f7 | 2019-03-11 16:07:12 +0000 | [diff] [blame] | 469 | * @note The number of columns of LHS matrix must be passed at compile time using -DK (i.e. -DK=64) |
| 470 | * @note The block's dimensions used for reshaping the RHS matrix (N0 and K0) must be passed at compile time using -DN0 and -DK0 (i.e. -DN0=8, -DK0=4). |
| 471 | * @note The number of M0 rows to process must be passed at compile time using -DM0 (i.e. -DM0=2) |
| 472 | * @note The number of K0xN0 horizontal blocks stored on the same output row of the reshaped RHS matrix must be passed at compile time using -DH0 (i.e. -DH0=2) |
| 473 | * @note If the K0xN0 blocks in the reshaped RHS matrix have been interleaved, the option -DRHS_INTERLEAVE must passed at compile time. |
| 474 | * @note Only the following configurations of M0, N0 and K0 are currently supported: |
| 475 | * - M0 = 1, 2, 3, 4, 5, 6, 7, 8 |
| 476 | * - N0 = 2, 3, 4, 8, 16 |
| 477 | * - K0 = 2, 3, 4, 8, 16 |
| 478 | * - H0 >= 1 |
| 479 | * |
| 480 | * @note In case the input or output have to be reinterpreted as a 3D tensor, the following information must be passed at compile time: |
| 481 | * -# REINTERPRET_INPUT_AS_3D: To reinterpret the input as 3D |
| 482 | * -# REINTERPRET_OUTPUT_AS_3D: To reinterpret the output as 3D |
| 483 | * -# HEIGHT_GEMM3D: The height of the output in case it has to be reinterpreted as a 3D tensor. |
| 484 | * -# DEPTH_GEMM3D: The depth of the output in case it has to be reinterpreted as a 3D tensor |
| 485 | * (HEIGHT_GEMM3D * DEPTH_GEMM3D) = columns LHS matrix |
| 486 | * |
Michele Di Giorgio | f9179d3 | 2019-11-27 16:17:30 +0000 | [diff] [blame] | 487 | * @param[in] lhs_ptr Pointer to the LHS reshaped matrix. Supported data type: QASYMM8/QASYMM8_SIGNED |
Gian Marco Iodice | 62251f7 | 2019-03-11 16:07:12 +0000 | [diff] [blame] | 488 | * @param[in] lhs_stride_x Stride of the LHS reshaped matrix in X dimension (in bytes) |
| 489 | * @param[in] lhs_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| 490 | * @param[in] lhs_stride_y Stride of the LHS reshaped matrix in Y dimension (in bytes) |
| 491 | * @param[in] lhs_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| 492 | * @param[in] lhs_offset_first_element_in_bytes The offset of the first element in the LHS reshaped matrix |
| 493 | * @param[in] rhs_ptr Pointer to the RHS reshaped matrix. Supported data type: same as @p lhs_ptr |
| 494 | * @param[in] rhs_stride_x Stride of the RHS reshaped matrix in X dimension (in bytes) |
| 495 | * @param[in] rhs_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| 496 | * @param[in] rhs_stride_y Stride of the RHS reshaped matrix in Y dimension (in bytes) |
| 497 | * @param[in] rhs_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| 498 | * @param[in] rhs_offset_first_element_in_bytes The offset of the first element in the RHS reshaped matrix |
Michele Di Giorgio | f9179d3 | 2019-11-27 16:17:30 +0000 | [diff] [blame] | 499 | * @param[out] dst_ptr Pointer to the destination matrix Supported data type: S32 |
Gian Marco Iodice | 62251f7 | 2019-03-11 16:07:12 +0000 | [diff] [blame] | 500 | * @param[in] dst_stride_x Stride of the destination matrix in X dimension (in bytes) |
| 501 | * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| 502 | * @param[in] dst_stride_y Stride of the destination matrix in Y dimension (in bytes) |
| 503 | * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| 504 | * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination matrix |
| 505 | * @param[in] lhs_stride_z Stride of the LHS reshaped matrix in Z dimension (in bytes) |
| 506 | * @param[in] rhs_stride_z Stride of the RHS reshaped matrix in Z dimension (in bytes) |
| 507 | * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| 508 | * @param[in] lhs_cross_plane_pad (Optional) Bottom paddings for LHS matrix in unit of elements (only if defined REINTERPRET_INPUT_AS_3D) |
| 509 | * @param[in] dst_cross_plane_pad (Optional) Bottom paddings for the output matrix in unit of elements (only if defined REINTERPRET_OUTPUT_AS_3D) |
| 510 | */ |
| 511 | __kernel void gemmlowp_mm_reshaped_only_rhs_t(IMAGE_DECLARATION(lhs), |
| 512 | IMAGE_DECLARATION(rhs), |
| 513 | IMAGE_DECLARATION(dst), |
| 514 | uint lhs_stride_z, |
| 515 | uint rhs_stride_z, |
| 516 | uint dst_stride_z |
| 517 | #if defined(REINTERPRET_INPUT_AS_3D) |
| 518 | , |
| 519 | uint lhs_cross_plane_pad |
| 520 | #endif // REINTERPRET_INPUT_AS_3D |
| 521 | #if defined(REINTERPRET_OUTPUT_AS_3D) |
| 522 | , |
| 523 | uint dst_cross_plane_pad |
| 524 | #endif // REINTERPRET_OUTPUT_AS_3D |
| 525 | ) |
| 526 | { |
| 527 | // Block size |
| 528 | #define RHS_BLOCK_SIZE ((K0) * (N0)) |
| 529 | |
| 530 | // RHS offset and step X |
| 531 | #if defined(RHS_INTERLEAVE) |
| 532 | #define RHS_OFFSET_X (K0) |
| 533 | #define RHS_STEP_X ((K0) * (H0)) |
| 534 | #define RHS_STEP_LOOP (1) |
| 535 | #else // defined(RHS_INTERLEAVE) |
| 536 | #define RHS_OFFSET_X (RHS_BLOCK_SIZE) |
| 537 | #define RHS_STEP_X (K0) |
| 538 | #define RHS_STEP_LOOP (H0) |
| 539 | #endif // defined(RHS_INTERLEAVE) |
| 540 | |
| 541 | uint x = get_global_id(0); |
| 542 | uint y = get_global_id(1); |
| 543 | uint z = get_global_id(2); |
| 544 | |
Gian Marco Iodice | 86cfffe | 2019-04-02 11:02:20 +0100 | [diff] [blame] | 545 | #if defined(DUMMY_WORK_ITEMS) |
| 546 | if((x * N0 >= N) || (y * M0 >= M)) |
| 547 | { |
| 548 | return; |
| 549 | } |
| 550 | #endif // defined(DUMMY_WORK_ITEMS) |
| 551 | |
Gian Marco Iodice | 62251f7 | 2019-03-11 16:07:12 +0000 | [diff] [blame] | 552 | // Compute LHS matrix address |
| 553 | uint lhs_offset = lhs_offset_first_element_in_bytes + y * M0 * (uint)lhs_stride_y; |
| 554 | |
| 555 | // Compute RHS matrix address |
| 556 | uint rhs_offset = rhs_offset_first_element_in_bytes + (x % H0) * (uint)RHS_OFFSET_X + (x / (uint)H0) * rhs_stride_y; |
| 557 | |
| 558 | #if defined(MATRIX_B_DEPTH) |
| 559 | // Do not slide matrix B if the matrix B has 3 dimensions and matrix A more than 3 |
| 560 | rhs_offset += (z % MATRIX_B_DEPTH) * rhs_stride_z; |
| 561 | #else // defined(MATRIX_B_DEPTH) |
| 562 | rhs_offset += z * rhs_stride_z; |
| 563 | #endif // defined(MATRIX_B_DEPTH) |
| 564 | |
Gian Marco Iodice | 43a129e | 2019-05-14 10:14:08 +0100 | [diff] [blame] | 565 | REPEAT_VAR_INIT_TO_CONST(8, uint, zlhs, 0); //uint zout0=0,zout1=0,zout2=0,... zout7=0; |
| 566 | REPEAT_VAR_INIT_TO_CONST(16, uint, zrhs, 0); |
Gian Marco Iodice | 62251f7 | 2019-03-11 16:07:12 +0000 | [diff] [blame] | 567 | |
| 568 | #if defined(REINTERPRET_INPUT_AS_3D) |
Gian Marco Iodice | 43a129e | 2019-05-14 10:14:08 +0100 | [diff] [blame] | 569 | // The plane (zlhs) is calculated dividing M (y * M0) by HEIGHT_GEMM3D |
| 570 | CALCULATE_Z_OFFSET(M0, uint, zlhs, y, HEIGHT_GEMM3D, DEPTH_GEMM3D, lhs_cross_plane_pad, lhs_stride_y); |
Gian Marco Iodice | 62251f7 | 2019-03-11 16:07:12 +0000 | [diff] [blame] | 571 | |
| 572 | // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we |
| 573 | // multiply lhs_stride_z by DEPTH_GEMM3D |
| 574 | lhs_offset += z * lhs_stride_z * DEPTH_GEMM3D; |
| 575 | |
| 576 | #else // defined(REINTERPRET_INPUT_AS_3D) |
| 577 | |
| 578 | // Add offset for batched GEMM |
| 579 | lhs_offset += z * lhs_stride_z; |
| 580 | |
| 581 | #endif // defined(REINTERPRET_INPUT_AS_3D) |
| 582 | |
| 583 | // Initialize the accumulators |
Michele Di Giorgio | f9179d3 | 2019-11-27 16:17:30 +0000 | [diff] [blame] | 584 | REPEAT_VAR_INIT_TO_CONST(M0, VEC_DATA_TYPE(ACC_DATA_TYPE, N0), c, 0); //VEC_DATA_TYPE(ACC_DATA_TYPE, N0) c0=0,c1=0,c2=0,... c(N0-1)=0; |
Gian Marco Iodice | 62251f7 | 2019-03-11 16:07:12 +0000 | [diff] [blame] | 585 | |
| 586 | for(int i = 0; i < K; i += K0) |
| 587 | { |
Gian Marco Iodice | 62251f7 | 2019-03-11 16:07:12 +0000 | [diff] [blame] | 588 | // Load values from LHS matrix |
Michele Di Giorgio | f9179d3 | 2019-11-27 16:17:30 +0000 | [diff] [blame] | 589 | LOAD_BLOCK(M0, K0, DATA_TYPE, a, lhs_ptr, lhs_offset, lhs_stride_y, zlhs); |
Gian Marco Iodice | 62251f7 | 2019-03-11 16:07:12 +0000 | [diff] [blame] | 590 | |
| 591 | // Load values from RHS matrix |
Michele Di Giorgio | f9179d3 | 2019-11-27 16:17:30 +0000 | [diff] [blame] | 592 | LOAD_BLOCK(N0, K0, DATA_TYPE, b, rhs_ptr, rhs_offset, RHS_STEP_X, zrhs); |
Gian Marco Iodice | 62251f7 | 2019-03-11 16:07:12 +0000 | [diff] [blame] | 593 | |
Gian Marco Iodice | 43a129e | 2019-05-14 10:14:08 +0100 | [diff] [blame] | 594 | // Partial matrix multiplication M0,N0,K0 |
| 595 | ARM_MM_K0XN0XM0(M0, N0, K0, a, b, c); |
Gian Marco Iodice | 62251f7 | 2019-03-11 16:07:12 +0000 | [diff] [blame] | 596 | |
| 597 | lhs_offset += K0; |
| 598 | rhs_offset += N0 * RHS_STEP_X * RHS_STEP_LOOP; |
| 599 | } |
| 600 | |
| 601 | __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + (x * (uint)N0) * sizeof(int) + (y * (uint)M0 * dst_stride_y); |
| 602 | |
| 603 | REPEAT_VAR_INIT_TO_CONST(8, uint, zout, 0); //uint zout0=0,zout1=0,zout2=0,... zout7=0; |
| 604 | |
| 605 | #if defined(REINTERPRET_OUTPUT_AS_3D) |
Gian Marco Iodice | 62251f7 | 2019-03-11 16:07:12 +0000 | [diff] [blame] | 606 | // The plane (zout) is calculated dividing M (y * M0) by HEIGHT_GEMM3D |
Gian Marco Iodice | 43a129e | 2019-05-14 10:14:08 +0100 | [diff] [blame] | 607 | CALCULATE_Z_OFFSET(M0, uint, zout, y, HEIGHT_GEMM3D, DEPTH_GEMM3D, dst_cross_plane_pad, dst_stride_y); |
Gian Marco Iodice | 62251f7 | 2019-03-11 16:07:12 +0000 | [diff] [blame] | 608 | |
| 609 | // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we |
| 610 | // multiply dst_stride_z by DEPTH_GEMM3D |
| 611 | dst_addr += z * dst_stride_z * DEPTH_GEMM3D; |
| 612 | |
| 613 | #else // defined(REINTERPRET_OUTPUT_AS_3D) |
| 614 | |
| 615 | // Add offset for batched GEMM |
| 616 | dst_addr += z * dst_stride_z; |
| 617 | |
| 618 | #endif // defined(REINTERPRET_OUTPUT_AS_3D) |
| 619 | |
Gian Marco Iodice | 43a129e | 2019-05-14 10:14:08 +0100 | [diff] [blame] | 620 | // Convert and store output block |
| 621 | CONVERT_STORE_BLOCK(M0, N0, int, c, dst_addr, dst_stride_y, zout); |
Gian Marco Iodice | 62251f7 | 2019-03-11 16:07:12 +0000 | [diff] [blame] | 622 | |
| 623 | #undef RHS_BLOCK_SIZE |
| 624 | #undef RHS_OFFSET_X |
| 625 | #undef RHS_STEP_X |
| 626 | } |
Michele Di Giorgio | b54ba28 | 2020-01-14 15:31:55 +0000 | [diff] [blame] | 627 | |
| 628 | #if defined(RESULT_OFFSET) && defined(RESULT_SHIFT) && defined(RESULT_MULTIPLIER) |
| 629 | /** This OpenCL kernel computes the matrix multiplication between 2 matrices with fused output stage using fixed-point arithmetic. |
| 630 | * The LHS matrix is NOT reshaped |
| 631 | * The RHS matrix is reshaped with @ref CLGEMMReshapeRHSMatrixKernel and the block K0xN0 is transposed |
| 632 | * |
| 633 | * @note The input data type must be passed at compile time using -DDATA_TYPE (i.e. -DDATA_TYPE=uchar) |
| 634 | * @note The accumulator data type must be passed at compile time using -DACC_DATA_TYPE (i.e. -DACC_DATA_TYPE=uint) |
| 635 | * @note The number of columns of LHS matrix must be passed at compile time using -DK (i.e. -DK=64) |
| 636 | * @note The block's dimensions used for reshaping the RHS matrix (N0 and K0) must be passed at compile time using -DN0 and -DK0 (i.e. -DN0=8, -DK0=4). |
| 637 | * @note The number of M0 rows to process must be passed at compile time using -DM0 (i.e. -DM0=2) |
| 638 | * @note The number of K0xN0 horizontal blocks stored on the same output row of the reshaped RHS matrix must be passed at compile time using -DH0 (i.e. -DH0=2) |
| 639 | * @note If the K0xN0 blocks in the reshaped RHS matrix have been interleaved, the option -DRHS_INTERLEAVE must passed at compile time. |
| 640 | * @note Only the following configurations of M0, N0 and K0 are currently supported: |
| 641 | * - M0 = 1, 2, 3, 4, 5, 6, 7, 8 |
| 642 | * - N0 = 2, 3, 4, 8, 16 |
| 643 | * - K0 = 2, 3, 4, 8, 16 |
| 644 | * - H0 >= 1 |
| 645 | * |
| 646 | * @note In case the input or output have to be reinterpreted as a 3D tensor, the following information must be passed at compile time: |
| 647 | * -# REINTERPRET_INPUT_AS_3D: To reinterpret the input as 3D |
| 648 | * -# REINTERPRET_OUTPUT_AS_3D: To reinterpret the output as 3D |
| 649 | * -# HEIGHT_GEMM3D: The height of the output in case it has to be reinterpreted as a 3D tensor. |
| 650 | * -# DEPTH_GEMM3D: The depth of the output in case it has to be reinterpreted as a 3D tensor |
| 651 | * (HEIGHT_GEMM3D * DEPTH_GEMM3D) = columns LHS matrix |
| 652 | * |
| 653 | * @note The offset, scalar scale factor and number of bits to shift right of output tensor must be passed at compile time using -DRESULT_OFFSET, -RESULT_MULTIPLIER and -DRESULT_SHIFT |
| 654 | * @note In case the addition of int32 biases is required, -DADD_BIAS should be passed at compile time |
| 655 | * @note The output datatype should be passed at compile time using -DOUTPUT_DATA_TYPE |
| 656 | * @note In case the clamping of the result is required, the min and max bounds can be passed at compile time using -DMIN_BOUND and -DMAX_BOUND. |
| 657 | * These values can be used to implement "rectified linear unit" activation functions |
| 658 | * @note In case of per-channel quantization of matrix B, -DPER_CHANNEL_QUANTIZATION must be passed at compile time. |
| 659 | * |
| 660 | * @param[in] lhs_ptr Pointer to the LHS reshaped matrix. Supported data type: QASYMM8/QASYMM8_SIGNED |
| 661 | * @param[in] lhs_stride_x Stride of the LHS reshaped matrix in X dimension (in bytes) |
| 662 | * @param[in] lhs_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| 663 | * @param[in] lhs_stride_y Stride of the LHS reshaped matrix in Y dimension (in bytes) |
| 664 | * @param[in] lhs_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| 665 | * @param[in] lhs_offset_first_element_in_bytes The offset of the first element in the LHS reshaped matrix |
| 666 | * @param[in] rhs_ptr Pointer to the RHS reshaped matrix. Supported data type: same as @p lhs_ptr |
| 667 | * @param[in] rhs_stride_x Stride of the RHS reshaped matrix in X dimension (in bytes) |
| 668 | * @param[in] rhs_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| 669 | * @param[in] rhs_stride_y Stride of the RHS reshaped matrix in Y dimension (in bytes) |
| 670 | * @param[in] rhs_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| 671 | * @param[in] rhs_offset_first_element_in_bytes The offset of the first element in the RHS reshaped matrix |
| 672 | * @param[out] dst_ptr Pointer to the destination matrix Supported data type: same as @p lhs_ptr |
| 673 | * @param[in] dst_stride_x Stride of the destination matrix in X dimension (in bytes) |
| 674 | * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| 675 | * @param[in] dst_stride_y Stride of the destination matrix in Y dimension (in bytes) |
| 676 | * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| 677 | * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination matrix |
| 678 | * @param[in] lhs_stride_z Stride of the LHS reshaped matrix in Z dimension (in bytes) |
| 679 | * @param[in] rhs_stride_z Stride of the RHS reshaped matrix in Z dimension (in bytes) |
| 680 | * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| 681 | * @param[in] lhs_cross_plane_pad (Optional) Bottom paddings for LHS matrix in unit of elements (only if defined REINTERPRET_INPUT_AS_3D) |
| 682 | * @param[in] dst_cross_plane_pad (Optional) Bottom paddings for the output matrix in unit of elements (only if defined REINTERPRET_OUTPUT_AS_3D) |
| 683 | * @param[in] sum_col_ptr (Optional) Pointer to the source tensor. Supported data type: S32 |
| 684 | * @param[in] sum_col_stride_x (Optional) Stride of the source tensor in X dimension (in bytes) |
| 685 | * @param[in] sum_col_step_x (Optional) sum_col_stride_x * number of elements along X processed per workitem(in bytes) |
| 686 | * @param[in] sum_col_stride_y (Optional) Stride of the source tensor in Y dimension (in bytes) |
| 687 | * @param[in] sum_col_step_y (Optional) sum_col_stride_y * number of elements along Y processed per workitem(in bytes) |
