How to use requires method in Slash

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dummy_pt_objects.py

Source:dummy_pt_objects.py

1# This file is autogenerated by the command `make fix-copies`, do not edit.2from ..file_utils import requires_pytorch3class PyTorchBenchmark:4 def __init__(self, *args, **kwargs):5 requires_pytorch(self)6class PyTorchBenchmarkArguments:7 def __init__(self, *args, **kwargs):8 requires_pytorch(self)9class DataCollator:10 def __init__(self, *args, **kwargs):11 requires_pytorch(self)12class DataCollatorForLanguageModeling:13 def __init__(self, *args, **kwargs):14 requires_pytorch(self)15 @classmethod16 def from_pretrained(self, *args, **kwargs):17 requires_pytorch(self)18class DataCollatorForPermutationLanguageModeling:19 def __init__(self, *args, **kwargs):20 requires_pytorch(self)21 @classmethod22 def from_pretrained(self, *args, **kwargs):23 requires_pytorch(self)24class DataCollatorForSeq2Seq:25 def __init__(self, *args, **kwargs):26 requires_pytorch(self)27class DataCollatorForSOP:28 def __init__(self, *args, **kwargs):29 requires_pytorch(self)30class DataCollatorForTokenClassification:31 def __init__(self, *args, **kwargs):32 requires_pytorch(self)33 @classmethod34 def from_pretrained(self, *args, **kwargs):35 requires_pytorch(self)36class DataCollatorForWholeWordMask:37 def __init__(self, *args, **kwargs):38 requires_pytorch(self)39class DataCollatorWithPadding:40 def __init__(self, *args, **kwargs):41 requires_pytorch(self)42def default_data_collator(*args, **kwargs):43 requires_pytorch(default_data_collator)44class GlueDataset:45 def __init__(self, *args, **kwargs):46 requires_pytorch(self)47class GlueDataTrainingArguments:48 def __init__(self, *args, **kwargs):49 requires_pytorch(self)50class LineByLineTextDataset:51 def __init__(self, *args, **kwargs):52 requires_pytorch(self)53class LineByLineWithRefDataset:54 def __init__(self, *args, **kwargs):55 requires_pytorch(self)56class LineByLineWithSOPTextDataset:57 def __init__(self, *args, **kwargs):58 requires_pytorch(self)59class SquadDataset:60 def __init__(self, *args, **kwargs):61 requires_pytorch(self)62class SquadDataTrainingArguments:63 def __init__(self, *args, **kwargs):64 requires_pytorch(self)65class TextDataset:66 def __init__(self, *args, **kwargs):67 requires_pytorch(self)68class TextDatasetForNextSentencePrediction:69 def __init__(self, *args, **kwargs):70 requires_pytorch(self)71class BeamScorer:72 def __init__(self, *args, **kwargs):73 requires_pytorch(self)74class BeamSearchScorer:75 def __init__(self, *args, **kwargs):76 requires_pytorch(self)77class ForcedBOSTokenLogitsProcessor:78 def __init__(self, *args, **kwargs):79 requires_pytorch(self)80class ForcedEOSTokenLogitsProcessor:81 def __init__(self, *args, **kwargs):82 requires_pytorch(self)83class HammingDiversityLogitsProcessor:84 def __init__(self, *args, **kwargs):85 requires_pytorch(self)86class InfNanRemoveLogitsProcessor:87 def __init__(self, *args, **kwargs):88 requires_pytorch(self)89class LogitsProcessor:90 def __init__(self, *args, **kwargs):91 requires_pytorch(self)92class LogitsProcessorList:93 def __init__(self, *args, **kwargs):94 requires_pytorch(self)95class LogitsWarper:96 def __init__(self, *args, **kwargs):97 requires_pytorch(self)98class MinLengthLogitsProcessor:99 def __init__(self, *args, **kwargs):100 requires_pytorch(self)101class NoBadWordsLogitsProcessor:102 def __init__(self, *args, **kwargs):103 requires_pytorch(self)104class NoRepeatNGramLogitsProcessor:105 def __init__(self, *args, **kwargs):106 requires_pytorch(self)107class PrefixConstrainedLogitsProcessor:108 def __init__(self, *args, **kwargs):109 requires_pytorch(self)110class RepetitionPenaltyLogitsProcessor:111 def __init__(self, *args, **kwargs):112 requires_pytorch(self)113class TemperatureLogitsWarper:114 def __init__(self, *args, **kwargs):115 requires_pytorch(self)116class TopKLogitsWarper:117 def __init__(self, *args, **kwargs):118 requires_pytorch(self)119class TopPLogitsWarper:120 def __init__(self, *args, **kwargs):121 requires_pytorch(self)122class MaxLengthCriteria:123 def __init__(self, *args, **kwargs):124 requires_pytorch(self)125class MaxTimeCriteria:126 def __init__(self, *args, **kwargs):127 requires_pytorch(self)128class StoppingCriteria:129 def __init__(self, *args, **kwargs):130 requires_pytorch(self)131class StoppingCriteriaList:132 def __init__(self, *args, **kwargs):133 requires_pytorch(self)134def top_k_top_p_filtering(*args, **kwargs):135 requires_pytorch(top_k_top_p_filtering)136class Conv1D:137 def __init__(self, *args, **kwargs):138 requires_pytorch(self)139class PreTrainedModel:140 def __init__(self, *args, **kwargs):141 requires_pytorch(self)142 @classmethod143 def from_pretrained(self, *args, **kwargs):144 requires_pytorch(self)145def apply_chunking_to_forward(*args, **kwargs):146 requires_pytorch(apply_chunking_to_forward)147def prune_layer(*args, **kwargs):148 requires_pytorch(prune_layer)149ALBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None150class AlbertForMaskedLM:151 def __init__(self, *args, **kwargs):152 requires_pytorch(self)153 @classmethod154 def from_pretrained(self, *args, **kwargs):155 requires_pytorch(self)156class AlbertForMultipleChoice:157 def __init__(self, *args, **kwargs):158 requires_pytorch(self)159 @classmethod160 def from_pretrained(self, *args, **kwargs):161 requires_pytorch(self)162class AlbertForPreTraining:163 def __init__(self, *args, **kwargs):164 requires_pytorch(self)165class AlbertForQuestionAnswering:166 def __init__(self, *args, **kwargs):167 requires_pytorch(self)168 @classmethod169 def from_pretrained(self, *args, **kwargs):170 requires_pytorch(self)171class AlbertForSequenceClassification:172 def __init__(self, *args, **kwargs):173 requires_pytorch(self)174 @classmethod175 def from_pretrained(self, *args, **kwargs):176 requires_pytorch(self)177class AlbertForTokenClassification:178 def __init__(self, *args, **kwargs):179 requires_pytorch(self)180 @classmethod181 def from_pretrained(self, *args, **kwargs):182 requires_pytorch(self)183class AlbertModel:184 def __init__(self, *args, **kwargs):185 requires_pytorch(self)186 @classmethod187 def from_pretrained(self, *args, **kwargs):188 requires_pytorch(self)189class AlbertPreTrainedModel:190 def __init__(self, *args, **kwargs):191 requires_pytorch(self)192 @classmethod193 def from_pretrained(self, *args, **kwargs):194 requires_pytorch(self)195def load_tf_weights_in_albert(*args, **kwargs):196 requires_pytorch(load_tf_weights_in_albert)197MODEL_FOR_CAUSAL_LM_MAPPING = None198MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING = None199MODEL_FOR_MASKED_LM_MAPPING = None200MODEL_FOR_MULTIPLE_CHOICE_MAPPING = None201MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING = None202MODEL_FOR_PRETRAINING_MAPPING = None203MODEL_FOR_QUESTION_ANSWERING_MAPPING = None204MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING = None205MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING = None206MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING = None207MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING = None208MODEL_MAPPING = None209MODEL_WITH_LM_HEAD_MAPPING = None210class AutoModel:211 def __init__(self, *args, **kwargs):212 requires_pytorch(self)213 @classmethod214 def from_pretrained(self, *args, **kwargs):215 requires_pytorch(self)216class AutoModelForCausalLM:217 def __init__(self, *args, **kwargs):218 requires_pytorch(self)219 @classmethod220 def from_pretrained(self, *args, **kwargs):221 requires_pytorch(self)222class AutoModelForMaskedLM:223 def __init__(self, *args, **kwargs):224 requires_pytorch(self)225 @classmethod226 def from_pretrained(self, *args, **kwargs):227 requires_pytorch(self)228class AutoModelForMultipleChoice:229 def __init__(self, *args, **kwargs):230 requires_pytorch(self)231 @classmethod232 def from_pretrained(self, *args, **kwargs):233 requires_pytorch(self)234class AutoModelForNextSentencePrediction:235 def __init__(self, *args, **kwargs):236 requires_pytorch(self)237 @classmethod238 def from_pretrained(self, *args, **kwargs):239 requires_pytorch(self)240class AutoModelForPreTraining:241 def __init__(self, *args, **kwargs):242 requires_pytorch(self)243 @classmethod244 def from_pretrained(self, *args, **kwargs):245 requires_pytorch(self)246class AutoModelForQuestionAnswering:247 def __init__(self, *args, **kwargs):248 requires_pytorch(self)249 @classmethod250 def from_pretrained(self, *args, **kwargs):251 requires_pytorch(self)252class AutoModelForSeq2SeqLM:253 def __init__(self, *args, **kwargs):254 requires_pytorch(self)255 @classmethod256 def from_pretrained(self, *args, **kwargs):257 requires_pytorch(self)258class AutoModelForSequenceClassification:259 def __init__(self, *args, **kwargs):260 requires_pytorch(self)261 @classmethod262 def from_pretrained(self, *args, **kwargs):263 requires_pytorch(self)264class AutoModelForTableQuestionAnswering:265 def __init__(self, *args, **kwargs):266 requires_pytorch(self)267 @classmethod268 def from_pretrained(self, *args, **kwargs):269 requires_pytorch(self)270class AutoModelForTokenClassification:271 def __init__(self, *args, **kwargs):272 requires_pytorch(self)273 @classmethod274 def from_pretrained(self, *args, **kwargs):275 requires_pytorch(self)276class AutoModelWithLMHead:277 def __init__(self, *args, **kwargs):278 requires_pytorch(self)279 @classmethod280 def from_pretrained(self, *args, **kwargs):281 requires_pytorch(self)282BART_PRETRAINED_MODEL_ARCHIVE_LIST = None283class BartForCausalLM:284 def __init__(self, *args, **kwargs):285 requires_pytorch(self)286class BartForConditionalGeneration:287 def __init__(self, *args, **kwargs):288 requires_pytorch(self)289 @classmethod290 def from_pretrained(self, *args, **kwargs):291 requires_pytorch(self)292class BartForQuestionAnswering:293 def __init__(self, *args, **kwargs):294 requires_pytorch(self)295 @classmethod296 def from_pretrained(self, *args, **kwargs):297 requires_pytorch(self)298class BartForSequenceClassification:299 def __init__(self, *args, **kwargs):300 requires_pytorch(self)301 @classmethod302 def from_pretrained(self, *args, **kwargs):303 requires_pytorch(self)304class BartModel:305 def __init__(self, *args, **kwargs):306 requires_pytorch(self)307 @classmethod308 def from_pretrained(self, *args, **kwargs):309 requires_pytorch(self)310class BartPretrainedModel:311 def __init__(self, *args, **kwargs):312 requires_pytorch(self)313 @classmethod314 def from_pretrained(self, *args, **kwargs):315 requires_pytorch(self)316class PretrainedBartModel:317 def __init__(self, *args, **kwargs):318 requires_pytorch(self)319 @classmethod320 def from_pretrained(self, *args, **kwargs):321 requires_pytorch(self)322BERT_PRETRAINED_MODEL_ARCHIVE_LIST = None323class BertForMaskedLM:324 def __init__(self, *args, **kwargs):325 requires_pytorch(self)326 @classmethod327 def from_pretrained(self, *args, **kwargs):328 requires_pytorch(self)329class BertForMultipleChoice:330 def __init__(self, *args, **kwargs):331 requires_pytorch(self)332 @classmethod333 def from_pretrained(self, *args, **kwargs):334 requires_pytorch(self)335class BertForNextSentencePrediction:336 def __init__(self, *args, **kwargs):337 requires_pytorch(self)338class BertForPreTraining:339 def __init__(self, *args, **kwargs):340 requires_pytorch(self)341class BertForQuestionAnswering:342 def __init__(self, *args, **kwargs):343 requires_pytorch(self)344 @classmethod345 def from_pretrained(self, *args, **kwargs):346 requires_pytorch(self)347class BertForSequenceClassification:348 def __init__(self, *args, **kwargs):349 requires_pytorch(self)350 @classmethod351 def from_pretrained(self, *args, **kwargs):352 requires_pytorch(self)353class BertForTokenClassification:354 def __init__(self, *args, **kwargs):355 requires_pytorch(self)356 @classmethod357 def from_pretrained(self, *args, **kwargs):358 requires_pytorch(self)359class BertLayer:360 def __init__(self, *args, **kwargs):361 requires_pytorch(self)362class BertLMHeadModel:363 def __init__(self, *args, **kwargs):364 requires_pytorch(self)365 @classmethod366 def from_pretrained(self, *args, **kwargs):367 requires_pytorch(self)368class BertModel:369 def __init__(self, *args, **kwargs):370 requires_pytorch(self)371 @classmethod372 def from_pretrained(self, *args, **kwargs):373 requires_pytorch(self)374class BertPreTrainedModel:375 def __init__(self, *args, **kwargs):376 requires_pytorch(self)377 @classmethod378 def from_pretrained(self, *args, **kwargs):379 requires_pytorch(self)380def load_tf_weights_in_bert(*args, **kwargs):381 requires_pytorch(load_tf_weights_in_bert)382class BertGenerationDecoder:383 def __init__(self, *args, **kwargs):384 requires_pytorch(self)385class BertGenerationEncoder:386 def __init__(self, *args, **kwargs):387 requires_pytorch(self)388def load_tf_weights_in_bert_generation(*args, **kwargs):389 requires_pytorch(load_tf_weights_in_bert_generation)390BIG_BIRD_PRETRAINED_MODEL_ARCHIVE_LIST = None391class BigBirdForCausalLM:392 def __init__(self, *args, **kwargs):393 requires_pytorch(self)394class BigBirdForMaskedLM:395 def __init__(self, *args, **kwargs):396 requires_pytorch(self)397 @classmethod398 def from_pretrained(self, *args, **kwargs):399 requires_pytorch(self)400class BigBirdForMultipleChoice:401 def __init__(self, *args, **kwargs):402 requires_pytorch(self)403 @classmethod404 def from_pretrained(self, *args, **kwargs):405 requires_pytorch(self)406class BigBirdForPreTraining:407 def __init__(self, *args, **kwargs):408 requires_pytorch(self)409class BigBirdForQuestionAnswering:410 def __init__(self, *args, **kwargs):411 requires_pytorch(self)412 @classmethod413 def from_pretrained(self, *args, **kwargs):414 requires_pytorch(self)415class BigBirdForSequenceClassification:416 def __init__(self, *args, **kwargs):417 requires_pytorch(self)418 @classmethod419 def from_pretrained(self, *args, **kwargs):420 requires_pytorch(self)421class BigBirdForTokenClassification:422 def __init__(self, *args, **kwargs):423 requires_pytorch(self)424 @classmethod425 def from_pretrained(self, *args, **kwargs):426 requires_pytorch(self)427class BigBirdLayer:428 def __init__(self, *args, **kwargs):429 requires_pytorch(self)430class BigBirdModel:431 def __init__(self, *args, **kwargs):432 requires_pytorch(self)433 @classmethod434 def from_pretrained(self, *args, **kwargs):435 requires_pytorch(self)436class BigBirdPreTrainedModel:437 def __init__(self, *args, **kwargs):438 requires_pytorch(self)439 @classmethod440 def from_pretrained(self, *args, **kwargs):441 requires_pytorch(self)442def load_tf_weights_in_big_bird(*args, **kwargs):443 requires_pytorch(load_tf_weights_in_big_bird)444BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST = None445class BlenderbotForCausalLM:446 def __init__(self, *args, **kwargs):447 requires_pytorch(self)448class BlenderbotForConditionalGeneration:449 def __init__(self, *args, **kwargs):450 requires_pytorch(self)451 @classmethod452 def from_pretrained(self, *args, **kwargs):453 requires_pytorch(self)454class BlenderbotModel:455 def __init__(self, *args, **kwargs):456 requires_pytorch(self)457 @classmethod458 def from_pretrained(self, *args, **kwargs):459 