Marat Dukhan | c068bb6 | 2019-10-04 13:24:39 -0700 | [diff] [blame] | 1 | // Copyright 2019 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 <algorithm> |
| 9 | #include <functional> |
| 10 | #include <iostream> |
| 11 | #include <limits> |
| 12 | #include <random> |
| 13 | |
| 14 | #include "models/models.h" |
| 15 | |
| 16 | namespace models { |
| 17 | |
| 18 | ExecutionPlan MobileNetV2(pthreadpool_t threadpool) { |
| 19 | alignas(16) static float v0[150528]; |
| 20 | alignas(16) static float v1[401408]; |
| 21 | alignas(16) static float v2[401408]; |
| 22 | alignas(16) static float v3[200704]; |
| 23 | alignas(16) static float v4[1204224]; |
| 24 | alignas(16) static float v5[301056]; |
| 25 | alignas(16) static float v6[75264]; |
| 26 | alignas(16) static float v7[451584]; |
| 27 | alignas(16) static float v8[451584]; |
| 28 | alignas(16) static float v9[75264]; |
| 29 | alignas(16) static float v10[75264]; |
| 30 | alignas(16) static float v11[451584]; |
| 31 | alignas(16) static float v12[112896]; |
| 32 | alignas(16) static float v13[25088]; |
| 33 | alignas(16) static float v14[150528]; |
| 34 | alignas(16) static float v15[150528]; |
| 35 | alignas(16) static float v16[25088]; |
| 36 | alignas(16) static float v17[25088]; |
| 37 | alignas(16) static float v18[150528]; |
| 38 | alignas(16) static float v19[150528]; |
| 39 | alignas(16) static float v20[25088]; |
| 40 | alignas(16) static float v21[25088]; |
| 41 | alignas(16) static float v22[150528]; |
| 42 | alignas(16) static float v23[37632]; |
| 43 | alignas(16) static float v24[12544]; |
| 44 | alignas(16) static float v25[75264]; |
| 45 | alignas(16) static float v26[75264]; |
| 46 | alignas(16) static float v27[12544]; |
| 47 | alignas(16) static float v28[12544]; |
| 48 | alignas(16) static float v29[75264]; |
| 49 | alignas(16) static float v30[75264]; |
| 50 | alignas(16) static float v31[12544]; |
| 51 | alignas(16) static float v32[12544]; |
| 52 | alignas(16) static float v33[75264]; |
| 53 | alignas(16) static float v34[75264]; |
| 54 | alignas(16) static float v35[12544]; |
| 55 | alignas(16) static float v36[12544]; |
| 56 | alignas(16) static float v37[75264]; |
| 57 | alignas(16) static float v38[75264]; |
| 58 | alignas(16) static float v39[18816]; |
| 59 | alignas(16) static float v40[112896]; |
| 60 | alignas(16) static float v41[112896]; |
| 61 | alignas(16) static float v42[18816]; |
| 62 | alignas(16) static float v43[18816]; |
| 63 | alignas(16) static float v44[112896]; |
| 64 | alignas(16) static float v45[112896]; |
| 65 | alignas(16) static float v46[18816]; |
| 66 | alignas(16) static float v47[18816]; |
| 67 | alignas(16) static float v48[112896]; |
| 68 | alignas(16) static float v49[28224]; |
| 69 | alignas(16) static float v50[7840]; |
| 70 | alignas(16) static float v51[47040]; |
| 71 | alignas(16) static float v52[47040]; |
| 72 | alignas(16) static float v53[7840]; |
| 73 | alignas(16) static float v54[7840]; |
| 74 | alignas(16) static float v55[47040]; |
| 75 | alignas(16) static float v56[47040]; |
| 76 | alignas(16) static float v57[7840]; |
| 77 | alignas(16) static float v58[7840]; |
| 78 | alignas(16) static float v59[47040]; |
| 79 | alignas(16) static float v60[47040]; |
| 80 | alignas(16) static float v61[15680]; |
| 81 | alignas(16) static float v62[62720]; |
| 82 | alignas(16) static float v63[1280]; |
| 83 | alignas(16) static float v64[1001]; |
| 84 | alignas(16) static float w65[864]; |
| 85 | alignas(16) static float w66[32]; |
| 86 | alignas(16) static float w67[288]; |
| 87 | alignas(16) static float w68[32]; |
| 88 | alignas(16) static float w69[512]; |
| 89 | alignas(16) static float w70[16]; |
| 90 | alignas(16) static float w71[1536]; |
| 91 | alignas(16) static float w72[96]; |
| 92 | alignas(16) static float w73[864]; |
| 93 | alignas(16) static float w74[96]; |
| 94 | alignas(16) static float w75[2304]; |
| 95 | alignas(16) static float w76[24]; |
| 96 | alignas(16) static float w77[3456]; |
| 97 | alignas(16) static float w78[144]; |
| 98 | alignas(16) static float w79[1296]; |
| 99 | alignas(16) static float w80[144]; |
| 100 | alignas(16) static float w81[3456]; |
| 101 | alignas(16) static float w82[24]; |
| 102 | alignas(16) static float w83[3456]; |
| 103 | alignas(16) static float w84[144]; |
| 104 | alignas(16) static float w85[1296]; |
| 105 | alignas(16) static float w86[144]; |
| 106 | alignas(16) static float w87[4608]; |
| 107 | alignas(16) static float w88[32]; |
| 108 | alignas(16) static float w89[6144]; |
| 109 | alignas(16) static float w90[192]; |
| 110 | alignas(16) static float w91[1728]; |
| 111 | alignas(16) static float w92[192]; |
| 112 | alignas(16) static float w93[6144]; |
| 113 | alignas(16) static float w94[32]; |
| 114 | alignas(16) static float w95[6144]; |
| 115 | alignas(16) static float w96[192]; |
| 116 | alignas(16) static float w97[1728]; |
| 117 | alignas(16) static float w98[192]; |
| 118 | alignas(16) static float w99[6144]; |
| 119 | alignas(16) static float w100[32]; |
| 120 | alignas(16) static float w101[6144]; |
| 121 | alignas(16) static float w102[192]; |
| 122 | alignas(16) static float w103[1728]; |
| 123 | alignas(16) static float w104[192]; |
| 124 | alignas(16) static float w105[12288]; |
| 125 | alignas(16) static float w106[64]; |
| 126 | alignas(16) static float w107[24576]; |
| 127 | alignas(16) static float w108[384]; |
| 128 | alignas(16) static float w109[3456]; |
| 129 | alignas(16) static float w110[384]; |
| 130 | alignas(16) static float w111[24576]; |
| 131 | alignas(16) static float w112[64]; |
| 132 | alignas(16) static float w113[24576]; |
| 133 | alignas(16) static float w114[384]; |
| 134 | alignas(16) static float w115[3456]; |
| 135 | alignas(16) static float w116[384]; |
| 136 | alignas(16) static float w117[24576]; |
| 137 | alignas(16) static float w118[64]; |
| 138 | alignas(16) static float w119[24576]; |
| 139 | alignas(16) static float w120[384]; |
| 140 | alignas(16) static float w121[3456]; |
| 141 | alignas(16) static float w122[384]; |
| 142 | alignas(16) static float w123[24576]; |
| 143 | alignas(16) static float w124[64]; |
| 144 | alignas(16) static float w125[24576]; |
| 145 | alignas(16) static float w126[384]; |
| 146 | alignas(16) static float w127[3456]; |
| 147 | alignas(16) static float w128[384]; |
| 148 | alignas(16) static float w129[36864]; |
| 149 | alignas(16) static float w130[96]; |
| 150 | alignas(16) static float w131[55296]; |
| 151 | alignas(16) static float w132[576]; |
| 152 | alignas(16) static float w133[5184]; |
| 153 | alignas(16) static float w134[576]; |
| 154 | alignas(16) static float w135[55296]; |
| 155 | alignas(16) static float w136[96]; |
| 156 | alignas(16) static float w137[55296]; |
| 157 | alignas(16) static float w138[576]; |
| 158 | alignas(16) static float w139[5184]; |
| 159 | alignas(16) static float w140[576]; |
| 160 | alignas(16) static float w141[55296]; |
| 161 | alignas(16) static float w142[96]; |
| 162 | alignas(16) static float w143[55296]; |
| 163 | alignas(16) static float w144[576]; |
| 164 | alignas(16) static float w145[5184]; |
| 165 | alignas(16) static float w146[576]; |
| 166 | alignas(16) static float w147[92160]; |
| 167 | alignas(16) static float w148[160]; |
| 168 | alignas(16) static float w149[153600]; |
| 169 | alignas(16) static float w150[960]; |
| 170 | alignas(16) static float w151[8640]; |
| 171 | alignas(16) static float w152[960]; |
| 172 | alignas(16) static float w153[153600]; |
| 173 | alignas(16) static float w154[160]; |
| 174 | alignas(16) static float w155[153600]; |
| 175 | alignas(16) static float w156[960]; |
| 176 | alignas(16) static float w157[8640]; |
| 177 | alignas(16) static float w158[960]; |
| 178 | alignas(16) static float w159[153600]; |
| 179 | alignas(16) static float w160[160]; |
| 180 | alignas(16) static float w161[153600]; |
| 181 | alignas(16) static float w162[960]; |
| 182 | alignas(16) static float w163[8640]; |
| 183 | alignas(16) static float w164[960]; |
| 184 | alignas(16) static float w165[307200]; |
| 185 | alignas(16) static float w166[320]; |
| 186 | alignas(16) static float w167[409600]; |
| 187 | alignas(16) static float w168[1280]; |
| 188 | alignas(16) static float w169[1281280]; |
| 189 | alignas(16) static float w170[1001]; |
| 190 | |
| 191 | std::random_device random_device; |
| 192 | auto rng = std::mt19937(random_device()); |
| 193 | auto f32rng = std::bind(std::uniform_real_distribution<float>(-1.0f, +1.0f), rng); |
| 194 | std::generate(v0, v0 + 150528, std::ref(f32rng)); |
| 195 | std::generate(w65, w65 + 864, std::ref(f32rng)); |
| 196 | std::generate(w66, w66 + 32, std::ref(f32rng)); |
| 197 | std::generate(w67, w67 + 288, std::ref(f32rng)); |
| 198 | std::generate(w68, w68 + 32, std::ref(f32rng)); |
| 199 | std::generate(w69, w69 + 512, std::ref(f32rng)); |
| 200 | std::generate(w70, w70 + 16, std::ref(f32rng)); |
| 201 | std::generate(w71, w71 + 1536, std::ref(f32rng)); |
| 202 | std::generate(w72, w72 + 96, std::ref(f32rng)); |
| 203 | std::generate(w73, w73 + 864, std::ref(f32rng)); |
| 204 | std::generate(w74, w74 + 96, std::ref(f32rng)); |
| 205 | std::generate(w75, w75 + 2304, std::ref(f32rng)); |
| 206 | std::generate(w76, w76 + 24, std::ref(f32rng)); |
| 207 | std::generate(w77, w77 + 3456, std::ref(f32rng)); |
| 208 | std::generate(w78, w78 + 144, std::ref(f32rng)); |
| 209 | std::generate(w79, w79 + 1296, std::ref(f32rng)); |
| 210 | std::generate(w80, w80 + 144, std::ref(f32rng)); |
| 211 | std::generate(w81, w81 + 3456, std::ref(f32rng)); |
| 212 | std::generate(w82, w82 + 24, std::ref(f32rng)); |
| 213 | std::generate(w83, w83 + 3456, std::ref(f32rng)); |
| 214 | std::generate(w84, w84 + 144, std::ref(f32rng)); |
| 215 | std::generate(w85, w85 + 1296, std::ref(f32rng)); |
| 216 | std::generate(w86, w86 + 144, std::ref(f32rng)); |
| 217 | std::generate(w87, w87 + 4608, std::ref(f32rng)); |
| 218 | std::generate(w88, w88 + 32, std::ref(f32rng)); |
| 219 | std::generate(w89, w89 + 6144, std::ref(f32rng)); |
| 220 | std::generate(w90, w90 + 192, std::ref(f32rng)); |
| 221 | std::generate(w91, w91 + 1728, std::ref(f32rng)); |
| 222 | std::generate(w92, w92 + 192, std::ref(f32rng)); |
| 223 | std::generate(w93, w93 + 6144, std::ref(f32rng)); |
| 224 | std::generate(w94, w94 + 32, std::ref(f32rng)); |
| 225 | std::generate(w95, w95 + 6144, std::ref(f32rng)); |
| 226 | std::generate(w96, w96 + 192, std::ref(f32rng)); |
| 227 | std::generate(w97, w97 + 1728, std::ref(f32rng)); |
| 228 | std::generate(w98, w98 + 192, std::ref(f32rng)); |
| 229 | std::generate(w99, w99 + 6144, std::ref(f32rng)); |
| 230 | std::generate(w100, w100 + 32, std::ref(f32rng)); |
| 231 | std::generate(w101, w101 + 6144, std::ref(f32rng)); |
| 232 | std::generate(w102, w102 + 192, std::ref(f32rng)); |
| 233 | std::generate(w103, w103 + 1728, std::ref(f32rng)); |
| 234 | std::generate(w104, w104 + 192, std::ref(f32rng)); |
| 235 | std::generate(w105, w105 + 12288, std::ref(f32rng)); |
| 236 | std::generate(w106, w106 + 64, std::ref(f32rng)); |
| 237 | std::generate(w107, w107 + 24576, std::ref(f32rng)); |
| 238 | std::generate(w108, w108 + 384, std::ref(f32rng)); |
| 239 | std::generate(w109, w109 + 3456, std::ref(f32rng)); |
| 240 | std::generate(w110, w110 + 384, std::ref(f32rng)); |
| 241 | std::generate(w111, w111 + 24576, std::ref(f32rng)); |
| 242 | std::generate(w112, w112 + 64, std::ref(f32rng)); |
| 243 | std::generate(w113, w113 + 24576, std::ref(f32rng)); |
| 244 | std::generate(w114, w114 + 384, std::ref(f32rng)); |
| 245 | std::generate(w115, w115 + 3456, std::ref(f32rng)); |
| 246 | std::generate(w116, w116 + 384, std::ref(f32rng)); |
| 247 | std::generate(w117, w117 + 24576, std::ref(f32rng)); |
| 248 | std::generate(w118, w118 + 64, std::ref(f32rng)); |
| 249 | std::generate(w119, w119 + 24576, std::ref(f32rng)); |
| 250 | std::generate(w120, w120 + 384, std::ref(f32rng)); |
| 251 | std::generate(w121, w121 + 3456, std::ref(f32rng)); |
| 252 | std::generate(w122, w122 + 384, std::ref(f32rng)); |
| 253 | std::generate(w123, w123 + 24576, std::ref(f32rng)); |
| 254 | std::generate(w124, w124 + 64, std::ref(f32rng)); |
| 255 | std::generate(w125, w125 + 24576, std::ref(f32rng)); |
| 256 | std::generate(w126, w126 + 384, std::ref(f32rng)); |
