




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


__SCREAMING_SNAKE_CASE      :				List[str]				      =logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE      :				List[str]				      ={
    """microsoft/mpnet-base""": """https://huggingface.co/microsoft/mpnet-base/resolve/main/config.json""",
}






class      A     (						_lowerCAmelCase						):
     """simple docstring"""

     _snake_case:		List[Any]       ="mpnet"




     def __init__(      self					:				Optional[int]		,					A__					:				Tuple=3_0_5_2_7		,					A__					:				Optional[int]=7_6_8		,					A__					:				Optional[Any]=1_2		,					A__					:				Optional[Any]=1_2		,					A__					:				int=3_0_7_2		,					A__					:				Union[str, Any]="gelu"		,					A__					:				str=0.1		,					A__					:				Tuple=0.1		,					A__					:				List[str]=5_1_2		,					A__					:				Optional[int]=0.02		,					A__					:				str=1E-12		,					A__					:				str=3_2		,					A__					:				List[str]=1		,					A__					:				Union[str, Any]=0		,					A__					:				Optional[Any]=2		,					**A__					:				str		,					)			->    Dict:
           super().__init__(pad_token_id=A__		,					bos_token_id=A__		,					eos_token_id=A__		,					**A__     )

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





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__SCREAMING_SNAKE_CASE      :				int				      ={"""configuration_nat""": ["""NAT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """NatConfig"""]}


try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __SCREAMING_SNAKE_CASE      :				Optional[int]				      =[
          """NAT_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """NatForImageClassification""",
          """NatModel""",
          """NatPreTrainedModel""",
          """NatBackbone""",
      ]

if TYPE_CHECKING:
      from .configuration_nat import NAT_PRETRAINED_CONFIG_ARCHIVE_MAP, NatConfig

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_nat import (
                NAT_PRETRAINED_MODEL_ARCHIVE_LIST,
                NatBackbone,
                NatForImageClassification,
                NatModel,
                NatPreTrainedModel,
            )

else:
      import sys

      __SCREAMING_SNAKE_CASE      :				Any				      =_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)