Marat Dukhan | e252f92 | 2021-08-31 08:57:41 -0700 | [diff] [blame] | 1 | // Copyright 2021 Google LLC |
| 2 | // |
| 3 | // This source code is licensed under the BSD-style license found in the |
| 4 | // LICENSE file in the root directory of this source tree. |
| 5 | |
| 6 | #include <xnnpack.h> |
| 7 | |
| 8 | #include <array> |
| 9 | #include <algorithm> |
| 10 | #include <functional> |
| 11 | #include <iostream> |
| 12 | #include <limits> |
| 13 | #include <random> |
| 14 | |
| 15 | #include "models/models.h" |
| 16 | |
| 17 | namespace models { |
| 18 | |
| 19 | ExecutionPlan QC8MobileNetV2(pthreadpool_t threadpool) { |
| 20 | alignas(16) static std::array<int8_t, 150528 + XNN_EXTRA_BYTES / sizeof(int8_t)> v0; |
| 21 | alignas(16) static std::array<int8_t, 401408> v1; |
| 22 | alignas(16) static std::array<int8_t, 401408> v2; |
| 23 | alignas(16) static std::array<int8_t, 200704> v3; |
| 24 | alignas(16) static std::array<int8_t, 1204224> v4; |
| 25 | alignas(16) static std::array<int8_t, 301056> v5; |
| 26 | alignas(16) static std::array<int8_t, 75264> v6; |
| 27 | alignas(16) static std::array<int8_t, 451584> v7; |
| 28 | alignas(16) static std::array<int8_t, 451584> v8; |
| 29 | alignas(16) static std::array<int8_t, 75264> v9; |
| 30 | alignas(16) static std::array<int8_t, 75264> v10; |
| 31 | alignas(16) static std::array<int8_t, 451584> v11; |
| 32 | alignas(16) static std::array<int8_t, 112896> v12; |
| 33 | alignas(16) static std::array<int8_t, 25088> v13; |
| 34 | alignas(16) static std::array<int8_t, 150528> v14; |
| 35 | alignas(16) static std::array<int8_t, 150528> v15; |
| 36 | alignas(16) static std::array<int8_t, 25088> v16; |
| 37 | alignas(16) static std::array<int8_t, 25088> v17; |
| 38 | alignas(16) static std::array<int8_t, 150528> v18; |
| 39 | alignas(16) static std::array<int8_t, 150528> v19; |
| 40 | alignas(16) static std::array<int8_t, 25088> v20; |
| 41 | alignas(16) static std::array<int8_t, 25088> v21; |
| 42 | alignas(16) static std::array<int8_t, 150528> v22; |
| 43 | alignas(16) static std::array<int8_t, 37632> v23; |
| 44 | alignas(16) static std::array<int8_t, 12544> v24; |
| 45 | alignas(16) static std::array<int8_t, 75264> v25; |
| 46 | alignas(16) static std::array<int8_t, 75264> v26; |
| 47 | alignas(16) static std::array<int8_t, 12544> v27; |
| 48 | alignas(16) static std::array<int8_t, 12544> v28; |
| 49 | alignas(16) static std::array<int8_t, 75264> v29; |
| 50 | alignas(16) static std::array<int8_t, 75264> v30; |
| 51 | alignas(16) static std::array<int8_t, 12544> v31; |
| 52 | alignas(16) static std::array<int8_t, 12544> v32; |
| 53 | alignas(16) static std::array<int8_t, 75264> v33; |
| 54 | alignas(16) static std::array<int8_t, 75264> v34; |
| 55 | alignas(16) static std::array<int8_t, 12544> v35; |
| 56 | alignas(16) static std::array<int8_t, 12544> v36; |
| 57 | alignas(16) static std::array<int8_t, 75264> v37; |
| 58 | alignas(16) static std::array<int8_t, 75264> v38; |
| 59 | alignas(16) static std::array<int8_t, 18816> v39; |
| 60 | alignas(16) static std::array<int8_t, 112896> v40; |
| 61 | alignas(16) static std::array<int8_t, 112896> v41; |
| 62 | alignas(16) static std::array<int8_t, 18816> v42; |
| 63 | alignas(16) static std::array<int8_t, 18816> v43; |
| 64 | alignas(16) static std::array<int8_t, 112896> v44; |
| 65 | alignas(16) static std::array<int8_t, 112896> v45; |
| 66 | alignas(16) static std::array<int8_t, 18816> v46; |
| 67 | alignas(16) static std::array<int8_t, 18816> v47; |
| 68 | alignas(16) static std::array<int8_t, 112896> v48; |
| 69 | alignas(16) static std::array<int8_t, 28224> v49; |
| 70 | alignas(16) static std::array<int8_t, 7840> v50; |
| 71 | alignas(16) static std::array<int8_t, 47040> v51; |
| 72 | alignas(16) static std::array<int8_t, 47040> v52; |
| 73 | alignas(16) static std::array<int8_t, 7840> v53; |
| 74 | alignas(16) static std::array<int8_t, 7840> v54; |
| 75 | alignas(16) static std::array<int8_t, 47040> v55; |
| 76 | alignas(16) static std::array<int8_t, 47040> v56; |
| 77 | alignas(16) static std::array<int8_t, 7840> v57; |
| 78 | alignas(16) static std::array<int8_t, 7840> v58; |
| 79 | alignas(16) static std::array<int8_t, 47040> v59; |
| 80 | alignas(16) static std::array<int8_t, 47040> v60; |
| 81 | alignas(16) static std::array<int8_t, 15680> v61; |
| 82 | alignas(16) static std::array<int8_t, 62720> v62; |
| 83 | alignas(16) static std::array<int8_t, 1280> v63; |
| 84 | alignas(16) static std::array<int8_t, 1001> v64; |
| 85 | alignas(16) static std::array<int8_t, 864> w65; |
| 86 | alignas(16) static std::array<float, 32> s65; |
| 87 | alignas(16) static std::array<int32_t, 32> w66; |
| 88 | alignas(16) static std::array<int8_t, 288> w67; |
| 89 | alignas(16) static std::array<float, 32> s67; |
| 90 | alignas(16) static std::array<int32_t, 32> w68; |
| 91 | alignas(16) static std::array<int8_t, 512> w69; |
| 92 | alignas(16) static std::array<float, 16> s69; |
| 93 | alignas(16) static std::array<int32_t, 16> w70; |
| 94 | alignas(16) static std::array<int8_t, 1536> w71; |
| 95 | alignas(16) static std::array<float, 96> s71; |
| 96 | alignas(16) static std::array<int32_t, 96> w72; |
| 97 | alignas(16) static std::array<int8_t, 864> w73; |
| 98 | alignas(16) static std::array<float, 96> s73; |
| 99 | alignas(16) static std::array<int32_t, 96> w74; |
| 100 | alignas(16) static std::array<int8_t, 2304> w75; |
| 101 | alignas(16) static std::array<float, 24> s75; |
| 102 | alignas(16) static std::array<int32_t, 24> w76; |
| 103 | alignas(16) static std::array<int8_t, 3456> w77; |
| 104 | alignas(16) static std::array<float, 144> s77; |
| 105 | alignas(16) static std::array<int32_t, 144> w78; |
| 106 | alignas(16) static std::array<int8_t, 1296> w79; |
| 107 | alignas(16) static std::array<float, 144> s79; |
| 108 | alignas(16) static std::array<int32_t, 144> w80; |
| 109 | alignas(16) static std::array<int8_t, 3456> w81; |
| 110 | alignas(16) static std::array<float, 24> s81; |
| 111 | alignas(16) static std::array<int32_t, 24> w82; |
| 112 | alignas(16) static std::array<int8_t, 3456> w83; |
| 113 | alignas(16) static std::array<float, 144> s83; |
| 114 | alignas(16) static std::array<int32_t, 144> w84; |
| 115 | alignas(16) static std::array<int8_t, 1296> w85; |
| 116 | alignas(16) static std::array<float, 144> s85; |
| 117 | alignas(16) static std::array<int32_t, 144> w86; |
| 118 | alignas(16) static std::array<int8_t, 4608> w87; |
| 119 | alignas(16) static std::array<float, 32> s87; |
| 120 | alignas(16) static std::array<int32_t, 32> w88; |
| 121 | alignas(16) static std::array<int8_t, 6144> w89; |
| 122 | alignas(16) static std::array<float, 192> s89; |
| 123 | alignas(16) static std::array<int32_t, 192> w90; |
| 124 | alignas(16) static std::array<int8_t, 1728> w91; |
| 125 | alignas(16) static std::array<float, 192> s91; |
| 126 | alignas(16) static std::array<int32_t, 192> w92; |
| 127 | alignas(16) static std::array<int8_t, 6144> w93; |
| 128 | alignas(16) static std::array<float, 32> s93; |
| 129 | alignas(16) static std::array<int32_t, 32> w94; |
| 130 | alignas(16) static std::array<int8_t, 6144> w95; |
| 131 | alignas(16) static std::array<float, 192> s95; |
| 132 | alignas(16) static std::array<int32_t, 192> w96; |
| 133 | alignas(16) static std::array<int8_t, 1728> w97; |
| 134 | alignas(16) static std::array<float, 192> s97; |
| 135 | alignas(16) static std::array<int32_t, 192> w98; |
| 136 | alignas(16) static std::array<int8_t, 6144> w99; |
| 137 | alignas(16) static std::array<float, 32> s99; |
| 138 | alignas(16) static std::array<int32_t, 32> w100; |
| 139 | alignas(16) static std::array<int8_t, 6144> w101; |
| 140 | alignas(16) static std::array<float, 192> s101; |
| 141 | alignas(16) static std::array<int32_t, 192> w102; |
| 142 | alignas(16) static std::array<int8_t, 1728> w103; |
| 143 | alignas(16) static std::array<float, 192> s103; |
| 144 | alignas(16) static std::array<int32_t, 192> w104; |
| 145 | alignas(16) static std::array<int8_t, 12288> w105; |
| 146 | alignas(16) static std::array<float, 64> s105; |
| 147 | alignas(16) static std::array<int32_t, 64> w106; |
| 148 | alignas(16) static std::array<int8_t, 24576> w107; |
| 149 | alignas(16) static std::array<float, 384> s107; |
| 150 | alignas(16) static std::array<int32_t, 384> w108; |
| 151 | alignas(16) static std::array<int8_t, 3456> w109; |
| 152 | alignas(16) static std::array<float, 384> s109; |
| 153 | alignas(16) static std::array<int32_t, 384> w110; |
| 154 | alignas(16) static std::array<int8_t, 24576> w111; |
| 155 | alignas(16) static std::array<float, 64> s111; |
| 156 | alignas(16) static std::array<int32_t, 64> w112; |
| 157 | alignas(16) static std::array<int8_t, 24576> w113; |
| 158 | alignas(16) static std::array<float, 384> s113; |
| 159 | alignas(16) static std::array<int32_t, 384> w114; |
| 160 | alignas(16) static std::array<int8_t, 3456> w115; |
| 161 | alignas(16) static std::array<float, 384> s115; |
| 162 | alignas(16) static std::array<int32_t, 384> w116; |
| 163 | alignas(16) static std::array<int8_t, 24576> w117; |
| 164 | alignas(16) static std::array<float, 64> s117; |
| 165 | alignas(16) static std::array<int32_t, 64> w118; |
| 166 | alignas(16) static std::array<int8_t, 24576> w119; |
| 167 | alignas(16) static std::array<float, 384> s119; |
| 168 | alignas(16) static std::array<int32_t, 384> w120; |
| 169 | alignas(16) static std::array<int8_t, 3456> w121; |
| 170 | alignas(16) static std::array<float, 384> s121; |
| 171 | alignas(16) static std::array<int32_t, 384> w122; |
| 172 | alignas(16) static std::array<int8_t, 24576> w123; |
| 173 | alignas(16) static std::array<float, 64> s123; |
| 174 | alignas(16) static std::array<int32_t, 64> w124; |
| 175 | alignas(16) static std::array<int8_t, 24576> w125; |
| 176 | alignas(16) static std::array<float, 384> s125; |
| 177 | alignas(16) static std::array<int32_t, 384> w126; |
| 178 | alignas(16) static std::array<int8_t, 3456> w127; |
| 179 | alignas(16) static std::array<float, 384> s127; |
| 180 | alignas(16) static std::array<int32_t, 384> w128; |
| 181 | alignas(16) static std::array<int8_t, 36864> w129; |
| 182 | alignas(16) static std::array<float, 96> s129; |
| 183 | alignas(16) static std::array<int32_t, 96> w130; |
| 184 | alignas(16) static std::array<int8_t, 55296> w131; |
| 185 | alignas(16) static std::array<float, 576> s131; |
| 186 | alignas(16) static std::array<int32_t, 576> w132; |
| 187 | alignas(16) static std::array<int8_t, 5184> w133; |
| 188 | alignas(16) static std::array<float, 576> s133; |
| 189 | alignas(16) static std::array<int32_t, 576> w134; |
| 190 | alignas(16) static std::array<int8_t, 55296> w135; |
| 191 | alignas(16) static std::array<float, 96> s135; |
| 192 | alignas(16) static std::array<int32_t, 96> w136; |
| 193 | alignas(16) static std::array<int8_t, 55296> w137; |
| 194 | alignas(16) static std::array<float, 576> s137; |
| 195 | alignas(16) static std::array<int32_t, 576> w138; |
| 196 | alignas(16) static std::array<int8_t, 5184> w139; |
| 197 | alignas(16) static std::array<float, 576> s139; |
| 198 | alignas(16) static std::array<int32_t, 576> w140; |
| 199 | alignas(16) static std::array<int8_t, 55296> w141; |
| 200 | alignas(16) static std::array<float, 96> s141; |
| 201 | alignas(16) static std::array<int32_t, 96> w142; |
| 202 | alignas(16) static std::array<int8_t, 55296> w143; |
| 203 | alignas(16) static std::array<float, 576> s143; |
| 204 | alignas(16) static std::array<int32_t, 576> w144; |
| 205 | alignas(16) static std::array<int8_t, 5184> w145; |
| 206 | alignas(16) static std::array<float, 576> s145; |
| 207 | alignas(16) static std::array<int32_t, 576> w146; |
| 208 | alignas(16) static std::array<int8_t, 92160> w147; |
| 209 | alignas(16) static std::array<float, 160> s147; |
| 210 | alignas(16) static std::array<int32_t, 160> w148; |
| 211 | alignas(16) static std::array<int8_t, 153600> w149; |
| 212 | alignas(16) static std::array<float, 960> s149; |
| 213 | alignas(16) static std::array<int32_t, 960> w150; |
| 214 | alignas(16) static std::array<int8_t, 8640> w151; |
| 215 | alignas(16) static std::array<float, 960> s151; |
| 216 | alignas(16) static std::array<int32_t, 960> w152; |
| 217 | alignas(16) static std::array<int8_t, 153600> w153; |
| 218 | alignas(16) static std::array<float, 160> s153; |
| 219 | alignas(16) static std::array<int32_t, 160> w154; |
| 220 | alignas(16) static std::array<int8_t, 153600> w155; |
| 221 | alignas(16) static std::array<float, 960> s155; |
| 222 | alignas(16) static std::array<int32_t, 960> w156; |
| 223 | alignas(16) static std::array<int8_t, 8640> w157; |
| 224 | alignas(16) static std::array<float, 960> s157; |
| 225 | alignas(16) static std::array<int32_t, 960> w158; |
| 226 | alignas(16) static std::array<int8_t, 153600> w159; |
| 227 | alignas(16) static std::array<float, 160> s159; |
| 228 | alignas(16) static std::array<int32_t, 160> w160; |
| 229 | alignas(16) static std::array<int8_t, 153600> w161; |
| 230 | alignas(16) static std::array<float, 960> s161; |
| 231 | alignas(16) static std::array<int32_t, 960> w162; |
| 232 | alignas(16) static std::array<int8_t, 8640> w163; |
| 233 | alignas(16) static std::array<float, 960> s163; |
| 234 | alignas(16) static std::array<int32_t, 960> w164; |
| 235 | alignas(16) static std::array<int8_t, 307200> w165; |
| 236 | alignas(16) static std::array<float, 320> s165; |
| 237 | alignas(16) static std::array<int32_t, 320> w166; |
| 238 | alignas(16) static std::array<int8_t, 409600> w167; |
| 239 | alignas(16) static std::array<float, 1280> s167; |
| 240 | alignas(16) static std::array<int32_t, 1280> w168; |
| 241 | alignas(16) static std::array<int8_t, 1281280> w169; |
| 242 | alignas(16) static std::array<float, 1001> s169; |
| 243 | alignas(16) static std::array<int32_t, 1001> w170; |
| 244 | |
| 245 | std::random_device random_device; |
| 246 | auto rng = std::mt19937(random_device()); |
| 247 | auto i8rng = std::bind(std::uniform_int_distribution<int32_t>(-127, 127), std::ref(rng)); |
| 248 | auto i32rng = std::bind(std::uniform_int_distribution<int32_t>(-10000, 10000), std::ref(rng)); |
| 249 | auto srng = std::bind(std::uniform_real_distribution<float>(0.5f, 0.75f), std::ref(rng)); |
| 250 | std::generate(v0.begin(), v0.end(), std::ref(i8rng)); |
| 251 | std::generate(v1.begin(), v1.end(), std::ref(i8rng)); |
| 252 | std::generate(v2.begin(), v2.end(), std::ref(i8rng)); |
| 253 | std::generate(v3.begin(), v3.end(), std::ref(i8rng)); |
| 254 | std::generate(v4.begin(), v4.end(), std::ref(i8rng)); |
| 255 | std::generate(v5.begin(), v5.end(), std::ref(i8rng)); |
| 256 | std::generate(v6.begin(), v6.end(), std::ref(i8rng)); |
| 257 | std::generate(v7.begin(), v7.end(), std::ref(i8rng)); |