| 688 | * @param[in] sum_col_offset_first_element_in_bytes (Optional) The offset of the first element in the source tensor |
| 689 | * @param[in] sum_row_ptr (Optional) Pointer to the source tensor. Supported data type: S32 |
| 690 | * @param[in] sum_row_stride_x (Optional) Stride of the source tensor in X dimension (in bytes) |
| 691 | * @param[in] sum_row_step_x (Optional) sum_row_stride_x * number of elements along X processed per workitem(in bytes) |
| 692 | * @param[in] sum_row_stride_y (Optional) Stride of the source tensor in Y dimension (in bytes) |
| 693 | * @param[in] sum_row_step_y (Optional) sum_row_stride_y * number of elements along Y processed per workitem(in bytes) |
| 694 | * @param[in] sum_row_offset_first_element_in_bytes (Optional) The offset of the first element in the source tensor |
| 695 | * @param[in] biases_ptr (Optional) Pointer to the biases tensor. Supported data type: S32 |
| 696 | * @param[in] biases_stride_x (Optional) Stride of the biases tensor in X dimension (in bytes) |
| 697 | * @param[in] biases_step_x (Optional) biases_stride_x * number of elements along X processed per workitem(in bytes) |
| 698 | * @param[in] biases_offset_first_element_in_bytes (Optional) The offset of the first element in the biases tensor |
| 699 | * @param[in] result_multipliers_ptr (Optional) Pointer to the output multipliers vector for per-channel quantization. Supported data types: S32 |
| 700 | * @param[in] result_multipliers_stride_x (Optional) Stride of the output multipliers vector in X dimension (in bytes) |
| 701 | * @param[in] result_multipliers_step_x (Optional) output_multipliers_stride_x * number of elements along X processed per workitem(in bytes) |
| 702 | * @param[in] result_multipliers_offset_first_element_in_bytes (Optional) The offset of the first element in the output multipliers vector |
| 703 | * @param[in] result_shifts_ptr (Optional) Pointer to the output shifts vector for per-channel quantization. Supported data types: S32 |
| 704 | * @param[in] result_shifts_stride_x (Optional) Stride of the output shifts vector in X dimension (in bytes) |
| 705 | * @param[in] result_shifts_step_x (Optional) output_shifts_stride_x * number of elements along X processed per workitem(in bytes) |
| 706 | * @param[in] result_shifts_offset_first_element_in_bytes (Optional) The offset of the first element in the output shifts vector |
| 707 | */ |
| 708 | __kernel void gemmlowp_mm_reshaped_only_rhs_t_fused_output_stage_fixedpoint(IMAGE_DECLARATION(lhs), |
| 709 | IMAGE_DECLARATION(rhs), |
| 710 | IMAGE_DECLARATION(dst), |
| 711 | uint lhs_stride_z, |
| 712 | uint rhs_stride_z, |
| 713 | uint dst_stride_z |
| 714 | #if defined(REINTERPRET_INPUT_AS_3D) |
| 715 | , |
| 716 | uint lhs_cross_plane_pad |
| 717 | #endif // REINTERPRET_INPUT_AS_3D |
| 718 | #if defined(REINTERPRET_OUTPUT_AS_3D) |
| 719 | , |
| 720 | uint dst_cross_plane_pad |
| 721 | #endif // REINTERPRET_OUTPUT_AS_3D |
| 722 | #if defined(A_OFFSET) |
| 723 | , |
| 724 | IMAGE_DECLARATION(sum_col) |
| 725 | #endif // defined(A_OFFSET) |
| 726 | #if defined(B_OFFSET) |
| 727 | , |
| 728 | IMAGE_DECLARATION(sum_row) |
| 729 | #endif // defined(B_OFFSET) |
| 730 | #if defined(ADD_BIAS) |
| 731 | , |
| 732 | VECTOR_DECLARATION(biases) |
| 733 | #endif // defined(ADD_BIAS) |
| 734 | #if defined(PER_CHANNEL_QUANTIZATION) |
| 735 | , |
| 736 | VECTOR_DECLARATION(result_multipliers), |
| 737 | VECTOR_DECLARATION(result_shifts) |
| 738 | #endif // defined(PER_CHANNEL_QUANTIZATION) |
| 739 | ) |
| 740 | { |
| 741 | // Block size |
| 742 | #define RHS_BLOCK_SIZE ((K0) * (N0)) |
| 743 | |
| 744 | // RHS offset and step X |
| 745 | #if defined(RHS_INTERLEAVE) |
| 746 | #define RHS_OFFSET_X (K0) |
| 747 | #define RHS_STEP_X ((K0) * (H0)) |
| 748 | #define RHS_STEP_LOOP (1) |
| 749 | #else // defined(RHS_INTERLEAVE) |
| 750 | #define RHS_OFFSET_X (RHS_BLOCK_SIZE) |
| 751 | #define RHS_STEP_X (K0) |
| 752 | #define RHS_STEP_LOOP (H0) |
| 753 | #endif // defined(RHS_INTERLEAVE) |
| 754 | |
| 755 | uint x = get_global_id(0); |
| 756 | uint y = get_global_id(1); |
| 757 | uint z = get_global_id(2); |
| 758 | |
| 759 | #if defined(DUMMY_WORK_ITEMS) |
| 760 | if((x * N0 >= N) || (y * M0 >= M)) |
| 761 | { |
| 762 | return; |
| 763 | } |
| 764 | #endif // defined(DUMMY_WORK_ITEMS) |
| 765 | |
| 766 | // Compute LHS matrix address |
| 767 | uint lhs_offset = lhs_offset_first_element_in_bytes + y * M0 * (uint)lhs_stride_y; |
| 768 | |
| 769 | // Compute RHS matrix address |
| 770 | uint rhs_offset = rhs_offset_first_element_in_bytes + (x % H0) * (uint)RHS_OFFSET_X + (x / (uint)H0) * rhs_stride_y; |
| 771 | |
| 772 | #if defined(MATRIX_B_DEPTH) |
| 773 | // Do not slide matrix B if the matrix B has 3 dimensions and matrix A more than 3 |
| 774 | rhs_offset += (z % MATRIX_B_DEPTH) * rhs_stride_z; |
| 775 | #else // defined(MATRIX_B_DEPTH) |
| 776 | rhs_offset += z * rhs_stride_z; |
| 777 | #endif // defined(MATRIX_B_DEPTH) |
| 778 | |
| 779 | REPEAT_VAR_INIT_TO_CONST(8, uint, zlhs, 0); //uint zout0=0,zout1=0,zout2=0,... zout7=0; |
| 780 | REPEAT_VAR_INIT_TO_CONST(16, uint, zrhs, 0); |
| 781 | |
| 782 | #if defined(REINTERPRET_INPUT_AS_3D) |
| 783 | // The plane (zlhs) is calculated dividing M (y * M0) by HEIGHT_GEMM3D |
| 784 | CALCULATE_Z_OFFSET(M0, uint, zlhs, y, HEIGHT_GEMM3D, DEPTH_GEMM3D, lhs_cross_plane_pad, lhs_stride_y); |
| 785 | |
| 786 | // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we |
| 787 | // multiply lhs_stride_z by DEPTH_GEMM3D |
| 788 | lhs_offset += z * lhs_stride_z * DEPTH_GEMM3D; |
| 789 | |
| 790 | #else // defined(REINTERPRET_INPUT_AS_3D) |
| 791 | |
| 792 | // Add offset for batched GEMM |
| 793 | lhs_offset += z * lhs_stride_z; |
| 794 | |
| 795 | #endif // defined(REINTERPRET_INPUT_AS_3D) |
| 796 | |
| 797 | // Initialize the accumulators |
| 798 | REPEAT_VAR_INIT_TO_CONST(M0, VEC_DATA_TYPE(ACC_DATA_TYPE, N0), c, 0); //VEC_DATA_TYPE(ACC_DATA_TYPE, N0) c0=0,c1=0,c2=0,... c(N0-1)=0; |
| 799 | |
| 800 | for(int i = 0; i < K; i += K0) |
| 801 | { |
| 802 | // Load values from LHS matrix |
| 803 | LOAD_BLOCK(M0, K0, DATA_TYPE, a, lhs_ptr, lhs_offset, lhs_stride_y, zlhs); |
| 804 | |
| 805 | // Load values from RHS matrix |
| 806 | LOAD_BLOCK(N0, K0, DATA_TYPE, b, rhs_ptr, rhs_offset, RHS_STEP_X, zrhs); |
| 807 | |
| 808 | // Partial matrix multiplication M0,N0,K0 |
| 809 | ARM_MM_K0XN0XM0(M0, N0, K0, a, b, c); |
| 810 | |
| 811 | lhs_offset += K0; |
| 812 | rhs_offset += N0 * RHS_STEP_X * RHS_STEP_LOOP; |
| 813 | } |
| 814 | |
| 815 | // Result of MM is of type DATA_TYPE |
| 816 | __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + (x * (uint)N0) * sizeof(DATA_TYPE) + (y * (uint)M0 * dst_stride_y); |
| 817 | |
| 818 | REPEAT_VAR_INIT_TO_CONST(8, uint, zout, 0); //uint zout0=0,zout1=0,zout2=0,... zout7=0; |
| 819 | |
| 820 | #if defined(REINTERPRET_OUTPUT_AS_3D) |
| 821 | // The plane (zout) is calculated dividing M (y * M0) by HEIGHT_GEMM3D |
| 822 | CALCULATE_Z_OFFSET(M0, uint, zout, y, HEIGHT_GEMM3D, DEPTH_GEMM3D, dst_cross_plane_pad, dst_stride_y); |
| 823 | |
| 824 | // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we |
| 825 | // multiply dst_stride_z by DEPTH_GEMM3D |
| 826 | dst_addr += z * dst_stride_z * DEPTH_GEMM3D; |
| 827 | |
| 828 | #else // defined(REINTERPRET_OUTPUT_AS_3D) |
| 829 | |
| 830 | // Add offset for batched GEMM |
| 831 | dst_addr += z * dst_stride_z; |
| 832 | |
| 833 | #endif // defined(REINTERPRET_OUTPUT_AS_3D) |
| 834 | |
| 835 | // Convert result of matrix multiplication to S32 |
| 836 | REPEAT_VAR_INIT_CONVERT_SAT(M0, VEC_DATA_TYPE(int, N0), c, c_int); |
| 837 | |
Michele Di Giorgio | b54ba28 | 2020-01-14 15:31:55 +0000 | [diff] [blame] | 838 | // Offset contribution: c += (A_OFFSET * sum_col) + (B_OFFSET * sum_row) + K_OFFSET; |
| 839 | REPEAT_VAR_INIT_TO_CONST(M0, VEC_DATA_TYPE(int, N0), offset_s32_, K_OFFSET); |
| 840 | |
| 841 | #if defined(A_OFFSET) |
| 842 | // Compute the offset contribution due to A_OFFSET |
| 843 | __global uchar *sum_col_addr = sum_col_ptr + sum_col_offset_first_element_in_bytes + (x * (uint)N0) * sizeof(int); |
| 844 | |
| 845 | #if defined(SUM_COL_HAS_BATCHES) |
| 846 | sum_col_addr += z * sum_col_stride_y; |
| 847 | #endif // defined(SUM_COL_HAS_BATCHES) |
| 848 | VEC_DATA_TYPE(int, N0) |
| 849 | a_offset_s32 = VLOAD(N0)(0, (__global int *)sum_col_addr); |
| 850 | a_offset_s32 *= (VEC_DATA_TYPE(int, N0))A_OFFSET; |
| 851 | |
| 852 | REPEAT_ADD_VECTOR_TO_VAR(M0, offset_s32_, a_offset_s32); |
| 853 | #endif // defined(A_OFFSET) |
| 854 | |
| 855 | #if defined(B_OFFSET) |
| 856 | // Compute the offset contribution due to B_OFFSET |
Gian Marco Iodice | 27423f0 | 2020-08-12 14:12:28 +0100 | [diff] [blame] | 857 | // Note: The sum_row tensor is generated through CLGEMMLowpMatrixAReductionKernel which |
| 858 | // does not introduce paddings. For this reason is safe to access the tensor in this manner |
| 859 | // without considering that the coordinate "y" could come from an input 3D tensor |
Michele Di Giorgio | b54ba28 | 2020-01-14 15:31:55 +0000 | [diff] [blame] | 860 | __global uchar *sum_row_addr = sum_row_ptr + sum_row_offset_first_element_in_bytes + (y * (uint)M0) * sizeof(int) + z * sum_row_stride_y; |
| 861 | |
Michele Di Giorgio | b54ba28 | 2020-01-14 15:31:55 +0000 | [diff] [blame] | 862 | LOAD_SCALAR_AS_VECTOR(M0, N0, int, b_offset_s32_, sum_row_addr, 0, sum_row_stride_x); |
| 863 | |
| 864 | REPEAT_MLA_VAR_WITH_CONST_VEC(M0, offset_s32_, b_offset_s32_, (VEC_DATA_TYPE(int, N0))B_OFFSET); |
| 865 | #endif // defined(B_OFFSET) |
| 866 | |
| 867 | #if defined(ADD_BIAS) |
| 868 | // Add bias |
| 869 | __global uchar *bias_addr = biases_ptr + biases_offset_first_element_in_bytes + (x * (uint)N0) * sizeof(int); |
| 870 | |
| 871 | VEC_DATA_TYPE(int, N0) |
| 872 | bias_values = VLOAD(N0)(0, (__global int *)bias_addr); |
| 873 | REPEAT_ADD_VECTOR_TO_VAR(M0, offset_s32_, bias_values); |
| 874 | #endif // defined(ADD_BIAS) |
| 875 | |
| 876 | REPEAT_ADD_TWO_VARS(M0, c_int, offset_s32_); |
| 877 | |
| 878 | // Multiply by result_mult_int and shift |
| 879 | #if defined(PER_CHANNEL_QUANTIZATION) |
| 880 | __global uchar *result_multipliers_addr = result_multipliers_ptr + result_multipliers_offset_first_element_in_bytes + (x * (uint)N0) * sizeof(int); |
| 881 | __global uchar *result_shifts_addr = result_shifts_ptr + result_shifts_offset_first_element_in_bytes + (x * (uint)N0) * sizeof(int); |
| 882 | |
| 883 | VEC_DATA_TYPE(int, N0) |
| 884 | res_mul = VLOAD(N0)(0, (__global int *)result_multipliers_addr); |
| 885 | VEC_DATA_TYPE(int, N0) |
| 886 | res_shift = VLOAD(N0)(0, (__global int *)result_shifts_addr); |
| 887 | |
| 888 | REPEAT_ASYMM_MULT_BY_QUANT_MULTIPLIER_PER_CHANNEL(M0, N0, c_int, res_mul, res_shift); |
| 889 | #else // defined(PER_CHANNEL_QUANTIZATION) |
| 890 | |
| 891 | #if RESULT_SHIFT < 0 |
| 892 | REPEAT_ASYMM_MULT_BY_QUANT_MULTIPLIER_GREATER_THAN_ONE(M0, N0, c_int, RESULT_MULTIPLIER, RESULT_SHIFT); |
| 893 | #else // RESULT_SHIFT >= 0 |
| 894 | REPEAT_ASYMM_MULT_BY_QUANT_MULTIPLIER_LESS_THAN_ONE(M0, N0, c_int, RESULT_MULTIPLIER, RESULT_SHIFT); |
| 895 | #endif // RESULT_SHIFT < 0 |
| 896 | |
| 897 | #endif // defined(PER_CHANNEL_QUANTIZATION) |
| 898 | |
| 899 | // Add the offset terms to GEMM's result |
| 900 | REPEAT_ADD_CONST_TO_VAR(M0, VEC_DATA_TYPE(int, N0), c_int, RESULT_OFFSET); |
| 901 | |
| 902 | #if defined(MIN_BOUND) |
| 903 | REPEAT_MAX_CONST_VAR(M0, VEC_DATA_TYPE(int, N0), c_int, MIN_BOUND); |
| 904 | #endif // defined(MIN_BOUND) |
| 905 | #if defined(MAX_BOUND) |
| 906 | REPEAT_MIN_CONST_VAR(M0, VEC_DATA_TYPE(int, N0), c_int, MAX_BOUND); |
| 907 | #endif // defined(MAX_BOUND) |
| 908 | |
| 909 | // Convert and store output block (does convert saturate) |
| 910 | CONVERT_STORE_BLOCK(M0, N0, DATA_TYPE, c_int, dst_addr, dst_stride_y, zout); |
| 911 | |
| 912 | #undef RHS_BLOCK_SIZE |
| 913 | #undef RHS_OFFSET_X |
| 914 | #undef RHS_STEP_X |
| 915 | } |
| 916 | #endif // defined(RESULT_OFFSET) && defined(RESULT_SHIFT) && defined(RESULT_MULTIPLIER) |
Gian Marco Iodice | 62251f7 | 2019-03-11 16:07:12 +0000 | [diff] [blame] | 917 | #endif // defined(M0) && defined(N0) && defined(K0) && defined(H0) && defined(DATA_TYPE) && defined(K) |
| 918 | |
Gian Marco Iodice | e751062 | 2019-06-03 17:28:17 +0100 | [diff] [blame] | 919 | #if defined(M0) && defined(N0) && defined(K0) && defined(K) |
| 920 | |
| 921 | /** This OpenCL kernel computes the matrix multiplication between 2 matrices. |
| 922 | * The LHS matrix is NOT reshaped |
| 923 | * The RHS matrix is NOT reshaped |
| 924 | * |
Michele Di Giorgio | f9179d3 | 2019-11-27 16:17:30 +0000 | [diff] [blame] | 925 | * @note The input data type must be passed at compile time using -DDATA_TYPE (i.e. -DDATA_TYPE=uchar) |
| 926 | * @note The accumulator data type must be passed at compile time using -DACC_DATA_TYPE (i.e. -DACC_DATA_TYPE=uint) |
Gian Marco Iodice | e751062 | 2019-06-03 17:28:17 +0100 | [diff] [blame] | 927 | * @note The number of columns of LHS matrix must be passed at compile time using -DK (i.e. -DK=64) |
| 928 | * @note The number of M0 rows to process must be passed at compile time using -DM0 (i.e. -DM0=2) |
| 929 | * @note The number of N0 columns to process must be passed at compile time using -DN0 (i.e. -DN0=2) |
| 930 | * @note The number of K0 partial accumulations must be passed at compile time using -DK0 (i.e., -DK0=2) |
| 931 | * @note Only the following configurations of M0, N0 and K0 are currently supported: |
| 932 | * - M0 = 1, 2, 3, 4, 5, 6, 7, 8 |
| 933 | * - N0 = 2, 3, 4, 8, 16 |
| 934 | * - K0 = 2, 3, 4, 8, 16 |
| 935 | * |
| 936 | * @note In case the input or output have to be reinterpreted as a 3D tensor, the following information must be passed at compile time: |
| 937 | * -# REINTERPRET_INPUT_AS_3D: To reinterpret the input as 3D |
| 938 | * -# REINTERPRET_OUTPUT_AS_3D: To reinterpret the output as 3D |
| 939 | * -# HEIGHT_GEMM3D: The height of the output in case it has to be reinterpreted as a 3D tensor. |
| 940 | * -# DEPTH_GEMM3D: The depth of the output in case it has to be reinterpreted as a 3D tensor |
| 941 | * (HEIGHT_GEMM3D * DEPTH_GEMM3D) = columns LHS matrix |
| 942 | * |
Michele Di Giorgio | b54ba28 | 2020-01-14 15:31:55 +0000 | [diff] [blame] | 943 | * @param[in] lhs_ptr Pointer to the LHS reshaped matrix. Supported data type: QASYMM8 |
Gian Marco Iodice | e751062 | 2019-06-03 17:28:17 +0100 | [diff] [blame] | 944 | * @param[in] lhs_stride_x Stride of the LHS reshaped matrix in X dimension (in bytes) |
| 945 | * @param[in] lhs_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| 946 | * @param[in] lhs_stride_y Stride of the LHS reshaped matrix in Y dimension (in bytes) |
| 947 | * @param[in] lhs_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| 948 | * @param[in] lhs_offset_first_element_in_bytes The offset of the first element in the LHS reshaped matrix |
| 949 | * @param[in] rhs_ptr Pointer to the RHS reshaped matrix. Supported data type: same as @p lhs_ptr |
| 950 | * @param[in] rhs_stride_x Stride of the RHS reshaped matrix in X dimension (in bytes) |
| 951 | * @param[in] rhs_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| 952 | * @param[in] rhs_stride_y Stride of the RHS reshaped matrix in Y dimension (in bytes) |
| 953 | * @param[in] rhs_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| 954 | * @param[in] rhs_offset_first_element_in_bytes The offset of the first element in the RHS reshaped matrix |
Michele Di Giorgio | b54ba28 | 2020-01-14 15:31:55 +0000 | [diff] [blame] | 955 | * @param[out] dst_ptr Pointer to the destination matrix Supported data type: S32 |
Gian Marco Iodice | e751062 | 2019-06-03 17:28:17 +0100 | [diff] [blame] | 956 | * @param[in] dst_stride_x Stride of the destination matrix in X dimension (in bytes) |