requires_pytorch(self)460BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST = None461class BlenderbotSmallForCausalLM:462 def __init__(self, *args, **kwargs):463 requires_pytorch(self)464class BlenderbotSmallForConditionalGeneration:465 def __init__(self, *args, **kwargs):466 requires_pytorch(self)467 @classmethod468 def from_pretrained(self, *args, **kwargs):469 requires_pytorch(self)470class BlenderbotSmallModel:471 def __init__(self, *args, **kwargs):472 requires_pytorch(self)473 @classmethod474 def from_pretrained(self, *args, **kwargs):475 requires_pytorch(self)476CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None477class CamembertForCausalLM:478 def __init__(self, *args, **kwargs):479 requires_pytorch(self)480class CamembertForMaskedLM:481 def __init__(self, *args, **kwargs):482 requires_pytorch(self)483 @classmethod484 def from_pretrained(self, *args, **kwargs):485 requires_pytorch(self)486class CamembertForMultipleChoice:487 def __init__(self, *args, **kwargs):488 requires_pytorch(self)489 @classmethod490 def from_pretrained(self, *args, **kwargs):491 requires_pytorch(self)492class CamembertForQuestionAnswering:493 def __init__(self, *args, **kwargs):494 requires_pytorch(self)495 @classmethod496 def from_pretrained(self, *args, **kwargs):497 requires_pytorch(self)498class CamembertForSequenceClassification:499 def __init__(self, *args, **kwargs):500 requires_pytorch(self)501 @classmethod502 def from_pretrained(self, *args, **kwargs):503 requires_pytorch(self)504class CamembertForTokenClassification:505 def __init__(self, *args, **kwargs):506 requires_pytorch(self)507 @classmethod508 def from_pretrained(self, *args, **kwargs):509 requires_pytorch(self)510class CamembertModel:511 def __init__(self, *args, **kwargs):512 requires_pytorch(self)513 @classmethod514 def from_pretrained(self, *args, **kwargs):515 requires_pytorch(self)516CONVBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None517class ConvBertForMaskedLM:518 def __init__(self, *args, **kwargs):519 requires_pytorch(self)520 @classmethod521 def from_pretrained(self, *args, **kwargs):522 requires_pytorch(self)523class ConvBertForMultipleChoice:524 def __init__(self, *args, **kwargs):525 requires_pytorch(self)526 @classmethod527 def from_pretrained(self, *args, **kwargs):528 requires_pytorch(self)529class ConvBertForQuestionAnswering:530 def __init__(self, *args, **kwargs):531 requires_pytorch(self)532 @classmethod533 def from_pretrained(self, *args, **kwargs):534 requires_pytorch(self)535class ConvBertForSequenceClassification:536 def __init__(self, *args, **kwargs):537 requires_pytorch(self)538 @classmethod539 def from_pretrained(self, *args, **kwargs):540 requires_pytorch(self)541class ConvBertForTokenClassification:542 def __init__(self, *args, **kwargs):543 requires_pytorch(self)544 @classmethod545 def from_pretrained(self, *args, **kwargs):546 requires_pytorch(self)547class ConvBertLayer:548 def __init__(self, *args, **kwargs):549 requires_pytorch(self)550class ConvBertModel:551 def __init__(self, *args, **kwargs):552 requires_pytorch(self)553 @classmethod554 def from_pretrained(self, *args, **kwargs):555 requires_pytorch(self)556class ConvBertPreTrainedModel:557 def __init__(self, *args, **kwargs):558 requires_pytorch(self)559 @classmethod560 def from_pretrained(self, *args, **kwargs):561 requires_pytorch(self)562def load_tf_weights_in_convbert(*args, **kwargs):563 requires_pytorch(load_tf_weights_in_convbert)564CTRL_PRETRAINED_MODEL_ARCHIVE_LIST = None565class CTRLForSequenceClassification:566 def __init__(self, *args, **kwargs):567 requires_pytorch(self)568 @classmethod569 def from_pretrained(self, *args, **kwargs):570 requires_pytorch(self)571class CTRLLMHeadModel:572 def __init__(self, *args, **kwargs):573 requires_pytorch(self)574 @classmethod575 def from_pretrained(self, *args, **kwargs):576 requires_pytorch(self)577class CTRLModel:578 def __init__(self, *args, **kwargs):579 requires_pytorch(self)580 @classmethod581 def from_pretrained(self, *args, **kwargs):582 requires_pytorch(self)583class CTRLPreTrainedModel:584 def __init__(self, *args, **kwargs):585 requires_pytorch(self)586 @classmethod587 def from_pretrained(self, *args, **kwargs):588 requires_pytorch(self)589DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST = None590class DebertaForMaskedLM:591 def __init__(self, *args, **kwargs):592 requires_pytorch(self)593 @classmethod594 def from_pretrained(self, *args, **kwargs):595 requires_pytorch(self)596class DebertaForQuestionAnswering:597 def __init__(self, *args, **kwargs):598 requires_pytorch(self)599 @classmethod600 def from_pretrained(self, *args, **kwargs):601 requires_pytorch(self)602class DebertaForSequenceClassification:603 def __init__(self, *args, **kwargs):604 requires_pytorch(self)605 @classmethod606 def from_pretrained(self, *args, **kwargs):607 requires_pytorch(self)608class DebertaForTokenClassification:609 def __init__(self, *args, **kwargs):610 requires_pytorch(self)611 @classmethod612 def from_pretrained(self, *args, **kwargs):613 requires_pytorch(self)614class DebertaModel:615 def __init__(self, *args, **kwargs):616 requires_pytorch(self)617 @classmethod618 def from_pretrained(self, *args, **kwargs):619 requires_pytorch(self)620class DebertaPreTrainedModel:621 def __init__(self, *args, **kwargs):622 requires_pytorch(self)623 @classmethod624 def from_pretrained(self, *args, **kwargs):625 requires_pytorch(self)626DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST = None627class DebertaV2ForMaskedLM:628 def __init__(self, *args, **kwargs):629 requires_pytorch(self)630 @classmethod631 def from_pretrained(self, *args, **kwargs):632 requires_pytorch(self)633class DebertaV2ForQuestionAnswering:634 def __init__(self, *args, **kwargs):635 requires_pytorch(self)636 @classmethod637 def from_pretrained(self, *args, **kwargs):638 requires_pytorch(self)639class DebertaV2ForSequenceClassification:640 def __init__(self, *args, **kwargs):641 requires_pytorch(self)642 @classmethod643 def from_pretrained(self, *args, **kwargs):644 requires_pytorch(self)645class DebertaV2ForTokenClassification:646 def __init__(self, *args, **kwargs):647 requires_pytorch(self)648 @classmethod649 def from_pretrained(self, *args, **kwargs):650 requires_pytorch(self)651class DebertaV2Model:652 def __init__(self, *args, **kwargs):653 requires_pytorch(self)654 @classmethod655 def from_pretrained(self, *args, **kwargs):656 requires_pytorch(self)657class DebertaV2PreTrainedModel:658 def __init__(self, *args, **kwargs):659 requires_pytorch(self)660 @classmethod661 def from_pretrained(self, *args, **kwargs):662 requires_pytorch(self)663DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None664class DistilBertForMaskedLM:665 def __init__(self, *args, **kwargs):666 requires_pytorch(self)667 @classmethod668 def from_pretrained(self, *args, **kwargs):669 requires_pytorch(self)670class DistilBertForMultipleChoice:671 def __init__(self, *args, **kwargs):672 requires_pytorch(self)673 @classmethod674 def from_pretrained(self, *args, **kwargs):675 requires_pytorch(self)676class DistilBertForQuestionAnswering:677 def __init__(self, *args, **kwargs):678 requires_pytorch(self)679 @classmethod680 def from_pretrained(self, *args, **kwargs):681 requires_pytorch(self)682class DistilBertForSequenceClassification:683 def __init__(self, *args, **kwargs):684 requires_pytorch(self)685 @classmethod686 def from_pretrained(self, *args, **kwargs):687 requires_pytorch(self)688class DistilBertForTokenClassification:689 def __init__(self, *args, **kwargs):690 requires_pytorch(self)691 @classmethod692 def from_pretrained(self, *args, **kwargs):693 requires_pytorch(self)694class DistilBertModel:695 def __init__(self, *args, **kwargs):696 requires_pytorch(self)697 @classmethod698 def from_pretrained(self, *args, **kwargs):699 requires_pytorch(self)700class DistilBertPreTrainedModel:701 def __init__(self, *args, **kwargs):702 requires_pytorch(self)703 @classmethod704 def from_pretrained(self, *args, **kwargs):705 requires_pytorch(self)706DPR_CONTEXT_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST = None707DPR_QUESTION_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST = None708DPR_READER_PRETRAINED_MODEL_ARCHIVE_LIST = None709class DPRContextEncoder:710 def __init__(self, *args, **kwargs):711 requires_pytorch(self)712class DPRPretrainedContextEncoder:713 def __init__(self, *args, **kwargs):714 requires_pytorch(self)715class DPRPretrainedQuestionEncoder:716 def __init__(self, *args, **kwargs):717 requires_pytorch(self)718class DPRPretrainedReader:719 def __init__(self, *args, **kwargs):720 requires_pytorch(self)721class DPRQuestionEncoder:722 def __init__(self, *args, **kwargs):723 requires_pytorch(self)724class DPRReader:725 def __init__(self, *args, **kwargs):726 requires_pytorch(self)727ELECTRA_PRETRAINED_MODEL_ARCHIVE_LIST = None728class ElectraForMaskedLM:729 def __init__(self, *args, **kwargs):730 requires_pytorch(self)731 @classmethod732 def from_pretrained(self, *args, **kwargs):733 requires_pytorch(self)734class ElectraForMultipleChoice:735 def __init__(self, *args, **kwargs):736 requires_pytorch(self)737 @classmethod738 def from_pretrained(self, *args, **kwargs):739 requires_pytorch(self)740class ElectraForPreTraining:741 def __init__(self, *args, **kwargs):742 requires_pytorch(self)743class ElectraForQuestionAnswering:744 def __init__(self, *args, **kwargs):745 requires_pytorch(self)746 @classmethod747 def from_pretrained(self, *args, **kwargs):748 requires_pytorch(self)749class ElectraForSequenceClassification:750 def __init__(self, *args, **kwargs):751 requires_pytorch(self)752 @classmethod753 def from_pretrained(self, *args, **kwargs):754 requires_pytorch(self)755class ElectraForTokenClassification:756 def __init__(self, *args, **kwargs):757 requires_pytorch(self)758 @classmethod759 def from_pretrained(self, *args, **kwargs):760 requires_pytorch(self)761class ElectraModel:762 def __init__(self, *args, **kwargs):763 requires_pytorch(self)764 @classmethod765 def from_pretrained(self, *args, **kwargs):766 requires_pytorch(self)767class ElectraPreTrainedModel:768 def __init__(self, *args, **kwargs):769 requires_pytorch(self)770 @classmethod771 def from_pretrained(self, *args, **kwargs):772 requires_pytorch(self)773def load_tf_weights_in_electra(*args, **kwargs):774 requires_pytorch(load_tf_weights_in_electra)775class EncoderDecoderModel:776 def __init__(self, *args, **kwargs):777 requires_pytorch(self)778 @classmethod779 def from_pretrained(self, *args, **kwargs):780 requires_pytorch(self)781FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None782class FlaubertForMultipleChoice:783 def __init__(self, *args, **kwargs):784 requires_pytorch(self)785 @classmethod786 def from_pretrained(self, *args, **kwargs):787 requires_pytorch(self)788class FlaubertForQuestionAnswering:789 def __init__(self, *args, **kwargs):790 requires_pytorch(self)791 @classmethod792 def from_pretrained(self, *args, **kwargs):793 requires_pytorch(self)794class FlaubertForQuestionAnsweringSimple:795 def __init__(self, *args, **kwargs):796 requires_pytorch(self)797 @classmethod798 def from_pretrained(self, *args, **kwargs):799 requires_pytorch(self)800class FlaubertForSequenceClassification:801 def __init__(self, *args, **kwargs):802 requires_pytorch(self)803 @classmethod804 def from_pretrained(self, *args, **kwargs):805 requires_pytorch(self)806class FlaubertForTokenClassification:807 def __init__(self, *args, **kwargs):808 requires_pytorch(self)809 @classmethod810 def from_pretrained(self, *args, **kwargs):811 requires_pytorch(self)812class FlaubertModel:813 def __init__(self, *args, **kwargs):814 requires_pytorch(self)815 @classmethod816 def from_pretrained(self, *args, **kwargs):817 requires_pytorch(self)818class FlaubertWithLMHeadModel:819 def __init__(self, *args, **kwargs):820 requires_pytorch(self)821 @classmethod822 def from_pretrained(self, *args, **kwargs):823 requires_pytorch(self)824class FSMTForConditionalGeneration:825 def __init__(self, *args, **kwargs):826 requires_pytorch(self)827 @classmethod828 def from_pretrained(self, *args, **kwargs):829 requires_pytorch(self)830class FSMTModel:831 def __init__(self, *args, **kwargs):832 requires_pytorch(self)833 @classmethod834 def from_pretrained(self, *args, **kwargs):835 requires_pytorch(self)836class PretrainedFSMTModel:837 def __init__(self, *args, **kwargs):838 requires_pytorch(self)839 @classmethod840 def from_pretrained(self, *args, **kwargs):841 requires_pytorch(self)842FUNNEL_PRETRAINED_MODEL_ARCHIVE_LIST = None843class FunnelBaseModel:844 def __init__(self, *args, **kwargs):845 requires_pytorch(self)846 @classmethod847 def from_pretrained(self, *args, **kwargs):848 requires_pytorch(self)849class FunnelForMaskedLM:850 def __init__(self, *args, **kwargs):851 requires_pytorch(self)852 @classmethod853 def from_pretrained(self, *args, **kwargs):854 requires_pytorch(self)855class FunnelForMultipleChoice:856 def __init__(self, *args, **kwargs):857 requires_pytorch(self)858 @classmethod859 def from_pretrained(self, *args, **kwargs):860 requires_pytorch(self)861class FunnelForPreTraining:862 def __init__(self, *args, **kwargs):863 requires_pytorch(self)864class FunnelForQuestionAnswering:865 def __init__(self, *args, **kwargs):866 requires_pytorch(self)867 @classmethod868 def from_pretrained(self, *args, **kwargs):869 requires_pytorch(self)870class FunnelForSequenceClassification:871 def __init__(self, *args, **kwargs):872 requires_pytorch(self)873 @classmethod874 def from_pretrained(self, *args, **kwargs):875 requires_pytorch(self)876class FunnelForTokenClassification:877 def __init__(self, *args, **kwargs):878 requires_pytorch(self)879 @classmethod880 def from_pretrained(self, *args, **kwargs):881 requires_pytorch(self)882class FunnelModel:883 def __init__(self, *args, **kwargs):884 requires_pytorch(self)885 @classmethod886 def from_pretrained(self, *args, **kwargs):887 requires_pytorch(self)888def load_tf_weights_in_funnel(*args, **kwargs):889 requires_pytorch(load_tf_weights_in_funnel)890GPT2_PRETRAINED_MODEL_ARCHIVE_LIST = None891class GPT2DoubleHeadsModel:892 def __init__(self, *args, **kwargs):893 requires_pytorch(self)894 @classmethod895 def from_pretrained(self, *args, **kwargs):896 requires_pytorch(self)897class GPT2ForSequenceClassification:898 def __init__(self, *args, **kwargs):899 requires_pytorch(self)900 @classmethod901 def from_pretrained(self, *args, **kwargs):902 requires_pytorch(self)903class GPT2LMHeadModel:904 def __init__(self, *args, **kwargs):905 requires_pytorch(self)906 @classmethod907 def from_pretrained(self, *args, **kwargs):908 requires_pytorch(self)909class GPT2Model:910 def __init__(self, *args, **kwargs):911 requires_pytorch(self)912 @classmethod913 def from_pretrained(self, *args, **kwargs):914 requires_pytorch(self)915class GPT2PreTrainedModel:916 def __init__(self, *args, **kwargs):917 requires_pytorch(self)918 @classmethod919 def from_pretrained(self, *args, **kwargs):920 requires_pytorch(self)921def load_tf_weights_in_gpt2(*args, **kwargs):922 requires_pytorch(load_tf_weights_in_gpt2)923GPT_NEO_PRETRAINED_MODEL_ARCHIVE_LIST = None924class GPTNeoForCausalLM:925 def __init__(self, *args, **kwargs):926 