





'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


A   : int             =			{
    'configuration_megatron_bert': ['MEGATRON_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'MegatronBertConfig'],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		A   : int             =			[
		    'MEGATRON_BERT_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'MegatronBertForCausalLM',
		    'MegatronBertForMaskedLM',
		    'MegatronBertForMultipleChoice',
		    'MegatronBertForNextSentencePrediction',
		    'MegatronBertForPreTraining',
		    'MegatronBertForQuestionAnswering',
		    'MegatronBertForSequenceClassification',
		    'MegatronBertForTokenClassification',
		    'MegatronBertModel',
		    'MegatronBertPreTrainedModel',
		]

if TYPE_CHECKING:
		from .configuration_megatron_bert import MEGATRON_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, MegatronBertConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_megatron_bert import (
				    MEGATRON_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
				    MegatronBertForCausalLM,
				    MegatronBertForMaskedLM,
				    MegatronBertForMultipleChoice,
				    MegatronBertForNextSentencePrediction,
				    MegatronBertForPreTraining,
				    MegatronBertForQuestionAnswering,
				    MegatronBertForSequenceClassification,
				    MegatronBertForTokenClassification,
				    MegatronBertModel,
				    MegatronBertPreTrainedModel,
				)

else:
		import sys

		A   : Optional[Any]             =			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)






'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_flax_available, is_torch_available


A   : Dict             =			{'configuration_speech_encoder_decoder': ['SpeechEncoderDecoderConfig']}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		A   : int             =			['SpeechEncoderDecoderModel']

try:
		if not is_flax_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		A   : Union[str, Any]             =			['FlaxSpeechEncoderDecoderModel']

if TYPE_CHECKING:
		from .configuration_speech_encoder_decoder import SpeechEncoderDecoderConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_speech_encoder_decoder import SpeechEncoderDecoderModel

		try:
				if not is_flax_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_flax_speech_encoder_decoder import FlaxSpeechEncoderDecoderModel

else:
		import sys

		A   : int             =			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)





