Gian Marco Iodice | 352c07d | 2023-05-03 12:21:38 +0100 | [diff] [blame^] | 1 | /* |
| 2 | * Copyright (c) 2023 Arm Limited. |
| 3 | * |
| 4 | * SPDX-License-Identifier: MIT |
| 5 | * |
| 6 | * Permission is hereby granted, free of charge, to any person obtaining a copy |
| 7 | * of this software and associated documentation files (the "Software"), to |
| 8 | * deal in the Software without restriction, including without limitation the |
| 9 | * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| 10 | * sell copies of the Software, and to permit persons to whom the Software is |
| 11 | * furnished to do so, subject to the following conditions: |
| 12 | * |
| 13 | * The above copyright notice and this permission notice shall be included in all |
| 14 | * copies or substantial portions of the Software. |
| 15 | * |
| 16 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| 17 | * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| 18 | * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| 19 | * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| 20 | * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| 21 | * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 22 | * SOFTWARE. |
| 23 | */ |
| 24 | #include "src/runtime/heuristics/matmul_native/ClMatMulNativeDefaultConfigValhall.h" |
| 25 | |
| 26 | #include "arm_compute/core/CL/CLHelpers.h" |
| 27 | #include "arm_compute/core/CL/CLKernelLibrary.h" |
| 28 | #include "arm_compute/core/GPUTarget.h" |
| 29 | #include "arm_compute/core/KernelDescriptors.h" |
| 30 | #include "arm_compute/core/TensorInfo.h" |
| 31 | #include "src/gpu/cl/kernels/ClMatMulNativeKernel.h" |
| 32 | #include <utility> |
| 33 | |
| 34 | #include "src/runtime/heuristics/matmul_native/ClMatMulNativeHelpers.h" |
| 35 | |
| 36 | namespace arm_compute |
| 37 | { |
| 38 | namespace cl_matmul |
| 39 | { |
| 40 | ClMatMulNativeDefaultConfigValhall::ClMatMulNativeDefaultConfigValhall(GPUTarget gpu) |
| 41 | : IClMatMulNativeKernelConfig(gpu) |
| 42 | { |
| 43 | } |
| 44 | |
| 45 | MatMulKernelInfo ClMatMulNativeDefaultConfigValhall::configure(const ITensorInfo *lhs, const ITensorInfo *rhs, const MatMulInfo &info) |
| 46 | { |
| 47 | using ConfigurationFunctionExecutorPtr = MatMulKernelInfo (ClMatMulNativeDefaultConfigValhall::*)(unsigned int m, unsigned int n, unsigned int k, unsigned int b, bool rhs_lock_padding, const MatMulInfo & info); |
| 48 | |
