code: 
  
  
  '''simple docstring'''
  
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  
  
  lowerCamelCase							:     Union[str, Any]								=			logging.get_logger(__name__)
  
  lowerCamelCase							:     str								=			{
      'microsoft/mpnet-base': 'https://huggingface.co/microsoft/mpnet-base/resolve/main/config.json',
  }
  class 						__lowerCAmelCase		(lowercase_  ):
  
  
  
  
  
        '''simple docstring'''
  
  
  
  
  
  
        lowerCAmelCase__      :  List[str]						      =							"""mpnet"""
  
  
  
        def __init__(self					:					Dict     ,		UpperCamelCase					:					Tuple=30527     ,		UpperCamelCase					:					Tuple=768     ,		UpperCamelCase					:					Union[str, Any]=12     ,		UpperCamelCase					:					Optional[Any]=12     ,		UpperCamelCase					:					str=3072     ,		UpperCamelCase					:					Dict="gelu"     ,		UpperCamelCase					:					Tuple=0.1     ,		UpperCamelCase					:					Dict=0.1     ,		UpperCamelCase					:					Optional[int]=512     ,		UpperCamelCase					:					Tuple=0.02     ,		UpperCamelCase					:					Optional[int]=1E-12     ,		UpperCamelCase					:					Union[str, Any]=32     ,		UpperCamelCase					:					Optional[Any]=1     ,		UpperCamelCase					:					List[Any]=0     ,		UpperCamelCase					:					Any=2     ,		**UpperCamelCase					:					List[str]     ,		):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               super().__init__(pad_token_id=UpperCamelCase     ,		bos_token_id=UpperCamelCase     ,		eos_token_id=UpperCamelCase     ,		**UpperCamelCase				)
  
               lowercase__       =				vocab_size
               lowercase__       =				hidden_size
               lowercase__       =				num_hidden_layers
               lowercase__       =				num_attention_heads
               lowercase__       =				hidden_act
               lowercase__       =				intermediate_size
               lowercase__       =				hidden_dropout_prob
               lowercase__       =				attention_probs_dropout_prob
               lowercase__       =				max_position_embeddings
               lowercase__       =				initializer_range
               lowercase__       =				layer_norm_eps
               lowercase__       =				relative_attention_num_buckets
  
  
  
  
  
style_context: 
  
  
  '''simple docstring'''
  
  from typing import TYPE_CHECKING
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_torch_available,
      is_vision_available,
  )
  
  
  lowerCamelCase							:     Optional[Any]								=			{
      'configuration_mobilevitv2': [
          'MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP',
          'MobileViTV2Config',
          'MobileViTV2OnnxConfig',
      ],
  }
  
  
  try:
   if not is_torch_available():
    raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
   pass
  else:
   lowerCamelCase							:     Optional[int]								=			[
       'MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST',
       'MobileViTV2ForImageClassification',
       'MobileViTV2ForSemanticSegmentation',
       'MobileViTV2Model',
       'MobileViTV2PreTrainedModel',
   ]
  
  if TYPE_CHECKING:
   from .configuration_mobilevitva import (
       MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
       MobileViTVaConfig,
       MobileViTVaOnnxConfig,
   )
  
   try:
    if not is_torch_available():
     raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
    pass
   else:
    from .modeling_mobilevitva import (
        MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST,
        MobileViTVaForImageClassification,
        MobileViTVaForSemanticSegmentation,
        MobileViTVaModel,
        MobileViTVaPreTrainedModel,
    )
  
  else:
   import sys
  
   lowerCamelCase							:     Dict								=			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
  
  
  
  
  