| 957 | * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| 958 | * @param[in] dst_stride_y Stride of the destination matrix in Y dimension (in bytes) |
| 959 | * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| 960 | * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination matrix |
| 961 | * @param[in] lhs_stride_z Stride of the LHS reshaped matrix in Z dimension (in bytes) |
| 962 | * @param[in] rhs_stride_z Stride of the RHS reshaped matrix in Z dimension (in bytes) |
| 963 | * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| 964 | * @param[in] lhs_cross_plane_pad (Optional) Bottom paddings for LHS matrix in unit of elements (only if defined REINTERPRET_INPUT_AS_3D) |
| 965 | * @param[in] dst_cross_plane_pad (Optional) Bottom paddings for the output matrix in unit of elements (only if defined REINTERPRET_OUTPUT_AS_3D) |
| 966 | */ |
| 967 | __kernel void gemmlowp_mm_native(IMAGE_DECLARATION(lhs), |
| 968 | IMAGE_DECLARATION(rhs), |
| 969 | IMAGE_DECLARATION(dst), |
| 970 | uint lhs_stride_z, |
| 971 | uint rhs_stride_z, |
| 972 | uint dst_stride_z |
| 973 | #if defined(REINTERPRET_INPUT_AS_3D) |
| 974 | , |
| 975 | uint lhs_cross_plane_pad |
| 976 | #endif // REINTERPRET_INPUT_AS_3D |
| 977 | #if defined(REINTERPRET_OUTPUT_AS_3D) |
| 978 | , |
| 979 | uint dst_cross_plane_pad |
| 980 | #endif // REINTERPRET_OUTPUT_AS_3D |
| 981 | ) |
| 982 | { |
| 983 | uint x = get_global_id(0); |
| 984 | uint y = get_global_id(1); |
| 985 | uint z = get_global_id(2); |
| 986 | |
| 987 | #if defined(DUMMY_WORK_ITEMS) |
| 988 | if((x * N0 >= N) || (y * M0 >= M)) |
| 989 | { |
| 990 | return; |
| 991 | } |
| 992 | #endif // defined(DUMMY_WORK_ITEMS) |
| 993 | |
| 994 | // Compute LHS matrix address |
| 995 | uint lhs_offset = lhs_offset_first_element_in_bytes + y * M0 * (uint)lhs_stride_y; |
| 996 | |
| 997 | // Compute RHS matrix address |
| 998 | uint rhs_offset = rhs_offset_first_element_in_bytes + x * N0; |
| 999 | |
| 1000 | #if defined(MATRIX_B_DEPTH) |
| 1001 | // Do not slide matrix B if the matrix B has 3 dimensions and matrix A more than 3 |
| 1002 | rhs_offset += (z % MATRIX_B_DEPTH) * rhs_stride_z; |
| 1003 | #else // defined(MATRIX_B_DEPTH) |
| 1004 | rhs_offset += z * rhs_stride_z; |
| 1005 | #endif // defined(MATRIX_B_DEPTH) |
| 1006 | |
| 1007 | REPEAT_VAR_INIT_TO_CONST(8, uint, zlhs, 0); |
| 1008 | REPEAT_VAR_INIT_TO_CONST(16, uint, zrhs, 0); |
| 1009 | |
| 1010 | #if defined(REINTERPRET_INPUT_AS_3D) |
| 1011 | // The plane (zlhs) is calculated dividing M (y * M0) by HEIGHT_GEMM3D |
| 1012 | CALCULATE_Z_OFFSET(M0, uint, zlhs, y, HEIGHT_GEMM3D, DEPTH_GEMM3D, lhs_cross_plane_pad, lhs_stride_y); |
| 1013 | |
| 1014 | // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we |
| 1015 | // multiply lhs_stride_z by DEPTH_GEMM3D |
| 1016 | lhs_offset += z * lhs_stride_z * DEPTH_GEMM3D; |
| 1017 | |
| 1018 | #else // defined(REINTERPRET_INPUT_AS_3D) |
| 1019 | |
| 1020 | // Add offset for batched GEMM |
| 1021 | lhs_offset += z * lhs_stride_z; |
| 1022 | |
| 1023 | #endif // defined(REINTERPRET_INPUT_AS_3D) |
| 1024 | |
| 1025 | // Initialize the accumulators |
Michele Di Giorgio | f9179d3 | 2019-11-27 16:17:30 +0000 | [diff] [blame] | 1026 | REPEAT_VAR_INIT_TO_CONST(M0, VEC_DATA_TYPE(ACC_DATA_TYPE, N0), c, 0); //VEC_DATA_TYPE(ACC_DATA_TYPE, N0) c0=0,c1=0,c2=0,... c(M0-1)=0; |
Gian Marco Iodice | e751062 | 2019-06-03 17:28:17 +0100 | [diff] [blame] | 1027 | |
| 1028 | int i = 0; |
| 1029 | |
| 1030 | for(; i <= (K - K0); i += K0) |
| 1031 | { |
| 1032 | // Load values from LHS matrix |
Michele Di Giorgio | f9179d3 | 2019-11-27 16:17:30 +0000 | [diff] [blame] | 1033 | LOAD_BLOCK(M0, K0, DATA_TYPE, a, lhs_ptr, lhs_offset, lhs_stride_y, zlhs); |
Gian Marco Iodice | e751062 | 2019-06-03 17:28:17 +0100 | [diff] [blame] | 1034 | |
| 1035 | // Load values from RHS matrix |
Michele Di Giorgio | f9179d3 | 2019-11-27 16:17:30 +0000 | [diff] [blame] | 1036 | LOAD_BLOCK(K0, N0, DATA_TYPE, b, rhs_ptr, rhs_offset, rhs_stride_y, zrhs); |
Gian Marco Iodice | e751062 | 2019-06-03 17:28:17 +0100 | [diff] [blame] | 1037 | |
SiCong Li | 738893e | 2020-05-01 12:55:16 +0100 | [diff] [blame] | 1038 | // Partial matrix multiplication M0,N0,K0 |
| 1039 | #if(GPU_ARCH == GPU_ARCH_MIDGARD) |
| 1040 | ARM_MM_NATIVE_N0XK0XM0(VEC_DATA_TYPE(ACC_DATA_TYPE, N0), M0, K0, a, b, c); |
| 1041 | #else // GPU_ARCH == GPU_ARCH_MIDGARD |
Gian Marco Iodice | e751062 | 2019-06-03 17:28:17 +0100 | [diff] [blame] | 1042 | // Transpose the values from RHS matrix |
Michele Di Giorgio | f9179d3 | 2019-11-27 16:17:30 +0000 | [diff] [blame] | 1043 | TRANSPOSE_K0XN0(K0, N0, b_t, b, DATA_TYPE); |
Gian Marco Iodice | e751062 | 2019-06-03 17:28:17 +0100 | [diff] [blame] | 1044 | |
Gian Marco Iodice | e751062 | 2019-06-03 17:28:17 +0100 | [diff] [blame] | 1045 | ARM_MM_K0XN0XM0(M0, N0, K0, a, b_t, c); |
SiCong Li | 738893e | 2020-05-01 12:55:16 +0100 | [diff] [blame] | 1046 | #endif // GPU_ARCH == GPU_ARCH_MIDGARD |
Gian Marco Iodice | e751062 | 2019-06-03 17:28:17 +0100 | [diff] [blame] | 1047 | |
| 1048 | // Update the offset |
| 1049 | lhs_offset += K0; |
| 1050 | rhs_offset += K0 * rhs_stride_y; |
| 1051 | } |
| 1052 | |
| 1053 | // Left-over for loop |
| 1054 | for(; i < K; ++i) |
| 1055 | { |
| 1056 | // Load values from LHS matrix |
Michele Di Giorgio | f9179d3 | 2019-11-27 16:17:30 +0000 | [diff] [blame] | 1057 | LOAD_BLOCK(M0, 1, DATA_TYPE, a, lhs_ptr, lhs_offset, lhs_stride_y, zlhs); |
Gian Marco Iodice | e751062 | 2019-06-03 17:28:17 +0100 | [diff] [blame] | 1058 | |
| 1059 | // Load values from RHS matrix |
Michele Di Giorgio | f9179d3 | 2019-11-27 16:17:30 +0000 | [diff] [blame] | 1060 | LOAD_BLOCK(1, N0, DATA_TYPE, b, rhs_ptr, rhs_offset, rhs_stride_y, zrhs); |
Gian Marco Iodice | e751062 | 2019-06-03 17:28:17 +0100 | [diff] [blame] | 1061 | |
SiCong Li | 738893e | 2020-05-01 12:55:16 +0100 | [diff] [blame] | 1062 | // Partial matrix multiplication M0,N0,1 |
| 1063 | #if(GPU_ARCH == GPU_ARCH_MIDGARD) |
| 1064 | ARM_MM_NATIVE_N0XK0XM0(VEC_DATA_TYPE(ACC_DATA_TYPE, N0), M0, 1, a, b, c); |
| 1065 | #else // GPU_ARCH == GPU_ARCH_MIDGARD |
Gian Marco Iodice | e751062 | 2019-06-03 17:28:17 +0100 | [diff] [blame] | 1066 | // Transpose the values from RHS matrix |
Michele Di Giorgio | f9179d3 | 2019-11-27 16:17:30 +0000 | [diff] [blame] | 1067 | TRANSPOSE_K0XN0(1, N0, b_t, b, DATA_TYPE); |
Gian Marco Iodice | e751062 | 2019-06-03 17:28:17 +0100 | [diff] [blame] | 1068 | |
Gian Marco Iodice | e751062 | 2019-06-03 17:28:17 +0100 | [diff] [blame] | 1069 | ARM_MM_K0XN0XM0(M0, N0, 1, a, b_t, c); |
SiCong Li | 738893e | 2020-05-01 12:55:16 +0100 | [diff] [blame] | 1070 | #endif // GPU_ARCH == GPU_ARCH_MIDGARD |
Gian Marco Iodice | e751062 | 2019-06-03 17:28:17 +0100 | [diff] [blame] | 1071 | |
| 1072 | // Update the offset |
| 1073 | lhs_offset += 1; |
| 1074 | rhs_offset += rhs_stride_y; |
| 1075 | } |
| 1076 | |
| 1077 | __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + (x * (uint)N0) * sizeof(int) + (y * (uint)M0 * dst_stride_y); |
| 1078 | |
| 1079 | REPEAT_VAR_INIT_TO_CONST(M0, uint, zout, 0); //uint zout0=0,zout1=0,zout2=0,... zout7=0; |
| 1080 | |
| 1081 | #if defined(REINTERPRET_OUTPUT_AS_3D) |
| 1082 | // The plane (zout) is calculated dividing M (y * M0) by HEIGHT_GEMM3D |
| 1083 | CALCULATE_Z_OFFSET(M0, uint, zout, y, HEIGHT_GEMM3D, DEPTH_GEMM3D, dst_cross_plane_pad, dst_stride_y); |
| 1084 | |
| 1085 | // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we |
| 1086 | // multiply dst_stride_z by DEPTH_GEMM3D |
| 1087 | dst_addr += z * dst_stride_z * DEPTH_GEMM3D; |
| 1088 | |
| 1089 | #else // defined(REINTERPRET_OUTPUT_AS_3D) |
| 1090 | |
| 1091 | // Add offset for batched GEMM |
| 1092 | dst_addr += z * dst_stride_z; |
| 1093 | |
| 1094 | #endif // defined(REINTERPRET_OUTPUT_AS_3D) |
| 1095 | |
| 1096 | // Convert and store output block |
| 1097 | CONVERT_STORE_BLOCK(M0, N0, int, c, dst_addr, dst_stride_y, zout); |
| 1098 | } |
| 1099 | #endif // defined(M0) && defined(N0) && defined(K0) && defined(K) |
| 1100 | |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1101 | #if defined(COLS_A) |
| 1102 | /** OpenCL kernel used to compute the row-vectors of sums of all the entries in each row of Matrix A. |
Michele Di Giorgio | f64d336 | 2020-04-03 12:40:10 +0100 | [diff] [blame] | 1103 | * It is also possible to multiply each reduced row by a scalar value, if SCALAR is passed at compile time. |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1104 | * |
| 1105 | * @note This stage is needed to handle the offset of matrix product |
| 1106 | * https://github.com/google/gemmlowp/blob/master/doc/low-precision.md |
| 1107 | * |
| 1108 | * @attention The number of matrix A columns needs to be passed at compile time using -DCOLS_A |
Manuel Bottini | 959c26d | 2019-12-02 16:22:35 +0000 | [diff] [blame] | 1109 | * @note The input data type must be passed at compile time using -DDATA_TYPE (i.e. -DDATA_TYPE=uchar) |
Michele Di Giorgio | e7b333e | 2020-01-15 10:30:51 +0000 | [diff] [blame] | 1110 | * @note The data type for the accumulation must be passed at compile time using -DACC_DATA_TYPE (i.e. -DACC_DATA_TYPE=uint) |
Michele Di Giorgio | f64d336 | 2020-04-03 12:40:10 +0100 | [diff] [blame] | 1111 | * @note In case of scaling the scalar value must be passed at compile time using -DSCALAR (e.g. -DSCALAR=3) |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1112 | * |
Michele Di Giorgio | f6f7876 | 2020-07-06 11:27:21 +0100 | [diff] [blame] | 1113 | * @param[in] src_ptr Pointer to the source tensor. Supported data type: QASYMM8/QASYMM8_SIGNED/QSYMM8 |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1114 | * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| 1115 | * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| 1116 | * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| 1117 | * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| 1118 | * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 1119 | * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| 1120 | * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| 1121 | * @param[out] dst_ptr Pointer to the destination tensor Supported data type: S32 |
| 1122 | * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 1123 | * @param[in] dst_step_x dst_gx_stride_x * number of elements along X processed per workitem(in bytes) |
| 1124 | * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 1125 | * @param[in] dst_step_y dst_gx_stride_y * number of elements along Y processed per workitem(in bytes) |
| 1126 | * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| 1127 | */ |
| 1128 | __kernel void gemmlowp_matrix_a_reduction(TENSOR3D_DECLARATION(src), |
| 1129 | IMAGE_DECLARATION(dst)) |
| 1130 | { |
| 1131 | // Compute source and destination addresses |
| 1132 | Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); |
| 1133 | Image dst = CONVERT_TO_IMAGE_STRUCT(dst); |
| 1134 | |
Michele Di Giorgio | e7b333e | 2020-01-15 10:30:51 +0000 | [diff] [blame] | 1135 | VEC_DATA_TYPE(ACC_DATA_TYPE, 4) |
| 1136 | sum_row_32 = (VEC_DATA_TYPE(ACC_DATA_TYPE, 4))0; |
| 1137 | ACC_DATA_TYPE sum_row = 0; |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1138 | |
Manuel Bottini | 959c26d | 2019-12-02 16:22:35 +0000 | [diff] [blame] | 1139 | __global const DATA_TYPE *matrix_a = (__global const DATA_TYPE *)(src.ptr + get_global_id(0) * src_stride_y + get_global_id(1) * src_stride_z); |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1140 | |
| 1141 | int i = 0; |
| 1142 | |
| 1143 | // This for loop performs 16 accumulations |
| 1144 | for(; i <= ((int)COLS_A - 16); i += 16) |
| 1145 | { |
Manuel Bottini | 959c26d | 2019-12-02 16:22:35 +0000 | [diff] [blame] | 1146 | const VEC_DATA_TYPE(DATA_TYPE, 16) a0 = vload16(0, matrix_a + i); |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1147 | |
Michele Di Giorgio | e7b333e | 2020-01-15 10:30:51 +0000 | [diff] [blame] | 1148 | sum_row_32 += CONVERT(a0.s0123, VEC_DATA_TYPE(ACC_DATA_TYPE, 4)) + CONVERT(a0.s4567, VEC_DATA_TYPE(ACC_DATA_TYPE, 4)) + CONVERT(a0.s89AB, VEC_DATA_TYPE(ACC_DATA_TYPE, 4)) + CONVERT(a0.sCDEF, |
| 1149 | VEC_DATA_TYPE(ACC_DATA_TYPE, 4)); |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1150 | } |
| 1151 | |
| 1152 | // This for loop performs the leftover accumulations |
| 1153 | for(; i < COLS_A; ++i) |
| 1154 | { |
Michele Di Giorgio | e7b333e | 2020-01-15 10:30:51 +0000 | [diff] [blame] | 1155 | sum_row += (ACC_DATA_TYPE)matrix_a[i]; |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1156 | } |
| 1157 | |
Manuel Bottini | 959c26d | 2019-12-02 16:22:35 +0000 | [diff] [blame] | 1158 | sum_row += sum_row_32.s0 + sum_row_32.s1 + sum_row_32.s2 + sum_row_32.s3; |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1159 | |
Michele Di Giorgio | f64d336 | 2020-04-03 12:40:10 +0100 | [diff] [blame] | 1160 | #if defined(SCALAR) |
| 1161 | sum_row *= (int)SCALAR; |
| 1162 | #endif // defined(SCALAR) |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1163 | *((__global int *)dst.ptr) = (int)sum_row; |
| 1164 | } |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1165 | |
| 1166 | #if defined(ARM_COMPUTE_OPENCL_DOT8_ENABLED) && defined(cl_arm_integer_dot_product_int8) |
Michele Di Giorgio | f64d336 | 2020-04-03 12:40:10 +0100 | [diff] [blame] | 1167 | /** OpenCL kernel used to compute the row-vectors of sums of all the entries in each row of Matrix A using the arm dot product instruction. |
| 1168 | * It is also possible to multiply each reduced row by a scalar value, if SCALAR is passed at compile time. |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1169 | * |
| 1170 | * @note This stage is needed to handle the offset of matrix product |
| 1171 | * https://github.com/google/gemmlowp/blob/master/doc/low-precision.md |
| 1172 | * |
| 1173 | * @attention The number of matrix A columns needs to be passed at compile time using -DCOLS_A |
Manuel Bottini | 959c26d | 2019-12-02 16:22:35 +0000 | [diff] [blame] | 1174 | * @note The input data type must be passed at compile time using -DDATA_TYPE (i.e. -DDATA_TYPE=uchar) |
Michele Di Giorgio | e7b333e | 2020-01-15 10:30:51 +0000 | [diff] [blame] | 1175 | * @note The data type for the accumulation must be passed at compile time using -DACC_DATA_TYPE (i.e. -DACC_DATA_TYPE=uint) |
Michele Di Giorgio | f64d336 | 2020-04-03 12:40:10 +0100 | [diff] [blame] | 1176 | * @note In case of scaling the scalar value must be passed at compile time using -DSCALAR (e.g. -DSCALAR=3) |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1177 | * |
Michele Di Giorgio | f6f7876 | 2020-07-06 11:27:21 +0100 | [diff] [blame] | 1178 | * @param[in] src_ptr Pointer to the source tensor. Supported data type: QASYMM8/QASYMM8_SIGNED/QSYMM8 |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1179 | * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| 1180 | * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| 1181 | * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| 1182 | * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| 1183 | * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 1184 | * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| 1185 | * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| 1186 | * @param[out] dst_ptr Pointer to the destination tensor Supported data type: S32 |
| 1187 | * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 1188 | * @param[in] dst_step_x dst_gx_stride_x * number of elements along X processed per workitem(in bytes) |
| 1189 | * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 1190 | * @param[in] dst_step_y dst_gx_stride_y * number of elements along Y processed per workitem(in bytes) |
| 1191 | * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| 1192 | */ |
| 1193 | __kernel void gemmlowp_matrix_a_reduction_dot8(TENSOR3D_DECLARATION(src), |
| 1194 | IMAGE_DECLARATION(dst)) |
| 1195 | { |
