


'''simple docstring'''






from ...configuration_utils import PretrainedConfig
from ...utils import logging


__A		:		List[str]   =   logging.get_logger(__name__)

__A		:		Union[str, Any]   =   {
    'facebook/regnet-y-040': 'https://huggingface.co/facebook/regnet-y-040/blob/main/config.json',
}
class   __UpperCamelCase		(  a_							):
							lowercase	:						Optional[int]      						=     "regnet"
							lowercase	:						int      						=     ["x", "y"]





							def __init__(     self						:Optional[int]     ,_UpperCamelCase						:Optional[int]=3     ,_UpperCamelCase						:Tuple=3_2     ,_UpperCamelCase						:Union[str, Any]=[1_2_8, 1_9_2, 5_1_2, 1_0_8_8]     ,_UpperCamelCase						:Any=[2, 6, 1_2, 2]     ,_UpperCamelCase						:List[Any]=6_4     ,_UpperCamelCase						:Optional[int]="y"     ,_UpperCamelCase						:int="relu"     ,**_UpperCamelCase						:Optional[int]     ,):
									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	)}'''	)
									snake_case_						:							Any					=  num_channels
									snake_case_						:							Optional[int]					=  embedding_size
									snake_case_						:							List[Any]					=  hidden_sizes
									snake_case_						:							int					=  depths
									snake_case_						:							Optional[int]					=  groups_width
									snake_case_						:							Optional[int]					=  layer_type
									snake_case_						:							List[str]					=  hidden_act
									# always downsample in the first stage
									snake_case_						:							Any					=  True


from ...configuration_utils import PretrainedConfig
from ...utils import logging


__UpperCAmelCase      = logging.get_logger(__name__)

__UpperCAmelCase      = {
    """uw-madison/nystromformer-512""": """https://huggingface.co/uw-madison/nystromformer-512/resolve/main/config.json""",
    # See all Nystromformer models at https://huggingface.co/models?filter=nystromformer
}



class SCREAMING_SNAKE_CASE	(  a_ ):
  """simple docstring"""






  lowerCamelCase    :			Optional[Any]						      ="nystromformer"







  def __init__(			self :    List[str]       ,							lowerCAmelCase :    List[Any]=3_00_00       ,							lowerCAmelCase :    Union[str, Any]=7_68       ,							lowerCAmelCase :    int=12       ,							lowerCAmelCase :    str=12       ,							lowerCAmelCase :    Tuple=30_72       ,							lowerCAmelCase :    Optional[Any]="gelu_new"       ,							lowerCAmelCase :    Any=0.1       ,							lowerCAmelCase :    Tuple=0.1       ,							lowerCAmelCase :    Tuple=5_10       ,							lowerCAmelCase :    int=2       ,							lowerCAmelCase :    Any=64       ,							lowerCAmelCase :    Dict=64       ,							lowerCAmelCase :    List[str]=65       ,							lowerCAmelCase :    Union[str, Any]=False       ,							lowerCAmelCase :    int=0.02       ,							lowerCAmelCase :    int=1e-5       ,							lowerCAmelCase :    Dict=1       ,							lowerCAmelCase :    str=0       ,							lowerCAmelCase :    List[Any]=2       ,							**lowerCAmelCase :    int       ,							)							->	List[Any]:






     """simple docstring"""







     __lowerCAmelCase  :			Optional[Any]					    =						vocab_size
     __lowerCAmelCase  :			Any					    =						max_position_embeddings
     __lowerCAmelCase  :			List[Any]					    =						hidden_size
     __lowerCAmelCase  :			Dict					    =						num_hidden_layers
     __lowerCAmelCase  :			Union[str, Any]					    =						num_attention_heads
     __lowerCAmelCase  :			int					    =						intermediate_size
     __lowerCAmelCase  :			str					    =						hidden_act
     __lowerCAmelCase  :			Any					    =						hidden_dropout_prob
     __lowerCAmelCase  :			str					    =						attention_probs_dropout_prob
     __lowerCAmelCase  :			List[str]					    =						initializer_range
     __lowerCAmelCase  :			List[str]					    =						type_vocab_size
     __lowerCAmelCase  :			Union[str, Any]					    =						segment_means_seq_len
     __lowerCAmelCase  :			Tuple					    =						num_landmarks
     __lowerCAmelCase  :			Dict					    =						conv_kernel_size
     __lowerCAmelCase  :			Tuple					    =						inv_coeff_init_option
     __lowerCAmelCase  :			List[Any]					    =						layer_norm_eps
     super().__init__(pad_token_id=lowerCAmelCase       ,							bos_token_id=lowerCAmelCase       ,							eos_token_id=lowerCAmelCase       ,							**lowerCAmelCase    )