| 258 | std::generate(v8.begin(), v8.end(), std::ref(i8rng)); |
| 259 | std::generate(v9.begin(), v9.end(), std::ref(i8rng)); |
| 260 | std::generate(v10.begin(), v10.end(), std::ref(i8rng)); |
| 261 | std::generate(v11.begin(), v11.end(), std::ref(i8rng)); |
| 262 | std::generate(v12.begin(), v12.end(), std::ref(i8rng)); |
| 263 | std::generate(v13.begin(), v13.end(), std::ref(i8rng)); |
| 264 | std::generate(v14.begin(), v14.end(), std::ref(i8rng)); |
| 265 | std::generate(v15.begin(), v15.end(), std::ref(i8rng)); |
| 266 | std::generate(v16.begin(), v16.end(), std::ref(i8rng)); |
| 267 | std::generate(v17.begin(), v17.end(), std::ref(i8rng)); |
| 268 | std::generate(v18.begin(), v18.end(), std::ref(i8rng)); |
| 269 | std::generate(v19.begin(), v19.end(), std::ref(i8rng)); |
| 270 | std::generate(v20.begin(), v20.end(), std::ref(i8rng)); |
| 271 | std::generate(v21.begin(), v21.end(), std::ref(i8rng)); |
| 272 | std::generate(v22.begin(), v22.end(), std::ref(i8rng)); |
| 273 | std::generate(v23.begin(), v23.end(), std::ref(i8rng)); |
| 274 | std::generate(v24.begin(), v24.end(), std::ref(i8rng)); |
| 275 | std::generate(v25.begin(), v25.end(), std::ref(i8rng)); |
| 276 | std::generate(v26.begin(), v26.end(), std::ref(i8rng)); |
| 277 | std::generate(v27.begin(), v27.end(), std::ref(i8rng)); |
| 278 | std::generate(v28.begin(), v28.end(), std::ref(i8rng)); |
| 279 | std::generate(v29.begin(), v29.end(), std::ref(i8rng)); |
| 280 | std::generate(v30.begin(), v30.end(), std::ref(i8rng)); |
| 281 | std::generate(v31.begin(), v31.end(), std::ref(i8rng)); |
| 282 | std::generate(v32.begin(), v32.end(), std::ref(i8rng)); |
| 283 | std::generate(v33.begin(), v33.end(), std::ref(i8rng)); |
| 284 | std::generate(v34.begin(), v34.end(), std::ref(i8rng)); |
| 285 | std::generate(v35.begin(), v35.end(), std::ref(i8rng)); |
| 286 | std::generate(v36.begin(), v36.end(), std::ref(i8rng)); |
| 287 | std::generate(v37.begin(), v37.end(), std::ref(i8rng)); |
| 288 | std::generate(v38.begin(), v38.end(), std::ref(i8rng)); |
| 289 | std::generate(v39.begin(), v39.end(), std::ref(i8rng)); |
| 290 | std::generate(v40.begin(), v40.end(), std::ref(i8rng)); |
| 291 | std::generate(v41.begin(), v41.end(), std::ref(i8rng)); |
| 292 | std::generate(v42.begin(), v42.end(), std::ref(i8rng)); |
| 293 | std::generate(v43.begin(), v43.end(), std::ref(i8rng)); |
| 294 | std::generate(v44.begin(), v44.end(), std::ref(i8rng)); |
| 295 | std::generate(v45.begin(), v45.end(), std::ref(i8rng)); |
| 296 | std::generate(v46.begin(), v46.end(), std::ref(i8rng)); |
| 297 | std::generate(v47.begin(), v47.end(), std::ref(i8rng)); |
| 298 | std::generate(v48.begin(), v48.end(), std::ref(i8rng)); |
| 299 | std::generate(v49.begin(), v49.end(), std::ref(i8rng)); |
| 300 | std::generate(v50.begin(), v50.end(), std::ref(i8rng)); |
| 301 | std::generate(v51.begin(), v51.end(), std::ref(i8rng)); |
| 302 | std::generate(v52.begin(), v52.end(), std::ref(i8rng)); |
| 303 | std::generate(v53.begin(), v53.end(), std::ref(i8rng)); |
| 304 | std::generate(v54.begin(), v54.end(), std::ref(i8rng)); |
| 305 | std::generate(v55.begin(), v55.end(), std::ref(i8rng)); |
| 306 | std::generate(v56.begin(), v56.end(), std::ref(i8rng)); |
| 307 | std::generate(v57.begin(), v57.end(), std::ref(i8rng)); |
| 308 | std::generate(v58.begin(), v58.end(), std::ref(i8rng)); |
| 309 | std::generate(v59.begin(), v59.end(), std::ref(i8rng)); |
| 310 | std::generate(v60.begin(), v60.end(), std::ref(i8rng)); |
| 311 | std::generate(v61.begin(), v61.end(), std::ref(i8rng)); |
| 312 | std::generate(v62.begin(), v62.end(), std::ref(i8rng)); |
| 313 | std::generate(v63.begin(), v63.end(), std::ref(i8rng)); |
| 314 | std::generate(v64.begin(), v64.end(), std::ref(i8rng)); |
| 315 | std::generate(w65.begin(), w65.end(), std::ref(i8rng)); |
| 316 | std::generate(s65.begin(), s65.end(), std::ref(srng)); |
| 317 | std::generate(w66.begin(), w66.end(), std::ref(i32rng)); |
| 318 | std::generate(w67.begin(), w67.end(), std::ref(i8rng)); |
| 319 | std::generate(s67.begin(), s67.end(), std::ref(srng)); |
| 320 | std::generate(w68.begin(), w68.end(), std::ref(i32rng)); |
| 321 | std::generate(w69.begin(), w69.end(), std::ref(i8rng)); |
| 322 | std::generate(s69.begin(), s69.end(), std::ref(srng)); |
| 323 | std::generate(w70.begin(), w70.end(), std::ref(i32rng)); |
| 324 | std::generate(w71.begin(), w71.end(), std::ref(i8rng)); |
| 325 | std::generate(s71.begin(), s71.end(), std::ref(srng)); |
| 326 | std::generate(w72.begin(), w72.end(), std::ref(i32rng)); |
| 327 | std::generate(w73.begin(), w73.end(), std::ref(i8rng)); |
| 328 | std::generate(s73.begin(), s73.end(), std::ref(srng)); |
| 329 | std::generate(w74.begin(), w74.end(), std::ref(i32rng)); |
| 330 | std::generate(w75.begin(), w75.end(), std::ref(i8rng)); |
| 331 | std::generate(s75.begin(), s75.end(), std::ref(srng)); |
| 332 | std::generate(w76.begin(), w76.end(), std::ref(i32rng)); |
| 333 | std::generate(w77.begin(), w77.end(), std::ref(i8rng)); |
| 334 | std::generate(s77.begin(), s77.end(), std::ref(srng)); |
| 335 | std::generate(w78.begin(), w78.end(), std::ref(i32rng)); |
| 336 | std::generate(w79.begin(), w79.end(), std::ref(i8rng)); |
| 337 | std::generate(s79.begin(), s79.end(), std::ref(srng)); |
| 338 | std::generate(w80.begin(), w80.end(), std::ref(i32rng)); |
| 339 | std::generate(w81.begin(), w81.end(), std::ref(i8rng)); |
| 340 | std::generate(s81.begin(), s81.end(), std::ref(srng)); |
| 341 | std::generate(w82.begin(), w82.end(), std::ref(i32rng)); |
| 342 | std::generate(w83.begin(), w83.end(), std::ref(i8rng)); |
| 343 | std::generate(s83.begin(), s83.end(), std::ref(srng)); |
| 344 | std::generate(w84.begin(), w84.end(), std::ref(i32rng)); |
| 345 | std::generate(w85.begin(), w85.end(), std::ref(i8rng)); |
| 346 | std::generate(s85.begin(), s85.end(), std::ref(srng)); |
| 347 | std::generate(w86.begin(), w86.end(), std::ref(i32rng)); |
| 348 | std::generate(w87.begin(), w87.end(), std::ref(i8rng)); |
| 349 | std::generate(s87.begin(), s87.end(), std::ref(srng)); |
| 350 | std::generate(w88.begin(), w88.end(), std::ref(i32rng)); |
| 351 | std::generate(w89.begin(), w89.end(), std::ref(i8rng)); |
| 352 | std::generate(s89.begin(), s89.end(), std::ref(srng)); |
| 353 | std::generate(w90.begin(), w90.end(), std::ref(i32rng)); |
| 354 | std::generate(w91.begin(), w91.end(), std::ref(i8rng)); |
| 355 | std::generate(s91.begin(), s91.end(), std::ref(srng)); |
| 356 | std::generate(w92.begin(), w92.end(), std::ref(i32rng)); |
| 357 | std::generate(w93.begin(), w93.end(), std::ref(i8rng)); |
| 358 | std::generate(s93.begin(), s93.end(), std::ref(srng)); |
| 359 | std::generate(w94.begin(), w94.end(), std::ref(i32rng)); |
| 360 | std::generate(w95.begin(), w95.end(), std::ref(i8rng)); |
| 361 | std::generate(s95.begin(), s95.end(), std::ref(srng)); |
| 362 | std::generate(w96.begin(), w96.end(), std::ref(i32rng)); |
| 363 | std::generate(w97.begin(), w97.end(), std::ref(i8rng)); |
| 364 | std::generate(s97.begin(), s97.end(), std::ref(srng)); |
| 365 | std::generate(w98.begin(), w98.end(), std::ref(i32rng)); |
| 366 | std::generate(w99.begin(), w99.end(), std::ref(i8rng)); |
| 367 | std::generate(s99.begin(), s99.end(), std::ref(srng)); |
| 368 | std::generate(w100.begin(), w100.end(), std::ref(i32rng)); |
| 369 | std::generate(w101.begin(), w101.end(), std::ref(i8rng)); |
| 370 | std::generate(s101.begin(), s101.end(), std::ref(srng)); |
| 371 | std::generate(w102.begin(), w102.end(), std::ref(i32rng)); |
| 372 | std::generate(w103.begin(), w103.end(), std::ref(i8rng)); |
| 373 | std::generate(s103.begin(), s103.end(), std::ref(srng)); |
| 374 | std::generate(w104.begin(), w104.end(), std::ref(i32rng)); |
| 375 | std::generate(w105.begin(), w105.end(), std::ref(i8rng)); |
| 376 | std::generate(s105.begin(), s105.end(), std::ref(srng)); |
| 377 | std::generate(w106.begin(), w106.end(), std::ref(i32rng)); |
| 378 | std::generate(w107.begin(), w107.end(), std::ref(i8rng)); |
| 379 | std::generate(s107.begin(), s107.end(), std::ref(srng)); |
| 380 | std::generate(w108.begin(), w108.end(), std::ref(i32rng)); |
| 381 | std::generate(w109.begin(), w109.end(), std::ref(i8rng)); |
| 382 | std::generate(s109.begin(), s109.end(), std::ref(srng)); |
| 383 | std::generate(w110.begin(), w110.end(), std::ref(i32rng)); |
| 384 | std::generate(w111.begin(), w111.end(), std::ref(i8rng)); |
| 385 | std::generate(s111.begin(), s111.end(), std::ref(srng)); |
| 386 | std::generate(w112.begin(), w112.end(), std::ref(i32rng)); |
| 387 | std::generate(w113.begin(), w113.end(), std::ref(i8rng)); |
| 388 | std::generate(s113.begin(), s113.end(), std::ref(srng)); |
| 389 | std::generate(w114.begin(), w114.end(), std::ref(i32rng)); |
| 390 | std::generate(w115.begin(), w115.end(), std::ref(i8rng)); |
| 391 | std::generate(s115.begin(), s115.end(), std::ref(srng)); |
| 392 | std::generate(w116.begin(), w116.end(), std::ref(i32rng)); |
| 393 | std::generate(w117.begin(), w117.end(), std::ref(i8rng)); |
| 394 | std::generate(s117.begin(), s117.end(), std::ref(srng)); |
| 395 | std::generate(w118.begin(), w118.end(), std::ref(i32rng)); |
| 396 | std::generate(w119.begin(), w119.end(), std::ref(i8rng)); |
| 397 | std::generate(s119.begin(), s119.end(), std::ref(srng)); |
| 398 | std::generate(w120.begin(), w120.end(), std::ref(i32rng)); |
| 399 | std::generate(w121.begin(), w121.end(), std::ref(i8rng)); |
| 400 | std::generate(s121.begin(), s121.end(), std::ref(srng)); |
| 401 | std::generate(w122.begin(), w122.end(), std::ref(i32rng)); |
| 402 | std::generate(w123.begin(), w123.end(), std::ref(i8rng)); |
| 403 | std::generate(s123.begin(), s123.end(), std::ref(srng)); |
| 404 | std::generate(w124.begin(), w124.end(), std::ref(i32rng)); |
| 405 | std::generate(w125.begin(), w125.end(), std::ref(i8rng)); |
| 406 | std::generate(s125.begin(), s125.end(), std::ref(srng)); |
| 407 | std::generate(w126.begin(), w126.end(), std::ref(i32rng)); |
| 408 | std::generate(w127.begin(), w127.end(), std::ref(i8rng)); |
| 409 | std::generate(s127.begin(), s127.end(), std::ref(srng)); |
| 410 | std::generate(w128.begin(), w128.end(), std::ref(i32rng)); |
| 411 | std::generate(w129.begin(), w129.end(), std::ref(i8rng)); |
| 412 | std::generate(s129.begin(), s129.end(), std::ref(srng)); |
| 413 | std::generate(w130.begin(), w130.end(), std::ref(i32rng)); |
| 414 | std::generate(w131.begin(), w131.end(), std::ref(i8rng)); |
| 415 | std::generate(s131.begin(), s131.end(), std::ref(srng)); |
| 416 | std::generate(w132.begin(), w132.end(), std::ref(i32rng)); |
| 417 | std::generate(w133.begin(), w133.end(), std::ref(i8rng)); |
| 418 | std::generate(s133.begin(), s133.end(), std::ref(srng)); |
| 419 | std::generate(w134.begin(), w134.end(), std::ref(i32rng)); |
| 420 | std::generate(w135.begin(), w135.end(), std::ref(i8rng)); |
| 421 | std::generate(s135.begin(), s135.end(), std::ref(srng)); |
| 422 | std::generate(w136.begin(), w136.end(), std::ref(i32rng)); |
| 423 | std::generate(w137.begin(), w137.end(), std::ref(i8rng)); |
| 424 | std::generate(s137.begin(), s137.end(), std::ref(srng)); |
| 425 | std::generate(w138.begin(), w138.end(), std::ref(i32rng)); |
| 426 | std::generate(w139.begin(), w139.end(), std::ref(i8rng)); |
| 427 | std::generate(s139.begin(), s139.end(), std::ref(srng)); |
| 428 | std::generate(w140.begin(), w140.end(), std::ref(i32rng)); |
| 429 | std::generate(w141.begin(), w141.end(), std::ref(i8rng)); |
| 430 | std::generate(s141.begin(), s141.end(), std::ref(srng)); |
| 431 | std::generate(w142.begin(), w142.end(), std::ref(i32rng)); |
| 432 | std::generate(w143.begin(), w143.end(), std::ref(i8rng)); |
| 433 | std::generate(s143.begin(), s143.end(), std::ref(srng)); |
| 434 | std::generate(w144.begin(), w144.end(), std::ref(i32rng)); |
| 435 | std::generate(w145.begin(), w145.end(), std::ref(i8rng)); |
| 436 | std::generate(s145.begin(), s145.end(), std::ref(srng)); |
| 437 | std::generate(w146.begin(), w146.end(), std::ref(i32rng)); |
| 438 | std::generate(w147.begin(), w147.end(), std::ref(i8rng)); |
| 439 | std::generate(s147.begin(), s147.end(), std::ref(srng)); |
| 440 | std::generate(w148.begin(), w148.end(), std::ref(i32rng)); |
| 441 | std::generate(w149.begin(), w149.end(), std::ref(i8rng)); |
| 442 | std::generate(s149.begin(), s149.end(), std::ref(srng)); |
| 443 | std::generate(w150.begin(), w150.end(), std::ref(i32rng)); |
| 444 | std::generate(w151.begin(), w151.end(), std::ref(i8rng)); |
| 445 | std::generate(s151.begin(), s151.end(), std::ref(srng)); |
| 446 | std::generate(w152.begin(), w152.end(), std::ref(i32rng)); |
| 447 | std::generate(w151.begin(), w151.end(), std::ref(i8rng)); |
| 448 | std::generate(s153.begin(), s153.end(), std::ref(srng)); |
| 449 | std::generate(w154.begin(), w154.end(), std::ref(i32rng)); |
| 450 | std::generate(w155.begin(), w155.end(), std::ref(i8rng)); |
| 451 | std::generate(s155.begin(), s155.end(), std::ref(srng)); |
| 452 | std::generate(w156.begin(), w156.end(), std::ref(i32rng)); |
| 453 | std::generate(w157.begin(), w157.end(), std::ref(i8rng)); |
| 454 | std::generate(s157.begin(), s157.end(), std::ref(srng)); |
| 455 | std::generate(w158.begin(), w158.end(), std::ref(i32rng)); |
| 456 | std::generate(w159.begin(), w159.end(), std::ref(i8rng)); |
| 457 | std::generate(s159.begin(), s159.end(), std::ref(srng)); |
| 458 | std::generate(w160.begin(), w160.end(), std::ref(i32rng)); |
| 459 | std::generate(w161.begin(), w161.end(), std::ref(i8rng)); |
| 460 | std::generate(s161.begin(), s161.end(), std::ref(srng)); |
| 461 | std::generate(w162.begin(), w162.end(), std::ref(i32rng)); |
| 462 | std::generate(w163.begin(), w163.end(), std::ref(i8rng)); |
| 463 | std::generate(s163.begin(), s163.end(), std::ref(srng)); |
| 464 | std::generate(w164.begin(), w164.end(), std::ref(i32rng)); |
| 465 | std::generate(w165.begin(), w165.end(), std::ref(i8rng)); |
| 466 | std::generate(s165.begin(), s165.end(), std::ref(srng)); |
| 467 | std::generate(w166.begin(), w166.end(), std::ref(i32rng)); |
| 468 | std::generate(w167.begin(), w167.end(), std::ref(i8rng)); |
| 469 | std::generate(s167.begin(), s167.end(), std::ref(srng)); |
| 470 | std::generate(w168.begin(), w168.end(), std::ref(i32rng)); |
| 471 | std::generate(w169.begin(), w169.end(), std::ref(i8rng)); |
| 472 | std::generate(s169.begin(), s169.end(), std::ref(srng)); |
| 473 | std::generate(w170.begin(), w170.end(), std::ref(i32rng)); |
| 474 | |
| 475 | ExecutionPlan operators; |
| 476 | xnn_status status; |
| 477 | |
| 478 | xnn_operator_t op0 = nullptr; |
| 479 | status = xnn_create_convolution2d_nhwc_qc8( |
| 480 | 0 /* top padding */, 1 /* right padding */, |
| 481 | 1 /* bottom padding */, 0 /* left padding */, |
| 482 | 3 /* kernel height */, 3 /* kernel width */, |
| 483 | 2 /* subsampling height */, 2 /* subsampling width */, |