| 1196 | // Compute source and destination addresses |
| 1197 | Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); |
| 1198 | Image dst = CONVERT_TO_IMAGE_STRUCT(dst); |
| 1199 | |
Michele Di Giorgio | e7b333e | 2020-01-15 10:30:51 +0000 | [diff] [blame] | 1200 | ACC_DATA_TYPE sum_row = 0; |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1201 | |
Manuel Bottini | 959c26d | 2019-12-02 16:22:35 +0000 | [diff] [blame] | 1202 | __global const DATA_TYPE *matrix_a = (__global const DATA_TYPE *)(src.ptr + get_global_id(0) * src_stride_y + get_global_id(1) * src_stride_z); |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1203 | |
| 1204 | int i = 0; |
| 1205 | |
| 1206 | // This for loop performs 16 accumulations |
| 1207 | for(; i <= ((int)COLS_A - 32); i += 32) |
| 1208 | { |
Manuel Bottini | 959c26d | 2019-12-02 16:22:35 +0000 | [diff] [blame] | 1209 | VEC_DATA_TYPE(DATA_TYPE, 16) |
| 1210 | a0 = vload16(0, matrix_a + i); |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1211 | |
Manuel Bottini | 959c26d | 2019-12-02 16:22:35 +0000 | [diff] [blame] | 1212 | sum_row += arm_dot(a0.s0123, (VEC_DATA_TYPE(DATA_TYPE, 4))(1)); |
| 1213 | sum_row += arm_dot(a0.s4567, (VEC_DATA_TYPE(DATA_TYPE, 4))(1)); |
| 1214 | sum_row += arm_dot(a0.s89AB, (VEC_DATA_TYPE(DATA_TYPE, 4))(1)); |
| 1215 | sum_row += arm_dot(a0.sCDEF, (VEC_DATA_TYPE(DATA_TYPE, 4))(1)); |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1216 | |
Manuel Bottini | 959c26d | 2019-12-02 16:22:35 +0000 | [diff] [blame] | 1217 | a0 = vload16(1, matrix_a + i); |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1218 | |
Manuel Bottini | 959c26d | 2019-12-02 16:22:35 +0000 | [diff] [blame] | 1219 | sum_row += arm_dot(a0.s0123, (VEC_DATA_TYPE(DATA_TYPE, 4))(1)); |
| 1220 | sum_row += arm_dot(a0.s4567, (VEC_DATA_TYPE(DATA_TYPE, 4))(1)); |
| 1221 | sum_row += arm_dot(a0.s89AB, (VEC_DATA_TYPE(DATA_TYPE, 4))(1)); |
| 1222 | sum_row += arm_dot(a0.sCDEF, (VEC_DATA_TYPE(DATA_TYPE, 4))(1)); |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1223 | } |
| 1224 | |
| 1225 | // This for loop performs the leftover accumulations |
| 1226 | for(; i < COLS_A; ++i) |
| 1227 | { |
Michele Di Giorgio | e7b333e | 2020-01-15 10:30:51 +0000 | [diff] [blame] | 1228 | sum_row += (ACC_DATA_TYPE)matrix_a[i]; |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1229 | } |
| 1230 | |
Michele Di Giorgio | f64d336 | 2020-04-03 12:40:10 +0100 | [diff] [blame] | 1231 | #if defined(SCALAR) |
| 1232 | sum_row *= (int)SCALAR; |
| 1233 | #endif // defined(SCALAR) |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1234 | *((__global int *)dst.ptr) = (int)sum_row; |
| 1235 | } |
| 1236 | #endif // defined(ARM_COMPUTE_OPENCL_DOT8_ENABLED) && defined(cl_arm_integer_dot_product_int8) |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1237 | #endif // defined(COLS_A) |
| 1238 | |
| 1239 | #if defined(COLS_B) && defined(ROWS_B) |
| 1240 | /** OpenCL kernel used to compute the row-vectors of sums of all the entries in each column of Matrix B. |
Michele Di Giorgio | f64d336 | 2020-04-03 12:40:10 +0100 | [diff] [blame] | 1241 | * It is also possible to multiply each reduced column by a scalar value, if SCALAR is passed at compile time. |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1242 | * |
| 1243 | * @note This stage is needed to handle the offset of matrix product |
| 1244 | * https://github.com/google/gemmlowp/blob/master/doc/low-precision.md |
| 1245 | * |
| 1246 | * @attention The number of matrix B columns and rows needs to be passed at compile time using -DCOLS_B and -DROWS_B |
Manuel Bottini | 959c26d | 2019-12-02 16:22:35 +0000 | [diff] [blame] | 1247 | * @note The input data type must be passed at compile time using -DDATA_TYPE (i.e. -DDATA_TYPE=uchar) |
Michele Di Giorgio | e7b333e | 2020-01-15 10:30:51 +0000 | [diff] [blame] | 1248 | * @note The data type for the accumulation must be passed at compile time using -DACC_DATA_TYPE (i.e. -DACC_DATA_TYPE=uint) |
Michele Di Giorgio | f64d336 | 2020-04-03 12:40:10 +0100 | [diff] [blame] | 1249 | * @note In case of scaling the scalar value must be passed at compile time using -DSCALAR (i.e. -DSCALAR=3) |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1250 | * |
Michele Di Giorgio | f6f7876 | 2020-07-06 11:27:21 +0100 | [diff] [blame] | 1251 | * @param[in] src_ptr Pointer to the source tensor. Supported data type: QASYMM8/QASYMM8_SIGNED/QSYMM8/QSYMM8_PER_CHANNEL |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1252 | * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| 1253 | * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| 1254 | * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| 1255 | * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| 1256 | * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 1257 | * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| 1258 | * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| 1259 | * @param[out] dst_ptr Pointer to the destination tensor Supported data type: S32 |
| 1260 | * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 1261 | * @param[in] dst_step_x dst_gx_stride_x * number of elements along X processed per workitem(in bytes) |
| 1262 | * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 1263 | * @param[in] dst_step_y dst_gx_stride_y * number of elements along Y processed per workitem(in bytes) |
| 1264 | * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| 1265 | */ |
| 1266 | __kernel void gemmlowp_matrix_b_reduction(TENSOR3D_DECLARATION(src), |
| 1267 | IMAGE_DECLARATION(dst)) |
| 1268 | { |
| 1269 | // Compute source and destination addresses |
| 1270 | Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); |
| 1271 | Image dst = CONVERT_TO_IMAGE_STRUCT(dst); |
| 1272 | |
Michele Di Giorgio | e7b333e | 2020-01-15 10:30:51 +0000 | [diff] [blame] | 1273 | VEC_DATA_TYPE(ACC_DATA_TYPE, 16) |
| 1274 | sum_col_32 = (VEC_DATA_TYPE(ACC_DATA_TYPE, 16))0; |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1275 | |
Manuel Bottini | 959c26d | 2019-12-02 16:22:35 +0000 | [diff] [blame] | 1276 | __global const DATA_TYPE *matrix_b = (__global const DATA_TYPE *)(src.ptr + get_global_id(1) * src_stride_z); |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1277 | |
| 1278 | int i = 0; |
| 1279 | // This for loop performs 4 accumulations |
| 1280 | for(; i <= ((int)ROWS_B - 4); i += 4) |
| 1281 | { |
Manuel Bottini | 959c26d | 2019-12-02 16:22:35 +0000 | [diff] [blame] | 1282 | const VEC_DATA_TYPE(DATA_TYPE, 16) |
| 1283 | b0 = vload16(0, matrix_b + 0 * src_stride_y); |
| 1284 | const VEC_DATA_TYPE(DATA_TYPE, 16) |
| 1285 | b1 = vload16(0, matrix_b + 1 * src_stride_y); |
| 1286 | const VEC_DATA_TYPE(DATA_TYPE, 16) |
| 1287 | b2 = vload16(0, matrix_b + 2 * src_stride_y); |
| 1288 | const VEC_DATA_TYPE(DATA_TYPE, 16) |
| 1289 | b3 = vload16(0, matrix_b + 3 * src_stride_y); |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1290 | |
Michele Di Giorgio | e7b333e | 2020-01-15 10:30:51 +0000 | [diff] [blame] | 1291 | sum_col_32 += CONVERT(b0, VEC_DATA_TYPE(ACC_DATA_TYPE, 16)) + CONVERT(b1, VEC_DATA_TYPE(ACC_DATA_TYPE, 16)) + CONVERT(b2, VEC_DATA_TYPE(ACC_DATA_TYPE, 16)) + CONVERT(b3, VEC_DATA_TYPE(ACC_DATA_TYPE, |
Manuel Bottini | 959c26d | 2019-12-02 16:22:35 +0000 | [diff] [blame] | 1292 | 16)); |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1293 | |
| 1294 | matrix_b += 4 * src_stride_y; |
| 1295 | } |
| 1296 | |
| 1297 | // This for loop perfoms the leftover accumulations |
| 1298 | for(; i < (int)ROWS_B; ++i) |
| 1299 | { |
Manuel Bottini | 959c26d | 2019-12-02 16:22:35 +0000 | [diff] [blame] | 1300 | const VEC_DATA_TYPE(DATA_TYPE, 16) |
| 1301 | b0 = vload16(0, matrix_b); |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1302 | |
Michele Di Giorgio | e7b333e | 2020-01-15 10:30:51 +0000 | [diff] [blame] | 1303 | sum_col_32 += CONVERT(b0, VEC_DATA_TYPE(ACC_DATA_TYPE, 16)); |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1304 | |
| 1305 | matrix_b += src_stride_y; |
| 1306 | } |
| 1307 | |
Michele Di Giorgio | f64d336 | 2020-04-03 12:40:10 +0100 | [diff] [blame] | 1308 | #if defined(SCALAR) |
| 1309 | sum_col_32 *= (VEC_DATA_TYPE(ACC_DATA_TYPE, 16))SCALAR; |
| 1310 | #endif // defined(SCALAR) |
| 1311 | VSTORE(16) |
Gian Marco Iodice | 19fe0a9 | 2020-04-14 14:43:03 +0100 | [diff] [blame] | 1312 | (convert_int16(sum_col_32), 0, (__global int *)dst.ptr); |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1313 | } |
| 1314 | #endif // defined(COLS_B) && defined(ROWS_B) |
| 1315 | |
Michele Di Giorgio | e7b333e | 2020-01-15 10:30:51 +0000 | [diff] [blame] | 1316 | #endif // defined(DATA_TYPE) && defined(ACC_DATA_TYPE) |
| 1317 | |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1318 | #if defined(K_OFFSET) |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1319 | |
Vidhya Sudhan Loganathan | 951b8a4 | 2019-11-04 14:42:08 +0000 | [diff] [blame] | 1320 | /* Helper function used to calculate the offset contribution after matrix multiplication. |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1321 | * |
Vidhya Sudhan Loganathan | 951b8a4 | 2019-11-04 14:42:08 +0000 | [diff] [blame] | 1322 | * This kernel takes a final int32 accumulator value (the output of matrix multiplication), |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1323 | * and calculates the offset contribution of matrix A and matrix B. |
| 1324 | * |
| 1325 | * @attention The k_offset = a_offset * b_offset * k (where k is the number of matrix A columns) needs to be passed at compile time using -DK_OFFSET (i.e. -DK_OFFSET=1200) |
| 1326 | * @note In case the offset contribution due to a_offset is required, a_offset needs to be passed at compile time using -DA_OFFSET (i.e. -DA_OFFSET=1) |
| 1327 | * @note In case the offset contribution due to b_offset is required, b_offset needs to be passed at compile time using -DB_OFFSET (i.e. -DB_OFFSET=6) |
| 1328 | * @note In case sum_col has batches, -DSUM_COL_HAS_BATCHES must be passed at compile time. Usually if gemmlowp is used to accelerate convolution layer, sum_col will not have batches |
| 1329 | * |
| 1330 | * @param[in] x get_global_id(0) * 4 |
| 1331 | * @param[in] y get_global_id(1) |
| 1332 | * @param[in] z get_global_id(2) |
| 1333 | * @param[in] sum_col_ptr (Optional) Pointer to the source tensor. Supported data type: same as @p mm_result_ptr |
| 1334 | * @param[in] sum_col_stride_x (Optional) Stride of the source tensor in X dimension (in bytes) |
| 1335 | * @param[in] sum_col_step_x (Optional) sum_col_stride_x * number of elements along X processed per workitem(in bytes) |
| 1336 | * @param[in] sum_col_stride_y (Optional) Stride of the source tensor in Y dimension (in bytes) |
| 1337 | * @param[in] sum_col_step_y (Optional) sum_col_stride_y * number of elements along Y processed per workitem(in bytes) |
| 1338 | * @param[in] sum_col_offset_first_element_in_bytes (Optional) The offset of the first element in the source tensor |
| 1339 | * @param[in] sum_row_ptr (Optional) Pointer to the source tensor. Supported data type: same as @p mm_result_ptr |
| 1340 | * @param[in] sum_row_stride_x (Optional) Stride of the source tensor in X dimension (in bytes) |
| 1341 | * @param[in] sum_row_step_x (Optional) sum_row_stride_x * number of elements along X processed per workitem(in bytes) |
| 1342 | * @param[in] sum_row_stride_y (Optional) Stride of the source tensor in Y dimension (in bytes) |
| 1343 | * @param[in] sum_row_step_y (Optional) sum_row_stride_y * number of elements along Y processed per workitem(in bytes) |
| 1344 | * @param[in] sum_row_offset_first_element_in_bytes (Optional) The offset of the first element in the source tensor |
| 1345 | * @param[in] biases_ptr (Optional) Pointer to the biases tensor. Supported data type: same as @p src_ptr |
| 1346 | * @param[in] biases_stride_x (Optional) Stride of the biases tensor in X dimension (in bytes) |
| 1347 | * @param[in] biases_step_x (Optional) biases_stride_x * number of elements along X processed per workitem(in bytes) |
| 1348 | * @param[in] biases_offset_first_element_in_bytes (Optional) The offset of the first element in the biases tensor |
| 1349 | */ |
| 1350 | inline int4 offset_contribution( |
| 1351 | int x, |
| 1352 | int y, |
| 1353 | int z |
| 1354 | #if defined(A_OFFSET) |
| 1355 | , |
| 1356 | IMAGE_DECLARATION(sum_col) |
| 1357 | #endif // defined(A_OFFSET) |
| 1358 | #if defined(B_OFFSET) |
| 1359 | , |
| 1360 | IMAGE_DECLARATION(sum_row) |
| 1361 | #endif // defined(B_OFFSET) |
| 1362 | #if defined(ADD_BIAS) |
| 1363 | , |
| 1364 | VECTOR_DECLARATION(biases) |
| 1365 | #endif // defined(ADD_BIAS) |
| 1366 | ) |
| 1367 | { |
| 1368 | int4 a_offset_s32 = (int4)0; |
| 1369 | int4 b_offset_s32 = (int4)0; |
| 1370 | |
| 1371 | int batch_id = z; |
| 1372 | #if defined(DEPTH_INPUT3D) |
| 1373 | batch_id /= (int)DEPTH_INPUT3D; |
| 1374 | #endif // defined(DEPTH_INPUT3D) |
| 1375 | |
| 1376 | #if defined(A_OFFSET) |
| 1377 | // Compute the offset contribution due to A_OFFSET |
| 1378 | __global uchar *sum_col_addr = sum_col_ptr + sum_col_offset_first_element_in_bytes + x * sizeof(int); |
| 1379 | |
| 1380 | // Compute the offset contribution due to A_OFFSET |
| 1381 | #if defined(SUM_COL_HAS_BATCHES) |
| 1382 | a_offset_s32 = vload4(0, (__global int *)(sum_col_addr + batch_id * sum_col_stride_y)); |
| 1383 | #else // defined(SUM_COL_HAS_BATCHES) |
| 1384 | a_offset_s32 = vload4(0, (__global int *)sum_col_addr); |
| 1385 | #endif // defined(SUM_COL_HAS_BATCHES) |
| 1386 | |
| 1387 | a_offset_s32 *= (int4)A_OFFSET; |
| 1388 | #endif // defined(A_OFFSET) |
| 1389 | |
| 1390 | #if defined(B_OFFSET) |
| 1391 | // Compute the offset contribution due to A_OFFSET |
| 1392 | __global uchar *sum_row_addr = sum_row_ptr + sum_row_offset_first_element_in_bytes + y * sizeof(int); |
| 1393 | |
| 1394 | // Compute the offset contribution due to B_OFFSET |
| 1395 | #if defined(HEIGHT_INPUT3D) && defined(DEPTH_INPUT3D) |
| 1396 | b_offset_s32 = (int4) * (((__global int *)(sum_row_addr + batch_id * sum_row_stride_y)) + (z % (int)DEPTH_INPUT3D) * (int)HEIGHT_INPUT3D); |
| 1397 | #else // defined(HEIGHT_INPUT3D) && defined(DEPTH_INPUT3D) |
| 1398 | b_offset_s32 = (int4) * (((__global int *)(sum_row_addr + batch_id * sum_row_stride_y))); |
| 1399 | #endif // defined(HEIGHT_INPUT3D) && defined(DEPTH_INPUT3D) |
| 1400 | b_offset_s32 *= (int4)B_OFFSET; |
| 1401 | #endif // defined(B_OFFSET) |
| 1402 | |
| 1403 | #if defined(ADD_BIAS) |
| 1404 | // Add bias |
| 1405 | __global uchar *bias_addr = biases_ptr + biases_offset_first_element_in_bytes + x * sizeof(int); |
| 1406 | |
| 1407 | int4 biases_values = vload4(0, (__global int *)bias_addr); |
| 1408 | b_offset_s32 += (int4)biases_values; |
| 1409 | #endif // defined(ADD_BIAS) |
| 1410 | |
| 1411 | return (int4)K_OFFSET + a_offset_s32 + b_offset_s32; |
| 1412 | } |
| 1413 | |
Vidhya Sudhan Loganathan | 951b8a4 | 2019-11-04 14:42:08 +0000 | [diff] [blame] | 1414 | /* OpenCL kernel used to add the offset contribution after matrix multiplication. The computation is performed in-place |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1415 | * |
Vidhya Sudhan Loganathan | 951b8a4 | 2019-11-04 14:42:08 +0000 | [diff] [blame] | 1416 | * This kernel takes a final int32 accumulator value (the output of matrix multiplication), |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1417 | * and adds to it the offset contribution of matrix A and matrix B in-place. |
| 1418 | * |
| 1419 | * @attention The k_offset = a_offset * b_offset * k (where k is the number of matrix A columns) needs to be passed at compile time using -DK_OFFSET (i.e. -DK_OFFSET=1200) |
| 1420 | * @note In case the offset contribution due to a_offset is required, a_offset needs to be passed at compile time using -DA_OFFSET (i.e. -DA_OFFSET=1) |
| 1421 | * @note In case the offset contribution due to b_offset is required, b_offset needs to be passed at compile time using -DB_OFFSET (i.e. -DB_OFFSET=6) |
