Marat Dukhan | 036b2b1 | 2021-07-21 01:12:58 -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 QU8MobileNetV2(pthreadpool_t threadpool) { |
| 20 | alignas(16) static std::array<uint8_t, 150528 + XNN_EXTRA_BYTES / sizeof(uint8_t)> v0; |
| 21 | alignas(16) static std::array<uint8_t, 401408> v1; |
| 22 | alignas(16) static std::array<uint8_t, 401408> v2; |
| 23 | alignas(16) static std::array<uint8_t, 200704> v3; |
| 24 | alignas(16) static std::array<uint8_t, 1204224> v4; |
| 25 | alignas(16) static std::array<uint8_t, 301056> v5; |
| 26 | alignas(16) static std::array<uint8_t, 75264> v6; |
| 27 | alignas(16) static std::array<uint8_t, 451584> v7; |
| 28 | alignas(16) static std::array<uint8_t, 451584> v8; |
| 29 | alignas(16) static std::array<uint8_t, 75264> v9; |
| 30 | alignas(16) static std::array<uint8_t, 75264> v10; |
| 31 | alignas(16) static std::array<uint8_t, 451584> v11; |
| 32 | alignas(16) static std::array<uint8_t, 112896> v12; |
| 33 | alignas(16) static std::array<uint8_t, 25088> v13; |
| 34 | alignas(16) static std::array<uint8_t, 150528> v14; |
| 35 | alignas(16) static std::array<uint8_t, 150528> v15; |
| 36 | alignas(16) static std::array<uint8_t, 25088> v16; |
| 37 | alignas(16) static std::array<uint8_t, 25088> v17; |
| 38 | alignas(16) static std::array<uint8_t, 150528> v18; |
| 39 | alignas(16) static std::array<uint8_t, 150528> v19; |
| 40 | alignas(16) static std::array<uint8_t, 25088> v20; |
| 41 | alignas(16) static std::array<uint8_t, 25088> v21; |
| 42 | alignas(16) static std::array<uint8_t, 150528> v22; |
| 43 | alignas(16) static std::array<uint8_t, 37632> v23; |
| 44 | alignas(16) static std::array<uint8_t, 12544> v24; |
| 45 | alignas(16) static std::array<uint8_t, 75264> v25; |
| 46 | alignas(16) static std::array<uint8_t, 75264> v26; |
| 47 | alignas(16) static std::array<uint8_t, 12544> v27; |
| 48 | alignas(16) static std::array<uint8_t, 12544> v28; |
| 49 | alignas(16) static std::array<uint8_t, 75264> v29; |
| 50 | alignas(16) static std::array<uint8_t, 75264> v30; |
| 51 | alignas(16) static std::array<uint8_t, 12544> v31; |
| 52 | alignas(16) static std::array<uint8_t, 12544> v32; |
| 53 | alignas(16) static std::array<uint8_t, 75264> v33; |
| 54 | alignas(16) static std::array<uint8_t, 75264> v34; |
| 55 | alignas(16) static std::array<uint8_t, 12544> v35; |
| 56 | alignas(16) static std::array<uint8_t, 12544> v36; |
| 57 | alignas(16) static std::array<uint8_t, 75264> v37; |
| 58 | alignas(16) static std::array<uint8_t, 75264> v38; |
| 59 | alignas(16) static std::array<uint8_t, 18816> v39; |
| 60 | alignas(16) static std::array<uint8_t, 112896> v40; |
| 61 | alignas(16) static std::array<uint8_t, 112896> v41; |
| 62 | alignas(16) static std::array<uint8_t, 18816> v42; |
| 63 | alignas(16) static std::array<uint8_t, 18816> v43; |
| 64 | alignas(16) static std::array<uint8_t, 112896> v44; |
| 65 | alignas(16) static std::array<uint8_t, 112896> v45; |
| 66 | alignas(16) static std::array<uint8_t, 18816> v46; |
| 67 | alignas(16) static std::array<uint8_t, 18816> v47; |
| 68 | alignas(16) static std::array<uint8_t, 112896> v48; |
| 69 | alignas(16) static std::array<uint8_t, 28224> v49; |
| 70 | alignas(16) static std::array<uint8_t, 7840> v50; |
| 71 | alignas(16) static std::array<uint8_t, 47040> v51; |
| 72 | alignas(16) static std::array<uint8_t, 47040> v52; |
| 73 | alignas(16) static std::array<uint8_t, 7840> v53; |
| 74 | alignas(16) static std::array<uint8_t, 7840> v54; |
| 75 | alignas(16) static std::array<uint8_t, 47040> v55; |
| 76 | alignas(16) static std::array<uint8_t, 47040> v56; |
| 77 | alignas(16) static std::array<uint8_t, 7840> v57; |
| 78 | alignas(16) static std::array<uint8_t, 7840> v58; |
| 79 | alignas(16) static std::array<uint8_t, 47040> v59; |
| 80 | alignas(16) static std::array<uint8_t, 47040> v60; |
| 81 | alignas(16) static std::array<uint8_t, 15680> v61; |
| 82 | alignas(16) static std::array<uint8_t, 62720> v62; |
| 83 | alignas(16) static std::array<uint8_t, 1280> v63; |
| 84 | alignas(16) static std::array<uint8_t, 1001> v64; |
| 85 | alignas(16) static std::array<uint8_t, 864> w65; |
| 86 | alignas(16) static std::array<int32_t, 32> w66; |
| 87 | alignas(16) static std::array<uint8_t, 288> w67; |
| 88 | alignas(16) static std::array<int32_t, 32> w68; |
| 89 | alignas(16) static std::array<uint8_t, 512> w69; |
| 90 | alignas(16) static std::array<int32_t, 16> w70; |
| 91 | alignas(16) static std::array<uint8_t, 1536> w71; |
| 92 | alignas(16) static std::array<int32_t, 96> w72; |
| 93 | alignas(16) static std::array<uint8_t, 864> w73; |
| 94 | alignas(16) static std::array<int32_t, 96> w74; |
| 95 | alignas(16) static std::array<uint8_t, 2304> w75; |
| 96 | alignas(16) static std::array<int32_t, 24> w76; |
| 97 | alignas(16) static std::array<uint8_t, 3456> w77; |
| 98 | alignas(16) static std::array<int32_t, 144> w78; |
| 99 | alignas(16) static std::array<uint8_t, 1296> w79; |
| 100 | alignas(16) static std::array<int32_t, 144> w80; |
| 101 | alignas(16) static std::array<uint8_t, 3456> w81; |
| 102 | alignas(16) static std::array<int32_t, 24> w82; |
| 103 | alignas(16) static std::array<uint8_t, 3456> w83; |
| 104 | alignas(16) static std::array<int32_t, 144> w84; |
| 105 | alignas(16) static std::array<uint8_t, 1296> w85; |
| 106 | alignas(16) static std::array<int32_t, 144> w86; |
| 107 | alignas(16) static std::array<uint8_t, 4608> w87; |
| 108 | alignas(16) static std::array<int32_t, 32> w88; |
| 109 | alignas(16) static std::array<uint8_t, 6144> w89; |
| 110 | alignas(16) static std::array<int32_t, 192> w90; |
| 111 | alignas(16) static std::array<uint8_t, 1728> w91; |
| 112 | alignas(16) static std::array<int32_t, 192> w92; |
| 113 | alignas(16) static std::array<uint8_t, 6144> w93; |
| 114 | alignas(16) static std::array<int32_t, 32> w94; |
| 115 | alignas(16) static std::array<uint8_t, 6144> w95; |
| 116 | alignas(16) static std::array<int32_t, 192> w96; |
| 117 | alignas(16) static std::array<uint8_t, 1728> w97; |
| 118 | alignas(16) static std::array<int32_t, 192> w98; |
| 119 | alignas(16) static std::array<uint8_t, 6144> w99; |
| 120 | alignas(16) static std::array<int32_t, 32> w100; |
| 121 | alignas(16) static std::array<uint8_t, 6144> w101; |
| 122 | alignas(16) static std::array<int32_t, 192> w102; |
| 123 | alignas(16) static std::array<uint8_t, 1728> w103; |
| 124 | alignas(16) static std::array<int32_t, 192> w104; |
| 125 | alignas(16) static std::array<uint8_t, 12288> w105; |
| 126 | alignas(16) static std::array<int32_t, 64> w106; |
| 127 | alignas(16) static std::array<uint8_t, 24576> w107; |
| 128 | alignas(16) static std::array<int32_t, 384> w108; |
| 129 | alignas(16) static std::array<uint8_t, 3456> w109; |
| 130 | alignas(16) static std::array<int32_t, 384> w110; |
| 131 | alignas(16) static std::array<uint8_t, 24576> w111; |
| 132 | alignas(16) static std::array<int32_t, 64> w112; |
| 133 | alignas(16) static std::array<uint8_t, 24576> w113; |
| 134 | alignas(16) static std::array<int32_t, 384> w114; |
| 135 | alignas(16) static std::array<uint8_t, 3456> w115; |
| 136 | alignas(16) static std::array<int32_t, 384> w116; |
| 137 | alignas(16) static std::array<uint8_t, 24576> w117; |
| 138 | alignas(16) static std::array<int32_t, 64> w118; |
| 139 | alignas(16) static std::array<uint8_t, 24576> w119; |
| 140 | alignas(16) static std::array<int32_t, 384> w120; |
| 141 | alignas(16) static std::array<uint8_t, 3456> w121; |
| 142 | alignas(16) static std::array<int32_t, 384> w122; |
| 143 | alignas(16) static std::array<uint8_t, 24576> w123; |
| 144 | alignas(16) static std::array<int32_t, 64> w124; |
| 145 | alignas(16) static std::array<uint8_t, 24576> w125; |
| 146 | alignas(16) static std::array<int32_t, 384> w126; |
| 147 | alignas(16) static std::array<uint8_t, 3456> w127; |
| 148 | alignas(16) static std::array<int32_t, 384> w128; |
| 149 | alignas(16) static std::array<uint8_t, 36864> w129; |
| 150 | alignas(16) static std::array<int32_t, 96> w130; |
| 151 | alignas(16) static std::array<uint8_t, 55296> w131; |
| 152 | alignas(16) static std::array<int32_t, 576> w132; |
| 153 | alignas(16) static std::array<uint8_t, 5184> w133; |
| 154 | alignas(16) static std::array<int32_t, 576> w134; |
| 155 | alignas(16) static std::array<uint8_t, 55296> w135; |
| 156 | alignas(16) static std::array<int32_t, 96> w136; |
| 157 | alignas(16) static std::array<uint8_t, 55296> w137; |
| 158 | alignas(16) static std::array<int32_t, 576> w138; |
| 159 | alignas(16) static std::array<uint8_t, 5184> w139; |
| 160 | alignas(16) static std::array<int32_t, 576> w140; |
| 161 | alignas(16) static std::array<uint8_t, 55296> w141; |
| 162 | alignas(16) static std::array<int32_t, 96> w142; |
| 163 | alignas(16) static std::array<uint8_t, 55296> w143; |
| 164 | alignas(16) static std::array<int32_t, 576> w144; |
| 165 | alignas(16) static std::array<uint8_t, 5184> w145; |
| 166 | alignas(16) static std::array<int32_t, 576> w146; |
| 167 | alignas(16) static std::array<uint8_t, 92160> w147; |
| 168 | alignas(16) static std::array<int32_t, 160> w148; |
| 169 | alignas(16) static std::array<uint8_t, 153600> w149; |
| 170 | alignas(16) static std::array<int32_t, 960> w150; |
| 171 | alignas(16) static std::array<uint8_t, 8640> w151; |
| 172 | alignas(16) static std::array<int32_t, 960> w152; |
| 173 | alignas(16) static std::array<uint8_t, 153600> w153; |
| 174 | alignas(16) static std::array<int32_t, 160> w154; |
| 175 | alignas(16) static std::array<uint8_t, 153600> w155; |
| 176 | alignas(16) static std::array<int32_t, 960> w156; |
| 177 | alignas(16) static std::array<uint8_t, 8640> w157; |
| 178 | alignas(16) static std::array<int32_t, 960> w158; |
| 179 | alignas(16) static std::array<uint8_t, 153600> w159; |
| 180 | alignas(16) static std::array<int32_t, 160> w160; |
| 181 | alignas(16) static std::array<uint8_t, 153600> w161; |
| 182 | alignas(16) static std::array<int32_t, 960> w162; |
| 183 | alignas(16) static std::array<uint8_t, 8640> w163; |
| 184 | alignas(16) static std::array<int32_t, 960> w164; |
| 185 | alignas(16) static std::array<uint8_t, 307200> w165; |
| 186 | alignas(16) static std::array<int32_t, 320> w166; |
| 187 | alignas(16) static std::array<uint8_t, 409600> w167; |
| 188 | alignas(16) static std::array<int32_t, 1280> w168; |
| 189 | alignas(16) static std::array<uint8_t, 1281280> w169; |
| 190 | alignas(16) static std::array<int32_t, 1001> w170; |
| 191 | |
| 192 | std::random_device random_device; |
| 193 | auto rng = std::mt19937(random_device()); |
| 194 | auto u8rng = std::bind(std::uniform_int_distribution<uint32_t>(0, 255), std::ref(rng)); |
| 195 | auto i32rng = std::bind(std::uniform_int_distribution<int32_t>(-10000, 10000), std::ref(rng)); |
| 196 | std::generate(v0.begin(), v0.end(), std::ref(u8rng)); |
| 197 | std::generate(v1.begin(), v1.end(), std::ref(u8rng)); |
| 198 | std::generate(v2.begin(), v2.end(), std::ref(u8rng)); |
| 199 | std::generate(v3.begin(), v3.end(), std::ref(u8rng)); |
| 200 | std::generate(v4.begin(), v4.end(), std::ref(u8rng)); |
| 201 | std::generate(v5.begin(), v5.end(), std::ref(u8rng)); |
| 202 | std::generate(v6.begin(), v6.end(), std::ref(u8rng)); |
| 203 | std::generate(v7.begin(), v7.end(), std::ref(u8rng)); |
| 204 | std::generate(v8.begin(), v8.end(), std::ref(u8rng)); |
| 205 | std::generate(v9.begin(), v9.end(), std::ref(u8rng)); |
| 206 | std::generate(v10.begin(), v10.end(), std::ref(u8rng)); |
| 207 | std::generate(v11.begin(), v11.end(), std::ref(u8rng)); |
| 208 | std::generate(v12.begin(), v12.end(), std::ref(u8rng)); |
| 209 | std::generate(v13.begin(), v13.end(), std::ref(u8rng)); |
| 210 | std::generate(v14.begin(), v14.end(), std::ref(u8rng)); |
| 211 | std::generate(v15.begin(), v15.end(), std::ref(u8rng)); |
| 212 | std::generate(v16.begin(), v16.end(), std::ref(u8rng)); |
| 213 | std::generate(v17.begin(), v17.end(), std::ref(u8rng)); |
| 214 | std::generate(v18.begin(), v18.end(), std::ref(u8rng)); |
| 215 | std::generate(v19.begin(), v19.end(), std::ref(u8rng)); |
| 216 | std::generate(v20.begin(), v20.end(), std::ref(u8rng)); |
| 217 | std::generate(v21.begin(), v21.end(), std::ref(u8rng)); |
| 218 | std::generate(v22.begin(), v22.end(), std::ref(u8rng)); |
| 219 | std::generate(v23.begin(), v23.end(), std::ref(u8rng)); |
| 220 | std::generate(v24.begin(), v24.end(), std::ref(u8rng)); |
| 221 | std::generate(v25.begin(), v25.end(), std::ref(u8rng)); |
| 222 | std::generate(v26.begin(), v26.end(), std::ref(u8rng)); |
| 223 | std::generate(v27.begin(), v27.end(), std::ref(u8rng)); |
| 224 | std::generate(v28.begin(), v28.end(), std::ref(u8rng)); |
| 225 | std::generate(v29.begin(), v29.end(), std::ref(u8rng)); |
| 226 | std::generate(v30.begin(), v30.end(), std::ref(u8rng)); |
| 227 | std::generate(v31.begin(), v31.end(), std::ref(u8rng)); |
| 228 | std::generate(v32.begin(), v32.end(), std::ref(u8rng)); |
| 229 | std::generate(v33.begin(), v33.end(), std::ref(u8rng)); |
| 230 | std::generate(v34.begin(), v34.end(), std::ref(u8rng)); |
| 231 | std::generate(v35.begin(), v35.end(), std::ref(u8rng)); |
| 232 | std::generate(v36.begin(), v36.end(), std::ref(u8rng)); |
| 233 | std::generate(v37.begin(), v37.end(), std::ref(u8rng)); |
| 234 | std::generate(v38.begin(), v38.end(), std::ref(u8rng)); |
| 235 | std::generate(v39.begin(), v39.end(), std::ref(u8rng)); |
| 236 | std::generate(v40.begin(), v40.end(), std::ref(u8rng)); |
| 237 | std::generate(v41.begin(), v41.end(), std::ref(u8rng)); |
| 238 | std::generate(v42.begin(), v42.end(), std::ref(u8rng)); |
| 239 | std::generate(v43.begin(), v43.end(), std::ref(u8rng)); |
| 240 | std::generate(v44.begin(), v44.end(), std::ref(u8rng)); |
| 241 | std::generate(v45.begin(), v45.end(), std::ref(u8rng)); |
| 242 | std::generate(v46.begin(), v46.end(), std::ref(u8rng)); |