| 257 | std::generate(w127, w127 + 3456, std::ref(f32rng)); |
| 258 | std::generate(w128, w128 + 384, std::ref(f32rng)); |
| 259 | std::generate(w129, w129 + 36864, std::ref(f32rng)); |
| 260 | std::generate(w130, w130 + 96, std::ref(f32rng)); |
| 261 | std::generate(w131, w131 + 55296, std::ref(f32rng)); |
| 262 | std::generate(w132, w132 + 576, std::ref(f32rng)); |
| 263 | std::generate(w133, w133 + 5184, std::ref(f32rng)); |
| 264 | std::generate(w134, w134 + 576, std::ref(f32rng)); |
| 265 | std::generate(w135, w135 + 55296, std::ref(f32rng)); |
| 266 | std::generate(w136, w136 + 96, std::ref(f32rng)); |
| 267 | std::generate(w137, w137 + 55296, std::ref(f32rng)); |
| 268 | std::generate(w138, w138 + 576, std::ref(f32rng)); |
| 269 | std::generate(w139, w139 + 5184, std::ref(f32rng)); |
| 270 | std::generate(w140, w140 + 576, std::ref(f32rng)); |
| 271 | std::generate(w141, w141 + 55296, std::ref(f32rng)); |
| 272 | std::generate(w142, w142 + 96, std::ref(f32rng)); |
| 273 | std::generate(w143, w143 + 55296, std::ref(f32rng)); |
| 274 | std::generate(w144, w144 + 576, std::ref(f32rng)); |
| 275 | std::generate(w145, w145 + 5184, std::ref(f32rng)); |
| 276 | std::generate(w146, w146 + 576, std::ref(f32rng)); |
| 277 | std::generate(w147, w147 + 92160, std::ref(f32rng)); |
| 278 | std::generate(w148, w148 + 160, std::ref(f32rng)); |
| 279 | std::generate(w149, w149 + 153600, std::ref(f32rng)); |
| 280 | std::generate(w150, w150 + 960, std::ref(f32rng)); |
| 281 | std::generate(w151, w151 + 8640, std::ref(f32rng)); |
| 282 | std::generate(w152, w152 + 960, std::ref(f32rng)); |
| 283 | std::generate(w153, w153 + 153600, std::ref(f32rng)); |
| 284 | std::generate(w154, w154 + 160, std::ref(f32rng)); |
| 285 | std::generate(w155, w155 + 153600, std::ref(f32rng)); |
| 286 | std::generate(w156, w156 + 960, std::ref(f32rng)); |
| 287 | std::generate(w157, w157 + 8640, std::ref(f32rng)); |
| 288 | std::generate(w158, w158 + 960, std::ref(f32rng)); |
| 289 | std::generate(w159, w159 + 153600, std::ref(f32rng)); |
| 290 | std::generate(w160, w160 + 160, std::ref(f32rng)); |
| 291 | std::generate(w161, w161 + 153600, std::ref(f32rng)); |
| 292 | std::generate(w162, w162 + 960, std::ref(f32rng)); |
| 293 | std::generate(w163, w163 + 8640, std::ref(f32rng)); |
| 294 | std::generate(w164, w164 + 960, std::ref(f32rng)); |
| 295 | std::generate(w165, w165 + 307200, std::ref(f32rng)); |
| 296 | std::generate(w166, w166 + 320, std::ref(f32rng)); |
| 297 | std::generate(w167, w167 + 409600, std::ref(f32rng)); |
| 298 | std::generate(w168, w168 + 1280, std::ref(f32rng)); |
| 299 | std::generate(w169, w169 + 1281280, std::ref(f32rng)); |
| 300 | std::generate(w170, w170 + 1001, std::ref(f32rng)); |
| 301 | |
| 302 | ExecutionPlan operators; |
| 303 | xnn_status status; |
| 304 | |
| 305 | xnn_operator_t op0 = nullptr; |
| 306 | status = xnn_create_convolution2d_nhwc_f32( |
| 307 | 0 /* top padding */, 1 /* right padding */, |
| 308 | 1 /* bottom padding */, 0 /* left padding */, |
| 309 | 3 /* kernel height */, 3 /* kernel width */, |
| 310 | 2 /* subsampling height */, 2 /* subsampling width */, |
| 311 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 312 | 1 /* groups */, |
| 313 | 3 /* input channels per group */, |
| 314 | 32 /* output_channels_per_group */, |
| 315 | 3 /* input pixel stride */, |
| 316 | 32 /* output pixel stride */, |
| 317 | w65, w66, |
| 318 | 0.0f /* output min */, 6.0f /* output max */, |
| 319 | 0 /* flags */, |
| 320 | &op0); |
| 321 | if (status != xnn_status_success) { |
| 322 | std::cerr << "failed to create operation #0" << std::endl; |
| 323 | return ExecutionPlan(); |
| 324 | } |
| 325 | operators.emplace_back(op0, xnn_delete_operator); |
| 326 | |
| 327 | xnn_operator_t op1 = nullptr; |
| 328 | status = xnn_create_convolution2d_nhwc_f32( |
| 329 | 1 /* top padding */, 1 /* right padding */, |
| 330 | 1 /* bottom padding */, 1 /* left padding */, |
| 331 | 3 /* kernel height */, 3 /* kernel width */, |
| 332 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 333 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 334 | 32 /* groups */, |
| 335 | 1 /* input channels per group */, |
| 336 | 1 /* output_channels_per_group */, |
| 337 | 32 /* input pixel stride */, |
| 338 | 32 /* output pixel stride */, |
| 339 | w67, w68, |
| 340 | 0.0f /* output min */, 6.0f /* output max */, |
| 341 | 0 /* flags */, |
| 342 | &op1); |
| 343 | if (status != xnn_status_success) { |
| 344 | std::cerr << "failed to create operation #1" << std::endl; |
| 345 | return ExecutionPlan(); |
| 346 | } |
| 347 | operators.emplace_back(op1, xnn_delete_operator); |
| 348 | |
| 349 | xnn_operator_t op2 = nullptr; |
| 350 | status = xnn_create_convolution2d_nhwc_f32( |
| 351 | 0 /* top padding */, 0 /* right padding */, |
| 352 | 0 /* bottom padding */, 0 /* left padding */, |
| 353 | 1 /* kernel height */, 1 /* kernel width */, |
| 354 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 355 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 356 | 1 /* groups */, |
| 357 | 32 /* input channels per group */, |
| 358 | 16 /* output_channels_per_group */, |
| 359 | 32 /* input pixel stride */, |
| 360 | 16 /* output pixel stride */, |
| 361 | w69, w70, |
| 362 | -std::numeric_limits<float>::infinity() /* output min */, std::numeric_limits<float>::infinity() /* output max */, |
| 363 | 0 /* flags */, |
| 364 | &op2); |
| 365 | if (status != xnn_status_success) { |
| 366 | std::cerr << "failed to create operation #2" << std::endl; |
| 367 | return ExecutionPlan(); |
| 368 | } |
| 369 | operators.emplace_back(op2, xnn_delete_operator); |
| 370 | |
| 371 | xnn_operator_t op3 = nullptr; |
| 372 | status = xnn_create_convolution2d_nhwc_f32( |
| 373 | 0 /* top padding */, 0 /* right padding */, |
| 374 | 0 /* bottom padding */, 0 /* left padding */, |
| 375 | 1 /* kernel height */, 1 /* kernel width */, |
| 376 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 377 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 378 | 1 /* groups */, |
| 379 | 16 /* input channels per group */, |
| 380 | 96 /* output_channels_per_group */, |
| 381 | 16 /* input pixel stride */, |
| 382 | 96 /* output pixel stride */, |
| 383 | w71, w72, |
| 384 | 0.0f /* output min */, 6.0f /* output max */, |
| 385 | 0 /* flags */, |
| 386 | &op3); |
| 387 | if (status != xnn_status_success) { |
| 388 | std::cerr << "failed to create operation #3" << std::endl; |
| 389 | return ExecutionPlan(); |
| 390 | } |
| 391 | operators.emplace_back(op3, xnn_delete_operator); |
| 392 | |
| 393 | xnn_operator_t op4 = nullptr; |
| 394 | status = xnn_create_convolution2d_nhwc_f32( |
| 395 | 0 /* top padding */, 1 /* right padding */, |
| 396 | 1 /* bottom padding */, 0 /* left padding */, |
| 397 | 3 /* kernel height */, 3 /* kernel width */, |
| 398 | 2 /* subsampling height */, 2 /* subsampling width */, |
| 399 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 400 | 96 /* groups */, |
| 401 | 1 /* input channels per group */, |
| 402 | 1 /* output_channels_per_group */, |
| 403 | 96 /* input pixel stride */, |
| 404 | 96 /* output pixel stride */, |
| 405 | w73, w74, |
| 406 | 0.0f /* output min */, 6.0f /* output max */, |
| 407 | 0 /* flags */, |
| 408 | &op4); |
| 409 | if (status != xnn_status_success) { |
| 410 | std::cerr << "failed to create operation #4" << std::endl; |
| 411 | return ExecutionPlan(); |
| 412 | } |
| 413 | operators.emplace_back(op4, xnn_delete_operator); |
| 414 | |
| 415 | xnn_operator_t op5 = nullptr; |
| 416 | status = xnn_create_convolution2d_nhwc_f32( |
| 417 | 0 /* top padding */, 0 /* right padding */, |
| 418 | 0 /* bottom padding */, 0 /* left padding */, |
| 419 | 1 /* kernel height */, 1 /* kernel width */, |
| 420 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 421 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 422 | 1 /* groups */, |
| 423 | 96 /* input channels per group */, |
| 424 | 24 /* output_channels_per_group */, |
| 425 | 96 /* input pixel stride */, |
| 426 | 24 /* output pixel stride */, |
| 427 | w75, w76, |
| 428 | -std::numeric_limits<float>::infinity() /* output min */, std::numeric_limits<float>::infinity() /* output max */, |
| 429 | 0 /* flags */, |
| 430 | &op5); |
| 431 | if (status != xnn_status_success) { |
| 432 | std::cerr << "failed to create operation #5" << std::endl; |
| 433 | return ExecutionPlan(); |
| 434 | } |
| 435 | operators.emplace_back(op5, xnn_delete_operator); |
| 436 | |
| 437 | xnn_operator_t op6 = nullptr; |
| 438 | status = xnn_create_convolution2d_nhwc_f32( |
| 439 | 0 /* top padding */, 0 /* right padding */, |
| 440 | 0 /* bottom padding */, 0 /* left padding */, |
| 441 | 1 /* kernel height */, 1 /* kernel width */, |
| 442 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 443 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 444 | 1 /* groups */, |
| 445 | 24 /* input channels per group */, |
| 446 | 144 /* output_channels_per_group */, |
| 447 | 24 /* input pixel stride */, |
| 448 | 144 /* output pixel stride */, |
| 449 | w77, w78, |
| 450 | 0.0f /* output min */, 6.0f /* output max */, |
| 451 | 0 /* flags */, |
| 452 | &op6); |
| 453 | if (status != xnn_status_success) { |
| 454 | std::cerr << "failed to create operation #6" << std::endl; |
| 455 | return ExecutionPlan(); |
| 456 | } |
| 457 | operators.emplace_back(op6, xnn_delete_operator); |
| 458 | |
| 459 | xnn_operator_t op7 = nullptr; |
| 460 | status = xnn_create_convolution2d_nhwc_f32( |
| 461 | 1 /* top padding */, 1 /* right padding */, |
| 462 | 1 /* bottom padding */, 1 /* left padding */, |
| 463 | 3 /* kernel height */, 3 /* kernel width */, |
| 464 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 465 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 466 | 144 /* groups */, |
| 467 | 1 /* input channels per group */, |
| 468 | 1 /* output_channels_per_group */, |
| 469 | 144 /* input pixel stride */, |
| 470 | 144 /* output pixel stride */, |
| 471 | w79, w80, |
| 472 | 0.0f /* output min */, 6.0f /* output max */, |
| 473 | 0 /* flags */, |
| 474 | &op7); |
| 475 | if (status != xnn_status_success) { |
| 476 | std::cerr << "failed to create operation #7" << std::endl; |
| 477 | return ExecutionPlan(); |
| 478 | } |
| 479 | operators.emplace_back(op7, xnn_delete_operator); |
| 480 | |
| 481 | xnn_operator_t op8 = nullptr; |
| 482 | status = xnn_create_convolution2d_nhwc_f32( |
| 483 | 0 /* top padding */, 0 /* right padding */, |
| 484 | 0 /* bottom padding */, 0 /* left padding */, |
| 485 | 1 /* kernel height */, 1 /* kernel width */, |
| 486 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 487 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 488 | 1 /* groups */, |
| 489 | 144 /* input channels per group */, |
| 490 | 24 /* output_channels_per_group */, |
| 491 | 144 /* input pixel stride */, |
| 492 | 24 /* output pixel stride */, |
| 493 | w81, w82, |
| 494 | -std::numeric_limits<float>::infinity() /* output min */, std::numeric_limits<float>::infinity() /* output max */, |
| 495 | 0 /* flags */, |
| 496 | &op8); |
| 497 | if (status != xnn_status_success) { |
| 498 | std::cerr << "failed to create operation #8" << std::endl; |
| 499 | return ExecutionPlan(); |
| 500 | } |
| 501 | operators.emplace_back(op8, xnn_delete_operator); |
| 502 | |
| 503 | xnn_operator_t op9 = nullptr; |
| 504 | status = xnn_create_add_nc_f32( |
| 505 | 24 /* channels */, |
| 506 | 24 /* a stride */, |
| 507 | 24 /* b stride */, |
| 508 | 24 /* c stride */, |
| 509 | -std::numeric_limits<float>::infinity() /* output min */, std::numeric_limits<float>::infinity() /* output max */, |
| 510 | 0 /* flags */, |
| 511 | &op9); |
| 512 | if (status != xnn_status_success) { |
| 513 | std::cerr << "failed to create operation #9" << std::endl; |
| 514 | return ExecutionPlan(); |
| 515 | } |
| 516 | operators.emplace_back(op9, xnn_delete_operator); |
| 517 | |
| 518 | xnn_operator_t op10 = nullptr; |
| 519 | status = xnn_create_convolution2d_nhwc_f32( |
| 520 | 0 /* top padding */, 0 /* right padding */, |
| 521 | 0 /* bottom padding */, 0 /* left padding */, |
| 522 | 1 /* kernel height */, 1 /* kernel width */, |
| 523 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 524 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 525 | 1 /* groups */, |
