

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


a_      =     logging.get_logger(__name__)

a_      =     {
    'microsoft/beit-base-patch16-224-pt22k': (
        'https://huggingface.co/microsoft/beit-base-patch16-224-pt22k/resolve/main/config.json'
    ),
    # See all BEiT models at https://huggingface.co/models?filter=beit
}






class _UpperCamelCase				(				__A ):
			'''simple docstring'''







			lowerCamelCase__							     ='beit'
			def __init__(      self				:			str   ,   a				:			List[Any]=8192   ,   a				:			int=768   ,   a				:			Optional[Any]=12   ,   a				:			Union[str, Any]=12   ,   a				:			Any=3072   ,   a				:			Union[str, Any]="gelu"   ,   a				:			str=0.0   ,   a				:			Tuple=0.0   ,   a				:			Optional[Any]=0.02   ,   a				:			Optional[int]=1e-12   ,   a				:			List[str]=224   ,   a				:			Union[str, Any]=16   ,   a				:			Optional[Any]=3   ,   a				:			Union[str, Any]=False   ,   a				:			int=False   ,   a				:			List[Any]=False   ,   a				:			Optional[Any]=False   ,   a				:			List[Any]=0.1   ,   a				:			List[Any]=0.1   ,   a				:			Tuple=True   ,   a				:			Tuple=[3, 5, 7, 11]   ,   a				:			Optional[int]=[1, 2, 3, 6]   ,   a				:			Optional[Any]=True   ,   a				:			Dict=0.4   ,   a				:			Tuple=256   ,   a				:			int=1   ,   a				:			List[str]=False   ,   a				:			Union[str, Any]=255   ,   **a				:			int   ,   )				->							Optional[Any]:

				"""simple docstring"""

				super().__init__(**a						)

				SCREAMING_SNAKE_CASE :   Optional[int]					  =							vocab_size
				SCREAMING_SNAKE_CASE :   Union[str, Any]					  =							hidden_size
				SCREAMING_SNAKE_CASE :   Tuple					  =							num_hidden_layers
				SCREAMING_SNAKE_CASE :   List[str]					  =							num_attention_heads
				SCREAMING_SNAKE_CASE :   str					  =							intermediate_size
				SCREAMING_SNAKE_CASE :   Tuple					  =							hidden_act
				SCREAMING_SNAKE_CASE :   Tuple					  =							hidden_dropout_prob
				SCREAMING_SNAKE_CASE :   Any					  =							attention_probs_dropout_prob
				SCREAMING_SNAKE_CASE :   List[Any]					  =							initializer_range
				SCREAMING_SNAKE_CASE :   int					  =							layer_norm_eps

				SCREAMING_SNAKE_CASE :   Union[str, Any]					  =							image_size
				SCREAMING_SNAKE_CASE :   Tuple					  =							patch_size
				SCREAMING_SNAKE_CASE :   List[Any]					  =							num_channels
				SCREAMING_SNAKE_CASE :   Optional[Any]					  =							use_mask_token
				SCREAMING_SNAKE_CASE :   Optional[int]					  =							use_absolute_position_embeddings
				SCREAMING_SNAKE_CASE :   Union[str, Any]					  =							use_relative_position_bias
				SCREAMING_SNAKE_CASE :   Union[str, Any]					  =							use_shared_relative_position_bias
				SCREAMING_SNAKE_CASE :   str					  =							layer_scale_init_value
				SCREAMING_SNAKE_CASE :   str					  =							drop_path_rate
				SCREAMING_SNAKE_CASE :   List[str]					  =							use_mean_pooling
				# decode head attributes (semantic segmentation)
				SCREAMING_SNAKE_CASE :   Optional[int]					  =							out_indices
				SCREAMING_SNAKE_CASE :   Dict					  =							pool_scales
				# auxiliary head attributes (semantic segmentation)
				SCREAMING_SNAKE_CASE :   Optional[Any]					  =							use_auxiliary_head
				SCREAMING_SNAKE_CASE :   Any					  =							auxiliary_loss_weight
				SCREAMING_SNAKE_CASE :   Union[str, Any]					  =							auxiliary_channels
				SCREAMING_SNAKE_CASE :   int					  =							auxiliary_num_convs
				SCREAMING_SNAKE_CASE :   List[str]					  =							auxiliary_concat_input
				SCREAMING_SNAKE_CASE :   Optional[Any]					  =							semantic_loss_ignore_index






class _UpperCamelCase				(				__A ):
			'''simple docstring'''







			lowerCamelCase__							     =version.parse('1.11' )
			@property
			def 				__UpperCamelCase			(      self				:			Dict						)				->							Mapping[str, Mapping[int, str]]:

				"""simple docstring"""

				return OrderedDict(
				    [
				        ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
				    ]						)






			@property
			def 				__UpperCamelCase			(      self				:			str						)				->							float:

				"""simple docstring"""

				return 1e-4

import logging

from transformers import PretrainedConfig


_snake_case      = logging.getLogger(__name__)


_snake_case      = {
    '''bertabs-finetuned-cnndm''': '''https://huggingface.co/remi/bertabs-finetuned-cnndm-extractive-abstractive-summarization/resolve/main/config.json''',
}
class       _lowerCAmelCase  (		__magic_name__							):

 """simple docstring"""
 SCREAMING_SNAKE_CASE_				:					int       						="bertabs"

 def __init__(						self			:			Optional[int]					, SCREAMING_SNAKE_CASE__			:			Union[str, Any]=3_05_22					, SCREAMING_SNAKE_CASE__			:			Union[str, Any]=5_12					, SCREAMING_SNAKE_CASE__			:			List[Any]=6					, SCREAMING_SNAKE_CASE__			:			List[str]=5_12					, SCREAMING_SNAKE_CASE__			:			Union[str, Any]=8					, SCREAMING_SNAKE_CASE__			:			List[str]=5_12					, SCREAMING_SNAKE_CASE__			:			List[Any]=0.2					, SCREAMING_SNAKE_CASE__			:			Tuple=6					, SCREAMING_SNAKE_CASE__			:			Any=7_68					, SCREAMING_SNAKE_CASE__			:			str=8					, SCREAMING_SNAKE_CASE__			:			Dict=20_48					, SCREAMING_SNAKE_CASE__			:			List[str]=0.2					, **SCREAMING_SNAKE_CASE__			:			List[str]					, ):






      """simple docstring"""



      super().__init__(**SCREAMING_SNAKE_CASE__   )

      UpperCamelCase						    =					vocab_size
      UpperCamelCase						    =					max_pos

      UpperCamelCase						    =					enc_layers
      UpperCamelCase						    =					enc_hidden_size
      UpperCamelCase						    =					enc_heads
      UpperCamelCase						    =					enc_ff_size
      UpperCamelCase						    =					enc_dropout

      UpperCamelCase						    =					dec_layers
      UpperCamelCase						    =					dec_hidden_size
      UpperCamelCase						    =					dec_heads
      UpperCamelCase						    =					dec_ff_size
      UpperCamelCase						    =					dec_dropout