| 243 | std::generate(v47.begin(), v47.end(), std::ref(u8rng)); |
| 244 | std::generate(v48.begin(), v48.end(), std::ref(u8rng)); |
| 245 | std::generate(v49.begin(), v49.end(), std::ref(u8rng)); |
| 246 | std::generate(v50.begin(), v50.end(), std::ref(u8rng)); |
| 247 | std::generate(v51.begin(), v51.end(), std::ref(u8rng)); |
| 248 | std::generate(v52.begin(), v52.end(), std::ref(u8rng)); |
| 249 | std::generate(v53.begin(), v53.end(), std::ref(u8rng)); |
| 250 | std::generate(v54.begin(), v54.end(), std::ref(u8rng)); |
| 251 | std::generate(v55.begin(), v55.end(), std::ref(u8rng)); |
| 252 | std::generate(v56.begin(), v56.end(), std::ref(u8rng)); |
| 253 | std::generate(v57.begin(), v57.end(), std::ref(u8rng)); |
| 254 | std::generate(v58.begin(), v58.end(), std::ref(u8rng)); |
| 255 | std::generate(v59.begin(), v59.end(), std::ref(u8rng)); |
| 256 | std::generate(v60.begin(), v60.end(), std::ref(u8rng)); |
| 257 | std::generate(v61.begin(), v61.end(), std::ref(u8rng)); |
| 258 | std::generate(v62.begin(), v62.end(), std::ref(u8rng)); |
| 259 | std::generate(v63.begin(), v63.end(), std::ref(u8rng)); |
| 260 | std::generate(v64.begin(), v64.end(), std::ref(u8rng)); |
| 261 | std::generate(w65.begin(), w65.end(), std::ref(u8rng)); |
| 262 | std::generate(w66.begin(), w66.end(), std::ref(i32rng)); |
| 263 | std::generate(w67.begin(), w67.end(), std::ref(u8rng)); |
| 264 | std::generate(w68.begin(), w68.end(), std::ref(i32rng)); |
| 265 | std::generate(w69.begin(), w69.end(), std::ref(u8rng)); |
| 266 | std::generate(w70.begin(), w70.end(), std::ref(i32rng)); |
| 267 | std::generate(w71.begin(), w71.end(), std::ref(u8rng)); |
| 268 | std::generate(w72.begin(), w72.end(), std::ref(i32rng)); |
| 269 | std::generate(w73.begin(), w73.end(), std::ref(u8rng)); |
| 270 | std::generate(w74.begin(), w74.end(), std::ref(i32rng)); |
| 271 | std::generate(w75.begin(), w75.end(), std::ref(u8rng)); |
| 272 | std::generate(w76.begin(), w76.end(), std::ref(i32rng)); |
| 273 | std::generate(w77.begin(), w77.end(), std::ref(u8rng)); |
| 274 | std::generate(w78.begin(), w78.end(), std::ref(i32rng)); |
| 275 | std::generate(w79.begin(), w79.end(), std::ref(u8rng)); |
| 276 | std::generate(w80.begin(), w80.end(), std::ref(i32rng)); |
| 277 | std::generate(w81.begin(), w81.end(), std::ref(u8rng)); |
| 278 | std::generate(w82.begin(), w82.end(), std::ref(i32rng)); |
| 279 | std::generate(w83.begin(), w83.end(), std::ref(u8rng)); |
| 280 | std::generate(w84.begin(), w84.end(), std::ref(i32rng)); |
| 281 | std::generate(w85.begin(), w85.end(), std::ref(u8rng)); |
| 282 | std::generate(w86.begin(), w86.end(), std::ref(i32rng)); |
| 283 | std::generate(w87.begin(), w87.end(), std::ref(u8rng)); |
| 284 | std::generate(w88.begin(), w88.end(), std::ref(i32rng)); |
| 285 | std::generate(w89.begin(), w89.end(), std::ref(u8rng)); |
| 286 | std::generate(w90.begin(), w90.end(), std::ref(i32rng)); |
| 287 | std::generate(w91.begin(), w91.end(), std::ref(u8rng)); |
| 288 | std::generate(w92.begin(), w92.end(), std::ref(i32rng)); |
| 289 | std::generate(w93.begin(), w93.end(), std::ref(u8rng)); |
| 290 | std::generate(w94.begin(), w94.end(), std::ref(i32rng)); |
| 291 | std::generate(w95.begin(), w95.end(), std::ref(u8rng)); |
| 292 | std::generate(w96.begin(), w96.end(), std::ref(i32rng)); |
| 293 | std::generate(w97.begin(), w97.end(), std::ref(u8rng)); |
| 294 | std::generate(w98.begin(), w98.end(), std::ref(i32rng)); |
| 295 | std::generate(w99.begin(), w99.end(), std::ref(u8rng)); |
| 296 | std::generate(w100.begin(), w100.end(), std::ref(i32rng)); |
| 297 | std::generate(w101.begin(), w101.end(), std::ref(u8rng)); |
| 298 | std::generate(w102.begin(), w102.end(), std::ref(i32rng)); |
| 299 | std::generate(w103.begin(), w103.end(), std::ref(u8rng)); |
| 300 | std::generate(w104.begin(), w104.end(), std::ref(i32rng)); |
| 301 | std::generate(w105.begin(), w105.end(), std::ref(u8rng)); |
| 302 | std::generate(w106.begin(), w106.end(), std::ref(i32rng)); |
| 303 | std::generate(w107.begin(), w107.end(), std::ref(u8rng)); |
| 304 | std::generate(w108.begin(), w108.end(), std::ref(i32rng)); |
| 305 | std::generate(w109.begin(), w109.end(), std::ref(u8rng)); |
| 306 | std::generate(w110.begin(), w110.end(), std::ref(i32rng)); |
| 307 | std::generate(w111.begin(), w111.end(), std::ref(u8rng)); |
| 308 | std::generate(w112.begin(), w112.end(), std::ref(i32rng)); |
| 309 | std::generate(w113.begin(), w113.end(), std::ref(u8rng)); |
| 310 | std::generate(w114.begin(), w114.end(), std::ref(i32rng)); |
| 311 | std::generate(w115.begin(), w115.end(), std::ref(u8rng)); |
| 312 | std::generate(w116.begin(), w116.end(), std::ref(i32rng)); |
| 313 | std::generate(w117.begin(), w117.end(), std::ref(u8rng)); |
| 314 | std::generate(w118.begin(), w118.end(), std::ref(i32rng)); |
| 315 | std::generate(w119.begin(), w119.end(), std::ref(u8rng)); |
| 316 | std::generate(w120.begin(), w120.end(), std::ref(i32rng)); |
| 317 | std::generate(w121.begin(), w121.end(), std::ref(u8rng)); |
| 318 | std::generate(w122.begin(), w122.end(), std::ref(i32rng)); |
| 319 | std::generate(w123.begin(), w123.end(), std::ref(u8rng)); |
| 320 | std::generate(w124.begin(), w124.end(), std::ref(i32rng)); |
| 321 | std::generate(w125.begin(), w125.end(), std::ref(u8rng)); |
| 322 | std::generate(w126.begin(), w126.end(), std::ref(i32rng)); |
| 323 | std::generate(w127.begin(), w127.end(), std::ref(u8rng)); |
| 324 | std::generate(w128.begin(), w128.end(), std::ref(i32rng)); |
| 325 | std::generate(w129.begin(), w129.end(), std::ref(u8rng)); |
| 326 | std::generate(w130.begin(), w130.end(), std::ref(i32rng)); |
| 327 | std::generate(w131.begin(), w131.end(), std::ref(u8rng)); |
| 328 | std::generate(w132.begin(), w132.end(), std::ref(i32rng)); |
| 329 | std::generate(w133.begin(), w133.end(), std::ref(u8rng)); |
| 330 | std::generate(w134.begin(), w134.end(), std::ref(i32rng)); |
| 331 | std::generate(w135.begin(), w135.end(), std::ref(u8rng)); |
| 332 | std::generate(w136.begin(), w136.end(), std::ref(i32rng)); |
| 333 | std::generate(w137.begin(), w137.end(), std::ref(u8rng)); |
| 334 | std::generate(w138.begin(), w138.end(), std::ref(i32rng)); |
| 335 | std::generate(w139.begin(), w139.end(), std::ref(u8rng)); |
| 336 | std::generate(w140.begin(), w140.end(), std::ref(i32rng)); |
| 337 | std::generate(w141.begin(), w141.end(), std::ref(u8rng)); |
| 338 | std::generate(w142.begin(), w142.end(), std::ref(i32rng)); |
| 339 | std::generate(w143.begin(), w143.end(), std::ref(u8rng)); |
| 340 | std::generate(w144.begin(), w144.end(), std::ref(i32rng)); |
| 341 | std::generate(w145.begin(), w145.end(), std::ref(u8rng)); |
| 342 | std::generate(w146.begin(), w146.end(), std::ref(i32rng)); |
| 343 | std::generate(w147.begin(), w147.end(), std::ref(u8rng)); |
| 344 | std::generate(w148.begin(), w148.end(), std::ref(i32rng)); |
| 345 | std::generate(w149.begin(), w149.end(), std::ref(u8rng)); |
| 346 | std::generate(w150.begin(), w150.end(), std::ref(i32rng)); |
| 347 | std::generate(w151.begin(), w151.end(), std::ref(u8rng)); |
| 348 | std::generate(w152.begin(), w152.end(), std::ref(i32rng)); |
| 349 | std::generate(w153.begin(), w153.end(), std::ref(u8rng)); |
| 350 | std::generate(w154.begin(), w154.end(), std::ref(i32rng)); |
| 351 | std::generate(w155.begin(), w155.end(), std::ref(u8rng)); |
| 352 | std::generate(w156.begin(), w156.end(), std::ref(i32rng)); |
| 353 | std::generate(w157.begin(), w157.end(), std::ref(u8rng)); |
| 354 | std::generate(w158.begin(), w158.end(), std::ref(i32rng)); |
| 355 | std::generate(w159.begin(), w159.end(), std::ref(u8rng)); |
| 356 | std::generate(w160.begin(), w160.end(), std::ref(i32rng)); |
| 357 | std::generate(w161.begin(), w161.end(), std::ref(u8rng)); |
| 358 | std::generate(w162.begin(), w162.end(), std::ref(i32rng)); |
| 359 | std::generate(w163.begin(), w163.end(), std::ref(u8rng)); |
| 360 | std::generate(w164.begin(), w164.end(), std::ref(i32rng)); |
| 361 | std::generate(w165.begin(), w165.end(), std::ref(u8rng)); |
| 362 | std::generate(w166.begin(), w166.end(), std::ref(i32rng)); |
| 363 | std::generate(w167.begin(), w167.end(), std::ref(u8rng)); |
| 364 | std::generate(w168.begin(), w168.end(), std::ref(i32rng)); |
| 365 | std::generate(w169.begin(), w169.end(), std::ref(u8rng)); |
| 366 | std::generate(w170.begin(), w170.end(), std::ref(i32rng)); |
| 367 | |
| 368 | ExecutionPlan operators; |
| 369 | xnn_status status; |
| 370 | |
| 371 | xnn_operator_t op0 = nullptr; |
| 372 | status = xnn_create_convolution2d_nhwc_qu8( |
| 373 | 0 /* top padding */, 1 /* right padding */, |
| 374 | 1 /* bottom padding */, 0 /* left padding */, |
| 375 | 3 /* kernel height */, 3 /* kernel width */, |
| 376 | 2 /* subsampling height */, 2 /* subsampling width */, |
| 377 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 378 | 1 /* groups */, |
| 379 | 3 /* input channels per group */, |
| 380 | 32 /* output_channels_per_group */, |
| 381 | 3 /* input pixel stride */, |
| 382 | 32 /* output pixel stride */, |
| 383 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 384 | w65.data(), w66.data(), |
| 385 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 386 | 0 /* flags */, |
| 387 | &op0); |
| 388 | if (status != xnn_status_success) { |
| 389 | std::cerr << "failed to create operation #0" << std::endl; |
| 390 | return ExecutionPlan(); |
| 391 | } |
| 392 | operators.emplace_back(op0, xnn_delete_operator); |
| 393 | |
| 394 | xnn_operator_t op1 = nullptr; |
| 395 | status = xnn_create_convolution2d_nhwc_qu8( |
| 396 | 1 /* top padding */, 1 /* right padding */, |
| 397 | 1 /* bottom padding */, 1 /* left padding */, |
| 398 | 3 /* kernel height */, 3 /* kernel width */, |
| 399 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 400 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 401 | 32 /* groups */, |
| 402 | 1 /* input channels per group */, |
| 403 | 1 /* output_channels_per_group */, |
| 404 | 32 /* input pixel stride */, |
| 405 | 32 /* output pixel stride */, |
| 406 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 407 | w67.data(), w68.data(), |
| 408 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 409 | 0 /* flags */, |
| 410 | &op1); |
| 411 | if (status != xnn_status_success) { |
| 412 | std::cerr << "failed to create operation #1" << std::endl; |
| 413 | return ExecutionPlan(); |
| 414 | } |
| 415 | operators.emplace_back(op1, xnn_delete_operator); |
| 416 | |
| 417 | xnn_operator_t op2 = nullptr; |
| 418 | status = xnn_create_convolution2d_nhwc_qu8( |
| 419 | 0 /* top padding */, 0 /* right padding */, |
| 420 | 0 /* bottom padding */, 0 /* left padding */, |
| 421 | 1 /* kernel height */, 1 /* kernel width */, |
| 422 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 423 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 424 | 1 /* groups */, |
| 425 | 32 /* input channels per group */, |
| 426 | 16 /* output_channels_per_group */, |
| 427 | 32 /* input pixel stride */, |
| 428 | 16 /* output pixel stride */, |
| 429 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 430 | w69.data(), w70.data(), |
| 431 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 432 | 0 /* flags */, |
| 433 | &op2); |
| 434 | if (status != xnn_status_success) { |
| 435 | std::cerr << "failed to create operation #2" << std::endl; |
| 436 | return ExecutionPlan(); |
| 437 | } |
| 438 | operators.emplace_back(op2, xnn_delete_operator); |
| 439 | |
| 440 | xnn_operator_t op3 = nullptr; |
| 441 | status = xnn_create_convolution2d_nhwc_qu8( |
| 442 | 0 /* top padding */, 0 /* right padding */, |
| 443 | 0 /* bottom padding */, 0 /* left padding */, |
| 444 | 1 /* kernel height */, 1 /* kernel width */, |
| 445 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 446 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 447 | 1 /* groups */, |
| 448 | 16 /* input channels per group */, |
| 449 | 96 /* output_channels_per_group */, |
| 450 | 16 /* input pixel stride */, |
| 451 | 96 /* output pixel stride */, |
| 452 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 453 | w71.data(), w72.data(), |
| 454 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 455 | 0 /* flags */, |
| 456 | &op3); |
| 457 | if (status != xnn_status_success) { |
| 458 | std::cerr << "failed to create operation #3" << std::endl; |
| 459 | return ExecutionPlan(); |
| 460 | } |
| 461 | operators.emplace_back(op3, xnn_delete_operator); |
| 462 | |
| 463 | xnn_operator_t op4 = nullptr; |
| 464 | status = xnn_create_convolution2d_nhwc_qu8( |
| 465 | 0 /* top padding */, 1 /* right padding */, |
| 466 | 1 /* bottom padding */, 0 /* left padding */, |
| 467 | 3 /* kernel height */, 3 /* kernel width */, |
| 468 | 2 /* subsampling height */, 2 /* subsampling width */, |
| 469 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 470 | 96 /* groups */, |
| 471 | 1 /* input channels per group */, |
| 472 | 1 /* output_channels_per_group */, |
| 473 | 96 /* input pixel stride */, |
| 474 | 96 /* output pixel stride */, |
| 475 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 476 | w73.data(), w74.data(), |
| 477 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 478 | 0 /* flags */, |
| 479 | &op4); |
| 480 | if (status != xnn_status_success) { |
| 481 | std::cerr << "failed to create operation #4" << std::endl; |
| 482 | return ExecutionPlan(); |
| 483 | } |
| 484 | operators.emplace_back(op4, xnn_delete_operator); |
| 485 | |
| 486 | xnn_operator_t op5 = nullptr; |
| 487 | status = xnn_create_convolution2d_nhwc_qu8( |
| 488 | 0 /* top padding */, 0 /* right padding */, |
| 489 | 0 /* bottom padding */, 0 /* left padding */, |
| 490 | 1 /* kernel height */, 1 /* kernel width */, |
| 491 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 492 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 493 | 1 /* groups */, |
