

from typing import TYPE_CHECKING

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


SCREAMING_SNAKE_CASE						:Any      =			{
    """configuration_flava""": [
        """FLAVA_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """FlavaConfig""",
        """FlavaImageCodebookConfig""",
        """FlavaImageConfig""",
        """FlavaMultimodalConfig""",
        """FlavaTextConfig""",
    ],
}

try:
 if not is_vision_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 SCREAMING_SNAKE_CASE						:Tuple      =			["""FlavaFeatureExtractor"""]
 SCREAMING_SNAKE_CASE						:Union[str, Any]      =			["""FlavaImageProcessor"""]
 SCREAMING_SNAKE_CASE						:int      =			["""FlavaProcessor"""]

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 SCREAMING_SNAKE_CASE						:Tuple      =			[
     """FLAVA_PRETRAINED_MODEL_ARCHIVE_LIST""",
     """FlavaForPreTraining""",
     """FlavaImageCodebook""",
     """FlavaImageModel""",
     """FlavaModel""",
     """FlavaMultimodalModel""",
     """FlavaPreTrainedModel""",
     """FlavaTextModel""",
 ]

if TYPE_CHECKING:
 from .configuration_flava import (
     FLAVA_PRETRAINED_CONFIG_ARCHIVE_MAP,
     FlavaConfig,
     FlavaImageCodebookConfig,
     FlavaImageConfig,
     FlavaMultimodalConfig,
     FlavaTextConfig,
 )

 try:
  if not is_vision_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .feature_extraction_flava import FlavaFeatureExtractor
  from .image_processing_flava import FlavaImageProcessor
  from .processing_flava import FlavaProcessor

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_flava import (
      FLAVA_PRETRAINED_MODEL_ARCHIVE_LIST,
      FlavaForPreTraining,
      FlavaImageCodebook,
      FlavaImageModel,
      FlavaModel,
      FlavaMultimodalModel,
      FlavaPreTrainedModel,
      FlavaTextModel,
  )

else:
 import sys

 SCREAMING_SNAKE_CASE						:List[Any]      =			_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)



from typing import TYPE_CHECKING

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


SCREAMING_SNAKE_CASE						:int      =			{"""configuration_yoso""": ["""YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP""", """YosoConfig"""]}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 SCREAMING_SNAKE_CASE						:List[Any]      =			[
     """YOSO_PRETRAINED_MODEL_ARCHIVE_LIST""",
     """YosoForMaskedLM""",
     """YosoForMultipleChoice""",
     """YosoForQuestionAnswering""",
     """YosoForSequenceClassification""",
     """YosoForTokenClassification""",
     """YosoLayer""",
     """YosoModel""",
     """YosoPreTrainedModel""",
 ]


if TYPE_CHECKING:
 from .configuration_yoso import YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP, YosoConfig

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_yoso import (
      YOSO_PRETRAINED_MODEL_ARCHIVE_LIST,
      YosoForMaskedLM,
      YosoForMultipleChoice,
      YosoForQuestionAnswering,
      YosoForSequenceClassification,
      YosoForTokenClassification,
      YosoLayer,
      YosoModel,
      YosoPreTrainedModel,
  )


else:
 import sys

 SCREAMING_SNAKE_CASE						:str      =			_LazyModule(__name__, globals()["""__file__"""], _import_structure)
