code: 
  
  
  
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_torch_available,
      is_vision_available,
  )
  
  
  __A  							=			{
      """configuration_tvlt""": ["""TVLT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """TvltConfig"""],
      """feature_extraction_tvlt""": ["""TvltFeatureExtractor"""],
      """processing_tvlt""": ["""TvltProcessor"""],
  }
  
  try:
     if not is_torch_available():
        raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
     pass
  else:
     __A  							=			[
         """TVLT_PRETRAINED_MODEL_ARCHIVE_LIST""",
         """TvltModel""",
         """TvltForPreTraining""",
         """TvltForAudioVisualClassification""",
         """TvltPreTrainedModel""",
     ]
  
  try:
     if not is_vision_available():
        raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
     pass
  else:
     __A  							=			["""TvltImageProcessor"""]
  
  
  if TYPE_CHECKING:
     from .configuration_tvlt import TVLT_PRETRAINED_CONFIG_ARCHIVE_MAP, TvltConfig
     from .processing_tvlt import TvltProcessor
     from .feature_extraction_tvlt import TvltFeatureExtractor
  
     try:
        if not is_torch_available():
           raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
        pass
     else:
        from .modeling_tvlt import (
            TVLT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TvltForAudioVisualClassification,
            TvltForPreTraining,
            TvltModel,
            TvltPreTrainedModel,
        )
  
     try:
        if not is_vision_available():
           raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
        pass
     else:
        from .image_processing_tvlt import TvltImageProcessor
  
  
  else:
     import sys
  
     __A  							=			_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
  
  
  
  
  
style_context: 
  
  
  
  
  
  
  __A  							=  [0.485, 0.456, 0.406]
  __A  							=  [0.229, 0.224, 0.225]
  __A  							=  [0.5, 0.5, 0.5]
  __A  							=  [0.5, 0.5, 0.5]
  __A  							=  [0.4814_5466, 0.457_8275, 0.4082_1073]
  __A  							=  [0.2686_2954, 0.2613_0258, 0.2757_7711]
  
  
  
  
  