| 494 | 96 /* input channels per group */, |
| 495 | 24 /* output_channels_per_group */, |
| 496 | 96 /* input pixel stride */, |
| 497 | 24 /* output pixel stride */, |
| 498 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 499 | w75.data(), w76.data(), |
| 500 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 501 | 0 /* flags */, |
| 502 | &op5); |
| 503 | if (status != xnn_status_success) { |
| 504 | std::cerr << "failed to create operation #5" << std::endl; |
| 505 | return ExecutionPlan(); |
| 506 | } |
| 507 | operators.emplace_back(op5, xnn_delete_operator); |
| 508 | |
| 509 | xnn_operator_t op6 = nullptr; |
| 510 | status = xnn_create_convolution2d_nhwc_qu8( |
| 511 | 0 /* top padding */, 0 /* right padding */, |
| 512 | 0 /* bottom padding */, 0 /* left padding */, |
| 513 | 1 /* kernel height */, 1 /* kernel width */, |
| 514 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 515 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 516 | 1 /* groups */, |
| 517 | 24 /* input channels per group */, |
| 518 | 144 /* output_channels_per_group */, |
| 519 | 24 /* input pixel stride */, |
| 520 | 144 /* output pixel stride */, |
| 521 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 522 | w77.data(), w78.data(), |
| 523 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 524 | 0 /* flags */, |
| 525 | &op6); |
| 526 | if (status != xnn_status_success) { |
| 527 | std::cerr << "failed to create operation #6" << std::endl; |
| 528 | return ExecutionPlan(); |
| 529 | } |
| 530 | operators.emplace_back(op6, xnn_delete_operator); |
| 531 | |
| 532 | xnn_operator_t op7 = nullptr; |
| 533 | status = xnn_create_convolution2d_nhwc_qu8( |
| 534 | 1 /* top padding */, 1 /* right padding */, |
| 535 | 1 /* bottom padding */, 1 /* left padding */, |
| 536 | 3 /* kernel height */, 3 /* kernel width */, |
| 537 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 538 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 539 | 144 /* groups */, |
| 540 | 1 /* input channels per group */, |
| 541 | 1 /* output_channels_per_group */, |
| 542 | 144 /* input pixel stride */, |
| 543 | 144 /* output pixel stride */, |
| 544 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 545 | w79.data(), w80.data(), |
| 546 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 547 | 0 /* flags */, |
| 548 | &op7); |
| 549 | if (status != xnn_status_success) { |
| 550 | std::cerr << "failed to create operation #7" << std::endl; |
| 551 | return ExecutionPlan(); |
| 552 | } |
| 553 | operators.emplace_back(op7, xnn_delete_operator); |
| 554 | |
| 555 | xnn_operator_t op8 = nullptr; |
| 556 | status = xnn_create_convolution2d_nhwc_qu8( |
| 557 | 0 /* top padding */, 0 /* right padding */, |
| 558 | 0 /* bottom padding */, 0 /* left padding */, |
| 559 | 1 /* kernel height */, 1 /* kernel width */, |
| 560 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 561 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 562 | 1 /* groups */, |
| 563 | 144 /* input channels per group */, |
| 564 | 24 /* output_channels_per_group */, |
| 565 | 144 /* input pixel stride */, |
| 566 | 24 /* output pixel stride */, |
| 567 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 568 | w81.data(), w82.data(), |
| 569 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 570 | 0 /* flags */, |
| 571 | &op8); |
| 572 | if (status != xnn_status_success) { |
| 573 | std::cerr << "failed to create operation #8" << std::endl; |
| 574 | return ExecutionPlan(); |
| 575 | } |
| 576 | operators.emplace_back(op8, xnn_delete_operator); |
| 577 | |
| 578 | xnn_operator_t op9 = nullptr; |
| 579 | status = xnn_create_add_nd_qu8( |
| 580 | 127 /* input1 zero point */, 0.5f /* input1 scale */, |
| 581 | 127 /* input2 zero point */, 0.5f /* input2 scale */, |
| 582 | 127 /* output zero point */, 1.0f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 583 | 0 /* flags */, |
| 584 | &op9); |
| 585 | if (status != xnn_status_success) { |
| 586 | std::cerr << "failed to create operation #9" << std::endl; |
| 587 | return ExecutionPlan(); |
| 588 | } |
| 589 | operators.emplace_back(op9, xnn_delete_operator); |
| 590 | |
| 591 | xnn_operator_t op10 = nullptr; |
| 592 | status = xnn_create_convolution2d_nhwc_qu8( |
| 593 | 0 /* top padding */, 0 /* right padding */, |
| 594 | 0 /* bottom padding */, 0 /* left padding */, |
| 595 | 1 /* kernel height */, 1 /* kernel width */, |
| 596 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 597 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 598 | 1 /* groups */, |
| 599 | 24 /* input channels per group */, |
| 600 | 144 /* output_channels_per_group */, |
| 601 | 24 /* input pixel stride */, |
| 602 | 144 /* output pixel stride */, |
| 603 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 604 | w83.data(), w84.data(), |
| 605 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 606 | 0 /* flags */, |
| 607 | &op10); |
| 608 | if (status != xnn_status_success) { |
| 609 | std::cerr << "failed to create operation #10" << std::endl; |
| 610 | return ExecutionPlan(); |
| 611 | } |
| 612 | operators.emplace_back(op10, xnn_delete_operator); |
| 613 | |
| 614 | xnn_operator_t op11 = nullptr; |
| 615 | status = xnn_create_convolution2d_nhwc_qu8( |
| 616 | 0 /* top padding */, 1 /* right padding */, |
| 617 | 1 /* bottom padding */, 0 /* left padding */, |
| 618 | 3 /* kernel height */, 3 /* kernel width */, |
| 619 | 2 /* subsampling height */, 2 /* subsampling width */, |
| 620 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 621 | 144 /* groups */, |
| 622 | 1 /* input channels per group */, |
| 623 | 1 /* output_channels_per_group */, |
| 624 | 144 /* input pixel stride */, |
| 625 | 144 /* output pixel stride */, |
| 626 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 627 | w85.data(), w86.data(), |
| 628 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 629 | 0 /* flags */, |
| 630 | &op11); |
| 631 | if (status != xnn_status_success) { |
| 632 | std::cerr << "failed to create operation #11" << std::endl; |
| 633 | return ExecutionPlan(); |
| 634 | } |
| 635 | operators.emplace_back(op11, xnn_delete_operator); |
| 636 | |
| 637 | xnn_operator_t op12 = nullptr; |
| 638 | status = xnn_create_convolution2d_nhwc_qu8( |
| 639 | 0 /* top padding */, 0 /* right padding */, |
| 640 | 0 /* bottom padding */, 0 /* left padding */, |
| 641 | 1 /* kernel height */, 1 /* kernel width */, |
| 642 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 643 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 644 | 1 /* groups */, |
| 645 | 144 /* input channels per group */, |
| 646 | 32 /* output_channels_per_group */, |
| 647 | 144 /* input pixel stride */, |
| 648 | 32 /* output pixel stride */, |
| 649 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 650 | w87.data(), w88.data(), |
| 651 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 652 | 0 /* flags */, |
| 653 | &op12); |
| 654 | if (status != xnn_status_success) { |
| 655 | std::cerr << "failed to create operation #12" << std::endl; |
| 656 | return ExecutionPlan(); |
| 657 | } |
| 658 | operators.emplace_back(op12, xnn_delete_operator); |
| 659 | |
| 660 | xnn_operator_t op13 = nullptr; |
| 661 | status = xnn_create_convolution2d_nhwc_qu8( |
| 662 | 0 /* top padding */, 0 /* right padding */, |
| 663 | 0 /* bottom padding */, 0 /* left padding */, |
| 664 | 1 /* kernel height */, 1 /* kernel width */, |
| 665 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 666 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 667 | 1 /* groups */, |
| 668 | 32 /* input channels per group */, |
| 669 | 192 /* output_channels_per_group */, |
| 670 | 32 /* input pixel stride */, |
| 671 | 192 /* output pixel stride */, |
| 672 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 673 | w89.data(), w90.data(), |
| 674 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 675 | 0 /* flags */, |
| 676 | &op13); |
| 677 | if (status != xnn_status_success) { |
| 678 | std::cerr << "failed to create operation #13" << std::endl; |
| 679 | return ExecutionPlan(); |
| 680 | } |
| 681 | operators.emplace_back(op13, xnn_delete_operator); |
| 682 | |
| 683 | xnn_operator_t op14 = nullptr; |
| 684 | status = xnn_create_convolution2d_nhwc_qu8( |
| 685 | 1 /* top padding */, 1 /* right padding */, |
| 686 | 1 /* bottom padding */, 1 /* left padding */, |
| 687 | 3 /* kernel height */, 3 /* kernel width */, |
| 688 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 689 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 690 | 192 /* groups */, |
| 691 | 1 /* input channels per group */, |
| 692 | 1 /* output_channels_per_group */, |
| 693 | 192 /* input pixel stride */, |
| 694 | 192 /* output pixel stride */, |
| 695 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 696 | w91.data(), w92.data(), |
| 697 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 698 | 0 /* flags */, |
| 699 | &op14); |
| 700 | if (status != xnn_status_success) { |
| 701 | std::cerr << "failed to create operation #14" << std::endl; |
| 702 | return ExecutionPlan(); |
| 703 | } |
| 704 | operators.emplace_back(op14, xnn_delete_operator); |
| 705 | |
| 706 | xnn_operator_t op15 = nullptr; |
| 707 | status = xnn_create_convolution2d_nhwc_qu8( |
| 708 | 0 /* top padding */, 0 /* right padding */, |
| 709 | 0 /* bottom padding */, 0 /* left padding */, |
| 710 | 1 /* kernel height */, 1 /* kernel width */, |
| 711 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 712 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 713 | 1 /* groups */, |
| 714 | 192 /* input channels per group */, |
| 715 | 32 /* output_channels_per_group */, |
| 716 | 192 /* input pixel stride */, |
| 717 | 32 /* output pixel stride */, |
| 718 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 719 | w93.data(), w94.data(), |
| 720 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 721 | 0 /* flags */, |
| 722 | &op15); |
| 723 | if (status != xnn_status_success) { |
| 724 | std::cerr << "failed to create operation #15" << std::endl; |
| 725 | return ExecutionPlan(); |
| 726 | } |
| 727 | operators.emplace_back(op15, xnn_delete_operator); |
| 728 | |
| 729 | xnn_operator_t op16 = nullptr; |
| 730 | status = xnn_create_add_nd_qu8( |
| 731 | 127 /* input1 zero point */, 0.5f /* input1 scale */, |
| 732 | 127 /* input2 zero point */, 0.5f /* input2 scale */, |
| 733 | 127 /* output zero point */, 1.0f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 734 | 0 /* flags */, |
| 735 | &op16); |
| 736 | if (status != xnn_status_success) { |
| 737 | std::cerr << "failed to create operation #16" << std::endl; |
| 738 | return ExecutionPlan(); |
| 739 | } |
| 740 | operators.emplace_back(op16, xnn_delete_operator); |
| 741 | |
| 742 | xnn_operator_t op17 = nullptr; |
| 743 | status = xnn_create_convolution2d_nhwc_qu8( |
| 744 | 0 /* top padding */, 0 /* right padding */, |
| 745 | 0 /* bottom padding */, 0 /* left padding */, |
| 746 | 1 /* kernel height */, 1 /* kernel width */, |
| 747 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 748 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 749 | 1 /* groups */, |
| 750 | 32 /* input channels per group */, |
| 751 | 192 /* output_channels_per_group */, |
| 752 | 32 /* input pixel stride */, |
| 753 | 192 /* output pixel stride */, |
| 754 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 755 | w95.data(), w96.data(), |
| 756 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 757 | 0 /* flags */, |
| 758 | &op17); |
| 759 | if (status != xnn_status_success) { |
| 760 | std::cerr << "failed to create operation #17" << std::endl; |
| 761 | return ExecutionPlan(); |
| 762 | } |
| 763 | operators.emplace_back(op17, xnn_delete_operator); |
| 764 | |
| 765 | xnn_operator_t op18 = nullptr; |
| 766 | status = xnn_create_convolution2d_nhwc_qu8( |
| 767 | 1 /* top padding */, 1 /* right padding */, |
| 768 | 1 /* bottom padding */, 1 /* left padding */, |
| 769 | 3 /* kernel height */, 3 /* kernel width */, |
| 770 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 771 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 772 | 192 /* groups */, |
| 773 | 1 /* input channels per group */, |
| 774 | 1 /* output_channels_per_group */, |
| 775 | 192 /* input pixel stride */, |
| 776 | 192 /* output pixel stride */, |
| 777 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 778 | w97.data(), w98.data(), |
| 779 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 780 | 0 /* flags */, |
| 781 | &op18); |
| 782 | if (status != xnn_status_success) { |
| 783 | std::cerr << "failed to create operation #18" << std::endl; |
| 784 | return ExecutionPlan(); |
| 785 | } |
| 786 | operators.emplace_back(op18, xnn_delete_operator); |
| 787 | |
| 788 | xnn_operator_t op19 = nullptr; |
| 789 | status = xnn_create_convolution2d_nhwc_qu8( |
| 790 | 0 /* top padding */, 0 /* right padding */, |
| 791 | 0 /* bottom padding */, 0 /* left padding */, |
| 792 | 1 /* kernel height */, 1 /* kernel width */, |
| 793 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 794 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 795 | 1 /* groups */, |
| 796 | 192 /* input channels per group */, |
| 797 | 32 /* output_channels_per_group */, |
| 798 | 192 /* input pixel stride */, |
| 799 | 32 /* output pixel stride */, |
| 800 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 801 | w99.data(), w100.data(), |
| 802 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 803 | 0 /* flags */, |
| 804 | &op19); |
| 805 | if (status != xnn_status_success) { |
| 806 | std::cerr << "failed to create operation #19" << std::endl; |
| 807 | return ExecutionPlan(); |
| 808 | } |
| 809 | operators.emplace_back(op19, xnn_delete_operator); |
| 810 | |
| 811 | xnn_operator_t op20 = nullptr; |
| 812 | status = xnn_create_add_nd_qu8( |
