
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


lowercase  :					int													=       logging.get_logger(__name__)

lowercase  :					Dict													=       {
    'facebook/deit-base-distilled-patch16-224': (
        'https://huggingface.co/facebook/deit-base-patch16-224/resolve/main/config.json'
    ),
    # See all DeiT models at https://huggingface.co/models?filter=deit
}




class  lowerCamelCase__							(				snake_case_):




	'''simple docstring'''




	_A								=     'deit'







	def __init__(					self		:Optional[int]     ,   a		:Optional[Any]=7_6_8     ,   a		:List[Any]=1_2     ,   a		:Any=1_2     ,   a		:Optional[Any]=3_0_7_2     ,   a		:Union[str, Any]="gelu"     ,   a		:Union[str, Any]=0.0     ,   a		:int=0.0     ,   a		:str=0.02     ,   a		:str=1E-1_2     ,   a		:Dict=2_2_4     ,   a		:Any=1_6     ,   a		:Tuple=3     ,   a		:Any=True     ,   a		:Optional[int]=1_6     ,   **a		:Any     ,   )		-> int:
								super().__init__(**a						)

								__UpperCamelCase	:   Optional[Any]			   =					hidden_size
								__UpperCamelCase	:   Union[str, Any]			   =					num_hidden_layers
								__UpperCamelCase	:   int			   =					num_attention_heads
								__UpperCamelCase	:   Optional[Any]			   =					intermediate_size
								__UpperCamelCase	:   List[Any]			   =					hidden_act
								__UpperCamelCase	:   List[Any]			   =					hidden_dropout_prob
								__UpperCamelCase	:   Optional[Any]			   =					attention_probs_dropout_prob
								__UpperCamelCase	:   Union[str, Any]			   =					initializer_range
								__UpperCamelCase	:   int			   =					layer_norm_eps
								__UpperCamelCase	:   List[str]			   =					image_size
								__UpperCamelCase	:   List[Any]			   =					patch_size
								__UpperCamelCase	:   Optional[int]			   =					num_channels
								__UpperCamelCase	:   Any			   =					qkv_bias
								__UpperCamelCase	:   str			   =					encoder_stride




class  lowerCamelCase__							(				snake_case_):




	'''simple docstring'''




	_A								=     version.parse('1.11')







	@property
	def    _lowerCamelCase				(					self		:Optional[Any]						)		-> Mapping[str, Mapping[int, str]]:
								return OrderedDict(
								    [
								        ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
								    ]						)







	@property
	def    _lowerCamelCase				(					self		:Union[str, Any]						)		-> float:
								return 1E-4
from torch import nn





class 		_lowercase						(					nn.Module       ):

 def __init__( self	:							Any   ,      snake_case	:							Dict   ,      snake_case	:							Union[str, Any]			)   ->						Dict:

  """simple docstring"""





  super().__init__()
  UpperCamelCase_					:						List[Any] =					class_size
  UpperCamelCase_					:						List[Any] =					embed_size
  # self.mlp1 = nn.Linear(embed_size, embed_size)
  # self.mlp2 = (nn.Linear(embed_size, class_size))
  UpperCamelCase_					:						int =					nn.Linear(snake_case   ,      snake_case			)


 def 						SCREAMING_SNAKE_CASE__   ( self	:							List[str]   ,      snake_case	:							Any			)   ->						str:

  """simple docstring"""





  UpperCamelCase_					:						Dict =					self.mlp(snake_case			)
  return logits