| 484 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 485 | 1 /* groups */, |
| 486 | 3 /* input channels per group */, |
| 487 | 32 /* output_channels_per_group */, |
| 488 | 3 /* input pixel stride */, |
| 489 | 32 /* output pixel stride */, |
| 490 | -1 /* input zero point */, 0.5f /* input scale */, |
| 491 | s65.data(), w65.data(), w66.data(), |
| 492 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 493 | 0 /* flags */, |
| 494 | &op0); |
| 495 | if (status != xnn_status_success) { |
| 496 | std::cerr << "failed to create operation #0" << std::endl; |
| 497 | return ExecutionPlan(); |
| 498 | } |
| 499 | operators.emplace_back(op0, xnn_delete_operator); |
| 500 | |
| 501 | xnn_operator_t op1 = nullptr; |
| 502 | status = xnn_create_convolution2d_nhwc_qc8( |
| 503 | 1 /* top padding */, 1 /* right padding */, |
| 504 | 1 /* bottom padding */, 1 /* left padding */, |
| 505 | 3 /* kernel height */, 3 /* kernel width */, |
| 506 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 507 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 508 | 32 /* groups */, |
| 509 | 1 /* input channels per group */, |
| 510 | 1 /* output_channels_per_group */, |
| 511 | 32 /* input pixel stride */, |
| 512 | 32 /* output pixel stride */, |
| 513 | -1 /* input zero point */, 0.5f /* input scale */, |
| 514 | s67.data(), w67.data(), w68.data(), |
| 515 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 516 | 0 /* flags */, |
| 517 | &op1); |
| 518 | if (status != xnn_status_success) { |
| 519 | std::cerr << "failed to create operation #1" << std::endl; |
| 520 | return ExecutionPlan(); |
| 521 | } |
| 522 | operators.emplace_back(op1, xnn_delete_operator); |
| 523 | |
| 524 | xnn_operator_t op2 = nullptr; |
| 525 | status = xnn_create_convolution2d_nhwc_qc8( |
| 526 | 0 /* top padding */, 0 /* right padding */, |
| 527 | 0 /* bottom padding */, 0 /* left padding */, |
| 528 | 1 /* kernel height */, 1 /* kernel width */, |
| 529 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 530 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 531 | 1 /* groups */, |
| 532 | 32 /* input channels per group */, |
| 533 | 16 /* output_channels_per_group */, |
| 534 | 32 /* input pixel stride */, |
| 535 | 16 /* output pixel stride */, |
| 536 | -1 /* input zero point */, 0.5f /* input scale */, |
| 537 | s69.data(), w69.data(), w70.data(), |
| 538 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 539 | 0 /* flags */, |
| 540 | &op2); |
| 541 | if (status != xnn_status_success) { |
| 542 | std::cerr << "failed to create operation #2" << std::endl; |
| 543 | return ExecutionPlan(); |
| 544 | } |
| 545 | operators.emplace_back(op2, xnn_delete_operator); |
| 546 | |
| 547 | xnn_operator_t op3 = nullptr; |
| 548 | status = xnn_create_convolution2d_nhwc_qc8( |
| 549 | 0 /* top padding */, 0 /* right padding */, |
| 550 | 0 /* bottom padding */, 0 /* left padding */, |
| 551 | 1 /* kernel height */, 1 /* kernel width */, |
| 552 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 553 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 554 | 1 /* groups */, |
| 555 | 16 /* input channels per group */, |
| 556 | 96 /* output_channels_per_group */, |
| 557 | 16 /* input pixel stride */, |
| 558 | 96 /* output pixel stride */, |
| 559 | -1 /* input zero point */, 0.5f /* input scale */, |
| 560 | s71.data(), w71.data(), w72.data(), |
| 561 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 562 | 0 /* flags */, |
| 563 | &op3); |
| 564 | if (status != xnn_status_success) { |
| 565 | std::cerr << "failed to create operation #3" << std::endl; |
| 566 | return ExecutionPlan(); |
| 567 | } |
| 568 | operators.emplace_back(op3, xnn_delete_operator); |
| 569 | |
| 570 | xnn_operator_t op4 = nullptr; |
| 571 | status = xnn_create_convolution2d_nhwc_qc8( |
| 572 | 0 /* top padding */, 1 /* right padding */, |
| 573 | 1 /* bottom padding */, 0 /* left padding */, |
| 574 | 3 /* kernel height */, 3 /* kernel width */, |
| 575 | 2 /* subsampling height */, 2 /* subsampling width */, |
| 576 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 577 | 96 /* groups */, |
| 578 | 1 /* input channels per group */, |
| 579 | 1 /* output_channels_per_group */, |
| 580 | 96 /* input pixel stride */, |
| 581 | 96 /* output pixel stride */, |
| 582 | -1 /* input zero point */, 0.5f /* input scale */, |
| 583 | s73.data(), w73.data(), w74.data(), |
| 584 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 585 | 0 /* flags */, |
| 586 | &op4); |
| 587 | if (status != xnn_status_success) { |
| 588 | std::cerr << "failed to create operation #4" << std::endl; |
| 589 | return ExecutionPlan(); |
| 590 | } |
| 591 | operators.emplace_back(op4, xnn_delete_operator); |
| 592 | |
| 593 | xnn_operator_t op5 = nullptr; |
| 594 | status = xnn_create_convolution2d_nhwc_qc8( |
| 595 | 0 /* top padding */, 0 /* right padding */, |
| 596 | 0 /* bottom padding */, 0 /* left padding */, |
| 597 | 1 /* kernel height */, 1 /* kernel width */, |
| 598 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 599 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 600 | 1 /* groups */, |
| 601 | 96 /* input channels per group */, |
| 602 | 24 /* output_channels_per_group */, |
| 603 | 96 /* input pixel stride */, |
| 604 | 24 /* output pixel stride */, |
| 605 | -1 /* input zero point */, 0.5f /* input scale */, |
| 606 | s75.data(), w75.data(), w76.data(), |
| 607 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 608 | 0 /* flags */, |
| 609 | &op5); |
| 610 | if (status != xnn_status_success) { |
| 611 | std::cerr << "failed to create operation #5" << std::endl; |
| 612 | return ExecutionPlan(); |
| 613 | } |
| 614 | operators.emplace_back(op5, xnn_delete_operator); |
| 615 | |
| 616 | xnn_operator_t op6 = nullptr; |
| 617 | status = xnn_create_convolution2d_nhwc_qc8( |
| 618 | 0 /* top padding */, 0 /* right padding */, |
| 619 | 0 /* bottom padding */, 0 /* left padding */, |
| 620 | 1 /* kernel height */, 1 /* kernel width */, |
| 621 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 622 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 623 | 1 /* groups */, |
| 624 | 24 /* input channels per group */, |
| 625 | 144 /* output_channels_per_group */, |
| 626 | 24 /* input pixel stride */, |
| 627 | 144 /* output pixel stride */, |
| 628 | -1 /* input zero point */, 0.5f /* input scale */, |
| 629 | s77.data(), w77.data(), w78.data(), |
| 630 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 631 | 0 /* flags */, |
| 632 | &op6); |
| 633 | if (status != xnn_status_success) { |
| 634 | std::cerr << "failed to create operation #6" << std::endl; |
| 635 | return ExecutionPlan(); |
| 636 | } |
| 637 | operators.emplace_back(op6, xnn_delete_operator); |
| 638 | |
| 639 | xnn_operator_t op7 = nullptr; |
| 640 | status = xnn_create_convolution2d_nhwc_qc8( |
| 641 | 1 /* top padding */, 1 /* right padding */, |
| 642 | 1 /* bottom padding */, 1 /* left padding */, |
| 643 | 3 /* kernel height */, 3 /* kernel width */, |
| 644 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 645 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 646 | 144 /* groups */, |
| 647 | 1 /* input channels per group */, |
| 648 | 1 /* output_channels_per_group */, |
| 649 | 144 /* input pixel stride */, |
| 650 | 144 /* output pixel stride */, |
| 651 | -1 /* input zero point */, 0.5f /* input scale */, |
| 652 | s79.data(), w79.data(), w80.data(), |
| 653 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 654 | 0 /* flags */, |
| 655 | &op7); |
| 656 | if (status != xnn_status_success) { |
| 657 | std::cerr << "failed to create operation #7" << std::endl; |
| 658 | return ExecutionPlan(); |
| 659 | } |
| 660 | operators.emplace_back(op7, xnn_delete_operator); |
| 661 | |
| 662 | xnn_operator_t op8 = nullptr; |
| 663 | status = xnn_create_convolution2d_nhwc_qc8( |
| 664 | 0 /* top padding */, 0 /* right padding */, |
| 665 | 0 /* bottom padding */, 0 /* left padding */, |
| 666 | 1 /* kernel height */, 1 /* kernel width */, |
| 667 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 668 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 669 | 1 /* groups */, |
| 670 | 144 /* input channels per group */, |
| 671 | 24 /* output_channels_per_group */, |
| 672 | 144 /* input pixel stride */, |
| 673 | 24 /* output pixel stride */, |
| 674 | -1 /* input zero point */, 0.5f /* input scale */, |
| 675 | s81.data(), w81.data(), w82.data(), |
| 676 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 677 | 0 /* flags */, |
| 678 | &op8); |
| 679 | if (status != xnn_status_success) { |
| 680 | std::cerr << "failed to create operation #8" << std::endl; |
| 681 | return ExecutionPlan(); |
| 682 | } |
| 683 | operators.emplace_back(op8, xnn_delete_operator); |
| 684 | |
| 685 | xnn_operator_t op9 = nullptr; |
| 686 | status = xnn_create_add_nd_qs8( |
| 687 | -1 /* input1 zero point */, 0.5f /* input1 scale */, |
| 688 | -1 /* input2 zero point */, 0.5f /* input2 scale */, |
| 689 | -1 /* output zero point */, 1.0f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 690 | 0 /* flags */, |
| 691 | &op9); |
| 692 | if (status != xnn_status_success) { |
| 693 | std::cerr << "failed to create operation #9" << std::endl; |
| 694 | return ExecutionPlan(); |
| 695 | } |
| 696 | operators.emplace_back(op9, xnn_delete_operator); |
| 697 | |
| 698 | xnn_operator_t op10 = nullptr; |
| 699 | status = xnn_create_convolution2d_nhwc_qc8( |
| 700 | 0 /* top padding */, 0 /* right padding */, |
| 701 | 0 /* bottom padding */, 0 /* left padding */, |
| 702 | 1 /* kernel height */, 1 /* kernel width */, |
| 703 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 704 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 705 | 1 /* groups */, |
| 706 | 24 /* input channels per group */, |
| 707 | 144 /* output_channels_per_group */, |
| 708 | 24 /* input pixel stride */, |
| 709 | 144 /* output pixel stride */, |
| 710 | -1 /* input zero point */, 0.5f /* input scale */, |
| 711 | s83.data(), w83.data(), w84.data(), |
| 712 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 713 | 0 /* flags */, |
| 714 | &op10); |
| 715 | if (status != xnn_status_success) { |
| 716 | std::cerr << "failed to create operation #10" << std::endl; |
| 717 | return ExecutionPlan(); |
| 718 | } |
| 719 | operators.emplace_back(op10, xnn_delete_operator); |
| 720 | |
| 721 | xnn_operator_t op11 = nullptr; |
| 722 | status = xnn_create_convolution2d_nhwc_qc8( |
| 723 | 0 /* top padding */, 1 /* right padding */, |
| 724 | 1 /* bottom padding */, 0 /* left padding */, |
| 725 | 3 /* kernel height */, 3 /* kernel width */, |
| 726 | 2 /* subsampling height */, 2 /* subsampling width */, |
| 727 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 728 | 144 /* groups */, |
| 729 | 1 /* input channels per group */, |
| 730 | 1 /* output_channels_per_group */, |
| 731 | 144 /* input pixel stride */, |
| 732 | 144 /* output pixel stride */, |
| 733 | -1 /* input zero point */, 0.5f /* input scale */, |
| 734 | s85.data(), w85.data(), w86.data(), |
| 735 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 736 | 0 /* flags */, |
| 737 | &op11); |
| 738 | if (status != xnn_status_success) { |
| 739 | std::cerr << "failed to create operation #11" << std::endl; |
| 740 | return ExecutionPlan(); |
| 741 | } |
| 742 | operators.emplace_back(op11, xnn_delete_operator); |
| 743 | |
| 744 | xnn_operator_t op12 = nullptr; |
| 745 | status = xnn_create_convolution2d_nhwc_qc8( |
| 746 | 0 /* top padding */, 0 /* right padding */, |
| 747 | 0 /* bottom padding */, 0 /* left padding */, |
| 748 | 1 /* kernel height */, 1 /* kernel width */, |
| 749 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 750 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 751 | 1 /* groups */, |
| 752 | 144 /* input channels per group */, |
| 753 | 32 /* output_channels_per_group */, |
| 754 | 144 /* input pixel stride */, |
| 755 | 32 /* output pixel stride */, |
| 756 | -1 /* input zero point */, 0.5f /* input scale */, |
| 757 | s87.data(), w87.data(), w88.data(), |
| 758 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 759 | 0 /* flags */, |
| 760 | &op12); |
| 761 | if (status != xnn_status_success) { |
| 762 | std::cerr << "failed to create operation #12" << std::endl; |
| 763 | return ExecutionPlan(); |
| 764 | } |
| 765 | operators.emplace_back(op12, xnn_delete_operator); |
| 766 | |
| 767 | xnn_operator_t op13 = nullptr; |
| 768 | status = xnn_create_convolution2d_nhwc_qc8( |
| 769 | 0 /* top padding */, 0 /* right padding */, |
| 770 | 0 /* bottom padding */, 0 /* left padding */, |
| 771 | 1 /* kernel height */, 1 /* kernel width */, |
| 772 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 773 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 774 | 1 /* groups */, |
| 775 | 32 /* input channels per group */, |
| 776 | 192 /* output_channels_per_group */, |
| 777 | 32 /* input pixel stride */, |
| 778 | 192 /* output pixel stride */, |
| 779 | -1 /* input zero point */, 0.5f /* input scale */, |
| 780 | s89.data(), w89.data(), w90.data(), |
| 781 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 782 | 0 /* flags */, |
| 783 | &op13); |
| 784 | if (status != xnn_status_success) { |
| 785 | std::cerr << "failed to create operation #13" << std::endl; |
| 786 | return ExecutionPlan(); |
| 787 | } |
| 788 | operators.emplace_back(op13, xnn_delete_operator); |
| 789 | |
| 790 | xnn_operator_t op14 = nullptr; |
| 791 | status = xnn_create_convolution2d_nhwc_qc8( |
| 792 | 1 /* top padding */, 1 /* right padding */, |
| 793 | 1 /* bottom padding */, 1 /* left padding */, |
| 794 | 3 /* kernel height */, 3 /* kernel width */, |
| 795 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 796 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 797 | 192 /* groups */, |
| 798 | 1 /* input channels per group */, |
| 799 | 1 /* output_channels_per_group */, |
| 800 | 192 /* input pixel stride */, |
| 801 | 192 /* output pixel stride */, |
| 802 | -1 /* input zero point */, 0.5f /* input scale */, |
| 803 | s91.data(), w91.data(), w92.data(), |
| 804 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 805 | 0 /* flags */, |
| 806 | &op14); |
| 807 | if (status != xnn_status_success) { |
| 808 | std::cerr << "failed to create operation #14" << std::endl; |
| 809 | return ExecutionPlan(); |
| 810 | } |
| 811 | operators.emplace_back(op14, xnn_delete_operator); |
| 812 | |
| 813 | xnn_operator_t op15 = nullptr; |
| 814 | status = xnn_create_convolution2d_nhwc_qc8( |
| 815 | 0 /* top padding */, 0 /* right padding */, |
| 816 | 0 /* bottom padding */, 0 /* left padding */, |
| 817 | 1 /* kernel height */, 1 /* kernel width */, |
| 818 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 819 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 820 | 1 /* groups */, |