| 526 | 24 /* input channels per group */, |
| 527 | 144 /* output_channels_per_group */, |
| 528 | 24 /* input pixel stride */, |
| 529 | 144 /* output pixel stride */, |
| 530 | w83, w84, |
| 531 | 0.0f /* output min */, 6.0f /* output max */, |
| 532 | 0 /* flags */, |
| 533 | &op10); |
| 534 | if (status != xnn_status_success) { |
| 535 | std::cerr << "failed to create operation #10" << std::endl; |
| 536 | return ExecutionPlan(); |
| 537 | } |
| 538 | operators.emplace_back(op10, xnn_delete_operator); |
| 539 | |
| 540 | xnn_operator_t op11 = nullptr; |
| 541 | status = xnn_create_convolution2d_nhwc_f32( |
| 542 | 0 /* top padding */, 1 /* right padding */, |
| 543 | 1 /* bottom padding */, 0 /* left padding */, |
| 544 | 3 /* kernel height */, 3 /* kernel width */, |
| 545 | 2 /* subsampling height */, 2 /* subsampling width */, |
| 546 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 547 | 144 /* groups */, |
| 548 | 1 /* input channels per group */, |
| 549 | 1 /* output_channels_per_group */, |
| 550 | 144 /* input pixel stride */, |
| 551 | 144 /* output pixel stride */, |
| 552 | w85, w86, |
| 553 | 0.0f /* output min */, 6.0f /* output max */, |
| 554 | 0 /* flags */, |
| 555 | &op11); |
| 556 | if (status != xnn_status_success) { |
| 557 | std::cerr << "failed to create operation #11" << std::endl; |
| 558 | return ExecutionPlan(); |
| 559 | } |
| 560 | operators.emplace_back(op11, xnn_delete_operator); |
| 561 | |
| 562 | xnn_operator_t op12 = nullptr; |
| 563 | status = xnn_create_convolution2d_nhwc_f32( |
| 564 | 0 /* top padding */, 0 /* right padding */, |
| 565 | 0 /* bottom padding */, 0 /* left padding */, |
| 566 | 1 /* kernel height */, 1 /* kernel width */, |
| 567 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 568 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 569 | 1 /* groups */, |
| 570 | 144 /* input channels per group */, |
| 571 | 32 /* output_channels_per_group */, |
| 572 | 144 /* input pixel stride */, |
| 573 | 32 /* output pixel stride */, |
| 574 | w87, w88, |
| 575 | -std::numeric_limits<float>::infinity() /* output min */, std::numeric_limits<float>::infinity() /* output max */, |
| 576 | 0 /* flags */, |
| 577 | &op12); |
| 578 | if (status != xnn_status_success) { |
| 579 | std::cerr << "failed to create operation #12" << std::endl; |
| 580 | return ExecutionPlan(); |
| 581 | } |
| 582 | operators.emplace_back(op12, xnn_delete_operator); |
| 583 | |
| 584 | xnn_operator_t op13 = nullptr; |
| 585 | status = xnn_create_convolution2d_nhwc_f32( |
| 586 | 0 /* top padding */, 0 /* right padding */, |
| 587 | 0 /* bottom padding */, 0 /* left padding */, |
| 588 | 1 /* kernel height */, 1 /* kernel width */, |
| 589 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 590 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 591 | 1 /* groups */, |
| 592 | 32 /* input channels per group */, |
| 593 | 192 /* output_channels_per_group */, |
| 594 | 32 /* input pixel stride */, |
| 595 | 192 /* output pixel stride */, |
| 596 | w89, w90, |
| 597 | 0.0f /* output min */, 6.0f /* output max */, |
| 598 | 0 /* flags */, |
| 599 | &op13); |
| 600 | if (status != xnn_status_success) { |
| 601 | std::cerr << "failed to create operation #13" << std::endl; |
| 602 | return ExecutionPlan(); |
| 603 | } |
| 604 | operators.emplace_back(op13, xnn_delete_operator); |
| 605 | |
| 606 | xnn_operator_t op14 = nullptr; |
| 607 | status = xnn_create_convolution2d_nhwc_f32( |
| 608 | 1 /* top padding */, 1 /* right padding */, |
| 609 | 1 /* bottom padding */, 1 /* left padding */, |
| 610 | 3 /* kernel height */, 3 /* kernel width */, |
| 611 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 612 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 613 | 192 /* groups */, |
| 614 | 1 /* input channels per group */, |
| 615 | 1 /* output_channels_per_group */, |
| 616 | 192 /* input pixel stride */, |
| 617 | 192 /* output pixel stride */, |
| 618 | w91, w92, |
| 619 | 0.0f /* output min */, 6.0f /* output max */, |
| 620 | 0 /* flags */, |
| 621 | &op14); |
| 622 | if (status != xnn_status_success) { |
| 623 | std::cerr << "failed to create operation #14" << std::endl; |
| 624 | return ExecutionPlan(); |
| 625 | } |
| 626 | operators.emplace_back(op14, xnn_delete_operator); |
| 627 | |
| 628 | xnn_operator_t op15 = nullptr; |
| 629 | status = xnn_create_convolution2d_nhwc_f32( |
| 630 | 0 /* top padding */, 0 /* right padding */, |
| 631 | 0 /* bottom padding */, 0 /* left padding */, |
| 632 | 1 /* kernel height */, 1 /* kernel width */, |
| 633 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 634 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 635 | 1 /* groups */, |
| 636 | 192 /* input channels per group */, |
| 637 | 32 /* output_channels_per_group */, |
| 638 | 192 /* input pixel stride */, |
| 639 | 32 /* output pixel stride */, |
| 640 | w93, w94, |
| 641 | -std::numeric_limits<float>::infinity() /* output min */, std::numeric_limits<float>::infinity() /* output max */, |
| 642 | 0 /* flags */, |
| 643 | &op15); |
| 644 | if (status != xnn_status_success) { |
| 645 | std::cerr << "failed to create operation #15" << std::endl; |
| 646 | return ExecutionPlan(); |
| 647 | } |
| 648 | operators.emplace_back(op15, xnn_delete_operator); |
| 649 | |
| 650 | xnn_operator_t op16 = nullptr; |
| 651 | status = xnn_create_add_nc_f32( |
| 652 | 32 /* channels */, |
| 653 | 32 /* a stride */, |
| 654 | 32 /* b stride */, |
| 655 | 32 /* c stride */, |
| 656 | -std::numeric_limits<float>::infinity() /* output min */, std::numeric_limits<float>::infinity() /* output max */, |
| 657 | 0 /* flags */, |
| 658 | &op16); |
| 659 | if (status != xnn_status_success) { |
| 660 | std::cerr << "failed to create operation #16" << std::endl; |
| 661 | return ExecutionPlan(); |
| 662 | } |
| 663 | operators.emplace_back(op16, xnn_delete_operator); |
| 664 | |
| 665 | xnn_operator_t op17 = nullptr; |
| 666 | status = xnn_create_convolution2d_nhwc_f32( |
| 667 | 0 /* top padding */, 0 /* right padding */, |
| 668 | 0 /* bottom padding */, 0 /* left padding */, |
| 669 | 1 /* kernel height */, 1 /* kernel width */, |
| 670 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 671 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 672 | 1 /* groups */, |
| 673 | 32 /* input channels per group */, |
| 674 | 192 /* output_channels_per_group */, |
| 675 | 32 /* input pixel stride */, |
| 676 | 192 /* output pixel stride */, |
| 677 | w95, w96, |
| 678 | 0.0f /* output min */, 6.0f /* output max */, |
| 679 | 0 /* flags */, |
| 680 | &op17); |
| 681 | if (status != xnn_status_success) { |
| 682 | std::cerr << "failed to create operation #17" << std::endl; |
| 683 | return ExecutionPlan(); |
| 684 | } |
| 685 | operators.emplace_back(op17, xnn_delete_operator); |
| 686 | |
| 687 | xnn_operator_t op18 = nullptr; |
| 688 | status = xnn_create_convolution2d_nhwc_f32( |
| 689 | 1 /* top padding */, 1 /* right padding */, |
| 690 | 1 /* bottom padding */, 1 /* left padding */, |
| 691 | 3 /* kernel height */, 3 /* kernel width */, |
| 692 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 693 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 694 | 192 /* groups */, |
| 695 | 1 /* input channels per group */, |
| 696 | 1 /* output_channels_per_group */, |
| 697 | 192 /* input pixel stride */, |
| 698 | 192 /* output pixel stride */, |
| 699 | w97, w98, |
| 700 | 0.0f /* output min */, 6.0f /* output max */, |
| 701 | 0 /* flags */, |
| 702 | &op18); |
| 703 | if (status != xnn_status_success) { |
| 704 | std::cerr << "failed to create operation #18" << std::endl; |
| 705 | return ExecutionPlan(); |
| 706 | } |
| 707 | operators.emplace_back(op18, xnn_delete_operator); |
| 708 | |
| 709 | xnn_operator_t op19 = nullptr; |
| 710 | status = xnn_create_convolution2d_nhwc_f32( |
| 711 | 0 /* top padding */, 0 /* right padding */, |
| 712 | 0 /* bottom padding */, 0 /* left padding */, |
| 713 | 1 /* kernel height */, 1 /* kernel width */, |
| 714 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 715 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 716 | 1 /* groups */, |
| 717 | 192 /* input channels per group */, |
| 718 | 32 /* output_channels_per_group */, |
| 719 | 192 /* input pixel stride */, |
| 720 | 32 /* output pixel stride */, |
| 721 | w99, w100, |
| 722 | -std::numeric_limits<float>::infinity() /* output min */, std::numeric_limits<float>::infinity() /* output max */, |
| 723 | 0 /* flags */, |
| 724 | &op19); |
| 725 | if (status != xnn_status_success) { |
| 726 | std::cerr << "failed to create operation #19" << std::endl; |
| 727 | return ExecutionPlan(); |
| 728 | } |
| 729 | operators.emplace_back(op19, xnn_delete_operator); |
| 730 | |
| 731 | xnn_operator_t op20 = nullptr; |
| 732 | status = xnn_create_add_nc_f32( |
| 733 | 32 /* channels */, |
| 734 | 32 /* a stride */, |
| 735 | 32 /* b stride */, |
| 736 | 32 /* c stride */, |
| 737 | -std::numeric_limits<float>::infinity() /* output min */, std::numeric_limits<float>::infinity() /* output max */, |
| 738 | 0 /* flags */, |
| 739 | &op20); |
| 740 | if (status != xnn_status_success) { |
| 741 | std::cerr << "failed to create operation #20" << std::endl; |
| 742 | return ExecutionPlan(); |
| 743 | } |
| 744 | operators.emplace_back(op20, xnn_delete_operator); |
| 745 | |
| 746 | xnn_operator_t op21 = nullptr; |
| 747 | status = xnn_create_convolution2d_nhwc_f32( |
| 748 | 0 /* top padding */, 0 /* right padding */, |
| 749 | 0 /* bottom padding */, 0 /* left padding */, |
| 750 | 1 /* kernel height */, 1 /* kernel width */, |
| 751 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 752 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 753 | 1 /* groups */, |
| 754 | 32 /* input channels per group */, |
| 755 | 192 /* output_channels_per_group */, |
| 756 | 32 /* input pixel stride */, |
| 757 | 192 /* output pixel stride */, |
| 758 | w101, w102, |
| 759 | 0.0f /* output min */, 6.0f /* output max */, |
| 760 | 0 /* flags */, |
| 761 | &op21); |
| 762 | if (status != xnn_status_success) { |
| 763 | std::cerr << "failed to create operation #21" << std::endl; |
| 764 | return ExecutionPlan(); |
| 765 | } |
| 766 | operators.emplace_back(op21, xnn_delete_operator); |
| 767 | |
| 768 | xnn_operator_t op22 = nullptr; |
| 769 | status = xnn_create_convolution2d_nhwc_f32( |
| 770 | 0 /* top padding */, 1 /* right padding */, |
| 771 | 1 /* bottom padding */, 0 /* left padding */, |
| 772 | 3 /* kernel height */, 3 /* kernel width */, |
| 773 | 2 /* subsampling height */, 2 /* subsampling width */, |
| 774 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 775 | 192 /* groups */, |
| 776 | 1 /* input channels per group */, |
| 777 | 1 /* output_channels_per_group */, |
| 778 | 192 /* input pixel stride */, |
| 779 | 192 /* output pixel stride */, |
| 780 | w103, w104, |
| 781 | 0.0f /* output min */, 6.0f /* output max */, |
| 782 | 0 /* flags */, |
| 783 | &op22); |
| 784 | if (status != xnn_status_success) { |
| 785 | std::cerr << "failed to create operation #22" << std::endl; |
| 786 | return ExecutionPlan(); |
| 787 | } |
| 788 | operators.emplace_back(op22, xnn_delete_operator); |
| 789 | |
| 790 | xnn_operator_t op23 = nullptr; |
| 791 | status = xnn_create_convolution2d_nhwc_f32( |
| 792 | 0 /* top padding */, 0 /* right padding */, |
| 793 | 0 /* bottom padding */, 0 /* left padding */, |
| 794 | 1 /* kernel height */, 1 /* kernel width */, |
| 795 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 796 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 797 | 1 /* groups */, |
| 798 | 192 /* input channels per group */, |
| 799 | 64 /* output_channels_per_group */, |
| 800 | 192 /* input pixel stride */, |
| 801 | 64 /* output pixel stride */, |
| 802 | w105, w106, |
| 803 | -std::numeric_limits<float>::infinity() /* output min */, std::numeric_limits<float>::infinity() /* output max */, |
| 804 | 0 /* flags */, |
| 805 | &op23); |
| 806 | if (status != xnn_status_success) { |
| 807 | std::cerr << "failed to create operation #23" << std::endl; |
| 808 | return ExecutionPlan(); |
| 809 | } |
| 810 | operators.emplace_back(op23, xnn_delete_operator); |
| 811 | |
| 812 | xnn_operator_t op24 = nullptr; |
| 813 | status = xnn_create_convolution2d_nhwc_f32( |
