code: 
  
  
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available
  
  
  _lowercase		:     List[Any] 					={"""configuration_yoso""": ["""YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP""", """YosoConfig"""]}
  
  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    _lowercase		:     Optional[int] 					=[
        """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
  
    _lowercase		:     Optional[Any] 					=_LazyModule(__name__, globals()["""__file__"""], _import_structure)
  
style_context: 
  
  
  
  
  
  import os
  import unittest
  
  import pytest
  from parameterized import parameterized
  
  from transformers.testing_utils import require_torch, require_torch_gpu, slow, torch_device
  
  
  # skipping in unittest tests
  
  _lowercase		:     Optional[Any] 					=[(1,)]
  
  
  def 		_SCREAMING_SNAKE_CASE    (   ):
  		lowerCamelCase_  :    Union[str, Any]   	=			bool(os.getenv('RUN_SLOW'       ,0	)	)
  		if run_slow:
  				assert True
  		else:
  				assert False, "should have been skipped"
  
  
  def 		_SCREAMING_SNAKE_CASE    (   ):
  		lowerCamelCase_  :    List[str]   	=			bool(os.getenv('RUN_SLOW'       ,0	)	)
  		if run_slow and torch_device == "cuda":
  				assert True
  		else:
  				assert False, "should have been skipped"
  
  
  
  
  
  
  @require_torch
  class 	UpperCamelCase_     (     unittest.TestCase       ):
  
  
  
  					@slow
  					@require_torch_gpu
  					def      __a    (		self    :    Tuple	):
  							check_slow_torch_cuda()
  
  
  
  					@require_torch_gpu
  					@slow
  					def      __a    (		self    :    Optional[int]	):
  							check_slow_torch_cuda()
  
  
  
  
  
  					@parameterized.expand(lowerCamelCase	)
  					@slow
  					def      __a    (		self    :    List[str]					,			lowerCamelCase    :    Optional[Any]=None	):
  							check_slow()
  
  
  @slow
  @require_torch_gpu
  def 		_SCREAMING_SNAKE_CASE    (   ):
  		check_slow_torch_cuda()
  
  
  @require_torch_gpu
  @slow
  def 		_SCREAMING_SNAKE_CASE    (   ):
  		check_slow_torch_cuda()
  
  
  @slow
  @pytest.mark.parametrize('param'       ,[1]	)
  def 		_SCREAMING_SNAKE_CASE    (   lowerCAmelCase__	):
  		check_slow()
  
  
  
  
  
  @pytest.mark.parametrize('param'       ,[1]	)
  @slow
  def 		_SCREAMING_SNAKE_CASE    (   lowerCAmelCase__	):
  		check_slow()
  