| 821 | 192 /* input channels per group */, |
| 822 | 32 /* output_channels_per_group */, |
| 823 | 192 /* input pixel stride */, |
| 824 | 32 /* output pixel stride */, |
| 825 | -1 /* input zero point */, 0.5f /* input scale */, |
| 826 | s93.data(), w93.data(), w94.data(), |
| 827 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 828 | 0 /* flags */, |
| 829 | &op15); |
| 830 | if (status != xnn_status_success) { |
| 831 | std::cerr << "failed to create operation #15" << std::endl; |
| 832 | return ExecutionPlan(); |
| 833 | } |
| 834 | operators.emplace_back(op15, xnn_delete_operator); |
| 835 | |
| 836 | xnn_operator_t op16 = nullptr; |
| 837 | status = xnn_create_add_nd_qs8( |
| 838 | -1 /* input1 zero point */, 0.5f /* input1 scale */, |
| 839 | -1 /* input2 zero point */, 0.5f /* input2 scale */, |
| 840 | -1 /* output zero point */, 1.0f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 841 | 0 /* flags */, |
| 842 | &op16); |
| 843 | if (status != xnn_status_success) { |
| 844 | std::cerr << "failed to create operation #16" << std::endl; |
| 845 | return ExecutionPlan(); |
| 846 | } |
| 847 | operators.emplace_back(op16, xnn_delete_operator); |
| 848 | |
| 849 | xnn_operator_t op17 = nullptr; |
| 850 | status = xnn_create_convolution2d_nhwc_qc8( |
| 851 | 0 /* top padding */, 0 /* right padding */, |
| 852 | 0 /* bottom padding */, 0 /* left padding */, |
| 853 | 1 /* kernel height */, 1 /* kernel width */, |
| 854 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 855 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 856 | 1 /* groups */, |
| 857 | 32 /* input channels per group */, |
| 858 | 192 /* output_channels_per_group */, |
| 859 | 32 /* input pixel stride */, |
| 860 | 192 /* output pixel stride */, |
| 861 | -1 /* input zero point */, 0.5f /* input scale */, |
| 862 | s95.data(), w95.data(), w96.data(), |
| 863 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 864 | 0 /* flags */, |
| 865 | &op17); |
| 866 | if (status != xnn_status_success) { |
| 867 | std::cerr << "failed to create operation #17" << std::endl; |
| 868 | return ExecutionPlan(); |
| 869 | } |
| 870 | operators.emplace_back(op17, xnn_delete_operator); |
| 871 | |
| 872 | xnn_operator_t op18 = nullptr; |
| 873 | status = xnn_create_convolution2d_nhwc_qc8( |
| 874 | 1 /* top padding */, 1 /* right padding */, |
| 875 | 1 /* bottom padding */, 1 /* left padding */, |
| 876 | 3 /* kernel height */, 3 /* kernel width */, |
| 877 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 878 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 879 | 192 /* groups */, |
| 880 | 1 /* input channels per group */, |
| 881 | 1 /* output_channels_per_group */, |
| 882 | 192 /* input pixel stride */, |
| 883 | 192 /* output pixel stride */, |
| 884 | -1 /* input zero point */, 0.5f /* input scale */, |
| 885 | s97.data(), w97.data(), w98.data(), |
| 886 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 887 | 0 /* flags */, |
| 888 | &op18); |
| 889 | if (status != xnn_status_success) { |
| 890 | std::cerr << "failed to create operation #18" << std::endl; |
| 891 | return ExecutionPlan(); |
| 892 | } |
| 893 | operators.emplace_back(op18, xnn_delete_operator); |
| 894 | |
| 895 | xnn_operator_t op19 = nullptr; |
| 896 | status = xnn_create_convolution2d_nhwc_qc8( |
| 897 | 0 /* top padding */, 0 /* right padding */, |
| 898 | 0 /* bottom padding */, 0 /* left padding */, |
| 899 | 1 /* kernel height */, 1 /* kernel width */, |
| 900 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 901 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 902 | 1 /* groups */, |
| 903 | 192 /* input channels per group */, |
| 904 | 32 /* output_channels_per_group */, |
| 905 | 192 /* input pixel stride */, |
| 906 | 32 /* output pixel stride */, |
| 907 | -1 /* input zero point */, 0.5f /* input scale */, |
| 908 | s99.data(), w99.data(), w100.data(), |
| 909 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 910 | 0 /* flags */, |
| 911 | &op19); |
| 912 | if (status != xnn_status_success) { |
| 913 | std::cerr << "failed to create operation #19" << std::endl; |
| 914 | return ExecutionPlan(); |
| 915 | } |
| 916 | operators.emplace_back(op19, xnn_delete_operator); |
| 917 | |
| 918 | xnn_operator_t op20 = nullptr; |
| 919 | status = xnn_create_add_nd_qs8( |
| 920 | -1 /* input1 zero point */, 0.5f /* input1 scale */, |
| 921 | -1 /* input2 zero point */, 0.5f /* input2 scale */, |
| 922 | -1 /* output zero point */, 1.0f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 923 | 0 /* flags */, |
| 924 | &op20); |
| 925 | if (status != xnn_status_success) { |
| 926 | std::cerr << "failed to create operation #20" << std::endl; |
| 927 | return ExecutionPlan(); |
| 928 | } |
| 929 | operators.emplace_back(op20, xnn_delete_operator); |
| 930 | |
| 931 | xnn_operator_t op21 = nullptr; |
| 932 | status = xnn_create_convolution2d_nhwc_qc8( |
| 933 | 0 /* top padding */, 0 /* right padding */, |
| 934 | 0 /* bottom padding */, 0 /* left padding */, |
| 935 | 1 /* kernel height */, 1 /* kernel width */, |
| 936 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 937 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 938 | 1 /* groups */, |
| 939 | 32 /* input channels per group */, |
| 940 | 192 /* output_channels_per_group */, |
| 941 | 32 /* input pixel stride */, |
| 942 | 192 /* output pixel stride */, |
| 943 | -1 /* input zero point */, 0.5f /* input scale */, |
| 944 | s101.data(), w101.data(), w102.data(), |
| 945 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 946 | 0 /* flags */, |
| 947 | &op21); |
| 948 | if (status != xnn_status_success) { |
| 949 | std::cerr << "failed to create operation #21" << std::endl; |
| 950 | return ExecutionPlan(); |
| 951 | } |
| 952 | operators.emplace_back(op21, xnn_delete_operator); |
| 953 | |
| 954 | xnn_operator_t op22 = nullptr; |
| 955 | status = xnn_create_convolution2d_nhwc_qc8( |
| 956 | 0 /* top padding */, 1 /* right padding */, |
| 957 | 1 /* bottom padding */, 0 /* left padding */, |
| 958 | 3 /* kernel height */, 3 /* kernel width */, |
| 959 | 2 /* subsampling height */, 2 /* subsampling width */, |
| 960 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 961 | 192 /* groups */, |
| 962 | 1 /* input channels per group */, |
| 963 | 1 /* output_channels_per_group */, |
| 964 | 192 /* input pixel stride */, |
| 965 | 192 /* output pixel stride */, |
| 966 | -1 /* input zero point */, 0.5f /* input scale */, |
| 967 | s103.data(), w103.data(), w104.data(), |
| 968 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 969 | 0 /* flags */, |
| 970 | &op22); |
| 971 | if (status != xnn_status_success) { |
| 972 | std::cerr << "failed to create operation #22" << std::endl; |
| 973 | return ExecutionPlan(); |
| 974 | } |
| 975 | operators.emplace_back(op22, xnn_delete_operator); |
| 976 | |
| 977 | xnn_operator_t op23 = nullptr; |
| 978 | status = xnn_create_convolution2d_nhwc_qc8( |
| 979 | 0 /* top padding */, 0 /* right padding */, |
| 980 | 0 /* bottom padding */, 0 /* left padding */, |
| 981 | 1 /* kernel height */, 1 /* kernel width */, |
| 982 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 983 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 984 | 1 /* groups */, |
| 985 | 192 /* input channels per group */, |
| 986 | 64 /* output_channels_per_group */, |
| 987 | 192 /* input pixel stride */, |
| 988 | 64 /* output pixel stride */, |
| 989 | -1 /* input zero point */, 0.5f /* input scale */, |
| 990 | s105.data(), w105.data(), w106.data(), |
| 991 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 992 | 0 /* flags */, |
| 993 | &op23); |
| 994 | if (status != xnn_status_success) { |
| 995 | std::cerr << "failed to create operation #23" << std::endl; |
| 996 | return ExecutionPlan(); |
| 997 | } |
| 998 | operators.emplace_back(op23, xnn_delete_operator); |
| 999 | |
| 1000 | xnn_operator_t op24 = nullptr; |
| 1001 | status = xnn_create_convolution2d_nhwc_qc8( |
| 1002 | 0 /* top padding */, 0 /* right padding */, |
| 1003 | 0 /* bottom padding */, 0 /* left padding */, |
| 1004 | 1 /* kernel height */, 1 /* kernel width */, |
| 1005 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1006 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1007 | 1 /* groups */, |
| 1008 | 64 /* input channels per group */, |
| 1009 | 384 /* output_channels_per_group */, |
| 1010 | 64 /* input pixel stride */, |
| 1011 | 384 /* output pixel stride */, |
| 1012 | -1 /* input zero point */, 0.5f /* input scale */, |
| 1013 | s107.data(), w107.data(), w108.data(), |
| 1014 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1015 | 0 /* flags */, |
| 1016 | &op24); |
| 1017 | if (status != xnn_status_success) { |
| 1018 | std::cerr << "failed to create operation #24" << std::endl; |
| 1019 | return ExecutionPlan(); |
| 1020 | } |
| 1021 | operators.emplace_back(op24, xnn_delete_operator); |
| 1022 | |
| 1023 | xnn_operator_t op25 = nullptr; |
| 1024 | status = xnn_create_convolution2d_nhwc_qc8( |
| 1025 | 1 /* top padding */, 1 /* right padding */, |
| 1026 | 1 /* bottom padding */, 1 /* left padding */, |
| 1027 | 3 /* kernel height */, 3 /* kernel width */, |
| 1028 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1029 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1030 | 384 /* groups */, |
| 1031 | 1 /* input channels per group */, |
| 1032 | 1 /* output_channels_per_group */, |
| 1033 | 384 /* input pixel stride */, |
| 1034 | 384 /* output pixel stride */, |
| 1035 | -1 /* input zero point */, 0.5f /* input scale */, |
| 1036 | s109.data(), w109.data(), w110.data(), |
| 1037 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1038 | 0 /* flags */, |
| 1039 | &op25); |
| 1040 | if (status != xnn_status_success) { |
| 1041 | std::cerr << "failed to create operation #25" << std::endl; |
| 1042 | return ExecutionPlan(); |
| 1043 | } |
| 1044 | operators.emplace_back(op25, xnn_delete_operator); |
| 1045 | |
| 1046 | xnn_operator_t op26 = nullptr; |
| 1047 | status = xnn_create_convolution2d_nhwc_qc8( |
| 1048 | 0 /* top padding */, 0 /* right padding */, |
| 1049 | 0 /* bottom padding */, 0 /* left padding */, |
| 1050 | 1 /* kernel height */, 1 /* kernel width */, |
| 1051 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1052 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1053 | 1 /* groups */, |
| 1054 | 384 /* input channels per group */, |
| 1055 | 64 /* output_channels_per_group */, |
| 1056 | 384 /* input pixel stride */, |
| 1057 | 64 /* output pixel stride */, |
| 1058 | -1 /* input zero point */, 0.5f /* input scale */, |
| 1059 | s111.data(), w111.data(), w112.data(), |
| 1060 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1061 | 0 /* flags */, |
| 1062 | &op26); |
| 1063 | if (status != xnn_status_success) { |
| 1064 | std::cerr << "failed to create operation #26" << std::endl; |
| 1065 | return ExecutionPlan(); |
| 1066 | } |
| 1067 | operators.emplace_back(op26, xnn_delete_operator); |
| 1068 | |
| 1069 | xnn_operator_t op27 = nullptr; |
| 1070 | status = xnn_create_add_nd_qs8( |
| 1071 | -1 /* input1 zero point */, 0.5f /* input1 scale */, |
| 1072 | -1 /* input2 zero point */, 0.5f /* input2 scale */, |
| 1073 | -1 /* output zero point */, 1.0f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1074 | 0 /* flags */, |
| 1075 | &op27); |
| 1076 | if (status != xnn_status_success) { |
| 1077 | std::cerr << "failed to create operation #27" << std::endl; |
| 1078 | return ExecutionPlan(); |
| 1079 | } |
| 1080 | operators.emplace_back(op27, xnn_delete_operator); |
| 1081 | |
| 1082 | xnn_operator_t op28 = nullptr; |
| 1083 | status = xnn_create_convolution2d_nhwc_qc8( |
| 1084 | 0 /* top padding */, 0 /* right padding */, |
| 1085 | 0 /* bottom padding */, 0 /* left padding */, |
| 1086 | 1 /* kernel height */, 1 /* kernel width */, |
| 1087 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1088 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1089 | 1 /* groups */, |
| 1090 | 64 /* input channels per group */, |
| 1091 | 384 /* output_channels_per_group */, |
| 1092 | 64 /* input pixel stride */, |
| 1093 | 384 /* output pixel stride */, |
| 1094 | -1 /* input zero point */, 0.5f /* input scale */, |
| 1095 | s113.data(), w113.data(), w114.data(), |
| 1096 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1097 | 0 /* flags */, |
| 1098 | &op28); |
| 1099 | if (status != xnn_status_success) { |
| 1100 | std::cerr << "failed to create operation #28" << std::endl; |
| 1101 | return ExecutionPlan(); |
| 1102 | } |
| 1103 | operators.emplace_back(op28, xnn_delete_operator); |
| 1104 | |
| 1105 | xnn_operator_t op29 = nullptr; |
| 1106 | status = xnn_create_convolution2d_nhwc_qc8( |
| 1107 | 1 /* top padding */, 1 /* right padding */, |
| 1108 | 1 /* bottom padding */, 1 /* left padding */, |
| 1109 | 3 /* kernel height */, 3 /* kernel width */, |
| 1110 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1111 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1112 | 384 /* groups */, |
| 1113 | 1 /* input channels per group */, |
| 1114 | 1 /* output_channels_per_group */, |
| 1115 | 384 /* input pixel stride */, |
| 1116 | 384 /* output pixel stride */, |
| 1117 | -1 /* input zero point */, 0.5f /* input scale */, |
| 1118 | s115.data(), w115.data(), w116.data(), |
| 1119 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1120 | 0 /* flags */, |
| 1121 | &op29); |
| 1122 | if (status != xnn_status_success) { |
| 1123 | std::cerr << "failed to create operation #29" << std::endl; |
| 1124 | return ExecutionPlan(); |
| 1125 | } |
| 1126 | operators.emplace_back(op29, xnn_delete_operator); |
| 1127 | |
| 1128 | xnn_operator_t op30 = nullptr; |
| 1129 | status = xnn_create_convolution2d_nhwc_qc8( |
| 1130 | 0 /* top padding */, 0 /* right padding */, |
| 1131 | 0 /* bottom padding */, 0 /* left padding */, |
| 1132 | 1 /* kernel height */, 1 /* kernel width */, |
| 1133 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1134 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1135 | 1 /* groups */, |
| 1136 | 384 /* input channels per group */, |
| 1137 | 64 /* output_channels_per_group */, |
| 1138 | 384 /* input pixel stride */, |
| 1139 | 64 /* output pixel stride */, |
| 1140 | -1 /* input zero point */, 0.5f /* input scale */, |
| 1141 | s117.data(), w117.data(), w118.data(), |
| 1142 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1143 | 0 /* flags */, |
| 1144 | &op30); |
| 1145 | if (status != xnn_status_success) { |
| 1146 | std::cerr << "failed to create operation #30" << std::endl; |
| 1147 | return ExecutionPlan(); |
| 1148 | } |
| 1149 | operators.emplace_back(op30, xnn_delete_operator); |
| 1150 | |
| 1151 | xnn_operator_t op31 = nullptr; |
| 1152 | status = xnn_create_add_nd_qs8( |
