




from ...configuration_utils import PretrainedConfig





class 					snake_case_   (     __lowerCAmelCase	):



				'''simple docstring'''
				lowerCamelCase       =  '''bert-generation'''





				def __init__(      self							:   Optional[int]      ,							__magic_name__							:   Optional[int]=5_0358      ,							__magic_name__							:   Optional[Any]=1024      ,							__magic_name__							:   Optional[int]=24      ,							__magic_name__							:   int=16      ,							__magic_name__							:   List[Any]=4096      ,							__magic_name__							:   List[Any]="gelu"      ,							__magic_name__							:   Union[str, Any]=0.1      ,							__magic_name__							:   Tuple=0.1      ,							__magic_name__							:   List[str]=512      ,							__magic_name__							:   Union[str, Any]=0.02      ,							__magic_name__							:   Optional[int]=1e-12      ,							__magic_name__							:   Any=0      ,							__magic_name__							:   Optional[int]=2      ,							__magic_name__							:   str=1      ,							__magic_name__							:   str="absolute"      ,							__magic_name__							:   int=True      ,							**__magic_name__							:   Union[str, Any]      ,							)							->			List[Any]:
											super().__init__(pad_token_id=_UpperCAmelCase      ,							bos_token_id=_UpperCAmelCase      ,							eos_token_id=_UpperCAmelCase      ,							**_UpperCAmelCase							)

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







"""simple docstring"""

from typing import TYPE_CHECKING

from ..utils import _LazyModule


a							      =     {
    '''config''': [
        '''EXTERNAL_DATA_FORMAT_SIZE_LIMIT''',
        '''OnnxConfig''',
        '''OnnxConfigWithPast''',
        '''OnnxSeq2SeqConfigWithPast''',
        '''PatchingSpec''',
    ],
    '''convert''': ['''export''', '''validate_model_outputs'''],
    '''features''': ['''FeaturesManager'''],
    '''utils''': ['''ParameterFormat''', '''compute_serialized_parameters_size'''],
}


if TYPE_CHECKING:
       from .config import (
           EXTERNAL_DATA_FORMAT_SIZE_LIMIT,
           OnnxConfig,
           OnnxConfigWithPast,
           OnnxSeqaSeqConfigWithPast,
           PatchingSpec,
       )
       from .convert import export, validate_model_outputs
       from .features import FeaturesManager
       from .utils import ParameterFormat, compute_serialized_parameters_size

else:
       import sys

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

