


from collections import OrderedDict
from typing import Mapping

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


lowerCamelCase		=						logging.get_logger(__name__)

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





class    _a				(							_lowercase):
	_a    :    List[str]        =				'''rembert'''




	def __init__(   self		:						Dict						,   _SCREAMING_SNAKE_CASE		:						str=25_0300						,   _SCREAMING_SNAKE_CASE		:						Optional[Any]=1152						,   _SCREAMING_SNAKE_CASE		:						Union[str, Any]=32						,   _SCREAMING_SNAKE_CASE		:						int=18						,   _SCREAMING_SNAKE_CASE		:						Tuple=256						,   _SCREAMING_SNAKE_CASE		:						int=1664						,   _SCREAMING_SNAKE_CASE		:						List[Any]=4608						,   _SCREAMING_SNAKE_CASE		:						Tuple="gelu"						,   _SCREAMING_SNAKE_CASE		:						List[str]=0.0						,   _SCREAMING_SNAKE_CASE		:						Optional[int]=0.0						,   _SCREAMING_SNAKE_CASE		:						Optional[Any]=0.1						,   _SCREAMING_SNAKE_CASE		:						Dict=512						,   _SCREAMING_SNAKE_CASE		:						List[str]=2						,   _SCREAMING_SNAKE_CASE		:						int=0.02						,   _SCREAMING_SNAKE_CASE		:						Optional[int]=1E-12						,   _SCREAMING_SNAKE_CASE		:						List[str]=True						,   _SCREAMING_SNAKE_CASE		:						List[Any]=0						,   _SCREAMING_SNAKE_CASE		:						Union[str, Any]=312						,   _SCREAMING_SNAKE_CASE		:						Dict=313						,   **_SCREAMING_SNAKE_CASE		:						str						,   )->			Dict:
			super().__init__(pad_token_id=_SCREAMING_SNAKE_CASE						,   bos_token_id=_SCREAMING_SNAKE_CASE						,   eos_token_id=_SCREAMING_SNAKE_CASE						,   **_SCREAMING_SNAKE_CASE						)

			lowerCAmelCase__  :     int       	=   vocab_size
			lowerCAmelCase__  :     str       	=   input_embedding_size
			lowerCAmelCase__  :     int       	=   output_embedding_size
			lowerCAmelCase__  :     Dict       	=   max_position_embeddings
			lowerCAmelCase__  :     str       	=   hidden_size
			lowerCAmelCase__  :     int       	=   num_hidden_layers
			lowerCAmelCase__  :     List[Any]       	=   num_attention_heads
			lowerCAmelCase__  :     List[str]       	=   intermediate_size
			lowerCAmelCase__  :     List[Any]       	=   hidden_act
			lowerCAmelCase__  :     Tuple       	=   hidden_dropout_prob
			lowerCAmelCase__  :     str       	=   attention_probs_dropout_prob
			lowerCAmelCase__  :     Optional[int]       	=   classifier_dropout_prob
			lowerCAmelCase__  :     int       	=   initializer_range
			lowerCAmelCase__  :     List[str]       	=   type_vocab_size
			lowerCAmelCase__  :     str       	=   layer_norm_eps
			lowerCAmelCase__  :     Optional[int]       	=   use_cache
			lowerCAmelCase__  :     Optional[int]       	=   False





class    _a				(							_lowercase):




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




	@property
	def 				UpperCAmelCase__(   self		:						Union[str, Any]						)->			float:
			return 1E-4








from typing import TYPE_CHECKING

from ...utils import _LazyModule


lowerCamelCase		=						{'''tokenization_phobert''': ['''PhobertTokenizer''']}


if TYPE_CHECKING:
		from .tokenization_phobert import PhobertTokenizer

else:
		import sys

		lowerCamelCase		=						_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