requires_pytorch(self)927class GPTNeoModel:928 def __init__(self, *args, **kwargs):929 requires_pytorch(self)930 @classmethod931 def from_pretrained(self, *args, **kwargs):932 requires_pytorch(self)933class GPTNeoPreTrainedModel:934 def __init__(self, *args, **kwargs):935 requires_pytorch(self)936 @classmethod937 def from_pretrained(self, *args, **kwargs):938 requires_pytorch(self)939def load_tf_weights_in_gpt_neo(*args, **kwargs):940 requires_pytorch(load_tf_weights_in_gpt_neo)941IBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None942class IBertForMaskedLM:943 def __init__(self, *args, **kwargs):944 requires_pytorch(self)945 @classmethod946 def from_pretrained(self, *args, **kwargs):947 requires_pytorch(self)948class IBertForMultipleChoice:949 def __init__(self, *args, **kwargs):950 requires_pytorch(self)951 @classmethod952 def from_pretrained(self, *args, **kwargs):953 requires_pytorch(self)954class IBertForQuestionAnswering:955 def __init__(self, *args, **kwargs):956 requires_pytorch(self)957 @classmethod958 def from_pretrained(self, *args, **kwargs):959 requires_pytorch(self)960class IBertForSequenceClassification:961 def __init__(self, *args, **kwargs):962 requires_pytorch(self)963 @classmethod964 def from_pretrained(self, *args, **kwargs):965 requires_pytorch(self)966class IBertForTokenClassification:967 def __init__(self, *args, **kwargs):968 requires_pytorch(self)969 @classmethod970 def from_pretrained(self, *args, **kwargs):971 requires_pytorch(self)972class IBertModel:973 def __init__(self, *args, **kwargs):974 requires_pytorch(self)975 @classmethod976 def from_pretrained(self, *args, **kwargs):977 requires_pytorch(self)978class IBertPreTrainedModel:979 def __init__(self, *args, **kwargs):980 requires_pytorch(self)981 @classmethod982 def from_pretrained(self, *args, **kwargs):983 requires_pytorch(self)984LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST = None985class LayoutLMForMaskedLM:986 def __init__(self, *args, **kwargs):987 requires_pytorch(self)988 @classmethod989 def from_pretrained(self, *args, **kwargs):990 requires_pytorch(self)991class LayoutLMForSequenceClassification:992 def __init__(self, *args, **kwargs):993 requires_pytorch(self)994 @classmethod995 def from_pretrained(self, *args, **kwargs):996 requires_pytorch(self)997class LayoutLMForTokenClassification:998 def __init__(self, *args, **kwargs):999 requires_pytorch(self)1000 @classmethod1001 def from_pretrained(self, *args, **kwargs):1002 requires_pytorch(self)1003class LayoutLMModel:1004 def __init__(self, *args, **kwargs):1005 requires_pytorch(self)1006 @classmethod1007 def from_pretrained(self, *args, **kwargs):1008 requires_pytorch(self)1009LED_PRETRAINED_MODEL_ARCHIVE_LIST = None1010class LEDForConditionalGeneration:1011 def __init__(self, *args, **kwargs):1012 requires_pytorch(self)1013 @classmethod1014 def from_pretrained(self, *args, **kwargs):1015 requires_pytorch(self)1016class LEDForQuestionAnswering:1017 def __init__(self, *args, **kwargs):1018 requires_pytorch(self)1019 @classmethod1020 def from_pretrained(self, *args, **kwargs):1021 requires_pytorch(self)1022class LEDForSequenceClassification:1023 def __init__(self, *args, **kwargs):1024 requires_pytorch(self)1025 @classmethod1026 def from_pretrained(self, *args, **kwargs):1027 requires_pytorch(self)1028class LEDModel:1029 def __init__(self, *args, **kwargs):1030 requires_pytorch(self)1031 @classmethod1032 def from_pretrained(self, *args, **kwargs):1033 requires_pytorch(self)1034LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST = None1035class LongformerForMaskedLM:1036 def __init__(self, *args, **kwargs):1037 requires_pytorch(self)1038 @classmethod1039 def from_pretrained(self, *args, **kwargs):1040 requires_pytorch(self)1041class LongformerForMultipleChoice:1042 def __init__(self, *args, **kwargs):1043 requires_pytorch(self)1044 @classmethod1045 def from_pretrained(self, *args, **kwargs):1046 requires_pytorch(self)1047class LongformerForQuestionAnswering:1048 def __init__(self, *args, **kwargs):1049 requires_pytorch(self)1050 @classmethod1051 def from_pretrained(self, *args, **kwargs):1052 requires_pytorch(self)1053class LongformerForSequenceClassification:1054 def __init__(self, *args, **kwargs):1055 requires_pytorch(self)1056 @classmethod1057 def from_pretrained(self, *args, **kwargs):1058 requires_pytorch(self)1059class LongformerForTokenClassification:1060 def __init__(self, *args, **kwargs):1061 requires_pytorch(self)1062 @classmethod1063 def from_pretrained(self, *args, **kwargs):1064 requires_pytorch(self)1065class LongformerModel:1066 def __init__(self, *args, **kwargs):1067 requires_pytorch(self)1068 @classmethod1069 def from_pretrained(self, *args, **kwargs):1070 requires_pytorch(self)1071class LongformerSelfAttention:1072 def __init__(self, *args, **kwargs):1073 requires_pytorch(self)1074class LxmertEncoder:1075 def __init__(self, *args, **kwargs):1076 requires_pytorch(self)1077class LxmertForPreTraining:1078 def __init__(self, *args, **kwargs):1079 requires_pytorch(self)1080class LxmertForQuestionAnswering:1081 def __init__(self, *args, **kwargs):1082 requires_pytorch(self)1083 @classmethod1084 def from_pretrained(self, *args, **kwargs):1085 requires_pytorch(self)1086class LxmertModel:1087 def __init__(self, *args, **kwargs):1088 requires_pytorch(self)1089 @classmethod1090 def from_pretrained(self, *args, **kwargs):1091 requires_pytorch(self)1092class LxmertPreTrainedModel:1093 def __init__(self, *args, **kwargs):1094 requires_pytorch(self)1095 @classmethod1096 def from_pretrained(self, *args, **kwargs):1097 requires_pytorch(self)1098class LxmertVisualFeatureEncoder:1099 def __init__(self, *args, **kwargs):1100 requires_pytorch(self)1101class LxmertXLayer:1102 def __init__(self, *args, **kwargs):1103 requires_pytorch(self)1104M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST = None1105class M2M100ForConditionalGeneration:1106 def __init__(self, *args, **kwargs):1107 requires_pytorch(self)1108 @classmethod1109 def from_pretrained(self, *args, **kwargs):1110 requires_pytorch(self)1111class M2M100Model:1112 def __init__(self, *args, **kwargs):1113 requires_pytorch(self)1114 @classmethod1115 def from_pretrained(self, *args, **kwargs):1116 requires_pytorch(self)1117class MarianForCausalLM:1118 def __init__(self, *args, **kwargs):1119 requires_pytorch(self)1120class MarianModel:1121 def __init__(self, *args, **kwargs):1122 requires_pytorch(self)1123 @classmethod1124 def from_pretrained(self, *args, **kwargs):1125 requires_pytorch(self)1126class MarianMTModel:1127 def __init__(self, *args, **kwargs):1128 requires_pytorch(self)1129 @classmethod1130 def from_pretrained(self, *args, **kwargs):1131 requires_pytorch(self)1132class MBartForCausalLM:1133 def __init__(self, *args, **kwargs):1134 requires_pytorch(self)1135class MBartForConditionalGeneration:1136 def __init__(self, *args, **kwargs):1137 requires_pytorch(self)1138 @classmethod1139 def from_pretrained(self, *args, **kwargs):1140 requires_pytorch(self)1141class MBartForQuestionAnswering:1142 def __init__(self, *args, **kwargs):1143 requires_pytorch(self)1144 @classmethod1145 def from_pretrained(self, *args, **kwargs):1146 requires_pytorch(self)1147class MBartForSequenceClassification:1148 def __init__(self, *args, **kwargs):1149 requires_pytorch(self)1150 @classmethod1151 def from_pretrained(self, *args, **kwargs):1152 requires_pytorch(self)1153class MBartModel:1154 def __init__(self, *args, **kwargs):1155 requires_pytorch(self)1156 @classmethod1157 def from_pretrained(self, *args, **kwargs):1158 requires_pytorch(self)1159class MMBTForClassification:1160 def __init__(self, *args, **kwargs):1161 requires_pytorch(self)1162class MMBTModel:1163 def __init__(self, *args, **kwargs):1164 requires_pytorch(self)1165 @classmethod1166 def from_pretrained(self, *args, **kwargs):1167 requires_pytorch(self)1168class ModalEmbeddings:1169 def __init__(self, *args, **kwargs):1170 requires_pytorch(self)1171MOBILEBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None1172class MobileBertForMaskedLM:1173 def __init__(self, *args, **kwargs):1174 requires_pytorch(self)1175 @classmethod1176 def from_pretrained(self, *args, **kwargs):1177 requires_pytorch(self)1178class MobileBertForMultipleChoice:1179 def __init__(self, *args, **kwargs):1180 requires_pytorch(self)1181 @classmethod1182 def from_pretrained(self, *args, **kwargs):1183 requires_pytorch(self)1184class MobileBertForNextSentencePrediction:1185 def __init__(self, *args, **kwargs):1186 requires_pytorch(self)1187class MobileBertForPreTraining:1188 def __init__(self, *args, **kwargs):1189 requires_pytorch(self)1190class MobileBertForQuestionAnswering:1191 def __init__(self, *args, **kwargs):1192 requires_pytorch(self)1193 @classmethod1194 def from_pretrained(self, *args, **kwargs):1195 requires_pytorch(self)1196class MobileBertForSequenceClassification:1197 def __init__(self, *args, **kwargs):1198 requires_pytorch(self)1199 @classmethod1200 def from_pretrained(self, *args, **kwargs):1201 requires_pytorch(self)1202class MobileBertForTokenClassification:1203 def __init__(self, *args, **kwargs):1204 requires_pytorch(self)1205 @classmethod1206 def from_pretrained(self, *args, **kwargs):1207 requires_pytorch(self)1208class MobileBertLayer:1209 def __init__(self, *args, **kwargs):1210 requires_pytorch(self)1211class MobileBertModel:1212 def __init__(self, *args, **kwargs):1213 requires_pytorch(self)1214 @classmethod1215 def from_pretrained(self, *args, **kwargs):1216 requires_pytorch(self)1217class MobileBertPreTrainedModel:1218 def __init__(self, *args, **kwargs):1219 requires_pytorch(self)1220 @classmethod1221 def from_pretrained(self, *args, **kwargs):1222 requires_pytorch(self)1223def load_tf_weights_in_mobilebert(*args, **kwargs):1224 requires_pytorch(load_tf_weights_in_mobilebert)1225MPNET_PRETRAINED_MODEL_ARCHIVE_LIST = None1226class MPNetForMaskedLM:1227 def __init__(self, *args, **kwargs):1228 requires_pytorch(self)1229 @classmethod1230 def from_pretrained(self, *args, **kwargs):1231 requires_pytorch(self)1232class MPNetForMultipleChoice:1233 def __init__(self, *args, **kwargs):1234 requires_pytorch(self)1235 @classmethod1236 def from_pretrained(self, *args, **kwargs):1237 requires_pytorch(self)1238class MPNetForQuestionAnswering:1239 def __init__(self, *args, **kwargs):1240 requires_pytorch(self)1241 @classmethod1242 def from_pretrained(self, *args, **kwargs):1243 requires_pytorch(self)1244class MPNetForSequenceClassification:1245 def __init__(self, *args, **kwargs):1246 requires_pytorch(self)1247 @classmethod1248 def from_pretrained(self, *args, **kwargs):1249 requires_pytorch(self)1250class MPNetForTokenClassification:1251 def __init__(self, *args, **kwargs):1252 requires_pytorch(self)1253 @classmethod1254 def from_pretrained(self, *args, **kwargs):1255 requires_pytorch(self)1256class MPNetLayer:1257 def __init__(self, *args, **kwargs):1258 requires_pytorch(self)1259class MPNetModel:1260 def __init__(self, *args, **kwargs):1261 requires_pytorch(self)1262 @classmethod1263 def from_pretrained(self, *args, **kwargs):1264 requires_pytorch(self)1265class MPNetPreTrainedModel:1266 def __init__(self, *args, **kwargs):1267 requires_pytorch(self)1268 @classmethod1269 def from_pretrained(self, *args, **kwargs):1270 requires_pytorch(self)1271class MT5EncoderModel:1272 def __init__(self, *args, **kwargs):1273 requires_pytorch(self)1274 @classmethod1275 def from_pretrained(self, *args, **kwargs):1276 requires_pytorch(self)1277class MT5ForConditionalGeneration:1278 def __init__(self, *args, **kwargs):1279 requires_pytorch(self)1280 @classmethod1281 def from_pretrained(self, *args, **kwargs):1282 requires_pytorch(self)1283class MT5Model:1284 def __init__(self, *args, **kwargs):1285 requires_pytorch(self)1286 @classmethod1287 def from_pretrained(self, *args, **kwargs):1288 requires_pytorch(self)1289OPENAI_GPT_PRETRAINED_MODEL_ARCHIVE_LIST = None1290class OpenAIGPTDoubleHeadsModel:1291 def __init__(self, *args, **kwargs):1292 requires_pytorch(self)1293 @classmethod1294 def from_pretrained(self, *args, **kwargs):1295 requires_pytorch(self)1296class OpenAIGPTForSequenceClassification:1297 def __init__(self, *args, **kwargs):1298 requires_pytorch(self)1299 @classmethod1300 def from_pretrained(self, *args, **kwargs):1301 requires_pytorch(self)1302class OpenAIGPTLMHeadModel:1303 def __init__(self, *args, **kwargs):1304 requires_pytorch(self)1305 @classmethod1306 def from_pretrained(self, *args, **kwargs):1307 requires_pytorch(self)1308class OpenAIGPTModel:1309 def __init__(self, *args, **kwargs):1310 requires_pytorch(self)1311 @classmethod1312 def from_pretrained(self, *args, **kwargs):1313 requires_pytorch(self)1314class OpenAIGPTPreTrainedModel:1315 def __init__(self, *args, **kwargs):1316 requires_pytorch(self)1317 @classmethod1318 def from_pretrained(self, *args, **kwargs):1319 requires_pytorch(self)1320def load_tf_weights_in_openai_gpt(*args, **kwargs):1321 requires_pytorch(load_tf_weights_in_openai_gpt)1322class PegasusForCausalLM:1323 def __init__(self, *args, **kwargs):1324 requires_pytorch(self)1325class PegasusForConditionalGeneration:1326 def __init__(self, *args, **kwargs):1327 requires_pytorch(self)1328 @classmethod1329 def from_pretrained(self, *args, **kwargs):1330 requires_pytorch(self)1331class PegasusModel:1332 def __init__(self, *args, **kwargs):1333 requires_pytorch(self)1334 @classmethod1335 def from_pretrained(self, *args, **kwargs):1336 requires_pytorch(self)1337PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST = None1338class ProphetNetDecoder:1339 def __init__(self, *args, **kwargs):1340 requires_pytorch(self)1341class ProphetNetEncoder:1342 def __init__(self, *args, **kwargs):1343 requires_pytorch(self)1344class ProphetNetForCausalLM:1345 def __init__(self, *args, **kwargs):1346 requires_pytorch(self)1347class ProphetNetForConditionalGeneration:1348 def __init__(self, *args, **kwargs):1349 requires_pytorch(self)1350 @classmethod1351 def from_pretrained(self, *args, **kwargs):1352 requires_pytorch(self)1353class ProphetNetModel:1354 def __init__(self, *args, **kwargs):1355 requires_pytorch(self)1356 @classmethod1357 def from_pretrained(self, *args, **kwargs):1358 requires_pytorch(self)1359class ProphetNetPreTrainedModel:1360 def __init__(self, *args, **kwargs):1361 requires_pytorch(self)1362 @classmethod1363 def from_pretrained(self, *args, **kwargs):1364 requires_pytorch(self)1365class RagModel:1366 def __init__(self, *args, **kwargs):1367 requires_pytorch(self)1368 @classmethod1369 def from_pretrained(self, *args, **kwargs):1370 requires_pytorch(self)1371class RagSequenceForGeneration:1372 def __init__(self, *args, **kwargs):1373 requires_pytorch(self)1374class RagTokenForGeneration:1375 def __init__(self, *args, **kwargs):1376 requires_pytorch(self)1377REFORMER_PRETRAINED_MODEL_ARCHIVE_LIST = None1378class ReformerAttention:1379 def __init__(self, *args, **kwargs):1380 requires_pytorch(self)1381class ReformerForMaskedLM:1382 def __init__(self, *args, **kwargs):1383 requires_pytorch(self)1384 @classmethod1385 def from_pretrained(self, *args, **kwargs):1386 requires_pytorch(self)1387class ReformerForQuestionAnswering:1388 def __init__(self, *args, **kwargs):1389 