| 1153 | -1 /* input1 zero point */, 0.5f /* input1 scale */, |
| 1154 | -1 /* input2 zero point */, 0.5f /* input2 scale */, |
| 1155 | -1 /* output zero point */, 1.0f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1156 | 0 /* flags */, |
| 1157 | &op31); |
| 1158 | if (status != xnn_status_success) { |
| 1159 | std::cerr << "failed to create operation #31" << std::endl; |
| 1160 | return ExecutionPlan(); |
| 1161 | } |
| 1162 | operators.emplace_back(op31, xnn_delete_operator); |
| 1163 | |
| 1164 | xnn_operator_t op32 = nullptr; |
| 1165 | status = xnn_create_convolution2d_nhwc_qc8( |
| 1166 | 0 /* top padding */, 0 /* right padding */, |
| 1167 | 0 /* bottom padding */, 0 /* left padding */, |
| 1168 | 1 /* kernel height */, 1 /* kernel width */, |
| 1169 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1170 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1171 | 1 /* groups */, |
| 1172 | 64 /* input channels per group */, |
| 1173 | 384 /* output_channels_per_group */, |
| 1174 | 64 /* input pixel stride */, |
| 1175 | 384 /* output pixel stride */, |
| 1176 | -1 /* input zero point */, 0.5f /* input scale */, |
| 1177 | s119.data(), w119.data(), w120.data(), |
| 1178 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1179 | 0 /* flags */, |
| 1180 | &op32); |
| 1181 | if (status != xnn_status_success) { |
| 1182 | std::cerr << "failed to create operation #32" << std::endl; |
| 1183 | return ExecutionPlan(); |
| 1184 | } |
| 1185 | operators.emplace_back(op32, xnn_delete_operator); |
| 1186 | |
| 1187 | xnn_operator_t op33 = nullptr; |
| 1188 | status = xnn_create_convolution2d_nhwc_qc8( |
| 1189 | 1 /* top padding */, 1 /* right padding */, |
| 1190 | 1 /* bottom padding */, 1 /* left padding */, |
| 1191 | 3 /* kernel height */, 3 /* kernel width */, |
| 1192 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1193 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1194 | 384 /* groups */, |
| 1195 | 1 /* input channels per group */, |
| 1196 | 1 /* output_channels_per_group */, |
| 1197 | 384 /* input pixel stride */, |
| 1198 | 384 /* output pixel stride */, |
| 1199 | -1 /* input zero point */, 0.5f /* input scale */, |
| 1200 | s121.data(), w121.data(), w122.data(), |
| 1201 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1202 | 0 /* flags */, |
| 1203 | &op33); |
| 1204 | if (status != xnn_status_success) { |
| 1205 | std::cerr << "failed to create operation #33" << std::endl; |
| 1206 | return ExecutionPlan(); |
| 1207 | } |
| 1208 | operators.emplace_back(op33, xnn_delete_operator); |
| 1209 | |
| 1210 | xnn_operator_t op34 = nullptr; |
| 1211 | status = xnn_create_convolution2d_nhwc_qc8( |
| 1212 | 0 /* top padding */, 0 /* right padding */, |
| 1213 | 0 /* bottom padding */, 0 /* left padding */, |
| 1214 | 1 /* kernel height */, 1 /* kernel width */, |
| 1215 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1216 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1217 | 1 /* groups */, |
| 1218 | 384 /* input channels per group */, |
| 1219 | 64 /* output_channels_per_group */, |
| 1220 | 384 /* input pixel stride */, |
| 1221 | 64 /* output pixel stride */, |
| 1222 | -1 /* input zero point */, 0.5f /* input scale */, |
| 1223 | s123.data(), w123.data(), w124.data(), |
| 1224 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1225 | 0 /* flags */, |
| 1226 | &op34); |
| 1227 | if (status != xnn_status_success) { |
| 1228 | std::cerr << "failed to create operation #34" << std::endl; |
| 1229 | return ExecutionPlan(); |
| 1230 | } |
| 1231 | operators.emplace_back(op34, xnn_delete_operator); |
| 1232 | |
| 1233 | xnn_operator_t op35 = nullptr; |
| 1234 | status = xnn_create_add_nd_qs8( |
| 1235 | -1 /* input1 zero point */, 0.5f /* input1 scale */, |
| 1236 | -1 /* input2 zero point */, 0.5f /* input2 scale */, |
| 1237 | -1 /* output zero point */, 1.0f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1238 | 0 /* flags */, |
| 1239 | &op35); |
| 1240 | if (status != xnn_status_success) { |
| 1241 | std::cerr << "failed to create operation #35" << std::endl; |
| 1242 | return ExecutionPlan(); |
| 1243 | } |
| 1244 | operators.emplace_back(op35, xnn_delete_operator); |
| 1245 | |
| 1246 | xnn_operator_t op36 = nullptr; |
| 1247 | status = xnn_create_convolution2d_nhwc_qc8( |
| 1248 | 0 /* top padding */, 0 /* right padding */, |
| 1249 | 0 /* bottom padding */, 0 /* left padding */, |
| 1250 | 1 /* kernel height */, 1 /* kernel width */, |
| 1251 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1252 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1253 | 1 /* groups */, |
| 1254 | 64 /* input channels per group */, |
| 1255 | 384 /* output_channels_per_group */, |
| 1256 | 64 /* input pixel stride */, |
| 1257 | 384 /* output pixel stride */, |
| 1258 | -1 /* input zero point */, 0.5f /* input scale */, |
| 1259 | s125.data(), w125.data(), w126.data(), |
| 1260 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1261 | 0 /* flags */, |
| 1262 | &op36); |
| 1263 | if (status != xnn_status_success) { |
| 1264 | std::cerr << "failed to create operation #36" << std::endl; |
| 1265 | return ExecutionPlan(); |
| 1266 | } |
| 1267 | operators.emplace_back(op36, xnn_delete_operator); |
| 1268 | |
| 1269 | xnn_operator_t op37 = nullptr; |
| 1270 | status = xnn_create_convolution2d_nhwc_qc8( |
| 1271 | 1 /* top padding */, 1 /* right padding */, |
| 1272 | 1 /* bottom padding */, 1 /* left padding */, |
| 1273 | 3 /* kernel height */, 3 /* kernel width */, |
| 1274 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1275 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1276 | 384 /* groups */, |
| 1277 | 1 /* input channels per group */, |
| 1278 | 1 /* output_channels_per_group */, |
| 1279 | 384 /* input pixel stride */, |
| 1280 | 384 /* output pixel stride */, |
| 1281 | -1 /* input zero point */, 0.5f /* input scale */, |
| 1282 | s127.data(), w127.data(), w128.data(), |
| 1283 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1284 | 0 /* flags */, |
| 1285 | &op37); |
| 1286 | if (status != xnn_status_success) { |
| 1287 | std::cerr << "failed to create operation #37" << std::endl; |
| 1288 | return ExecutionPlan(); |
| 1289 | } |
| 1290 | operators.emplace_back(op37, xnn_delete_operator); |
| 1291 | |
| 1292 | xnn_operator_t op38 = nullptr; |
| 1293 | status = xnn_create_convolution2d_nhwc_qc8( |
| 1294 | 0 /* top padding */, 0 /* right padding */, |
| 1295 | 0 /* bottom padding */, 0 /* left padding */, |
| 1296 | 1 /* kernel height */, 1 /* kernel width */, |
| 1297 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1298 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1299 | 1 /* groups */, |
| 1300 | 384 /* input channels per group */, |
| 1301 | 96 /* output_channels_per_group */, |
| 1302 | 384 /* input pixel stride */, |
| 1303 | 96 /* output pixel stride */, |
| 1304 | -1 /* input zero point */, 0.5f /* input scale */, |
| 1305 | s129.data(), w129.data(), w130.data(), |
| 1306 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1307 | 0 /* flags */, |
| 1308 | &op38); |
| 1309 | if (status != xnn_status_success) { |
| 1310 | std::cerr << "failed to create operation #38" << std::endl; |
| 1311 | return ExecutionPlan(); |
| 1312 | } |
| 1313 | operators.emplace_back(op38, xnn_delete_operator); |
| 1314 | |
| 1315 | xnn_operator_t op39 = nullptr; |
| 1316 | status = xnn_create_convolution2d_nhwc_qc8( |
| 1317 | 0 /* top padding */, 0 /* right padding */, |
| 1318 | 0 /* bottom padding */, 0 /* left padding */, |
| 1319 | 1 /* kernel height */, 1 /* kernel width */, |
| 1320 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1321 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1322 | 1 /* groups */, |
| 1323 | 96 /* input channels per group */, |
| 1324 | 576 /* output_channels_per_group */, |
| 1325 | 96 /* input pixel stride */, |
| 1326 | 576 /* output pixel stride */, |
| 1327 | -1 /* input zero point */, 0.5f /* input scale */, |
| 1328 | s131.data(), w131.data(), w132.data(), |
| 1329 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1330 | 0 /* flags */, |
| 1331 | &op39); |
| 1332 | if (status != xnn_status_success) { |
| 1333 | std::cerr << "failed to create operation #39" << std::endl; |
| 1334 | return ExecutionPlan(); |
| 1335 | } |
| 1336 | operators.emplace_back(op39, xnn_delete_operator); |
| 1337 | |
| 1338 | xnn_operator_t op40 = nullptr; |
| 1339 | status = xnn_create_convolution2d_nhwc_qc8( |
| 1340 | 1 /* top padding */, 1 /* right padding */, |
| 1341 | 1 /* bottom padding */, 1 /* left padding */, |
| 1342 | 3 /* kernel height */, 3 /* kernel width */, |
| 1343 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1344 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1345 | 576 /* groups */, |
| 1346 | 1 /* input channels per group */, |
| 1347 | 1 /* output_channels_per_group */, |
| 1348 | 576 /* input pixel stride */, |
| 1349 | 576 /* output pixel stride */, |
| 1350 | -1 /* input zero point */, 0.5f /* input scale */, |
| 1351 | s133.data(), w133.data(), w134.data(), |
| 1352 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1353 | 0 /* flags */, |
| 1354 | &op40); |
| 1355 | if (status != xnn_status_success) { |
| 1356 | std::cerr << "failed to create operation #40" << std::endl; |
| 1357 | return ExecutionPlan(); |
| 1358 | } |
| 1359 | operators.emplace_back(op40, xnn_delete_operator); |
| 1360 | |
| 1361 | xnn_operator_t op41 = nullptr; |
| 1362 | status = xnn_create_convolution2d_nhwc_qc8( |
| 1363 | 0 /* top padding */, 0 /* right padding */, |
| 1364 | 0 /* bottom padding */, 0 /* left padding */, |
| 1365 | 1 /* kernel height */, 1 /* kernel width */, |
| 1366 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1367 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1368 | 1 /* groups */, |
| 1369 | 576 /* input channels per group */, |
| 1370 | 96 /* output_channels_per_group */, |
| 1371 | 576 /* input pixel stride */, |
| 1372 | 96 /* output pixel stride */, |
| 1373 | -1 /* input zero point */, 0.5f /* input scale */, |
| 1374 | s135.data(), w135.data(), w136.data(), |
| 1375 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1376 | 0 /* flags */, |
| 1377 | &op41); |
| 1378 | if (status != xnn_status_success) { |
| 1379 | std::cerr << "failed to create operation #41" << std::endl; |
| 1380 | return ExecutionPlan(); |
| 1381 | } |
| 1382 | operators.emplace_back(op41, xnn_delete_operator); |
| 1383 | |
| 1384 | xnn_operator_t op42 = nullptr; |
| 1385 | status = xnn_create_add_nd_qs8( |
| 1386 | -1 /* input1 zero point */, 0.5f /* input1 scale */, |
| 1387 | -1 /* input2 zero point */, 0.5f /* input2 scale */, |
| 1388 | -1 /* output zero point */, 1.0f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1389 | 0 /* flags */, |
| 1390 | &op42); |
| 1391 | if (status != xnn_status_success) { |
| 1392 | std::cerr << "failed to create operation #42" << std::endl; |
| 1393 | return ExecutionPlan(); |
| 1394 | } |
| 1395 | operators.emplace_back(op42, xnn_delete_operator); |
| 1396 | |
| 1397 | xnn_operator_t op43 = nullptr; |
| 1398 | status = xnn_create_convolution2d_nhwc_qc8( |
| 1399 | 0 /* top padding */, 0 /* right padding */, |
| 1400 | 0 /* bottom padding */, 0 /* left padding */, |
| 1401 | 1 /* kernel height */, 1 /* kernel width */, |
| 1402 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1403 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1404 | 1 /* groups */, |
| 1405 | 96 /* input channels per group */, |
| 1406 | 576 /* output_channels_per_group */, |
| 1407 | 96 /* input pixel stride */, |
| 1408 | 576 /* output pixel stride */, |
| 1409 | -1 /* input zero point */, 0.5f /* input scale */, |
| 1410 | s137.data(), w137.data(), w138.data(), |
| 1411 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1412 | 0 /* flags */, |
| 1413 | &op43); |
| 1414 | if (status != xnn_status_success) { |
| 1415 | std::cerr << "failed to create operation #43" << std::endl; |
| 1416 | return ExecutionPlan(); |
| 1417 | } |
| 1418 | operators.emplace_back(op43, xnn_delete_operator); |
| 1419 | |
| 1420 | xnn_operator_t op44 = nullptr; |
| 1421 | status = xnn_create_convolution2d_nhwc_qc8( |
| 1422 | 1 /* top padding */, 1 /* right padding */, |
| 1423 | 1 /* bottom padding */, 1 /* left padding */, |
| 1424 | 3 /* kernel height */, 3 /* kernel width */, |
| 1425 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1426 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1427 | 576 /* groups */, |
| 1428 | 1 /* input channels per group */, |
| 1429 | 1 /* output_channels_per_group */, |
| 1430 | 576 /* input pixel stride */, |
| 1431 | 576 /* output pixel stride */, |
| 1432 | -1 /* input zero point */, 0.5f /* input scale */, |
| 1433 | s139.data(), w139.data(), w140.data(), |
| 1434 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1435 | 0 /* flags */, |
| 1436 | &op44); |
| 1437 | if (status != xnn_status_success) { |
| 1438 | std::cerr << "failed to create operation #44" << std::endl; |
| 1439 | return ExecutionPlan(); |
| 1440 | } |
| 1441 | operators.emplace_back(op44, xnn_delete_operator); |
| 1442 | |
| 1443 | xnn_operator_t op45 = nullptr; |
| 1444 | status = xnn_create_convolution2d_nhwc_qc8( |
| 1445 | 0 /* top padding */, 0 /* right padding */, |
| 1446 | 0 /* bottom padding */, 0 /* left padding */, |
| 1447 | 1 /* kernel height */, 1 /* kernel width */, |
| 1448 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1449 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1450 | 1 /* groups */, |
| 1451 | 576 /* input channels per group */, |
| 1452 | 96 /* output_channels_per_group */, |
| 1453 | 576 /* input pixel stride */, |
| 1454 | 96 /* output pixel stride */, |
| 1455 | -1 /* input zero point */, 0.5f /* input scale */, |
| 1456 | s141.data(), w141.data(), w142.data(), |
| 1457 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1458 | 0 /* flags */, |
| 1459 | &op45); |
| 1460 | if (status != xnn_status_success) { |
| 1461 | std::cerr << "failed to create operation #45" << std::endl; |
| 1462 | return ExecutionPlan(); |
| 1463 | } |
| 1464 | operators.emplace_back(op45, xnn_delete_operator); |
| 1465 | |
| 1466 | xnn_operator_t op46 = nullptr; |
| 1467 | status = xnn_create_add_nd_qs8( |
| 1468 | -1 /* input1 zero point */, 0.5f /* input1 scale */, |
| 1469 | -1 /* input2 zero point */, 0.5f /* input2 scale */, |
| 1470 | -1 /* output zero point */, 1.0f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1471 | 0 /* flags */, |
| 1472 | &op46); |
| 1473 | if (status != xnn_status_success) { |
| 1474 | std::cerr << "failed to create operation #46" << std::endl; |
| 1475 | return ExecutionPlan(); |
| 1476 | } |
| 1477 | operators.emplace_back(op46, xnn_delete_operator); |
| 1478 | |
| 1479 | xnn_operator_t op47 = nullptr; |
| 1480 | status = xnn_create_convolution2d_nhwc_qc8( |
