



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			  =			{
    '''kssteven/ibert-roberta-base''': '''https://huggingface.co/kssteven/ibert-roberta-base/resolve/main/config.json''',
    '''kssteven/ibert-roberta-large''': '''https://huggingface.co/kssteven/ibert-roberta-large/resolve/main/config.json''',
    '''kssteven/ibert-roberta-large-mnli''': (
        '''https://huggingface.co/kssteven/ibert-roberta-large-mnli/resolve/main/config.json'''
    ),
}



class 							lowerCAmelCase_						(    A_				):
       UpperCAmelCase__							:   Optional[Any]  	=    "ibert"
       def __init__(     self,     SCREAMING_SNAKE_CASE_=3_0522,     SCREAMING_SNAKE_CASE_=768,     SCREAMING_SNAKE_CASE_=12,     SCREAMING_SNAKE_CASE_=12,     SCREAMING_SNAKE_CASE_=3072,     SCREAMING_SNAKE_CASE_="gelu",     SCREAMING_SNAKE_CASE_=0.1,     SCREAMING_SNAKE_CASE_=0.1,     SCREAMING_SNAKE_CASE_=512,     SCREAMING_SNAKE_CASE_=2,     SCREAMING_SNAKE_CASE_=0.02,     SCREAMING_SNAKE_CASE_=1e-12,     SCREAMING_SNAKE_CASE_=1,     SCREAMING_SNAKE_CASE_=0,     SCREAMING_SNAKE_CASE_=2,     SCREAMING_SNAKE_CASE_="absolute",     SCREAMING_SNAKE_CASE_=False,     SCREAMING_SNAKE_CASE_="none",     **SCREAMING_SNAKE_CASE_,     )	->						Any:
          super().__init__(pad_token_id=SCREAMING_SNAKE_CASE_,     bos_token_id=SCREAMING_SNAKE_CASE_,     eos_token_id=SCREAMING_SNAKE_CASE_,     **SCREAMING_SNAKE_CASE_			)

          UpperCamelCase       :    Optional[int]		      =      vocab_size
          UpperCamelCase       :    Dict		      =      hidden_size
          UpperCamelCase       :    List[str]		      =      num_hidden_layers
          UpperCamelCase       :    int		      =      num_attention_heads
          UpperCamelCase       :    Tuple		      =      hidden_act
          UpperCamelCase       :    str		      =      intermediate_size
          UpperCamelCase       :    Union[str, Any]		      =      hidden_dropout_prob
          UpperCamelCase       :    Tuple		      =      attention_probs_dropout_prob
          UpperCamelCase       :    Any		      =      max_position_embeddings
          UpperCamelCase       :    Dict		      =      type_vocab_size
          UpperCamelCase       :    List[Any]		      =      initializer_range
          UpperCamelCase       :    Dict		      =      layer_norm_eps
          UpperCamelCase       :    List[Any]		      =      position_embedding_type
          UpperCamelCase       :    Any		      =      quant_mode
          UpperCamelCase       :    List[str]		      =      force_dequant






class 							lowerCAmelCase_						(    A_				):
       @property
       def    snake_case_			(     self			)	->						Mapping[str, Mapping[int, str]]:
          if self.task == "multiple-choice":
             UpperCamelCase       :    Dict		      =      {0: """batch""", 1: """choice""", 2: """sequence"""}
          else:
             UpperCamelCase       :    Optional[int]		      =      {0: """batch""", 1: """sequence"""}
          return OrderedDict(
              [
                  ('input_ids', dynamic_axis),
                  ('attention_mask', dynamic_axis),
              ]			)







"""simple docstring"""
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				=						{
    """kssteven/ibert-roberta-base""": """https://huggingface.co/kssteven/ibert-roberta-base/resolve/main/config.json""",
    """kssteven/ibert-roberta-large""": """https://huggingface.co/kssteven/ibert-roberta-large/resolve/main/config.json""",
    """kssteven/ibert-roberta-large-mnli""": (
        """https://huggingface.co/kssteven/ibert-roberta-large-mnli/resolve/main/config.json"""
    ),
}




class 	lowercase__				(					A_				):
   __UpperCAmelCase							       =					'''ibert'''





   def __init__(							self      ,   SCREAMING_SNAKE_CASE=3_0522      ,   SCREAMING_SNAKE_CASE=768      ,   SCREAMING_SNAKE_CASE=12      ,   SCREAMING_SNAKE_CASE=12      ,   SCREAMING_SNAKE_CASE=3072      ,   SCREAMING_SNAKE_CASE="gelu"      ,   SCREAMING_SNAKE_CASE=0.1      ,   SCREAMING_SNAKE_CASE=0.1      ,   SCREAMING_SNAKE_CASE=512      ,   SCREAMING_SNAKE_CASE=2      ,   SCREAMING_SNAKE_CASE=0.02      ,   SCREAMING_SNAKE_CASE=1e-1_2      ,   SCREAMING_SNAKE_CASE=1      ,   SCREAMING_SNAKE_CASE=0      ,   SCREAMING_SNAKE_CASE=2      ,   SCREAMING_SNAKE_CASE="absolute"      ,   SCREAMING_SNAKE_CASE=False      ,   SCREAMING_SNAKE_CASE="none"      ,   **SCREAMING_SNAKE_CASE      ,   )  ->  Any:
      super().__init__(pad_token_id=SCREAMING_SNAKE_CASE      ,   bos_token_id=SCREAMING_SNAKE_CASE      ,   eos_token_id=SCREAMING_SNAKE_CASE      ,   **SCREAMING_SNAKE_CASE)

      _lowerCamelCase	:					Optional[int]   =		vocab_size
      _lowerCamelCase	:					Dict   =		hidden_size
      _lowerCamelCase	:					List[str]   =		num_hidden_layers
      _lowerCamelCase	:					int   =		num_attention_heads
      _lowerCamelCase	:					Tuple   =		hidden_act
      _lowerCamelCase	:					str   =		intermediate_size
      _lowerCamelCase	:					Union[str, Any]   =		hidden_dropout_prob
      _lowerCamelCase	:					Tuple   =		attention_probs_dropout_prob
      _lowerCamelCase	:					Any   =		max_position_embeddings
      _lowerCamelCase	:					Dict   =		type_vocab_size
      _lowerCamelCase	:					List[Any]   =		initializer_range
      _lowerCamelCase	:					Dict   =		layer_norm_eps
      _lowerCamelCase	:					List[Any]   =		position_embedding_type
      _lowerCamelCase	:					Any   =		quant_mode
      _lowerCamelCase	:					List[str]   =		force_dequant







class 	lowercase__				(					A_				):





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