requires_pytorch(self)1390 @classmethod1391 def from_pretrained(self, *args, **kwargs):1392 requires_pytorch(self)1393class ReformerForSequenceClassification:1394 def __init__(self, *args, **kwargs):1395 requires_pytorch(self)1396 @classmethod1397 def from_pretrained(self, *args, **kwargs):1398 requires_pytorch(self)1399class ReformerLayer:1400 def __init__(self, *args, **kwargs):1401 requires_pytorch(self)1402class ReformerModel:1403 def __init__(self, *args, **kwargs):1404 requires_pytorch(self)1405 @classmethod1406 def from_pretrained(self, *args, **kwargs):1407 requires_pytorch(self)1408class ReformerModelWithLMHead:1409 def __init__(self, *args, **kwargs):1410 requires_pytorch(self)1411 @classmethod1412 def from_pretrained(self, *args, **kwargs):1413 requires_pytorch(self)1414RETRIBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None1415class RetriBertModel:1416 def __init__(self, *args, **kwargs):1417 requires_pytorch(self)1418 @classmethod1419 def from_pretrained(self, *args, **kwargs):1420 requires_pytorch(self)1421class RetriBertPreTrainedModel:1422 def __init__(self, *args, **kwargs):1423 requires_pytorch(self)1424 @classmethod1425 def from_pretrained(self, *args, **kwargs):1426 requires_pytorch(self)1427ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST = None1428class RobertaForCausalLM:1429 def __init__(self, *args, **kwargs):1430 requires_pytorch(self)1431class RobertaForMaskedLM:1432 def __init__(self, *args, **kwargs):1433 requires_pytorch(self)1434 @classmethod1435 def from_pretrained(self, *args, **kwargs):1436 requires_pytorch(self)1437class RobertaForMultipleChoice:1438 def __init__(self, *args, **kwargs):1439 requires_pytorch(self)1440 @classmethod1441 def from_pretrained(self, *args, **kwargs):1442 requires_pytorch(self)1443class RobertaForQuestionAnswering:1444 def __init__(self, *args, **kwargs):1445 requires_pytorch(self)1446 @classmethod1447 def from_pretrained(self, *args, **kwargs):1448 requires_pytorch(self)1449class RobertaForSequenceClassification:1450 def __init__(self, *args, **kwargs):1451 requires_pytorch(self)1452 @classmethod1453 def from_pretrained(self, *args, **kwargs):1454 requires_pytorch(self)1455class RobertaForTokenClassification:1456 def __init__(self, *args, **kwargs):1457 requires_pytorch(self)1458 @classmethod1459 def from_pretrained(self, *args, **kwargs):1460 requires_pytorch(self)1461class RobertaModel:1462 def __init__(self, *args, **kwargs):1463 requires_pytorch(self)1464 @classmethod1465 def from_pretrained(self, *args, **kwargs):1466 requires_pytorch(self)1467SPEECH_TO_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST = None1468class Speech2TextForConditionalGeneration:1469 def __init__(self, *args, **kwargs):1470 requires_pytorch(self)1471 @classmethod1472 def from_pretrained(self, *args, **kwargs):1473 requires_pytorch(self)1474class Speech2TextModel:1475 def __init__(self, *args, **kwargs):1476 requires_pytorch(self)1477 @classmethod1478 def from_pretrained(self, *args, **kwargs):1479 requires_pytorch(self)1480SQUEEZEBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None1481class SqueezeBertForMaskedLM:1482 def __init__(self, *args, **kwargs):1483 requires_pytorch(self)1484 @classmethod1485 def from_pretrained(self, *args, **kwargs):1486 requires_pytorch(self)1487class SqueezeBertForMultipleChoice:1488 def __init__(self, *args, **kwargs):1489 requires_pytorch(self)1490 @classmethod1491 def from_pretrained(self, *args, **kwargs):1492 requires_pytorch(self)1493class SqueezeBertForQuestionAnswering:1494 def __init__(self, *args, **kwargs):1495 requires_pytorch(self)1496 @classmethod1497 def from_pretrained(self, *args, **kwargs):1498 requires_pytorch(self)1499class SqueezeBertForSequenceClassification:1500 def __init__(self, *args, **kwargs):1501 requires_pytorch(self)1502 @classmethod1503 def from_pretrained(self, *args, **kwargs):1504 requires_pytorch(self)1505class SqueezeBertForTokenClassification:1506 def __init__(self, *args, **kwargs):1507 requires_pytorch(self)1508 @classmethod1509 def from_pretrained(self, *args, **kwargs):1510 requires_pytorch(self)1511class SqueezeBertModel:1512 def __init__(self, *args, **kwargs):1513 requires_pytorch(self)1514 @classmethod1515 def from_pretrained(self, *args, **kwargs):1516 requires_pytorch(self)1517class SqueezeBertModule:1518 def __init__(self, *args, **kwargs):1519 requires_pytorch(self)1520class SqueezeBertPreTrainedModel:1521 def __init__(self, *args, **kwargs):1522 requires_pytorch(self)1523 @classmethod1524 def from_pretrained(self, *args, **kwargs):1525 requires_pytorch(self)1526T5_PRETRAINED_MODEL_ARCHIVE_LIST = None1527class T5EncoderModel:1528 def __init__(self, *args, **kwargs):1529 requires_pytorch(self)1530 @classmethod1531 def from_pretrained(self, *args, **kwargs):1532 requires_pytorch(self)1533class T5ForConditionalGeneration:1534 def __init__(self, *args, **kwargs):1535 requires_pytorch(self)1536 @classmethod1537 def from_pretrained(self, *args, **kwargs):1538 requires_pytorch(self)1539class T5Model:1540 def __init__(self, *args, **kwargs):1541 requires_pytorch(self)1542 @classmethod1543 def from_pretrained(self, *args, **kwargs):1544 requires_pytorch(self)1545class T5PreTrainedModel:1546 def __init__(self, *args, **kwargs):1547 requires_pytorch(self)1548 @classmethod1549 def from_pretrained(self, *args, **kwargs):1550 requires_pytorch(self)1551def load_tf_weights_in_t5(*args, **kwargs):1552 requires_pytorch(load_tf_weights_in_t5)1553TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST = None1554class TapasForMaskedLM:1555 def __init__(self, *args, **kwargs):1556 requires_pytorch(self)1557 @classmethod1558 def from_pretrained(self, *args, **kwargs):1559 requires_pytorch(self)1560class TapasForQuestionAnswering:1561 def __init__(self, *args, **kwargs):1562 requires_pytorch(self)1563 @classmethod1564 def from_pretrained(self, *args, **kwargs):1565 requires_pytorch(self)1566class TapasForSequenceClassification:1567 def __init__(self, *args, **kwargs):1568 requires_pytorch(self)1569 @classmethod1570 def from_pretrained(self, *args, **kwargs):1571 requires_pytorch(self)1572class TapasModel:1573 def __init__(self, *args, **kwargs):1574 requires_pytorch(self)1575 @classmethod1576 def from_pretrained(self, *args, **kwargs):1577 requires_pytorch(self)1578TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST = None1579class AdaptiveEmbedding:1580 def __init__(self, *args, **kwargs):1581 requires_pytorch(self)1582class TransfoXLForSequenceClassification:1583 def __init__(self, *args, **kwargs):1584 requires_pytorch(self)1585 @classmethod1586 def from_pretrained(self, *args, **kwargs):1587 requires_pytorch(self)1588class TransfoXLLMHeadModel:1589 def __init__(self, *args, **kwargs):1590 requires_pytorch(self)1591 @classmethod1592 def from_pretrained(self, *args, **kwargs):1593 requires_pytorch(self)1594class TransfoXLModel:1595 def __init__(self, *args, **kwargs):1596 requires_pytorch(self)1597 @classmethod1598 def from_pretrained(self, *args, **kwargs):1599 requires_pytorch(self)1600class TransfoXLPreTrainedModel:1601 def __init__(self, *args, **kwargs):1602 requires_pytorch(self)1603 @classmethod1604 def from_pretrained(self, *args, **kwargs):1605 requires_pytorch(self)1606def load_tf_weights_in_transfo_xl(*args, **kwargs):1607 requires_pytorch(load_tf_weights_in_transfo_xl)1608VIT_PRETRAINED_MODEL_ARCHIVE_LIST = None1609class ViTForImageClassification:1610 def __init__(self, *args, **kwargs):1611 requires_pytorch(self)1612class ViTModel:1613 def __init__(self, *args, **kwargs):1614 requires_pytorch(self)1615 @classmethod1616 def from_pretrained(self, *args, **kwargs):1617 requires_pytorch(self)1618class ViTPreTrainedModel:1619 def __init__(self, *args, **kwargs):1620 requires_pytorch(self)1621 @classmethod1622 def from_pretrained(self, *args, **kwargs):1623 requires_pytorch(self)1624WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST = None1625class Wav2Vec2ForCTC:1626 def __init__(self, *args, **kwargs):1627 requires_pytorch(self)1628class Wav2Vec2ForMaskedLM:1629 def __init__(self, *args, **kwargs):1630 requires_pytorch(self)1631 @classmethod1632 def from_pretrained(self, *args, **kwargs):1633 requires_pytorch(self)1634class Wav2Vec2Model:1635 def __init__(self, *args, **kwargs):1636 requires_pytorch(self)1637 @classmethod1638 def from_pretrained(self, *args, **kwargs):1639 requires_pytorch(self)1640class Wav2Vec2PreTrainedModel:1641 def __init__(self, *args, **kwargs):1642 requires_pytorch(self)1643 @classmethod1644 def from_pretrained(self, *args, **kwargs):1645 requires_pytorch(self)1646XLM_PRETRAINED_MODEL_ARCHIVE_LIST = None1647class XLMForMultipleChoice:1648 def __init__(self, *args, **kwargs):1649 requires_pytorch(self)1650 @classmethod1651 def from_pretrained(self, *args, **kwargs):1652 requires_pytorch(self)1653class XLMForQuestionAnswering:1654 def __init__(self, *args, **kwargs):1655 requires_pytorch(self)1656 @classmethod1657 def from_pretrained(self, *args, **kwargs):1658 requires_pytorch(self)1659class XLMForQuestionAnsweringSimple:1660 def __init__(self, *args, **kwargs):1661 requires_pytorch(self)1662 @classmethod1663 def from_pretrained(self, *args, **kwargs):1664 requires_pytorch(self)1665class XLMForSequenceClassification:1666 def __init__(self, *args, **kwargs):1667 requires_pytorch(self)1668 @classmethod1669 def from_pretrained(self, *args, **kwargs):1670 requires_pytorch(self)1671class XLMForTokenClassification:1672 def __init__(self, *args, **kwargs):1673 requires_pytorch(self)1674 @classmethod1675 def from_pretrained(self, *args, **kwargs):1676 requires_pytorch(self)1677class XLMModel:1678 def __init__(self, *args, **kwargs):1679 requires_pytorch(self)1680 @classmethod1681 def from_pretrained(self, *args, **kwargs):1682 requires_pytorch(self)1683class XLMPreTrainedModel:1684 def __init__(self, *args, **kwargs):1685 requires_pytorch(self)1686 @classmethod1687 def from_pretrained(self, *args, **kwargs):1688 requires_pytorch(self)1689class XLMWithLMHeadModel:1690 def __init__(self, *args, **kwargs):1691 requires_pytorch(self)1692 @classmethod1693 def from_pretrained(self, *args, **kwargs):1694 requires_pytorch(self)1695XLM_PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST = None1696class XLMProphetNetDecoder:1697 def __init__(self, *args, **kwargs):1698 requires_pytorch(self)1699class XLMProphetNetEncoder:1700 def __init__(self, *args, **kwargs):1701 requires_pytorch(self)1702class XLMProphetNetForCausalLM:1703 def __init__(self, *args, **kwargs):1704 requires_pytorch(self)1705class XLMProphetNetForConditionalGeneration:1706 def __init__(self, *args, **kwargs):1707 requires_pytorch(self)1708 @classmethod1709 def from_pretrained(self, *args, **kwargs):1710 requires_pytorch(self)1711class XLMProphetNetModel:1712 def __init__(self, *args, **kwargs):1713 requires_pytorch(self)1714 @classmethod1715 def from_pretrained(self, *args, **kwargs):1716 requires_pytorch(self)1717XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST = None1718class XLMRobertaForCausalLM:1719 def __init__(self, *args, **kwargs):1720 requires_pytorch(self)1721class XLMRobertaForMaskedLM:1722 def __init__(self, *args, **kwargs):1723 requires_pytorch(self)1724 @classmethod1725 def from_pretrained(self, *args, **kwargs):1726 requires_pytorch(self)1727class XLMRobertaForMultipleChoice:1728 def __init__(self, *args, **kwargs):1729 requires_pytorch(self)1730 @classmethod1731 def from_pretrained(self, *args, **kwargs):1732 requires_pytorch(self)1733class XLMRobertaForQuestionAnswering:1734 def __init__(self, *args, **kwargs):1735 requires_pytorch(self)1736 @classmethod1737 def from_pretrained(self, *args, **kwargs):1738 requires_pytorch(self)1739class XLMRobertaForSequenceClassification:1740 def __init__(self, *args, **kwargs):1741 requires_pytorch(self)1742 @classmethod1743 def from_pretrained(self, *args, **kwargs):1744 requires_pytorch(self)1745class XLMRobertaForTokenClassification:1746 def __init__(self, *args, **kwargs):1747 requires_pytorch(self)1748 @classmethod1749 def from_pretrained(self, *args, **kwargs):1750 requires_pytorch(self)1751class XLMRobertaModel:1752 def __init__(self, *args, **kwargs):1753 requires_pytorch(self)1754 @classmethod1755 def from_pretrained(self, *args, **kwargs):1756 requires_pytorch(self)1757XLNET_PRETRAINED_MODEL_ARCHIVE_LIST = None1758class XLNetForMultipleChoice:1759 def __init__(self, *args, **kwargs):1760 requires_pytorch(self)1761 @classmethod1762 def from_pretrained(self, *args, **kwargs):1763 requires_pytorch(self)1764class XLNetForQuestionAnswering:1765 def __init__(self, *args, **kwargs):1766 requires_pytorch(self)1767 @classmethod1768 def from_pretrained(self, *args, **kwargs):1769 requires_pytorch(self)1770class XLNetForQuestionAnsweringSimple:1771 def __init__(self, *args, **kwargs):1772 requires_pytorch(self)1773 @classmethod1774 def from_pretrained(self, *args, **kwargs):1775 requires_pytorch(self)1776class XLNetForSequenceClassification:1777 def __init__(self, *args, **kwargs):1778 requires_pytorch(self)1779 @classmethod1780 def from_pretrained(self, *args, **kwargs):1781 requires_pytorch(self)1782class XLNetForTokenClassification:1783 def __init__(self, *args, **kwargs):1784 requires_pytorch(self)1785 @classmethod1786 def from_pretrained(self, *args, **kwargs):1787 requires_pytorch(self)1788class XLNetLMHeadModel:1789 def __init__(self, *args, **kwargs):1790 requires_pytorch(self)1791 @classmethod1792 def from_pretrained(self, *args, **kwargs):1793 requires_pytorch(self)1794class XLNetModel:1795 def __init__(self, *args, **kwargs):1796 requires_pytorch(self)1797 @classmethod1798 def from_pretrained(self, *args, **kwargs):1799 requires_pytorch(self)1800class XLNetPreTrainedModel:1801 def __init__(self, *args, **kwargs):1802 requires_pytorch(self)1803 @classmethod1804 def from_pretrained(self, *args, **kwargs):1805 requires_pytorch(self)1806def load_tf_weights_in_xlnet(*args, **kwargs):1807 requires_pytorch(load_tf_weights_in_xlnet)1808class Adafactor:1809 def __init__(self, *args, **kwargs):1810 requires_pytorch(self)1811class AdamW:1812 def __init__(self, *args, **kwargs):1813 requires_pytorch(self)1814def get_constant_schedule(*args, **kwargs):1815 requires_pytorch(get_constant_schedule)1816def get_constant_schedule_with_warmup(*args, **kwargs):1817 requires_pytorch(get_constant_schedule_with_warmup)1818def get_cosine_schedule_with_warmup(*args, **kwargs):1819 requires_pytorch(get_cosine_schedule_with_warmup)1820def get_cosine_with_hard_restarts_schedule_with_warmup(*args, **kwargs):1821 requires_pytorch(get_cosine_with_hard_restarts_schedule_with_warmup)1822def get_linear_schedule_with_warmup(*args, **kwargs):1823 requires_pytorch(get_linear_schedule_with_warmup)1824def get_polynomial_decay_schedule_with_warmup(*args, **kwargs):1825 requires_pytorch(get_polynomial_decay_schedule_with_warmup)1826def get_scheduler(*args, **kwargs):1827 requires_pytorch(get_scheduler)1828class Trainer:1829 def __init__(self, *args, **kwargs):1830 requires_pytorch(self)1831def torch_distributed_zero_first(*args, **kwargs):1832 requires_pytorch(torch_distributed_zero_first)1833class Seq2SeqTrainer:1834 def __init__(self, *args, **kwargs):...