| 49 | ClMatMulNativeConfigArray<ConfigurationFunctionExecutorPtr> configs_G710(&ClMatMulNativeDefaultConfigValhall::configure_G710_f32, |
| 50 | &ClMatMulNativeDefaultConfigValhall::configure_G710_f16, |
| 51 | &ClMatMulNativeDefaultConfigValhall::configure_G710_u8); |
| 52 | |
| 53 | ConfigurationFunctionExecutorPtr func = nullptr; |
| 54 | switch(_target) |
| 55 | { |
| 56 | case GPUTarget::G710: |
| 57 | default: |
| 58 | func = configs_G710.get_function(lhs->data_type()); |
| 59 | break; |
| 60 | } |
| 61 | |
| 62 | const bool adj_lhs = info.adj_lhs(); |
| 63 | const bool adj_rhs = info.adj_rhs(); |
| 64 | |
| 65 | TensorShape lhs_shape = lhs->tensor_shape(); |
| 66 | TensorShape rhs_shape = rhs->tensor_shape(); |
| 67 | |
| 68 | const bool is_batched = lhs_shape.num_dimensions() > 2; |
| 69 | |
| 70 | if(is_batched == true) |
| 71 | { |
| 72 | lhs_shape.collapse_from(2); |
| 73 | } |
| 74 | |
| 75 | const unsigned int m = adj_lhs ? lhs_shape.x() : lhs_shape.y(); |
| 76 | const unsigned int n = adj_rhs ? rhs_shape.y() : rhs_shape.x(); |
| 77 | const unsigned int k = adj_lhs ? lhs_shape.y() : lhs_shape.x(); |
| 78 | const unsigned int b = lhs_shape.z(); |
| 79 | |
| 80 | ARM_COMPUTE_ERROR_ON_MSG(func == nullptr, "Data type not supported for matmul native"); |
| 81 | return (this->*func)(m, n, k, b, rhs->lock_paddings(), info); |
| 82 | } |
| 83 | |
| 84 | MatMulKernelInfo ClMatMulNativeDefaultConfigValhall::configure_G710_f32(unsigned int m, unsigned int n, unsigned int k, unsigned int b, bool rhs_lock_padding, const MatMulInfo &info) |
| 85 | { |
| 86 | const MatMulNativeConfigsMatrix configs_mnkb_best_nt_nt = |
| 87 | { |
| 88 | { 3136, 64, 64, 36, 4, 4, 16, 1 }, |
| 89 | { 4096, 48, 32, 36, 4, 4, 4, 1 }, |
| 90 | { 688, 92, 68, 32, 2, 8, 4, 1 }, |
| 91 | { 24, 464, 412, 24, 2, 8, 4, 1 }, |
| 92 | { 112, 184, 144, 28, 4, 4, 16, 1 }, |
| 93 | { 5776, 64, 32, 36, 2, 4, 16, 1 }, |
| 94 | { 1568, 64, 40, 36, 2, 8, 8, 1 }, |
| 95 | { 2920, 64, 64, 24, 4, 4, 16, 1 } |
| 96 | }; |
| 97 | |
| 98 | const MatMulNativeConfigsMatrix configs_mnkb_fallback_nt_nt = |
| 99 | { |
| 100 | { 3136, 64, 64, 36, 4, 4, 8, 0 }, |
| 101 | { 4096, 48, 32, 36, 4, 4, 8, 0 }, |
| 102 | { 688, 92, 68, 32, 5, 4, 4, 0 }, |
| 103 | { 24, 464, 412, 24, 6, 2, 8, 0 }, |
| 104 | { 112, 184, 144, 28, 6, 4, 4, 0 }, |
| 105 | { 5776, 64, 32, 36, 5, 4, 4, 0 }, |
| 106 | { 1568, 64, 40, 36, 4, 4, 8, 0 }, |
| 107 | { 2920, 64, 64, 24, 4, 4, 8, 0 } |
| 108 | }; |
| 109 | |