| 814 | 0 /* top padding */, 0 /* right padding */, |
| 815 | 0 /* bottom padding */, 0 /* left padding */, |
| 816 | 1 /* kernel height */, 1 /* kernel width */, |
| 817 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 818 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 819 | 1 /* groups */, |
| 820 | 64 /* input channels per group */, |
| 821 | 384 /* output_channels_per_group */, |
| 822 | 64 /* input pixel stride */, |
| 823 | 384 /* output pixel stride */, |
| 824 | w107, w108, |
| 825 | 0.0f /* output min */, 6.0f /* output max */, |
| 826 | 0 /* flags */, |
| 827 | &op24); |
| 828 | if (status != xnn_status_success) { |
| 829 | std::cerr << "failed to create operation #24" << std::endl; |
| 830 | return ExecutionPlan(); |
| 831 | } |
| 832 | operators.emplace_back(op24, xnn_delete_operator); |
| 833 | |
| 834 | xnn_operator_t op25 = nullptr; |
| 835 | status = xnn_create_convolution2d_nhwc_f32( |
| 836 | 1 /* top padding */, 1 /* right padding */, |
| 837 | 1 /* bottom padding */, 1 /* left padding */, |
| 838 | 3 /* kernel height */, 3 /* kernel width */, |
| 839 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 840 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 841 | 384 /* groups */, |
| 842 | 1 /* input channels per group */, |
| 843 | 1 /* output_channels_per_group */, |
| 844 | 384 /* input pixel stride */, |
| 845 | 384 /* output pixel stride */, |
| 846 | w109, w110, |
| 847 | 0.0f /* output min */, 6.0f /* output max */, |
| 848 | 0 /* flags */, |
| 849 | &op25); |
| 850 | if (status != xnn_status_success) { |
| 851 | std::cerr << "failed to create operation #25" << std::endl; |
| 852 | return ExecutionPlan(); |
| 853 | } |
| 854 | operators.emplace_back(op25, xnn_delete_operator); |
| 855 | |
| 856 | xnn_operator_t op26 = nullptr; |
| 857 | status = xnn_create_convolution2d_nhwc_f32( |
| 858 | 0 /* top padding */, 0 /* right padding */, |
| 859 | 0 /* bottom padding */, 0 /* left padding */, |
| 860 | 1 /* kernel height */, 1 /* kernel width */, |
| 861 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 862 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 863 | 1 /* groups */, |
| 864 | 384 /* input channels per group */, |
| 865 | 64 /* output_channels_per_group */, |
| 866 | 384 /* input pixel stride */, |
| 867 | 64 /* output pixel stride */, |
| 868 | w111, w112, |
| 869 | -std::numeric_limits<float>::infinity() /* output min */, std::numeric_limits<float>::infinity() /* output max */, |
| 870 | 0 /* flags */, |
| 871 | &op26); |
| 872 | if (status != xnn_status_success) { |
| 873 | std::cerr << "failed to create operation #26" << std::endl; |
| 874 | return ExecutionPlan(); |
| 875 | } |
| 876 | operators.emplace_back(op26, xnn_delete_operator); |
| 877 | |
| 878 | xnn_operator_t op27 = nullptr; |
| 879 | status = xnn_create_add_nc_f32( |
| 880 | 64 /* channels */, |
| 881 | 64 /* a stride */, |
| 882 | 64 /* b stride */, |
| 883 | 64 /* c stride */, |
| 884 | -std::numeric_limits<float>::infinity() /* output min */, std::numeric_limits<float>::infinity() /* output max */, |
| 885 | 0 /* flags */, |
| 886 | &op27); |
| 887 | if (status != xnn_status_success) { |
| 888 | std::cerr << "failed to create operation #27" << std::endl; |
| 889 | return ExecutionPlan(); |
| 890 | } |
| 891 | operators.emplace_back(op27, xnn_delete_operator); |
| 892 | |
| 893 | xnn_operator_t op28 = nullptr; |
| 894 | status = xnn_create_convolution2d_nhwc_f32( |
| 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 | w113, w114, |
| 906 | 0.0f /* output min */, 6.0f /* output max */, |
| 907 | 0 /* flags */, |
| 908 | &op28); |
| 909 | if (status != xnn_status_success) { |
| 910 | std::cerr << "failed to create operation #28" << std::endl; |
| 911 | return ExecutionPlan(); |
| 912 | } |
| 913 | operators.emplace_back(op28, xnn_delete_operator); |
| 914 | |
| 915 | xnn_operator_t op29 = nullptr; |
| 916 | status = xnn_create_convolution2d_nhwc_f32( |
| 917 | 1 /* top padding */, 1 /* right padding */, |
| 918 | 1 /* bottom padding */, 1 /* left padding */, |
| 919 | 3 /* kernel height */, 3 /* kernel width */, |
| 920 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 921 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 922 | 384 /* groups */, |
| 923 | 1 /* input channels per group */, |
| 924 | 1 /* output_channels_per_group */, |
| 925 | 384 /* input pixel stride */, |
| 926 | 384 /* output pixel stride */, |
| 927 | w115, w116, |
| 928 | 0.0f /* output min */, 6.0f /* output max */, |
| 929 | 0 /* flags */, |
| 930 | &op29); |
| 931 | if (status != xnn_status_success) { |
| 932 | std::cerr << "failed to create operation #29" << std::endl; |
| 933 | return ExecutionPlan(); |
| 934 | } |
| 935 | operators.emplace_back(op29, xnn_delete_operator); |
| 936 | |
| 937 | xnn_operator_t op30 = nullptr; |
| 938 | status = xnn_create_convolution2d_nhwc_f32( |
| 939 | 0 /* top padding */, 0 /* right padding */, |
| 940 | 0 /* bottom padding */, 0 /* left padding */, |
| 941 | 1 /* kernel height */, 1 /* kernel width */, |
| 942 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 943 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 944 | 1 /* groups */, |
| 945 | 384 /* input channels per group */, |
| 946 | 64 /* output_channels_per_group */, |
| 947 | 384 /* input pixel stride */, |
| 948 | 64 /* output pixel stride */, |
| 949 | w117, w118, |
| 950 | -std::numeric_limits<float>::infinity() /* output min */, std::numeric_limits<float>::infinity() /* output max */, |
| 951 | 0 /* flags */, |
| 952 | &op30); |
| 953 | if (status != xnn_status_success) { |
| 954 | std::cerr << "failed to create operation #30" << std::endl; |
| 955 | return ExecutionPlan(); |
| 956 | } |
| 957 | operators.emplace_back(op30, xnn_delete_operator); |
| 958 | |
| 959 | xnn_operator_t op31 = nullptr; |
| 960 | status = xnn_create_add_nc_f32( |
| 961 | 64 /* channels */, |
| 962 | 64 /* a stride */, |
| 963 | 64 /* b stride */, |
| 964 | 64 /* c stride */, |
| 965 | -std::numeric_limits<float>::infinity() /* output min */, std::numeric_limits<float>::infinity() /* output max */, |
| 966 | 0 /* flags */, |
| 967 | &op31); |
| 968 | if (status != xnn_status_success) { |
| 969 | std::cerr << "failed to create operation #31" << std::endl; |
| 970 | return ExecutionPlan(); |
| 971 | } |
| 972 | operators.emplace_back(op31, xnn_delete_operator); |
| 973 | |
| 974 | xnn_operator_t op32 = nullptr; |
| 975 | status = xnn_create_convolution2d_nhwc_f32( |
| 976 | 0 /* top padding */, 0 /* right padding */, |
| 977 | 0 /* bottom padding */, 0 /* left padding */, |
| 978 | 1 /* kernel height */, 1 /* kernel width */, |
| 979 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 980 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 981 | 1 /* groups */, |
| 982 | 64 /* input channels per group */, |
| 983 | 384 /* output_channels_per_group */, |
| 984 | 64 /* input pixel stride */, |
| 985 | 384 /* output pixel stride */, |
| 986 | w119, w120, |
| 987 | 0.0f /* output min */, 6.0f /* output max */, |
| 988 | 0 /* flags */, |
| 989 | &op32); |
| 990 | if (status != xnn_status_success) { |
| 991 | std::cerr << "failed to create operation #32" << std::endl; |
| 992 | return ExecutionPlan(); |
| 993 | } |
| 994 | operators.emplace_back(op32, xnn_delete_operator); |
| 995 | |
| 996 | xnn_operator_t op33 = nullptr; |
| 997 | status = xnn_create_convolution2d_nhwc_f32( |
| 998 | 1 /* top padding */, 1 /* right padding */, |
| 999 | 1 /* bottom padding */, 1 /* left padding */, |
| 1000 | 3 /* kernel height */, 3 /* kernel width */, |
| 1001 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1002 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1003 | 384 /* groups */, |
| 1004 | 1 /* input channels per group */, |
| 1005 | 1 /* output_channels_per_group */, |
| 1006 | 384 /* input pixel stride */, |
| 1007 | 384 /* output pixel stride */, |
| 1008 | w121, w122, |
| 1009 | 0.0f /* output min */, 6.0f /* output max */, |
| 1010 | 0 /* flags */, |
| 1011 | &op33); |
| 1012 | if (status != xnn_status_success) { |
| 1013 | std::cerr << "failed to create operation #33" << std::endl; |
| 1014 | return ExecutionPlan(); |
| 1015 | } |
| 1016 | operators.emplace_back(op33, xnn_delete_operator); |
| 1017 | |
| 1018 | xnn_operator_t op34 = nullptr; |
| 1019 | status = xnn_create_convolution2d_nhwc_f32( |
| 1020 | 0 /* top padding */, 0 /* right padding */, |
| 1021 | 0 /* bottom padding */, 0 /* left padding */, |
| 1022 | 1 /* kernel height */, 1 /* kernel width */, |
| 1023 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1024 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1025 | 1 /* groups */, |
| 1026 | 384 /* input channels per group */, |
| 1027 | 64 /* output_channels_per_group */, |
| 1028 | 384 /* input pixel stride */, |
| 1029 | 64 /* output pixel stride */, |
| 1030 | w123, w124, |
| 1031 | -std::numeric_limits<float>::infinity() /* output min */, std::numeric_limits<float>::infinity() /* output max */, |
| 1032 | 0 /* flags */, |
| 1033 | &op34); |
| 1034 | if (status != xnn_status_success) { |
| 1035 | std::cerr << "failed to create operation #34" << std::endl; |
| 1036 | return ExecutionPlan(); |
| 1037 | } |
| 1038 | operators.emplace_back(op34, xnn_delete_operator); |
| 1039 | |
| 1040 | xnn_operator_t op35 = nullptr; |
| 1041 | status = xnn_create_add_nc_f32( |
| 1042 | 64 /* channels */, |
| 1043 | 64 /* a stride */, |
| 1044 | 64 /* b stride */, |
| 1045 | 64 /* c stride */, |
| 1046 | -std::numeric_limits<float>::infinity() /* output min */, std::numeric_limits<float>::infinity() /* output max */, |
| 1047 | 0 /* flags */, |
| 1048 | &op35); |
| 1049 | if (status != xnn_status_success) { |
| 1050 | std::cerr << "failed to create operation #35" << std::endl; |
| 1051 | return ExecutionPlan(); |
| 1052 | } |
| 1053 | operators.emplace_back(op35, xnn_delete_operator); |
| 1054 | |
| 1055 | xnn_operator_t op36 = nullptr; |
| 1056 | status = xnn_create_convolution2d_nhwc_f32( |
| 1057 | 0 /* top padding */, 0 /* right padding */, |
| 1058 | 0 /* bottom padding */, 0 /* left padding */, |
| 1059 | 1 /* kernel height */, 1 /* kernel width */, |
| 1060 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1061 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1062 | 1 /* groups */, |
| 1063 | 64 /* input channels per group */, |
| 1064 | 384 /* output_channels_per_group */, |
| 1065 | 64 /* input pixel stride */, |
| 1066 | 384 /* output pixel stride */, |
| 1067 | w125, w126, |
| 1068 | 0.0f /* output min */, 6.0f /* output max */, |
| 1069 | 0 /* flags */, |
| 1070 | &op36); |
| 1071 | if (status != xnn_status_success) { |
| 1072 | std::cerr << "failed to create operation #36" << std::endl; |
| 1073 | return ExecutionPlan(); |
| 1074 | } |
| 1075 | operators.emplace_back(op36, xnn_delete_operator); |
| 1076 | |
| 1077 | xnn_operator_t op37 = nullptr; |
| 1078 | status = xnn_create_convolution2d_nhwc_f32( |
| 1079 | 1 /* top padding */, 1 /* right padding */, |
| 1080 | 1 /* bottom padding */, 1 /* left padding */, |
| 1081 | 3 /* kernel height */, 3 /* kernel width */, |
| 1082 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1083 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1084 | 384 /* groups */, |
| 1085 | 1 /* input channels per group */, |
| 1086 | 1 /* output_channels_per_group */, |
| 1087 | 384 /* input pixel stride */, |
| 1088 | 384 /* output pixel stride */, |
| 1089 | w127, w128, |
| 1090 | 0.0f /* output min */, 6.0f /* output max */, |
| 1091 | 0 /* flags */, |
| 1092 | &op37); |
| 1093 | if (status != xnn_status_success) { |
| 1094 | std::cerr << "failed to create operation #37" << std::endl; |
| 1095 | return ExecutionPlan(); |
| 1096 | } |
| 1097 | operators.emplace_back(op37, xnn_delete_operator); |
| 1098 | |
| 1099 | xnn_operator_t op38 = nullptr; |
| 1100 | status = xnn_create_convolution2d_nhwc_f32( |
| 1101 | 0 /* top padding */, 0 /* right padding */, |
| 1102 | 0 /* bottom padding */, 0 /* left padding */, |
| 1103 | 1 /* kernel height */, 1 /* kernel width */, |
| 1104 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1105 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1106 | 1 /* groups */, |
| 1107 | 384 /* input channels per group */, |
| 1108 | 96 /* output_channels_per_group */, |
| 1109 | 384 /* input pixel stride */, |
