




'''simple docstring'''






import torch

from transformers import PreTrainedModel

from .custom_configuration import CustomConfig, NoSuperInitConfig



class  A		(			SCREAMING_SNAKE_CASE_		):




				'''simple docstring'''





				A				     =    CustomConfig
				def __init__(self			,  _UpperCAmelCase      )     ->	Tuple:
							super().__init__(SCREAMING_SNAKE_CASE_      )
							__UpperCamelCase				:      List[str]									=       torch.nn.Linear(config.hidden_size			,  config.hidden_size      )
				def 	a_	(self			,  _UpperCAmelCase      )     ->	List[str]:
							return self.linear(SCREAMING_SNAKE_CASE_      )





				def 	a_	(self			,  _UpperCAmelCase      )     ->	Any:
							pass







class  A		(			SCREAMING_SNAKE_CASE_		):




				'''simple docstring'''





				A				     =    NoSuperInitConfig
				def __init__(self			,  _UpperCAmelCase      )     ->	Tuple:
							super().__init__(SCREAMING_SNAKE_CASE_      )
							__UpperCamelCase				:      Tuple									=       torch.nn.Linear(config.attribute			,  config.attribute      )
				def 	a_	(self			,  _UpperCAmelCase      )     ->	List[str]:
							return self.linear(SCREAMING_SNAKE_CASE_      )





				def 	a_	(self			,  _UpperCAmelCase      )     ->	Union[str, Any]:
							pass









'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_lowerCAmelCase				     = {'''configuration_visual_bert''': ['''VISUAL_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''VisualBertConfig''']}

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_lowerCAmelCase				     = [
				    '''VISUAL_BERT_PRETRAINED_MODEL_ARCHIVE_LIST''',
				    '''VisualBertForMultipleChoice''',
				    '''VisualBertForPreTraining''',
				    '''VisualBertForQuestionAnswering''',
				    '''VisualBertForRegionToPhraseAlignment''',
				    '''VisualBertForVisualReasoning''',
				    '''VisualBertLayer''',
				    '''VisualBertModel''',
				    '''VisualBertPreTrainedModel''',
				]


if TYPE_CHECKING:
				from .configuration_visual_bert import VISUAL_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, VisualBertConfig

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_visual_bert import (
								    VISUAL_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
								    VisualBertForMultipleChoice,
								    VisualBertForPreTraining,
								    VisualBertForQuestionAnswering,
								    VisualBertForRegionToPhraseAlignment,
								    VisualBertForVisualReasoning,
								    VisualBertLayer,
								    VisualBertModel,
								    VisualBertPreTrainedModel,
								)


else:
				import sys

				_lowerCAmelCase				     = _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