| 110 | const MatMulNativeConfigsMatrix configs_mnkb_best_nt_t = |
| 111 | { |
| 112 | { 3136, 64, 64, 36, 4, 4, 4, 1 }, |
| 113 | { 4096, 48, 32, 36, 2, 2, 16, 1 }, |
| 114 | { 688, 92, 68, 32, 4, 4, 4, 1 }, |
| 115 | { 24, 464, 412, 24, 6, 2, 8, 1 }, |
| 116 | { 112, 184, 144, 28, 4, 2, 16, 1 }, |
| 117 | { 5776, 64, 32, 36, 4, 4, 4, 1 }, |
| 118 | { 1568, 64, 40, 36, 4, 4, 8, 1 }, |
| 119 | { 2920, 64, 64, 24, 4, 4, 4, 1 } |
| 120 | }; |
| 121 | |
| 122 | const MatMulNativeConfigsMatrix configs_mnkb_fallback_nt_t = |
| 123 | { |
| 124 | { 3136, 64, 64, 36, 5, 4, 4, 0 }, |
| 125 | { 4096, 48, 32, 36, 5, 4, 4, 0 }, |
| 126 | { 688, 92, 68, 32, 5, 4, 4, 0 }, |
| 127 | { 24, 464, 412, 24, 6, 2, 4, 0 }, |
| 128 | { 112, 184, 144, 28, 5, 4, 4, 0 }, |
| 129 | { 5776, 64, 32, 36, 5, 4, 4, 0 }, |
| 130 | { 1568, 64, 40, 36, 5, 4, 4, 0 }, |
| 131 | { 2920, 64, 64, 24, 6, 2, 4, 0 } |
| 132 | }; |
| 133 | |
| 134 | const MatMulNativeConfigsMatrix configs_mnkb_best_t_nt = |
| 135 | { |
| 136 | { 3136, 64, 64, 36, 4, 4, 16, 1 }, |
| 137 | { 4096, 48, 32, 36, 4, 4, 4, 1 }, |
| 138 | { 688, 92, 68, 32, 2, 8, 4, 1 }, |
| 139 | { 24, 464, 412, 24, 2, 8, 4, 1 }, |
| 140 | { 112, 184, 144, 28, 4, 4, 16, 1 }, |
| 141 | { 5776, 64, 32, 36, 2, 8, 8, 1 }, |
| 142 | { 1568, 64, 40, 36, 4, 4, 8, 1 }, |
| 143 | { 2920, 64, 64, 24, 4, 4, 16, 1 } |
| 144 | }; |
| 145 | |
| 146 | const MatMulNativeConfigsMatrix configs_mnkb_fallback_t_nt = |
| 147 | { |
| 148 | { 3136, 64, 64, 36, 4, 4, 4, 0 }, |
| 149 | { 4096, 48, 32, 36, 4, 4, 4, 0 }, |
| 150 | { 688, 92, 68, 32, 4, 4, 4, 0 }, |
| 151 | { 24, 464, 412, 24, 4, 4, 4, 0 }, |
| 152 | { 112, 184, 144, 28, 4, 4, 4, 0 }, |
| 153 | { 5776, 64, 32, 36, 4, 4, 8, 0 }, |
| 154 | { 1568, 64, 40, 36, 4, 4, 4, 0 }, |
| 155 | { 2920, 64, 64, 24, 4, 4, 4, 0 } |
| 156 | }; |
| 157 | |
| 158 | const MatMulNativeConfigsMatrix configs_mnkb_best_t_t = |
| 159 | { |
| 160 | { 3136, 64, 64, 36, 4, 4, 4, 1 }, |
| 161 | { 4096, 48, 32, 36, 4, 4, 4, 1 }, |
| 162 | { 688, 92, 68, 32, 4, 4, 4, 1 }, |
| 163 | { 24, 464, 412, 24, 2, 2, 16, 1 }, |
| 164 | { 112, 184, 144, 28, 4, 4, 4, 1 }, |
| 165 | { 5776, 64, 32, 36, 4, 4, 4, 1 }, |
| 166 | { 1568, 64, 40, 36, 4, 4, 4, 1 }, |
| 167 | { 2920, 64, 64, 24, 4, 4, 4, 1 } |
| 168 | }; |
| 169 | |
| 170 | const MatMulNativeConfigsMatrix configs_mnkb_fallback_t_t = |
| 171 | { |
| 172 | { 3136, 64, 64, 36, 4, 4, 4, 0 }, |
| 173 | { 4096, 48, 32, 36, 4, 4, 4, 0 }, |