| 1110 | 96 /* output pixel stride */, |
| 1111 | w129, w130, |
| 1112 | -std::numeric_limits<float>::infinity() /* output min */, std::numeric_limits<float>::infinity() /* output max */, |
| 1113 | 0 /* flags */, |
| 1114 | &op38); |
| 1115 | if (status != xnn_status_success) { |
| 1116 | std::cerr << "failed to create operation #38" << std::endl; |
| 1117 | return ExecutionPlan(); |
| 1118 | } |
| 1119 | operators.emplace_back(op38, xnn_delete_operator); |
| 1120 | |
| 1121 | xnn_operator_t op39 = nullptr; |
| 1122 | status = xnn_create_convolution2d_nhwc_f32( |
| 1123 | 0 /* top padding */, 0 /* right padding */, |
| 1124 | 0 /* bottom padding */, 0 /* left padding */, |
| 1125 | 1 /* kernel height */, 1 /* kernel width */, |
| 1126 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1127 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1128 | 1 /* groups */, |
| 1129 | 96 /* input channels per group */, |
| 1130 | 576 /* output_channels_per_group */, |
| 1131 | 96 /* input pixel stride */, |
| 1132 | 576 /* output pixel stride */, |
| 1133 | w131, w132, |
| 1134 | 0.0f /* output min */, 6.0f /* output max */, |
| 1135 | 0 /* flags */, |
| 1136 | &op39); |
| 1137 | if (status != xnn_status_success) { |
| 1138 | std::cerr << "failed to create operation #39" << std::endl; |
| 1139 | return ExecutionPlan(); |
| 1140 | } |
| 1141 | operators.emplace_back(op39, xnn_delete_operator); |
| 1142 | |
| 1143 | xnn_operator_t op40 = nullptr; |
| 1144 | status = xnn_create_convolution2d_nhwc_f32( |
| 1145 | 1 /* top padding */, 1 /* right padding */, |
| 1146 | 1 /* bottom padding */, 1 /* left padding */, |
| 1147 | 3 /* kernel height */, 3 /* kernel width */, |
| 1148 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1149 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1150 | 576 /* groups */, |
| 1151 | 1 /* input channels per group */, |
| 1152 | 1 /* output_channels_per_group */, |
| 1153 | 576 /* input pixel stride */, |
| 1154 | 576 /* output pixel stride */, |
| 1155 | w133, w134, |
| 1156 | 0.0f /* output min */, 6.0f /* output max */, |
| 1157 | 0 /* flags */, |
| 1158 | &op40); |
| 1159 | if (status != xnn_status_success) { |
| 1160 | std::cerr << "failed to create operation #40" << std::endl; |
| 1161 | return ExecutionPlan(); |
| 1162 | } |
| 1163 | operators.emplace_back(op40, xnn_delete_operator); |
| 1164 | |
| 1165 | xnn_operator_t op41 = nullptr; |
| 1166 | status = xnn_create_convolution2d_nhwc_f32( |
| 1167 | 0 /* top padding */, 0 /* right padding */, |
| 1168 | 0 /* bottom padding */, 0 /* left padding */, |
| 1169 | 1 /* kernel height */, 1 /* kernel width */, |
| 1170 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1171 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1172 | 1 /* groups */, |
| 1173 | 576 /* input channels per group */, |
| 1174 | 96 /* output_channels_per_group */, |
| 1175 | 576 /* input pixel stride */, |
| 1176 | 96 /* output pixel stride */, |
| 1177 | w135, w136, |
| 1178 | -std::numeric_limits<float>::infinity() /* output min */, std::numeric_limits<float>::infinity() /* output max */, |
| 1179 | 0 /* flags */, |
| 1180 | &op41); |
| 1181 | if (status != xnn_status_success) { |
| 1182 | std::cerr << "failed to create operation #41" << std::endl; |
| 1183 | return ExecutionPlan(); |
| 1184 | } |
| 1185 | operators.emplace_back(op41, xnn_delete_operator); |
| 1186 | |
| 1187 | xnn_operator_t op42 = nullptr; |
| 1188 | status = xnn_create_add_nc_f32( |
| 1189 | 96 /* channels */, |
| 1190 | 96 /* a stride */, |
| 1191 | 96 /* b stride */, |
| 1192 | 96 /* c stride */, |
| 1193 | -std::numeric_limits<float>::infinity() /* output min */, std::numeric_limits<float>::infinity() /* output max */, |
| 1194 | 0 /* flags */, |
| 1195 | &op42); |
| 1196 | if (status != xnn_status_success) { |
| 1197 | std::cerr << "failed to create operation #42" << std::endl; |
| 1198 | return ExecutionPlan(); |
| 1199 | } |
| 1200 | operators.emplace_back(op42, xnn_delete_operator); |
| 1201 | |
| 1202 | xnn_operator_t op43 = nullptr; |
| 1203 | status = xnn_create_convolution2d_nhwc_f32( |
| 1204 | 0 /* top padding */, 0 /* right padding */, |
| 1205 | 0 /* bottom padding */, 0 /* left padding */, |
| 1206 | 1 /* kernel height */, 1 /* kernel width */, |
| 1207 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1208 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1209 | 1 /* groups */, |
| 1210 | 96 /* input channels per group */, |
| 1211 | 576 /* output_channels_per_group */, |
| 1212 | 96 /* input pixel stride */, |
| 1213 | 576 /* output pixel stride */, |
| 1214 | w137, w138, |
| 1215 | 0.0f /* output min */, 6.0f /* output max */, |
| 1216 | 0 /* flags */, |
| 1217 | &op43); |
| 1218 | if (status != xnn_status_success) { |
| 1219 | std::cerr << "failed to create operation #43" << std::endl; |
| 1220 | return ExecutionPlan(); |
| 1221 | } |
| 1222 | operators.emplace_back(op43, xnn_delete_operator); |
| 1223 | |
| 1224 | xnn_operator_t op44 = nullptr; |
| 1225 | status = xnn_create_convolution2d_nhwc_f32( |
| 1226 | 1 /* top padding */, 1 /* right padding */, |
| 1227 | 1 /* bottom padding */, 1 /* left padding */, |
| 1228 | 3 /* kernel height */, 3 /* kernel width */, |
| 1229 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1230 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1231 | 576 /* groups */, |
| 1232 | 1 /* input channels per group */, |
| 1233 | 1 /* output_channels_per_group */, |
| 1234 | 576 /* input pixel stride */, |
| 1235 | 576 /* output pixel stride */, |
| 1236 | w139, w140, |
| 1237 | 0.0f /* output min */, 6.0f /* output max */, |
| 1238 | 0 /* flags */, |
| 1239 | &op44); |
| 1240 | if (status != xnn_status_success) { |
| 1241 | std::cerr << "failed to create operation #44" << std::endl; |
| 1242 | return ExecutionPlan(); |
| 1243 | } |
| 1244 | operators.emplace_back(op44, xnn_delete_operator); |
| 1245 | |
| 1246 | xnn_operator_t op45 = nullptr; |
| 1247 | status = xnn_create_convolution2d_nhwc_f32( |
| 1248 | 0 /* top padding */, 0 /* right padding */, |
| 1249 | 0 /* bottom padding */, 0 /* left padding */, |
| 1250 | 1 /* kernel height */, 1 /* kernel width */, |
| 1251 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1252 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1253 | 1 /* groups */, |
| 1254 | 576 /* input channels per group */, |
| 1255 | 96 /* output_channels_per_group */, |
| 1256 | 576 /* input pixel stride */, |
| 1257 | 96 /* output pixel stride */, |
| 1258 | w141, w142, |
| 1259 | -std::numeric_limits<float>::infinity() /* output min */, std::numeric_limits<float>::infinity() /* output max */, |
| 1260 | 0 /* flags */, |
| 1261 | &op45); |
| 1262 | if (status != xnn_status_success) { |
| 1263 | std::cerr << "failed to create operation #45" << std::endl; |
| 1264 | return ExecutionPlan(); |
| 1265 | } |
| 1266 | operators.emplace_back(op45, xnn_delete_operator); |
| 1267 | |
| 1268 | xnn_operator_t op46 = nullptr; |
| 1269 | status = xnn_create_add_nc_f32( |
| 1270 | 96 /* channels */, |
| 1271 | 96 /* a stride */, |
| 1272 | 96 /* b stride */, |
| 1273 | 96 /* c stride */, |
| 1274 | -std::numeric_limits<float>::infinity() /* output min */, std::numeric_limits<float>::infinity() /* output max */, |
| 1275 | 0 /* flags */, |
| 1276 | &op46); |
| 1277 | if (status != xnn_status_success) { |
| 1278 | std::cerr << "failed to create operation #46" << std::endl; |
| 1279 | return ExecutionPlan(); |
| 1280 | } |
| 1281 | operators.emplace_back(op46, xnn_delete_operator); |
| 1282 | |
| 1283 | xnn_operator_t op47 = nullptr; |
| 1284 | status = xnn_create_convolution2d_nhwc_f32( |
| 1285 | 0 /* top padding */, 0 /* right padding */, |
| 1286 | 0 /* bottom padding */, 0 /* left padding */, |
| 1287 | 1 /* kernel height */, 1 /* kernel width */, |
| 1288 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1289 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1290 | 1 /* groups */, |
| 1291 | 96 /* input channels per group */, |
| 1292 | 576 /* output_channels_per_group */, |
| 1293 | 96 /* input pixel stride */, |
| 1294 | 576 /* output pixel stride */, |
| 1295 | w143, w144, |
| 1296 | 0.0f /* output min */, 6.0f /* output max */, |
| 1297 | 0 /* flags */, |
| 1298 | &op47); |
| 1299 | if (status != xnn_status_success) { |
| 1300 | std::cerr << "failed to create operation #47" << std::endl; |
| 1301 | return ExecutionPlan(); |
| 1302 | } |
| 1303 | operators.emplace_back(op47, xnn_delete_operator); |
| 1304 | |
| 1305 | xnn_operator_t op48 = nullptr; |
| 1306 | status = xnn_create_convolution2d_nhwc_f32( |
| 1307 | 0 /* top padding */, 1 /* right padding */, |
| 1308 | 1 /* bottom padding */, 0 /* left padding */, |
| 1309 | 3 /* kernel height */, 3 /* kernel width */, |
| 1310 | 2 /* subsampling height */, 2 /* subsampling width */, |
| 1311 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1312 | 576 /* groups */, |
| 1313 | 1 /* input channels per group */, |
| 1314 | 1 /* output_channels_per_group */, |
| 1315 | 576 /* input pixel stride */, |
| 1316 | 576 /* output pixel stride */, |
| 1317 | w145, w146, |
| 1318 | 0.0f /* output min */, 6.0f /* output max */, |
| 1319 | 0 /* flags */, |
| 1320 | &op48); |
| 1321 | if (status != xnn_status_success) { |
| 1322 | std::cerr << "failed to create operation #48" << std::endl; |
| 1323 | return ExecutionPlan(); |
| 1324 | } |
| 1325 | operators.emplace_back(op48, xnn_delete_operator); |
| 1326 | |
| 1327 | xnn_operator_t op49 = nullptr; |
| 1328 | status = xnn_create_convolution2d_nhwc_f32( |
| 1329 | 0 /* top padding */, 0 /* right padding */, |
| 1330 | 0 /* bottom padding */, 0 /* left padding */, |
| 1331 | 1 /* kernel height */, 1 /* kernel width */, |
| 1332 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1333 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1334 | 1 /* groups */, |
| 1335 | 576 /* input channels per group */, |
| 1336 | 160 /* output_channels_per_group */, |
| 1337 | 576 /* input pixel stride */, |
| 1338 | 160 /* output pixel stride */, |
| 1339 | w147, w148, |
| 1340 | -std::numeric_limits<float>::infinity() /* output min */, std::numeric_limits<float>::infinity() /* output max */, |
| 1341 | 0 /* flags */, |
| 1342 | &op49); |
| 1343 | if (status != xnn_status_success) { |
| 1344 | std::cerr << "failed to create operation #49" << std::endl; |
| 1345 | return ExecutionPlan(); |
| 1346 | } |
| 1347 | operators.emplace_back(op49, xnn_delete_operator); |
| 1348 | |
| 1349 | xnn_operator_t op50 = nullptr; |
| 1350 | status = xnn_create_convolution2d_nhwc_f32( |
| 1351 | 0 /* top padding */, 0 /* right padding */, |
| 1352 | 0 /* bottom padding */, 0 /* left padding */, |
| 1353 | 1 /* kernel height */, 1 /* kernel width */, |
| 1354 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1355 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1356 | 1 /* groups */, |
| 1357 | 160 /* input channels per group */, |
| 1358 | 960 /* output_channels_per_group */, |
| 1359 | 160 /* input pixel stride */, |
| 1360 | 960 /* output pixel stride */, |
| 1361 | w149, w150, |
| 1362 | 0.0f /* output min */, 6.0f /* output max */, |
| 1363 | 0 /* flags */, |
| 1364 | &op50); |
| 1365 | if (status != xnn_status_success) { |
| 1366 | std::cerr << "failed to create operation #50" << std::endl; |
| 1367 | return ExecutionPlan(); |
| 1368 | } |
| 1369 | operators.emplace_back(op50, xnn_delete_operator); |
| 1370 | |
| 1371 | xnn_operator_t op51 = nullptr; |
| 1372 | status = xnn_create_convolution2d_nhwc_f32( |
| 1373 | 1 /* top padding */, 1 /* right padding */, |
| 1374 | 1 /* bottom padding */, 1 /* left padding */, |
| 1375 | 3 /* kernel height */, 3 /* kernel width */, |
| 1376 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1377 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1378 | 960 /* groups */, |
| 1379 | 1 /* input channels per group */, |
| 1380 | 1 /* output_channels_per_group */, |
| 1381 | 960 /* input pixel stride */, |
| 1382 | 960 /* output pixel stride */, |
| 1383 | w151, w152, |
| 1384 | 0.0f /* output min */, 6.0f /* output max */, |
| 1385 | 0 /* flags */, |
| 1386 | &op51); |
| 1387 | if (status != xnn_status_success) { |
| 1388 | std::cerr << "failed to create operation #51" << std::endl; |
| 1389 | return ExecutionPlan(); |
| 1390 | } |
| 1391 | operators.emplace_back(op51, xnn_delete_operator); |
