





import logging

from transformers.configuration_utils import PretrainedConfig


UpperCAmelCase_  							=				logging.getLogger(__name__)






class 					lowercase__ (			__lowerCamelCase       ):

   '''simple docstring'''


   a		:							List[Any]     	=	"masked_bert"




   def __init__(					self,	__magic_name__=30522,	__magic_name__=768,	__magic_name__=12,	__magic_name__=12,	__magic_name__=3072,	__magic_name__="gelu",	__magic_name__=0.1,	__magic_name__=0.1,	__magic_name__=512,	__magic_name__=2,	__magic_name__=0.02,	__magic_name__=1E-12,	__magic_name__=0,	__magic_name__="topK",	__magic_name__="constant",	__magic_name__=0.0,	**__magic_name__,	)				->   Optional[int]:






       """simple docstring"""
       super().__init__(pad_token_id=__magic_name__,	**__magic_name__							)

       UpperCamelCase__							:       List[Any]      =   vocab_size
       UpperCamelCase__							:       Tuple      =   hidden_size
       UpperCamelCase__							:       Optional[int]      =   num_hidden_layers
       UpperCamelCase__							:       List[Any]      =   num_attention_heads
       UpperCamelCase__							:       str      =   hidden_act
       UpperCamelCase__							:       Any      =   intermediate_size
       UpperCamelCase__							:       Dict      =   hidden_dropout_prob
       UpperCamelCase__							:       Union[str, Any]      =   attention_probs_dropout_prob
       UpperCamelCase__							:       Optional[int]      =   max_position_embeddings
       UpperCamelCase__							:       Tuple      =   type_vocab_size
       UpperCamelCase__							:       Union[str, Any]      =   initializer_range
       UpperCamelCase__							:       Optional[int]      =   layer_norm_eps
       UpperCamelCase__							:       Optional[Any]      =   pruning_method
       UpperCamelCase__							:       Optional[int]      =   mask_init
       UpperCamelCase__							:       Optional[Any]      =   mask_scale








import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import CONFIG_MAPPING


UpperCAmelCase_  							=				logging.get_logger(__name__)






class 					lowercase__ (			__lowerCamelCase       ):

   '''simple docstring'''


   a		:							Any     	=	"upernet"




   def __init__(					self,	__magic_name__=None,	__magic_name__=512,	__magic_name__=0.02,	__magic_name__=[1, 2, 3, 6],	__magic_name__=True,	__magic_name__=0.4,	__magic_name__=384,	__magic_name__=256,	__magic_name__=1,	__magic_name__=False,	__magic_name__=255,	**__magic_name__,	)				->   Dict:






       """simple docstring"""
       super().__init__(**__magic_name__							)

       if backbone_config is None:
           logger.info('''`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone.'''							)
           UpperCamelCase__							:       str      =   CONFIG_MAPPING['''resnet'''](out_features=['''stage1''', '''stage2''', '''stage3''', '''stage4''']							)
       elif isinstance(__magic_name__,	__magic_name__							):
           UpperCamelCase__							:       Tuple      =   backbone_config.get('''model_type'''							)
           UpperCamelCase__							:       List[str]      =   CONFIG_MAPPING[backbone_model_type]
           UpperCamelCase__							:       Optional[int]      =   config_class.from_dict(__magic_name__							)

       UpperCamelCase__							:       Dict      =   backbone_config
       UpperCamelCase__							:       int      =   hidden_size
       UpperCamelCase__							:       int      =   initializer_range
       UpperCamelCase__							:       Dict      =   pool_scales
       UpperCamelCase__							:       Tuple      =   use_auxiliary_head
       UpperCamelCase__							:       Tuple      =   auxiliary_loss_weight
       UpperCamelCase__							:       Optional[int]      =   auxiliary_in_channels
       UpperCamelCase__							:       Optional[Any]      =   auxiliary_channels
       UpperCamelCase__							:       Any      =   auxiliary_num_convs
       UpperCamelCase__							:       Union[str, Any]      =   auxiliary_concat_input
       UpperCamelCase__							:       List[str]      =   loss_ignore_index




   def    UpperCamelCase__						(					self							)				->   Any:






       """simple docstring"""
       UpperCamelCase__							:       List[str]      =   copy.deepcopy(self.__dict__							)
       UpperCamelCase__							:       int      =   self.backbone_config.to_dict()
       UpperCamelCase__							:       Any      =   self.__class__.model_type
       return output