| 174 | { 688, 92, 68, 32, 4, 4, 4, 0 }, |
| 175 | { 24, 464, 412, 24, 4, 2, 8, 0 }, |
| 176 | { 112, 184, 144, 28, 4, 4, 4, 0 }, |
| 177 | { 5776, 64, 32, 36, 4, 4, 4, 0 }, |
| 178 | { 1568, 64, 40, 36, 4, 4, 4, 0 }, |
| 179 | { 2920, 64, 64, 24, 4, 4, 4, 0 } |
| 180 | }; |
| 181 | |
| 182 | const bool adj_lhs = info.adj_lhs(); |
| 183 | const bool adj_rhs = info.adj_rhs(); |
| 184 | |
| 185 | const MatMulNativeConfigsMatrix *configs_best_to_use = nullptr; |
| 186 | const MatMulNativeConfigsMatrix *configs_fallback_to_use = nullptr; |
| 187 | |
| 188 | if((adj_lhs == false) && (adj_rhs == false)) |
| 189 | { |
| 190 | configs_best_to_use = &configs_mnkb_best_nt_nt; |
| 191 | configs_fallback_to_use = &configs_mnkb_fallback_nt_nt; |
| 192 | } |
| 193 | else if((adj_lhs == false) && (adj_rhs == true)) |
| 194 | { |
| 195 | configs_best_to_use = &configs_mnkb_best_nt_t; |
| 196 | configs_fallback_to_use = &configs_mnkb_fallback_nt_t; |
| 197 | } |
| 198 | else if((adj_lhs == true) && (adj_rhs == false)) |
| 199 | { |
| 200 | configs_best_to_use = &configs_mnkb_best_t_nt; |
| 201 | configs_fallback_to_use = &configs_mnkb_fallback_t_nt; |
| 202 | } |
| 203 | else |
| 204 | { |
| 205 | configs_best_to_use = &configs_mnkb_best_t_t; |
| 206 | configs_fallback_to_use = &configs_mnkb_fallback_t_t; |
| 207 | } |
| 208 | |
| 209 | MatMulKernelInfo desc0 = find_info(*configs_best_to_use, adj_lhs, adj_rhs, m, n, k, b); |
| 210 | MatMulKernelInfo desc1 = find_info(*configs_fallback_to_use, adj_lhs, adj_rhs, m, n, k, b); |
| 211 | |
| 212 | return select_info(desc0, |
| 213 | desc1, |
| 214 | m, n, k, b, DataType::F32, rhs_lock_padding); |
| 215 | } |
| 216 | |
| 217 | MatMulKernelInfo ClMatMulNativeDefaultConfigValhall::configure_G710_f16(unsigned int m, unsigned int n, unsigned int k, unsigned int b, bool rhs_lock_padding, const MatMulInfo &info) |
| 218 | { |
| 219 | const MatMulNativeConfigsMatrix configs_mnkb_best_nt_nt = |
| 220 | { |
| 221 | { 3136, 64, 64, 36, 4, 4, 16, 1 }, |
| 222 | { 4096, 48, 32, 36, 4, 4, 8, 1 }, |
| 223 | { 688, 92, 68, 32, 4, 4, 16, 1 }, |
| 224 | { 24, 464, 412, 24, 4, 4, 4, 1 }, |
| 225 | { 112, 184, 144, 28, 4, 4, 16, 1 }, |
| 226 | { 5776, 64, 32, 36, 4, 4, 8, 1 }, |
| 227 | { 1568, 64, 40, 36, 4, 4, 8, 1 }, |
| 228 | { 2920, 64, 64, 24, 4, 4, 16, 1 } |
| 229 | }; |
| 230 | |
| 231 | const MatMulNativeConfigsMatrix configs_mnkb_fallback_nt_nt = |
| 232 | { |
| 233 | { 3136, 64, 64, 36, 6, 4, 8, 0 }, |
