features
BaseFeaturesHook
¶
Bases: BaseHook
This hook:
- Checks to see if specific tensors are in the context
- Exits if the tensors are already in the context
- Otherwise computes those tensors using the appropriate inputs and models, and adds them to the context.
Source code in pytorch_adapt\hooks\features.py
11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 |
|
__init__(model_name, in_suffixes=None, out_suffixes=None, domains=None, detach=False, **kwargs)
¶
Parameters:
Name | Type | Description | Default |
---|---|---|---|
model_name |
str
|
The name of the model that will be used to compute any missing tensors. |
required |
in_suffixes |
List[str]
|
The suffixes of the names of the inputs to the model. For example if:
then the model will be given
|
None
|
out_suffixes |
List[str]
|
The suffixes of the names of the outputs of the model. Output suffixes are appended to the input name. For example, if
then the output keys will be
|
None
|
domains |
List[str]
|
The names of the domains to use. If |
None
|
detach |
bool
|
If |
False
|
Source code in pytorch_adapt\hooks\features.py
21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 |
|
CombinedFeaturesHook
¶
Bases: BaseFeaturesHook
Default input/output context names:
- Model:
"feature_combiner"
- Inputs:
["src_imgs_features", "src_imgs_features_logits", "target_imgs_features", "target_imgs_features_logits"]
- Outputs:
["src_imgs_features_AND_src_imgs_features_logits_combined", "target_imgs_features_AND_target_imgs_features_logits_combined"]
Source code in pytorch_adapt\hooks\features.py
395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 |
|
DLogitsHook
¶
Bases: BaseFeaturesHook
Default input/output context names:
- Model:
"D"
- Inputs:
["src_imgs_features", "target_imgs_features"]
- Outputs:
["src_imgs_features_dlogits", "target_imgs_features_dlogits"]
Source code in pytorch_adapt\hooks\features.py
432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 |
|
FeaturesAndLogitsHook
¶
Bases: FeaturesChainHook
Chains together FeaturesHook
and LogitsHook
.
Source code in pytorch_adapt\hooks\features.py
321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 |
|
__init__(domains=None, detach_features=False, detach_logits=False, other_hooks=None, **kwargs)
¶
Parameters:
Name | Type | Description | Default |
---|---|---|---|
domains |
List[str]
|
The domains used by both the features and logits hooks.
If |
None
|
detach_features |
bool
|
If |
False
|
detach_logits |
bool
|
If |
False
|
other_hooks |
List[BaseHook]
|
A list of hooks that will be called after the features and logits hooks. |
None
|
Source code in pytorch_adapt\hooks\features.py
327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 |
|
FeaturesChainHook
¶
Bases: ChainHook
A special ChainHook
for features hooks. It sets each sub-hook's in_keys
using
the previous sub-hook's out_keys
.
Source code in pytorch_adapt\hooks\features.py
304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 |
|
FeaturesHook
¶
Bases: BaseFeaturesHook
Default input/output context names:
- Model:
"G"
- Inputs:
["src_imgs", "target_imgs"]
- Outputs:
["src_imgs_features", "target_imgs_features"]
Source code in pytorch_adapt\hooks\features.py
236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 |
|
FeaturesWithGradAndDetachedHook
¶
Bases: BaseWrapperHook
Default input/output context names:
- Model:
"G"
- Inputs:
["src_imgs", "target_imgs"]
- Outputs:
["src_imgs_features", "target_imgs_features", "src_imgs_features_detached", "target_imgs_features_detached"]
Source code in pytorch_adapt\hooks\features.py
352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 |
|
FrozenModelHook
¶
Bases: BaseWrapperHook
Sets model to eval()
mode, and does all
computations with gradients turned off.
Source code in pytorch_adapt\hooks\features.py
466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 |
|
__init__(hook, model_name, **kwargs)
¶
Parameters:
Name | Type | Description | Default |
---|---|---|---|
hook |
BaseHook
|
The wrapped hook which computes all losses and outputs. |
required |
model_name |
str
|
The name of the model that will be set to eval() mode. |
required |
Source code in pytorch_adapt\hooks\features.py
472 473 474 475 476 477 478 479 480 481 |
|
LogitsHook
¶
Bases: BaseFeaturesHook
Default input/output context names:
- Model:
"C"
- Inputs:
["src_imgs_features", "target_imgs_features"]
- Outputs:
["src_imgs_features_logits", "target_imgs_features_logits"]
Source code in pytorch_adapt\hooks\features.py
270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 |
|