Chunosov | 5124be5 | 2017-11-22 20:42:13 +0700 | [diff] [blame] | 1422 | * @note In case sum_col has batches, -DSUM_COL_HAS_BATCHES must be passed at compile time. Usually if gemmlowp is used to accelerate convolution layer, sum_col will not have batches |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1423 | * |
| 1424 | * The final result is: |
| 1425 | * |
| 1426 | * mm_result[i][k] = mm_result[i][k] + |
| 1427 | * (sum_col[k] * A_OFFSET) + |
| 1428 | * (sum_row[i] * B_OFFSET) + |
| 1429 | * (K_OFFSET) |
| 1430 | * |
Georgios Pinitas | ebf6b8a | 2018-09-24 16:31:08 +0100 | [diff] [blame] | 1431 | * @param[in] mm_result_ptr Pointer to the source tensor. Supported data type: S32 |
| 1432 | * @param[in] mm_result_stride_x Stride of the source tensor in X dimension (in bytes) |
| 1433 | * @param[in] mm_result_step_x mm_result_stride_x * number of elements along X processed per workitem(in bytes) |
| 1434 | * @param[in] mm_result_stride_y Stride of the source tensor in Y dimension (in bytes) |
| 1435 | * @param[in] mm_result_step_y mm_result_stride_y * number of elements along Y processed per workitem(in bytes) |
| 1436 | * @param[in] mm_result_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 1437 | * @param[in] mm_result_step_z mm_result_stride_z * number of elements along Z processed per workitem(in bytes) |
| 1438 | * @param[in] mm_result_offset_first_element_in_bytes The offset of the first element in the source tensor |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1439 | * @param[in] sum_col_ptr (Optional) Pointer to the source tensor. Supported data type: same as @p mm_result_ptr |
| 1440 | * @param[in] sum_col_stride_x (Optional) Stride of the source tensor in X dimension (in bytes) |
| 1441 | * @param[in] sum_col_step_x (Optional) sum_col_stride_x * number of elements along X processed per workitem(in bytes) |
| 1442 | * @param[in] sum_col_stride_y (Optional) Stride of the source tensor in Y dimension (in bytes) |
| 1443 | * @param[in] sum_col_step_y (Optional) sum_col_stride_y * number of elements along Y processed per workitem(in bytes) |
| 1444 | * @param[in] sum_col_offset_first_element_in_bytes (Optional) The offset of the first element in the source tensor |
| 1445 | * @param[in] sum_row_ptr (Optional) Pointer to the source tensor. Supported data type: same as @p mm_result_ptr |
| 1446 | * @param[in] sum_row_stride_x (Optional) Stride of the source tensor in X dimension (in bytes) |
| 1447 | * @param[in] sum_row_step_x (Optional) sum_row_stride_x * number of elements along X processed per workitem(in bytes) |
| 1448 | * @param[in] sum_row_stride_y (Optional) Stride of the source tensor in Y dimension (in bytes) |
| 1449 | * @param[in] sum_row_step_y (Optional) sum_row_stride_y * number of elements along Y processed per workitem(in bytes) |
| 1450 | * @param[in] sum_row_offset_first_element_in_bytes (Optional) The offset of the first element in the source tensor |
| 1451 | * @param[in] biases_ptr (Optional) Pointer to the biases tensor. Supported data type: same as @p src_ptr |
| 1452 | * @param[in] biases_stride_x (Optional) Stride of the biases tensor in X dimension (in bytes) |
| 1453 | * @param[in] biases_step_x (Optional) biases_stride_x * number of elements along X processed per workitem(in bytes) |
| 1454 | * @param[in] biases_offset_first_element_in_bytes (Optional) The offset of the first element in the biases tensor |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1455 | */ |
| 1456 | __kernel void gemmlowp_offset_contribution(TENSOR3D_DECLARATION(mm_result) |
| 1457 | #if defined(A_OFFSET) |
| 1458 | , |
| 1459 | IMAGE_DECLARATION(sum_col) |
| 1460 | #endif // defined(A_OFFSET) |
| 1461 | #if defined(B_OFFSET) |
| 1462 | , |
| 1463 | IMAGE_DECLARATION(sum_row) |
| 1464 | #endif // defined(B_OFFSET) |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1465 | #if defined(ADD_BIAS) |
| 1466 | , |
| 1467 | VECTOR_DECLARATION(biases) |
| 1468 | #endif // defined(ADD_BIAS)) |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1469 | ) |
| 1470 | { |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1471 | const int x = get_global_id(0) * 4; |
Georgios Pinitas | ebf6b8a | 2018-09-24 16:31:08 +0100 | [diff] [blame] | 1472 | const int y = get_global_id(1); |
| 1473 | const int z = get_global_id(2); |
| 1474 | |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1475 | // Compute offset contribution |
| 1476 | int4 offset_term_s32 = offset_contribution( |
| 1477 | x, y, z |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1478 | #if defined(A_OFFSET) |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1479 | , |
| 1480 | sum_col_ptr, |
| 1481 | sum_col_stride_x, |
| 1482 | sum_col_step_x, |
| 1483 | sum_col_stride_y, |
| 1484 | sum_col_step_y, |
| 1485 | sum_col_offset_first_element_in_bytes |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1486 | #endif // defined(A_OFFSET) |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1487 | #if defined(B_OFFSET) |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1488 | , |
| 1489 | sum_row_ptr, |
| 1490 | sum_row_stride_x, |
| 1491 | sum_row_step_x, |
| 1492 | sum_row_stride_y, |
| 1493 | sum_row_step_y, |
| 1494 | sum_row_offset_first_element_in_bytes |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1495 | #endif // defined(B_OFFSET) |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1496 | #if defined(ADD_BIAS) |
| 1497 | , |
| 1498 | biases_ptr, |
| 1499 | biases_stride_x, |
| 1500 | biases_step_x, |
| 1501 | biases_offset_first_element_in_bytes |
| 1502 | #endif // defined(ADD_BIAS) |
| 1503 | ); |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1504 | |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1505 | __global uchar *mm_result_addr = mm_result_ptr + mm_result_offset_first_element_in_bytes + x * sizeof(int) + y * mm_result_stride_y + z * mm_result_stride_z; |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1506 | |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1507 | int4 in_s32 = vload4(0, (__global int *)mm_result_addr); |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1508 | |
| 1509 | // Add the offset terms to GEMM's result |
| 1510 | in_s32 += offset_term_s32; |
| 1511 | |
| 1512 | // Store the result with the offset contribution |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1513 | vstore4(in_s32, 0, (__global int *)mm_result_addr); |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1514 | } |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1515 | |
Michele Di Giorgio | b54ba28 | 2020-01-14 15:31:55 +0000 | [diff] [blame] | 1516 | #if defined(RESULT_OFFSET) && defined(RESULT_MULTIPLIER) && defined(RESULT_SHIFT) && defined(OUTPUT_DATA_TYPE) |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1517 | /* OpenCL kernel used to add the offset contribution after @ref CLGEMMLowpMatrixMultiplyKernel and it quantizes down to uint8. |
| 1518 | * |
| 1519 | * This kernel takes a final int32 accumulator value (the output of @CLGEMMLowpMatrixMultiplyKernel), adds to it the offset contribution of matrix A and matrix B and quantizes to uint8 through the output stage. |
| 1520 | * |
| 1521 | * |
| 1522 | * @attention The k_offset = a_offset * b_offset * k (where k is the number of matrix A columns) needs to be passed at compile time using -DK_OFFSET (i.e. -DK_OFFSET=1200) |
| 1523 | * @note In case the offset contribution due to a_offset is required, a_offset needs to be passed at compile time using -DA_OFFSET (i.e. -DA_OFFSET=1) |
| 1524 | * @note In case the offset contribution due to b_offset is required, b_offset needs to be passed at compile time using -DB_OFFSET (i.e. -DB_OFFSET=6) |
| 1525 | * @note In case sum_col has batches, -DSUM_COL_HAS_BATCHES must be passed at compile time. Usually if gemmlowp is used to accelerate convolution layer, sum_col will not have batches |
| 1526 | * |
| 1527 | * The result before the output stage is: |
| 1528 | * |
| 1529 | * mm_result[i][k] = mm_result[i][k] + |
| 1530 | * (sum_col[k] * A_OFFSET) + |
| 1531 | * (sum_row[i] * B_OFFSET) + |
| 1532 | * (K_OFFSET) |
| 1533 | * |
Manuel Bottini | 959c26d | 2019-12-02 16:22:35 +0000 | [diff] [blame] | 1534 | * This result is quantized down to uint8/int8 using the output stage. The output stage computes the following operations: |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1535 | * |
| 1536 | * -# Add offset terms to final result |
| 1537 | * -# Multiply each entry of result by result_mult_int |
| 1538 | * -# Add bias to final result (if -DADD_BIAS is passed at compile time) |
| 1539 | * -# Shift the int32 accumulator by result_shift |
| 1540 | * -# Clamp the value between the specified min and max bounds (if -DMIN_BOUND and/or -DMAX_BOUND are passed at compile time) |
Manuel Bottini | 959c26d | 2019-12-02 16:22:35 +0000 | [diff] [blame] | 1541 | * -# Clamp the resulting int32 values: |
| 1542 | * - to the [0..255] range and cast to QASYMM8. |
| 1543 | * - to the [-128..127] range and cast to QASYMM8_SIGNED. |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1544 | * |
| 1545 | * @attention The offset, scalar scale factor and number of bits to shift right of output tensor must be passed at compile time using -DRESULT_OFFSET, -RESULT_MULT_INT and -DRESULT_SHIFT |
| 1546 | * |
| 1547 | * @note In case the addition of int32 biases is required, -DADD_BIAS should be passed at compile time |
Manuel Bottini | 959c26d | 2019-12-02 16:22:35 +0000 | [diff] [blame] | 1548 | * @note The output datatype should be passed at compile time using -DOUTPUT_DATA_TYPE |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1549 | * @note In case the clamping of the result is required, the min and max bounds can be passed at compile time using -DMIN_BOUND and -DMAX_BOUND. |
| 1550 | * These values can be used to implement "rectified linear unit" activation functions |
| 1551 | * |
Vidhya Sudhan Loganathan | 951b8a4 | 2019-11-04 14:42:08 +0000 | [diff] [blame] | 1552 | * @param[in] mm_result_ptr Pointer to the source tensor. Supported data type: S32 |
| 1553 | * @param[in] mm_result_stride_x Stride of the source tensor in X dimension (in bytes) |
| 1554 | * @param[in] mm_result_step_x mm_result_stride_x * number of elements along X processed per workitem(in bytes) |
| 1555 | * @param[in] mm_result_stride_y Stride of the source tensor in Y dimension (in bytes) |
| 1556 | * @param[in] mm_result_step_y mm_result_stride_y * number of elements along Y processed per workitem(in bytes) |
| 1557 | * @param[in] mm_result_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 1558 | * @param[in] mm_result_step_z mm_result_stride_z * number of elements along Z processed per workitem(in bytes) |
| 1559 | * @param[in] mm_result_offset_first_element_in_bytes The offset of the first element in the source tensor |
| 1560 | * @param[in] sum_col_ptr (Optional) Pointer to the source tensor. Supported data type: same as @p mm_result_ptr |
| 1561 | * @param[in] sum_col_stride_x (Optional) Stride of the source tensor in X dimension (in bytes) |
| 1562 | * @param[in] sum_col_step_x (Optional) sum_col_stride_x * number of elements along X processed per workitem(in bytes) |
| 1563 | * @param[in] sum_col_stride_y (Optional) Stride of the source tensor in Y dimension (in bytes) |
| 1564 | * @param[in] sum_col_step_y (Optional) sum_col_stride_y * number of elements along Y processed per workitem(in bytes) |
| 1565 | * @param[in] sum_col_offset_first_element_in_bytes (Optional) The offset of the first element in the source tensor |
| 1566 | * @param[in] sum_row_ptr (Optional) Pointer to the source tensor. Supported data type: same as @p mm_result_ptr |
| 1567 | * @param[in] sum_row_stride_x (Optional) Stride of the source tensor in X dimension (in bytes) |
| 1568 | * @param[in] sum_row_step_x (Optional) sum_row_stride_x * number of elements along X processed per workitem(in bytes) |
| 1569 | * @param[in] sum_row_stride_y (Optional) Stride of the source tensor in Y dimension (in bytes) |
| 1570 | * @param[in] sum_row_step_y (Optional) sum_row_stride_y * number of elements along Y processed per workitem(in bytes) |
| 1571 | * @param[in] sum_row_offset_first_element_in_bytes (Optional) The offset of the first element in the source tensor |
| 1572 | * @param[in] biases_ptr (Optional) Pointer to the biases tensor. Supported data type: same as @p src_ptr |
| 1573 | * @param[in] biases_stride_x (Optional) Stride of the biases tensor in X dimension (in bytes) |
| 1574 | * @param[in] biases_step_x (Optional) biases_stride_x * number of elements along X processed per workitem(in bytes) |
| 1575 | * @param[in] biases_offset_first_element_in_bytes (Optional) The offset of the first element in the biases tensor |
Manuel Bottini | 959c26d | 2019-12-02 16:22:35 +0000 | [diff] [blame] | 1576 | * @param[out] dst_ptr Pointer to the destination tensor Supported data type: QASYMM8/QASYMM8_SIGNED |
Vidhya Sudhan Loganathan | 951b8a4 | 2019-11-04 14:42:08 +0000 | [diff] [blame] | 1577 | * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 1578 | * @param[in] dst_step_x dst_gx_stride_x * number of elements along X processed per workitem(in bytes) |
| 1579 | * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 1580 | * @param[in] dst_step_y dst_gx_stride_y * number of elements along Y processed per workitem(in bytes) |
| 1581 | * @param[in] dst_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 1582 | * @param[in] dst_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| 1583 | * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| 1584 | * @param[in] result_multipliers_ptr (Optional) Pointer to the output multipliers vector for per-channel quantization. Supported data types: S32 |
| 1585 | * @param[in] result_multipliers_stride_x (Optional) Stride of the output multipliers vector in X dimension (in bytes) |
| 1586 | * @param[in] result_multipliers_step_x (Optional) output_multipliers_stride_x * number of elements along X processed per workitem(in bytes) |
| 1587 | * @param[in] result_multipliers_offset_first_element_in_bytes (Optional) The offset of the first element in the output multipliers vector |
| 1588 | * @param[in] result_shifts_ptr (Optional) Pointer to the output shifts vector for per-channel quantization. Supported data types: S32 |
| 1589 | * @param[in] result_shifts_stride_x (Optional) Stride of the output shifts vector in X dimension (in bytes) |
| 1590 | * @param[in] result_shifts_step_x (Optional) output_shifts_stride_x * number of elements along X processed per workitem(in bytes) |
| 1591 | * @param[in] result_shifts_offset_first_element_in_bytes (Optional) The offset of the first element in the output shifts vector |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1592 | */ |
| 1593 | __kernel void gemmlowp_offset_contribution_quantize_down(TENSOR3D_DECLARATION(mm_result) |
| 1594 | #if defined(A_OFFSET) |
| 1595 | , |
| 1596 | IMAGE_DECLARATION(sum_col) |
| 1597 | #endif // defined(A_OFFSET) |
| 1598 | #if defined(B_OFFSET) |
| 1599 | , |
| 1600 | IMAGE_DECLARATION(sum_row) |
| 1601 | #endif // defined(B_OFFSET) |
| 1602 | , |
| 1603 | #if defined(ADD_BIAS) |
| 1604 | VECTOR_DECLARATION(biases), |
| 1605 | #endif // defined(ADD_BIAS) |
Vidhya Sudhan Loganathan | 951b8a4 | 2019-11-04 14:42:08 +0000 | [diff] [blame] | 1606 | TENSOR3D_DECLARATION(dst) |
| 1607 | #if defined(PER_CHANNEL_QUANTIZATION) |
| 1608 | , |
| 1609 | VECTOR_DECLARATION(result_multipliers), |
| 1610 | VECTOR_DECLARATION(result_shifts) |
| 1611 | #endif // defined(PER_CHANNEL_QUANTIZATION) |
| 1612 | ) |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1613 | { |
| 1614 | const int x = get_global_id(0) * 4; |
| 1615 | const int y = get_global_id(1); |
| 1616 | const int z = get_global_id(2); |
| 1617 | |
