code: 
  
  from collections import OrderedDict
  from typing import Mapping
  
  from packaging import version
  
  from ...configuration_utils import PretrainedConfig
  from ...onnx import OnnxConfig
  from ...utils import logging
  
  
  __A   :     Dict      =			logging.get_logger(__name__)
  
  __A   :     Union[str, Any]      =			{
      '''apple/mobilevitv2-1.0''': '''https://huggingface.co/apple/mobilevitv2-1.0/resolve/main/config.json''',
  }
  
  
  
  
  
  
  class    __A				(							lowerCAmelCase ):
      lowerCAmelCase_							:		Tuple						=							"mobilevitv2"
  
  
  
  
  
  
      def __init__(	self			:    int    ,				UpperCAmelCase_			:    Tuple=3    ,				UpperCAmelCase_			:    str=256    ,				UpperCAmelCase_			:    List[Any]=2    ,				UpperCAmelCase_			:    Optional[Any]=2.0    ,				UpperCAmelCase_			:    Optional[int]="swish"    ,				UpperCAmelCase_			:    Optional[Any]=3    ,				UpperCAmelCase_			:    int=32    ,				UpperCAmelCase_			:    Optional[int]=0.1    ,				UpperCAmelCase_			:    str=0.02    ,				UpperCAmelCase_			:    Union[str, Any]=1E-5    ,				UpperCAmelCase_			:    Optional[Any]=512    ,				UpperCAmelCase_			:    Union[str, Any]=[6, 12, 18]    ,				UpperCAmelCase_			:    List[str]=0.1    ,				UpperCAmelCase_			:    Optional[int]=255    ,				UpperCAmelCase_			:    str=[2, 4, 3]    ,				UpperCAmelCase_			:    List[Any]=[128, 192, 256]    ,				UpperCAmelCase_			:    Optional[int]=1.0    ,				UpperCAmelCase_			:    Any=2    ,				UpperCAmelCase_			:    List[str]=0.0    ,				UpperCAmelCase_			:    Dict=0.0    ,				**UpperCAmelCase_			:    Union[str, Any]    ,				):
          super().__init__(**UpperCAmelCase_    )
  
          lowerCAmelCase				:			Tuple    			=      num_channels
          lowerCAmelCase				:			Optional[Any]    			=      image_size
          lowerCAmelCase				:			List[str]    			=      patch_size
          lowerCAmelCase				:			Tuple    			=      expand_ratio
          lowerCAmelCase				:			Tuple    			=      hidden_act
          lowerCAmelCase				:			Optional[int]    			=      conv_kernel_size
          lowerCAmelCase				:			Optional[Any]    			=      output_stride
          lowerCAmelCase				:			str    			=      initializer_range
          lowerCAmelCase				:			Union[str, Any]    			=      layer_norm_eps
          lowerCAmelCase				:			str    			=      n_attn_blocks
          lowerCAmelCase				:			Dict    			=      base_attn_unit_dims
          lowerCAmelCase				:			Optional[int]    			=      width_multiplier
          lowerCAmelCase				:			Any    			=      ffn_multiplier
          lowerCAmelCase				:			Optional[Any]    			=      ffn_dropout
          lowerCAmelCase				:			Tuple    			=      attn_dropout
          lowerCAmelCase				:			int    			=      classifier_dropout_prob
  
          # decode head attributes for semantic segmentation
          lowerCAmelCase				:			str    			=      aspp_out_channels
          lowerCAmelCase				:			Dict    			=      atrous_rates
          lowerCAmelCase				:			str    			=      aspp_dropout_prob
          lowerCAmelCase				:			str    			=      semantic_loss_ignore_index
  
  
  
  
  
  
  class    __A				(							lowerCAmelCase ):
      lowerCAmelCase_							:		List[str]						=							version.parse("1.11" )
  
  
  
  
  
  
      @property
      def 	lowercase__ (	self			:    List[str]    ):
          return OrderedDict([('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'})]    )
  
  
  
  
  
  
      @property
      def 	lowercase__ (	self			:    Optional[Any]    ):
          if self.task == "image-classification":
              return OrderedDict([('logits', {0: 'batch'})]    )
          else:
              return OrderedDict([('last_hidden_state', {0: 'batch'}), ('pooler_output', {0: 'batch'})]    )
  
  
  
  
  
  
      @property
      def 	lowercase__ (	self			:    Tuple    ):
          return 1E-4
  
  
  
  
  
  
style_context: 
  
  __A   :     List[Any]      =			'''
  # Installation de Transformers
  ! pip install transformers datasets
  # Pour installer à partir du code source au lieu de la dernière version, commentez la commande ci-dessus et décommentez la suivante.
  # ! pip install git+https://github.com/huggingface/transformers.git
  '''
  
  __A   :     Dict      =			[{'''type''': '''code''', '''content''': INSTALL_CONTENT}]
  __A   :     Tuple      =			{
      '''{processor_class}''': '''FakeProcessorClass''',
      '''{model_class}''': '''FakeModelClass''',
      '''{object_class}''': '''FakeObjectClass''',
  }
  
  
  
  
  
  