| 813 | 127 /* input1 zero point */, 0.5f /* input1 scale */, |
| 814 | 127 /* input2 zero point */, 0.5f /* input2 scale */, |
| 815 | 127 /* output zero point */, 1.0f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 816 | 0 /* flags */, |
| 817 | &op20); |
| 818 | if (status != xnn_status_success) { |
| 819 | std::cerr << "failed to create operation #20" << std::endl; |
| 820 | return ExecutionPlan(); |
| 821 | } |
| 822 | operators.emplace_back(op20, xnn_delete_operator); |
| 823 | |
| 824 | xnn_operator_t op21 = nullptr; |
| 825 | status = xnn_create_convolution2d_nhwc_qu8( |
| 826 | 0 /* top padding */, 0 /* right padding */, |
| 827 | 0 /* bottom padding */, 0 /* left padding */, |
| 828 | 1 /* kernel height */, 1 /* kernel width */, |
| 829 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 830 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 831 | 1 /* groups */, |
| 832 | 32 /* input channels per group */, |
| 833 | 192 /* output_channels_per_group */, |
| 834 | 32 /* input pixel stride */, |
| 835 | 192 /* output pixel stride */, |
| 836 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 837 | w101.data(), w102.data(), |
| 838 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 839 | 0 /* flags */, |
| 840 | &op21); |
| 841 | if (status != xnn_status_success) { |
| 842 | std::cerr << "failed to create operation #21" << std::endl; |
| 843 | return ExecutionPlan(); |
| 844 | } |
| 845 | operators.emplace_back(op21, xnn_delete_operator); |
| 846 | |
| 847 | xnn_operator_t op22 = nullptr; |
| 848 | status = xnn_create_convolution2d_nhwc_qu8( |
| 849 | 0 /* top padding */, 1 /* right padding */, |
| 850 | 1 /* bottom padding */, 0 /* left padding */, |
| 851 | 3 /* kernel height */, 3 /* kernel width */, |
| 852 | 2 /* subsampling height */, 2 /* subsampling width */, |
| 853 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 854 | 192 /* groups */, |
| 855 | 1 /* input channels per group */, |
| 856 | 1 /* output_channels_per_group */, |
| 857 | 192 /* input pixel stride */, |
| 858 | 192 /* output pixel stride */, |
| 859 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 860 | w103.data(), w104.data(), |
| 861 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 862 | 0 /* flags */, |
| 863 | &op22); |
| 864 | if (status != xnn_status_success) { |
| 865 | std::cerr << "failed to create operation #22" << std::endl; |
| 866 | return ExecutionPlan(); |
| 867 | } |
| 868 | operators.emplace_back(op22, xnn_delete_operator); |
| 869 | |
| 870 | xnn_operator_t op23 = nullptr; |
| 871 | status = xnn_create_convolution2d_nhwc_qu8( |
| 872 | 0 /* top padding */, 0 /* right padding */, |
| 873 | 0 /* bottom padding */, 0 /* left padding */, |
| 874 | 1 /* kernel height */, 1 /* kernel width */, |
| 875 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 876 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 877 | 1 /* groups */, |
| 878 | 192 /* input channels per group */, |
| 879 | 64 /* output_channels_per_group */, |
| 880 | 192 /* input pixel stride */, |
| 881 | 64 /* output pixel stride */, |
| 882 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 883 | w105.data(), w106.data(), |
| 884 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 885 | 0 /* flags */, |
| 886 | &op23); |
| 887 | if (status != xnn_status_success) { |
| 888 | std::cerr << "failed to create operation #23" << std::endl; |
| 889 | return ExecutionPlan(); |
| 890 | } |
| 891 | operators.emplace_back(op23, xnn_delete_operator); |
| 892 | |
| 893 | xnn_operator_t op24 = nullptr; |
| 894 | status = xnn_create_convolution2d_nhwc_qu8( |
| 895 | 0 /* top padding */, 0 /* right padding */, |
| 896 | 0 /* bottom padding */, 0 /* left padding */, |
| 897 | 1 /* kernel height */, 1 /* kernel width */, |
| 898 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 899 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 900 | 1 /* groups */, |
| 901 | 64 /* input channels per group */, |
| 902 | 384 /* output_channels_per_group */, |
| 903 | 64 /* input pixel stride */, |
| 904 | 384 /* output pixel stride */, |
| 905 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 906 | w107.data(), w108.data(), |
| 907 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 908 | 0 /* flags */, |
| 909 | &op24); |
| 910 | if (status != xnn_status_success) { |
| 911 | std::cerr << "failed to create operation #24" << std::endl; |
| 912 | return ExecutionPlan(); |
| 913 | } |
| 914 | operators.emplace_back(op24, xnn_delete_operator); |
| 915 | |
| 916 | xnn_operator_t op25 = nullptr; |
| 917 | status = xnn_create_convolution2d_nhwc_qu8( |
| 918 | 1 /* top padding */, 1 /* right padding */, |
| 919 | 1 /* bottom padding */, 1 /* left padding */, |
| 920 | 3 /* kernel height */, 3 /* kernel width */, |
| 921 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 922 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 923 | 384 /* groups */, |
| 924 | 1 /* input channels per group */, |
| 925 | 1 /* output_channels_per_group */, |
| 926 | 384 /* input pixel stride */, |
| 927 | 384 /* output pixel stride */, |
| 928 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 929 | w109.data(), w110.data(), |
| 930 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 931 | 0 /* flags */, |
| 932 | &op25); |
| 933 | if (status != xnn_status_success) { |
| 934 | std::cerr << "failed to create operation #25" << std::endl; |
| 935 | return ExecutionPlan(); |
| 936 | } |
| 937 | operators.emplace_back(op25, xnn_delete_operator); |
| 938 | |
| 939 | xnn_operator_t op26 = nullptr; |
| 940 | status = xnn_create_convolution2d_nhwc_qu8( |
| 941 | 0 /* top padding */, 0 /* right padding */, |
| 942 | 0 /* bottom padding */, 0 /* left padding */, |
| 943 | 1 /* kernel height */, 1 /* kernel width */, |
| 944 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 945 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 946 | 1 /* groups */, |
| 947 | 384 /* input channels per group */, |
| 948 | 64 /* output_channels_per_group */, |
| 949 | 384 /* input pixel stride */, |
| 950 | 64 /* output pixel stride */, |
| 951 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 952 | w111.data(), w112.data(), |
| 953 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 954 | 0 /* flags */, |
| 955 | &op26); |
| 956 | if (status != xnn_status_success) { |
| 957 | std::cerr << "failed to create operation #26" << std::endl; |
| 958 | return ExecutionPlan(); |
| 959 | } |
| 960 | operators.emplace_back(op26, xnn_delete_operator); |
| 961 | |
| 962 | xnn_operator_t op27 = nullptr; |
| 963 | status = xnn_create_add_nd_qu8( |
| 964 | 127 /* input1 zero point */, 0.5f /* input1 scale */, |
| 965 | 127 /* input2 zero point */, 0.5f /* input2 scale */, |
| 966 | 127 /* output zero point */, 1.0f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 967 | 0 /* flags */, |
| 968 | &op27); |
| 969 | if (status != xnn_status_success) { |
| 970 | std::cerr << "failed to create operation #27" << std::endl; |
| 971 | return ExecutionPlan(); |
| 972 | } |
| 973 | operators.emplace_back(op27, xnn_delete_operator); |
| 974 | |
| 975 | xnn_operator_t op28 = nullptr; |
| 976 | status = xnn_create_convolution2d_nhwc_qu8( |
| 977 | 0 /* top padding */, 0 /* right padding */, |
| 978 | 0 /* bottom padding */, 0 /* left padding */, |
| 979 | 1 /* kernel height */, 1 /* kernel width */, |
| 980 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 981 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 982 | 1 /* groups */, |
| 983 | 64 /* input channels per group */, |
| 984 | 384 /* output_channels_per_group */, |
| 985 | 64 /* input pixel stride */, |
| 986 | 384 /* output pixel stride */, |
| 987 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 988 | w113.data(), w114.data(), |
| 989 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 990 | 0 /* flags */, |
| 991 | &op28); |
| 992 | if (status != xnn_status_success) { |
| 993 | std::cerr << "failed to create operation #28" << std::endl; |
| 994 | return ExecutionPlan(); |
| 995 | } |
| 996 | operators.emplace_back(op28, xnn_delete_operator); |
| 997 | |
| 998 | xnn_operator_t op29 = nullptr; |
| 999 | status = xnn_create_convolution2d_nhwc_qu8( |
| 1000 | 1 /* top padding */, 1 /* right padding */, |
| 1001 | 1 /* bottom padding */, 1 /* left padding */, |
| 1002 | 3 /* kernel height */, 3 /* kernel width */, |
| 1003 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1004 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1005 | 384 /* groups */, |
| 1006 | 1 /* input channels per group */, |
| 1007 | 1 /* output_channels_per_group */, |
| 1008 | 384 /* input pixel stride */, |
| 1009 | 384 /* output pixel stride */, |
| 1010 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 1011 | w115.data(), w116.data(), |
| 1012 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 1013 | 0 /* flags */, |
| 1014 | &op29); |
| 1015 | if (status != xnn_status_success) { |
| 1016 | std::cerr << "failed to create operation #29" << std::endl; |
| 1017 | return ExecutionPlan(); |
| 1018 | } |
| 1019 | operators.emplace_back(op29, xnn_delete_operator); |
| 1020 | |
| 1021 | xnn_operator_t op30 = nullptr; |
| 1022 | status = xnn_create_convolution2d_nhwc_qu8( |
| 1023 | 0 /* top padding */, 0 /* right padding */, |
| 1024 | 0 /* bottom padding */, 0 /* left padding */, |
| 1025 | 1 /* kernel height */, 1 /* kernel width */, |
| 1026 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1027 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1028 | 1 /* groups */, |
| 1029 | 384 /* input channels per group */, |
| 1030 | 64 /* output_channels_per_group */, |
| 1031 | 384 /* input pixel stride */, |
| 1032 | 64 /* output pixel stride */, |
| 1033 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 1034 | w117.data(), w118.data(), |
| 1035 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 1036 | 0 /* flags */, |
| 1037 | &op30); |
| 1038 | if (status != xnn_status_success) { |
| 1039 | std::cerr << "failed to create operation #30" << std::endl; |
| 1040 | return ExecutionPlan(); |
| 1041 | } |
| 1042 | operators.emplace_back(op30, xnn_delete_operator); |
| 1043 | |
| 1044 | xnn_operator_t op31 = nullptr; |
| 1045 | status = xnn_create_add_nd_qu8( |
| 1046 | 127 /* input1 zero point */, 0.5f /* input1 scale */, |
| 1047 | 127 /* input2 zero point */, 0.5f /* input2 scale */, |
| 1048 | 127 /* output zero point */, 1.0f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 1049 | 0 /* flags */, |
| 1050 | &op31); |
| 1051 | if (status != xnn_status_success) { |
| 1052 | std::cerr << "failed to create operation #31" << std::endl; |
| 1053 | return ExecutionPlan(); |
| 1054 | } |
| 1055 | operators.emplace_back(op31, xnn_delete_operator); |
| 1056 | |
| 1057 | xnn_operator_t op32 = nullptr; |
| 1058 | status = xnn_create_convolution2d_nhwc_qu8( |
| 1059 | 0 /* top padding */, 0 /* right padding */, |
| 1060 | 0 /* bottom padding */, 0 /* left padding */, |
| 1061 | 1 /* kernel height */, 1 /* kernel width */, |
| 1062 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1063 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1064 | 1 /* groups */, |
| 1065 | 64 /* input channels per group */, |
| 1066 | 384 /* output_channels_per_group */, |
| 1067 | 64 /* input pixel stride */, |
| 1068 | 384 /* output pixel stride */, |
| 1069 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 1070 | w119.data(), w120.data(), |
| 1071 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 1072 | 0 /* flags */, |
| 1073 | &op32); |
| 1074 | if (status != xnn_status_success) { |
| 1075 | std::cerr << "failed to create operation #32" << std::endl; |
| 1076 | return ExecutionPlan(); |
| 1077 | } |
| 1078 | operators.emplace_back(op32, xnn_delete_operator); |
| 1079 | |
| 1080 | xnn_operator_t op33 = nullptr; |
| 1081 | status = xnn_create_convolution2d_nhwc_qu8( |
| 1082 | 1 /* top padding */, 1 /* right padding */, |
| 1083 | 1 /* bottom padding */, 1 /* left padding */, |
| 1084 | 3 /* kernel height */, 3 /* kernel width */, |
| 1085 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1086 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1087 | 384 /* groups */, |
| 1088 | 1 /* input channels per group */, |
| 1089 | 1 /* output_channels_per_group */, |
| 1090 | 384 /* input pixel stride */, |
| 1091 | 384 /* output pixel stride */, |
| 1092 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 1093 | w121.data(), w122.data(), |
| 1094 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 1095 | 0 /* flags */, |
| 1096 | &op33); |
| 1097 | if (status != xnn_status_success) { |
| 1098 | std::cerr << "failed to create operation #33" << std::endl; |
| 1099 | return ExecutionPlan(); |
| 1100 | } |
| 1101 | operators.emplace_back(op33, xnn_delete_operator); |
| 1102 | |
| 1103 | xnn_operator_t op34 = nullptr; |
| 1104 | status = xnn_create_convolution2d_nhwc_qu8( |
| 1105 | 0 /* top padding */, 0 /* right padding */, |
| 1106 | 0 /* bottom padding */, 0 /* left padding */, |
| 1107 | 1 /* kernel height */, 1 /* kernel width */, |
| 1108 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1109 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1110 | 1 /* groups */, |
| 1111 | 384 /* input channels per group */, |
| 1112 | 64 /* output_channels_per_group */, |
| 1113 | 384 /* input pixel stride */, |
| 1114 | 64 /* output pixel stride */, |
| 1115 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 1116 | w123.data(), w124.data(), |
| 1117 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 1118 | 0 /* flags */, |
| 1119 | &op34); |
| 1120 | if (status != xnn_status_success) { |
| 1121 | std::cerr << "failed to create operation #34" << std::endl; |
| 1122 | return ExecutionPlan(); |
| 1123 | } |
| 1124 | operators.emplace_back(op34, xnn_delete_operator); |
| 1125 | |
| 1126 | xnn_operator_t op35 = nullptr; |
