





import warnings

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


_UpperCamelCase							=			logging.get_logger(__name__)

_UpperCamelCase							=			{
    "RUCAIBox/mvp": "https://huggingface.co/RUCAIBox/mvp/resolve/main/config.json",
}




class 					_lowerCamelCase			(     UpperCamelCase__     ):



      """simple docstring"""






      UpperCAmelCase_    :   Optional[Any]      ="mvp"
      UpperCAmelCase_    :   Union[str, Any]      =["past_key_values"]
      UpperCAmelCase_    :   Union[str, Any]      ={"num_attention_heads": "encoder_attention_heads", "hidden_size": "d_model"}







      def __init__(			self					,    UpperCAmelCase=50267					,    UpperCAmelCase=1024					,    UpperCAmelCase=12					,    UpperCAmelCase=4096					,    UpperCAmelCase=16					,    UpperCAmelCase=12					,    UpperCAmelCase=4096					,    UpperCAmelCase=16					,    UpperCAmelCase=0.0					,    UpperCAmelCase=0.0					,    UpperCAmelCase="gelu"					,    UpperCAmelCase=1024					,    UpperCAmelCase=0.1					,    UpperCAmelCase=0.0					,    UpperCAmelCase=0.0					,    UpperCAmelCase=0.02					,    UpperCAmelCase=0.0					,    UpperCAmelCase=False					,    UpperCAmelCase=True					,    UpperCAmelCase=1					,    UpperCAmelCase=0					,    UpperCAmelCase=2					,    UpperCAmelCase=True					,    UpperCAmelCase=2					,    UpperCAmelCase=2					,    UpperCAmelCase=False					,    UpperCAmelCase=100					,    UpperCAmelCase=800					,    **UpperCAmelCase					,    )							-> Any:






        '''simple docstring'''






        __snake_case :					Dict          =							vocab_size
        __snake_case :					Optional[Any]          =							max_position_embeddings
        __snake_case :					Tuple          =							d_model
        __snake_case :					List[Any]          =							encoder_ffn_dim
        __snake_case :					Any          =							encoder_layers
        __snake_case :					Any          =							encoder_attention_heads
        __snake_case :					List[Any]          =							decoder_ffn_dim
        __snake_case :					Union[str, Any]          =							decoder_layers
        __snake_case :					Tuple          =							decoder_attention_heads
        __snake_case :					List[str]          =							dropout
        __snake_case :					List[str]          =							attention_dropout
        __snake_case :					Any          =							activation_dropout
        __snake_case :					List[Any]          =							activation_function
        __snake_case :					str          =							init_std
        __snake_case :					int          =							encoder_layerdrop
        __snake_case :					int          =							decoder_layerdrop
        __snake_case :					Tuple          =							classifier_dropout
        __snake_case :					Dict          =							use_cache
        __snake_case :					List[Any]          =							encoder_layers
        __snake_case :					str          =							scale_embedding  # scale factor will be sqrt(d_model) if True
        __snake_case :					str          =							use_prompt
        __snake_case :					List[Any]          =							prompt_length
        __snake_case :					int          =							prompt_mid_dim

        super().__init__(
            pad_token_id=lowercase_					,    bos_token_id=lowercase_					,    eos_token_id=lowercase_					,    is_encoder_decoder=lowercase_					,    decoder_start_token_id=lowercase_					,    forced_eos_token_id=lowercase_					,    **lowercase_					,    )

        if self.forced_bos_token_id is None and kwargs.get("force_bos_token_to_be_generated"					,    lowercase_ ):
          __snake_case :					Optional[Any]          =							self.bos_token_id
          warnings.warn(
              F"""Please make sure the config includes `forced_bos_token_id={self.bos_token_id}` in future versions. """
              "The config can simply be saved and uploaded again to be fixed." )








'''simple docstring'''

from collections import OrderedDict
from typing import Mapping

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


__lowerCAmelCase				:      Optional[Any]						      =logging.get_logger(__name__)

__lowerCAmelCase				:      str						      ={
    "distilbert-base-uncased": "https://huggingface.co/distilbert-base-uncased/resolve/main/config.json",
    "distilbert-base-uncased-distilled-squad": (
        "https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/config.json"
    ),
    "distilbert-base-cased": "https://huggingface.co/distilbert-base-cased/resolve/main/config.json",
    "distilbert-base-cased-distilled-squad": (
        "https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/config.json"
    ),
    "distilbert-base-german-cased": "https://huggingface.co/distilbert-base-german-cased/resolve/main/config.json",
    "distilbert-base-multilingual-cased": (
        "https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/config.json"
    ),
    "distilbert-base-uncased-finetuned-sst-2-english": (
        "https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english/resolve/main/config.json"
    ),
}






class   UpperCAmelCase      (			UpperCamelCase__							):
 __lowercase  						=							"""distilbert"""
 __lowercase  						=							{
     """hidden_size""": """dim""",
     """num_attention_heads""": """n_heads""",
     """num_hidden_layers""": """n_layers""",
 }
 def __init__(							self :Tuple		,			lowercase_ :List[str]=3_05_22		,			lowercase_ :Tuple=5_12		,			lowercase_ :List[str]=False		,			lowercase_ :int=6		,			lowercase_ :Optional[int]=12		,			lowercase_ :Optional[int]=7_68		,			lowercase_ :str=4 * 7_68		,			lowercase_ :List[Any]=0.1		,			lowercase_ :str=0.1		,			lowercase_ :Optional[int]="gelu"		,			lowercase_ :Optional[Any]=0.0_2		,			lowercase_ :Optional[Any]=0.1		,			lowercase_ :List[Any]=0.2		,			lowercase_ :str=0		,			**lowercase_ :Union[str, Any]		,			)->				str:
     A__							=     vocab_size
     A__							=     max_position_embeddings
     A__							=     sinusoidal_pos_embds
     A__							=     n_layers
     A__							=     n_heads
     A__							=     dim
     A__							=     hidden_dim
     A__							=     dropout
     A__							=     attention_dropout
     A__							=     activation
     A__							=     initializer_range
     A__							=     qa_dropout
     A__							=     seq_classif_dropout
     super().__init__(**lowercase_		,			pad_token_id=lowercase_				)






class   UpperCAmelCase      (			UpperCamelCase__							):
 @property
 def 	UpperCAmelCase_				(							self :List[str]				)->				Mapping[str, Mapping[int, str]]:
     if self.task == "multiple-choice":
         A__							=     {0: "batch", 1: "choice", 2: "sequence"}
     else:
         A__							=     {0: "batch", 1: "sequence"}
     return OrderedDict(
         [
             ("input_ids", dynamic_axis),
             ("attention_mask", dynamic_axis),
         ]				)