| 1481 | 0 /* top padding */, 0 /* right padding */, |
| 1482 | 0 /* bottom padding */, 0 /* left padding */, |
| 1483 | 1 /* kernel height */, 1 /* kernel width */, |
| 1484 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1485 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1486 | 1 /* groups */, |
| 1487 | 96 /* input channels per group */, |
| 1488 | 576 /* output_channels_per_group */, |
| 1489 | 96 /* input pixel stride */, |
| 1490 | 576 /* output pixel stride */, |
| 1491 | -1 /* input zero point */, 0.5f /* input scale */, |
| 1492 | s143.data(), w143.data(), w144.data(), |
| 1493 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1494 | 0 /* flags */, |
| 1495 | &op47); |
| 1496 | if (status != xnn_status_success) { |
| 1497 | std::cerr << "failed to create operation #47" << std::endl; |
| 1498 | return ExecutionPlan(); |
| 1499 | } |
| 1500 | operators.emplace_back(op47, xnn_delete_operator); |
| 1501 | |
| 1502 | xnn_operator_t op48 = nullptr; |
| 1503 | status = xnn_create_convolution2d_nhwc_qc8( |
| 1504 | 0 /* top padding */, 1 /* right padding */, |
| 1505 | 1 /* bottom padding */, 0 /* left padding */, |
| 1506 | 3 /* kernel height */, 3 /* kernel width */, |
| 1507 | 2 /* subsampling height */, 2 /* subsampling width */, |
| 1508 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1509 | 576 /* groups */, |
| 1510 | 1 /* input channels per group */, |
| 1511 | 1 /* output_channels_per_group */, |
| 1512 | 576 /* input pixel stride */, |
| 1513 | 576 /* output pixel stride */, |
| 1514 | -1 /* input zero point */, 0.5f /* input scale */, |
| 1515 | s145.data(), w145.data(), w146.data(), |
| 1516 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1517 | 0 /* flags */, |
| 1518 | &op48); |
| 1519 | if (status != xnn_status_success) { |
| 1520 | std::cerr << "failed to create operation #48" << std::endl; |
| 1521 | return ExecutionPlan(); |
| 1522 | } |
| 1523 | operators.emplace_back(op48, xnn_delete_operator); |
| 1524 | |
| 1525 | xnn_operator_t op49 = nullptr; |
| 1526 | status = xnn_create_convolution2d_nhwc_qc8( |
| 1527 | 0 /* top padding */, 0 /* right padding */, |
| 1528 | 0 /* bottom padding */, 0 /* left padding */, |
| 1529 | 1 /* kernel height */, 1 /* kernel width */, |
| 1530 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1531 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1532 | 1 /* groups */, |
| 1533 | 576 /* input channels per group */, |
| 1534 | 160 /* output_channels_per_group */, |
| 1535 | 576 /* input pixel stride */, |
| 1536 | 160 /* output pixel stride */, |
| 1537 | -1 /* input zero point */, 0.5f /* input scale */, |
| 1538 | s147.data(), w147.data(), w148.data(), |
| 1539 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1540 | 0 /* flags */, |
| 1541 | &op49); |
| 1542 | if (status != xnn_status_success) { |
| 1543 | std::cerr << "failed to create operation #49" << std::endl; |
| 1544 | return ExecutionPlan(); |
| 1545 | } |
| 1546 | operators.emplace_back(op49, xnn_delete_operator); |
| 1547 | |
| 1548 | xnn_operator_t op50 = nullptr; |
| 1549 | status = xnn_create_convolution2d_nhwc_qc8( |
| 1550 | 0 /* top padding */, 0 /* right padding */, |
| 1551 | 0 /* bottom padding */, 0 /* left padding */, |
| 1552 | 1 /* kernel height */, 1 /* kernel width */, |
| 1553 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1554 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1555 | 1 /* groups */, |
| 1556 | 160 /* input channels per group */, |
| 1557 | 960 /* output_channels_per_group */, |
| 1558 | 160 /* input pixel stride */, |
| 1559 | 960 /* output pixel stride */, |
| 1560 | -1 /* input zero point */, 0.5f /* input scale */, |
| 1561 | s149.data(), w149.data(), w150.data(), |
| 1562 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1563 | 0 /* flags */, |
| 1564 | &op50); |
| 1565 | if (status != xnn_status_success) { |
| 1566 | std::cerr << "failed to create operation #50" << std::endl; |
| 1567 | return ExecutionPlan(); |
| 1568 | } |
| 1569 | operators.emplace_back(op50, xnn_delete_operator); |
| 1570 | |
| 1571 | xnn_operator_t op51 = nullptr; |
| 1572 | status = xnn_create_convolution2d_nhwc_qc8( |
| 1573 | 1 /* top padding */, 1 /* right padding */, |
| 1574 | 1 /* bottom padding */, 1 /* left padding */, |
| 1575 | 3 /* kernel height */, 3 /* kernel width */, |
| 1576 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1577 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1578 | 960 /* groups */, |
| 1579 | 1 /* input channels per group */, |
| 1580 | 1 /* output_channels_per_group */, |
| 1581 | 960 /* input pixel stride */, |
| 1582 | 960 /* output pixel stride */, |
| 1583 | -1 /* input zero point */, 0.5f /* input scale */, |
| 1584 | s151.data(), w151.data(), w152.data(), |
| 1585 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1586 | 0 /* flags */, |
| 1587 | &op51); |
| 1588 | if (status != xnn_status_success) { |
| 1589 | std::cerr << "failed to create operation #51" << std::endl; |
| 1590 | return ExecutionPlan(); |
| 1591 | } |
| 1592 | operators.emplace_back(op51, xnn_delete_operator); |
| 1593 | |
| 1594 | xnn_operator_t op52 = nullptr; |
| 1595 | status = xnn_create_convolution2d_nhwc_qc8( |
| 1596 | 0 /* top padding */, 0 /* right padding */, |
| 1597 | 0 /* bottom padding */, 0 /* left padding */, |
| 1598 | 1 /* kernel height */, 1 /* kernel width */, |
| 1599 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1600 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1601 | 1 /* groups */, |
| 1602 | 960 /* input channels per group */, |
| 1603 | 160 /* output_channels_per_group */, |
| 1604 | 960 /* input pixel stride */, |
| 1605 | 160 /* output pixel stride */, |
| 1606 | -1 /* input zero point */, 0.5f /* input scale */, |
| 1607 | s153.data(), w153.data(), w154.data(), |
| 1608 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1609 | 0 /* flags */, |
| 1610 | &op52); |
| 1611 | if (status != xnn_status_success) { |
| 1612 | std::cerr << "failed to create operation #52" << std::endl; |
| 1613 | return ExecutionPlan(); |
| 1614 | } |
| 1615 | operators.emplace_back(op52, xnn_delete_operator); |
| 1616 | |
| 1617 | xnn_operator_t op53 = nullptr; |
| 1618 | status = xnn_create_add_nd_qs8( |
| 1619 | -1 /* input1 zero point */, 0.5f /* input1 scale */, |
| 1620 | -1 /* input2 zero point */, 0.5f /* input2 scale */, |
| 1621 | -1 /* output zero point */, 1.0f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1622 | 0 /* flags */, |
| 1623 | &op53); |
| 1624 | if (status != xnn_status_success) { |
| 1625 | std::cerr << "failed to create operation #53" << std::endl; |
| 1626 | return ExecutionPlan(); |
| 1627 | } |
| 1628 | operators.emplace_back(op53, xnn_delete_operator); |
| 1629 | |
| 1630 | xnn_operator_t op54 = nullptr; |
| 1631 | status = xnn_create_convolution2d_nhwc_qc8( |
| 1632 | 0 /* top padding */, 0 /* right padding */, |
| 1633 | 0 /* bottom padding */, 0 /* left padding */, |
| 1634 | 1 /* kernel height */, 1 /* kernel width */, |
| 1635 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1636 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1637 | 1 /* groups */, |
| 1638 | 160 /* input channels per group */, |
| 1639 | 960 /* output_channels_per_group */, |
| 1640 | 160 /* input pixel stride */, |
| 1641 | 960 /* output pixel stride */, |
| 1642 | -1 /* input zero point */, 0.5f /* input scale */, |
| 1643 | s155.data(), w155.data(), w156.data(), |
| 1644 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1645 | 0 /* flags */, |
| 1646 | &op54); |
| 1647 | if (status != xnn_status_success) { |
| 1648 | std::cerr << "failed to create operation #54" << std::endl; |
| 1649 | return ExecutionPlan(); |
| 1650 | } |
| 1651 | operators.emplace_back(op54, xnn_delete_operator); |
| 1652 | |
| 1653 | xnn_operator_t op55 = nullptr; |
| 1654 | status = xnn_create_convolution2d_nhwc_qc8( |
| 1655 | 1 /* top padding */, 1 /* right padding */, |
| 1656 | 1 /* bottom padding */, 1 /* left padding */, |
| 1657 | 3 /* kernel height */, 3 /* kernel width */, |
| 1658 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1659 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1660 | 960 /* groups */, |
| 1661 | 1 /* input channels per group */, |
| 1662 | 1 /* output_channels_per_group */, |
| 1663 | 960 /* input pixel stride */, |
| 1664 | 960 /* output pixel stride */, |
| 1665 | -1 /* input zero point */, 0.5f /* input scale */, |
| 1666 | s157.data(), w157.data(), w158.data(), |
| 1667 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1668 | 0 /* flags */, |
| 1669 | &op55); |
| 1670 | if (status != xnn_status_success) { |
| 1671 | std::cerr << "failed to create operation #55" << std::endl; |
| 1672 | return ExecutionPlan(); |
| 1673 | } |
| 1674 | operators.emplace_back(op55, xnn_delete_operator); |
| 1675 | |
| 1676 | xnn_operator_t op56 = nullptr; |
| 1677 | status = xnn_create_convolution2d_nhwc_qc8( |
| 1678 | 0 /* top padding */, 0 /* right padding */, |
| 1679 | 0 /* bottom padding */, 0 /* left padding */, |
| 1680 | 1 /* kernel height */, 1 /* kernel width */, |
| 1681 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1682 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1683 | 1 /* groups */, |
| 1684 | 960 /* input channels per group */, |
| 1685 | 160 /* output_channels_per_group */, |
| 1686 | 960 /* input pixel stride */, |
| 1687 | 160 /* output pixel stride */, |
| 1688 | -1 /* input zero point */, 0.5f /* input scale */, |
| 1689 | s159.data(), w159.data(), w160.data(), |
| 1690 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1691 | 0 /* flags */, |
| 1692 | &op56); |
| 1693 | if (status != xnn_status_success) { |
| 1694 | std::cerr << "failed to create operation #56" << std::endl; |
| 1695 | return ExecutionPlan(); |
| 1696 | } |
| 1697 | operators.emplace_back(op56, xnn_delete_operator); |
| 1698 | |
| 1699 | xnn_operator_t op57 = nullptr; |
| 1700 | status = xnn_create_add_nd_qs8( |
| 1701 | -1 /* input1 zero point */, 0.5f /* input1 scale */, |
| 1702 | -1 /* input2 zero point */, 0.5f /* input2 scale */, |
| 1703 | -1 /* output zero point */, 1.0f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1704 | 0 /* flags */, |
| 1705 | &op57); |
| 1706 | if (status != xnn_status_success) { |
| 1707 | std::cerr << "failed to create operation #57" << std::endl; |
| 1708 | return ExecutionPlan(); |
| 1709 | } |
| 1710 | operators.emplace_back(op57, xnn_delete_operator); |
| 1711 | |
| 1712 | xnn_operator_t op58 = nullptr; |
| 1713 | status = xnn_create_convolution2d_nhwc_qc8( |
| 1714 | 0 /* top padding */, 0 /* right padding */, |
| 1715 | 0 /* bottom padding */, 0 /* left padding */, |
| 1716 | 1 /* kernel height */, 1 /* kernel width */, |
| 1717 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1718 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1719 | 1 /* groups */, |
| 1720 | 160 /* input channels per group */, |
| 1721 | 960 /* output_channels_per_group */, |
| 1722 | 160 /* input pixel stride */, |
| 1723 | 960 /* output pixel stride */, |
| 1724 | -1 /* input zero point */, 0.5f /* input scale */, |
| 1725 | s161.data(), w161.data(), w162.data(), |
| 1726 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1727 | 0 /* flags */, |
| 1728 | &op58); |
| 1729 | if (status != xnn_status_success) { |
| 1730 | std::cerr << "failed to create operation #58" << std::endl; |
| 1731 | return ExecutionPlan(); |
| 1732 | } |
| 1733 | operators.emplace_back(op58, xnn_delete_operator); |
| 1734 | |
| 1735 | xnn_operator_t op59 = nullptr; |
| 1736 | status = xnn_create_convolution2d_nhwc_qc8( |
| 1737 | 1 /* top padding */, 1 /* right padding */, |
| 1738 | 1 /* bottom padding */, 1 /* left padding */, |
| 1739 | 3 /* kernel height */, 3 /* kernel width */, |
| 1740 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1741 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1742 | 960 /* groups */, |
| 1743 | 1 /* input channels per group */, |
| 1744 | 1 /* output_channels_per_group */, |
| 1745 | 960 /* input pixel stride */, |
| 1746 | 960 /* output pixel stride */, |
| 1747 | -1 /* input zero point */, 0.5f /* input scale */, |
| 1748 | s163.data(), w163.data(), w164.data(), |
| 1749 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1750 | 0 /* flags */, |
| 1751 | &op59); |
| 1752 | if (status != xnn_status_success) { |
| 1753 | std::cerr << "failed to create operation #59" << std::endl; |
| 1754 | return ExecutionPlan(); |
| 1755 | } |
| 1756 | operators.emplace_back(op59, xnn_delete_operator); |
| 1757 | |
| 1758 | xnn_operator_t op60 = nullptr; |
| 1759 | status = xnn_create_convolution2d_nhwc_qc8( |
| 1760 | 0 /* top padding */, 0 /* right padding */, |
| 1761 | 0 /* bottom padding */, 0 /* left padding */, |
| 1762 | 1 /* kernel height */, 1 /* kernel width */, |
| 1763 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1764 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1765 | 1 /* groups */, |
| 1766 | 960 /* input channels per group */, |
| 1767 | 320 /* output_channels_per_group */, |
| 1768 | 960 /* input pixel stride */, |
| 1769 | 320 /* output pixel stride */, |
| 1770 | -1 /* input zero point */, 0.5f /* input scale */, |
| 1771 | s165.data(), w165.data(), w166.data(), |
| 1772 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1773 | 0 /* flags */, |
| 1774 | &op60); |
| 1775 | if (status != xnn_status_success) { |
| 1776 | std::cerr << "failed to create operation #60" << std::endl; |
| 1777 | return ExecutionPlan(); |
| 1778 | } |
| 1779 | operators.emplace_back(op60, xnn_delete_operator); |
| 1780 | |
| 1781 | xnn_operator_t op61 = nullptr; |
| 1782 | status = xnn_create_convolution2d_nhwc_qc8( |
| 1783 | 0 /* top padding */, 0 /* right padding */, |
| 1784 | 0 /* bottom padding */, 0 /* left padding */, |
| 1785 | 1 /* kernel height */, 1 /* kernel width */, |
| 1786 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1787 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1788 | 1 /* groups */, |
| 1789 | 320 /* input channels per group */, |
| 1790 | 1280 /* output_channels_per_group */, |
| 1791 | 320 /* input pixel stride */, |
| 1792 | 1280 /* output pixel stride */, |
| 1793 | -1 /* input zero point */, 0.5f /* input scale */, |
| 1794 | s167.data(), w167.data(), w168.data(), |
| 1795 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1796 | 0 /* flags */, |
| 1797 | &op61); |
| 1798 | if (status != xnn_status_success) { |
| 1799 | std::cerr << "failed to create operation #61" << std::endl; |
| 1800 | return ExecutionPlan(); |
| 1801 | } |
| 1802 | operators.emplace_back(op61, xnn_delete_operator); |
| 1803 | |
| 1804 | xnn_operator_t op62 = nullptr; |
| 1805 | status = xnn_create_global_average_pooling_nwc_qs8( |
| 1806 | 1280 /* channels */, 1280 /* input stride */, 1280 /* output stride */, |
| 1807 | -1 /* input zero point */, 0.5f /* input scale */, |