dummy_tf_objects.py

Source:dummy_tf_objects.py

1# This file is autogenerated by the command `make fix-copies`, do not edit.2from ..file_utils import requires_tf3class TensorFlowBenchmarkArguments:4 def __init__(self, *args, **kwargs):5 requires_tf(self)6class TensorFlowBenchmark:7 def __init__(self, *args, **kwargs):8 requires_tf(self)9def tf_top_k_top_p_filtering(*args, **kwargs):10 requires_tf(tf_top_k_top_p_filtering)11TF_LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST = None12class TFLayoutLMForMaskedLM:13 def __init__(self, *args, **kwargs):14 requires_tf(self)15 @classmethod16 def from_pretrained(self, *args, **kwargs):17 requires_tf(self)18class TFLayoutLMForSequenceClassification:19 def __init__(self, *args, **kwargs):20 requires_tf(self)21 @classmethod22 def from_pretrained(self, *args, **kwargs):23 requires_tf(self)24class TFLayoutLMForTokenClassification:25 def __init__(self, *args, **kwargs):26 requires_tf(self)27 @classmethod28 def from_pretrained(self, *args, **kwargs):29 requires_tf(self)30class TFLayoutLMMainLayer:31 def __init__(self, *args, **kwargs):32 requires_tf(self)33class TFLayoutLMModel:34 def __init__(self, *args, **kwargs):35 requires_tf(self)36 @classmethod37 def from_pretrained(self, *args, **kwargs):38 requires_tf(self)39class TFLayoutLMPreTrainedModel:40 def __init__(self, *args, **kwargs):41 requires_tf(self)42 @classmethod43 def from_pretrained(self, *args, **kwargs):44 requires_tf(self)45class TFPreTrainedModel:46 def __init__(self, *args, **kwargs):47 requires_tf(self)48 @classmethod49 def from_pretrained(self, *args, **kwargs):50 requires_tf(self)51class TFSequenceSummary:52 def __init__(self, *args, **kwargs):53 requires_tf(self)54class TFSharedEmbeddings:55 def __init__(self, *args, **kwargs):56 requires_tf(self)57def shape_list(*args, **kwargs):58 requires_tf(shape_list)59TF_ALBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None60class TFAlbertForMaskedLM:61 def __init__(self, *args, **kwargs):62 requires_tf(self)63 @classmethod64 def from_pretrained(self, *args, **kwargs):65 requires_tf(self)66class TFAlbertForMultipleChoice:67 def __init__(self, *args, **kwargs):68 requires_tf(self)69 @classmethod70 def from_pretrained(self, *args, **kwargs):71 requires_tf(self)72class TFAlbertForPreTraining:73 def __init__(self, *args, **kwargs):74 requires_tf(self)75class TFAlbertForQuestionAnswering:76 def __init__(self, *args, **kwargs):77 requires_tf(self)78 @classmethod79 def from_pretrained(self, *args, **kwargs):80 requires_tf(self)81class TFAlbertForSequenceClassification:82 def __init__(self, *args, **kwargs):83 requires_tf(self)84 @classmethod85 def from_pretrained(self, *args, **kwargs):86 requires_tf(self)87class TFAlbertForTokenClassification:88 def __init__(self, *args, **kwargs):89 requires_tf(self)90 @classmethod91 def from_pretrained(self, *args, **kwargs):92 requires_tf(self)93class TFAlbertMainLayer:94 def __init__(self, *args, **kwargs):95 requires_tf(self)96class TFAlbertModel:97 def __init__(self, *args, **kwargs):98 requires_tf(self)99 @classmethod100 def from_pretrained(self, *args, **kwargs):101 requires_tf(self)102class TFAlbertPreTrainedModel:103 def __init__(self, *args, **kwargs):104 requires_tf(self)105 @classmethod106 def from_pretrained(self, *args, **kwargs):107 requires_tf(self)108TF_MODEL_FOR_CAUSAL_LM_MAPPING = None109TF_MODEL_FOR_MASKED_LM_MAPPING = None110TF_MODEL_FOR_MULTIPLE_CHOICE_MAPPING = None111TF_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING = None112TF_MODEL_FOR_PRETRAINING_MAPPING = None113TF_MODEL_FOR_QUESTION_ANSWERING_MAPPING = None114TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING = None115TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING = None116TF_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING = None117TF_MODEL_MAPPING = None118TF_MODEL_WITH_LM_HEAD_MAPPING = None119class TFAutoModel:120 def __init__(self, *args, **kwargs):121 requires_tf(self)122 @classmethod123 def from_pretrained(self, *args, **kwargs):124 requires_tf(self)125class TFAutoModelForCausalLM:126 def __init__(self, *args, **kwargs):127 requires_tf(self)128 @classmethod129 def from_pretrained(self, *args, **kwargs):130 requires_tf(self)131class TFAutoModelForMaskedLM:132 def __init__(self, *args, **kwargs):133 requires_tf(self)134 @classmethod135 def from_pretrained(self, *args, **kwargs):136 requires_tf(self)137class TFAutoModelForMultipleChoice:138 def __init__(self, *args, **kwargs):139 requires_tf(self)140 @classmethod141 def from_pretrained(self, *args, **kwargs):142 requires_tf(self)143class TFAutoModelForPreTraining:144 def __init__(self, *args, **kwargs):145 requires_tf(self)146 @classmethod147 def from_pretrained(self, *args, **kwargs):148 requires_tf(self)149class TFAutoModelForQuestionAnswering:150 def __init__(self, *args, **kwargs):151 requires_tf(self)152 @classmethod153 def from_pretrained(self, *args, **kwargs):154 requires_tf(self)155class TFAutoModelForSeq2SeqLM:156 def __init__(self, *args, **kwargs):157 requires_tf(self)158 @classmethod159 def from_pretrained(self, *args, **kwargs):160 requires_tf(self)161class TFAutoModelForSequenceClassification:162 def __init__(self, *args, **kwargs):163 requires_tf(self)164 @classmethod165 def from_pretrained(self, *args, **kwargs):166 requires_tf(self)167class TFAutoModelForTokenClassification:168 def __init__(self, *args, **kwargs):169 requires_tf(self)170 @classmethod171 def from_pretrained(self, *args, **kwargs):172 requires_tf(self)173class TFAutoModelWithLMHead:174 def __init__(self, *args, **kwargs):175 requires_tf(self)176 @classmethod177 def from_pretrained(self, *args, **kwargs):178 requires_tf(self)179class TFBartForConditionalGeneration:180 def __init__(self, *args, **kwargs):181 requires_tf(self)182 @classmethod183 def from_pretrained(self, *args, **kwargs):184 requires_tf(self)185class TFBartModel:186 def __init__(self, *args, **kwargs):187 requires_tf(self)188 @classmethod189 def from_pretrained(self, *args, **kwargs):190 requires_tf(self)191class TFBartPretrainedModel:192 def __init__(self, *args, **kwargs):193 requires_tf(self)194 @classmethod195 def from_pretrained(self, *args, **kwargs):196 requires_tf(self)197TF_BERT_PRETRAINED_MODEL_ARCHIVE_LIST = None198class TFBertEmbeddings:199 def __init__(self, *args, **kwargs):200 requires_tf(self)201class TFBertForMaskedLM:202 def __init__(self, *args, **kwargs):203 requires_tf(self)204 @classmethod205 def from_pretrained(self, *args, **kwargs):206 requires_tf(self)207class TFBertForMultipleChoice:208 def __init__(self, *args, **kwargs):209 requires_tf(self)210 @classmethod211 def from_pretrained(self, *args, **kwargs):212 requires_tf(self)213class TFBertForNextSentencePrediction:214 def __init__(self, *args, **kwargs):215 requires_tf(self)216class TFBertForPreTraining:217 def __init__(self, *args, **kwargs):218 requires_tf(self)219class TFBertForQuestionAnswering:220 def __init__(self, *args, **kwargs):221 requires_tf(self)222 @classmethod223 def from_pretrained(self, *args, **kwargs):224 requires_tf(self)225class TFBertForSequenceClassification:226 def __init__(self, *args, **kwargs):227 requires_tf(self)228 @classmethod229 def from_pretrained(self, *args, **kwargs):230 requires_tf(self)231class TFBertForTokenClassification:232 def __init__(self, *args, **kwargs):233 requires_tf(self)234 @classmethod235 def from_pretrained(self, *args, **kwargs):236 requires_tf(self)237class TFBertLMHeadModel:238 def __init__(self, *args, **kwargs):239 requires_tf(self)240 @classmethod241 def from_pretrained(self, *args, **kwargs):242 requires_tf(self)243class TFBertMainLayer:244 def __init__(self, *args, **kwargs):245 requires_tf(self)246class TFBertModel:247 def __init__(self, *args, **kwargs):248 requires_tf(self)249 @classmethod250 def from_pretrained(self, *args, **kwargs):251 requires_tf(self)252class TFBertPreTrainedModel:253 def __init__(self, *args, **kwargs):254 requires_tf(self)255 @classmethod256 def from_pretrained(self, *args, **kwargs):257 requires_tf(self)258class TFBlenderbotForConditionalGeneration:259 def __init__(self, *args, **kwargs):260 requires_tf(self)261 @classmethod262 def from_pretrained(self, *args, **kwargs):263 requires_tf(self)264class TFBlenderbotModel:265 def __init__(self, *args, **kwargs):266 requires_tf(self)267 @classmethod268 def from_pretrained(self, *args, **kwargs):269 requires_tf(self)270class TFBlenderbotSmallForConditionalGeneration:271 def __init__(self, *args, **kwargs):272 requires_tf(self)273 @classmethod274 def from_pretrained(self, *args, **kwargs):275 requires_tf(self)276class TFBlenderbotSmallModel:277 def __init__(self, *args, **kwargs):278 requires_tf(self)279 @classmethod280 def from_pretrained(self, *args, **kwargs):281 requires_tf(self)282TF_CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None283class TFCamembertForMaskedLM:284 def __init__(self, *args, **kwargs):285 requires_tf(self)286 @classmethod287 def from_pretrained(self, *args, **kwargs):288 requires_tf(self)289class TFCamembertForMultipleChoice:290 def __init__(self, *args, **kwargs):291 requires_tf(self)292 @classmethod293 def from_pretrained(self, *args, **kwargs):294 requires_tf(self)295class TFCamembertForQuestionAnswering:296 def __init__(self, *args, **kwargs):297 requires_tf(self)298 @classmethod299 def from_pretrained(self, *args, **kwargs):300 requires_tf(self)301class TFCamembertForSequenceClassification:302 def __init__(self, *args, **kwargs):303 requires_tf(self)304 @classmethod305 def from_pretrained(self, *args, **kwargs):306 requires_tf(self)307class TFCamembertForTokenClassification:308 def __init__(self, *args, **kwargs):309 requires_tf(self)310 @classmethod311 def from_pretrained(self, *args, **kwargs):312 requires_tf(self)313class TFCamembertModel:314 def __init__(self, *args, **kwargs):315 requires_tf(self)316 @classmethod317 def from_pretrained(self, *args, **kwargs):318 requires_tf(self)319TF_CONVBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None320class TFConvBertForMaskedLM:321 def __init__(self, *args, **kwargs):322 requires_tf(self)323 @classmethod324 def from_pretrained(self, *args, **kwargs):325 requires_tf(self)326class TFConvBertForMultipleChoice:327 def __init__(self, *args, **kwargs):328 requires_tf(self)329 @classmethod330 def from_pretrained(self, *args, **kwargs):331 requires_tf(self)332class TFConvBertForQuestionAnswering:333 def __init__(self, *args, **kwargs):334 requires_tf(self)335 @classmethod336 def from_pretrained(self, *args, **kwargs):337 requires_tf(self)338class TFConvBertForSequenceClassification:339 def __init__(self, *args, **kwargs):340 requires_tf(self)341 @classmethod342 def from_pretrained(self, *args, **kwargs):343 requires_tf(self)344class TFConvBertForTokenClassification:345 def __init__(self, *args, **kwargs):346 requires_tf(self)347 @classmethod348 def from_pretrained(self, *args, **kwargs):349 requires_tf(self)350class TFConvBertLayer:351 def __init__(self, *args, **kwargs):352 requires_tf(self)353class TFConvBertModel:354 def __init__(self, *args, **kwargs):355 requires_tf(self)356 @classmethod357 def from_pretrained(self, *args, **kwargs):358 requires_tf(self)359class TFConvBertPreTrainedModel:360 def __init__(self, *args, **kwargs):361 requires_tf(self)362 @classmethod363 def from_pretrained(self, *args, **kwargs):364 requires_tf(self)365TF_CTRL_PRETRAINED_MODEL_ARCHIVE_LIST = None366class TFCTRLForSequenceClassification:367 def __init__(self, *args, **kwargs):368 requires_tf(self)369 @classmethod370 def from_pretrained(self, *args, **kwargs):371 requires_tf(self)372class TFCTRLLMHeadModel:373 def __init__(self, *args, **kwargs):374 requires_tf(self)375 @classmethod376 def from_pretrained(self, *args, **kwargs):377 requires_tf(self)378class TFCTRLModel:379 def __init__(self, *args, **kwargs):380 requires_tf(self)381 @classmethod382 def from_pretrained(self, *args, **kwargs):383 requires_tf(self)384class TFCTRLPreTrainedModel:385 def __init__(self, *args, **kwargs):386 requires_tf(self)387 @classmethod388 def from_pretrained(self, *args, **kwargs):389 requires_tf(self)390TF_DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None391class TFDistilBertForMaskedLM:392 def __init__(self, *args, **kwargs):393 requires_tf(self)394 @classmethod395 def from_pretrained(self, *args, **kwargs):396 requires_tf(self)397class TFDistilBertForMultipleChoice:398 def __init__(self, *args, **kwargs):399 requires_tf(self)400 @classmethod401 def from_pretrained(self, *args, **kwargs):402 requires_tf(self)403class TFDistilBertForQuestionAnswering:404 def __init__(self, *args, **kwargs):405 requires_tf(self)406 @classmethod407 def from_pretrained(self, *args, **kwargs):408 requires_tf(self)409class TFDistilBertForSequenceClassification:410 def __init__(self, *args, **kwargs):411 requires_tf(self)412 @classmethod413 def from_pretrained(self, *args, **kwargs):414 requires_tf(self)415class TFDistilBertForTokenClassification:416 def __init__(self, *args, **kwargs):417 requires_tf(self)418 @classmethod419 def from_pretrained(self, *args, **kwargs):420 requires_tf(self)421class TFDistilBertMainLayer:422 def __init__(self, *args, **kwargs):423 requires_tf(self)424class TFDistilBertModel:425 def __init__(self, *args, **kwargs):426 requires_tf(self)427 @classmethod428 def from_pretrained(self, *args, **kwargs):429 requires_tf(self)430class TFDistilBertPreTrainedModel:431 def __init__(self, *args, **kwargs):432 requires_tf(self)433 @classmethod434 def from_pretrained(self, *args, **kwargs):435 requires_tf(self)436TF_DPR_CONTEXT_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST = None437TF_DPR_QUESTION_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST = None438TF_DPR_READER_PRETRAINED_MODEL_ARCHIVE_LIST = None439class TFDPRContextEncoder:440 def __init__(self, *args, **kwargs):441 requires_tf(self)442class TFDPRPretrainedContextEncoder:443 def __init__(self, *args, **kwargs):444 requires_tf(self)445class TFDPRPretrainedQuestionEncoder:446 def __init__(self, *args, **kwargs):447 requires_tf(self)448class TFDPRPretrainedReader:449 def __init__(self, *args, **kwargs):450 requires_tf(self)451class TFDPRQuestionEncoder:452 def __init__(self, *args, **kwargs):453 requires_tf(self)454class TFDPRReader:455 def __init__(self, *args, **kwargs):456 requires_tf(self)457TF_ELECTRA_PRETRAINED_MODEL_ARCHIVE_LIST = None458class TFElectraForMaskedLM:459 def __init__(self, *args, **kwargs):460 requires_tf(self)461 @classmethod462 def from_pretrained(self, *args, **kwargs):463 requires_tf(self)464class TFElectraForMultipleChoice:465 def __init__(self, *args, **kwargs):466 requires_tf(self)467 @classmethod468 def from_pretrained(self, *args, **kwargs):469 requires_tf(self)470class TFElectraForPreTraining:471 def __init__(self, *args, **kwargs):472 requires_tf(self)473class TFElectraForQuestionAnswering:474 def __init__(self, *args, **kwargs):475 requires_tf(self)476 @classmethod477 def from_pretrained(self, *args, **kwargs):478 requires_tf(self)479class TFElectraForSequenceClassification:480 def __init__(self, *args, **kwargs):481 requires_tf(self)482 @classmethod483 def from_pretrained(self, *args, **kwargs):484 requires_tf(self)485class TFElectraForTokenClassification:486 def __init__(self, *args, **kwargs):487 requires_tf(self)488 @classmethod489 def from_pretrained(self, *args, **kwargs):490 requires_tf(self)491class TFElectraModel:492 def __init__(self, *args, **kwargs):493 requires_tf(self)494 @classmethod495 def from_pretrained(self, *args, **kwargs):496 requires_tf(self)497class TFElectraPreTrainedModel:498 def __init__(self, *args, **kwargs):499 requires_tf(self)500 @classmethod501 def from_pretrained(self, *args, **kwargs):502 requires_tf(self)503TF_FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None504class TFFlaubertForMultipleChoice:505 def __init__(self, *args, **kwargs):506 requires_tf(self)507 @classmethod508 def from_pretrained(self, *args, **kwargs):509 requires_tf(self)510class TFFlaubertForQuestionAnsweringSimple:511 def __init__(self, *args, **kwargs):512 requires_tf(self)513 @classmethod514 def from_pretrained(self, *args, **kwargs):515 requires_tf(self)516class TFFlaubertForSequenceClassification:517 def __init__(self, *args, **kwargs):518 requires_tf(self)519 @classmethod520 def from_pretrained(self, *args, **kwargs):521 requires_tf(self)522class TFFlaubertForTokenClassification:523 def __init__(self, *args, **kwargs):524 requires_tf(self)525 @classmethod526 def from_pretrained(self, *args, **kwargs):527 requires_tf(self)528class TFFlaubertModel:529 def __init__(self, *args, **kwargs):530 requires_tf(self)531 @classmethod532 def from_pretrained(self, *args, **kwargs):533 requires_tf(self)534class TFFlaubertWithLMHeadModel:535 def __init__(self, *args, **kwargs):536 requires_tf(self)537 @classmethod538 def from_pretrained(self, *args, **kwargs):539 requires_tf(self)540TF_FUNNEL_PRETRAINED_MODEL_ARCHIVE_LIST = None541class TFFunnelBaseModel:542 def __init__(self, *args, **kwargs):543 requires_tf(self)544 @classmethod545 def from_pretrained(self, *args, **kwargs):546 requires_tf(self)547class TFFunnelForMaskedLM:548 def __init__(self, *args, **kwargs):549 requires_tf(self)550 @classmethod551 def from_pretrained(self, *args, **kwargs):552 requires_tf(self)553class TFFunnelForMultipleChoice:554 def __init__(self, *args, **kwargs):555 requires_tf(self)556 @classmethod557 def from_pretrained(self, *args, **kwargs):558 requires_tf(self)559class TFFunnelForPreTraining:560 def __init__(self, *args, **kwargs):561 requires_tf(self)562class TFFunnelForQuestionAnswering:563 def __init__(self, *args, **kwargs):564 requires_tf(self)565 @classmethod566 def