| 1618 | __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x + y * dst_stride_y + z * dst_stride_z; |
| 1619 | |
| 1620 | // Compute offset contribution |
| 1621 | int4 offset_term_s32 = offset_contribution( |
| 1622 | x, y, z |
| 1623 | #if defined(A_OFFSET) |
| 1624 | , |
| 1625 | sum_col_ptr, |
| 1626 | sum_col_stride_x, |
| 1627 | sum_col_step_x, |
| 1628 | sum_col_stride_y, |
| 1629 | sum_col_step_y, |
| 1630 | sum_col_offset_first_element_in_bytes |
| 1631 | #endif // defined(A_OFFSET) |
| 1632 | #if defined(B_OFFSET) |
| 1633 | , |
| 1634 | sum_row_ptr, |
| 1635 | sum_row_stride_x, |
| 1636 | sum_row_step_x, |
| 1637 | sum_row_stride_y, |
| 1638 | sum_row_step_y, |
| 1639 | sum_row_offset_first_element_in_bytes |
| 1640 | #endif // defined(B_OFFSET) |
| 1641 | #if defined(ADD_BIAS) |
| 1642 | , |
| 1643 | biases_ptr, |
| 1644 | biases_stride_x, |
| 1645 | biases_step_x, |
| 1646 | biases_offset_first_element_in_bytes |
| 1647 | #endif // defined(ADD_BIAS) |
| 1648 | ); |
| 1649 | |
| 1650 | __global uchar *mm_result_addr = mm_result_ptr + mm_result_offset_first_element_in_bytes + x * sizeof(int) + y * mm_result_stride_y + z * mm_result_stride_z; |
| 1651 | |
| 1652 | int4 in_s32 = vload4(0, (__global int *)mm_result_addr); |
| 1653 | |
| 1654 | // Add the offset terms to GEMM's result |
| 1655 | in_s32 += offset_term_s32; |
| 1656 | |
| 1657 | // -------------- OUTPUT STAGE |
| 1658 | |
| 1659 | // Add the offset terms to GEMM's result |
| 1660 | in_s32 += (int4)RESULT_OFFSET; |
| 1661 | |
| 1662 | // Multiply by result_mult_int and shift |
Vidhya Sudhan Loganathan | 951b8a4 | 2019-11-04 14:42:08 +0000 | [diff] [blame] | 1663 | #if defined(PER_CHANNEL_QUANTIZATION) |
| 1664 | __global uchar *result_multipliers_addr = result_multipliers_ptr + result_multipliers_offset_first_element_in_bytes + x * sizeof(int); |
| 1665 | __global uchar *result_shifts_addr = result_shifts_ptr + result_shifts_offset_first_element_in_bytes + x * sizeof(int); |
| 1666 | int4 result_multipliers_values = vload4(0, (__global int *)result_multipliers_addr); |
| 1667 | int4 result_shifts_values = vload4(0, (__global int *)result_shifts_addr); |
| 1668 | |
| 1669 | in_s32 *= result_multipliers_values; |
| 1670 | in_s32 >>= result_shifts_values; |
| 1671 | #else // defined(PER_CHANNEL_QUANTIZATION) |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1672 | in_s32 *= RESULT_MULTIPLIER; |
| 1673 | |
| 1674 | in_s32 >>= RESULT_SHIFT; |
Vidhya Sudhan Loganathan | 951b8a4 | 2019-11-04 14:42:08 +0000 | [diff] [blame] | 1675 | #endif // defined(PER_CHANNEL_QUANTIZATION) |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1676 | |
Manuel Bottini | 959c26d | 2019-12-02 16:22:35 +0000 | [diff] [blame] | 1677 | VEC_DATA_TYPE(OUTPUT_DATA_TYPE, 4) |
| 1678 | res = CONVERT_SAT(in_s32, VEC_DATA_TYPE(OUTPUT_DATA_TYPE, 4)); |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1679 | |
| 1680 | #if defined(MIN_BOUND) |
Manuel Bottini | 959c26d | 2019-12-02 16:22:35 +0000 | [diff] [blame] | 1681 | res = max(res, (VEC_DATA_TYPE(OUTPUT_DATA_TYPE, 4))MIN_BOUND); |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1682 | #endif // defined(MIN_BOUND) |
| 1683 | #if defined(MAX_BOUND) |
Manuel Bottini | 959c26d | 2019-12-02 16:22:35 +0000 | [diff] [blame] | 1684 | res = min(res, (VEC_DATA_TYPE(OUTPUT_DATA_TYPE, 4))MAX_BOUND); |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1685 | #endif // defined(MAX_BOUND) |
| 1686 | |
| 1687 | // Store the result |
Manuel Bottini | 959c26d | 2019-12-02 16:22:35 +0000 | [diff] [blame] | 1688 | vstore4(res, 0, (__global OUTPUT_DATA_TYPE *)dst_addr); |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1689 | } |
| 1690 | |
Vidhya Sudhan Loganathan | 951b8a4 | 2019-11-04 14:42:08 +0000 | [diff] [blame] | 1691 | /* OpenCL kernel used to add the offset contribution after matrix multiplication and it quantizes down to uint8. |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1692 | * |
Vidhya Sudhan Loganathan | 951b8a4 | 2019-11-04 14:42:08 +0000 | [diff] [blame] | 1693 | * This kernel takes a final int32 accumulator value (the output of matrix multiplication), adds to it the offset contribution of matrix A and matrix B and quantizes to uint8 through the output stage. |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1694 | * |
| 1695 | * |
| 1696 | * @attention The k_offset = a_offset * b_offset * k (where k is the number of matrix A columns) needs to be passed at compile time using -DK_OFFSET (i.e. -DK_OFFSET=1200) |
| 1697 | * @note In case the offset contribution due to a_offset is required, a_offset needs to be passed at compile time using -DA_OFFSET (i.e. -DA_OFFSET=1) |
| 1698 | * @note In case the offset contribution due to b_offset is required, b_offset needs to be passed at compile time using -DB_OFFSET (i.e. -DB_OFFSET=6) |
| 1699 | * @note In case sum_col has batches, -DSUM_COL_HAS_BATCHES must be passed at compile time. Usually if gemmlowp is used to accelerate convolution layer, sum_col will not have batches |
| 1700 | * |
| 1701 | * The result before the output stage is: |
| 1702 | * |
| 1703 | * mm_result[i][k] = mm_result[i][k] + |
| 1704 | * (sum_col[k] * A_OFFSET) + |
| 1705 | * (sum_row[i] * B_OFFSET) + |
| 1706 | * (K_OFFSET) |
| 1707 | * |
Manuel Bottini | 959c26d | 2019-12-02 16:22:35 +0000 | [diff] [blame] | 1708 | * This result is quantized down to uint8/int8 using the output stage. The output stage computes the following operations: |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1709 | * |
| 1710 | * -# Compute fixed point multiplication between each entry of input by result_fixedpoint_multiplier |
| 1711 | * -# Add bias to final result if bias tensor is not a nullptr |
| 1712 | * -# Round to nearest division by a power-of-two using result_shift |
| 1713 | * -# Add offset to each result |
| 1714 | * -# Clamp the value between the specified min and max bounds |
Manuel Bottini | 959c26d | 2019-12-02 16:22:35 +0000 | [diff] [blame] | 1715 | * -# Clamp the resulting int32 values: |
| 1716 | * - to the [0..255] range and cast to QASYMM8. |
| 1717 | * - to the [-128..127] range and cast to QASYMM8_SIGNED. |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1718 | * |
| 1719 | * @attention The offset, scalar scale factor and number of bits to shift right of output tensor must be passed at compile time using -DRESULT_OFFSET, -RESULT_MULT_INT and -DRESULT_SHIFT |
| 1720 | * |
| 1721 | * @note In case the addition of int32 biases is required, -DADD_BIAS should be passed at compile time |
Manuel Bottini | 959c26d | 2019-12-02 16:22:35 +0000 | [diff] [blame] | 1722 | * @note The output datatype should be passed at compile time using -DOUTPUT_DATA_TYPE |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1723 | * @note In case the clamping of the result is required, the min and max bounds can be passed at compile time using -DMIN_BOUND and -DMAX_BOUND. |
| 1724 | * These values can be used to implement "rectified linear unit" activation functions |
| 1725 | * |
Vidhya Sudhan Loganathan | 951b8a4 | 2019-11-04 14:42:08 +0000 | [diff] [blame] | 1726 | * @param[in] mm_result_ptr Pointer to the source tensor. Supported data type: S32 |
| 1727 | * @param[in] mm_result_stride_x Stride of the source tensor in X dimension (in bytes) |
| 1728 | * @param[in] mm_result_step_x mm_result_stride_x * number of elements along X processed per workitem(in bytes) |
| 1729 | * @param[in] mm_result_stride_y Stride of the source tensor in Y dimension (in bytes) |
| 1730 | * @param[in] mm_result_step_y mm_result_stride_y * number of elements along Y processed per workitem(in bytes) |
| 1731 | * @param[in] mm_result_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 1732 | * @param[in] mm_result_step_z mm_result_stride_z * number of elements along Z processed per workitem(in bytes) |
| 1733 | * @param[in] mm_result_offset_first_element_in_bytes The offset of the first element in the source tensor |
| 1734 | * @param[in] sum_col_ptr (Optional) Pointer to the source tensor. Supported data type: same as @p mm_result_ptr |
| 1735 | * @param[in] sum_col_stride_x (Optional) Stride of the source tensor in X dimension (in bytes) |
| 1736 | * @param[in] sum_col_step_x (Optional) sum_col_stride_x * number of elements along X processed per workitem(in bytes) |
| 1737 | * @param[in] sum_col_stride_y (Optional) Stride of the source tensor in Y dimension (in bytes) |
| 1738 | * @param[in] sum_col_step_y (Optional) sum_col_stride_y * number of elements along Y processed per workitem(in bytes) |
| 1739 | * @param[in] sum_col_offset_first_element_in_bytes (Optional) The offset of the first element in the source tensor |
| 1740 | * @param[in] sum_row_ptr (Optional) Pointer to the source tensor. Supported data type: same as @p mm_result_ptr |
| 1741 | * @param[in] sum_row_stride_x (Optional) Stride of the source tensor in X dimension (in bytes) |
| 1742 | * @param[in] sum_row_step_x (Optional) sum_row_stride_x * number of elements along X processed per workitem(in bytes) |
| 1743 | * @param[in] sum_row_stride_y (Optional) Stride of the source tensor in Y dimension (in bytes) |
| 1744 | * @param[in] sum_row_step_y (Optional) sum_row_stride_y * number of elements along Y processed per workitem(in bytes) |
| 1745 | * @param[in] sum_row_offset_first_element_in_bytes (Optional) The offset of the first element in the source tensor |
| 1746 | * @param[in] biases_ptr (Optional) Pointer to the biases tensor. Supported data type: same as @p src_ptr |
| 1747 | * @param[in] biases_stride_x (Optional) Stride of the biases tensor in X dimension (in bytes) |
| 1748 | * @param[in] biases_step_x (Optional) biases_stride_x * number of elements along X processed per workitem(in bytes) |
| 1749 | * @param[in] biases_offset_first_element_in_bytes (Optional) The offset of the first element in the biases tensor |
| 1750 | * @param[out] dst_ptr Pointer to the destination tensor Supported data type: QASYMM8 |
| 1751 | * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 1752 | * @param[in] dst_step_x dst_gx_stride_x * number of elements along X processed per workitem(in bytes) |
| 1753 | * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 1754 | * @param[in] dst_step_y dst_gx_stride_y * number of elements along Y processed per workitem(in bytes) |
| 1755 | * @param[in] dst_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 1756 | * @param[in] dst_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| 1757 | * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| 1758 | * @param[in] result_multipliers_ptr (Optional) Pointer to the output multipliers vector for per-channel quantization. Supported data types: S32 |
| 1759 | * @param[in] result_multipliers_stride_x (Optional) Stride of the output multipliers vector in X dimension (in bytes) |
| 1760 | * @param[in] result_multipliers_step_x (Optional) output_multipliers_stride_x * number of elements along X processed per workitem(in bytes) |
| 1761 | * @param[in] result_multipliers_offset_first_element_in_bytes (Optional) The offset of the first element in the output multipliers vector |
| 1762 | * @param[in] result_shifts_ptr (Optional) Pointer to the output shifts vector for per-channel quantization. Supported data types: S32 |
| 1763 | * @param[in] result_shifts_stride_x (Optional) Stride of the output shifts vector in X dimension (in bytes) |
| 1764 | * @param[in] result_shifts_step_x (Optional) output_shifts_stride_x * number of elements along X processed per workitem(in bytes) |
| 1765 | * @param[in] result_shifts_offset_first_element_in_bytes (Optional) The offset of the first element in the output shifts vector |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1766 | */ |
| 1767 | __kernel void gemmlowp_offset_contribution_quantize_down_fixedpoint(TENSOR3D_DECLARATION(mm_result) |
| 1768 | #if defined(A_OFFSET) |
| 1769 | , |
| 1770 | IMAGE_DECLARATION(sum_col) |
| 1771 | #endif // defined(A_OFFSET) |
| 1772 | #if defined(B_OFFSET) |
| 1773 | , |
| 1774 | IMAGE_DECLARATION(sum_row) |
| 1775 | #endif // defined(B_OFFSET) |
| 1776 | , |
| 1777 | #if defined(ADD_BIAS) |
| 1778 | VECTOR_DECLARATION(biases), |
| 1779 | #endif // defined(ADD_BIAS) |
Vidhya Sudhan Loganathan | 951b8a4 | 2019-11-04 14:42:08 +0000 | [diff] [blame] | 1780 | TENSOR3D_DECLARATION(dst) |
| 1781 | #if defined(PER_CHANNEL_QUANTIZATION) |
| 1782 | , |
| 1783 | VECTOR_DECLARATION(result_multipliers), |
| 1784 | VECTOR_DECLARATION(result_shifts) |
| 1785 | #endif // defined(PER_CHANNEL_QUANTIZATION) |
| 1786 | ) |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1787 | { |
| 1788 | const int x = get_global_id(0) * 4; |
| 1789 | const int y = get_global_id(1); |
| 1790 | const int z = get_global_id(2); |
| 1791 | |
| 1792 | // Compute offset contribution |
| 1793 | int4 offset_term_s32 = offset_contribution( |
| 1794 | x, y, z |
| 1795 | #if defined(A_OFFSET) |
| 1796 | , |
| 1797 | sum_col_ptr, |
| 1798 | sum_col_stride_x, |
| 1799 | sum_col_step_x, |
| 1800 | sum_col_stride_y, |
| 1801 | sum_col_step_y, |
| 1802 | sum_col_offset_first_element_in_bytes |
| 1803 | #endif // defined(A_OFFSET) |
| 1804 | #if defined(B_OFFSET) |
| 1805 | , |
| 1806 | sum_row_ptr, |
| 1807 | sum_row_stride_x, |
| 1808 | sum_row_step_x, |
| 1809 | sum_row_stride_y, |
| 1810 | sum_row_step_y, |
| 1811 | sum_row_offset_first_element_in_bytes |
| 1812 | #endif // defined(B_OFFSET) |
| 1813 | #if defined(ADD_BIAS) |
| 1814 | , |
| 1815 | biases_ptr, |
| 1816 | biases_stride_x, |
| 1817 | biases_step_x, |
| 1818 | biases_offset_first_element_in_bytes |
| 1819 | #endif // defined(ADD_BIAS) |
| 1820 | ); |
| 1821 | |
| 1822 | __global uchar *mm_result_addr = mm_result_ptr + mm_result_offset_first_element_in_bytes + x * sizeof(int) + y * mm_result_stride_y + z * mm_result_stride_z; |
| 1823 | |
| 1824 | __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x + y * dst_stride_y + z * dst_stride_z; |
| 1825 | |
| 1826 | int4 in_s32 = vload4(0, (__global int *)mm_result_addr); |
| 1827 | |
| 1828 | // Add the offset terms to GEMM's result |
| 1829 | in_s32 += offset_term_s32; |
| 1830 | |
| 1831 | // -------------- OUTPUT STAGE |
| 1832 | |
| 1833 | // Multiply by result_mult_int and shift |
Vidhya Sudhan Loganathan | 951b8a4 | 2019-11-04 14:42:08 +0000 | [diff] [blame] | 1834 | #if defined(PER_CHANNEL_QUANTIZATION) |
| 1835 | __global uchar *result_multipliers_addr = result_multipliers_ptr + result_multipliers_offset_first_element_in_bytes + x * sizeof(int); |
| 1836 | __global uchar *result_shifts_addr = result_shifts_ptr + result_shifts_offset_first_element_in_bytes + x * sizeof(int); |
| 1837 | int4 result_multipliers_values = vload4(0, (__global int *)result_multipliers_addr); |
| 1838 | int4 result_shifts_values = vload4(0, (__global int *)result_shifts_addr); |
| 1839 | |
Michele Di Giorgio | 14cbfb2 | 2019-10-23 10:53:10 +0100 | [diff] [blame] | 1840 | int4 in_s32_shift_lt0 = ASYMM_MULT_BY_QUANT_MULTIPLIER_GREATER_THAN_ONE(in_s32, result_multipliers_values, result_shifts_values, 4); |
| 1841 | int4 in_s32_shift_gt0 = ASYMM_MULT_BY_QUANT_MULTIPLIER_LESS_THAN_ONE(in_s32, result_multipliers_values, result_shifts_values, 4); |
| 1842 | in_s32 = select(in_s32_shift_lt0, in_s32_shift_gt0, result_shifts_values >= 0); |
| 1843 | #else // defined(PER_CHANNEL_QUANTIZATION) |
| 1844 | |
| 1845 | #if RESULT_SHIFT < 0 |
| 1846 | in_s32 = ASYMM_MULT_BY_QUANT_MULTIPLIER_GREATER_THAN_ONE(in_s32, RESULT_MULTIPLIER, RESULT_SHIFT, 4); |
| 1847 | #else // RESULT_SHIFT >= 0 |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1848 | in_s32 = ASYMM_MULT_BY_QUANT_MULTIPLIER_LESS_THAN_ONE(in_s32, RESULT_MULTIPLIER, RESULT_SHIFT, 4); |
Michele Di Giorgio | 14cbfb2 | 2019-10-23 10:53:10 +0100 | [diff] [blame] | 1849 | #endif // RESULT_SHIFT < 0 |
| 1850 | |
Vidhya Sudhan Loganathan | 951b8a4 | 2019-11-04 14:42:08 +0000 | [diff] [blame] | 1851 | #endif // defined(PER_CHANNEL_QUANTIZATION) |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1852 | |