| 1392 | |
| 1393 | xnn_operator_t op52 = nullptr; |
| 1394 | status = xnn_create_convolution2d_nhwc_f32( |
| 1395 | 0 /* top padding */, 0 /* right padding */, |
| 1396 | 0 /* bottom padding */, 0 /* left padding */, |
| 1397 | 1 /* kernel height */, 1 /* kernel width */, |
| 1398 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1399 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1400 | 1 /* groups */, |
| 1401 | 960 /* input channels per group */, |
| 1402 | 160 /* output_channels_per_group */, |
| 1403 | 960 /* input pixel stride */, |
| 1404 | 160 /* output pixel stride */, |
| 1405 | w153, w154, |
| 1406 | -std::numeric_limits<float>::infinity() /* output min */, std::numeric_limits<float>::infinity() /* output max */, |
| 1407 | 0 /* flags */, |
| 1408 | &op52); |
| 1409 | if (status != xnn_status_success) { |
| 1410 | std::cerr << "failed to create operation #52" << std::endl; |
| 1411 | return ExecutionPlan(); |
| 1412 | } |
| 1413 | operators.emplace_back(op52, xnn_delete_operator); |
| 1414 | |
| 1415 | xnn_operator_t op53 = nullptr; |
| 1416 | status = xnn_create_add_nc_f32( |
| 1417 | 160 /* channels */, |
| 1418 | 160 /* a stride */, |
| 1419 | 160 /* b stride */, |
| 1420 | 160 /* c stride */, |
| 1421 | -std::numeric_limits<float>::infinity() /* output min */, std::numeric_limits<float>::infinity() /* output max */, |
| 1422 | 0 /* flags */, |
| 1423 | &op53); |
| 1424 | if (status != xnn_status_success) { |
| 1425 | std::cerr << "failed to create operation #53" << std::endl; |
| 1426 | return ExecutionPlan(); |
| 1427 | } |
| 1428 | operators.emplace_back(op53, xnn_delete_operator); |
| 1429 | |
| 1430 | xnn_operator_t op54 = nullptr; |
| 1431 | status = xnn_create_convolution2d_nhwc_f32( |
| 1432 | 0 /* top padding */, 0 /* right padding */, |
| 1433 | 0 /* bottom padding */, 0 /* left padding */, |
| 1434 | 1 /* kernel height */, 1 /* kernel width */, |
| 1435 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1436 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1437 | 1 /* groups */, |
| 1438 | 160 /* input channels per group */, |
| 1439 | 960 /* output_channels_per_group */, |
| 1440 | 160 /* input pixel stride */, |
| 1441 | 960 /* output pixel stride */, |
| 1442 | w155, w156, |
| 1443 | 0.0f /* output min */, 6.0f /* output max */, |
| 1444 | 0 /* flags */, |
| 1445 | &op54); |
| 1446 | if (status != xnn_status_success) { |
| 1447 | std::cerr << "failed to create operation #54" << std::endl; |
| 1448 | return ExecutionPlan(); |
| 1449 | } |
| 1450 | operators.emplace_back(op54, xnn_delete_operator); |
| 1451 | |
| 1452 | xnn_operator_t op55 = nullptr; |
| 1453 | status = xnn_create_convolution2d_nhwc_f32( |
| 1454 | 1 /* top padding */, 1 /* right padding */, |
| 1455 | 1 /* bottom padding */, 1 /* left padding */, |
| 1456 | 3 /* kernel height */, 3 /* kernel width */, |
| 1457 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1458 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1459 | 960 /* groups */, |
| 1460 | 1 /* input channels per group */, |
| 1461 | 1 /* output_channels_per_group */, |
| 1462 | 960 /* input pixel stride */, |
| 1463 | 960 /* output pixel stride */, |
| 1464 | w157, w158, |
| 1465 | 0.0f /* output min */, 6.0f /* output max */, |
| 1466 | 0 /* flags */, |
| 1467 | &op55); |
| 1468 | if (status != xnn_status_success) { |
| 1469 | std::cerr << "failed to create operation #55" << std::endl; |
| 1470 | return ExecutionPlan(); |
| 1471 | } |
| 1472 | operators.emplace_back(op55, xnn_delete_operator); |
| 1473 | |
| 1474 | xnn_operator_t op56 = nullptr; |
| 1475 | status = xnn_create_convolution2d_nhwc_f32( |
| 1476 | 0 /* top padding */, 0 /* right padding */, |
| 1477 | 0 /* bottom padding */, 0 /* left padding */, |
| 1478 | 1 /* kernel height */, 1 /* kernel width */, |
| 1479 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1480 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1481 | 1 /* groups */, |
| 1482 | 960 /* input channels per group */, |
| 1483 | 160 /* output_channels_per_group */, |
| 1484 | 960 /* input pixel stride */, |
| 1485 | 160 /* output pixel stride */, |
| 1486 | w159, w160, |
| 1487 | -std::numeric_limits<float>::infinity() /* output min */, std::numeric_limits<float>::infinity() /* output max */, |
| 1488 | 0 /* flags */, |
| 1489 | &op56); |
| 1490 | if (status != xnn_status_success) { |
| 1491 | std::cerr << "failed to create operation #56" << std::endl; |
| 1492 | return ExecutionPlan(); |
| 1493 | } |
| 1494 | operators.emplace_back(op56, xnn_delete_operator); |
| 1495 | |
| 1496 | xnn_operator_t op57 = nullptr; |
| 1497 | status = xnn_create_add_nc_f32( |
| 1498 | 160 /* channels */, |
| 1499 | 160 /* a stride */, |
| 1500 | 160 /* b stride */, |
| 1501 | 160 /* c stride */, |
| 1502 | -std::numeric_limits<float>::infinity() /* output min */, std::numeric_limits<float>::infinity() /* output max */, |
| 1503 | 0 /* flags */, |
| 1504 | &op57); |
| 1505 | if (status != xnn_status_success) { |
| 1506 | std::cerr << "failed to create operation #57" << std::endl; |
| 1507 | return ExecutionPlan(); |
| 1508 | } |
| 1509 | operators.emplace_back(op57, xnn_delete_operator); |
| 1510 | |
| 1511 | xnn_operator_t op58 = nullptr; |
| 1512 | status = xnn_create_convolution2d_nhwc_f32( |
| 1513 | 0 /* top padding */, 0 /* right padding */, |
| 1514 | 0 /* bottom padding */, 0 /* left padding */, |
| 1515 | 1 /* kernel height */, 1 /* kernel width */, |
| 1516 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1517 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1518 | 1 /* groups */, |
| 1519 | 160 /* input channels per group */, |
| 1520 | 960 /* output_channels_per_group */, |
| 1521 | 160 /* input pixel stride */, |
| 1522 | 960 /* output pixel stride */, |
| 1523 | w161, w162, |
| 1524 | 0.0f /* output min */, 6.0f /* output max */, |
| 1525 | 0 /* flags */, |
| 1526 | &op58); |
| 1527 | if (status != xnn_status_success) { |
| 1528 | std::cerr << "failed to create operation #58" << std::endl; |
| 1529 | return ExecutionPlan(); |
| 1530 | } |
| 1531 | operators.emplace_back(op58, xnn_delete_operator); |
| 1532 | |
| 1533 | xnn_operator_t op59 = nullptr; |
| 1534 | status = xnn_create_convolution2d_nhwc_f32( |
| 1535 | 1 /* top padding */, 1 /* right padding */, |
| 1536 | 1 /* bottom padding */, 1 /* left padding */, |
| 1537 | 3 /* kernel height */, 3 /* kernel width */, |
| 1538 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1539 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1540 | 960 /* groups */, |
| 1541 | 1 /* input channels per group */, |
| 1542 | 1 /* output_channels_per_group */, |
| 1543 | 960 /* input pixel stride */, |
| 1544 | 960 /* output pixel stride */, |
| 1545 | w163, w164, |
| 1546 | 0.0f /* output min */, 6.0f /* output max */, |
| 1547 | 0 /* flags */, |
| 1548 | &op59); |
| 1549 | if (status != xnn_status_success) { |
| 1550 | std::cerr << "failed to create operation #59" << std::endl; |
| 1551 | return ExecutionPlan(); |
| 1552 | } |
| 1553 | operators.emplace_back(op59, xnn_delete_operator); |
| 1554 | |
| 1555 | xnn_operator_t op60 = nullptr; |
| 1556 | status = xnn_create_convolution2d_nhwc_f32( |
| 1557 | 0 /* top padding */, 0 /* right padding */, |
| 1558 | 0 /* bottom padding */, 0 /* left padding */, |
| 1559 | 1 /* kernel height */, 1 /* kernel width */, |
| 1560 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1561 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1562 | 1 /* groups */, |
| 1563 | 960 /* input channels per group */, |
| 1564 | 320 /* output_channels_per_group */, |
| 1565 | 960 /* input pixel stride */, |
| 1566 | 320 /* output pixel stride */, |
| 1567 | w165, w166, |
| 1568 | -std::numeric_limits<float>::infinity() /* output min */, std::numeric_limits<float>::infinity() /* output max */, |
| 1569 | 0 /* flags */, |
| 1570 | &op60); |
| 1571 | if (status != xnn_status_success) { |
| 1572 | std::cerr << "failed to create operation #60" << std::endl; |
| 1573 | return ExecutionPlan(); |
| 1574 | } |
| 1575 | operators.emplace_back(op60, xnn_delete_operator); |
| 1576 | |
| 1577 | xnn_operator_t op61 = nullptr; |
| 1578 | status = xnn_create_convolution2d_nhwc_f32( |
| 1579 | 0 /* top padding */, 0 /* right padding */, |
| 1580 | 0 /* bottom padding */, 0 /* left padding */, |
| 1581 | 1 /* kernel height */, 1 /* kernel width */, |
| 1582 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1583 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1584 | 1 /* groups */, |
| 1585 | 320 /* input channels per group */, |
| 1586 | 1280 /* output_channels_per_group */, |
| 1587 | 320 /* input pixel stride */, |
| 1588 | 1280 /* output pixel stride */, |
| 1589 | w167, w168, |
| 1590 | 0.0f /* output min */, 6.0f /* output max */, |
| 1591 | 0 /* flags */, |
| 1592 | &op61); |
| 1593 | if (status != xnn_status_success) { |
| 1594 | std::cerr << "failed to create operation #61" << std::endl; |
| 1595 | return ExecutionPlan(); |
| 1596 | } |
| 1597 | operators.emplace_back(op61, xnn_delete_operator); |
| 1598 | |
| 1599 | xnn_operator_t op62 = nullptr; |
| 1600 | status = xnn_create_global_average_pooling_nwc_f32( |
Marat Dukhan | fd58293 | 2019-11-20 19:53:36 -0800 | [diff] [blame] | 1601 | 1280 /* channels */, 1280 /* input stride */, 1280 /* output stride */, |
Marat Dukhan | c068bb6 | 2019-10-04 13:24:39 -0700 | [diff] [blame] | 1602 | -std::numeric_limits<float>::infinity(), std::numeric_limits<float>::infinity(), |
| 1603 | 0 /* flags */, |
| 1604 | &op62); |
| 1605 | if (status != xnn_status_success) { |
| 1606 | std::cerr << "failed to create operation #62" << std::endl; |
| 1607 | return ExecutionPlan(); |
| 1608 | } |
| 1609 | operators.emplace_back(op62, xnn_delete_operator); |
| 1610 | |
| 1611 | xnn_operator_t op63 = nullptr; |
| 1612 | status = xnn_create_convolution2d_nhwc_f32( |
| 1613 | 0 /* top padding */, 0 /* right padding */, |
| 1614 | 0 /* bottom padding */, 0 /* left padding */, |
| 1615 | 1 /* kernel height */, 1 /* kernel width */, |
| 1616 | 1 /* subsampling height */, 1 /* subsampling width */, |
| 1617 | 1 /* dilation_height */, 1 /* dilation_width */, |
| 1618 | 1 /* groups */, |
| 1619 | 1280 /* input channels per group */, |
| 1620 | 1001 /* output_channels_per_group */, |
| 1621 | 1280 /* input pixel stride */, |
| 1622 | 1001 /* output pixel stride */, |
| 1623 | w169, w170, |
| 1624 | -std::numeric_limits<float>::infinity() /* output min */, std::numeric_limits<float>::infinity() /* output max */, |
| 1625 | 0 /* flags */, |
| 1626 | &op63); |
| 1627 | if (status != xnn_status_success) { |
| 1628 | std::cerr << "failed to create operation #63" << std::endl; |
| 1629 | return ExecutionPlan(); |
| 1630 | } |
| 1631 | operators.emplace_back(op63, xnn_delete_operator); |
| 1632 | |
| 1633 | |
| 1634 | |
| 1635 | status = xnn_setup_convolution2d_nhwc_f32( |
| 1636 | op0, |
| 1637 | 1 /* batch size */, 224 /* input height */, 224 /* input width */, |
| 1638 | &v0[0] /* input */, &v1[0] /* output */, |
| 1639 | threadpool /* threadpool */); |
| 1640 | if (status != xnn_status_success) { |
| 1641 | std::cerr << "failed to setup operation #0" << std::endl; |
| 1642 | return ExecutionPlan(); |
| 1643 | } |
| 1644 | |
| 1645 | status = xnn_setup_convolution2d_nhwc_f32( |
| 1646 | op1, |
| 1647 | 1 /* batch size */, 112 /* input height */, 112 /* input width */, |
| 1648 | &v1[0] /* input */, &v2[0] /* output */, |
| 1649 | threadpool /* threadpool */); |
| 1650 | if (status != xnn_status_success) { |
| 1651 | std::cerr << "failed to setup operation #1" << std::endl; |
| 1652 | return ExecutionPlan(); |
| 1653 | } |
| 1654 | |
| 1655 | status = xnn_setup_convolution2d_nhwc_f32( |
| 1656 | op2, |
| 1657 | 1 /* batch size */, 112 /* input height */, 112 /* input width */, |
| 1658 | &v2[0] /* input */, &v3[0] /* output */, |
| 1659 | threadpool /* threadpool */); |
| 1660 | if (status != xnn_status_success) { |
| 1661 | std::cerr << "failed to setup operation #2" << std::endl; |
| 1662 | return ExecutionPlan(); |
| 1663 | } |
| 1664 | |
| 1665 | status = xnn_setup_convolution2d_nhwc_f32( |
| 1666 | op3, |
| 1667 | 1 /* batch size */, 112 /* input height */, 112 /* input width */, |
| 1668 | &v3[0] /* input */, &v4[0] /* output */, |
| 1669 | threadpool /* threadpool */); |