from_pretrained(self, *args, **kwargs):567 requires_tf(self)568class TFFunnelForSequenceClassification:569 def __init__(self, *args, **kwargs):570 requires_tf(self)571 @classmethod572 def from_pretrained(self, *args, **kwargs):573 requires_tf(self)574class TFFunnelForTokenClassification:575 def __init__(self, *args, **kwargs):576 requires_tf(self)577 @classmethod578 def from_pretrained(self, *args, **kwargs):579 requires_tf(self)580class TFFunnelModel:581 def __init__(self, *args, **kwargs):582 requires_tf(self)583 @classmethod584 def from_pretrained(self, *args, **kwargs):585 requires_tf(self)586TF_GPT2_PRETRAINED_MODEL_ARCHIVE_LIST = None587class TFGPT2DoubleHeadsModel:588 def __init__(self, *args, **kwargs):589 requires_tf(self)590 @classmethod591 def from_pretrained(self, *args, **kwargs):592 requires_tf(self)593class TFGPT2ForSequenceClassification:594 def __init__(self, *args, **kwargs):595 requires_tf(self)596 @classmethod597 def from_pretrained(self, *args, **kwargs):598 requires_tf(self)599class TFGPT2LMHeadModel:600 def __init__(self, *args, **kwargs):601 requires_tf(self)602 @classmethod603 def from_pretrained(self, *args, **kwargs):604 requires_tf(self)605class TFGPT2MainLayer:606 def __init__(self, *args, **kwargs):607 requires_tf(self)608class TFGPT2Model:609 def __init__(self, *args, **kwargs):610 requires_tf(self)611 @classmethod612 def from_pretrained(self, *args, **kwargs):613 requires_tf(self)614class TFGPT2PreTrainedModel:615 def __init__(self, *args, **kwargs):616 requires_tf(self)617 @classmethod618 def from_pretrained(self, *args, **kwargs):619 requires_tf(self)620class TFLEDForConditionalGeneration:621 def __init__(self, *args, **kwargs):622 requires_tf(self)623 @classmethod624 def from_pretrained(self, *args, **kwargs):625 requires_tf(self)626class TFLEDModel:627 def __init__(self, *args, **kwargs):628 requires_tf(self)629 @classmethod630 def from_pretrained(self, *args, **kwargs):631 requires_tf(self)632class TFLEDPreTrainedModel:633 def __init__(self, *args, **kwargs):634 requires_tf(self)635 @classmethod636 def from_pretrained(self, *args, **kwargs):637 requires_tf(self)638TF_LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST = None639class TFLongformerForMaskedLM:640 def __init__(self, *args, **kwargs):641 requires_tf(self)642 @classmethod643 def from_pretrained(self, *args, **kwargs):644 requires_tf(self)645class TFLongformerForMultipleChoice:646 def __init__(self, *args, **kwargs):647 requires_tf(self)648 @classmethod649 def from_pretrained(self, *args, **kwargs):650 requires_tf(self)651class TFLongformerForQuestionAnswering:652 def __init__(self, *args, **kwargs):653 requires_tf(self)654 @classmethod655 def from_pretrained(self, *args, **kwargs):656 requires_tf(self)657class TFLongformerForSequenceClassification:658 def __init__(self, *args, **kwargs):659 requires_tf(self)660 @classmethod661 def from_pretrained(self, *args, **kwargs):662 requires_tf(self)663class TFLongformerForTokenClassification:664 def __init__(self, *args, **kwargs):665 requires_tf(self)666 @classmethod667 def from_pretrained(self, *args, **kwargs):668 requires_tf(self)669class TFLongformerModel:670 def __init__(self, *args, **kwargs):671 requires_tf(self)672 @classmethod673 def from_pretrained(self, *args, **kwargs):674 requires_tf(self)675class TFLongformerSelfAttention:676 def __init__(self, *args, **kwargs):677 requires_tf(self)678TF_LXMERT_PRETRAINED_MODEL_ARCHIVE_LIST = None679class TFLxmertForPreTraining:680 def __init__(self, *args, **kwargs):681 requires_tf(self)682class TFLxmertMainLayer:683 def __init__(self, *args, **kwargs):684 requires_tf(self)685class TFLxmertModel:686 def __init__(self, *args, **kwargs):687 requires_tf(self)688 @classmethod689 def from_pretrained(self, *args, **kwargs):690 requires_tf(self)691class TFLxmertPreTrainedModel:692 def __init__(self, *args, **kwargs):693 requires_tf(self)694 @classmethod695 def from_pretrained(self, *args, **kwargs):696 requires_tf(self)697class TFLxmertVisualFeatureEncoder:698 def __init__(self, *args, **kwargs):699 requires_tf(self)700class TFMarianModel:701 def __init__(self, *args, **kwargs):702 requires_tf(self)703 @classmethod704 def from_pretrained(self, *args, **kwargs):705 requires_tf(self)706class TFMarianMTModel:707 def __init__(self, *args, **kwargs):708 requires_tf(self)709 @classmethod710 def from_pretrained(self, *args, **kwargs):711 requires_tf(self)712class TFMBartForConditionalGeneration:713 def __init__(self, *args, **kwargs):714 requires_tf(self)715 @classmethod716 def from_pretrained(self, *args, **kwargs):717 requires_tf(self)718class TFMBartModel:719 def __init__(self, *args, **kwargs):720 requires_tf(self)721 @classmethod722 def from_pretrained(self, *args, **kwargs):723 requires_tf(self)724TF_MOBILEBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None725class TFMobileBertForMaskedLM:726 def __init__(self, *args, **kwargs):727 requires_tf(self)728 @classmethod729 def from_pretrained(self, *args, **kwargs):730 requires_tf(self)731class TFMobileBertForMultipleChoice:732 def __init__(self, *args, **kwargs):733 requires_tf(self)734 @classmethod735 def from_pretrained(self, *args, **kwargs):736 requires_tf(self)737class TFMobileBertForNextSentencePrediction:738 def __init__(self, *args, **kwargs):739 requires_tf(self)740class TFMobileBertForPreTraining:741 def __init__(self, *args, **kwargs):742 requires_tf(self)743class TFMobileBertForQuestionAnswering:744 def __init__(self, *args, **kwargs):745 requires_tf(self)746 @classmethod747 def from_pretrained(self, *args, **kwargs):748 requires_tf(self)749class TFMobileBertForSequenceClassification:750 def __init__(self, *args, **kwargs):751 requires_tf(self)752 @classmethod753 def from_pretrained(self, *args, **kwargs):754 requires_tf(self)755class TFMobileBertForTokenClassification:756 def __init__(self, *args, **kwargs):757 requires_tf(self)758 @classmethod759 def from_pretrained(self, *args, **kwargs):760 requires_tf(self)761class TFMobileBertMainLayer:762 def __init__(self, *args, **kwargs):763 requires_tf(self)764class TFMobileBertModel:765 def __init__(self, *args, **kwargs):766 requires_tf(self)767 @classmethod768 def from_pretrained(self, *args, **kwargs):769 requires_tf(self)770class TFMobileBertPreTrainedModel:771 def __init__(self, *args, **kwargs):772 requires_tf(self)773 @classmethod774 def from_pretrained(self, *args, **kwargs):775 requires_tf(self)776TF_MPNET_PRETRAINED_MODEL_ARCHIVE_LIST = None777class TFMPNetForMaskedLM:778 def __init__(self, *args, **kwargs):779 requires_tf(self)780 @classmethod781 def from_pretrained(self, *args, **kwargs):782 requires_tf(self)783class TFMPNetForMultipleChoice:784 def __init__(self, *args, **kwargs):785 requires_tf(self)786 @classmethod787 def from_pretrained(self, *args, **kwargs):788 requires_tf(self)789class TFMPNetForQuestionAnswering:790 def __init__(self, *args, **kwargs):791 requires_tf(self)792 @classmethod793 def from_pretrained(self, *args, **kwargs):794 requires_tf(self)795class TFMPNetForSequenceClassification:796 def __init__(self, *args, **kwargs):797 requires_tf(self)798 @classmethod799 def from_pretrained(self, *args, **kwargs):800 requires_tf(self)801class TFMPNetForTokenClassification:802 def __init__(self, *args, **kwargs):803 requires_tf(self)804 @classmethod805 def from_pretrained(self, *args, **kwargs):806 requires_tf(self)807class TFMPNetMainLayer:808 def __init__(self, *args, **kwargs):809 requires_tf(self)810class TFMPNetModel:811 def __init__(self, *args, **kwargs):812 requires_tf(self)813 @classmethod814 def from_pretrained(self, *args, **kwargs):815 requires_tf(self)816class TFMPNetPreTrainedModel:817 def __init__(self, *args, **kwargs):818 requires_tf(self)819 @classmethod820 def from_pretrained(self, *args, **kwargs):821 requires_tf(self)822class TFMT5EncoderModel:823 def __init__(self, *args, **kwargs):824 requires_tf(self)825 @classmethod826 def from_pretrained(self, *args, **kwargs):827 requires_tf(self)828class TFMT5ForConditionalGeneration:829 def __init__(self, *args, **kwargs):830 requires_tf(self)831 @classmethod832 def from_pretrained(self, *args, **kwargs):833 requires_tf(self)834class TFMT5Model:835 def __init__(self, *args, **kwargs):836 requires_tf(self)837 @classmethod838 def from_pretrained(self, *args, **kwargs):839 requires_tf(self)840TF_OPENAI_GPT_PRETRAINED_MODEL_ARCHIVE_LIST = None841class TFOpenAIGPTDoubleHeadsModel:842 def __init__(self, *args, **kwargs):843 requires_tf(self)844 @classmethod845 def from_pretrained(self, *args, **kwargs):846 requires_tf(self)847class TFOpenAIGPTForSequenceClassification:848 def __init__(self, *args, **kwargs):849 requires_tf(self)850 @classmethod851 def from_pretrained(self, *args, **kwargs):852 requires_tf(self)853class TFOpenAIGPTLMHeadModel:854 def __init__(self, *args, **kwargs):855 requires_tf(self)856 @classmethod857 def from_pretrained(self, *args, **kwargs):858 requires_tf(self)859class TFOpenAIGPTMainLayer:860 def __init__(self, *args, **kwargs):861 requires_tf(self)862class TFOpenAIGPTModel:863 def __init__(self, *args, **kwargs):864 requires_tf(self)865 @classmethod866 def from_pretrained(self, *args, **kwargs):867 requires_tf(self)868class TFOpenAIGPTPreTrainedModel:869 def __init__(self, *args, **kwargs):870 requires_tf(self)871 @classmethod872 def from_pretrained(self, *args, **kwargs):873 requires_tf(self)874class TFPegasusForConditionalGeneration:875 def __init__(self, *args, **kwargs):876 requires_tf(self)877 @classmethod878 def from_pretrained(self, *args, **kwargs):879 requires_tf(self)880class TFPegasusModel:881 def __init__(self, *args, **kwargs):882 requires_tf(self)883 @classmethod884 def from_pretrained(self, *args, **kwargs):885 requires_tf(self)886class TFRagModel:887 def __init__(self, *args, **kwargs):888 requires_tf(self)889 @classmethod890 def from_pretrained(self, *args, **kwargs):891 requires_tf(self)892class TFRagSequenceForGeneration:893 def __init__(self, *args, **kwargs):894 requires_tf(self)895class TFRagTokenForGeneration:896 def __init__(self, *args, **kwargs):897 requires_tf(self)898TF_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST = None899class TFRobertaForMaskedLM:900 def __init__(self, *args, **kwargs):901 requires_tf(self)902 @classmethod903 def from_pretrained(self, *args, **kwargs):904 requires_tf(self)905class TFRobertaForMultipleChoice:906 def __init__(self, *args, **kwargs):907 requires_tf(self)908 @classmethod909 def from_pretrained(self, *args, **kwargs):910 requires_tf(self)911class TFRobertaForQuestionAnswering:912 def __init__(self, *args, **kwargs):913 requires_tf(self)914 @classmethod915 def from_pretrained(self, *args, **kwargs):916 requires_tf(self)917class TFRobertaForSequenceClassification:918 def __init__(self, *args, **kwargs):919 requires_tf(self)920 @classmethod921 def from_pretrained(self, *args, **kwargs):922 requires_tf(self)923class TFRobertaForTokenClassification:924 def __init__(self, *args, **kwargs):925 requires_tf(self)926 @classmethod927 def from_pretrained(self, *args, **kwargs):928 requires_tf(self)929class TFRobertaMainLayer:930 def __init__(self, *args, **kwargs):931 requires_tf(self)932class TFRobertaModel:933 def __init__(self, *args, **kwargs):934 requires_tf(self)935 @classmethod936 def from_pretrained(self, *args, **kwargs):937 requires_tf(self)938class TFRobertaPreTrainedModel:939 def __init__(self, *args, **kwargs):940 requires_tf(self)941 @classmethod942 def from_pretrained(self, *args, **kwargs):943 requires_tf(self)944TF_T5_PRETRAINED_MODEL_ARCHIVE_LIST = None945class TFT5EncoderModel:946 def __init__(self, *args, **kwargs):947 requires_tf(self)948 @classmethod949 def from_pretrained(self, *args, **kwargs):950 requires_tf(self)951class TFT5ForConditionalGeneration:952 def __init__(self, *args, **kwargs):953 requires_tf(self)954 @classmethod955 def from_pretrained(self, *args, **kwargs):956 requires_tf(self)957class TFT5Model:958 def __init__(self, *args, **kwargs):959 requires_tf(self)960 @classmethod961 def from_pretrained(self, *args, **kwargs):962 requires_tf(self)963class TFT5PreTrainedModel:964 def __init__(self, *args, **kwargs):965 requires_tf(self)966 @classmethod967 def from_pretrained(self, *args, **kwargs):968 requires_tf(self)969TF_TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST = None970class TFAdaptiveEmbedding:971 def __init__(self, *args, **kwargs):972 requires_tf(self)973class TFTransfoXLForSequenceClassification:974 def __init__(self, *args, **kwargs):975 requires_tf(self)976 @classmethod977 def from_pretrained(self, *args, **kwargs):978 requires_tf(self)979class TFTransfoXLLMHeadModel:980 def __init__(self, *args, **kwargs):981 requires_tf(self)982 @classmethod983 def from_pretrained(self, *args, **kwargs):984 requires_tf(self)985class TFTransfoXLMainLayer:986 def __init__(self, *args, **kwargs):987 requires_tf(self)988class TFTransfoXLModel:989 def __init__(self, *args, **kwargs):990 requires_tf(self)991 @classmethod992 def from_pretrained(self, *args, **kwargs):993 requires_tf(self)994class TFTransfoXLPreTrainedModel:995 def __init__(self, *args, **kwargs):996 requires_tf(self)997 @classmethod998 def from_pretrained(self, *args, **kwargs):999 requires_tf(self)1000TF_XLM_PRETRAINED_MODEL_ARCHIVE_LIST = None1001class TFXLMForMultipleChoice:1002 def __init__(self, *args, **kwargs):1003 requires_tf(self)1004 @classmethod1005 def from_pretrained(self, *args, **kwargs):1006 requires_tf(self)1007class TFXLMForQuestionAnsweringSimple:1008 def __init__(self, *args, **kwargs):1009 requires_tf(self)1010 @classmethod1011 def from_pretrained(self, *args, **kwargs):1012 requires_tf(self)1013class TFXLMForSequenceClassification:1014 def __init__(self, *args, **kwargs):1015 requires_tf(self)1016 @classmethod1017 def from_pretrained(self, *args, **kwargs):1018 requires_tf(self)1019class TFXLMForTokenClassification:1020 def __init__(self, *args, **kwargs):1021 requires_tf(self)1022 @classmethod1023 def from_pretrained(self, *args, **kwargs):1024 requires_tf(self)1025class TFXLMMainLayer:1026 def __init__(self, *args, **kwargs):1027 requires_tf(self)1028class TFXLMModel:1029 def __init__(self, *args, **kwargs):1030 requires_tf(self)1031 @classmethod1032 def from_pretrained(self, *args, **kwargs):1033 requires_tf(self)1034class TFXLMPreTrainedModel:1035 def __init__(self, *args, **kwargs):1036 requires_tf(self)1037 @classmethod1038 def from_pretrained(self, *args, **kwargs):1039 requires_tf(self)1040class TFXLMWithLMHeadModel:1041 def __init__(self, *args, **kwargs):1042 requires_tf(self)1043 @classmethod1044 def from_pretrained(self, *args, **kwargs):1045 requires_tf(self)1046TF_XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST = None1047class TFXLMRobertaForMaskedLM:1048 def __init__(self, *args, **kwargs):1049 requires_tf(self)1050 @classmethod1051 def from_pretrained(self, *args, **kwargs):1052 requires_tf(self)1053class TFXLMRobertaForMultipleChoice:1054 def __init__(self, *args, **kwargs):1055 requires_tf(self)1056 @classmethod1057 def from_pretrained(self, *args, **kwargs):1058 requires_tf(self)1059class TFXLMRobertaForQuestionAnswering:1060 def __init__(self, *args, **kwargs):1061 requires_tf(self)1062 @classmethod1063 def from_pretrained(self, *args, **kwargs):1064 requires_tf(self)1065class TFXLMRobertaForSequenceClassification:1066 def __init__(self, *args, **kwargs):1067 requires_tf(self)1068 @classmethod1069 def from_pretrained(self, *args, **kwargs):1070 requires_tf(self)1071class TFXLMRobertaForTokenClassification:1072 def __init__(self, *args, **kwargs):1073 requires_tf(self)1074 @classmethod1075 def from_pretrained(self, *args, **kwargs):1076 requires_tf(self)1077class TFXLMRobertaModel:1078 def __init__(self, *args, **kwargs):1079 requires_tf(self)1080 @classmethod1081 def from_pretrained(self, *args, **kwargs):1082 requires_tf(self)1083TF_XLNET_PRETRAINED_MODEL_ARCHIVE_LIST = None1084class TFXLNetForMultipleChoice:1085 def __init__(self, *args, **kwargs):1086 requires_tf(self)1087 @classmethod1088 def from_pretrained(self, *args, **kwargs):1089 requires_tf(self)1090class TFXLNetForQuestionAnsweringSimple:1091 def __init__(self, *args, **kwargs):1092 requires_tf(self)1093 @classmethod1094 def from_pretrained(self, *args, **kwargs):1095 requires_tf(self)1096class TFXLNetForSequenceClassification:1097 def __init__(self, *args, **kwargs):1098 requires_tf(self)1099 @classmethod1100 def from_pretrained(self, *args, **kwargs):1101 requires_tf(self)1102class TFXLNetForTokenClassification:1103 def __init__(self, *args, **kwargs):1104 requires_tf(self)1105 @classmethod1106 def from_pretrained(self, *args, **kwargs):1107 requires_tf(self)1108class TFXLNetLMHeadModel:1109 def __init__(self, *args, **kwargs):1110 requires_tf(self)1111 @classmethod1112 def from_pretrained(self, *args, **kwargs):1113 requires_tf(self)1114class TFXLNetMainLayer:1115 def __init__(self, *args, **kwargs):1116 requires_tf(self)1117class TFXLNetModel:1118 def __init__(self, *args, **kwargs):1119 requires_tf(self)1120 @classmethod1121 def from_pretrained(self, *args, **kwargs):1122 requires_tf(self)1123class TFXLNetPreTrainedModel:1124 def __init__(self, *args, **kwargs):1125 requires_tf(self)1126 @classmethod1127 def from_pretrained(self, *args, **kwargs):1128 requires_tf(self)1129class AdamWeightDecay:1130 def __init__(self, *args, **kwargs):1131 requires_tf(self)1132class GradientAccumulator:1133 def __init__(self, *args, **kwargs):1134 requires_tf(self)1135class WarmUp:1136 def __init__(self, *args, **kwargs):1137 requires_tf(self)1138def create_optimizer(*args, **kwargs):1139 requires_tf(create_optimizer)1140class TFTrainer:1141 def __init__(self, *args, **kwargs):...