| 1853 | // Add the offset terms to GEMM's result |
| 1854 | in_s32 += (int4)RESULT_OFFSET; |
| 1855 | |
Manuel Bottini | 959c26d | 2019-12-02 16:22:35 +0000 | [diff] [blame] | 1856 | VEC_DATA_TYPE(OUTPUT_DATA_TYPE, 4) |
| 1857 | res = CONVERT_SAT(in_s32, VEC_DATA_TYPE(OUTPUT_DATA_TYPE, 4)); |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1858 | |
| 1859 | #if defined(MIN_BOUND) |
Manuel Bottini | 959c26d | 2019-12-02 16:22:35 +0000 | [diff] [blame] | 1860 | res = max(res, (VEC_DATA_TYPE(OUTPUT_DATA_TYPE, 4))MIN_BOUND); |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1861 | #endif // defined(MIN_BOUND) |
| 1862 | #if defined(MAX_BOUND) |
Manuel Bottini | 959c26d | 2019-12-02 16:22:35 +0000 | [diff] [blame] | 1863 | res = min(res, (VEC_DATA_TYPE(OUTPUT_DATA_TYPE, 4))MAX_BOUND); |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1864 | #endif // defined(MAX_BOUND) |
| 1865 | |
| 1866 | // Store the result |
Manuel Bottini | 959c26d | 2019-12-02 16:22:35 +0000 | [diff] [blame] | 1867 | vstore4(res, 0, (__global OUTPUT_DATA_TYPE *)dst_addr); |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1868 | } |
Michele Di Giorgio | b54ba28 | 2020-01-14 15:31:55 +0000 | [diff] [blame] | 1869 | #endif // defined(RESULT_OFFSET) && defined(RESULT_MULTIPLIER) && defined(RESULT_SHIFT) && defined(OUTPUT_DATA_TYPE) |
Vidhya Sudhan Loganathan | 951b8a4 | 2019-11-04 14:42:08 +0000 | [diff] [blame] | 1870 | |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1871 | #endif // defined(K_OFFSET) |
| 1872 | |
| 1873 | #if defined(RESULT_OFFSET) && defined(RESULT_MULT_INT) && defined(RESULT_SHIFT) |
Luca Foschiani | 689c968 | 2020-02-26 14:30:14 +0000 | [diff] [blame] | 1874 | /** This OpenCL kernel is used to quantize down the int32 accumulator values of GEMMLowp to QASYMM8/QASYMM8_SIGNED |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1875 | * |
Luca Foschiani | 689c968 | 2020-02-26 14:30:14 +0000 | [diff] [blame] | 1876 | * This kernel takes a final int32 accumulator value and processes it to obtain the final QASYMM8/QASYMM8_SIGNED value. |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1877 | * The following computations will be performed by the kernel: |
| 1878 | * |
| 1879 | * -# Add offset terms to final result |
| 1880 | * -# Multiply each entry of result by result_mult_int |
| 1881 | * -# Add bias to final result (if -DADD_BIAS is passed at compile time) |
| 1882 | * -# Shift the int32 accumulator by result_shift |
| 1883 | * -# Clamp the value between the specified min and max bounds (if -DMIN_BOUND and/or -DMAX_BOUND are passed at compile time) |
Luca Foschiani | 689c968 | 2020-02-26 14:30:14 +0000 | [diff] [blame] | 1884 | * -# Clamp the resulting int32 values: |
| 1885 | * -# - to the [0..255] range and cast to QASYMM8. |
| 1886 | * -# - to the [-128..127] range and cast to QASYMM8_SIGNED. |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1887 | * |
| 1888 | * @attention The offset, scalar scale factor and number of bits to shift right of output tensor must be passed at compile time using -DRESULT_OFFSET, -RESULT_MULT_INT and -DRESULT_SHIFT |
| 1889 | * |
| 1890 | * @note In case the addition of int32 biases is required, -DADD_BIAS should be passed at compile time |
Luca Foschiani | 689c968 | 2020-02-26 14:30:14 +0000 | [diff] [blame] | 1891 | * @note The output datatype should be passed at compile time using -DOUTPUT_DATA_TYPE |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1892 | * @note In case the clamping of the result is required, the min and max bounds can be passed at compile time using -DMIN_BOUND and -DMAX_BOUND. |
| 1893 | * These values can be used to implement "rectified linear unit" activation functions |
| 1894 | * |
| 1895 | * @param[in] src_ptr Pointer to the source tensor. Supported data type: S32 |
| 1896 | * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| 1897 | * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| 1898 | * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| 1899 | * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| 1900 | * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 1901 | * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| 1902 | * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1903 | * @param[in] biases_ptr (Optional) Pointer to the biases tensor. Supported data type: same as @p src_ptr |
| 1904 | * @param[in] biases_stride_x (Optional) Stride of the biases tensor in X dimension (in bytes) |
| 1905 | * @param[in] biases_step_x (Optional) biases_stride_x * number of elements along X processed per workitem(in bytes) |
| 1906 | * @param[in] biases_offset_first_element_in_bytes (Optional) The offset of the first element in the biases tensor |
Luca Foschiani | 689c968 | 2020-02-26 14:30:14 +0000 | [diff] [blame] | 1907 | * @param[out] dst_ptr Pointer to the destination tensor Supported data type: QASYMM8/QASYMM8_SIGNED |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1908 | * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 1909 | * @param[in] dst_step_x dst_gx_stride_x * number of elements along X processed per workitem(in bytes) |
| 1910 | * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 1911 | * @param[in] dst_step_y dst_gx_stride_y * number of elements along Y processed per workitem(in bytes) |
| 1912 | * @param[in] dst_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 1913 | * @param[in] dst_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| 1914 | * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| 1915 | */ |
| 1916 | __kernel void gemmlowp_output_stage_quantize_down(TENSOR3D_DECLARATION(src), |
| 1917 | #if defined(ADD_BIAS) |
| 1918 | VECTOR_DECLARATION(biases), |
| 1919 | #endif // defined(ADD_BIAS) |
| 1920 | TENSOR3D_DECLARATION(dst)) |
| 1921 | { |
| 1922 | // Compute source and destination addresses |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1923 | int x = get_global_id(0) * 4; |
| 1924 | int y = get_global_id(1); |
| 1925 | int z = get_global_id(2); |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1926 | |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1927 | __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * sizeof(int) + y * src_stride_y + z * src_stride_z; |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1928 | |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1929 | __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x + y * dst_stride_y + z * dst_stride_z; |
| 1930 | |
| 1931 | int4 input_values = vload4(0, (__global int *)src_addr); |
Gian Marco | 58c5794 | 2017-11-28 09:10:03 +0000 | [diff] [blame] | 1932 | |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1933 | #if defined(ADD_BIAS) |
| 1934 | // Add bias |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1935 | __global uchar *bias_addr = biases_ptr + biases_offset_first_element_in_bytes + x * sizeof(int); |
| 1936 | |
| 1937 | int4 biases_values = vload4(0, (__global int *)bias_addr); |
| 1938 | input_values += (int4)biases_values; |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1939 | #endif // defined(ADD_BIAS) |
| 1940 | |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1941 | // Add the offset terms to GEMM's result |
| 1942 | input_values += (int4)RESULT_OFFSET; |
| 1943 | |
Georgios Pinitas | 45bcc3a | 2017-11-29 11:06:49 +0000 | [diff] [blame] | 1944 | // Multiply by result_mult_int and shift |
Gian Marco | 58c5794 | 2017-11-28 09:10:03 +0000 | [diff] [blame] | 1945 | input_values *= RESULT_MULT_INT; |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1946 | |
Michele Di Giorgio | 14cbfb2 | 2019-10-23 10:53:10 +0100 | [diff] [blame] | 1947 | #if RESULT_SHIFT < 0 |
| 1948 | input_values >>= -RESULT_SHIFT; |
| 1949 | #else // RESULT_SHIFT >= 0 |
Gian Marco | 58c5794 | 2017-11-28 09:10:03 +0000 | [diff] [blame] | 1950 | input_values >>= RESULT_SHIFT; |
Michele Di Giorgio | 14cbfb2 | 2019-10-23 10:53:10 +0100 | [diff] [blame] | 1951 | #endif // RESULT_SHIFT < 0 |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1952 | |
Luca Foschiani | 689c968 | 2020-02-26 14:30:14 +0000 | [diff] [blame] | 1953 | VEC_DATA_TYPE(OUTPUT_DATA_TYPE, 4) |
| 1954 | res = CONVERT_SAT(input_values, VEC_DATA_TYPE(OUTPUT_DATA_TYPE, 4)); |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1955 | |
| 1956 | #if defined(MIN_BOUND) |
Luca Foschiani | 689c968 | 2020-02-26 14:30:14 +0000 | [diff] [blame] | 1957 | res = max(res, (VEC_DATA_TYPE(OUTPUT_DATA_TYPE, 4))MIN_BOUND); |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1958 | #endif // defined(MIN_BOUND) |
| 1959 | #if defined(MAX_BOUND) |
Luca Foschiani | 689c968 | 2020-02-26 14:30:14 +0000 | [diff] [blame] | 1960 | res = min(res, (VEC_DATA_TYPE(OUTPUT_DATA_TYPE, 4))MAX_BOUND); |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1961 | #endif // defined(MAX_BOUND) |
| 1962 | |
| 1963 | // Store the result |
Luca Foschiani | 5219ed8 | 2020-03-27 15:04:13 +0000 | [diff] [blame] | 1964 | vstore4(res, 0, (__global OUTPUT_DATA_TYPE *)dst_addr); |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 1965 | } |
Gian Marco | 58c5794 | 2017-11-28 09:10:03 +0000 | [diff] [blame] | 1966 | #endif // defined(RESULT_OFFSET) && defined(RESULT_MULT_INT) && defined(RESULT_SHIFT) |
| 1967 | |
| 1968 | #if defined(RESULT_OFFSET_AFTER_SHIFT) && defined(RESULT_FIXEDPOINT_MULTIPLIER) && defined(RESULT_SHIFT) |
Manuel Bottini | 959c26d | 2019-12-02 16:22:35 +0000 | [diff] [blame] | 1969 | /** This OpenCL kernel is used to quantize down the int32 accumulator values of GEMMLowp to QASYMM8/QASYMM8_SIGNED |
Gian Marco | 58c5794 | 2017-11-28 09:10:03 +0000 | [diff] [blame] | 1970 | * |
Manuel Bottini | 959c26d | 2019-12-02 16:22:35 +0000 | [diff] [blame] | 1971 | * This kernel takes a final int32 accumulator value (the output of matrix multiplication), and processes it to obtain the final QASYMM8/QASYMM8_SIGNED value. |
Gian Marco | 58c5794 | 2017-11-28 09:10:03 +0000 | [diff] [blame] | 1972 | * The following computations will be performed by the kernel: |
| 1973 | * |
| 1974 | * -# Compute fixed point multiplication between each entry of input by result_fixedpoint_multiplier |
| 1975 | * -# Add bias to final result if bias tensor is not a nullptr |
| 1976 | * -# Round to nearest division by a power-of-two using result_shift |
| 1977 | * -# Add offset to each result |
| 1978 | * -# Clamp the value between the specified min and max bounds |
Manuel Bottini | 1f332d4 | 2019-11-29 17:25:25 +0000 | [diff] [blame] | 1979 | * -# Clamp the resulting int32 values: |
| 1980 | * - to the [0..255] range and cast to QASYMM8. |
| 1981 | * - to the [-128..127] range and cast to QASYMM8_SIGNED. |
Gian Marco | 58c5794 | 2017-11-28 09:10:03 +0000 | [diff] [blame] | 1982 | * |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1983 | * @attention The offset, scalar scale factor and number of bits to shift right of output tensor must be passed at compile time using -DRESULT_OFFSET_AFTER_SHIFT, -DRESULT_FIXEDPOINT_MULTIPLIER and -DRESULT_SHIFT |
Gian Marco | 58c5794 | 2017-11-28 09:10:03 +0000 | [diff] [blame] | 1984 | * |
| 1985 | * @note In case the addition of int32 biases is required, -DADD_BIAS should be passed at compile time |
Manuel Bottini | 1f332d4 | 2019-11-29 17:25:25 +0000 | [diff] [blame] | 1986 | * @note The output datatype should be passed at compile time using -DOUTPUT_DATA_TYPE |
Gian Marco | 58c5794 | 2017-11-28 09:10:03 +0000 | [diff] [blame] | 1987 | * @note In case the clamping of the result is required, the min and max bounds can be passed at compile time using -DMIN_BOUND and -DMAX_BOUND. |
| 1988 | * These values can be used to implement "rectified linear unit" activation functions |
| 1989 | * |
| 1990 | * @param[in] src_ptr Pointer to the source tensor. Supported data type: S32 |
| 1991 | * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| 1992 | * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| 1993 | * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| 1994 | * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| 1995 | * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 1996 | * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| 1997 | * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1998 | * @param[in] biases_ptr (Optional) Pointer to the biases tensor. Supported data type: same as @p src_ptr |
| 1999 | * @param[in] biases_stride_x (Optional) Stride of the biases tensor in X dimension (in bytes) |
| 2000 | * @param[in] biases_step_x (Optional) biases_stride_x * number of elements along X processed per workitem(in bytes) |
| 2001 | * @param[in] biases_offset_first_element_in_bytes (Optional) The offset of the first element in the biases tensor |
Sheri Zhang | 0cdbda5 | 2020-02-25 15:57:21 +0000 | [diff] [blame] | 2002 | * @param[out] dst_ptr Pointer to the destination tensor Supported data type: QASYMM8/QASYMM8_SIGNED |
Gian Marco | 58c5794 | 2017-11-28 09:10:03 +0000 | [diff] [blame] | 2003 | * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 2004 | * @param[in] dst_step_x dst_gx_stride_x * number of elements along X processed per workitem(in bytes) |
| 2005 | * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 2006 | * @param[in] dst_step_y dst_gx_stride_y * number of elements along Y processed per workitem(in bytes) |
| 2007 | * @param[in] dst_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 2008 | * @param[in] dst_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| 2009 | * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| 2010 | */ |
| 2011 | __kernel void gemmlowp_output_stage_quantize_down_fixedpoint(TENSOR3D_DECLARATION(src), |
| 2012 | #if defined(ADD_BIAS) |
| 2013 | VECTOR_DECLARATION(biases), |
| 2014 | #endif // defined(ADD_BIAS) |
| 2015 | TENSOR3D_DECLARATION(dst)) |
| 2016 | { |
| 2017 | // Compute source and destination addresses |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 2018 | int x = get_global_id(0) * 4; |
| 2019 | int y = get_global_id(1); |
| 2020 | int z = get_global_id(2); |
Georgios Pinitas | 932491f | 2018-09-21 16:33:15 +0100 | [diff] [blame] | 2021 | |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 2022 | __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * sizeof(int) + y * src_stride_y + z * src_stride_z; |
Gian Marco | 58c5794 | 2017-11-28 09:10:03 +0000 | [diff] [blame] | 2023 | |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 2024 | __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x + y * dst_stride_y + z * dst_stride_z; |
| 2025 | |
| 2026 | int4 input_values = vload4(0, (__global int *)src_addr); |
Gian Marco | 58c5794 | 2017-11-28 09:10:03 +0000 | [diff] [blame] | 2027 | |
| 2028 | #if defined(ADD_BIAS) |
| 2029 | // Add bias |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 2030 | __global uchar *bias_addr = biases_ptr + biases_offset_first_element_in_bytes + x * sizeof(int); |
| 2031 | |
| 2032 | int4 biases_values = vload4(0, (__global int *)bias_addr); |
| 2033 | input_values += (int4)biases_values; |
Gian Marco | 58c5794 | 2017-11-28 09:10:03 +0000 | [diff] [blame] | 2034 | #endif // defined(ADD_BIAS) |
| 2035 | |
| 2036 | // Multiply by result_mult_int and shift |
Michele Di Giorgio | 14cbfb2 | 2019-10-23 10:53:10 +0100 | [diff] [blame] | 2037 | #if RESULT_SHIFT < 0 |
| 2038 | input_values = ASYMM_MULT_BY_QUANT_MULTIPLIER_GREATER_THAN_ONE(input_values, RESULT_FIXEDPOINT_MULTIPLIER, RESULT_SHIFT, 4); |
| 2039 | #else // RESULT_SHIFT >= 0 |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 2040 | input_values = ASYMM_MULT_BY_QUANT_MULTIPLIER_LESS_THAN_ONE(input_values, RESULT_FIXEDPOINT_MULTIPLIER, RESULT_SHIFT, 4); |
Michele Di Giorgio | 14cbfb2 | 2019-10-23 10:53:10 +0100 | [diff] [blame] | 2041 | #endif // RESULT_SHIFT < 0 |
Gian Marco | 58c5794 | 2017-11-28 09:10:03 +0000 | [diff] [blame] | 2042 | |
