






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


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

snake_case_   :	str							      ={
    '''microsoft/mpnet-base''': '''https://huggingface.co/microsoft/mpnet-base/resolve/main/config.json''',
}





class        a__      (	lowerCAmelCase__		):
		UpperCAmelCase_							:       Optional[Any] 					= 'mpnet'






		def __init__(      self							, lowercase__=30527							, lowercase__=768							, lowercase__=12							, lowercase__=12							, lowercase__=3072							, lowercase__="gelu"							, lowercase__=0.1							, lowercase__=0.1							, lowercase__=512							, lowercase__=0.02							, lowercase__=1e-12							, lowercase__=32							, lowercase__=1							, lowercase__=0							, lowercase__=2							, **lowercase__							, )				->				int:
				super().__init__(pad_token_id=lowercase__							, bos_token_id=lowercase__							, eos_token_id=lowercase__							, **lowercase__						)

				__A    =							vocab_size
				__A    =							hidden_size
				__A    =							num_hidden_layers
				__A    =							num_attention_heads
				__A    =							hidden_act
				__A    =							intermediate_size
				__A    =							hidden_dropout_prob
				__A    =							attention_probs_dropout_prob
				__A    =							max_position_embeddings
				__A    =							initializer_range
				__A    =							layer_norm_eps
				__A    =							relative_attention_num_buckets






"""simple docstring"""




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


_UpperCamelCase:					Tuple     				=	logging.get_logger(__name__)

_UpperCamelCase:					List[str]     				=	{
    'facebook/regnet-y-040': 'https://huggingface.co/facebook/regnet-y-040/blob/main/config.json',
}


class 	a__		(    SCREAMING_SNAKE_CASE__  ):
   _lowerCamelCase       				=					'regnet'
   _lowerCamelCase       				=					['x', 'y']


   def __init__(				self   :				Union[str, Any],  lowerCAmelCase   :				Union[str, Any]=3,  lowerCAmelCase   :				Tuple=32,  lowerCAmelCase   :				Optional[int]=[128, 192, 512, 1088],  lowerCAmelCase   :				Optional[int]=[2, 6, 12, 2],  lowerCAmelCase   :				str=64,  lowerCAmelCase   :				List[str]="y",  lowerCAmelCase   :				Optional[int]="relu",  **lowerCAmelCase   :				List[Any],  )     ->							Union[str, Any]:
         super().__init__(**lowerCAmelCase      )
         if layer_type not in self.layer_types:
               raise ValueError(f'''layer_type={layer_type} is not one of {','.join(self.layer_types      )}'''      )
         lowercase	:   str											= num_channels
         lowercase	:   str											= embedding_size
         lowercase	:   int											= hidden_sizes
         lowercase	:   Tuple											= depths
         lowercase	:   str											= groups_width
         lowercase	:   List[str]											= layer_type
         lowercase	:   Optional[int]											= hidden_act
         # always downsample in the first stage
         lowercase	:   Optional[Any]											= True