| 1127 | status = xnn_create_add_nd_qu8( |
| 1128 | 127 /* input1 zero point */, 0.5f /* input1 scale */, |
| 1129 | 127 /* input2 zero point */, 0.5f /* input2 scale */, |
| 1130 | 127 /* output zero point */, 1.0f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 1131 | 0 /* flags */, |
| 1132 | &op35); |
| 1133 | if (status != xnn_status_success) { |
| 1134 | std::cerr << "failed to create operation #35" << std::endl; |
| 1135 | return ExecutionPlan(); |
| 1136 | } |
| 1137 | operators.emplace_back(op35, xnn_delete_operator); |
| 1138 | |
| 1139 | xnn_operator_t op36 = nullptr; |
| 1140 | status = xnn_create_convolution2d_nhwc_qu8( |
| 1141 | 0 /* top padding */, 0 /* right padding */, |
| 1142 | 0 /* bottom padding */, 0 /* left padding */, |
| 1143 | 1 /* kernel height */, 1 /* kernel width */, |
| 1144 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1145 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1146 | 1 /* groups */, |
| 1147 | 64 /* input channels per group */, |
| 1148 | 384 /* output_channels_per_group */, |
| 1149 | 64 /* input pixel stride */, |
| 1150 | 384 /* output pixel stride */, |
| 1151 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 1152 | w125.data(), w126.data(), |
| 1153 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 1154 | 0 /* flags */, |
| 1155 | &op36); |
| 1156 | if (status != xnn_status_success) { |
| 1157 | std::cerr << "failed to create operation #36" << std::endl; |
| 1158 | return ExecutionPlan(); |
| 1159 | } |
| 1160 | operators.emplace_back(op36, xnn_delete_operator); |
| 1161 | |
| 1162 | xnn_operator_t op37 = nullptr; |
| 1163 | status = xnn_create_convolution2d_nhwc_qu8( |
| 1164 | 1 /* top padding */, 1 /* right padding */, |
| 1165 | 1 /* bottom padding */, 1 /* left padding */, |
| 1166 | 3 /* kernel height */, 3 /* kernel width */, |
| 1167 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1168 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1169 | 384 /* groups */, |
| 1170 | 1 /* input channels per group */, |
| 1171 | 1 /* output_channels_per_group */, |
| 1172 | 384 /* input pixel stride */, |
| 1173 | 384 /* output pixel stride */, |
| 1174 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 1175 | w127.data(), w128.data(), |
| 1176 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 1177 | 0 /* flags */, |
| 1178 | &op37); |
| 1179 | if (status != xnn_status_success) { |
| 1180 | std::cerr << "failed to create operation #37" << std::endl; |
| 1181 | return ExecutionPlan(); |
| 1182 | } |
| 1183 | operators.emplace_back(op37, xnn_delete_operator); |
| 1184 | |
| 1185 | xnn_operator_t op38 = nullptr; |
| 1186 | status = xnn_create_convolution2d_nhwc_qu8( |
| 1187 | 0 /* top padding */, 0 /* right padding */, |
| 1188 | 0 /* bottom padding */, 0 /* left padding */, |
| 1189 | 1 /* kernel height */, 1 /* kernel width */, |
| 1190 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1191 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1192 | 1 /* groups */, |
| 1193 | 384 /* input channels per group */, |
| 1194 | 96 /* output_channels_per_group */, |
| 1195 | 384 /* input pixel stride */, |
| 1196 | 96 /* output pixel stride */, |
| 1197 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 1198 | w129.data(), w130.data(), |
| 1199 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 1200 | 0 /* flags */, |
| 1201 | &op38); |
| 1202 | if (status != xnn_status_success) { |
| 1203 | std::cerr << "failed to create operation #38" << std::endl; |
| 1204 | return ExecutionPlan(); |
| 1205 | } |
| 1206 | operators.emplace_back(op38, xnn_delete_operator); |
| 1207 | |
| 1208 | xnn_operator_t op39 = nullptr; |
| 1209 | status = xnn_create_convolution2d_nhwc_qu8( |
| 1210 | 0 /* top padding */, 0 /* right padding */, |
| 1211 | 0 /* bottom padding */, 0 /* left padding */, |
| 1212 | 1 /* kernel height */, 1 /* kernel width */, |
| 1213 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1214 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1215 | 1 /* groups */, |
| 1216 | 96 /* input channels per group */, |
| 1217 | 576 /* output_channels_per_group */, |
| 1218 | 96 /* input pixel stride */, |
| 1219 | 576 /* output pixel stride */, |
| 1220 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 1221 | w131.data(), w132.data(), |
| 1222 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 1223 | 0 /* flags */, |
| 1224 | &op39); |
| 1225 | if (status != xnn_status_success) { |
| 1226 | std::cerr << "failed to create operation #39" << std::endl; |
| 1227 | return ExecutionPlan(); |
| 1228 | } |
| 1229 | operators.emplace_back(op39, xnn_delete_operator); |
| 1230 | |
| 1231 | xnn_operator_t op40 = nullptr; |
| 1232 | status = xnn_create_convolution2d_nhwc_qu8( |
| 1233 | 1 /* top padding */, 1 /* right padding */, |
| 1234 | 1 /* bottom padding */, 1 /* left padding */, |
| 1235 | 3 /* kernel height */, 3 /* kernel width */, |
| 1236 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1237 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1238 | 576 /* groups */, |
| 1239 | 1 /* input channels per group */, |
| 1240 | 1 /* output_channels_per_group */, |
| 1241 | 576 /* input pixel stride */, |
| 1242 | 576 /* output pixel stride */, |
| 1243 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 1244 | w133.data(), w134.data(), |
| 1245 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 1246 | 0 /* flags */, |
| 1247 | &op40); |
| 1248 | if (status != xnn_status_success) { |
| 1249 | std::cerr << "failed to create operation #40" << std::endl; |
| 1250 | return ExecutionPlan(); |
| 1251 | } |
| 1252 | operators.emplace_back(op40, xnn_delete_operator); |
| 1253 | |
| 1254 | xnn_operator_t op41 = nullptr; |
| 1255 | status = xnn_create_convolution2d_nhwc_qu8( |
| 1256 | 0 /* top padding */, 0 /* right padding */, |
| 1257 | 0 /* bottom padding */, 0 /* left padding */, |
| 1258 | 1 /* kernel height */, 1 /* kernel width */, |
| 1259 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1260 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1261 | 1 /* groups */, |
| 1262 | 576 /* input channels per group */, |
| 1263 | 96 /* output_channels_per_group */, |
| 1264 | 576 /* input pixel stride */, |
| 1265 | 96 /* output pixel stride */, |
| 1266 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 1267 | w135.data(), w136.data(), |
| 1268 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 1269 | 0 /* flags */, |
| 1270 | &op41); |
| 1271 | if (status != xnn_status_success) { |
| 1272 | std::cerr << "failed to create operation #41" << std::endl; |
| 1273 | return ExecutionPlan(); |
| 1274 | } |
| 1275 | operators.emplace_back(op41, xnn_delete_operator); |
| 1276 | |
| 1277 | xnn_operator_t op42 = nullptr; |
| 1278 | status = xnn_create_add_nd_qu8( |
| 1279 | 127 /* input1 zero point */, 0.5f /* input1 scale */, |
| 1280 | 127 /* input2 zero point */, 0.5f /* input2 scale */, |
| 1281 | 127 /* output zero point */, 1.0f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 1282 | 0 /* flags */, |
| 1283 | &op42); |
| 1284 | if (status != xnn_status_success) { |
| 1285 | std::cerr << "failed to create operation #42" << std::endl; |
| 1286 | return ExecutionPlan(); |
| 1287 | } |
| 1288 | operators.emplace_back(op42, xnn_delete_operator); |
| 1289 | |
| 1290 | xnn_operator_t op43 = nullptr; |
| 1291 | status = xnn_create_convolution2d_nhwc_qu8( |
| 1292 | 0 /* top padding */, 0 /* right padding */, |
| 1293 | 0 /* bottom padding */, 0 /* left padding */, |
| 1294 | 1 /* kernel height */, 1 /* kernel width */, |
| 1295 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1296 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1297 | 1 /* groups */, |
| 1298 | 96 /* input channels per group */, |
| 1299 | 576 /* output_channels_per_group */, |
| 1300 | 96 /* input pixel stride */, |
| 1301 | 576 /* output pixel stride */, |
| 1302 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 1303 | w137.data(), w138.data(), |
| 1304 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 1305 | 0 /* flags */, |
| 1306 | &op43); |
| 1307 | if (status != xnn_status_success) { |
| 1308 | std::cerr << "failed to create operation #43" << std::endl; |
| 1309 | return ExecutionPlan(); |
| 1310 | } |
| 1311 | operators.emplace_back(op43, xnn_delete_operator); |
| 1312 | |
| 1313 | xnn_operator_t op44 = nullptr; |
| 1314 | status = xnn_create_convolution2d_nhwc_qu8( |
| 1315 | 1 /* top padding */, 1 /* right padding */, |
| 1316 | 1 /* bottom padding */, 1 /* left padding */, |
| 1317 | 3 /* kernel height */, 3 /* kernel width */, |
| 1318 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1319 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1320 | 576 /* groups */, |
| 1321 | 1 /* input channels per group */, |
| 1322 | 1 /* output_channels_per_group */, |
| 1323 | 576 /* input pixel stride */, |
| 1324 | 576 /* output pixel stride */, |
| 1325 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 1326 | w139.data(), w140.data(), |
| 1327 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 1328 | 0 /* flags */, |
| 1329 | &op44); |
| 1330 | if (status != xnn_status_success) { |
| 1331 | std::cerr << "failed to create operation #44" << std::endl; |
| 1332 | return ExecutionPlan(); |
| 1333 | } |
| 1334 | operators.emplace_back(op44, xnn_delete_operator); |
| 1335 | |
| 1336 | xnn_operator_t op45 = nullptr; |
| 1337 | status = xnn_create_convolution2d_nhwc_qu8( |
| 1338 | 0 /* top padding */, 0 /* right padding */, |
| 1339 | 0 /* bottom padding */, 0 /* left padding */, |
| 1340 | 1 /* kernel height */, 1 /* kernel width */, |
| 1341 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1342 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1343 | 1 /* groups */, |
| 1344 | 576 /* input channels per group */, |
| 1345 | 96 /* output_channels_per_group */, |
| 1346 | 576 /* input pixel stride */, |
| 1347 | 96 /* output pixel stride */, |
| 1348 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 1349 | w141.data(), w142.data(), |
| 1350 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 1351 | 0 /* flags */, |
| 1352 | &op45); |
| 1353 | if (status != xnn_status_success) { |
| 1354 | std::cerr << "failed to create operation #45" << std::endl; |
| 1355 | return ExecutionPlan(); |
| 1356 | } |
| 1357 | operators.emplace_back(op45, xnn_delete_operator); |
| 1358 | |
| 1359 | xnn_operator_t op46 = nullptr; |
| 1360 | status = xnn_create_add_nd_qu8( |
| 1361 | 127 /* input1 zero point */, 0.5f /* input1 scale */, |
| 1362 | 127 /* input2 zero point */, 0.5f /* input2 scale */, |
| 1363 | 127 /* output zero point */, 1.0f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 1364 | 0 /* flags */, |
| 1365 | &op46); |
| 1366 | if (status != xnn_status_success) { |
| 1367 | std::cerr << "failed to create operation #46" << std::endl; |
| 1368 | return ExecutionPlan(); |
| 1369 | } |
| 1370 | operators.emplace_back(op46, xnn_delete_operator); |
| 1371 | |
| 1372 | xnn_operator_t op47 = nullptr; |
| 1373 | status = xnn_create_convolution2d_nhwc_qu8( |
| 1374 | 0 /* top padding */, 0 /* right padding */, |
| 1375 | 0 /* bottom padding */, 0 /* left padding */, |
| 1376 | 1 /* kernel height */, 1 /* kernel width */, |
| 1377 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1378 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1379 | 1 /* groups */, |
| 1380 | 96 /* input channels per group */, |
| 1381 | 576 /* output_channels_per_group */, |
| 1382 | 96 /* input pixel stride */, |
| 1383 | 576 /* output pixel stride */, |
| 1384 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 1385 | w143.data(), w144.data(), |
| 1386 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 1387 | 0 /* flags */, |
| 1388 | &op47); |
| 1389 | if (status != xnn_status_success) { |
| 1390 | std::cerr << "failed to create operation #47" << std::endl; |
| 1391 | return ExecutionPlan(); |
| 1392 | } |
| 1393 | operators.emplace_back(op47, xnn_delete_operator); |
| 1394 | |
| 1395 | xnn_operator_t op48 = nullptr; |
| 1396 | status = xnn_create_convolution2d_nhwc_qu8( |
| 1397 | 0 /* top padding */, 1 /* right padding */, |
| 1398 | 1 /* bottom padding */, 0 /* left padding */, |
| 1399 | 3 /* kernel height */, 3 /* kernel width */, |
| 1400 | 2 /* subsampling height */, 2 /* subsampling width */, |
| 1401 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1402 | 576 /* groups */, |
| 1403 | 1 /* input channels per group */, |
| 1404 | 1 /* output_channels_per_group */, |
| 1405 | 576 /* input pixel stride */, |
| 1406 | 576 /* output pixel stride */, |
| 1407 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 1408 | w145.data(), w146.data(), |
| 1409 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 1410 | 0 /* flags */, |
| 1411 | &op48); |
| 1412 | if (status != xnn_status_success) { |
| 1413 | std::cerr << "failed to create operation #48" << std::endl; |
| 1414 | return ExecutionPlan(); |
| 1415 | } |
| 1416 | operators.emplace_back(op48, xnn_delete_operator); |
| 1417 | |
| 1418 | xnn_operator_t op49 = nullptr; |
| 1419 | status = xnn_create_convolution2d_nhwc_qu8( |
| 1420 | 0 /* top padding */, 0 /* right padding */, |
| 1421 | 0 /* bottom padding */, 0 /* left padding */, |
| 1422 | 1 /* kernel height */, 1 /* kernel width */, |
| 1423 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1424 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1425 | 1 /* groups */, |
| 1426 | 576 /* input channels per group */, |
| 1427 | 160 /* output_channels_per_group */, |
| 1428 | 576 /* input pixel stride */, |
| 1429 | 160 /* output pixel stride */, |
| 1430 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 1431 | w147.data(), w148.data(), |
| 1432 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 1433 | 0 /* flags */, |
| 1434 | &op49); |
| 1435 | if (status != xnn_status_success) { |