| 2043 | // Add the offset terms to GEMM's result |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 2044 | input_values += (int4)RESULT_OFFSET_AFTER_SHIFT; |
Gian Marco | 58c5794 | 2017-11-28 09:10:03 +0000 | [diff] [blame] | 2045 | |
Manuel Bottini | 1f332d4 | 2019-11-29 17:25:25 +0000 | [diff] [blame] | 2046 | VEC_DATA_TYPE(OUTPUT_DATA_TYPE, 4) |
| 2047 | res = CONVERT_SAT(input_values, VEC_DATA_TYPE(OUTPUT_DATA_TYPE, 4)); |
Gian Marco | 58c5794 | 2017-11-28 09:10:03 +0000 | [diff] [blame] | 2048 | |
| 2049 | #if defined(MIN_BOUND) |
Manuel Bottini | 1f332d4 | 2019-11-29 17:25:25 +0000 | [diff] [blame] | 2050 | res = max(res, (VEC_DATA_TYPE(OUTPUT_DATA_TYPE, 4))MIN_BOUND); |
Gian Marco | 58c5794 | 2017-11-28 09:10:03 +0000 | [diff] [blame] | 2051 | #endif // defined(MIN_BOUND) |
| 2052 | #if defined(MAX_BOUND) |
Manuel Bottini | 1f332d4 | 2019-11-29 17:25:25 +0000 | [diff] [blame] | 2053 | res = min(res, (VEC_DATA_TYPE(OUTPUT_DATA_TYPE, 4))MAX_BOUND); |
Gian Marco | 58c5794 | 2017-11-28 09:10:03 +0000 | [diff] [blame] | 2054 | #endif // defined(MAX_BOUND) |
| 2055 | |
| 2056 | // Store the result |
Manuel Bottini | 1f332d4 | 2019-11-29 17:25:25 +0000 | [diff] [blame] | 2057 | vstore4(res, 0, (__global OUTPUT_DATA_TYPE *)dst_addr); |
Gian Marco | 58c5794 | 2017-11-28 09:10:03 +0000 | [diff] [blame] | 2058 | } |
Chunosov | 5124be5 | 2017-11-22 20:42:13 +0700 | [diff] [blame] | 2059 | #endif // defined(RESULT_OFFSET_AFTER_SHIFT) && defined(RESULT_FIXEDPOINT_MULTIPLIER) && defined(RESULT_SHIFT) |
Georgios Pinitas | 51e53a3 | 2018-10-22 13:49:08 +0100 | [diff] [blame] | 2060 | |
Manuel Bottini | 9c9b70b | 2019-07-01 17:35:56 +0100 | [diff] [blame] | 2061 | #if defined(RESULT_FIXEDPOINT_MULTIPLIER) && defined(RESULT_SHIFT) |
| 2062 | |
Michalis Spyrou | 51146c5 | 2019-07-12 14:42:29 +0100 | [diff] [blame] | 2063 | /** This OpenCL kernel is used to quantize down the int32 accumulator values of GEMMLowp to QSYMM16 |
Manuel Bottini | 9c9b70b | 2019-07-01 17:35:56 +0100 | [diff] [blame] | 2064 | * |
Vidhya Sudhan Loganathan | 951b8a4 | 2019-11-04 14:42:08 +0000 | [diff] [blame] | 2065 | * This kernel takes a final int32 accumulator value (the output of matrix multiplication), and processes it to obtain the final QSYMM16 value. |
Manuel Bottini | 9c9b70b | 2019-07-01 17:35:56 +0100 | [diff] [blame] | 2066 | * The following computations will be performed by the kernel: |
| 2067 | * |
| 2068 | * -# Compute fixed point multiplication between each entry of input by result_fixedpoint_multiplier |
| 2069 | * -# Add bias to final result if bias tensor is not a nullptr |
| 2070 | * -# Round to nearest division by a power-of-two using result_shift |
| 2071 | * -# Add offset to each result |
| 2072 | * -# Clamp the value between the specified min and max bounds |
| 2073 | * -# Clamp the resulting int32 values to the [-32768..32767] range and cast to QSYMM16. |
| 2074 | * |
| 2075 | * @attention The offset, scalar scale factor and number of bits to shift right of output tensor must be passed at compile time using -DRESULT_FIXEDPOINT_MULTIPLIER and -DRESULT_SHIFT |
| 2076 | * |
| 2077 | * @note In case the addition of int32 biases is required, -DADD_BIAS should be passed at compile time |
| 2078 | * @note In case the clamping of the result is required, the min and max bounds can be passed at compile time using -DMIN_BOUND and -DMAX_BOUND. |
| 2079 | * These values can be used to implement "rectified linear unit" activation functions |
| 2080 | * |
| 2081 | * @param[in] src_ptr Pointer to the source tensor. Supported data type: S32 |
| 2082 | * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| 2083 | * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| 2084 | * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| 2085 | * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| 2086 | * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 2087 | * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| 2088 | * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| 2089 | * @param[in] biases_ptr (Optional) Pointer to the biases tensor. Supported data type: same as @p src_ptr |
| 2090 | * @param[in] biases_stride_x (Optional) Stride of the biases tensor in X dimension (in bytes) |
| 2091 | * @param[in] biases_step_x (Optional) biases_stride_x * number of elements along X processed per workitem(in bytes) |
| 2092 | * @param[in] biases_offset_first_element_in_bytes (Optional) The offset of the first element in the biases tensor |
Sheri Zhang | b18252d | 2020-04-07 11:04:57 +0100 | [diff] [blame] | 2093 | * @param[out] dst_ptr Pointer to the destination tensor Supported data type: QSYMM16 |
Manuel Bottini | 9c9b70b | 2019-07-01 17:35:56 +0100 | [diff] [blame] | 2094 | * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 2095 | * @param[in] dst_step_x dst_gx_stride_x * number of elements along X processed per workitem(in bytes) |
| 2096 | * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 2097 | * @param[in] dst_step_y dst_gx_stride_y * number of elements along Y processed per workitem(in bytes) |
| 2098 | * @param[in] dst_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 2099 | * @param[in] dst_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| 2100 | * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| 2101 | */ |
| 2102 | __kernel void gemmlowp_output_stage_quantize_down_fixedpoint_qsymm16(TENSOR3D_DECLARATION(src), |
| 2103 | #if defined(ADD_BIAS) |
| 2104 | VECTOR_DECLARATION(biases), |
| 2105 | #endif // defined(ADD_BIAS) |
| 2106 | TENSOR3D_DECLARATION(dst)) |
| 2107 | { |
| 2108 | // Compute source and destination addresses |
| 2109 | int x = get_global_id(0) * 4; |
| 2110 | int y = get_global_id(1); |
| 2111 | int z = get_global_id(2); |
| 2112 | |
Michalis Spyrou | 51146c5 | 2019-07-12 14:42:29 +0100 | [diff] [blame] | 2113 | __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * sizeof(int) + y * src_stride_y + z * src_stride_z; |
Manuel Bottini | 9c9b70b | 2019-07-01 17:35:56 +0100 | [diff] [blame] | 2114 | |
Michalis Spyrou | 51146c5 | 2019-07-12 14:42:29 +0100 | [diff] [blame] | 2115 | __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x * 2 + y * dst_stride_y + z * dst_stride_z; |
Manuel Bottini | 9c9b70b | 2019-07-01 17:35:56 +0100 | [diff] [blame] | 2116 | |
| 2117 | int4 input_values = vload4(0, (__global int *)src_addr); |
| 2118 | |
| 2119 | #if defined(ADD_BIAS) |
| 2120 | // Add bias |
Michalis Spyrou | 51146c5 | 2019-07-12 14:42:29 +0100 | [diff] [blame] | 2121 | __global uchar *bias_addr = biases_ptr + biases_offset_first_element_in_bytes + x * sizeof(int); |
Manuel Bottini | 9c9b70b | 2019-07-01 17:35:56 +0100 | [diff] [blame] | 2122 | |
| 2123 | int4 biases_values = vload4(0, (__global int *)bias_addr); |
| 2124 | input_values += (int4)biases_values; |
| 2125 | #endif // defined(ADD_BIAS) |
| 2126 | |
| 2127 | // Multiply by result_mult_int and shift |
Manuel Bottini | 0726398 | 2019-10-17 18:37:26 +0100 | [diff] [blame] | 2128 | #if RESULT_SHIFT < 0 |
Michele Di Giorgio | 14cbfb2 | 2019-10-23 10:53:10 +0100 | [diff] [blame] | 2129 | input_values = ASYMM_MULT_BY_QUANT_MULTIPLIER_GREATER_THAN_ONE(input_values, RESULT_FIXEDPOINT_MULTIPLIER, RESULT_SHIFT, 4); |
Vidhya Sudhan Loganathan | 951b8a4 | 2019-11-04 14:42:08 +0000 | [diff] [blame] | 2130 | #else // RESULT_SHIFT >= 0 |
Manuel Bottini | 9c9b70b | 2019-07-01 17:35:56 +0100 | [diff] [blame] | 2131 | input_values = ASYMM_MULT_BY_QUANT_MULTIPLIER_LESS_THAN_ONE(input_values, RESULT_FIXEDPOINT_MULTIPLIER, RESULT_SHIFT, 4); |
Manuel Bottini | 0726398 | 2019-10-17 18:37:26 +0100 | [diff] [blame] | 2132 | #endif // RESULT_SHIFT < 0 |
Manuel Bottini | 9c9b70b | 2019-07-01 17:35:56 +0100 | [diff] [blame] | 2133 | |
| 2134 | short4 res = convert_short4_sat(input_values); |
| 2135 | |
| 2136 | #if defined(MIN_BOUND) |
| 2137 | res = max(res, (short4)MIN_BOUND); |
| 2138 | #endif // defined(MIN_BOUND) |
| 2139 | #if defined(MAX_BOUND) |
| 2140 | res = min(res, (short4)MAX_BOUND); |
| 2141 | #endif // defined(MAX_BOUND) |
| 2142 | |
| 2143 | // Store the result |
Michalis Spyrou | 51146c5 | 2019-07-12 14:42:29 +0100 | [diff] [blame] | 2144 | vstore4(res, 0, (__global short *)dst_addr); |
Manuel Bottini | 9c9b70b | 2019-07-01 17:35:56 +0100 | [diff] [blame] | 2145 | } |
| 2146 | #endif // defined(RESULT_FIXEDPOINT_MULTIPLIER) && defined(RESULT_SHIFT) |
| 2147 | |
Georgios Pinitas | 51e53a3 | 2018-10-22 13:49:08 +0100 | [diff] [blame] | 2148 | #if defined(REAL_MULTIPLIER) && defined(OUTPUT_OFFSET) |
Sheri Zhang | 1b14c75 | 2020-03-09 14:29:52 +0000 | [diff] [blame] | 2149 | /** This OpenCL kernel is used to quantize down the int32 accumulator values of GEMMLowp to QASYMM8/QASYMM8_SIGNED |
Georgios Pinitas | 51e53a3 | 2018-10-22 13:49:08 +0100 | [diff] [blame] | 2150 | * |
Sheri Zhang | 1b14c75 | 2020-03-09 14:29:52 +0000 | [diff] [blame] | 2151 | * This kernel takes a final int32 accumulator value (the output of matrix multiplication), and processes it to obtain the final QASYMM8/QASYMM8_SIGNED value. |
Georgios Pinitas | 51e53a3 | 2018-10-22 13:49:08 +0100 | [diff] [blame] | 2152 | * The following computations will be performed by the kernel: |
| 2153 | * |
| 2154 | * -# Compute fixed point multiplication between each entry of input by result_fixedpoint_multiplier |
| 2155 | * -# Add bias to final result if bias tensor is not a nullptr |
| 2156 | * -# Requantize |
| 2157 | * -# Add offset to each result |
| 2158 | * -# Clamp the value between the specified min and max bounds |
Sheri Zhang | 1b14c75 | 2020-03-09 14:29:52 +0000 | [diff] [blame] | 2159 | * -# Clamp the resulting int32 values: |
| 2160 | * - to the [0..255] range and cast to QASYMM8. |
| 2161 | * - to the [-128..127] range and cast to QASYMM8_SIGNED. |
Georgios Pinitas | 51e53a3 | 2018-10-22 13:49:08 +0100 | [diff] [blame] | 2162 | * |
| 2163 | * @attention The offset and scalar scale factor must be passed at compile time using -DRESULT_OFFSET, -DREAL_MULTIPLIER |
| 2164 | * |
| 2165 | * @note In case the addition of int32 biases is required, -DADD_BIAS should be passed at compile time |
Sheri Zhang | 1b14c75 | 2020-03-09 14:29:52 +0000 | [diff] [blame] | 2166 | * @note The output datatype should be passed at compile time using -DOUTPUT_DATA_TYPE |
Georgios Pinitas | 51e53a3 | 2018-10-22 13:49:08 +0100 | [diff] [blame] | 2167 | * @note In case the clamping of the result is required, the min and max bounds can be passed at compile time using -DMIN_BOUND and -DMAX_BOUND. |
| 2168 | * These values can be used to implement "rectified linear unit" activation functions |
| 2169 | * |
| 2170 | * @param[in] src_ptr Pointer to the source tensor. Supported data type: S32 |
| 2171 | * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| 2172 | * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| 2173 | * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| 2174 | * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| 2175 | * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 2176 | * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| 2177 | * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| 2178 | * @param[in] biases_ptr Pointer to the biases tensor. Supported data type: same as @p src_ptr |
| 2179 | * @param[in] biases_stride_x Stride of the biases tensor in X dimension (in bytes) |
| 2180 | * @param[in] biases_step_x biases_stride_x * number of elements along X processed per workitem(in bytes) |
| 2181 | * @param[in] biases_offset_first_element_in_bytes The offset of the first element in the biases tensor |
| 2182 | * @param[out] dst_ptr Pointer to the destination tensor Supported data type: QASYMM8 |
| 2183 | * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 2184 | * @param[in] dst_step_x dst_gx_stride_x * number of elements along X processed per workitem(in bytes) |
| 2185 | * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 2186 | * @param[in] dst_step_y dst_gx_stride_y * number of elements along Y processed per workitem(in bytes) |
| 2187 | * @param[in] dst_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 2188 | * @param[in] dst_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| 2189 | * @param[in] dst_stride_w Stride of the source tensor in W dimension (in bytes) |
| 2190 | * @param[in] dst_step_w src_stride_w * number of elements along W processed per workitem(in bytes) |
| 2191 | * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| 2192 | */ |
| 2193 | __kernel void gemmlowp_output_stage_quantize_down_float(TENSOR3D_DECLARATION(src), |
| 2194 | #if defined(ADD_BIAS) |
| 2195 | VECTOR_DECLARATION(biases), |
| 2196 | #endif // defined(ADD_BIAS) |
| 2197 | #if defined(DST_HEIGHT) |
| 2198 | TENSOR4D_DECLARATION(dst)) |
| 2199 | #else // defined(DST_HEIGHT) |
| 2200 | TENSOR3D_DECLARATION(dst)) |
| 2201 | #endif // defined(DST_HEIGHT) |
| 2202 | { |
| 2203 | // Compute source and destination addresses |
Gian Marco Iodice | 0c54a62 | 2018-10-30 12:20:03 +0000 | [diff] [blame] | 2204 | int x = get_global_id(0) * 4; |
| 2205 | int y = get_global_id(1); |
| 2206 | int z = get_global_id(2); |
Georgios Pinitas | 51e53a3 | 2018-10-22 13:49:08 +0100 | [diff] [blame] | 2207 | |
Gian Marco Iodice | 0c54a62 | 2018-10-30 12:20:03 +0000 | [diff] [blame] | 2208 | __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * sizeof(int) + y * src_stride_y + z * src_stride_z; |
Georgios Pinitas | 51e53a3 | 2018-10-22 13:49:08 +0100 | [diff] [blame] | 2209 | |
Gian Marco Iodice | 0c54a62 | 2018-10-30 12:20:03 +0000 | [diff] [blame] | 2210 | __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x + y * dst_stride_y + z * dst_stride_z; |
| 2211 | |
| 2212 | int4 input_values = vload4(0, (__global int *)src_addr); |
Georgios Pinitas | 51e53a3 | 2018-10-22 13:49:08 +0100 | [diff] [blame] | 2213 | |
| 2214 | #if defined(ADD_BIAS) |
| 2215 | // Add bias |
Gian Marco Iodice | 0c54a62 | 2018-10-30 12:20:03 +0000 | [diff] [blame] | 2216 | __global uchar *bias_addr = biases_ptr + biases_offset_first_element_in_bytes + x * sizeof(int); |
| 2217 | |
| 2218 | int4 biases_values = vload4(0, (__global int *)bias_addr); |
| 2219 | input_values += (int4)biases_values; |
Georgios Pinitas | 51e53a3 | 2018-10-22 13:49:08 +0100 | [diff] [blame] | 2220 | #endif // defined(ADD_BIAS) |
| 2221 | |
| 2222 | // Convert to float |
Sheri Zhang | 1b14c75 | 2020-03-09 14:29:52 +0000 | [diff] [blame] | 2223 | float4 input_values_f = convert_float4(input_values); |
| 2224 | input_values_f = round(input_values_f * (float)REAL_MULTIPLIER + (float)OUTPUT_OFFSET); |
Georgios Pinitas | 51e53a3 | 2018-10-22 13:49:08 +0100 | [diff] [blame] | 2225 | |
Sheri Zhang | 1b14c75 | 2020-03-09 14:29:52 +0000 | [diff] [blame] | 2226 | VEC_DATA_TYPE(OUTPUT_DATA_TYPE, 4) |
| 2227 | res = CONVERT_SAT(input_values_f, VEC_DATA_TYPE(OUTPUT_DATA_TYPE, 4)); |
Georgios Pinitas | 51e53a3 | 2018-10-22 13:49:08 +0100 | [diff] [blame] | 2228 | |
| 2229 | #if defined(MIN_BOUND) |
Sheri Zhang | 1b14c75 | 2020-03-09 14:29:52 +0000 | [diff] [blame] | 2230 | res = max(res, (VEC_DATA_TYPE(OUTPUT_DATA_TYPE, 4))MIN_BOUND); |
Georgios Pinitas | 51e53a3 | 2018-10-22 13:49:08 +0100 | [diff] [blame] | 2231 | #endif // defined(MIN_BOUND) |
| 2232 | #if defined(MAX_BOUND) |
Sheri Zhang | 1b14c75 | 2020-03-09 14:29:52 +0000 | [diff] [blame] | 2233 | res = min(res, (VEC_DATA_TYPE(OUTPUT_DATA_TYPE, 4))MAX_BOUND); |
Georgios Pinitas | 51e53a3 | 2018-10-22 13:49:08 +0100 | [diff] [blame] | 2234 | #endif // defined(MAX_BOUND) |
| 2235 | |
| 2236 | // Store the result |
Sheri Zhang | 1b14c75 | 2020-03-09 14:29:52 +0000 | [diff] [blame] | 2237 | vstore4(res, 0, (__global OUTPUT_DATA_TYPE *)dst_addr); |
Georgios Pinitas | 51e53a3 | 2018-10-22 13:49:08 +0100 | [diff] [blame] | 2238 | } |
Gian Marco Iodice | 27423f0 | 2020-08-12 14:12:28 +0100 | [diff] [blame] | 2239 | #endif // defined(REAL_MULTIPLIER) && defined(OUTPUT_OFFSET) |