dummy_flax_objects.py

Source:dummy_flax_objects.py

1# This file is autogenerated by the command `make fix-copies`, do not edit.2from ..file_utils import requires_backends3class FlaxForcedBOSTokenLogitsProcessor:4 def __init__(self, *args, **kwargs):5 requires_backends(self, ["flax"])6 @classmethod7 def from_pretrained(cls, *args, **kwargs):8 requires_backends(cls, ["flax"])9class FlaxForcedEOSTokenLogitsProcessor:10 def __init__(self, *args, **kwargs):11 requires_backends(self, ["flax"])12 @classmethod13 def from_pretrained(cls, *args, **kwargs):14 requires_backends(cls, ["flax"])15class FlaxLogitsProcessor:16 def __init__(self, *args, **kwargs):17 requires_backends(self, ["flax"])18 @classmethod19 def from_pretrained(cls, *args, **kwargs):20 requires_backends(cls, ["flax"])21class FlaxLogitsProcessorList:22 def __init__(self, *args, **kwargs):23 requires_backends(self, ["flax"])24 @classmethod25 def from_pretrained(cls, *args, **kwargs):26 requires_backends(cls, ["flax"])27class FlaxLogitsWarper:28 def __init__(self, *args, **kwargs):29 requires_backends(self, ["flax"])30class FlaxMinLengthLogitsProcessor:31 def __init__(self, *args, **kwargs):32 requires_backends(self, ["flax"])33 @classmethod34 def from_pretrained(cls, *args, **kwargs):35 requires_backends(cls, ["flax"])36class FlaxTemperatureLogitsWarper:37 def __init__(self, *args, **kwargs):38 requires_backends(self, ["flax"])39class FlaxTopKLogitsWarper:40 def __init__(self, *args, **kwargs):41 requires_backends(self, ["flax"])42class FlaxTopPLogitsWarper:43 def __init__(self, *args, **kwargs):44 requires_backends(self, ["flax"])45class FlaxPreTrainedModel:46 def __init__(self, *args, **kwargs):47 requires_backends(self, ["flax"])48 @classmethod49 def from_pretrained(cls, *args, **kwargs):50 requires_backends(cls, ["flax"])51class FlaxAlbertForMaskedLM:52 def __init__(self, *args, **kwargs):53 requires_backends(self, ["flax"])54 @classmethod55 def from_pretrained(cls, *args, **kwargs):56 requires_backends(cls, ["flax"])57class FlaxAlbertForMultipleChoice:58 def __init__(self, *args, **kwargs):59 requires_backends(self, ["flax"])60 @classmethod61 def from_pretrained(cls, *args, **kwargs):62 requires_backends(cls, ["flax"])63class FlaxAlbertForPreTraining:64 def __init__(self, *args, **kwargs):65 requires_backends(self, ["flax"])66class FlaxAlbertForQuestionAnswering:67 def __init__(self, *args, **kwargs):68 requires_backends(self, ["flax"])69 @classmethod70 def from_pretrained(cls, *args, **kwargs):71 requires_backends(cls, ["flax"])72class FlaxAlbertForSequenceClassification:73 def __init__(self, *args, **kwargs):74 requires_backends(self, ["flax"])75 @classmethod76 def from_pretrained(cls, *args, **kwargs):77 requires_backends(cls, ["flax"])78class FlaxAlbertForTokenClassification:79 def __init__(self, *args, **kwargs):80 requires_backends(self, ["flax"])81 @classmethod82 def from_pretrained(cls, *args, **kwargs):83 requires_backends(cls, ["flax"])84class FlaxAlbertModel:85 def __init__(self, *args, **kwargs):86 requires_backends(self, ["flax"])87 @classmethod88 def from_pretrained(cls, *args, **kwargs):89 requires_backends(cls, ["flax"])90class FlaxAlbertPreTrainedModel:91 def __init__(self, *args, **kwargs):92 requires_backends(self, ["flax"])93 @classmethod94 def from_pretrained(cls, *args, **kwargs):95 requires_backends(cls, ["flax"])96FLAX_MODEL_FOR_CAUSAL_LM_MAPPING = None97FLAX_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING = None98FLAX_MODEL_FOR_MASKED_LM_MAPPING = None99FLAX_MODEL_FOR_MULTIPLE_CHOICE_MAPPING = None100FLAX_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING = None101FLAX_MODEL_FOR_PRETRAINING_MAPPING = None102FLAX_MODEL_FOR_QUESTION_ANSWERING_MAPPING = None103FLAX_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING = None104FLAX_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING = None105FLAX_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING = None106FLAX_MODEL_MAPPING = None107class FlaxAutoModel:108 def __init__(self, *args, **kwargs):109 requires_backends(self, ["flax"])110 @classmethod111 def from_pretrained(cls, *args, **kwargs):112 requires_backends(cls, ["flax"])113class FlaxAutoModelForCausalLM:114 def __init__(self, *args, **kwargs):115 requires_backends(self, ["flax"])116 @classmethod117 def from_pretrained(cls, *args, **kwargs):118 requires_backends(cls, ["flax"])119class FlaxAutoModelForImageClassification:120 def __init__(self, *args, **kwargs):121 requires_backends(self, ["flax"])122 @classmethod123 def from_pretrained(cls, *args, **kwargs):124 requires_backends(cls, ["flax"])125class FlaxAutoModelForMaskedLM:126 def __init__(self, *args, **kwargs):127 requires_backends(self, ["flax"])128 @classmethod129 def from_pretrained(cls, *args, **kwargs):130 requires_backends(cls, ["flax"])131class FlaxAutoModelForMultipleChoice:132 def __init__(self, *args, **kwargs):133 requires_backends(self, ["flax"])134 @classmethod135 def from_pretrained(cls, *args, **kwargs):136 requires_backends(cls, ["flax"])137class FlaxAutoModelForNextSentencePrediction:138 def __init__(self, *args, **kwargs):139 requires_backends(self, ["flax"])140 @classmethod141 def from_pretrained(cls, *args, **kwargs):142 requires_backends(cls, ["flax"])143class FlaxAutoModelForPreTraining:144 def __init__(self, *args, **kwargs):145 requires_backends(self, ["flax"])146 @classmethod147 def from_pretrained(cls, *args, **kwargs):148 requires_backends(cls, ["flax"])149class FlaxAutoModelForQuestionAnswering:150 def __init__(self, *args, **kwargs):151 requires_backends(self, ["flax"])152 @classmethod153 def from_pretrained(cls, *args, **kwargs):154 requires_backends(cls, ["flax"])155class FlaxAutoModelForSeq2SeqLM:156 def __init__(self, *args, **kwargs):157 requires_backends(self, ["flax"])158 @classmethod159 def from_pretrained(cls, *args, **kwargs):160 requires_backends(cls, ["flax"])161class FlaxAutoModelForSequenceClassification:162 def __init__(self, *args, **kwargs):163 requires_backends(self, ["flax"])164 @classmethod165 def from_pretrained(cls, *args, **kwargs):166 requires_backends(cls, ["flax"])167class FlaxAutoModelForTokenClassification:168 def __init__(self, *args, **kwargs):169 requires_backends(self, ["flax"])170 @classmethod171 def from_pretrained(cls, *args, **kwargs):172 requires_backends(cls, ["flax"])173class FlaxBartForConditionalGeneration:174 def __init__(self, *args, **kwargs):175 requires_backends(self, ["flax"])176 @classmethod177 def from_pretrained(cls, *args, **kwargs):178 requires_backends(cls, ["flax"])179class FlaxBartForQuestionAnswering:180 def __init__(self, *args, **kwargs):181 requires_backends(self, ["flax"])182 @classmethod183 def from_pretrained(cls, *args, **kwargs):184 requires_backends(cls, ["flax"])185class FlaxBartForSequenceClassification:186 def __init__(self, *args, **kwargs):187 requires_backends(self, ["flax"])188 @classmethod189 def from_pretrained(cls, *args, **kwargs):190 requires_backends(cls, ["flax"])191class FlaxBartModel:192 def __init__(self, *args, **kwargs):193 requires_backends(self, ["flax"])194 @classmethod195 def from_pretrained(cls, *args, **kwargs):196 requires_backends(cls, ["flax"])197class FlaxBartPreTrainedModel:198 def __init__(self, *args, **kwargs):199 requires_backends(self, ["flax"])200 @classmethod201 def from_pretrained(cls, *args, **kwargs):202 requires_backends(cls, ["flax"])203class FlaxBertForMaskedLM:204 def __init__(self, *args, **kwargs):205 requires_backends(self, ["flax"])206 @classmethod207 def from_pretrained(cls, *args, **kwargs):208 requires_backends(cls, ["flax"])209class FlaxBertForMultipleChoice:210 def __init__(self, *args, **kwargs):211 requires_backends(self, ["flax"])212 @classmethod213 def from_pretrained(cls, *args, **kwargs):214 requires_backends(cls, ["flax"])215class FlaxBertForNextSentencePrediction:216 def __init__(self, *args, **kwargs):217 requires_backends(self, ["flax"])218class FlaxBertForPreTraining:219 def __init__(self, *args, **kwargs):220 requires_backends(self, ["flax"])221class FlaxBertForQuestionAnswering:222 def __init__(self, *args, **kwargs):223 requires_backends(self, ["flax"])224 @classmethod225 def from_pretrained(cls, *args, **kwargs):226 requires_backends(cls, ["flax"])227class FlaxBertForSequenceClassification:228 def __init__(self, *args, **kwargs):229 requires_backends(self, ["flax"])230 @classmethod231 def from_pretrained(cls, *args, **kwargs):232 requires_backends(cls, ["flax"])233class FlaxBertForTokenClassification:234 def __init__(self, *args, **kwargs):235 requires_backends(self, ["flax"])236 @classmethod237 def from_pretrained(cls, *args, **kwargs):238 requires_backends(cls, ["flax"])239class FlaxBertModel:240 def __init__(self, *args, **kwargs):241 requires_backends(self, ["flax"])242 @classmethod243 def from_pretrained(cls, *args, **kwargs):244 requires_backends(cls, ["flax"])245class FlaxBertPreTrainedModel:246 def __init__(self, *args, **kwargs):247 requires_backends(self, ["flax"])248 @classmethod249 def from_pretrained(cls, *args, **kwargs):250 requires_backends(cls, ["flax"])251class FlaxBigBirdForMaskedLM:252 def __init__(self, *args, **kwargs):253 requires_backends(self, ["flax"])254 @classmethod255 def from_pretrained(cls, *args, **kwargs):256 requires_backends(cls, ["flax"])257class FlaxBigBirdForMultipleChoice:258 def __init__(self, *args, **kwargs):259 requires_backends(self, ["flax"])260 @classmethod261 def from_pretrained(cls, *args, **kwargs):262 requires_backends(cls, ["flax"])263class FlaxBigBirdForPreTraining:264 def __init__(self, *args, **kwargs):265 requires_backends(self, ["flax"])266class FlaxBigBirdForQuestionAnswering:267 def __init__(self, *args, **kwargs):268 requires_backends(self, ["flax"])269 @classmethod270 def from_pretrained(cls, *args, **kwargs):271 requires_backends(cls, ["flax"])272class FlaxBigBirdForSequenceClassification:273 def __init__(self, *args, **kwargs):274 requires_backends(self, ["flax"])275 @classmethod276 def from_pretrained(cls, *args, **kwargs):277 requires_backends(cls, ["flax"])278class FlaxBigBirdForTokenClassification:279 def __init__(self, *args, **kwargs):280 requires_backends(self, ["flax"])281 @classmethod282 def from_pretrained(cls, *args, **kwargs):283 requires_backends(cls, ["flax"])284class FlaxBigBirdModel:285 def __init__(self, *args, **kwargs):286 requires_backends(self, ["flax"])287 @classmethod288 def from_pretrained(cls, *args, **kwargs):289 requires_backends(cls, ["flax"])290class FlaxBigBirdPreTrainedModel:291 def __init__(self, *args, **kwargs):292 requires_backends(self, ["flax"])293 @classmethod294 def from_pretrained(cls, *args, **kwargs):295 requires_backends(cls, ["flax"])296class FlaxCLIPModel:297 def __init__(self, *args, **kwargs):298 requires_backends(self, ["flax"])299 @classmethod300 def from_pretrained(cls, *args, **kwargs):301 requires_backends(cls, ["flax"])302class FlaxCLIPPreTrainedModel:303 def __init__(self, *args, **kwargs):304 requires_backends(self, ["flax"])305 @classmethod306 def from_pretrained(cls, *args, **kwargs):307 requires_backends(cls, ["flax"])308class FlaxCLIPTextModel:309 def __init__(self, *args, **kwargs):310 requires_backends(self, ["flax"])311 @classmethod312 def from_pretrained(cls, *args, **kwargs):313 requires_backends(cls, ["flax"])314class FlaxCLIPTextPreTrainedModel:315 def __init__(self, *args, **kwargs):316 requires_backends(self, ["flax"])317 @classmethod318 def from_pretrained(cls, *args, **kwargs):319 requires_backends(cls, ["flax"])320class FlaxCLIPVisionModel:321 def __init__(self, *args, **kwargs):322 requires_backends(self, ["flax"])323 @classmethod324 def from_pretrained(cls, *args, **kwargs):325 requires_backends(cls, ["flax"])326class FlaxCLIPVisionPreTrainedModel:327 def __init__(self, *args, **kwargs):328 requires_backends(self, ["flax"])329 @classmethod330 def from_pretrained(cls, *args, **kwargs):331 requires_backends(cls, ["flax"])332class FlaxDistilBertForMaskedLM:333 def __init__(self, *args, **kwargs):334 requires_backends(self, ["flax"])335 @classmethod336 def from_pretrained(cls, *args, **kwargs):337 requires_backends(cls, ["flax"])338class FlaxDistilBertForMultipleChoice:339 def __init__(self, *args, **kwargs):340 requires_backends(self, ["flax"])341 @classmethod342 def from_pretrained(cls, *args, **kwargs):343 requires_backends(cls, ["flax"])344class FlaxDistilBertForQuestionAnswering:345 def __init__(self, *args, **kwargs):346 requires_backends(self, ["flax"])347 @classmethod348 def from_pretrained(cls, *args, **kwargs):349 requires_backends(cls, ["flax"])350class FlaxDistilBertForSequenceClassification:351 def __init__(self, *args, **kwargs):352 requires_backends(self, ["flax"])353 @classmethod354 def from_pretrained(cls, *args, **kwargs):355 requires_backends(cls, ["flax"])356class FlaxDistilBertForTokenClassification:357 def __init__(self, *args, **kwargs):358 requires_backends(self, ["flax"])359 @classmethod360 def from_pretrained(cls, *args, **kwargs):361 requires_backends(cls, ["flax"])362class FlaxDistilBertModel:363 def __init__(self, *args, **kwargs):364 requires_backends(self, ["flax"])365 @classmethod366 def from_pretrained(cls, *args, **kwargs):367 requires_backends(cls, ["flax"])368class FlaxDistilBertPreTrainedModel:369 def __init__(self, *args, **kwargs):370 requires_backends(self, ["flax"])371 @classmethod372 def from_pretrained(cls, *args, **kwargs):373 requires_backends(cls, ["flax"])374class FlaxElectraForMaskedLM:375 def __init__(self, *args, **kwargs):376 requires_backends(self, ["flax"])377 @classmethod378 def from_pretrained(cls, *args, **kwargs):379 requires_backends(cls, ["flax"])380class FlaxElectraForMultipleChoice:381 def __init__(self, *args, **kwargs):382 requires_backends(self, ["flax"])383 @classmethod384 def from_pretrained(cls, *args, **kwargs):385 requires_backends(cls, ["flax"])386class FlaxElectraForPreTraining:387 def __init__(self, *args, **kwargs):388 requires_backends(self, ["flax"])389class FlaxElectraForQuestionAnswering:390 def __init__(self, *args, **kwargs):391 requires_backends(self, ["flax"])392 @classmethod393 def from_pretrained(cls, *args, **kwargs):394 requires_backends(cls, ["flax"])395class FlaxElectraForSequenceClassification:396 def __init__(self, *args, **kwargs):397 requires_backends(self, ["flax"])398 @classmethod399 def from_pretrained(cls, *args, **kwargs):400 requires_backends(cls, ["flax"])401class FlaxElectraForTokenClassification:402 def __init__(self, *args, **kwargs):403 requires_backends(self, ["flax"])404 @classmethod405 def from_pretrained(cls, *args, **kwargs):406 requires_backends(cls, ["flax"])407class FlaxElectraModel:408 def __init__(self, *args, **kwargs):409 requires_backends(self, ["flax"])410 @classmethod411 def from_pretrained(cls, *args, **kwargs):412 requires_backends(cls, ["flax"])413class FlaxElectraPreTrainedModel:414 def __init__(self, *args, **kwargs):415 requires_backends(self, ["flax"])416 @classmethod417 def from_pretrained(cls, *args, **kwargs):418 requires_backends(cls, ["flax"])419class FlaxEncoderDecoderModel:420 def __init__(self, *args, **kwargs):421 requires_backends(self, ["flax"])422 @classmethod423 def from_pretrained(cls, *args, **kwargs):424 requires_backends(cls, ["flax"])425class FlaxGPT2LMHeadModel:426 def __init__(self, *args, **kwargs):427 requires_backends(self, ["flax"])428 @classmethod429 def from_pretrained(cls, *args, **kwargs):430 requires_backends(cls, ["flax"])431class