| 1436 | std::cerr << "failed to create operation #49" << std::endl; |
| 1437 | return ExecutionPlan(); |
| 1438 | } |
| 1439 | operators.emplace_back(op49, xnn_delete_operator); |
| 1440 | |
| 1441 | xnn_operator_t op50 = nullptr; |
| 1442 | status = xnn_create_convolution2d_nhwc_qu8( |
| 1443 | 0 /* top padding */, 0 /* right padding */, |
| 1444 | 0 /* bottom padding */, 0 /* left padding */, |
| 1445 | 1 /* kernel height */, 1 /* kernel width */, |
| 1446 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1447 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1448 | 1 /* groups */, |
| 1449 | 160 /* input channels per group */, |
| 1450 | 960 /* output_channels_per_group */, |
| 1451 | 160 /* input pixel stride */, |
| 1452 | 960 /* output pixel stride */, |
| 1453 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 1454 | w149.data(), w150.data(), |
| 1455 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 1456 | 0 /* flags */, |
| 1457 | &op50); |
| 1458 | if (status != xnn_status_success) { |
| 1459 | std::cerr << "failed to create operation #50" << std::endl; |
| 1460 | return ExecutionPlan(); |
| 1461 | } |
| 1462 | operators.emplace_back(op50, xnn_delete_operator); |
| 1463 | |
| 1464 | xnn_operator_t op51 = nullptr; |
| 1465 | status = xnn_create_convolution2d_nhwc_qu8( |
| 1466 | 1 /* top padding */, 1 /* right padding */, |
| 1467 | 1 /* bottom padding */, 1 /* left padding */, |
| 1468 | 3 /* kernel height */, 3 /* kernel width */, |
| 1469 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1470 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1471 | 960 /* groups */, |
| 1472 | 1 /* input channels per group */, |
| 1473 | 1 /* output_channels_per_group */, |
| 1474 | 960 /* input pixel stride */, |
| 1475 | 960 /* output pixel stride */, |
| 1476 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 1477 | w151.data(), w152.data(), |
| 1478 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 1479 | 0 /* flags */, |
| 1480 | &op51); |
| 1481 | if (status != xnn_status_success) { |
| 1482 | std::cerr << "failed to create operation #51" << std::endl; |
| 1483 | return ExecutionPlan(); |
| 1484 | } |
| 1485 | operators.emplace_back(op51, xnn_delete_operator); |
| 1486 | |
| 1487 | xnn_operator_t op52 = nullptr; |
| 1488 | status = xnn_create_convolution2d_nhwc_qu8( |
| 1489 | 0 /* top padding */, 0 /* right padding */, |
| 1490 | 0 /* bottom padding */, 0 /* left padding */, |
| 1491 | 1 /* kernel height */, 1 /* kernel width */, |
| 1492 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1493 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1494 | 1 /* groups */, |
| 1495 | 960 /* input channels per group */, |
| 1496 | 160 /* output_channels_per_group */, |
| 1497 | 960 /* input pixel stride */, |
| 1498 | 160 /* output pixel stride */, |
| 1499 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 1500 | w153.data(), w154.data(), |
| 1501 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 1502 | 0 /* flags */, |
| 1503 | &op52); |
| 1504 | if (status != xnn_status_success) { |
| 1505 | std::cerr << "failed to create operation #52" << std::endl; |
| 1506 | return ExecutionPlan(); |
| 1507 | } |
| 1508 | operators.emplace_back(op52, xnn_delete_operator); |
| 1509 | |
| 1510 | xnn_operator_t op53 = nullptr; |
| 1511 | status = xnn_create_add_nd_qu8( |
| 1512 | 127 /* input1 zero point */, 0.5f /* input1 scale */, |
| 1513 | 127 /* input2 zero point */, 0.5f /* input2 scale */, |
| 1514 | 127 /* output zero point */, 1.0f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 1515 | 0 /* flags */, |
| 1516 | &op53); |
| 1517 | if (status != xnn_status_success) { |
| 1518 | std::cerr << "failed to create operation #53" << std::endl; |
| 1519 | return ExecutionPlan(); |
| 1520 | } |
| 1521 | operators.emplace_back(op53, xnn_delete_operator); |
| 1522 | |
| 1523 | xnn_operator_t op54 = nullptr; |
| 1524 | status = xnn_create_convolution2d_nhwc_qu8( |
| 1525 | 0 /* top padding */, 0 /* right padding */, |
| 1526 | 0 /* bottom padding */, 0 /* left padding */, |
| 1527 | 1 /* kernel height */, 1 /* kernel width */, |
| 1528 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1529 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1530 | 1 /* groups */, |
| 1531 | 160 /* input channels per group */, |
| 1532 | 960 /* output_channels_per_group */, |
| 1533 | 160 /* input pixel stride */, |
| 1534 | 960 /* output pixel stride */, |
| 1535 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 1536 | w155.data(), w156.data(), |
| 1537 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 1538 | 0 /* flags */, |
| 1539 | &op54); |
| 1540 | if (status != xnn_status_success) { |
| 1541 | std::cerr << "failed to create operation #54" << std::endl; |
| 1542 | return ExecutionPlan(); |
| 1543 | } |
| 1544 | operators.emplace_back(op54, xnn_delete_operator); |
| 1545 | |
| 1546 | xnn_operator_t op55 = nullptr; |
| 1547 | status = xnn_create_convolution2d_nhwc_qu8( |
| 1548 | 1 /* top padding */, 1 /* right padding */, |
| 1549 | 1 /* bottom padding */, 1 /* left padding */, |
| 1550 | 3 /* kernel height */, 3 /* kernel width */, |
| 1551 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1552 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1553 | 960 /* groups */, |
| 1554 | 1 /* input channels per group */, |
| 1555 | 1 /* output_channels_per_group */, |
| 1556 | 960 /* input pixel stride */, |
| 1557 | 960 /* output pixel stride */, |
| 1558 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 1559 | w157.data(), w158.data(), |
| 1560 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 1561 | 0 /* flags */, |
| 1562 | &op55); |
| 1563 | if (status != xnn_status_success) { |
| 1564 | std::cerr << "failed to create operation #55" << std::endl; |
| 1565 | return ExecutionPlan(); |
| 1566 | } |
| 1567 | operators.emplace_back(op55, xnn_delete_operator); |
| 1568 | |
| 1569 | xnn_operator_t op56 = nullptr; |
| 1570 | status = xnn_create_convolution2d_nhwc_qu8( |
| 1571 | 0 /* top padding */, 0 /* right padding */, |
| 1572 | 0 /* bottom padding */, 0 /* left padding */, |
| 1573 | 1 /* kernel height */, 1 /* kernel width */, |
| 1574 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1575 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1576 | 1 /* groups */, |
| 1577 | 960 /* input channels per group */, |
| 1578 | 160 /* output_channels_per_group */, |
| 1579 | 960 /* input pixel stride */, |
| 1580 | 160 /* output pixel stride */, |
| 1581 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 1582 | w159.data(), w160.data(), |
| 1583 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 1584 | 0 /* flags */, |
| 1585 | &op56); |
| 1586 | if (status != xnn_status_success) { |
| 1587 | std::cerr << "failed to create operation #56" << std::endl; |
| 1588 | return ExecutionPlan(); |
| 1589 | } |
| 1590 | operators.emplace_back(op56, xnn_delete_operator); |
| 1591 | |
| 1592 | xnn_operator_t op57 = nullptr; |
| 1593 | status = xnn_create_add_nd_qu8( |
| 1594 | 127 /* input1 zero point */, 0.5f /* input1 scale */, |
| 1595 | 127 /* input2 zero point */, 0.5f /* input2 scale */, |
| 1596 | 127 /* output zero point */, 1.0f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 1597 | 0 /* flags */, |
| 1598 | &op57); |
| 1599 | if (status != xnn_status_success) { |
| 1600 | std::cerr << "failed to create operation #57" << std::endl; |
| 1601 | return ExecutionPlan(); |
| 1602 | } |
| 1603 | operators.emplace_back(op57, xnn_delete_operator); |
| 1604 | |
| 1605 | xnn_operator_t op58 = nullptr; |
| 1606 | status = xnn_create_convolution2d_nhwc_qu8( |
| 1607 | 0 /* top padding */, 0 /* right padding */, |
| 1608 | 0 /* bottom padding */, 0 /* left padding */, |
| 1609 | 1 /* kernel height */, 1 /* kernel width */, |
| 1610 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1611 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1612 | 1 /* groups */, |
| 1613 | 160 /* input channels per group */, |
| 1614 | 960 /* output_channels_per_group */, |
| 1615 | 160 /* input pixel stride */, |
| 1616 | 960 /* output pixel stride */, |
| 1617 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 1618 | w161.data(), w162.data(), |
| 1619 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 1620 | 0 /* flags */, |
| 1621 | &op58); |
| 1622 | if (status != xnn_status_success) { |
| 1623 | std::cerr << "failed to create operation #58" << std::endl; |
| 1624 | return ExecutionPlan(); |
| 1625 | } |
| 1626 | operators.emplace_back(op58, xnn_delete_operator); |
| 1627 | |
| 1628 | xnn_operator_t op59 = nullptr; |
| 1629 | status = xnn_create_convolution2d_nhwc_qu8( |
| 1630 | 1 /* top padding */, 1 /* right padding */, |
| 1631 | 1 /* bottom padding */, 1 /* left padding */, |
| 1632 | 3 /* kernel height */, 3 /* kernel width */, |
| 1633 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1634 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1635 | 960 /* groups */, |
| 1636 | 1 /* input channels per group */, |
| 1637 | 1 /* output_channels_per_group */, |
| 1638 | 960 /* input pixel stride */, |
| 1639 | 960 /* output pixel stride */, |
| 1640 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 1641 | w163.data(), w164.data(), |
| 1642 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 1643 | 0 /* flags */, |
| 1644 | &op59); |
| 1645 | if (status != xnn_status_success) { |
| 1646 | std::cerr << "failed to create operation #59" << std::endl; |
| 1647 | return ExecutionPlan(); |
| 1648 | } |
| 1649 | operators.emplace_back(op59, xnn_delete_operator); |
| 1650 | |
| 1651 | xnn_operator_t op60 = nullptr; |
| 1652 | status = xnn_create_convolution2d_nhwc_qu8( |
| 1653 | 0 /* top padding */, 0 /* right padding */, |
| 1654 | 0 /* bottom padding */, 0 /* left padding */, |
| 1655 | 1 /* kernel height */, 1 /* kernel width */, |
| 1656 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1657 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1658 | 1 /* groups */, |
| 1659 | 960 /* input channels per group */, |
| 1660 | 320 /* output_channels_per_group */, |
| 1661 | 960 /* input pixel stride */, |
| 1662 | 320 /* output pixel stride */, |
| 1663 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 1664 | w165.data(), w166.data(), |
| 1665 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 1666 | 0 /* flags */, |
| 1667 | &op60); |
| 1668 | if (status != xnn_status_success) { |
| 1669 | std::cerr << "failed to create operation #60" << std::endl; |
| 1670 | return ExecutionPlan(); |
| 1671 | } |
| 1672 | operators.emplace_back(op60, xnn_delete_operator); |
| 1673 | |
| 1674 | xnn_operator_t op61 = nullptr; |
| 1675 | status = xnn_create_convolution2d_nhwc_qu8( |
| 1676 | 0 /* top padding */, 0 /* right padding */, |
| 1677 | 0 /* bottom padding */, 0 /* left padding */, |
| 1678 | 1 /* kernel height */, 1 /* kernel width */, |
| 1679 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1680 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1681 | 1 /* groups */, |
| 1682 | 320 /* input channels per group */, |
| 1683 | 1280 /* output_channels_per_group */, |
| 1684 | 320 /* input pixel stride */, |
| 1685 | 1280 /* output pixel stride */, |
| 1686 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 1687 | w167.data(), w168.data(), |
| 1688 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 1689 | 0 /* flags */, |
| 1690 | &op61); |
| 1691 | if (status != xnn_status_success) { |
| 1692 | std::cerr << "failed to create operation #61" << std::endl; |
| 1693 | return ExecutionPlan(); |
| 1694 | } |
| 1695 | operators.emplace_back(op61, xnn_delete_operator); |
| 1696 | |
| 1697 | xnn_operator_t op62 = nullptr; |
| 1698 | status = xnn_create_global_average_pooling_nwc_qu8( |
| 1699 | 1280 /* channels */, 1280 /* input stride */, 1280 /* output stride */, |
| 1700 | 127 /* input zero point */, 0.5f /* input scale */, |
| 1701 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 1702 | 0 /* flags */, |
| 1703 | &op62); |
| 1704 | if (status != xnn_status_success) { |
| 1705 | std::cerr << "failed to create operation #62" << std::endl; |
| 1706 | return ExecutionPlan(); |
| 1707 | } |
| 1708 | operators.emplace_back(op62, xnn_delete_operator); |
| 1709 | |
| 1710 | xnn_operator_t op63 = nullptr; |
| 1711 | status = xnn_create_convolution2d_nhwc_qu8( |
| 1712 | 0 /* top padding */, 0 /* right padding */, |
| 1713 | 0 /* bottom padding */, 0 /* left padding */, |
| 1714 | 1 /* kernel height */, 1 /* kernel width */, |
| 1715 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1716 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1717 | 1 /* groups */, |
| 1718 | 1280 /* input channels per group */, |
| 1719 | 1001 /* output_channels_per_group */, |
| 1720 | 1280 /* input pixel stride */, |
| 1721 | 1001 /* output pixel stride */, |
| 1722 | 127 /* input zero point */, 0.5f /* input scale */, 128 /* kernel zero point */, 0.5f /* kernel scale */, |
| 1723 | w169.data(), w170.data(), |
| 1724 | 127 /* output zero point */, 0.5f /* output scale */, 1 /* output min */, 254 /* output max */, |
| 1725 | 0 /* flags */, |
| 1726 | &op63); |
| 1727 | if (status != xnn_status_success) { |
| 1728 | std::cerr << "failed to create operation #63" << std::endl; |
| 1729 | return ExecutionPlan(); |
| 1730 | } |
| 1731 | operators.emplace_back(op63, xnn_delete_operator); |
| 1732 | |
| 1733 | |
| 1734 | |
| 1735 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 1736 | op0, |
| 1737 | 1 /* batch size */, 224 /* input height */, 224 /* input width */, |
| 1738 | v0.data() /* input */, v1.data() /* output */, |
| 1739 | threadpool /* threadpool */); |
| 1740 | if (status != xnn_status_success) { |
| 1741 | std::cerr << "failed to setup operation #0" << std::endl; |
| 1742 | return ExecutionPlan(); |
| 1743 | } |
| 1744 | |
| 1745 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 1746 | op1, |
