
"""simple docstring"""


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


SCREAMING_SNAKE_CASE      =     logging.get_logger(__name__)

SCREAMING_SNAKE_CASE      =     {
    """uw-madison/mra-base-512-4""": """https://huggingface.co/uw-madison/mra-base-512-4/resolve/main/config.json""",
}



class   __a  (      _lowerCAmelCase	):
       UpperCamelCase_		:					int   =			'''mra'''






       def __init__(  self :							str       ,      UpperCAmelCase_ :							Any=50_265       ,      UpperCAmelCase_ :							List[str]=768       ,      UpperCAmelCase_ :							List[Any]=12       ,      UpperCAmelCase_ :							List[Any]=12       ,      UpperCAmelCase_ :							int=3_072       ,      UpperCAmelCase_ :							int="gelu"       ,      UpperCAmelCase_ :							Tuple=0.1       ,      UpperCAmelCase_ :							str=0.1       ,      UpperCAmelCase_ :							Optional[int]=512       ,      UpperCAmelCase_ :							Optional[int]=1       ,      UpperCAmelCase_ :							Tuple=0.02       ,      UpperCAmelCase_ :							List[str]=1e-5       ,      UpperCAmelCase_ :							Optional[Any]="absolute"       ,      UpperCAmelCase_ :							int=4       ,      UpperCAmelCase_ :							str="full"       ,      UpperCAmelCase_ :							int=0       ,      UpperCAmelCase_ :							Tuple=0       ,      UpperCAmelCase_ :							Optional[int]=1       ,      UpperCAmelCase_ :							Optional[int]=0       ,      UpperCAmelCase_ :							List[str]=2       ,      **UpperCAmelCase_ :							List[Any]       ,      )->  Any:







              """simple docstring"""
              super().__init__(pad_token_id=UpperCAmelCase_       ,      bos_token_id=UpperCAmelCase_       ,      eos_token_id=UpperCAmelCase_       ,      **UpperCAmelCase_			)

              UpperCamelCase					 =		vocab_size
              UpperCamelCase					 =		max_position_embeddings
              UpperCamelCase					 =		hidden_size
              UpperCamelCase					 =		num_hidden_layers
              UpperCamelCase					 =		num_attention_heads
              UpperCamelCase					 =		intermediate_size
              UpperCamelCase					 =		hidden_act
              UpperCamelCase					 =		hidden_dropout_prob
              UpperCamelCase					 =		attention_probs_dropout_prob
              UpperCamelCase					 =		initializer_range
              UpperCamelCase					 =		type_vocab_size
              UpperCamelCase					 =		layer_norm_eps
              UpperCamelCase					 =		position_embedding_type
              UpperCamelCase					 =		block_per_row
              UpperCamelCase					 =		approx_mode
              UpperCamelCase					 =		initial_prior_first_n_blocks
              UpperCamelCase					 =		initial_prior_diagonal_n_blocks







"""simple docstring"""


import copy

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


SCREAMING_SNAKE_CASE      =     logging.get_logger(__name__)



class   __a  (      _lowerCAmelCase	):
       UpperCamelCase_		:					Optional[int]   =			'''upernet'''






       def __init__(  self :							int       ,      UpperCAmelCase_ :							Optional[Any]=None       ,      UpperCAmelCase_ :							Any=512       ,      UpperCAmelCase_ :							Union[str, Any]=0.02       ,      UpperCAmelCase_ :							List[Any]=[1, 2, 3, 6]       ,      UpperCAmelCase_ :							List[str]=True       ,      UpperCAmelCase_ :							Union[str, Any]=0.4       ,      UpperCAmelCase_ :							Union[str, Any]=384       ,      UpperCAmelCase_ :							Optional[Any]=256       ,      UpperCAmelCase_ :							Optional[int]=1       ,      UpperCAmelCase_ :							str=False       ,      UpperCAmelCase_ :							Tuple=255       ,      **UpperCAmelCase_ :							str       ,      )->  Tuple:







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

              if backbone_config is None:
                     logger.info("`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone."			)
                     UpperCamelCase					 =		CONFIG_MAPPING["resnet"](out_features=["stage1", "stage2", "stage3", "stage4"]			)
              elif isinstance(UpperCAmelCase_       ,      UpperCAmelCase_			):
                     UpperCamelCase					 =		backbone_config.get("model_type"			)
                     UpperCamelCase					 =		CONFIG_MAPPING[backbone_model_type]
                     UpperCamelCase					 =		config_class.from_dict(UpperCAmelCase_			)

              UpperCamelCase					 =		backbone_config
              UpperCamelCase					 =		hidden_size
              UpperCamelCase					 =		initializer_range
              UpperCamelCase					 =		pool_scales
              UpperCamelCase					 =		use_auxiliary_head
              UpperCamelCase					 =		auxiliary_loss_weight
              UpperCamelCase					 =		auxiliary_in_channels
              UpperCamelCase					 =		auxiliary_channels
              UpperCamelCase					 =		auxiliary_num_convs
              UpperCamelCase					 =		auxiliary_concat_input
              UpperCamelCase					 =		loss_ignore_index






       def 	_SCREAMING_SNAKE_CASE       (  self :							Optional[int]			)->  Dict:







              """simple docstring"""
              UpperCamelCase					 =		copy.deepcopy(self.__dict__			)
              UpperCamelCase					 =		self.backbone_config.to_dict()
              UpperCamelCase					 =		self.__class__.model_type
              return output





