'''simple docstring'''





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


SCREAMING_SNAKE_CASE_:					List[Any]  =logging.get_logger(__name__)

SCREAMING_SNAKE_CASE_:					Tuple  ={
    'studio-ousia/luke-base': 'https://huggingface.co/studio-ousia/luke-base/resolve/main/config.json',
    'studio-ousia/luke-large': 'https://huggingface.co/studio-ousia/luke-large/resolve/main/config.json',
}




class 	__A				(			UpperCamelCase__     ):
				a__	:						List[Any]	       =  """luke"""



				def __init__(self   :   Tuple       ,      __a   :   Optional[int]=50267       ,      __a   :   Union[str, Any]=500000       ,      __a   :   int=768       ,      __a   :   List[Any]=256       ,      __a   :   int=12       ,      __a   :   str=12       ,      __a   :   Union[str, Any]=3072       ,      __a   :   Union[str, Any]="gelu"       ,      __a   :   List[str]=0.1       ,      __a   :   Dict=0.1       ,      __a   :   Optional[Any]=512       ,      __a   :   Optional[Any]=2       ,      __a   :   Dict=0.02       ,      __a   :   Any=1E-12       ,      __a   :   Optional[Any]=True       ,      __a   :   Tuple=None       ,      __a   :   Any=1       ,      __a   :   List[Any]=0       ,      __a   :   Union[str, Any]=2       ,      **__a   :   List[Any]       ,      ):
									super().__init__(pad_token_id=__a       ,      bos_token_id=__a       ,      eos_token_id=__a       ,      **__a			)

									UpperCAmelCase_	   =       vocab_size
									UpperCAmelCase_	   =       entity_vocab_size
									UpperCAmelCase_	   =       hidden_size
									UpperCAmelCase_	   =       entity_emb_size
									UpperCAmelCase_	   =       num_hidden_layers
									UpperCAmelCase_	   =       num_attention_heads
									UpperCAmelCase_	   =       hidden_act
									UpperCAmelCase_	   =       intermediate_size
									UpperCAmelCase_	   =       hidden_dropout_prob
									UpperCAmelCase_	   =       attention_probs_dropout_prob
									UpperCAmelCase_	   =       max_position_embeddings
									UpperCAmelCase_	   =       type_vocab_size
									UpperCAmelCase_	   =       initializer_range
									UpperCAmelCase_	   =       layer_norm_eps
									UpperCAmelCase_	   =       use_entity_aware_attention
									UpperCAmelCase_	   =       classifier_dropout





'''simple docstring'''





from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


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

SCREAMING_SNAKE_CASE_:					Tuple  ={
    'microsoft/resnet-50': 'https://huggingface.co/microsoft/resnet-50/blob/main/config.json',
}




class 	__A				(			UpperCamelCase__		,     UpperCamelCase__     ):
    a__	:						Optional[Any]	       =  """resnet"""
    a__	:						Tuple	       =  ["""basic""", """bottleneck"""]



    def __init__(self   :   List[Any]       ,      __a   :   Any=3       ,      __a   :   Dict=64       ,      __a   :   Union[str, Any]=[256, 512, 1024, 2048]       ,      __a   :   str=[3, 4, 6, 3]       ,      __a   :   Optional[Any]="bottleneck"       ,      __a   :   Tuple="relu"       ,      __a   :   int=False       ,      __a   :   Optional[int]=None       ,      __a   :   str=None       ,      **__a   :   Dict       ,      ):
         super().__init__(**__a			)
         if layer_type not in self.layer_types:
              raise ValueError(f"""layer_type={layer_type} is not one of {",".join(self.layer_types			)}"""			)
         UpperCAmelCase_	   =       num_channels
         UpperCAmelCase_	   =       embedding_size
         UpperCAmelCase_	   =       hidden_sizes
         UpperCAmelCase_	   =       depths
         UpperCAmelCase_	   =       layer_type
         UpperCAmelCase_	   =       hidden_act
         UpperCAmelCase_	   =       downsample_in_first_stage
         UpperCAmelCase_	   =       ["stem"] + [f"""stage{idx}""" for idx in range(1       ,      len(__a			) + 1			)]
         UpperCAmelCase_   ,			UpperCAmelCase_	   =       get_aligned_output_features_output_indices(
             out_features=__a       ,      out_indices=__a       ,      stage_names=self.stage_names			)




class 	__A				(			UpperCamelCase__     ):
    a__	:						int	       =  version.parse("""1.11"""     )



    @property
    def  _lowercase						(self   :   Optional[int]			):
         return OrderedDict(
             [
                 ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
             ]			)






    @property
    def  _lowercase						(self   :   str			):
         return 1E-3