| 234 | { 4096, 48, 32, 36, 6, 4, 8, 0 }, |
| 235 | { 688, 92, 68, 32, 6, 4, 8, 0 }, |
| 236 | { 24, 464, 412, 24, 4, 4, 8, 0 }, |
| 237 | { 112, 184, 144, 28, 6, 4, 8, 0 }, |
| 238 | { 5776, 64, 32, 36, 6, 4, 8, 0 }, |
| 239 | { 1568, 64, 40, 36, 6, 4, 8, 0 }, |
| 240 | { 2920, 64, 64, 24, 6, 4, 8, 0 } |
| 241 | }; |
| 242 | |
| 243 | const MatMulNativeConfigsMatrix configs_mnkb_best_nt_t = |
| 244 | { |
| 245 | { 3136, 64, 64, 36, 6, 4, 8, 1 }, |
| 246 | { 4096, 48, 32, 36, 6, 4, 8, 1 }, |
| 247 | { 688, 92, 68, 32, 4, 4, 4, 1 }, |
| 248 | { 24, 464, 412, 24, 6, 2, 4, 1 }, |
| 249 | { 112, 184, 144, 28, 4, 2, 16, 1 }, |
| 250 | { 5776, 64, 32, 36, 6, 4, 8, 1 }, |
| 251 | { 1568, 64, 40, 36, 6, 4, 8, 1 }, |
| 252 | { 2920, 64, 64, 24, 6, 4, 8, 1 } |
| 253 | }; |
| 254 | |
| 255 | const MatMulNativeConfigsMatrix configs_mnkb_fallback_nt_t = |
| 256 | { |
| 257 | { 3136, 64, 64, 36, 6, 2, 16, 0 }, |
| 258 | { 4096, 48, 32, 36, 5, 4, 8, 0 }, |
| 259 | { 688, 92, 68, 32, 6, 2, 16, 0 }, |
| 260 | { 24, 464, 412, 24, 6, 2, 16, 0 }, |
| 261 | { 112, 184, 144, 28, 6, 2, 16, 0 }, |
| 262 | { 5776, 64, 32, 36, 5, 4, 8, 0 }, |
| 263 | { 1568, 64, 40, 36, 5, 4, 8, 0 }, |
| 264 | { 2920, 64, 64, 24, 6, 2, 16, 0 } |
| 265 | }; |
| 266 | |
| 267 | const MatMulNativeConfigsMatrix configs_mnkb_best_t_nt = |
| 268 | { |
| 269 | { 3136, 64, 64, 36, 4, 4, 16, 1 }, |
| 270 | { 4096, 48, 32, 36, 4, 4, 4, 1 }, |
| 271 | { 688, 92, 68, 32, 4, 4, 4, 1 }, |
| 272 | { 24, 464, 412, 24, 4, 4, 4, 1 }, |
| 273 | { 112, 184, 144, 28, 4, 4, 4, 1 }, |
| 274 | { 5776, 64, 32, 36, 4, 4, 4, 1 }, |
| 275 | { 1568, 64, 40, 36, 4, 4, 4, 1 }, |
| 276 | { 2920, 64, 64, 24, 4, 4, 4, 1 } |
| 277 | }; |
| 278 | |
| 279 | const MatMulNativeConfigsMatrix configs_mnkb_fallback_t_nt = |
| 280 | { |
| 281 | { 3136, 64, 64, 36, 4, 4, 4, 0 }, |
| 282 | { 4096, 48, 32, 36, 4, 4, 4, 0 }, |
| 283 | { 688, 92, 68, 32, 4, 4, 4, 0 }, |
| 284 | { 24, 464, 412, 24, 4, 4, 4, 0 }, |
| 285 | { 112, 184, 144, 28, 4, 4, 4, 0 }, |
| 286 | { 5776, 64, 32, 36, 4, 4, 4, 0 }, |
| 287 | { 1568, 64, 40, 36, 4, 4, 4, 0 }, |
| 288 | { 2920, 64, 64, 24, 4, 4, 4, 0 } |
| 289 | }; |
| 290 | |
| 291 | const MatMulNativeConfigsMatrix configs_mnkb_best_t_t = |
| 292 | { |
| 293 | { 3136, 64, 64, 36, 4, 4, 16, 1 }, |
| 294 | { 4096, 48, 32, 36, 4, 4, 8, 1 }, |
| 295 | { 688, 92, 68, 32, 4, 4, 4, 1 }, |
| 296 | { 24, 464, 412, 24, 4, 2, 8, 1 }, |
| 297 | { 112, 184, 144, 28, 4, 2, 16, 1 }, |
