



"""simple docstring"""







from typing import TYPE_CHECKING

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


lowercase__		:    Optional[Any]				   =     {
    """configuration_bridgetower""": [
        """BRIDGETOWER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """BridgeTowerConfig""",
        """BridgeTowerTextConfig""",
        """BridgeTowerVisionConfig""",
    ],
    """processing_bridgetower""": ["""BridgeTowerProcessor"""],
}

try:
     if not is_vision_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowercase__		:    Optional[int]				   =     ["""BridgeTowerImageProcessor"""]

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowercase__		:    Optional[Any]				   =     [
         """BRIDGETOWER_PRETRAINED_MODEL_ARCHIVE_LIST""",
         """BridgeTowerForContrastiveLearning""",
         """BridgeTowerForImageAndTextRetrieval""",
         """BridgeTowerForMaskedLM""",
         """BridgeTowerModel""",
         """BridgeTowerPreTrainedModel""",
     ]


if TYPE_CHECKING:
     from .configuration_bridgetower import (
         BRIDGETOWER_PRETRAINED_CONFIG_ARCHIVE_MAP,
         BridgeTowerConfig,
         BridgeTowerTextConfig,
         BridgeTowerVisionConfig,
     )
     from .processing_bridgetower import BridgeTowerProcessor

     try:
          if not is_vision_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .image_processing_bridgetower import BridgeTowerImageProcessor

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_bridgetower import (
              BRIDGETOWER_PRETRAINED_MODEL_ARCHIVE_LIST,
              BridgeTowerForContrastiveLearning,
              BridgeTowerForImageAndTextRetrieval,
              BridgeTowerForMaskedLM,
              BridgeTowerModel,
              BridgeTowerPreTrainedModel,
          )


else:
     import sys

     lowercase__		:    int				   =     _LazyModule(__name__, globals()["""__file__"""], _import_structure)










"""simple docstring"""







from diffusers.utils.testing_utils import require_onnxruntime







@require_onnxruntime
class 				UpperCamelCase__       :




      """simple docstring"""




      pass





