from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments







def       A__   (						):
 SCREAMING_SNAKE_CASE__: Tuple=   HfArgumentParser(snake_case_   )
 SCREAMING_SNAKE_CASE__: Optional[Any]=   parser.parse_args_into_dataclasses()[0]
 SCREAMING_SNAKE_CASE__: Optional[int]=   TensorFlowBenchmark(args=snake_case_   )
 try:
  SCREAMING_SNAKE_CASE__: Union[str, Any]=   parser.parse_args_into_dataclasses()[0]
 except ValueError as e:
  SCREAMING_SNAKE_CASE__: Dict=   '''Arg --no_{0} is no longer used, please use --no-{0} instead.'''
  SCREAMING_SNAKE_CASE__: Optional[int]=   ''' '''.join(str(snake_case_   ).split(''' '''   )[:-1]   )
  SCREAMING_SNAKE_CASE__: Union[str, Any]=   ''''''
  SCREAMING_SNAKE_CASE__: Tuple=   eval(str(snake_case_   ).split(''' '''   )[-1]   )
  SCREAMING_SNAKE_CASE__: Tuple=   []
  for arg in depreciated_args:
   # arg[2:] removes '--'
   if arg[2:] in TensorFlowBenchmark.deprecated_args:
    # arg[5:] removes '--no_'
    full_error_msg += arg_error_msg.format(arg[5:]   )
   else:
    wrong_args.append(snake_case_   )
  if len(snake_case_   ) > 0:
   SCREAMING_SNAKE_CASE__: Union[str, Any]=   full_error_msg + begin_error_msg + str(snake_case_   )
  raise ValueError(snake_case_   )
 benchmark.run()


if __name__ == "__main__":
      main()


from typing import TYPE_CHECKING

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


a  :      int            =    {
    """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:
 a  :      Any            =    ["""BridgeTowerImageProcessor"""]

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 a  :      str            =    [
     """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

 a  :      List[Any]            =    _LazyModule(__name__, globals()["""__file__"""], _import_structure)