| 298 | { 5776, 64, 32, 36, 4, 4, 16, 1 }, |
| 299 | { 1568, 64, 40, 36, 4, 4, 8, 1 }, |
| 300 | { 2920, 64, 64, 24, 4, 4, 16, 1 } |
| 301 | }; |
| 302 | |
| 303 | const MatMulNativeConfigsMatrix configs_mnkb_fallback_t_t = |
| 304 | { |
| 305 | { 3136, 64, 64, 36, 4, 4, 8, 0 }, |
| 306 | { 4096, 48, 32, 36, 4, 4, 8, 0 }, |
| 307 | { 688, 92, 68, 32, 4, 4, 8, 0 }, |
| 308 | { 24, 464, 412, 24, 4, 4, 8, 0 }, |
| 309 | { 112, 184, 144, 28, 4, 4, 8, 0 }, |
| 310 | { 5776, 64, 32, 36, 4, 4, 8, 0 }, |
| 311 | { 1568, 64, 40, 36, 4, 4, 8, 0 }, |
| 312 | { 2920, 64, 64, 24, 4, 4, 8, 0 } |
| 313 | }; |
| 314 | |
| 315 | const bool adj_lhs = info.adj_lhs(); |
| 316 | const bool adj_rhs = info.adj_rhs(); |
| 317 | |
| 318 | const MatMulNativeConfigsMatrix *configs_best_to_use = nullptr; |
| 319 | const MatMulNativeConfigsMatrix *configs_fallback_to_use = nullptr; |
| 320 | |
| 321 | if((adj_lhs == false) && (adj_rhs == false)) |
| 322 | { |
| 323 | configs_best_to_use = &configs_mnkb_best_nt_nt; |
| 324 | configs_fallback_to_use = &configs_mnkb_fallback_nt_nt; |
| 325 | } |
| 326 | else if((adj_lhs == false) && (adj_rhs == true)) |
| 327 | { |
| 328 | configs_best_to_use = &configs_mnkb_best_nt_t; |
| 329 | configs_fallback_to_use = &configs_mnkb_fallback_nt_t; |
| 330 | } |
| 331 | else if((adj_lhs == true) && (adj_rhs == false)) |
| 332 | { |
| 333 | configs_best_to_use = &configs_mnkb_best_t_nt; |
| 334 | configs_fallback_to_use = &configs_mnkb_fallback_t_nt; |
| 335 | } |
| 336 | else |
| 337 | { |
| 338 | configs_best_to_use = &configs_mnkb_best_t_t; |
| 339 | configs_fallback_to_use = &configs_mnkb_fallback_t_t; |
| 340 | } |
| 341 | |
| 342 | MatMulKernelInfo desc0 = find_info(*configs_best_to_use, adj_lhs, adj_rhs, m, n, k, b); |
| 343 | MatMulKernelInfo desc1 = find_info(*configs_fallback_to_use, adj_lhs, adj_rhs, m, n, k, b); |
| 344 | |
| 345 | return select_info(desc0, |
| 346 | desc1, |
| 347 | m, n, k, b, DataType::F16, rhs_lock_padding); |
| 348 | } |
| 349 | |
| 350 | MatMulKernelInfo ClMatMulNativeDefaultConfigValhall::configure_G710_u8(unsigned int m, unsigned int n, unsigned int k, unsigned int b, bool rhs_lock_padding, const MatMulInfo &info) |
| 351 | { |
| 352 | ARM_COMPUTE_UNUSED(rhs_lock_padding); |
| 353 | |
| 354 | const MatMulNativeConfigsMatrix configs_mnkb_best_nt_nt = |
| 355 | { |
| 356 | { 3136, 64, 64, 36, 6, 4, 4, 0 }, |
| 357 | { 4096, 48, 32, 36, 6, 4, 4, 0 }, |