| 1747 | 1 /* batch size */, 112 /* input height */, 112 /* input width */, |
| 1748 | v1.data() /* input */, v2.data() /* output */, |
| 1749 | threadpool /* threadpool */); |
| 1750 | if (status != xnn_status_success) { |
| 1751 | std::cerr << "failed to setup operation #1" << std::endl; |
| 1752 | return ExecutionPlan(); |
| 1753 | } |
| 1754 | |
| 1755 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 1756 | op2, |
| 1757 | 1 /* batch size */, 112 /* input height */, 112 /* input width */, |
| 1758 | v2.data() /* input */, v3.data() /* output */, |
| 1759 | threadpool /* threadpool */); |
| 1760 | if (status != xnn_status_success) { |
| 1761 | std::cerr << "failed to setup operation #2" << std::endl; |
| 1762 | return ExecutionPlan(); |
| 1763 | } |
| 1764 | |
| 1765 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 1766 | op3, |
| 1767 | 1 /* batch size */, 112 /* input height */, 112 /* input width */, |
| 1768 | v3.data() /* input */, v4.data() /* output */, |
| 1769 | threadpool /* threadpool */); |
| 1770 | if (status != xnn_status_success) { |
| 1771 | std::cerr << "failed to setup operation #3" << std::endl; |
| 1772 | return ExecutionPlan(); |
| 1773 | } |
| 1774 | |
| 1775 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 1776 | op4, |
| 1777 | 1 /* batch size */, 112 /* input height */, 112 /* input width */, |
| 1778 | v4.data() /* input */, v5.data() /* output */, |
| 1779 | threadpool /* threadpool */); |
| 1780 | if (status != xnn_status_success) { |
| 1781 | std::cerr << "failed to setup operation #4" << std::endl; |
| 1782 | return ExecutionPlan(); |
| 1783 | } |
| 1784 | |
| 1785 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 1786 | op5, |
| 1787 | 1 /* batch size */, 56 /* input height */, 56 /* input width */, |
| 1788 | v5.data() /* input */, v6.data() /* output */, |
| 1789 | threadpool /* threadpool */); |
| 1790 | if (status != xnn_status_success) { |
| 1791 | std::cerr << "failed to setup operation #5" << std::endl; |
| 1792 | return ExecutionPlan(); |
| 1793 | } |
| 1794 | |
| 1795 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 1796 | op6, |
| 1797 | 1 /* batch size */, 56 /* input height */, 56 /* input width */, |
| 1798 | v6.data() /* input */, v7.data() /* output */, |
| 1799 | threadpool /* threadpool */); |
| 1800 | if (status != xnn_status_success) { |
| 1801 | std::cerr << "failed to setup operation #6" << std::endl; |
| 1802 | return ExecutionPlan(); |
| 1803 | } |
| 1804 | |
| 1805 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 1806 | op7, |
| 1807 | 1 /* batch size */, 56 /* input height */, 56 /* input width */, |
| 1808 | v7.data() /* input */, v8.data() /* output */, |
| 1809 | threadpool /* threadpool */); |
| 1810 | if (status != xnn_status_success) { |
| 1811 | std::cerr << "failed to setup operation #7" << std::endl; |
| 1812 | return ExecutionPlan(); |
| 1813 | } |
| 1814 | |
| 1815 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 1816 | op8, |
| 1817 | 1 /* batch size */, 56 /* input height */, 56 /* input width */, |
| 1818 | v8.data() /* input */, v9.data() /* output */, |
| 1819 | threadpool /* threadpool */); |
| 1820 | if (status != xnn_status_success) { |
| 1821 | std::cerr << "failed to setup operation #8" << std::endl; |
| 1822 | return ExecutionPlan(); |
| 1823 | } |
| 1824 | |
| 1825 | { |
| 1826 | const size_t a_shape[] = { 1, 56, 56, 24 }; |
| 1827 | const size_t b_shape[] = { 1, 56, 56, 24 }; |
| 1828 | status = xnn_setup_add_nd_qu8( |
| 1829 | op9, |
| 1830 | 4, a_shape, 4, b_shape, |
| 1831 | v9.data() /* a */, v6.data() /* b */, v10.data() /* output */, |
| 1832 | threadpool /* threadpool */); |
| 1833 | } |
| 1834 | if (status != xnn_status_success) { |
| 1835 | std::cerr << "failed to setup operation #9" << std::endl; |
| 1836 | return ExecutionPlan(); |
| 1837 | } |
| 1838 | |
| 1839 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 1840 | op10, |
| 1841 | 1 /* batch size */, 56 /* input height */, 56 /* input width */, |
| 1842 | v10.data() /* input */, v11.data() /* output */, |
| 1843 | threadpool /* threadpool */); |
| 1844 | if (status != xnn_status_success) { |
| 1845 | std::cerr << "failed to setup operation #10" << std::endl; |
| 1846 | return ExecutionPlan(); |
| 1847 | } |
| 1848 | |
| 1849 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 1850 | op11, |
| 1851 | 1 /* batch size */, 56 /* input height */, 56 /* input width */, |
| 1852 | v11.data() /* input */, v12.data() /* output */, |
| 1853 | threadpool /* threadpool */); |
| 1854 | if (status != xnn_status_success) { |
| 1855 | std::cerr << "failed to setup operation #11" << std::endl; |
| 1856 | return ExecutionPlan(); |
| 1857 | } |
| 1858 | |
| 1859 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 1860 | op12, |
| 1861 | 1 /* batch size */, 28 /* input height */, 28 /* input width */, |
| 1862 | v12.data() /* input */, v13.data() /* output */, |
| 1863 | threadpool /* threadpool */); |
| 1864 | if (status != xnn_status_success) { |
| 1865 | std::cerr << "failed to setup operation #12" << std::endl; |
| 1866 | return ExecutionPlan(); |
| 1867 | } |
| 1868 | |
| 1869 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 1870 | op13, |
| 1871 | 1 /* batch size */, 28 /* input height */, 28 /* input width */, |
| 1872 | v13.data() /* input */, v14.data() /* output */, |
| 1873 | threadpool /* threadpool */); |
| 1874 | if (status != xnn_status_success) { |
| 1875 | std::cerr << "failed to setup operation #13" << std::endl; |
| 1876 | return ExecutionPlan(); |
| 1877 | } |
| 1878 | |
| 1879 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 1880 | op14, |
| 1881 | 1 /* batch size */, 28 /* input height */, 28 /* input width */, |
| 1882 | v14.data() /* input */, v15.data() /* output */, |
| 1883 | threadpool /* threadpool */); |
| 1884 | if (status != xnn_status_success) { |
| 1885 | std::cerr << "failed to setup operation #14" << std::endl; |
| 1886 | return ExecutionPlan(); |
| 1887 | } |
| 1888 | |
| 1889 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 1890 | op15, |
| 1891 | 1 /* batch size */, 28 /* input height */, 28 /* input width */, |
| 1892 | v15.data() /* input */, v16.data() /* output */, |
| 1893 | threadpool /* threadpool */); |
| 1894 | if (status != xnn_status_success) { |
| 1895 | std::cerr << "failed to setup operation #15" << std::endl; |
| 1896 | return ExecutionPlan(); |
| 1897 | } |
| 1898 | |
| 1899 | { |
| 1900 | const size_t a_shape[] = { 1, 28, 28, 32 }; |
| 1901 | const size_t b_shape[] = { 1, 28, 28, 32 }; |
| 1902 | status = xnn_setup_add_nd_qu8( |
| 1903 | op16, |
| 1904 | 4, a_shape, 4, b_shape, |
| 1905 | v16.data() /* a */, v13.data() /* b */, v17.data() /* output */, |
| 1906 | threadpool /* threadpool */); |
| 1907 | } |
| 1908 | if (status != xnn_status_success) { |
| 1909 | std::cerr << "failed to setup operation #16" << std::endl; |
| 1910 | return ExecutionPlan(); |
| 1911 | } |
| 1912 | |
| 1913 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 1914 | op17, |
| 1915 | 1 /* batch size */, 28 /* input height */, 28 /* input width */, |
| 1916 | v17.data() /* input */, v18.data() /* output */, |
| 1917 | threadpool /* threadpool */); |
| 1918 | if (status != xnn_status_success) { |
| 1919 | std::cerr << "failed to setup operation #17" << std::endl; |
| 1920 | return ExecutionPlan(); |
| 1921 | } |
| 1922 | |
| 1923 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 1924 | op18, |
| 1925 | 1 /* batch size */, 28 /* input height */, 28 /* input width */, |
| 1926 | v18.data() /* input */, v19.data() /* output */, |
| 1927 | threadpool /* threadpool */); |
| 1928 | if (status != xnn_status_success) { |
| 1929 | std::cerr << "failed to setup operation #18" << std::endl; |
| 1930 | return ExecutionPlan(); |
| 1931 | } |
| 1932 | |
| 1933 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 1934 | op19, |
| 1935 | 1 /* batch size */, 28 /* input height */, 28 /* input width */, |
| 1936 | v19.data() /* input */, v20.data() /* output */, |
| 1937 | threadpool /* threadpool */); |
| 1938 | if (status != xnn_status_success) { |
| 1939 | std::cerr << "failed to setup operation #19" << std::endl; |
| 1940 | return ExecutionPlan(); |
| 1941 | } |
| 1942 | |
| 1943 | { |
| 1944 | const size_t a_shape[] = { 1, 28, 28, 32 }; |
| 1945 | const size_t b_shape[] = { 1, 28, 28, 32 }; |
| 1946 | status = xnn_setup_add_nd_qu8( |
| 1947 | op20, |
| 1948 | 4, a_shape, 4, b_shape, |
| 1949 | v20.data() /* a */, v17.data() /* b */, v21.data() /* output */, |
| 1950 | threadpool /* threadpool */); |
| 1951 | } |
| 1952 | if (status != xnn_status_success) { |
| 1953 | std::cerr << "failed to setup operation #20" << std::endl; |
| 1954 | return ExecutionPlan(); |
| 1955 | } |
| 1956 | |
| 1957 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 1958 | op21, |
| 1959 | 1 /* batch size */, 28 /* input height */, 28 /* input width */, |
| 1960 | v21.data() /* input */, v22.data() /* output */, |
| 1961 | threadpool /* threadpool */); |
| 1962 | if (status != xnn_status_success) { |
| 1963 | std::cerr << "failed to setup operation #21" << std::endl; |
| 1964 | return ExecutionPlan(); |
| 1965 | } |
| 1966 | |
| 1967 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 1968 | op22, |
| 1969 | 1 /* batch size */, 28 /* input height */, 28 /* input width */, |
| 1970 | v22.data() /* input */, v23.data() /* output */, |
| 1971 | threadpool /* threadpool */); |
| 1972 | if (status != xnn_status_success) { |
| 1973 | std::cerr << "failed to setup operation #22" << std::endl; |
| 1974 | return ExecutionPlan(); |
| 1975 | } |
| 1976 | |
| 1977 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 1978 | op23, |
| 1979 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 1980 | v23.data() /* input */, v24.data() /* output */, |
| 1981 | threadpool /* threadpool */); |
| 1982 | if (status != xnn_status_success) { |
| 1983 | std::cerr << "failed to setup operation #23" << std::endl; |
| 1984 | return ExecutionPlan(); |
| 1985 | } |
| 1986 | |
| 1987 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 1988 | op24, |
| 1989 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 1990 | v24.data() /* input */, v25.data() /* output */, |
| 1991 | threadpool /* threadpool */); |
| 1992 | if (status != xnn_status_success) { |
| 1993 | std::cerr << "failed to setup operation #24" << std::endl; |
| 1994 | return ExecutionPlan(); |
| 1995 | } |
| 1996 | |
| 1997 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 1998 | op25, |
| 1999 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2000 | v25.data() /* input */, v26.data() /* output */, |
| 2001 | threadpool /* threadpool */); |
| 2002 | if (status != xnn_status_success) { |
| 2003 | std::cerr << "failed to setup operation #25" << std::endl; |
| 2004 | return ExecutionPlan(); |
| 2005 | } |
| 2006 | |
| 2007 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 2008 | op26, |
| 2009 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2010 | v26.data() /* input */, v27.data() /* output */, |
| 2011 | threadpool /* threadpool */); |
| 2012 | if (status != xnn_status_success) { |
| 2013 | std::cerr << "failed to setup operation #26" << std::endl; |
| 2014 | return ExecutionPlan(); |
| 2015 | } |
| 2016 | |
| 2017 | { |
| 2018 | const size_t a_shape[] = { 1, 14, 14, 64 }; |
| 2019 | const size_t b_shape[] = { 1, 14, 14, 64 }; |
| 2020 | status = xnn_setup_add_nd_qu8( |
| 2021 | op27, |
| 2022 | 4, a_shape, 4, b_shape, |
| 2023 | v27.data() /* a */, v24.data() /* b */, v28.data() /* output */, |
| 2024 | threadpool /* threadpool */); |
| 2025 | } |
| 2026 | if (status != xnn_status_success) { |
| 2027 | std::cerr << "failed to setup operation #27" << std::endl; |
| 2028 | return ExecutionPlan(); |
| 2029 | } |
| 2030 | |
| 2031 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 2032 | op28, |
| 2033 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2034 | v28.data() /* input */, v29.data() /* output */, |
| 2035 | threadpool /* threadpool */); |
| 2036 | if (status != xnn_status_success) { |
| 2037 | std::cerr << "failed to setup operation #28" << std::endl; |
| 2038 | return ExecutionPlan(); |
| 2039 | } |
| 2040 | |
| 2041 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 2042 | op29, |
| 2043 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2044 | v29.data() /* input */, v30.data() /* output */, |
| 2045 | threadpool /* threadpool */); |
| 2046 | if (status != xnn_status_success) { |
| 2047 | std::cerr << "failed to setup operation #29" << std::endl; |
| 2048 | return ExecutionPlan(); |
| 2049 | } |
| 2050 | |
| 2051 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 2052 | op30, |
| 2053 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2054 | v30.data() /* input */, v31.data() /* output */, |
| 2055 | threadpool /* threadpool */); |
| 2056 | if (status != xnn_status_success) { |
| 2057 | std::cerr << "failed to setup operation #30" << std::endl; |
| 2058 | return ExecutionPlan(); |
| 2059 | } |
| 2060 | |
| 2061 | { |
| 2062 | const size_t a_shape[] = { 1, 14, 14, 64 }; |
| 2063 | const size_t b_shape[] = { 1, 14, 14, 64 }; |
| 2064 | status = xnn_setup_add_nd_qu8( |
| 2065 | op31, |
| 2066 | 4, a_shape, 4, b_shape, |
| 2067 | v31.data() /* a */, v28.data() /* b */, v32.data() /* output */, |
| 2068 | threadpool /* threadpool */); |
| 2069 | } |
| 2070 | if (status != xnn_status_success) { |
| 2071 | std::cerr << "failed to setup operation #31" << std::endl; |
| 2072 | return ExecutionPlan(); |
| 2073 | } |
| 2074 | |
| 2075 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 2076 | op32, |
| 2077 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2078 | v32.data() /* input */, v33.data() /* output */, |
| 2079 | threadpool /* threadpool */); |
| 2080 | if (status != xnn_status_success) { |
