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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_tf_available, | |
is_tokenizers_available, | |
is_torch_available, | |
) | |
_import_structure = { | |
"configuration_bart": ["BART_PRETRAINED_CONFIG_ARCHIVE_MAP", "BartConfig", "BartOnnxConfig"], | |
"tokenization_bart": ["BartTokenizer"], | |
} | |
try: | |
if not is_tokenizers_available(): | |
raise OptionalDependencyNotAvailable() | |
except OptionalDependencyNotAvailable: | |
pass | |
else: | |
_import_structure["tokenization_bart_fast"] = ["BartTokenizerFast"] | |
try: | |
if not is_torch_available(): | |
raise OptionalDependencyNotAvailable() | |
except OptionalDependencyNotAvailable: | |
pass | |
else: | |
_import_structure["modeling_bart"] = [ | |
"BART_PRETRAINED_MODEL_ARCHIVE_LIST", | |
"BartForCausalLM", | |
"BartForConditionalGeneration", | |
"BartForQuestionAnswering", | |
"BartForSequenceClassification", | |
"BartModel", | |
"BartPreTrainedModel", | |
"BartPretrainedModel", | |
"PretrainedBartModel", | |
] | |
try: | |
if not is_tf_available(): | |
raise OptionalDependencyNotAvailable() | |
except OptionalDependencyNotAvailable: | |
pass | |
else: | |
_import_structure["modeling_tf_bart"] = [ | |
"TFBartForConditionalGeneration", | |
"TFBartForSequenceClassification", | |
"TFBartModel", | |
"TFBartPretrainedModel", | |
] | |
try: | |
if not is_flax_available(): | |
raise OptionalDependencyNotAvailable() | |
except OptionalDependencyNotAvailable: | |
pass | |
else: | |
_import_structure["modeling_flax_bart"] = [ | |
"FlaxBartDecoderPreTrainedModel", | |
"FlaxBartForCausalLM", | |
"FlaxBartForConditionalGeneration", | |
"FlaxBartForQuestionAnswering", | |
"FlaxBartForSequenceClassification", | |
"FlaxBartModel", | |
"FlaxBartPreTrainedModel", | |
] | |
if TYPE_CHECKING: | |
from .configuration_bart import BART_PRETRAINED_CONFIG_ARCHIVE_MAP, BartConfig, BartOnnxConfig | |
from .tokenization_bart import BartTokenizer | |
try: | |
if not is_tokenizers_available(): | |
raise OptionalDependencyNotAvailable() | |
except OptionalDependencyNotAvailable: | |
pass | |
else: | |
from .tokenization_bart_fast import BartTokenizerFast | |
try: | |
if not is_torch_available(): | |
raise OptionalDependencyNotAvailable() | |
except OptionalDependencyNotAvailable: | |
pass | |
else: | |
from .modeling_bart import ( | |
BART_PRETRAINED_MODEL_ARCHIVE_LIST, | |
BartForCausalLM, | |
BartForConditionalGeneration, | |
BartForQuestionAnswering, | |
BartForSequenceClassification, | |
BartModel, | |
BartPreTrainedModel, | |
BartPretrainedModel, | |
PretrainedBartModel, | |
) | |
try: | |
if not is_tf_available(): | |
raise OptionalDependencyNotAvailable() | |
except OptionalDependencyNotAvailable: | |
pass | |
else: | |
from .modeling_tf_bart import ( | |
TFBartForConditionalGeneration, | |
TFBartForSequenceClassification, | |
TFBartModel, | |
TFBartPretrainedModel, | |
) | |
try: | |
if not is_flax_available(): | |
raise OptionalDependencyNotAvailable() | |
except OptionalDependencyNotAvailable: | |
pass | |
else: | |
from .modeling_flax_bart import ( | |
FlaxBartDecoderPreTrainedModel, | |
FlaxBartForCausalLM, | |
FlaxBartForConditionalGeneration, | |
FlaxBartForQuestionAnswering, | |
FlaxBartForSequenceClassification, | |
FlaxBartModel, | |
FlaxBartPreTrainedModel, | |
) | |
else: | |
import sys | |
sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__) | |