| 1808 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1809 | 0 /* flags */, |
| 1810 | &op62); |
| 1811 | if (status != xnn_status_success) { |
| 1812 | std::cerr << "failed to create operation #62" << std::endl; |
| 1813 | return ExecutionPlan(); |
| 1814 | } |
| 1815 | operators.emplace_back(op62, xnn_delete_operator); |
| 1816 | |
| 1817 | xnn_operator_t op63 = nullptr; |
| 1818 | status = xnn_create_convolution2d_nhwc_qc8( |
| 1819 | 0 /* top padding */, 0 /* right padding */, |
| 1820 | 0 /* bottom padding */, 0 /* left padding */, |
| 1821 | 1 /* kernel height */, 1 /* kernel width */, |
| 1822 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1823 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1824 | 1 /* groups */, |
| 1825 | 1280 /* input channels per group */, |
| 1826 | 1001 /* output_channels_per_group */, |
| 1827 | 1280 /* input pixel stride */, |
| 1828 | 1001 /* output pixel stride */, |
| 1829 | -1 /* input zero point */, 0.5f /* input scale */, |
| 1830 | s169.data(), w169.data(), w170.data(), |
| 1831 | -1 /* output zero point */, 0.5f /* output scale */, -126 /* output min */, 126 /* output max */, |
| 1832 | 0 /* flags */, |
| 1833 | &op63); |
| 1834 | if (status != xnn_status_success) { |
| 1835 | std::cerr << "failed to create operation #63" << std::endl; |
| 1836 | return ExecutionPlan(); |
| 1837 | } |
| 1838 | operators.emplace_back(op63, xnn_delete_operator); |
| 1839 | |
| 1840 | |
| 1841 | |
| 1842 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 1843 | op0, |
| 1844 | 1 /* batch size */, 224 /* input height */, 224 /* input width */, |
| 1845 | v0.data() /* input */, v1.data() /* output */, |
| 1846 | threadpool /* threadpool */); |
| 1847 | if (status != xnn_status_success) { |
| 1848 | std::cerr << "failed to setup operation #0" << std::endl; |
| 1849 | return ExecutionPlan(); |
| 1850 | } |
| 1851 | |
| 1852 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 1853 | op1, |
| 1854 | 1 /* batch size */, 112 /* input height */, 112 /* input width */, |
| 1855 | v1.data() /* input */, v2.data() /* output */, |
| 1856 | threadpool /* threadpool */); |
| 1857 | if (status != xnn_status_success) { |
| 1858 | std::cerr << "failed to setup operation #1" << std::endl; |
| 1859 | return ExecutionPlan(); |
| 1860 | } |
| 1861 | |
| 1862 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 1863 | op2, |
| 1864 | 1 /* batch size */, 112 /* input height */, 112 /* input width */, |
| 1865 | v2.data() /* input */, v3.data() /* output */, |
| 1866 | threadpool /* threadpool */); |
| 1867 | if (status != xnn_status_success) { |
| 1868 | std::cerr << "failed to setup operation #2" << std::endl; |
| 1869 | return ExecutionPlan(); |
| 1870 | } |
| 1871 | |
| 1872 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 1873 | op3, |
| 1874 | 1 /* batch size */, 112 /* input height */, 112 /* input width */, |
| 1875 | v3.data() /* input */, v4.data() /* output */, |
| 1876 | threadpool /* threadpool */); |
| 1877 | if (status != xnn_status_success) { |
| 1878 | std::cerr << "failed to setup operation #3" << std::endl; |
| 1879 | return ExecutionPlan(); |
| 1880 | } |
| 1881 | |
| 1882 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 1883 | op4, |
| 1884 | 1 /* batch size */, 112 /* input height */, 112 /* input width */, |
| 1885 | v4.data() /* input */, v5.data() /* output */, |
| 1886 | threadpool /* threadpool */); |
| 1887 | if (status != xnn_status_success) { |
| 1888 | std::cerr << "failed to setup operation #4" << std::endl; |
| 1889 | return ExecutionPlan(); |
| 1890 | } |
| 1891 | |
| 1892 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 1893 | op5, |
| 1894 | 1 /* batch size */, 56 /* input height */, 56 /* input width */, |
| 1895 | v5.data() /* input */, v6.data() /* output */, |
| 1896 | threadpool /* threadpool */); |
| 1897 | if (status != xnn_status_success) { |
| 1898 | std::cerr << "failed to setup operation #5" << std::endl; |
| 1899 | return ExecutionPlan(); |
| 1900 | } |
| 1901 | |
| 1902 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 1903 | op6, |
| 1904 | 1 /* batch size */, 56 /* input height */, 56 /* input width */, |
| 1905 | v6.data() /* input */, v7.data() /* output */, |
| 1906 | threadpool /* threadpool */); |
| 1907 | if (status != xnn_status_success) { |
| 1908 | std::cerr << "failed to setup operation #6" << std::endl; |
| 1909 | return ExecutionPlan(); |
| 1910 | } |
| 1911 | |
| 1912 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 1913 | op7, |
| 1914 | 1 /* batch size */, 56 /* input height */, 56 /* input width */, |
| 1915 | v7.data() /* input */, v8.data() /* output */, |
| 1916 | threadpool /* threadpool */); |
| 1917 | if (status != xnn_status_success) { |
| 1918 | std::cerr << "failed to setup operation #7" << std::endl; |
| 1919 | return ExecutionPlan(); |
| 1920 | } |
| 1921 | |
| 1922 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 1923 | op8, |
| 1924 | 1 /* batch size */, 56 /* input height */, 56 /* input width */, |
| 1925 | v8.data() /* input */, v9.data() /* output */, |
| 1926 | threadpool /* threadpool */); |
| 1927 | if (status != xnn_status_success) { |
| 1928 | std::cerr << "failed to setup operation #8" << std::endl; |
| 1929 | return ExecutionPlan(); |
| 1930 | } |
| 1931 | |
| 1932 | { |
| 1933 | const size_t a_shape[] = { 1, 56, 56, 24 }; |
| 1934 | const size_t b_shape[] = { 1, 56, 56, 24 }; |
| 1935 | status = xnn_setup_add_nd_qs8( |
| 1936 | op9, |
| 1937 | 4, a_shape, 4, b_shape, |
| 1938 | v9.data() /* a */, v6.data() /* b */, v10.data() /* output */, |
| 1939 | threadpool /* threadpool */); |
| 1940 | } |
| 1941 | if (status != xnn_status_success) { |
| 1942 | std::cerr << "failed to setup operation #9" << std::endl; |
| 1943 | return ExecutionPlan(); |
| 1944 | } |
| 1945 | |
| 1946 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 1947 | op10, |
| 1948 | 1 /* batch size */, 56 /* input height */, 56 /* input width */, |
| 1949 | v10.data() /* input */, v11.data() /* output */, |
| 1950 | threadpool /* threadpool */); |
| 1951 | if (status != xnn_status_success) { |
| 1952 | std::cerr << "failed to setup operation #10" << std::endl; |
| 1953 | return ExecutionPlan(); |
| 1954 | } |
| 1955 | |
| 1956 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 1957 | op11, |
| 1958 | 1 /* batch size */, 56 /* input height */, 56 /* input width */, |
| 1959 | v11.data() /* input */, v12.data() /* output */, |
| 1960 | threadpool /* threadpool */); |
| 1961 | if (status != xnn_status_success) { |
| 1962 | std::cerr << "failed to setup operation #11" << std::endl; |
| 1963 | return ExecutionPlan(); |
| 1964 | } |
| 1965 | |
| 1966 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 1967 | op12, |
| 1968 | 1 /* batch size */, 28 /* input height */, 28 /* input width */, |
| 1969 | v12.data() /* input */, v13.data() /* output */, |
| 1970 | threadpool /* threadpool */); |
| 1971 | if (status != xnn_status_success) { |
| 1972 | std::cerr << "failed to setup operation #12" << std::endl; |
| 1973 | return ExecutionPlan(); |
| 1974 | } |
| 1975 | |
| 1976 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 1977 | op13, |
| 1978 | 1 /* batch size */, 28 /* input height */, 28 /* input width */, |
| 1979 | v13.data() /* input */, v14.data() /* output */, |
| 1980 | threadpool /* threadpool */); |
| 1981 | if (status != xnn_status_success) { |
| 1982 | std::cerr << "failed to setup operation #13" << std::endl; |
| 1983 | return ExecutionPlan(); |
| 1984 | } |
| 1985 | |
| 1986 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 1987 | op14, |
| 1988 | 1 /* batch size */, 28 /* input height */, 28 /* input width */, |
| 1989 | v14.data() /* input */, v15.data() /* output */, |
| 1990 | threadpool /* threadpool */); |
| 1991 | if (status != xnn_status_success) { |
| 1992 | std::cerr << "failed to setup operation #14" << std::endl; |
| 1993 | return ExecutionPlan(); |
| 1994 | } |
| 1995 | |
| 1996 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 1997 | op15, |
| 1998 | 1 /* batch size */, 28 /* input height */, 28 /* input width */, |
| 1999 | v15.data() /* input */, v16.data() /* output */, |
| 2000 | threadpool /* threadpool */); |
| 2001 | if (status != xnn_status_success) { |
| 2002 | std::cerr << "failed to setup operation #15" << std::endl; |
| 2003 | return ExecutionPlan(); |
| 2004 | } |
| 2005 | |
| 2006 | { |
| 2007 | const size_t a_shape[] = { 1, 28, 28, 32 }; |
| 2008 | const size_t b_shape[] = { 1, 28, 28, 32 }; |
| 2009 | status = xnn_setup_add_nd_qs8( |
| 2010 | op16, |
| 2011 | 4, a_shape, 4, b_shape, |
| 2012 | v16.data() /* a */, v13.data() /* b */, v17.data() /* output */, |
| 2013 | threadpool /* threadpool */); |
| 2014 | } |
| 2015 | if (status != xnn_status_success) { |
| 2016 | std::cerr << "failed to setup operation #16" << std::endl; |
| 2017 | return ExecutionPlan(); |
| 2018 | } |
| 2019 | |
| 2020 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 2021 | op17, |
| 2022 | 1 /* batch size */, 28 /* input height */, 28 /* input width */, |
| 2023 | v17.data() /* input */, v18.data() /* output */, |
| 2024 | threadpool /* threadpool */); |
| 2025 | if (status != xnn_status_success) { |
| 2026 | std::cerr << "failed to setup operation #17" << std::endl; |
| 2027 | return ExecutionPlan(); |
| 2028 | } |
| 2029 | |
| 2030 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 2031 | op18, |
| 2032 | 1 /* batch size */, 28 /* input height */, 28 /* input width */, |
| 2033 | v18.data() /* input */, v19.data() /* output */, |
| 2034 | threadpool /* threadpool */); |
| 2035 | if (status != xnn_status_success) { |
| 2036 | std::cerr << "failed to setup operation #18" << std::endl; |
| 2037 | return ExecutionPlan(); |
| 2038 | } |
| 2039 | |
| 2040 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 2041 | op19, |
| 2042 | 1 /* batch size */, 28 /* input height */, 28 /* input width */, |
| 2043 | v19.data() /* input */, v20.data() /* output */, |
| 2044 | threadpool /* threadpool */); |
| 2045 | if (status != xnn_status_success) { |
| 2046 | std::cerr << "failed to setup operation #19" << std::endl; |
| 2047 | return ExecutionPlan(); |
| 2048 | } |
| 2049 | |
| 2050 | { |
| 2051 | const size_t a_shape[] = { 1, 28, 28, 32 }; |
| 2052 | const size_t b_shape[] = { 1, 28, 28, 32 }; |
| 2053 | status = xnn_setup_add_nd_qs8( |
| 2054 | op20, |
| 2055 | 4, a_shape, 4, b_shape, |
| 2056 | v20.data() /* a */, v17.data() /* b */, v21.data() /* output */, |
| 2057 | threadpool /* threadpool */); |
| 2058 | } |
| 2059 | if (status != xnn_status_success) { |
| 2060 | std::cerr << "failed to setup operation #20" << std::endl; |
| 2061 | return ExecutionPlan(); |
| 2062 | } |
| 2063 | |
| 2064 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 2065 | op21, |
| 2066 | 1 /* batch size */, 28 /* input height */, 28 /* input width */, |
| 2067 | v21.data() /* input */, v22.data() /* output */, |
| 2068 | threadpool /* threadpool */); |
| 2069 | if (status != xnn_status_success) { |
| 2070 | std::cerr << "failed to setup operation #21" << std::endl; |
| 2071 | return ExecutionPlan(); |
| 2072 | } |
| 2073 | |
| 2074 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 2075 | op22, |
| 2076 | 1 /* batch size */, 28 /* input height */, 28 /* input width */, |
| 2077 | v22.data() /* input */, v23.data() /* output */, |
| 2078 | threadpool /* threadpool */); |
| 2079 | if (status != xnn_status_success) { |
| 2080 | std::cerr << "failed to setup operation #22" << std::endl; |
| 2081 | return ExecutionPlan(); |
| 2082 | } |
| 2083 | |
| 2084 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 2085 | op23, |
| 2086 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2087 | v23.data() /* input */, v24.data() /* output */, |
| 2088 | threadpool /* threadpool */); |
| 2089 | if (status != xnn_status_success) { |
| 2090 | std::cerr << "failed to setup operation #23" << std::endl; |
| 2091 | return ExecutionPlan(); |
| 2092 | } |
| 2093 | |
| 2094 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 2095 | op24, |
| 2096 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2097 | v24.data() /* input */, v25.data() /* output */, |
| 2098 | threadpool /* threadpool */); |
| 2099 | if (status != xnn_status_success) { |
| 2100 | std::cerr << "failed to setup operation #24" << std::endl; |
| 2101 | return ExecutionPlan(); |
| 2102 | } |
| 2103 | |
| 2104 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 2105 | op25, |
| 2106 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2107 | v25.data() /* input */, v26.data() /* output */, |
| 2108 | threadpool /* threadpool */); |
| 2109 | if (status != xnn_status_success) { |
| 2110 | std::cerr << "failed to setup operation #25" << std::endl; |
| 2111 | return ExecutionPlan(); |
| 2112 | } |
| 2113 | |
| 2114 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 2115 | op26, |
| 2116 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2117 | v26.data() /* input */, v27.data() /* output */, |
| 2118 | threadpool /* threadpool */); |
| 2119 | if (status != xnn_status_success) { |
| 2120 | std::cerr << "failed to setup operation #26" << std::endl; |
| 2121 | return ExecutionPlan(); |
| 2122 | } |
| 2123 | |
| 2124 | { |
| 2125 | const size_t a_shape[] = { 1, 14, 14, 64 }; |
| 2126 | const size_t b_shape[] = { 1, 14, 14, 64 }; |
| 2127 | status = xnn_setup_add_nd_qs8( |
| 2128 | op27, |
| 2129 | 4, a_shape, 4, b_shape, |
| 2130 | v27.data() /* a */, v24.data() /* b */, v28.data() /* output */, |
| 2131 | threadpool /* threadpool */); |
| 2132 | } |
| 2133 | if (status != xnn_status_success) { |
| 2134 | std::cerr << "failed to setup operation #27" << std::endl; |
| 2135 | return ExecutionPlan(); |
| 2136 | } |
| 2137 | |
| 2138 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 2139 | op28, |
| 2140 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2141 | v28.data() /* input */, v29.data() /* output */, |
| 2142 | threadpool /* threadpool */); |
| 2143 | if (status != xnn_status_success) { |
| 2144 | std::cerr << "failed to setup operation #28" << std::endl; |
| 2145 | return ExecutionPlan(); |
| 2146 | } |
| 2147 | |
| 2148 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 2149 | op29, |
| 2150 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2151 | v29.data() /* input */, v30.data() /* output */, |
| 2152 | threadpool /* threadpool */); |
| 2153 | if (status != xnn_status_success) { |
| 2154 | std::cerr << "failed to setup operation #29" << std::endl; |
| 2155 | return ExecutionPlan(); |
| 2156 | } |
| 2157 | |
| 2158 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 2159 | op30, |
| 2160 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2161 | v30.data() /* input */, v31.data() /* output */, |
| 2162 | threadpool /* threadpool */); |
