



'''simple docstring'''





from ..utils import DummyObject, requires_backends



class       snake_case__		(  metaclass=__UpperCAmelCase							):
 A__							=      ['''torch''', '''transformers''', '''invisible_watermark''']
 def __init__(					self		:				Optional[Any]	,			*__a		:				Dict	,			**__a		:				Optional[int]   )	->					str:







       '''simple docstring'''
       requires_backends(self	,			['torch', 'transformers', 'invisible_watermark']   )
 @classmethod
 def A_					(					cls		:				Optional[Any]	,			*__a		:				Optional[int]	,			**__a		:				int   )	->					List[str]:







       '''simple docstring'''
       requires_backends(cls	,			['torch', 'transformers', 'invisible_watermark']   )





 @classmethod
 def A_					(					cls		:				List[Any]	,			*__a		:				str	,			**__a		:				Union[str, Any]   )	->					Dict:







       '''simple docstring'''
       requires_backends(cls	,			['torch', 'transformers', 'invisible_watermark']   )



class       snake_case__		(  metaclass=__UpperCAmelCase							):
 A__							=      ['''torch''', '''transformers''', '''invisible_watermark''']
 def __init__(					self		:				Tuple	,			*__a		:				Union[str, Any]	,			**__a		:				Any   )	->					List[Any]:







       '''simple docstring'''
       requires_backends(self	,			['torch', 'transformers', 'invisible_watermark']   )
 @classmethod
 def A_					(					cls		:				List[Any]	,			*__a		:				List[str]	,			**__a		:				Union[str, Any]   )	->					Union[str, Any]:







       '''simple docstring'''
       requires_backends(cls	,			['torch', 'transformers', 'invisible_watermark']   )





 @classmethod
 def A_					(					cls		:				Tuple	,			*__a		:				Tuple	,			**__a		:				Optional[Any]   )	->					Any:







       '''simple docstring'''
       requires_backends(cls	,			['torch', 'transformers', 'invisible_watermark']   )










"""simple docstring"""





from typing import TYPE_CHECKING

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


_lowerCamelCase       =	{
    '''configuration_mobilenet_v1''': [
        '''MOBILENET_V1_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''MobileNetV1Config''',
        '''MobileNetV1OnnxConfig''',
    ],
}

try:
    if not is_vision_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _lowerCamelCase       =	['''MobileNetV1FeatureExtractor''']
    _lowerCamelCase       =	['''MobileNetV1ImageProcessor''']

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _lowerCamelCase       =	[
        '''MOBILENET_V1_PRETRAINED_MODEL_ARCHIVE_LIST''',
        '''MobileNetV1ForImageClassification''',
        '''MobileNetV1Model''',
        '''MobileNetV1PreTrainedModel''',
        '''load_tf_weights_in_mobilenet_v1''',
    ]


if TYPE_CHECKING:
    from .configuration_mobilenet_va import (
        MOBILENET_V1_PRETRAINED_CONFIG_ARCHIVE_MAP,
        MobileNetVaConfig,
        MobileNetVaOnnxConfig,
    )

    try:
        if not is_vision_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .feature_extraction_mobilenet_va import MobileNetVaFeatureExtractor
        from .image_processing_mobilenet_va import MobileNetVaImageProcessor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_mobilenet_va import (
            MOBILENET_V1_PRETRAINED_MODEL_ARCHIVE_LIST,
            MobileNetVaForImageClassification,
            MobileNetVaModel,
            MobileNetVaPreTrainedModel,
            load_tf_weights_in_mobilenet_va,
        )


else:
    import sys

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

