


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


snake_case				:    Optional[int]       				=     logging.get_logger(__name__)

snake_case				:    Optional[int]       				=     {
    '''abeja/gpt-neox-japanese-2.7b''': '''https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve/main/config.json''',
}







class 		_snake_case  (      _snake_case							):
 SCREAMING_SNAKE_CASE__      =       'gpt_neox_japanese'




 def __init__(		self					,  _lowerCamelCase=3_2000					,  _lowerCamelCase=2560					,  _lowerCamelCase=32					,  _lowerCamelCase=32					,  _lowerCamelCase=4					,  _lowerCamelCase="gelu"					,  _lowerCamelCase=1.00					,  _lowerCamelCase=1_0000					,  _lowerCamelCase=2048					,  _lowerCamelCase=0.02					,  _lowerCamelCase=1e-5					,  _lowerCamelCase=True					,  _lowerCamelCase=3_1996					,  _lowerCamelCase=3_1999					,  _lowerCamelCase=0.1					,  _lowerCamelCase=0.0					,  **_lowerCamelCase					,  ):
       super().__init__(bos_token_id=_lowerCamelCase					,  eos_token_id=_lowerCamelCase					,  **_lowerCamelCase    )
       a						:Optional[Any] 							=       vocab_size
       a						:int 							=       max_position_embeddings
       a						:Optional[int] 							=       hidden_size
       a						:Optional[Any] 							=       num_hidden_layers
       a						:Any 							=       num_attention_heads
       a						:Any 							=       intermediate_multiple_size
       a						:Optional[int] 							=       hidden_act
       a						:Tuple 							=       rotary_pct
       a						:Optional[int] 							=       rotary_emb_base
       a						:Any 							=       initializer_range
       a						:List[str] 							=       layer_norm_eps
       a						:List[str] 							=       use_cache
       a						:Tuple 							=       attention_dropout
       a						:List[str] 							=       hidden_dropout












"""simple docstring"""



from collections import OrderedDict
from typing import Mapping

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


a_ =			logging.get_logger(__name__)

a_ =			{
    """roberta-base""": """https://huggingface.co/roberta-base/resolve/main/config.json""",
    """roberta-large""": """https://huggingface.co/roberta-large/resolve/main/config.json""",
    """roberta-large-mnli""": """https://huggingface.co/roberta-large-mnli/resolve/main/config.json""",
    """distilroberta-base""": """https://huggingface.co/distilroberta-base/resolve/main/config.json""",
    """roberta-base-openai-detector""": """https://huggingface.co/roberta-base-openai-detector/resolve/main/config.json""",
    """roberta-large-openai-detector""": """https://huggingface.co/roberta-large-openai-detector/resolve/main/config.json""",
}






class 		__snake_case					(		SCREAMING_SNAKE_CASE__     ):





 """simple docstring"""


 _lowerCamelCase        =     """roberta"""

 def __init__(    self					,						__lowerCamelCase=5_0265					,						__lowerCamelCase=768					,						__lowerCamelCase=12					,						__lowerCamelCase=12					,						__lowerCamelCase=3072					,						__lowerCamelCase="gelu"					,						__lowerCamelCase=0.1					,						__lowerCamelCase=0.1					,						__lowerCamelCase=512					,						__lowerCamelCase=2					,						__lowerCamelCase=0.0_2					,						__lowerCamelCase=1e-1_2					,						__lowerCamelCase=1					,						__lowerCamelCase=0					,						__lowerCamelCase=2					,						__lowerCamelCase="absolute"					,						__lowerCamelCase=True					,						__lowerCamelCase=None					,						**__lowerCamelCase					,						):



     '''simple docstring'''




     super().__init__(pad_token_id=__lowerCamelCase					,						bos_token_id=__lowerCamelCase					,						eos_token_id=__lowerCamelCase					,						**__lowerCamelCase  )

     __A    :						str						 =     vocab_size
     __A    :						Any						 =     hidden_size
     __A    :						Any						 =     num_hidden_layers
     __A    :						int						 =     num_attention_heads
     __A    :						List[Any]						 =     hidden_act
     __A    :						Any						 =     intermediate_size
     __A    :						List[str]						 =     hidden_dropout_prob
     __A    :						List[Any]						 =     attention_probs_dropout_prob
     __A    :						Optional[Any]						 =     max_position_embeddings
     __A    :						str						 =     type_vocab_size
     __A    :						int						 =     initializer_range
     __A    :						Tuple						 =     layer_norm_eps
     __A    :						str						 =     position_embedding_type
     __A    :						int						 =     use_cache
     __A    :						Optional[int]						 =     classifier_dropout






class 		__snake_case					(		SCREAMING_SNAKE_CASE__     ):





 """simple docstring"""


 @property
 def 					UpperCamelCase__(    self  ):



     '''simple docstring'''




     if self.task == "multiple-choice":
         __A    :						List[Any]						 =     {0: '''batch''', 1: '''choice''', 2: '''sequence'''}
     else:
         __A    :						Optional[Any]						 =     {0: '''batch''', 1: '''sequence'''}
     return OrderedDict(
         [
             ('''input_ids''', dynamic_axis),
             ('''attention_mask''', dynamic_axis),
         ]  )