| 2163 | if (status != xnn_status_success) { |
| 2164 | std::cerr << "failed to setup operation #30" << std::endl; |
| 2165 | return ExecutionPlan(); |
| 2166 | } |
| 2167 | |
| 2168 | { |
| 2169 | const size_t a_shape[] = { 1, 14, 14, 64 }; |
| 2170 | const size_t b_shape[] = { 1, 14, 14, 64 }; |
| 2171 | status = xnn_setup_add_nd_qs8( |
| 2172 | op31, |
| 2173 | 4, a_shape, 4, b_shape, |
| 2174 | v31.data() /* a */, v28.data() /* b */, v32.data() /* output */, |
| 2175 | threadpool /* threadpool */); |
| 2176 | } |
| 2177 | if (status != xnn_status_success) { |
| 2178 | std::cerr << "failed to setup operation #31" << std::endl; |
| 2179 | return ExecutionPlan(); |
| 2180 | } |
| 2181 | |
| 2182 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 2183 | op32, |
| 2184 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2185 | v32.data() /* input */, v33.data() /* output */, |
| 2186 | threadpool /* threadpool */); |
| 2187 | if (status != xnn_status_success) { |
| 2188 | std::cerr << "failed to setup operation #32" << std::endl; |
| 2189 | return ExecutionPlan(); |
| 2190 | } |
| 2191 | |
| 2192 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 2193 | op33, |
| 2194 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2195 | v33.data() /* input */, v34.data() /* output */, |
| 2196 | threadpool /* threadpool */); |
| 2197 | if (status != xnn_status_success) { |
| 2198 | std::cerr << "failed to setup operation #33" << std::endl; |
| 2199 | return ExecutionPlan(); |
| 2200 | } |
| 2201 | |
| 2202 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 2203 | op34, |
| 2204 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2205 | v34.data() /* input */, v35.data() /* output */, |
| 2206 | threadpool /* threadpool */); |
| 2207 | if (status != xnn_status_success) { |
| 2208 | std::cerr << "failed to setup operation #34" << std::endl; |
| 2209 | return ExecutionPlan(); |
| 2210 | } |
| 2211 | |
| 2212 | { |
| 2213 | const size_t a_shape[] = { 1, 14, 14, 64 }; |
| 2214 | const size_t b_shape[] = { 1, 14, 14, 64 }; |
| 2215 | status = xnn_setup_add_nd_qs8( |
| 2216 | op35, |
| 2217 | 4, a_shape, 4, b_shape, |
| 2218 | v35.data() /* a */, v32.data() /* b */, v36.data() /* output */, |
| 2219 | threadpool /* threadpool */); |
| 2220 | } |
| 2221 | if (status != xnn_status_success) { |
| 2222 | std::cerr << "failed to setup operation #35" << std::endl; |
| 2223 | return ExecutionPlan(); |
| 2224 | } |
| 2225 | |
| 2226 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 2227 | op36, |
| 2228 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2229 | v36.data() /* input */, v37.data() /* output */, |
| 2230 | threadpool /* threadpool */); |
| 2231 | if (status != xnn_status_success) { |
| 2232 | std::cerr << "failed to setup operation #36" << std::endl; |
| 2233 | return ExecutionPlan(); |
| 2234 | } |
| 2235 | |
| 2236 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 2237 | op37, |
| 2238 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2239 | v37.data() /* input */, v38.data() /* output */, |
| 2240 | threadpool /* threadpool */); |
| 2241 | if (status != xnn_status_success) { |
| 2242 | std::cerr << "failed to setup operation #37" << std::endl; |
| 2243 | return ExecutionPlan(); |
| 2244 | } |
| 2245 | |
| 2246 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 2247 | op38, |
| 2248 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2249 | v38.data() /* input */, v39.data() /* output */, |
| 2250 | threadpool /* threadpool */); |
| 2251 | if (status != xnn_status_success) { |
| 2252 | std::cerr << "failed to setup operation #38" << std::endl; |
| 2253 | return ExecutionPlan(); |
| 2254 | } |
| 2255 | |
| 2256 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 2257 | op39, |
| 2258 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2259 | v39.data() /* input */, v40.data() /* output */, |
| 2260 | threadpool /* threadpool */); |
| 2261 | if (status != xnn_status_success) { |
| 2262 | std::cerr << "failed to setup operation #39" << std::endl; |
| 2263 | return ExecutionPlan(); |
| 2264 | } |
| 2265 | |
| 2266 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 2267 | op40, |
| 2268 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2269 | v40.data() /* input */, v41.data() /* output */, |
| 2270 | threadpool /* threadpool */); |
| 2271 | if (status != xnn_status_success) { |
| 2272 | std::cerr << "failed to setup operation #40" << std::endl; |
| 2273 | return ExecutionPlan(); |
| 2274 | } |
| 2275 | |
| 2276 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 2277 | op41, |
| 2278 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2279 | v41.data() /* input */, v42.data() /* output */, |
| 2280 | threadpool /* threadpool */); |
| 2281 | if (status != xnn_status_success) { |
| 2282 | std::cerr << "failed to setup operation #41" << std::endl; |
| 2283 | return ExecutionPlan(); |
| 2284 | } |
| 2285 | |
| 2286 | { |
| 2287 | const size_t a_shape[] = { 1, 14, 14, 96 }; |
| 2288 | const size_t b_shape[] = { 1, 14, 14, 96 }; |
| 2289 | status = xnn_setup_add_nd_qs8( |
| 2290 | op42, |
| 2291 | 4, a_shape, 4, b_shape, |
| 2292 | v42.data() /* a */, v39.data() /* b */, v43.data() /* output */, |
| 2293 | threadpool /* threadpool */); |
| 2294 | } |
| 2295 | if (status != xnn_status_success) { |
| 2296 | std::cerr << "failed to setup operation #42" << std::endl; |
| 2297 | return ExecutionPlan(); |
| 2298 | } |
| 2299 | |
| 2300 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 2301 | op43, |
| 2302 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2303 | v43.data() /* input */, v44.data() /* output */, |
| 2304 | threadpool /* threadpool */); |
| 2305 | if (status != xnn_status_success) { |
| 2306 | std::cerr << "failed to setup operation #43" << std::endl; |
| 2307 | return ExecutionPlan(); |
| 2308 | } |
| 2309 | |
| 2310 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 2311 | op44, |
| 2312 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2313 | v44.data() /* input */, v45.data() /* output */, |
| 2314 | threadpool /* threadpool */); |
| 2315 | if (status != xnn_status_success) { |
| 2316 | std::cerr << "failed to setup operation #44" << std::endl; |
| 2317 | return ExecutionPlan(); |
| 2318 | } |
| 2319 | |
| 2320 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 2321 | op45, |
| 2322 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2323 | v45.data() /* input */, v46.data() /* output */, |
| 2324 | threadpool /* threadpool */); |
| 2325 | if (status != xnn_status_success) { |
| 2326 | std::cerr << "failed to setup operation #45" << std::endl; |
| 2327 | return ExecutionPlan(); |
| 2328 | } |
| 2329 | |
| 2330 | { |
| 2331 | const size_t a_shape[] = { 1, 14, 14, 96 }; |
| 2332 | const size_t b_shape[] = { 1, 14, 14, 96 }; |
| 2333 | status = xnn_setup_add_nd_qs8( |
| 2334 | op46, |
| 2335 | 4, a_shape, 4, b_shape, |
| 2336 | v46.data() /* a */, v43.data() /* b */, v47.data() /* output */, |
| 2337 | threadpool /* threadpool */); |
| 2338 | } |
| 2339 | if (status != xnn_status_success) { |
| 2340 | std::cerr << "failed to setup operation #46" << std::endl; |
| 2341 | return ExecutionPlan(); |
| 2342 | } |
| 2343 | |
| 2344 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 2345 | op47, |
| 2346 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2347 | v47.data() /* input */, v48.data() /* output */, |
| 2348 | threadpool /* threadpool */); |
| 2349 | if (status != xnn_status_success) { |
| 2350 | std::cerr << "failed to setup operation #47" << std::endl; |
| 2351 | return ExecutionPlan(); |
| 2352 | } |
| 2353 | |
| 2354 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 2355 | op48, |
| 2356 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2357 | v48.data() /* input */, v49.data() /* output */, |
| 2358 | threadpool /* threadpool */); |
| 2359 | if (status != xnn_status_success) { |
| 2360 | std::cerr << "failed to setup operation #48" << std::endl; |
| 2361 | return ExecutionPlan(); |
| 2362 | } |
| 2363 | |
| 2364 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 2365 | op49, |
| 2366 | 1 /* batch size */, 7 /* input height */, 7 /* input width */, |
| 2367 | v49.data() /* input */, v50.data() /* output */, |
| 2368 | threadpool /* threadpool */); |
| 2369 | if (status != xnn_status_success) { |
| 2370 | std::cerr << "failed to setup operation #49" << std::endl; |
| 2371 | return ExecutionPlan(); |
| 2372 | } |
| 2373 | |
| 2374 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 2375 | op50, |
| 2376 | 1 /* batch size */, 7 /* input height */, 7 /* input width */, |
| 2377 | v50.data() /* input */, v51.data() /* output */, |
| 2378 | threadpool /* threadpool */); |
| 2379 | if (status != xnn_status_success) { |
| 2380 | std::cerr << "failed to setup operation #50" << std::endl; |
| 2381 | return ExecutionPlan(); |
| 2382 | } |
| 2383 | |
| 2384 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 2385 | op51, |
| 2386 | 1 /* batch size */, 7 /* input height */, 7 /* input width */, |
| 2387 | v51.data() /* input */, v52.data() /* output */, |
| 2388 | threadpool /* threadpool */); |
| 2389 | if (status != xnn_status_success) { |
| 2390 | std::cerr << "failed to setup operation #51" << std::endl; |
| 2391 | return ExecutionPlan(); |
| 2392 | } |
| 2393 | |
| 2394 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 2395 | op52, |
| 2396 | 1 /* batch size */, 7 /* input height */, 7 /* input width */, |
| 2397 | v52.data() /* input */, v53.data() /* output */, |
| 2398 | threadpool /* threadpool */); |
| 2399 | if (status != xnn_status_success) { |
| 2400 | std::cerr << "failed to setup operation #52" << std::endl; |
| 2401 | return ExecutionPlan(); |
| 2402 | } |
| 2403 | |
| 2404 | { |
| 2405 | const size_t a_shape[] = { 1, 7, 7, 160 }; |
| 2406 | const size_t b_shape[] = { 1, 7, 7, 160 }; |
| 2407 | status = xnn_setup_add_nd_qs8( |
| 2408 | op53, |
| 2409 | 4, a_shape, 4, b_shape, |
| 2410 | v53.data() /* a */, v50.data() /* b */, v54.data() /* output */, |
| 2411 | threadpool /* threadpool */); |
| 2412 | } |
| 2413 | if (status != xnn_status_success) { |
| 2414 | std::cerr << "failed to setup operation #53" << std::endl; |
| 2415 | return ExecutionPlan(); |
| 2416 | } |
| 2417 | |
| 2418 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 2419 | op54, |
| 2420 | 1 /* batch size */, 7 /* input height */, 7 /* input width */, |
| 2421 | v54.data() /* input */, v55.data() /* output */, |
| 2422 | threadpool /* threadpool */); |
| 2423 | if (status != xnn_status_success) { |
| 2424 | std::cerr << "failed to setup operation #54" << std::endl; |
| 2425 | return ExecutionPlan(); |
| 2426 | } |
| 2427 | |
| 2428 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 2429 | op55, |
| 2430 | 1 /* batch size */, 7 /* input height */, 7 /* input width */, |
| 2431 | v55.data() /* input */, v56.data() /* output */, |
| 2432 | threadpool /* threadpool */); |
| 2433 | if (status != xnn_status_success) { |
| 2434 | std::cerr << "failed to setup operation #55" << std::endl; |
| 2435 | return ExecutionPlan(); |
| 2436 | } |
| 2437 | |
| 2438 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 2439 | op56, |
| 2440 | 1 /* batch size */, 7 /* input height */, 7 /* input width */, |
| 2441 | v56.data() /* input */, v57.data() /* output */, |
| 2442 | threadpool /* threadpool */); |
| 2443 | if (status != xnn_status_success) { |
| 2444 | std::cerr << "failed to setup operation #56" << std::endl; |
| 2445 | return ExecutionPlan(); |
| 2446 | } |
| 2447 | |
| 2448 | { |
| 2449 | const size_t a_shape[] = { 1, 7, 7, 160 }; |
| 2450 | const size_t b_shape[] = { 1, 7, 7, 160 }; |
| 2451 | status = xnn_setup_add_nd_qs8( |
| 2452 | op57, |
| 2453 | 4, a_shape, 4, b_shape, |
| 2454 | v57.data() /* a */, v54.data() /* b */, v58.data() /* output */, |
| 2455 | threadpool /* threadpool */); |
| 2456 | } |
| 2457 | if (status != xnn_status_success) { |
| 2458 | std::cerr << "failed to setup operation #57" << std::endl; |
| 2459 | return ExecutionPlan(); |
| 2460 | } |
| 2461 | |
| 2462 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 2463 | op58, |
| 2464 | 1 /* batch size */, 7 /* input height */, 7 /* input width */, |
| 2465 | v58.data() /* input */, v59.data() /* output */, |
| 2466 | threadpool /* threadpool */); |
| 2467 | if (status != xnn_status_success) { |
| 2468 | std::cerr << "failed to setup operation #58" << std::endl; |
| 2469 | return ExecutionPlan(); |
| 2470 | } |
| 2471 | |
| 2472 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 2473 | op59, |
| 2474 | 1 /* batch size */, 7 /* input height */, 7 /* input width */, |
| 2475 | v59.data() /* input */, v60.data() /* output */, |
| 2476 | threadpool /* threadpool */); |
| 2477 | if (status != xnn_status_success) { |
| 2478 | std::cerr << "failed to setup operation #59" << std::endl; |
| 2479 | return ExecutionPlan(); |
| 2480 | } |
| 2481 | |
| 2482 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 2483 | op60, |
| 2484 | 1 /* batch size */, 7 /* input height */, 7 /* input width */, |
| 2485 | v60.data() /* input */, v61.data() /* output */, |
| 2486 | threadpool /* threadpool */); |
| 2487 | if (status != xnn_status_success) { |
| 2488 | std::cerr << "failed to setup operation #60" << std::endl; |
| 2489 | return ExecutionPlan(); |
| 2490 | } |
| 2491 | |
| 2492 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 2493 | op61, |
| 2494 | 1 /* batch size */, 7 /* input height */, 7 /* input width */, |
| 2495 | v61.data() /* input */, v62.data() /* output */, |
| 2496 | threadpool /* threadpool */); |
| 2497 | if (status != xnn_status_success) { |
| 2498 | std::cerr << "failed to setup operation #61" << std::endl; |
| 2499 | return ExecutionPlan(); |
| 2500 | } |
| 2501 | |
| 2502 | status = xnn_setup_global_average_pooling_nwc_qs8( |
| 2503 | op62, |
| 2504 | 1 /* batch size */, 49 /* width */, |
| 2505 | v62.data() /* input */, v63.data() /* output */, |
| 2506 | threadpool /* threadpool */); |
| 2507 | if (status != xnn_status_success) { |
| 2508 | std::cerr << "failed to setup operation #62" << std::endl; |
| 2509 | return ExecutionPlan(); |
| 2510 | } |
| 2511 | |
| 2512 | status = xnn_setup_convolution2d_nhwc_qc8( |
| 2513 | op63, |
| 2514 | 1 /* batch size */, 1 /* input height */, 1 /* input width */, |
| 2515 | v63.data() /* input */, v64.data() /* output */, |
| 2516 | threadpool /* threadpool */); |
| 2517 | if (status != xnn_status_success) { |
| 2518 | std::cerr << "failed to setup operation #63" << std::endl; |
| 2519 | return ExecutionPlan(); |
| 2520 | } |
| 2521 | |
| 2522 | #pragma clang diagnostic push |
| 2523 | #pragma clang diagnostic ignored "-Wpessimizing-move" |
| 2524 | return operators; |
| 2525 | #pragma clang diagnostic pop |
| 2526 | } |
| 2527 | |
| 2528 | } // namespace models |