FlaxGPT2Model:432 def __init__(self, *args, **kwargs):433 requires_backends(self, ["flax"])434 @classmethod435 def from_pretrained(cls, *args, **kwargs):436 requires_backends(cls, ["flax"])437class FlaxGPT2PreTrainedModel:438 def __init__(self, *args, **kwargs):439 requires_backends(self, ["flax"])440 @classmethod441 def from_pretrained(cls, *args, **kwargs):442 requires_backends(cls, ["flax"])443class FlaxGPTNeoForCausalLM:444 def __init__(self, *args, **kwargs):445 requires_backends(self, ["flax"])446 @classmethod447 def from_pretrained(cls, *args, **kwargs):448 requires_backends(cls, ["flax"])449class FlaxGPTNeoModel:450 def __init__(self, *args, **kwargs):451 requires_backends(self, ["flax"])452 @classmethod453 def from_pretrained(cls, *args, **kwargs):454 requires_backends(cls, ["flax"])455class FlaxGPTNeoPreTrainedModel:456 def __init__(self, *args, **kwargs):457 requires_backends(self, ["flax"])458 @classmethod459 def from_pretrained(cls, *args, **kwargs):460 requires_backends(cls, ["flax"])461class FlaxMarianModel:462 def __init__(self, *args, **kwargs):463 requires_backends(self, ["flax"])464 @classmethod465 def from_pretrained(cls, *args, **kwargs):466 requires_backends(cls, ["flax"])467class FlaxMarianMTModel:468 def __init__(self, *args, **kwargs):469 requires_backends(self, ["flax"])470 @classmethod471 def from_pretrained(cls, *args, **kwargs):472 requires_backends(cls, ["flax"])473class FlaxMarianPreTrainedModel:474 def __init__(self, *args, **kwargs):475 requires_backends(self, ["flax"])476 @classmethod477 def from_pretrained(cls, *args, **kwargs):478 requires_backends(cls, ["flax"])479class FlaxMBartForConditionalGeneration:480 def __init__(self, *args, **kwargs):481 requires_backends(self, ["flax"])482 @classmethod483 def from_pretrained(cls, *args, **kwargs):484 requires_backends(cls, ["flax"])485class FlaxMBartForQuestionAnswering:486 def __init__(self, *args, **kwargs):487 requires_backends(self, ["flax"])488 @classmethod489 def from_pretrained(cls, *args, **kwargs):490 requires_backends(cls, ["flax"])491class FlaxMBartForSequenceClassification:492 def __init__(self, *args, **kwargs):493 requires_backends(self, ["flax"])494 @classmethod495 def from_pretrained(cls, *args, **kwargs):496 requires_backends(cls, ["flax"])497class FlaxMBartModel:498 def __init__(self, *args, **kwargs):499 requires_backends(self, ["flax"])500 @classmethod501 def from_pretrained(cls, *args, **kwargs):502 requires_backends(cls, ["flax"])503class FlaxMBartPreTrainedModel:504 def __init__(self, *args, **kwargs):505 requires_backends(self, ["flax"])506 @classmethod507 def from_pretrained(cls, *args, **kwargs):508 requires_backends(cls, ["flax"])509class FlaxMT5ForConditionalGeneration:510 def __init__(self, *args, **kwargs):511 requires_backends(self, ["flax"])512 @classmethod513 def from_pretrained(cls, *args, **kwargs):514 requires_backends(cls, ["flax"])515class FlaxMT5Model:516 def __init__(self, *args, **kwargs):517 requires_backends(self, ["flax"])518 @classmethod519 def from_pretrained(cls, *args, **kwargs):520 requires_backends(cls, ["flax"])521class FlaxRobertaForMaskedLM:522 def __init__(self, *args, **kwargs):523 requires_backends(self, ["flax"])524 @classmethod525 def from_pretrained(cls, *args, **kwargs):526 requires_backends(cls, ["flax"])527class FlaxRobertaForMultipleChoice:528 def __init__(self, *args, **kwargs):529 requires_backends(self, ["flax"])530 @classmethod531 def from_pretrained(cls, *args, **kwargs):532 requires_backends(cls, ["flax"])533class FlaxRobertaForQuestionAnswering:534 def __init__(self, *args, **kwargs):535 requires_backends(self, ["flax"])536 @classmethod537 def from_pretrained(cls, *args, **kwargs):538 requires_backends(cls, ["flax"])539class FlaxRobertaForSequenceClassification:540 def __init__(self, *args, **kwargs):541 requires_backends(self, ["flax"])542 @classmethod543 def from_pretrained(cls, *args, **kwargs):544 requires_backends(cls, ["flax"])545class FlaxRobertaForTokenClassification:546 def __init__(self, *args, **kwargs):547 requires_backends(self, ["flax"])548 @classmethod549 def from_pretrained(cls, *args, **kwargs):550 requires_backends(cls, ["flax"])551class FlaxRobertaModel:552 def __init__(self, *args, **kwargs):553 requires_backends(self, ["flax"])554 @classmethod555 def from_pretrained(cls, *args, **kwargs):556 requires_backends(cls, ["flax"])557class FlaxRobertaPreTrainedModel:558 def __init__(self, *args, **kwargs):559 requires_backends(self, ["flax"])560 @classmethod561 def from_pretrained(cls, *args, **kwargs):562 requires_backends(cls, ["flax"])563class FlaxT5ForConditionalGeneration:564 def __init__(self, *args, **kwargs):565 requires_backends(self, ["flax"])566 @classmethod567 def from_pretrained(cls, *args, **kwargs):568 requires_backends(cls, ["flax"])569class FlaxT5Model:570 def __init__(self, *args, **kwargs):571 requires_backends(self, ["flax"])572 @classmethod573 def from_pretrained(cls, *args, **kwargs):574 requires_backends(cls, ["flax"])575class FlaxT5PreTrainedModel:576 def __init__(self, *args, **kwargs):577 requires_backends(self, ["flax"])578 @classmethod579 def from_pretrained(cls, *args, **kwargs):580 requires_backends(cls, ["flax"])581class FlaxViTForImageClassification:582 def __init__(self, *args, **kwargs):583 requires_backends(self, ["flax"])584class FlaxViTModel:585 def __init__(self, *args, **kwargs):586 requires_backends(self, ["flax"])587 @classmethod588 def from_pretrained(cls, *args, **kwargs):589 requires_backends(cls, ["flax"])590class FlaxViTPreTrainedModel:591 def __init__(self, *args, **kwargs):592 requires_backends(self, ["flax"])593 @classmethod594 def from_pretrained(cls, *args, **kwargs):595 requires_backends(cls, ["flax"])596class FlaxWav2Vec2ForCTC:597 def __init__(self, *args, **kwargs):598 requires_backends(self, ["flax"])599class FlaxWav2Vec2ForPreTraining:600 def __init__(self, *args, **kwargs):601 requires_backends(self, ["flax"])602class FlaxWav2Vec2Model:603 def __init__(self, *args, **kwargs):604 requires_backends(self, ["flax"])605 @classmethod606 def from_pretrained(cls, *args, **kwargs):607 requires_backends(cls, ["flax"])608class FlaxWav2Vec2PreTrainedModel:609 def __init__(self, *args, **kwargs):610 requires_backends(self, ["flax"])611 @classmethod612 def from_pretrained(cls, *args, **kwargs):...

test_manifest.py

Source:test_manifest.py

1# This Source Code Form is subject to the terms of the Mozilla Public2# License, v. 2.0. If a copy of the MPL was not distributed with this3# file, You can obtain one at http://mozilla.org/MPL/2.0/.4import unittest5from StringIO import StringIO6from cuddlefish.manifest import scan_module7class Extra:8 def failUnlessKeysAre(self, d, keys):9 self.failUnlessEqual(sorted(d.keys()), sorted(keys))10class Require(unittest.TestCase, Extra):11 def scan(self, text):12 lines = StringIO(text).readlines()13 requires, problems, locations = scan_module("fake.js", lines)14 self.failUnlessEqual(problems, False)15 return requires16 def scan_locations(self, text):17 lines = StringIO(text).readlines()18 requires, problems, locations = scan_module("fake.js", lines)19 self.failUnlessEqual(problems, False)20 return requires, locations21 def test_modules(self):22 mod = """var foo = require('one');"""23 requires = self.scan(mod)24 self.failUnlessKeysAre(requires, ["one"])25 mod = """var foo = require(\"one\");"""26 requires = self.scan(mod)27 self.failUnlessKeysAre(requires, ["one"])28 mod = """var foo=require( 'one' ) ; """29 requires = self.scan(mod)30 self.failUnlessKeysAre(requires, ["one"])31 mod = """var foo = require('o'+'ne'); // tricky, denied"""32 requires = self.scan(mod)33 self.failUnlessKeysAre(requires, [])34 mod = """require('one').immediately.do().stuff();"""35 requires, locations = self.scan_locations(mod)36 self.failUnlessKeysAre(requires, ["one"])37 self.failUnlessEqual(locations, {"one": 1})38 # these forms are commented out, and thus ignored39 mod = """// var foo = require('one');"""40 requires = self.scan(mod)41 self.failUnlessKeysAre(requires, [])42 mod = """/* var foo = require('one');"""43 requires = self.scan(mod)44 self.failUnlessKeysAre(requires, [])45 mod = """ * var foo = require('one');"""46 requires = self.scan(mod)47 self.failUnlessKeysAre(requires, [])48 mod = """ ' var foo = require('one');"""49 requires = self.scan(mod)50 self.failUnlessKeysAre(requires, ["one"])51 mod = """ \" var foo = require('one');"""52 requires = self.scan(mod)53 self.failUnlessKeysAre(requires, ["one"])54 # multiple requires55 mod = """const foo = require('one');56 const foo = require('two');"""57 requires, locations = self.scan_locations(mod)58 self.failUnlessKeysAre(requires, ["one", "two"])59 self.failUnlessEqual(locations["one"], 1)60 self.failUnlessEqual(locations["two"], 2)61 mod = """const foo = require('repeated');62 const bar = require('repeated');63 const baz = require('repeated');"""64 requires, locations = self.scan_locations(mod)65 self.failUnlessKeysAre(requires, ["repeated"])66 self.failUnlessEqual(locations["repeated"], 1) # first occurrence67 mod = """const foo = require('one'); const foo = require('two');"""68 requires = self.scan(mod)69 self.failUnlessKeysAre(requires, ["one", "two"])70 # define calls71 mod = """define('one', ['two', 'numbers/three'], function(t, th) {});"""72 requires = self.scan(mod)73 self.failUnlessKeysAre(requires, ["two", "numbers/three"])74 mod = """define(75 ['odd',76 "numbers/four"], function() {});"""77 requires = self.scan(mod)78 self.failUnlessKeysAre(requires, ["odd", "numbers/four"])79 mod = """define(function(require, exports, module) {80 var a = require("some/module/a"),81 b = require('b/v1');82 exports.a = a;83 //This is a fakeout: require('bad');84 /* And another var bad = require('bad2'); */85 require('foo').goFoo();86 });"""87 requires = self.scan(mod)88 self.failUnlessKeysAre(requires, ["some/module/a", "b/v1", "foo"])89 mod = """define (90 "foo",91 ["bar"], function (bar) {92 var me = require("me");93 }94 )"""95 requires = self.scan(mod)96 self.failUnlessKeysAre(requires, ["bar", "me"])97 mod = """define(['se' + 'ven', 'eight', nine], function () {});"""98 requires = self.scan(mod)99 self.failUnlessKeysAre(requires, ["eight"])100 # async require calls101 mod = """require(['one'], function(one) {var o = require("one");});"""102 requires = self.scan(mod)103 self.failUnlessKeysAre(requires, ["one"])104 mod = """require([ 'one' ], function(one) {var t = require("two");});"""105 requires = self.scan(mod)106 self.failUnlessKeysAre(requires, ["one", "two"])107 mod = """require ( ['two', 'numbers/three'], function(t, th) {});"""108 requires = self.scan(mod)109 self.failUnlessKeysAre(requires, ["two", "numbers/three"])110 mod = """require (111 ["bar", "fa" + 'ke' ], function (bar) {112 var me = require("me");113 // require("bad").doBad();114 }115 )"""116 requires = self.scan(mod)117 self.failUnlessKeysAre(requires, ["bar", "me"])118def scan2(text, fn="fake.js"):119 stderr = StringIO()120 lines = StringIO(text).readlines()121 requires, problems, locations = scan_module(fn, lines, stderr)122 stderr.seek(0)123 return requires, problems, stderr.readlines()124class Chrome(unittest.TestCase, Extra):125 def test_ignore_loader(self):126 # we specifically ignore the loader itself127 mod = """let {Cc,Ci} = require('chrome');"""128 requires, problems, err = scan2(mod, "blah/cuddlefish.js")129 self.failUnlessKeysAre(requires, ["chrome"])130 self.failUnlessEqual(problems, False)131 self.failUnlessEqual(err, [])132 def test_chrome(self):133 mod = """let {Cc,Ci} = require('chrome');"""134 requires, problems, err = scan2(mod)135 self.failUnlessKeysAre(requires, ["chrome"])136 self.failUnlessEqual(problems, False)137 self.failUnlessEqual(err, [])138 mod = """var foo = require('foo');139 let {Cc,Ci} = require('chrome');"""140 requires, problems, err = scan2(mod)141 self.failUnlessKeysAre(requires, ["foo", "chrome"])142 self.failUnlessEqual(problems, False)143 self.failUnlessEqual(err, [])144 mod = """let c = require('chrome');"""145 requires, problems, err = scan2(mod)146 self.failUnlessKeysAre(requires, ["chrome"])147 self.failUnlessEqual(problems, False)148 self.failUnlessEqual(err, [])149 mod = """var foo = require('foo');150 let c = require('chrome');"""151 requires, problems, err = scan2(mod)152 self.failUnlessKeysAre(requires, ["foo", "chrome"])153 self.failUnlessEqual(problems, False)154 self.failUnlessEqual(err, [])155 def test_chrome_components(self):156 # Bug 663541: tolerate "Components" if you're marked with157 # require("chrome"), to avoid requiring module authors to rewrite a158 # lot of code. Once bug 636145 is fixed, such code will break. To fix159 # it, add {Components}=require("chrome"), but that won't work until160 # after 636145 is fixed.161 mod = """require("chrome");162 var ios = Components.classes['@mozilla.org/network/io-service;1'];"""163 requires, problems, err = scan2(mod)164 self.failUnlessKeysAre(requires, ["chrome"])165 self.failUnlessEqual((problems, err), (False, []))166 def test_not_chrome(self):167 # from bug 596595168 mod = r'soughtLines: new RegExp("^\\s*(\\[[0-9 .]*\\])?\\s*\\(\\((EE|WW)\\)|.* [Cc]hipsets?: \\)|\\s*Backtrace")'169 requires, problems, err = scan2(mod)170 self.failUnlessKeysAre(requires, [])171 self.failUnlessEqual((problems,err), (False, []))172 def test_not_chrome2(self):173 # from bug 655788174 mod = r"var foo = 'some stuff Cr';"175 requires, problems, err = scan2(mod)176 self.failUnlessKeysAre(requires, [])177 self.failUnlessEqual((problems,err), (False, []))178class BadChrome(unittest.TestCase, Extra):179 def test_bad_alias(self):180 # using Components.* gets you an error, with a message that teaches181 # you the correct approach.182 mod = """let Cc = Components.classes;183 let Cu = Components.utils;184 """185 requires, problems, err = scan2(mod)186 self.failUnlessKeysAre(requires, [])187 self.failUnlessEqual(problems, True)188 self.failUnlessEqual(err[1], "The following lines from file fake.js:\n")189 self.failUnlessEqual(err[2], " 1: let Cc = Components.classes;\n")190 self.failUnlessEqual(err[3], " 2: let Cu = Components.utils;\n")191 self.failUnlessEqual(err[4], "use 'Components' to access chrome authority. To do so, you need to add a\n")192 self.failUnlessEqual(err[5], "line somewhat like the following:\n")193 self.failUnlessEqual(err[7], ' const {Cc,Cu} = require("chrome");\n')194 self.failUnlessEqual(err[9], "Then you can use 'Components' as well as any shortcuts to its properties\n")195 def test_bad_misc(self):196 # If it looks like you're using something that doesn't have an alias,197 # the warning also suggests a better way.198 mod = """if (Components.isSuccessCode(foo))199 """200 requires, problems, err = scan2(mod)201 self.failUnlessKeysAre(requires, [])202 self.failUnlessEqual(problems, True)203 self.failUnlessEqual(err[1], "The following lines from file fake.js:\n")204 self.failUnlessEqual(err[2], " 1: if (Components.isSuccessCode(foo))\n")205 self.failUnlessEqual(err[3], "use 'Components' to access chrome authority. To do so, you need to add a\n")206 self.failUnlessEqual(err[4], "line somewhat like the following:\n")207 self.failUnlessEqual(err[6], ' const {components} = require("chrome");\n')208 self.failUnlessEqual(err[8], "Then you can use 'Components' as well as any shortcuts to its properties\n")209if __name__ == '__main__':...

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