| 1670 | if (status != xnn_status_success) { |
| 1671 | std::cerr << "failed to setup operation #3" << std::endl; |
| 1672 | return ExecutionPlan(); |
| 1673 | } |
| 1674 | |
| 1675 | status = xnn_setup_convolution2d_nhwc_f32( |
| 1676 | op4, |
| 1677 | 1 /* batch size */, 112 /* input height */, 112 /* input width */, |
| 1678 | &v4[0] /* input */, &v5[0] /* output */, |
| 1679 | threadpool /* threadpool */); |
| 1680 | if (status != xnn_status_success) { |
| 1681 | std::cerr << "failed to setup operation #4" << std::endl; |
| 1682 | return ExecutionPlan(); |
| 1683 | } |
| 1684 | |
| 1685 | status = xnn_setup_convolution2d_nhwc_f32( |
| 1686 | op5, |
| 1687 | 1 /* batch size */, 56 /* input height */, 56 /* input width */, |
| 1688 | &v5[0] /* input */, &v6[0] /* output */, |
| 1689 | threadpool /* threadpool */); |
| 1690 | if (status != xnn_status_success) { |
| 1691 | std::cerr << "failed to setup operation #5" << std::endl; |
| 1692 | return ExecutionPlan(); |
| 1693 | } |
| 1694 | |
| 1695 | status = xnn_setup_convolution2d_nhwc_f32( |
| 1696 | op6, |
| 1697 | 1 /* batch size */, 56 /* input height */, 56 /* input width */, |
| 1698 | &v6[0] /* input */, &v7[0] /* output */, |
| 1699 | threadpool /* threadpool */); |
| 1700 | if (status != xnn_status_success) { |
| 1701 | std::cerr << "failed to setup operation #6" << std::endl; |
| 1702 | return ExecutionPlan(); |
| 1703 | } |
| 1704 | |
| 1705 | status = xnn_setup_convolution2d_nhwc_f32( |
| 1706 | op7, |
| 1707 | 1 /* batch size */, 56 /* input height */, 56 /* input width */, |
| 1708 | &v7[0] /* input */, &v8[0] /* output */, |
| 1709 | threadpool /* threadpool */); |
| 1710 | if (status != xnn_status_success) { |
| 1711 | std::cerr << "failed to setup operation #7" << std::endl; |
| 1712 | return ExecutionPlan(); |
| 1713 | } |
| 1714 | |
| 1715 | status = xnn_setup_convolution2d_nhwc_f32( |
| 1716 | op8, |
| 1717 | 1 /* batch size */, 56 /* input height */, 56 /* input width */, |
| 1718 | &v8[0] /* input */, &v9[0] /* output */, |
| 1719 | threadpool /* threadpool */); |
| 1720 | if (status != xnn_status_success) { |
| 1721 | std::cerr << "failed to setup operation #8" << std::endl; |
| 1722 | return ExecutionPlan(); |
| 1723 | } |
| 1724 | |
| 1725 | status = xnn_setup_add_nc_f32( |
| 1726 | op9, |
| 1727 | 3136 /* batch size */, |
| 1728 | &v9[0] /* a */, &v6[0] /* b */, &v10[0] /* sum */, |
| 1729 | threadpool /* threadpool */); |
| 1730 | if (status != xnn_status_success) { |
| 1731 | std::cerr << "failed to setup operation #9" << std::endl; |
| 1732 | return ExecutionPlan(); |
| 1733 | } |
| 1734 | |
| 1735 | status = xnn_setup_convolution2d_nhwc_f32( |
| 1736 | op10, |
| 1737 | 1 /* batch size */, 56 /* input height */, 56 /* input width */, |
| 1738 | &v10[0] /* input */, &v11[0] /* output */, |
| 1739 | threadpool /* threadpool */); |
| 1740 | if (status != xnn_status_success) { |
| 1741 | std::cerr << "failed to setup operation #10" << std::endl; |
| 1742 | return ExecutionPlan(); |
| 1743 | } |
| 1744 | |
| 1745 | status = xnn_setup_convolution2d_nhwc_f32( |
| 1746 | op11, |
| 1747 | 1 /* batch size */, 56 /* input height */, 56 /* input width */, |
| 1748 | &v11[0] /* input */, &v12[0] /* output */, |
| 1749 | threadpool /* threadpool */); |
| 1750 | if (status != xnn_status_success) { |
| 1751 | std::cerr << "failed to setup operation #11" << std::endl; |
| 1752 | return ExecutionPlan(); |
| 1753 | } |
| 1754 | |
| 1755 | status = xnn_setup_convolution2d_nhwc_f32( |
| 1756 | op12, |
| 1757 | 1 /* batch size */, 28 /* input height */, 28 /* input width */, |
| 1758 | &v12[0] /* input */, &v13[0] /* output */, |
| 1759 | threadpool /* threadpool */); |
| 1760 | if (status != xnn_status_success) { |
| 1761 | std::cerr << "failed to setup operation #12" << std::endl; |
| 1762 | return ExecutionPlan(); |
| 1763 | } |
| 1764 | |
| 1765 | status = xnn_setup_convolution2d_nhwc_f32( |
| 1766 | op13, |
| 1767 | 1 /* batch size */, 28 /* input height */, 28 /* input width */, |
| 1768 | &v13[0] /* input */, &v14[0] /* output */, |
| 1769 | threadpool /* threadpool */); |
| 1770 | if (status != xnn_status_success) { |
| 1771 | std::cerr << "failed to setup operation #13" << std::endl; |
| 1772 | return ExecutionPlan(); |
| 1773 | } |
| 1774 | |
| 1775 | status = xnn_setup_convolution2d_nhwc_f32( |
| 1776 | op14, |
| 1777 | 1 /* batch size */, 28 /* input height */, 28 /* input width */, |
| 1778 | &v14[0] /* input */, &v15[0] /* output */, |
| 1779 | threadpool /* threadpool */); |
| 1780 | if (status != xnn_status_success) { |
| 1781 | std::cerr << "failed to setup operation #14" << std::endl; |
| 1782 | return ExecutionPlan(); |
| 1783 | } |
| 1784 | |
| 1785 | status = xnn_setup_convolution2d_nhwc_f32( |
| 1786 | op15, |
| 1787 | 1 /* batch size */, 28 /* input height */, 28 /* input width */, |
| 1788 | &v15[0] /* input */, &v16[0] /* output */, |
| 1789 | threadpool /* threadpool */); |
| 1790 | if (status != xnn_status_success) { |
| 1791 | std::cerr << "failed to setup operation #15" << std::endl; |
| 1792 | return ExecutionPlan(); |
| 1793 | } |
| 1794 | |
| 1795 | status = xnn_setup_add_nc_f32( |
| 1796 | op16, |
| 1797 | 784 /* batch size */, |
| 1798 | &v16[0] /* a */, &v13[0] /* b */, &v17[0] /* sum */, |
| 1799 | threadpool /* threadpool */); |
| 1800 | if (status != xnn_status_success) { |
| 1801 | std::cerr << "failed to setup operation #16" << std::endl; |
| 1802 | return ExecutionPlan(); |
| 1803 | } |
| 1804 | |
| 1805 | status = xnn_setup_convolution2d_nhwc_f32( |
| 1806 | op17, |
| 1807 | 1 /* batch size */, 28 /* input height */, 28 /* input width */, |
| 1808 | &v17[0] /* input */, &v18[0] /* output */, |
| 1809 | threadpool /* threadpool */); |
| 1810 | if (status != xnn_status_success) { |
| 1811 | std::cerr << "failed to setup operation #17" << std::endl; |
| 1812 | return ExecutionPlan(); |
| 1813 | } |
| 1814 | |
| 1815 | status = xnn_setup_convolution2d_nhwc_f32( |
| 1816 | op18, |
| 1817 | 1 /* batch size */, 28 /* input height */, 28 /* input width */, |
| 1818 | &v18[0] /* input */, &v19[0] /* output */, |
| 1819 | threadpool /* threadpool */); |
| 1820 | if (status != xnn_status_success) { |
| 1821 | std::cerr << "failed to setup operation #18" << std::endl; |
| 1822 | return ExecutionPlan(); |
| 1823 | } |
| 1824 | |
| 1825 | status = xnn_setup_convolution2d_nhwc_f32( |
| 1826 | op19, |
| 1827 | 1 /* batch size */, 28 /* input height */, 28 /* input width */, |
| 1828 | &v19[0] /* input */, &v20[0] /* output */, |
| 1829 | threadpool /* threadpool */); |
| 1830 | if (status != xnn_status_success) { |
| 1831 | std::cerr << "failed to setup operation #19" << std::endl; |
| 1832 | return ExecutionPlan(); |
| 1833 | } |
| 1834 | |
| 1835 | status = xnn_setup_add_nc_f32( |
| 1836 | op20, |
| 1837 | 784 /* batch size */, |
| 1838 | &v20[0] /* a */, &v17[0] /* b */, &v21[0] /* sum */, |
| 1839 | threadpool /* threadpool */); |
| 1840 | if (status != xnn_status_success) { |
| 1841 | std::cerr << "failed to setup operation #20" << std::endl; |
| 1842 | return ExecutionPlan(); |
| 1843 | } |
| 1844 | |
| 1845 | status = xnn_setup_convolution2d_nhwc_f32( |
| 1846 | op21, |
| 1847 | 1 /* batch size */, 28 /* input height */, 28 /* input width */, |
| 1848 | &v21[0] /* input */, &v22[0] /* output */, |
| 1849 | threadpool /* threadpool */); |
| 1850 | if (status != xnn_status_success) { |
| 1851 | std::cerr << "failed to setup operation #21" << std::endl; |
| 1852 | return ExecutionPlan(); |
| 1853 | } |
| 1854 | |
| 1855 | status = xnn_setup_convolution2d_nhwc_f32( |
| 1856 | op22, |
| 1857 | 1 /* batch size */, 28 /* input height */, 28 /* input width */, |
| 1858 | &v22[0] /* input */, &v23[0] /* output */, |
| 1859 | threadpool /* threadpool */); |
| 1860 | if (status != xnn_status_success) { |
| 1861 | std::cerr << "failed to setup operation #22" << std::endl; |
| 1862 | return ExecutionPlan(); |
| 1863 | } |
| 1864 | |
| 1865 | status = xnn_setup_convolution2d_nhwc_f32( |
| 1866 | op23, |
| 1867 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 1868 | &v23[0] /* input */, &v24[0] /* output */, |
| 1869 | threadpool /* threadpool */); |
| 1870 | if (status != xnn_status_success) { |
| 1871 | std::cerr << "failed to setup operation #23" << std::endl; |
| 1872 | return ExecutionPlan(); |
| 1873 | } |
| 1874 | |
| 1875 | status = xnn_setup_convolution2d_nhwc_f32( |
| 1876 | op24, |
| 1877 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 1878 | &v24[0] /* input */, &v25[0] /* output */, |
| 1879 | threadpool /* threadpool */); |
| 1880 | if (status != xnn_status_success) { |
| 1881 | std::cerr << "failed to setup operation #24" << std::endl; |
| 1882 | return ExecutionPlan(); |
| 1883 | } |
| 1884 | |
| 1885 | status = xnn_setup_convolution2d_nhwc_f32( |
| 1886 | op25, |
| 1887 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 1888 | &v25[0] /* input */, &v26[0] /* output */, |
| 1889 | threadpool /* threadpool */); |
| 1890 | if (status != xnn_status_success) { |
| 1891 | std::cerr << "failed to setup operation #25" << std::endl; |
| 1892 | return ExecutionPlan(); |
| 1893 | } |
| 1894 | |
| 1895 | status = xnn_setup_convolution2d_nhwc_f32( |
| 1896 | op26, |
| 1897 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 1898 | &v26[0] /* input */, &v27[0] /* output */, |
| 1899 | threadpool /* threadpool */); |
| 1900 | if (status != xnn_status_success) { |
| 1901 | std::cerr << "failed to setup operation #26" << std::endl; |
| 1902 | return ExecutionPlan(); |
| 1903 | } |
| 1904 | |
| 1905 | status = xnn_setup_add_nc_f32( |
| 1906 | op27, |
| 1907 | 196 /* batch size */, |
| 1908 | &v27[0] /* a */, &v24[0] /* b */, &v28[0] /* sum */, |
| 1909 | threadpool /* threadpool */); |
| 1910 | if (status != xnn_status_success) { |
| 1911 | std::cerr << "failed to setup operation #27" << std::endl; |
| 1912 | return ExecutionPlan(); |
| 1913 | } |
| 1914 | |
| 1915 | status = xnn_setup_convolution2d_nhwc_f32( |
| 1916 | op28, |
| 1917 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 1918 | &v28[0] /* input */, &v29[0] /* output */, |
| 1919 | threadpool /* threadpool */); |
| 1920 | if (status != xnn_status_success) { |
| 1921 | std::cerr << "failed to setup operation #28" << std::endl; |
| 1922 | return ExecutionPlan(); |
| 1923 | } |
| 1924 | |
| 1925 | status = xnn_setup_convolution2d_nhwc_f32( |
| 1926 | op29, |
| 1927 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 1928 | &v29[0] /* input */, &v30[0] /* output */, |
| 1929 | threadpool /* threadpool */); |
| 1930 | if (status != xnn_status_success) { |
| 1931 | std::cerr << "failed to setup operation #29" << std::endl; |
| 1932 | return ExecutionPlan(); |
| 1933 | } |
| 1934 | |
| 1935 | status = xnn_setup_convolution2d_nhwc_f32( |
| 1936 | op30, |
| 1937 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 1938 | &v30[0] /* input */, &v31[0] /* output */, |
| 1939 | threadpool /* threadpool */); |
| 1940 | if (status != xnn_status_success) { |
| 1941 | std::cerr << "failed to setup operation #30" << std::endl; |
| 1942 | return ExecutionPlan(); |
| 1943 | } |
| 1944 | |
| 1945 | status = xnn_setup_add_nc_f32( |
| 1946 | op31, |
| 1947 | 196 /* batch size */, |
| 1948 | &v31[0] /* a */, &v28[0] /* b */, &v32[0] /* sum */, |
| 1949 | threadpool /* threadpool */); |
| 1950 | if (status != xnn_status_success) { |
| 1951 | std::cerr << "failed to setup operation #31" << std::endl; |
| 1952 | return ExecutionPlan(); |
| 1953 | } |
| 1954 | |
| 1955 | status = xnn_setup_convolution2d_nhwc_f32( |
| 1956 | op32, |
| 1957 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 1958 | &v32[0] /* input */, &v33[0] /* output */, |
| 1959 | threadpool /* threadpool */); |
| 1960 | if (status != xnn_status_success) { |
| 1961 | std::cerr << "failed to setup operation #32" << std::endl; |
| 1962 | return ExecutionPlan(); |
| 1963 | } |
| 1964 | |
| 1965 | status = xnn_setup_convolution2d_nhwc_f32( |
| 1966 | op33, |
| 1967 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 1968 | &v33[0] /* input */, &v34[0] /* output */, |
| 1969 | threadpool /* threadpool */); |
| 1970 | if (status != xnn_status_success) { |
| 1971 | std::cerr << "failed to setup operation #33" << std::endl; |
| 1972 | return ExecutionPlan(); |
| 1973 | } |