| 358 | { 688, 92, 68, 32, 2, 8, 4, 0 }, |
| 359 | { 24, 464, 412, 24, 4, 4, 4, 0 }, |
| 360 | { 112, 184, 144, 28, 6, 4, 4, 0 }, |
| 361 | { 5776, 64, 32, 36, 6, 4, 4, 0 }, |
| 362 | { 1568, 64, 40, 36, 6, 4, 4, 0 }, |
| 363 | { 2920, 64, 64, 24, 5, 4, 4, 0 } |
| 364 | }; |
| 365 | |
| 366 | const MatMulNativeConfigsMatrix configs_mnkb_best_nt_t = |
| 367 | { |
| 368 | { 3136, 64, 64, 36, 4, 4, 16, 0 }, |
| 369 | { 4096, 48, 32, 36, 4, 4, 16, 0 }, |
| 370 | { 688, 92, 68, 32, 4, 4, 16, 0 }, |
| 371 | { 24, 464, 412, 24, 6, 2, 16, 0 }, |
| 372 | { 112, 184, 144, 28, 4, 4, 16, 0 }, |
| 373 | { 5776, 64, 32, 36, 4, 4, 16, 0 }, |
| 374 | { 1568, 64, 40, 36, 6, 4, 4, 0 }, |
| 375 | { 2920, 64, 64, 24, 4, 4, 16, 0 } |
| 376 | }; |
| 377 | |
| 378 | const MatMulNativeConfigsMatrix configs_mnkb_best_t_nt = |
| 379 | { |
| 380 | { 3136, 64, 64, 36, 4, 4, 8, 0 }, |
| 381 | { 4096, 48, 32, 36, 4, 4, 8, 0 }, |
| 382 | { 688, 92, 68, 32, 4, 4, 4, 0 }, |
| 383 | { 24, 464, 412, 24, 4, 4, 4, 0 }, |
| 384 | { 112, 184, 144, 28, 4, 4, 8, 0 }, |
| 385 | { 5776, 64, 32, 36, 4, 4, 8, 0 }, |
| 386 | { 1568, 64, 40, 36, 4, 4, 8, 0 }, |
| 387 | { 2920, 64, 64, 24, 4, 4, 8, 0 } |
| 388 | }; |
| 389 | |
| 390 | const MatMulNativeConfigsMatrix configs_mnkb_best_t_t = |
| 391 | { |
| 392 | { 3136, 64, 64, 36, 4, 2, 16, 0 }, |
| 393 | { 4096, 48, 32, 36, 4, 4, 4, 0 }, |
| 394 | { 688, 92, 68, 32, 4, 4, 8, 0 }, |
| 395 | { 24, 464, 412, 24, 4, 2, 16, 0 }, |
| 396 | { 112, 184, 144, 28, 4, 2, 16, 0 }, |
| 397 | { 5776, 64, 32, 36, 4, 4, 4, 0 }, |
| 398 | { 1568, 64, 40, 36, 4, 4, 8, 0 }, |
| 399 | { 2920, 64, 64, 24, 4, 2, 16, 0 } |
| 400 | }; |
| 401 | |
| 402 | const bool adj_lhs = info.adj_lhs(); |
| 403 | const bool adj_rhs = info.adj_rhs(); |
| 404 | |
| 405 | if((adj_lhs == false) && (adj_rhs == false)) |
| 406 | { |
| 407 | return find_info(configs_mnkb_best_nt_nt, adj_lhs, adj_rhs, m, n, k, b); |
| 408 | } |
| 409 | else if((adj_lhs == false) && (adj_rhs == true)) |
| 410 | { |
| 411 | return find_info(configs_mnkb_best_nt_t, adj_lhs, adj_rhs, m, n, k, b); |
| 412 | } |
| 413 | else if((adj_lhs == true) && (adj_rhs == false)) |
| 414 | { |
| 415 | return find_info(configs_mnkb_best_t_nt, adj_lhs, adj_rhs, m, n, k, b); |
| 416 | } |
| 417 | else |
| 418 | { |
| 419 | return find_info(configs_mnkb_best_t_t, adj_lhs, adj_rhs, m, n, k, b); |
| 420 | } |
| 421 | } |
| 422 | } // namespace opencl |
| 423 | } // namespace arm_compute |