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| # Copyright 2020 The HuggingFace Team. All rights reserved. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| from typing import TYPE_CHECKING | |
| from ...utils import ( | |
| OptionalDependencyNotAvailable, | |
| _LazyModule, | |
| is_flax_available, | |
| is_tensorflow_text_available, | |
| is_tf_available, | |
| is_tokenizers_available, | |
| is_torch_available, | |
| ) | |
| _import_structure = { | |
| "configuration_bert": ["BERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "BertConfig", "BertOnnxConfig"], | |
| "tokenization_bert": ["BasicTokenizer", "BertTokenizer", "WordpieceTokenizer"], | |
| } | |
| try: | |
| if not is_tokenizers_available(): | |
| raise OptionalDependencyNotAvailable() | |
| except OptionalDependencyNotAvailable: | |
| pass | |
| else: | |
| _import_structure["tokenization_bert_fast"] = ["BertTokenizerFast"] | |
| try: | |
| if not is_torch_available(): | |
| raise OptionalDependencyNotAvailable() | |
| except OptionalDependencyNotAvailable: | |
| pass | |
| else: | |
| _import_structure["modeling_bert"] = [ | |
| "BERT_PRETRAINED_MODEL_ARCHIVE_LIST", | |
| "BertForMaskedLM", | |
| "BertForMultipleChoice", | |
| "BertForNextSentencePrediction", | |
| "BertForPreTraining", | |
| "BertForQuestionAnswering", | |
| "BertForSequenceClassification", | |
| "BertForTokenClassification", | |
| "BertLayer", | |
| "BertLMHeadModel", | |
| "BertModel", | |
| "BertPreTrainedModel", | |
| "load_tf_weights_in_bert", | |
| ] | |
| try: | |
| if not is_tf_available(): | |
| raise OptionalDependencyNotAvailable() | |
| except OptionalDependencyNotAvailable: | |
| pass | |
| else: | |
| _import_structure["modeling_tf_bert"] = [ | |
| "TF_BERT_PRETRAINED_MODEL_ARCHIVE_LIST", | |
| "TFBertEmbeddings", | |
| "TFBertForMaskedLM", | |
| "TFBertForMultipleChoice", | |
| "TFBertForNextSentencePrediction", | |
| "TFBertForPreTraining", | |
| "TFBertForQuestionAnswering", | |
| "TFBertForSequenceClassification", | |
| "TFBertForTokenClassification", | |
| "TFBertLMHeadModel", | |
| "TFBertMainLayer", | |
| "TFBertModel", | |
| "TFBertPreTrainedModel", | |
| ] | |
| try: | |
| if not is_tensorflow_text_available(): | |
| raise OptionalDependencyNotAvailable() | |
| except OptionalDependencyNotAvailable: | |
| pass | |
| else: | |
| _import_structure["tokenization_bert_tf"] = ["TFBertTokenizer"] | |
| try: | |
| if not is_flax_available(): | |
| raise OptionalDependencyNotAvailable() | |
| except OptionalDependencyNotAvailable: | |
| pass | |
| else: | |
| _import_structure["modeling_flax_bert"] = [ | |
| "FlaxBertForCausalLM", | |
| "FlaxBertForMaskedLM", | |
| "FlaxBertForMultipleChoice", | |
| "FlaxBertForNextSentencePrediction", | |
| "FlaxBertForPreTraining", | |
| "FlaxBertForQuestionAnswering", | |
| "FlaxBertForSequenceClassification", | |
| "FlaxBertForTokenClassification", | |
| "FlaxBertModel", | |
| "FlaxBertPreTrainedModel", | |
| ] | |
| if TYPE_CHECKING: | |
| from .configuration_bert import BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, BertConfig, BertOnnxConfig | |
| from .tokenization_bert import BasicTokenizer, BertTokenizer, WordpieceTokenizer | |
| try: | |
| if not is_tokenizers_available(): | |
| raise OptionalDependencyNotAvailable() | |
| except OptionalDependencyNotAvailable: | |
| pass | |
| else: | |
| from .tokenization_bert_fast import BertTokenizerFast | |
| try: | |
| if not is_torch_available(): | |
| raise OptionalDependencyNotAvailable() | |
| except OptionalDependencyNotAvailable: | |
| pass | |
| else: | |
| from .modeling_bert import ( | |
| BERT_PRETRAINED_MODEL_ARCHIVE_LIST, | |
| BertForMaskedLM, | |
| BertForMultipleChoice, | |
| BertForNextSentencePrediction, | |
| BertForPreTraining, | |
| BertForQuestionAnswering, | |
| BertForSequenceClassification, | |
| BertForTokenClassification, | |
| BertLayer, | |
| BertLMHeadModel, | |
| BertModel, | |
| BertPreTrainedModel, | |
| load_tf_weights_in_bert, | |
| ) | |
| try: | |
| if not is_tf_available(): | |
| raise OptionalDependencyNotAvailable() | |
| except OptionalDependencyNotAvailable: | |
| pass | |
| else: | |
| from .modeling_tf_bert import ( | |
| TF_BERT_PRETRAINED_MODEL_ARCHIVE_LIST, | |
| TFBertEmbeddings, | |
| TFBertForMaskedLM, | |
| TFBertForMultipleChoice, | |
| TFBertForNextSentencePrediction, | |
| TFBertForPreTraining, | |
| TFBertForQuestionAnswering, | |
| TFBertForSequenceClassification, | |
| TFBertForTokenClassification, | |
| TFBertLMHeadModel, | |
| TFBertMainLayer, | |
| TFBertModel, | |
| TFBertPreTrainedModel, | |
| ) | |
| try: | |
| if not is_tensorflow_text_available(): | |
| raise OptionalDependencyNotAvailable() | |
| except OptionalDependencyNotAvailable: | |
| pass | |
| else: | |
| from .tokenization_bert_tf import TFBertTokenizer | |
| try: | |
| if not is_flax_available(): | |
| raise OptionalDependencyNotAvailable() | |
| except OptionalDependencyNotAvailable: | |
| pass | |
| else: | |
| from .modeling_flax_bert import ( | |
| FlaxBertForCausalLM, | |
| FlaxBertForMaskedLM, | |
| FlaxBertForMultipleChoice, | |
| FlaxBertForNextSentencePrediction, | |
| FlaxBertForPreTraining, | |
| FlaxBertForQuestionAnswering, | |
| FlaxBertForSequenceClassification, | |
| FlaxBertForTokenClassification, | |
| FlaxBertModel, | |
| FlaxBertPreTrainedModel, | |
| ) | |
| else: | |
| import sys | |
| sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__) | |