| 1974 | |
| 1975 | status = xnn_setup_convolution2d_nhwc_f32( |
| 1976 | op34, |
| 1977 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 1978 | &v34[0] /* input */, &v35[0] /* output */, |
| 1979 | threadpool /* threadpool */); |
| 1980 | if (status != xnn_status_success) { |
| 1981 | std::cerr << "failed to setup operation #34" << std::endl; |
| 1982 | return ExecutionPlan(); |
| 1983 | } |
| 1984 | |
| 1985 | status = xnn_setup_add_nc_f32( |
| 1986 | op35, |
| 1987 | 196 /* batch size */, |
| 1988 | &v35[0] /* a */, &v32[0] /* b */, &v36[0] /* sum */, |
| 1989 | threadpool /* threadpool */); |
| 1990 | if (status != xnn_status_success) { |
| 1991 | std::cerr << "failed to setup operation #35" << std::endl; |
| 1992 | return ExecutionPlan(); |
| 1993 | } |
| 1994 | |
| 1995 | status = xnn_setup_convolution2d_nhwc_f32( |
| 1996 | op36, |
| 1997 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 1998 | &v36[0] /* input */, &v37[0] /* output */, |
| 1999 | threadpool /* threadpool */); |
| 2000 | if (status != xnn_status_success) { |
| 2001 | std::cerr << "failed to setup operation #36" << std::endl; |
| 2002 | return ExecutionPlan(); |
| 2003 | } |
| 2004 | |
| 2005 | status = xnn_setup_convolution2d_nhwc_f32( |
| 2006 | op37, |
| 2007 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2008 | &v37[0] /* input */, &v38[0] /* output */, |
| 2009 | threadpool /* threadpool */); |
| 2010 | if (status != xnn_status_success) { |
| 2011 | std::cerr << "failed to setup operation #37" << std::endl; |
| 2012 | return ExecutionPlan(); |
| 2013 | } |
| 2014 | |
| 2015 | status = xnn_setup_convolution2d_nhwc_f32( |
| 2016 | op38, |
| 2017 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2018 | &v38[0] /* input */, &v39[0] /* output */, |
| 2019 | threadpool /* threadpool */); |
| 2020 | if (status != xnn_status_success) { |
| 2021 | std::cerr << "failed to setup operation #38" << std::endl; |
| 2022 | return ExecutionPlan(); |
| 2023 | } |
| 2024 | |
| 2025 | status = xnn_setup_convolution2d_nhwc_f32( |
| 2026 | op39, |
| 2027 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2028 | &v39[0] /* input */, &v40[0] /* output */, |
| 2029 | threadpool /* threadpool */); |
| 2030 | if (status != xnn_status_success) { |
| 2031 | std::cerr << "failed to setup operation #39" << std::endl; |
| 2032 | return ExecutionPlan(); |
| 2033 | } |
| 2034 | |
| 2035 | status = xnn_setup_convolution2d_nhwc_f32( |
| 2036 | op40, |
| 2037 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2038 | &v40[0] /* input */, &v41[0] /* output */, |
| 2039 | threadpool /* threadpool */); |
| 2040 | if (status != xnn_status_success) { |
| 2041 | std::cerr << "failed to setup operation #40" << std::endl; |
| 2042 | return ExecutionPlan(); |
| 2043 | } |
| 2044 | |
| 2045 | status = xnn_setup_convolution2d_nhwc_f32( |
| 2046 | op41, |
| 2047 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2048 | &v41[0] /* input */, &v42[0] /* output */, |
| 2049 | threadpool /* threadpool */); |
| 2050 | if (status != xnn_status_success) { |
| 2051 | std::cerr << "failed to setup operation #41" << std::endl; |
| 2052 | return ExecutionPlan(); |
| 2053 | } |
| 2054 | |
| 2055 | status = xnn_setup_add_nc_f32( |
| 2056 | op42, |
| 2057 | 196 /* batch size */, |
| 2058 | &v42[0] /* a */, &v39[0] /* b */, &v43[0] /* sum */, |
| 2059 | threadpool /* threadpool */); |
| 2060 | if (status != xnn_status_success) { |
| 2061 | std::cerr << "failed to setup operation #42" << std::endl; |
| 2062 | return ExecutionPlan(); |
| 2063 | } |
| 2064 | |
| 2065 | status = xnn_setup_convolution2d_nhwc_f32( |
| 2066 | op43, |
| 2067 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2068 | &v43[0] /* input */, &v44[0] /* output */, |
| 2069 | threadpool /* threadpool */); |
| 2070 | if (status != xnn_status_success) { |
| 2071 | std::cerr << "failed to setup operation #43" << std::endl; |
| 2072 | return ExecutionPlan(); |
| 2073 | } |
| 2074 | |
| 2075 | status = xnn_setup_convolution2d_nhwc_f32( |
| 2076 | op44, |
| 2077 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2078 | &v44[0] /* input */, &v45[0] /* output */, |
| 2079 | threadpool /* threadpool */); |
| 2080 | if (status != xnn_status_success) { |
| 2081 | std::cerr << "failed to setup operation #44" << std::endl; |
| 2082 | return ExecutionPlan(); |
| 2083 | } |
| 2084 | |
| 2085 | status = xnn_setup_convolution2d_nhwc_f32( |
| 2086 | op45, |
| 2087 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2088 | &v45[0] /* input */, &v46[0] /* output */, |
| 2089 | threadpool /* threadpool */); |
| 2090 | if (status != xnn_status_success) { |
| 2091 | std::cerr << "failed to setup operation #45" << std::endl; |
| 2092 | return ExecutionPlan(); |
| 2093 | } |
| 2094 | |
| 2095 | status = xnn_setup_add_nc_f32( |
| 2096 | op46, |
| 2097 | 196 /* batch size */, |
| 2098 | &v46[0] /* a */, &v43[0] /* b */, &v47[0] /* sum */, |
| 2099 | threadpool /* threadpool */); |
| 2100 | if (status != xnn_status_success) { |
| 2101 | std::cerr << "failed to setup operation #46" << std::endl; |
| 2102 | return ExecutionPlan(); |
| 2103 | } |
| 2104 | |
| 2105 | status = xnn_setup_convolution2d_nhwc_f32( |
| 2106 | op47, |
| 2107 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2108 | &v47[0] /* input */, &v48[0] /* output */, |
| 2109 | threadpool /* threadpool */); |
| 2110 | if (status != xnn_status_success) { |
| 2111 | std::cerr << "failed to setup operation #47" << std::endl; |
| 2112 | return ExecutionPlan(); |
| 2113 | } |
| 2114 | |
| 2115 | status = xnn_setup_convolution2d_nhwc_f32( |
| 2116 | op48, |
| 2117 | 1 /* batch size */, 14 /* input height */, 14 /* input width */, |
| 2118 | &v48[0] /* input */, &v49[0] /* output */, |
| 2119 | threadpool /* threadpool */); |
| 2120 | if (status != xnn_status_success) { |
| 2121 | std::cerr << "failed to setup operation #48" << std::endl; |
| 2122 | return ExecutionPlan(); |
| 2123 | } |
| 2124 | |
| 2125 | status = xnn_setup_convolution2d_nhwc_f32( |
| 2126 | op49, |
| 2127 | 1 /* batch size */, 7 /* input height */, 7 /* input width */, |
| 2128 | &v49[0] /* input */, &v50[0] /* output */, |
| 2129 | threadpool /* threadpool */); |
| 2130 | if (status != xnn_status_success) { |
| 2131 | std::cerr << "failed to setup operation #49" << std::endl; |
| 2132 | return ExecutionPlan(); |
| 2133 | } |
| 2134 | |
| 2135 | status = xnn_setup_convolution2d_nhwc_f32( |
| 2136 | op50, |
| 2137 | 1 /* batch size */, 7 /* input height */, 7 /* input width */, |
| 2138 | &v50[0] /* input */, &v51[0] /* output */, |
| 2139 | threadpool /* threadpool */); |
| 2140 | if (status != xnn_status_success) { |
| 2141 | std::cerr << "failed to setup operation #50" << std::endl; |
| 2142 | return ExecutionPlan(); |
| 2143 | } |
| 2144 | |
| 2145 | status = xnn_setup_convolution2d_nhwc_f32( |
| 2146 | op51, |
| 2147 | 1 /* batch size */, 7 /* input height */, 7 /* input width */, |
| 2148 | &v51[0] /* input */, &v52[0] /* output */, |
| 2149 | threadpool /* threadpool */); |
| 2150 | if (status != xnn_status_success) { |
| 2151 | std::cerr << "failed to setup operation #51" << std::endl; |
| 2152 | return ExecutionPlan(); |
| 2153 | } |
| 2154 | |
| 2155 | status = xnn_setup_convolution2d_nhwc_f32( |
| 2156 | op52, |
| 2157 | 1 /* batch size */, 7 /* input height */, 7 /* input width */, |
| 2158 | &v52[0] /* input */, &v53[0] /* output */, |
| 2159 | threadpool /* threadpool */); |
| 2160 | if (status != xnn_status_success) { |
| 2161 | std::cerr << "failed to setup operation #52" << std::endl; |
| 2162 | return ExecutionPlan(); |
| 2163 | } |
| 2164 | |
| 2165 | status = xnn_setup_add_nc_f32( |
| 2166 | op53, |
| 2167 | 49 /* batch size */, |
| 2168 | &v53[0] /* a */, &v50[0] /* b */, &v54[0] /* sum */, |
| 2169 | threadpool /* threadpool */); |
| 2170 | if (status != xnn_status_success) { |
| 2171 | std::cerr << "failed to setup operation #53" << std::endl; |
| 2172 | return ExecutionPlan(); |
| 2173 | } |
| 2174 | |
| 2175 | status = xnn_setup_convolution2d_nhwc_f32( |
| 2176 | op54, |
| 2177 | 1 /* batch size */, 7 /* input height */, 7 /* input width */, |
| 2178 | &v54[0] /* input */, &v55[0] /* output */, |
| 2179 | threadpool /* threadpool */); |
| 2180 | if (status != xnn_status_success) { |
| 2181 | std::cerr << "failed to setup operation #54" << std::endl; |
| 2182 | return ExecutionPlan(); |
| 2183 | } |
| 2184 | |
| 2185 | status = xnn_setup_convolution2d_nhwc_f32( |
| 2186 | op55, |
| 2187 | 1 /* batch size */, 7 /* input height */, 7 /* input width */, |
| 2188 | &v55[0] /* input */, &v56[0] /* output */, |
| 2189 | threadpool /* threadpool */); |
| 2190 | if (status != xnn_status_success) { |
| 2191 | std::cerr << "failed to setup operation #55" << std::endl; |
| 2192 | return ExecutionPlan(); |
| 2193 | } |
| 2194 | |
| 2195 | status = xnn_setup_convolution2d_nhwc_f32( |
| 2196 | op56, |
| 2197 | 1 /* batch size */, 7 /* input height */, 7 /* input width */, |
| 2198 | &v56[0] /* input */, &v57[0] /* output */, |
| 2199 | threadpool /* threadpool */); |
| 2200 | if (status != xnn_status_success) { |
| 2201 | std::cerr << "failed to setup operation #56" << std::endl; |
| 2202 | return ExecutionPlan(); |
| 2203 | } |
| 2204 | |
| 2205 | status = xnn_setup_add_nc_f32( |
| 2206 | op57, |
| 2207 | 49 /* batch size */, |
| 2208 | &v57[0] /* a */, &v54[0] /* b */, &v58[0] /* sum */, |
| 2209 | threadpool /* threadpool */); |
| 2210 | if (status != xnn_status_success) { |
| 2211 | std::cerr << "failed to setup operation #57" << std::endl; |
| 2212 | return ExecutionPlan(); |
| 2213 | } |
| 2214 | |
| 2215 | status = xnn_setup_convolution2d_nhwc_f32( |
| 2216 | op58, |
| 2217 | 1 /* batch size */, 7 /* input height */, 7 /* input width */, |
| 2218 | &v58[0] /* input */, &v59[0] /* output */, |
| 2219 | threadpool /* threadpool */); |
| 2220 | if (status != xnn_status_success) { |
| 2221 | std::cerr << "failed to setup operation #58" << std::endl; |
| 2222 | return ExecutionPlan(); |
| 2223 | } |
| 2224 | |
| 2225 | status = xnn_setup_convolution2d_nhwc_f32( |
| 2226 | op59, |
| 2227 | 1 /* batch size */, 7 /* input height */, 7 /* input width */, |
| 2228 | &v59[0] /* input */, &v60[0] /* output */, |
| 2229 | threadpool /* threadpool */); |
| 2230 | if (status != xnn_status_success) { |
| 2231 | std::cerr << "failed to setup operation #59" << std::endl; |
| 2232 | return ExecutionPlan(); |
| 2233 | } |
| 2234 | |
| 2235 | status = xnn_setup_convolution2d_nhwc_f32( |
| 2236 | op60, |
| 2237 | 1 /* batch size */, 7 /* input height */, 7 /* input width */, |
| 2238 | &v60[0] /* input */, &v61[0] /* output */, |
| 2239 | threadpool /* threadpool */); |
| 2240 | if (status != xnn_status_success) { |
| 2241 | std::cerr << "failed to setup operation #60" << std::endl; |
| 2242 | return ExecutionPlan(); |
| 2243 | } |
| 2244 | |
| 2245 | status = xnn_setup_convolution2d_nhwc_f32( |
| 2246 | op61, |
| 2247 | 1 /* batch size */, 7 /* input height */, 7 /* input width */, |
| 2248 | &v61[0] /* input */, &v62[0] /* output */, |
| 2249 | threadpool /* threadpool */); |
| 2250 | if (status != xnn_status_success) { |
| 2251 | std::cerr << "failed to setup operation #61" << std::endl; |
| 2252 | return ExecutionPlan(); |
| 2253 | } |
| 2254 | |
| 2255 | status = xnn_setup_global_average_pooling_nwc_f32( |
| 2256 | op62, |
| 2257 | 1 /* batch size */, 49 /* width */, |
| 2258 | &v62[0] /* input */, &v63[0] /* output */, |
| 2259 | threadpool /* threadpool */); |
| 2260 | if (status != xnn_status_success) { |
| 2261 | std::cerr << "failed to setup operation #62" << std::endl; |
| 2262 | return ExecutionPlan(); |
| 2263 | } |
| 2264 | |
| 2265 | status = xnn_setup_convolution2d_nhwc_f32( |
| 2266 | op63, |
| 2267 | 1 /* batch size */, 1 /* input height */, 1 /* input width */, |
| 2268 | &v63[0] /* input */, &v64[0] /* output */, |
| 2269 | threadpool /* threadpool */); |
| 2270 | if (status != xnn_status_success) { |
| 2271 | std::cerr << "failed to setup operation #63" << std::endl; |
| 2272 | return ExecutionPlan(); |
| 2273 | } |
| 2274 | |
| 2275 | #pragma clang diagnostic push |
| 2276 | #pragma clang diagnostic ignored "-Wpessimizing-move" |
| 2277 | return operators; |
| 2278 | #pragma clang diagnostic pop |
| 2279 | } |
| 2280 | |
| 2281 | } // namespace models |