| 2081 | std::cerr << "failed to setup operation #32" << std::endl; |
| 2082 | return ExecutionPlan(); |
| 2083 | } |
| 2084 | |
| 2085 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 2086 | op33, |
| 2087 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2088 | v33.data() /* input */, v34.data() /* output */, |
| 2089 | threadpool /* threadpool */); |
| 2090 | if (status != xnn_status_success) { |
| 2091 | std::cerr << "failed to setup operation #33" << std::endl; |
| 2092 | return ExecutionPlan(); |
| 2093 | } |
| 2094 | |
| 2095 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 2096 | op34, |
| 2097 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2098 | v34.data() /* input */, v35.data() /* output */, |
| 2099 | threadpool /* threadpool */); |
| 2100 | if (status != xnn_status_success) { |
| 2101 | std::cerr << "failed to setup operation #34" << std::endl; |
| 2102 | return ExecutionPlan(); |
| 2103 | } |
| 2104 | |
| 2105 | { |
| 2106 | const size_t a_shape[] = { 1, 14, 14, 64 }; |
| 2107 | const size_t b_shape[] = { 1, 14, 14, 64 }; |
| 2108 | status = xnn_setup_add_nd_qu8( |
| 2109 | op35, |
| 2110 | 4, a_shape, 4, b_shape, |
| 2111 | v35.data() /* a */, v32.data() /* b */, v36.data() /* output */, |
| 2112 | threadpool /* threadpool */); |
| 2113 | } |
| 2114 | if (status != xnn_status_success) { |
| 2115 | std::cerr << "failed to setup operation #35" << std::endl; |
| 2116 | return ExecutionPlan(); |
| 2117 | } |
| 2118 | |
| 2119 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 2120 | op36, |
| 2121 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2122 | v36.data() /* input */, v37.data() /* output */, |
| 2123 | threadpool /* threadpool */); |
| 2124 | if (status != xnn_status_success) { |
| 2125 | std::cerr << "failed to setup operation #36" << std::endl; |
| 2126 | return ExecutionPlan(); |
| 2127 | } |
| 2128 | |
| 2129 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 2130 | op37, |
| 2131 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2132 | v37.data() /* input */, v38.data() /* output */, |
| 2133 | threadpool /* threadpool */); |
| 2134 | if (status != xnn_status_success) { |
| 2135 | std::cerr << "failed to setup operation #37" << std::endl; |
| 2136 | return ExecutionPlan(); |
| 2137 | } |
| 2138 | |
| 2139 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 2140 | op38, |
| 2141 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2142 | v38.data() /* input */, v39.data() /* output */, |
| 2143 | threadpool /* threadpool */); |
| 2144 | if (status != xnn_status_success) { |
| 2145 | std::cerr << "failed to setup operation #38" << std::endl; |
| 2146 | return ExecutionPlan(); |
| 2147 | } |
| 2148 | |
| 2149 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 2150 | op39, |
| 2151 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2152 | v39.data() /* input */, v40.data() /* output */, |
| 2153 | threadpool /* threadpool */); |
| 2154 | if (status != xnn_status_success) { |
| 2155 | std::cerr << "failed to setup operation #39" << std::endl; |
| 2156 | return ExecutionPlan(); |
| 2157 | } |
| 2158 | |
| 2159 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 2160 | op40, |
| 2161 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2162 | v40.data() /* input */, v41.data() /* output */, |
| 2163 | threadpool /* threadpool */); |
| 2164 | if (status != xnn_status_success) { |
| 2165 | std::cerr << "failed to setup operation #40" << std::endl; |
| 2166 | return ExecutionPlan(); |
| 2167 | } |
| 2168 | |
| 2169 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 2170 | op41, |
| 2171 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2172 | v41.data() /* input */, v42.data() /* output */, |
| 2173 | threadpool /* threadpool */); |
| 2174 | if (status != xnn_status_success) { |
| 2175 | std::cerr << "failed to setup operation #41" << std::endl; |
| 2176 | return ExecutionPlan(); |
| 2177 | } |
| 2178 | |
| 2179 | { |
| 2180 | const size_t a_shape[] = { 1, 14, 14, 96 }; |
| 2181 | const size_t b_shape[] = { 1, 14, 14, 96 }; |
| 2182 | status = xnn_setup_add_nd_qu8( |
| 2183 | op42, |
| 2184 | 4, a_shape, 4, b_shape, |
| 2185 | v42.data() /* a */, v39.data() /* b */, v43.data() /* output */, |
| 2186 | threadpool /* threadpool */); |
| 2187 | } |
| 2188 | if (status != xnn_status_success) { |
| 2189 | std::cerr << "failed to setup operation #42" << std::endl; |
| 2190 | return ExecutionPlan(); |
| 2191 | } |
| 2192 | |
| 2193 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 2194 | op43, |
| 2195 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2196 | v43.data() /* input */, v44.data() /* output */, |
| 2197 | threadpool /* threadpool */); |
| 2198 | if (status != xnn_status_success) { |
| 2199 | std::cerr << "failed to setup operation #43" << std::endl; |
| 2200 | return ExecutionPlan(); |
| 2201 | } |
| 2202 | |
| 2203 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 2204 | op44, |
| 2205 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2206 | v44.data() /* input */, v45.data() /* output */, |
| 2207 | threadpool /* threadpool */); |
| 2208 | if (status != xnn_status_success) { |
| 2209 | std::cerr << "failed to setup operation #44" << std::endl; |
| 2210 | return ExecutionPlan(); |
| 2211 | } |
| 2212 | |
| 2213 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 2214 | op45, |
| 2215 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2216 | v45.data() /* input */, v46.data() /* output */, |
| 2217 | threadpool /* threadpool */); |
| 2218 | if (status != xnn_status_success) { |
| 2219 | std::cerr << "failed to setup operation #45" << std::endl; |
| 2220 | return ExecutionPlan(); |
| 2221 | } |
| 2222 | |
| 2223 | { |
| 2224 | const size_t a_shape[] = { 1, 14, 14, 96 }; |
| 2225 | const size_t b_shape[] = { 1, 14, 14, 96 }; |
| 2226 | status = xnn_setup_add_nd_qu8( |
| 2227 | op46, |
| 2228 | 4, a_shape, 4, b_shape, |
| 2229 | v46.data() /* a */, v43.data() /* b */, v47.data() /* output */, |
| 2230 | threadpool /* threadpool */); |
| 2231 | } |
| 2232 | if (status != xnn_status_success) { |
| 2233 | std::cerr << "failed to setup operation #46" << std::endl; |
| 2234 | return ExecutionPlan(); |
| 2235 | } |
| 2236 | |
| 2237 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 2238 | op47, |
| 2239 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2240 | v47.data() /* input */, v48.data() /* output */, |
| 2241 | threadpool /* threadpool */); |
| 2242 | if (status != xnn_status_success) { |
| 2243 | std::cerr << "failed to setup operation #47" << std::endl; |
| 2244 | return ExecutionPlan(); |
| 2245 | } |
| 2246 | |
| 2247 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 2248 | op48, |
| 2249 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2250 | v48.data() /* input */, v49.data() /* output */, |
| 2251 | threadpool /* threadpool */); |
| 2252 | if (status != xnn_status_success) { |
| 2253 | std::cerr << "failed to setup operation #48" << std::endl; |
| 2254 | return ExecutionPlan(); |
| 2255 | } |
| 2256 | |
| 2257 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 2258 | op49, |
| 2259 | 1 /* batch size */, 7 /* input height */, 7 /* input width */, |
| 2260 | v49.data() /* input */, v50.data() /* output */, |
| 2261 | threadpool /* threadpool */); |
| 2262 | if (status != xnn_status_success) { |
| 2263 | std::cerr << "failed to setup operation #49" << std::endl; |
| 2264 | return ExecutionPlan(); |
| 2265 | } |
| 2266 | |
| 2267 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 2268 | op50, |
| 2269 | 1 /* batch size */, 7 /* input height */, 7 /* input width */, |
| 2270 | v50.data() /* input */, v51.data() /* output */, |
| 2271 | threadpool /* threadpool */); |
| 2272 | if (status != xnn_status_success) { |
| 2273 | std::cerr << "failed to setup operation #50" << std::endl; |
| 2274 | return ExecutionPlan(); |
| 2275 | } |
| 2276 | |
| 2277 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 2278 | op51, |
| 2279 | 1 /* batch size */, 7 /* input height */, 7 /* input width */, |
| 2280 | v51.data() /* input */, v52.data() /* output */, |
| 2281 | threadpool /* threadpool */); |
| 2282 | if (status != xnn_status_success) { |
| 2283 | std::cerr << "failed to setup operation #51" << std::endl; |
| 2284 | return ExecutionPlan(); |
| 2285 | } |
| 2286 | |
| 2287 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 2288 | op52, |
| 2289 | 1 /* batch size */, 7 /* input height */, 7 /* input width */, |
| 2290 | v52.data() /* input */, v53.data() /* output */, |
| 2291 | threadpool /* threadpool */); |
| 2292 | if (status != xnn_status_success) { |
| 2293 | std::cerr << "failed to setup operation #52" << std::endl; |
| 2294 | return ExecutionPlan(); |
| 2295 | } |
| 2296 | |
| 2297 | { |
| 2298 | const size_t a_shape[] = { 1, 7, 7, 160 }; |
| 2299 | const size_t b_shape[] = { 1, 7, 7, 160 }; |
| 2300 | status = xnn_setup_add_nd_qu8( |
| 2301 | op53, |
| 2302 | 4, a_shape, 4, b_shape, |
| 2303 | v53.data() /* a */, v50.data() /* b */, v54.data() /* output */, |
| 2304 | threadpool /* threadpool */); |
| 2305 | } |
| 2306 | if (status != xnn_status_success) { |
| 2307 | std::cerr << "failed to setup operation #53" << std::endl; |
| 2308 | return ExecutionPlan(); |
| 2309 | } |
| 2310 | |
| 2311 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 2312 | op54, |
| 2313 | 1 /* batch size */, 7 /* input height */, 7 /* input width */, |
| 2314 | v54.data() /* input */, v55.data() /* output */, |
| 2315 | threadpool /* threadpool */); |
| 2316 | if (status != xnn_status_success) { |
| 2317 | std::cerr << "failed to setup operation #54" << std::endl; |
| 2318 | return ExecutionPlan(); |
| 2319 | } |
| 2320 | |
| 2321 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 2322 | op55, |
| 2323 | 1 /* batch size */, 7 /* input height */, 7 /* input width */, |
| 2324 | v55.data() /* input */, v56.data() /* output */, |
| 2325 | threadpool /* threadpool */); |
| 2326 | if (status != xnn_status_success) { |
| 2327 | std::cerr << "failed to setup operation #55" << std::endl; |
| 2328 | return ExecutionPlan(); |
| 2329 | } |
| 2330 | |
| 2331 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 2332 | op56, |
| 2333 | 1 /* batch size */, 7 /* input height */, 7 /* input width */, |
| 2334 | v56.data() /* input */, v57.data() /* output */, |
| 2335 | threadpool /* threadpool */); |
| 2336 | if (status != xnn_status_success) { |
| 2337 | std::cerr << "failed to setup operation #56" << std::endl; |
| 2338 | return ExecutionPlan(); |
| 2339 | } |
| 2340 | |
| 2341 | { |
| 2342 | const size_t a_shape[] = { 1, 7, 7, 160 }; |
| 2343 | const size_t b_shape[] = { 1, 7, 7, 160 }; |
| 2344 | status = xnn_setup_add_nd_qu8( |
| 2345 | op57, |
| 2346 | 4, a_shape, 4, b_shape, |
| 2347 | v57.data() /* a */, v54.data() /* b */, v58.data() /* output */, |
| 2348 | threadpool /* threadpool */); |
| 2349 | } |
| 2350 | if (status != xnn_status_success) { |
| 2351 | std::cerr << "failed to setup operation #57" << std::endl; |
| 2352 | return ExecutionPlan(); |
| 2353 | } |
| 2354 | |
| 2355 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 2356 | op58, |
| 2357 | 1 /* batch size */, 7 /* input height */, 7 /* input width */, |
| 2358 | v58.data() /* input */, v59.data() /* output */, |
| 2359 | threadpool /* threadpool */); |
| 2360 | if (status != xnn_status_success) { |
| 2361 | std::cerr << "failed to setup operation #58" << std::endl; |
| 2362 | return ExecutionPlan(); |
| 2363 | } |
| 2364 | |
| 2365 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 2366 | op59, |
| 2367 | 1 /* batch size */, 7 /* input height */, 7 /* input width */, |
| 2368 | v59.data() /* input */, v60.data() /* output */, |
| 2369 | threadpool /* threadpool */); |
| 2370 | if (status != xnn_status_success) { |
| 2371 | std::cerr << "failed to setup operation #59" << std::endl; |
| 2372 | return ExecutionPlan(); |
| 2373 | } |
| 2374 | |
| 2375 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 2376 | op60, |
| 2377 | 1 /* batch size */, 7 /* input height */, 7 /* input width */, |
| 2378 | v60.data() /* input */, v61.data() /* output */, |
| 2379 | threadpool /* threadpool */); |
| 2380 | if (status != xnn_status_success) { |
| 2381 | std::cerr << "failed to setup operation #60" << std::endl; |
| 2382 | return ExecutionPlan(); |
| 2383 | } |
| 2384 | |
| 2385 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 2386 | op61, |
| 2387 | 1 /* batch size */, 7 /* input height */, 7 /* input width */, |
| 2388 | v61.data() /* input */, v62.data() /* output */, |
| 2389 | threadpool /* threadpool */); |
| 2390 | if (status != xnn_status_success) { |
| 2391 | std::cerr << "failed to setup operation #61" << std::endl; |
| 2392 | return ExecutionPlan(); |
| 2393 | } |
| 2394 | |
| 2395 | status = xnn_setup_global_average_pooling_nwc_qu8( |
| 2396 | op62, |
| 2397 | 1 /* batch size */, 49 /* width */, |
| 2398 | v62.data() /* input */, v63.data() /* output */, |
| 2399 | threadpool /* threadpool */); |
| 2400 | if (status != xnn_status_success) { |
| 2401 | std::cerr << "failed to setup operation #62" << std::endl; |
| 2402 | return ExecutionPlan(); |
| 2403 | } |
| 2404 | |
| 2405 | status = xnn_setup_convolution2d_nhwc_qu8( |
| 2406 | op63, |
| 2407 | 1 /* batch size */, 1 /* input height */, 1 /* input width */, |
| 2408 | v63.data() /* input */, v64.data() /* output */, |
| 2409 | threadpool /* threadpool */); |
| 2410 | if (status != xnn_status_success) { |
| 2411 | std::cerr << "failed to setup operation #63" << std::endl; |
| 2412 | return ExecutionPlan(); |
| 2413 | } |
| 2414 | |
| 2415 | #pragma clang diagnostic push |
| 2416 | #pragma clang diagnostic ignored "-Wpessimizing-move" |
| 2417 | return operators; |
| 2418 | #pragma clang diagnostic pop |
| 2419 | } |
| 2420 | |
| 2421 | } // namespace models |