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


_SCREAMING_SNAKE_CASE     =     logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE     =     {
    """microsoft/mpnet-base""": """https://huggingface.co/microsoft/mpnet-base/resolve/main/config.json""",
}







class        UpperCAmelCase_					(				lowercase__     ):
    UpperCAmelCase_      :							Union[str, Any]    			=				'mpnet'




    def __init__(       self	: Tuple   ,   lowerCAmelCase	: str=30527   ,   lowerCAmelCase	: Dict=768   ,   lowerCAmelCase	: str=12   ,   lowerCAmelCase	: Any=12   ,   lowerCAmelCase	: List[str]=3072   ,   lowerCAmelCase	: Optional[int]="gelu"   ,   lowerCAmelCase	: Any=0.1   ,   lowerCAmelCase	: List[str]=0.1   ,   lowerCAmelCase	: Optional[Any]=512   ,   lowerCAmelCase	: List[Any]=0.02   ,   lowerCAmelCase	: Any=1e-1_2   ,   lowerCAmelCase	: List[str]=32   ,   lowerCAmelCase	: Optional[Any]=1   ,   lowerCAmelCase	: str=0   ,   lowerCAmelCase	: List[str]=2   ,   **lowerCAmelCase	: List[str]   ,   )						->			Any:
      super().__init__(pad_token_id=SCREAMING_SNAKE_CASE__   ,   bos_token_id=SCREAMING_SNAKE_CASE__   ,   eos_token_id=SCREAMING_SNAKE_CASE__   ,   **SCREAMING_SNAKE_CASE__ )

      a__  		=  vocab_size
      a__  		=  hidden_size
      a__  		=  num_hidden_layers
      a__  		=  num_attention_heads
      a__  		=  hidden_act
      a__  		=  intermediate_size
      a__  		=  hidden_dropout_prob
      a__  		=  attention_probs_dropout_prob
      a__  		=  max_position_embeddings
      a__  		=  initializer_range
      a__  		=  layer_norm_eps
      a__  		=  relative_attention_num_buckets






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCAmelCase_			      =  {'''configuration_qdqbert''': ['''QDQBERT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''QDQBertConfig''']}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						UpperCAmelCase_			      =  [
						    '''QDQBERT_PRETRAINED_MODEL_ARCHIVE_LIST''',
						    '''QDQBertForMaskedLM''',
						    '''QDQBertForMultipleChoice''',
						    '''QDQBertForNextSentencePrediction''',
						    '''QDQBertForQuestionAnswering''',
						    '''QDQBertForSequenceClassification''',
						    '''QDQBertForTokenClassification''',
						    '''QDQBertLayer''',
						    '''QDQBertLMHeadModel''',
						    '''QDQBertModel''',
						    '''QDQBertPreTrainedModel''',
						    '''load_tf_weights_in_qdqbert''',
						]


if TYPE_CHECKING:
						from .configuration_qdqbert import QDQBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, QDQBertConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_qdqbert import (
												    QDQBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
												    QDQBertForMaskedLM,
												    QDQBertForMultipleChoice,
												    QDQBertForNextSentencePrediction,
												    QDQBertForQuestionAnswering,
												    QDQBertForSequenceClassification,
												    QDQBertForTokenClassification,
												    QDQBertLayer,
												    QDQBertLMHeadModel,
												    QDQBertModel,
												    QDQBertPreTrainedModel,
												    load_tf_weights_in_qdqbert,
												)


else:
						import sys

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





