code: 
  
  
  """simple docstring"""
  
  
  
  
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  
  
  __SCREAMING_SNAKE_CASE					=						logging.get_logger(__name__)
  
  __SCREAMING_SNAKE_CASE					=						{
      """facebook/regnet-y-040""": """https://huggingface.co/facebook/regnet-y-040/blob/main/config.json""",
  }
  
  
  
  
  
  class __snake_case		(					_SCREAMING_SNAKE_CASE      ):
  
  
  
  
  
  
  
     """simple docstring"""
  
  
  
  
     lowerCAmelCase_				:   Optional[Any]     	=			"regnet"
     lowerCAmelCase_				:   Tuple     	=			["x", "y"]
  
  
  
  
     def __init__(		self							:Optional[int]				,  UpperCamelCase__							:Union[str, Any]=3				,  UpperCamelCase__							:Union[str, Any]=32				,  UpperCamelCase__							:Optional[Any]=[128, 192, 512, 1_088]				,  UpperCamelCase__							:Any=[2, 6, 12, 2]				,  UpperCamelCase__							:Dict=64				,  UpperCamelCase__							:Union[str, Any]="y"				,  UpperCamelCase__							:Optional[Any]="relu"				,  **UpperCamelCase__							:str				,  ):
            super().__init__(**UpperCamelCase_       )
            if layer_type not in self.layer_types:
                   raise ValueError(f'layer_type={layer_type} is not one of {",".join(self.layer_types       )}'       )
            _a          =				num_channels
            _a          =				embedding_size
            _a          =				hidden_sizes
            _a          =				depths
            _a          =				groups_width
            _a          =				layer_type
            _a          =				hidden_act
            # always downsample in the first stage
            _a          =				True
  
style_context: 
  
  
  """simple docstring"""
  
  
  
  
  import warnings
  
  from ...utils import logging
  from .image_processing_vit import ViTImageProcessor
  
  
  __SCREAMING_SNAKE_CASE					=						logging.get_logger(__name__)
  
  
  
  
  
  class __snake_case		(					_SCREAMING_SNAKE_CASE      ):
  
  
  
  
  
  
  
     """simple docstring"""
  
  
  
  
     def __init__(		self							:Tuple				,  *UpperCamelCase__							:Tuple				,  **UpperCamelCase__							:Any       ):
            warnings.warn(
                "The class ViTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
                " use ViTImageProcessor instead."				,  UpperCamelCase__				,  )
            super().__init__(*UpperCamelCase__				,  **UpperCamelCase__       )
  