



"""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


UpperCAmelCase:  Tuple			     =				logging.get_logger(__name__)

UpperCAmelCase:  Any			     =				{
    """facebook/convnext-tiny-224""": """https://huggingface.co/facebook/convnext-tiny-224/resolve/main/config.json""",
    # See all ConvNeXT models at https://huggingface.co/models?filter=convnext
}





class   UpperCamelCase	(     snake_case					,   snake_case       ):




	"""simple docstring"""
	SCREAMING_SNAKE_CASE_							:       List[str]						       =  "convnext"






	def __init__(     self				,UpperCAmelCase_=3				,UpperCAmelCase_=4				,UpperCAmelCase_=4				,UpperCAmelCase_=None				,UpperCAmelCase_=None				,UpperCAmelCase_="gelu"				,UpperCAmelCase_=0.02				,UpperCAmelCase_=1E-12				,UpperCAmelCase_=1E-6				,UpperCAmelCase_=0.0				,UpperCAmelCase_=2_24				,UpperCAmelCase_=None				,UpperCAmelCase_=None				,**UpperCAmelCase_				,):
			super().__init__(**UpperCAmelCase_   )

			_lowercase				: str     =   num_channels
			_lowercase				: Dict     =   patch_size
			_lowercase				: Union[str, Any]     =   num_stages
			_lowercase				: Optional[int]     =   [96, 1_92, 3_84, 7_68] if hidden_sizes is None else hidden_sizes
			_lowercase				: List[str]     =   [3, 3, 9, 3] if depths is None else depths
			_lowercase				: str     =   hidden_act
			_lowercase				: Union[str, Any]     =   initializer_range
			_lowercase				: List[str]     =   layer_norm_eps
			_lowercase				: Union[str, Any]     =   layer_scale_init_value
			_lowercase				: Optional[Any]     =   drop_path_rate
			_lowercase				: Optional[int]     =   image_size
			_lowercase				: Tuple     =   ["""stem"""] + [f"""stage{idx}""" for idx in range(1				,len(self.depths   ) + 1   )]
			_lowercase     ,  _lowercase				: Dict     =   get_aligned_output_features_output_indices(
			    out_features=UpperCAmelCase_				,out_indices=UpperCAmelCase_				,stage_names=self.stage_names   )







class   UpperCamelCase	(     snake_case       ):




	"""simple docstring"""
	SCREAMING_SNAKE_CASE_							:       str						       =  version.parse("1.11"       )






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






	@property
	def    lowerCamelCase__					(     self   ):
			return 1E-5







from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


UpperCAmelCase__        =				logging.get_logger(__name__)

UpperCAmelCase__        =				{
    '''google/rembert''': '''https://huggingface.co/google/rembert/resolve/main/config.json''',
    # See all RemBERT models at https://huggingface.co/models?filter=rembert
}







class  lowerCamelCase__  (			lowerCAmelCase):
     SCREAMING_SNAKE_CASE__      =     '''rembert'''





     def __init__(self						,	UpperCAmelCase=2_5_0_3_0_0						,	UpperCAmelCase=1_1_5_2						,	UpperCAmelCase=3_2						,	UpperCAmelCase=1_8						,	UpperCAmelCase=2_5_6						,	UpperCAmelCase=1_6_6_4						,	UpperCAmelCase=4_6_0_8						,	UpperCAmelCase="gelu"						,	UpperCAmelCase=0.0						,	UpperCAmelCase=0.0						,	UpperCAmelCase=0.1						,	UpperCAmelCase=5_1_2						,	UpperCAmelCase=2						,	UpperCAmelCase=0.02						,	UpperCAmelCase=1e-12						,	UpperCAmelCase=True						,	UpperCAmelCase=0						,	UpperCAmelCase=3_1_2						,	UpperCAmelCase=3_1_3						,	**UpperCAmelCase						,	)	->  Tuple:
      super().__init__(pad_token_id=UpperCAmelCase						,	bos_token_id=UpperCAmelCase						,	eos_token_id=UpperCAmelCase						,	**UpperCAmelCase			)

      _lowercase				 =vocab_size
      _lowercase				 =input_embedding_size
      _lowercase				 =output_embedding_size
      _lowercase				 =max_position_embeddings
      _lowercase				 =hidden_size
      _lowercase				 =num_hidden_layers
      _lowercase				 =num_attention_heads
      _lowercase				 =intermediate_size
      _lowercase				 =hidden_act
      _lowercase				 =hidden_dropout_prob
      _lowercase				 =attention_probs_dropout_prob
      _lowercase				 =classifier_dropout_prob
      _lowercase				 =initializer_range
      _lowercase				 =type_vocab_size
      _lowercase				 =layer_norm_eps
      _lowercase				 =use_cache
      _lowercase				 =False







class  lowerCamelCase__  (			lowerCAmelCase):





     @property
     def 	__A   (self			)	->  Mapping[str, Mapping[int, str]]:
      if self.task == "multiple-choice":
       _lowercase				 ={0: '''batch''', 1: '''choice''', 2: '''sequence'''}
      else:
       _lowercase				 ={0: '''batch''', 1: '''sequence'''}
      return OrderedDict(
          [
              ('''input_ids''', dynamic_axis),
              ('''attention_mask''', dynamic_axis),
              ('''token_type_ids''', dynamic_axis),
          ]			)





     @property
     def 	__A   (self			)	->  float:
      return 1e-4

