


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


UpperCAmelCase__            =							logging.get_logger(__name__)

UpperCAmelCase__            =							{
    '''apple/mobilevit-small''': '''https://huggingface.co/apple/mobilevit-small/resolve/main/config.json''',
    '''apple/mobilevit-x-small''': '''https://huggingface.co/apple/mobilevit-x-small/resolve/main/config.json''',
    '''apple/mobilevit-xx-small''': '''https://huggingface.co/apple/mobilevit-xx-small/resolve/main/config.json''',
    '''apple/deeplabv3-mobilevit-small''': (
        '''https://huggingface.co/apple/deeplabv3-mobilevit-small/resolve/main/config.json'''
    ),
    '''apple/deeplabv3-mobilevit-x-small''': (
        '''https://huggingface.co/apple/deeplabv3-mobilevit-x-small/resolve/main/config.json'''
    ),
    '''apple/deeplabv3-mobilevit-xx-small''': (
        '''https://huggingface.co/apple/deeplabv3-mobilevit-xx-small/resolve/main/config.json'''
    ),
    # See all MobileViT models at https://huggingface.co/models?filter=mobilevit
}







class 				lowerCamelCase__       (	lowerCAmelCase):
     SCREAMING_SNAKE_CASE__				      =      '''mobilevit'''





     def __init__(self		,					UpperCAmelCase=3		,					UpperCAmelCase=2_5_6		,					UpperCAmelCase=2		,					UpperCAmelCase=[1_4_4, 1_9_2, 2_4_0]		,					UpperCAmelCase=[1_6, 3_2, 6_4, 9_6, 1_2_8, 1_6_0, 6_4_0]		,					UpperCAmelCase=4		,					UpperCAmelCase=2.0		,					UpperCAmelCase=4.0		,					UpperCAmelCase="silu"		,					UpperCAmelCase=3		,					UpperCAmelCase=3_2		,					UpperCAmelCase=0.1		,					UpperCAmelCase=0.0		,					UpperCAmelCase=0.1		,					UpperCAmelCase=0.02		,					UpperCAmelCase=1e-5		,					UpperCAmelCase=True		,					UpperCAmelCase=2_5_6		,					UpperCAmelCase=[6, 1_2, 1_8]		,					UpperCAmelCase=0.1		,					UpperCAmelCase=2_5_5		,					**UpperCAmelCase		,					)					->       Tuple:
      super().__init__(**UpperCAmelCase	)

      _lowercase											=num_channels
      _lowercase											=image_size
      _lowercase											=patch_size
      _lowercase											=hidden_sizes
      _lowercase											=neck_hidden_sizes
      _lowercase											=num_attention_heads
      _lowercase											=mlp_ratio
      _lowercase											=expand_ratio
      _lowercase											=hidden_act
      _lowercase											=conv_kernel_size
      _lowercase											=output_stride
      _lowercase											=hidden_dropout_prob
      _lowercase											=attention_probs_dropout_prob
      _lowercase											=classifier_dropout_prob
      _lowercase											=initializer_range
      _lowercase											=layer_norm_eps
      _lowercase											=qkv_bias

      # decode head attributes for semantic segmentation
      _lowercase											=aspp_out_channels
      _lowercase											=atrous_rates
      _lowercase											=aspp_dropout_prob
      _lowercase											=semantic_loss_ignore_index







class 				lowerCamelCase__       (	lowerCAmelCase):
     SCREAMING_SNAKE_CASE__				      =      version.parse('''1.11''')





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





     @property
     def 					__A (self	)					->       Mapping[str, Mapping[int, str]]:
      if self.task == "image-classification":
       return OrderedDict([('''logits''', {0: '''batch'''})]	)
      else:
       return OrderedDict([('''last_hidden_state''', {0: '''batch'''}), ('''pooler_output''', {0: '''batch'''})]	)





     @property
     def 					__A (self	)					->       float:
      return 1e-4





def     UpperCAmelCase_ (							__snake_case						)					->      str:







 """simple docstring"""


 return " ".join(sorted(set(sentence.split()						)						)						)


if __name__ == "__main__":
  import doctest

  doctest.testmod()

