





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


lowerCAmelCase_        =			logging.get_logger(__name__)

lowerCAmelCase_        =			{
    """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			(	UpperCAmelCase_							):


  '''simple docstring'''
  a_							:				List[Any]					    ="""mobilevit"""







  def __init__(					self					:    Dict					, UpperCamelCase					:    int=3					, UpperCamelCase					:    Optional[int]=2_56					, UpperCamelCase					:    int=2					, UpperCamelCase					:    Tuple=[1_44, 1_92, 2_40]					, UpperCamelCase					:    int=[16, 32, 64, 96, 1_28, 1_60, 6_40]					, UpperCamelCase					:    Optional[Any]=4					, UpperCamelCase					:    Dict=2.0					, UpperCamelCase					:    Union[str, Any]=4.0					, UpperCamelCase					:    Optional[Any]="silu"					, UpperCamelCase					:    str=3					, UpperCamelCase					:    Optional[int]=32					, UpperCamelCase					:    List[str]=0.1					, UpperCamelCase					:    List[Any]=0.0					, UpperCamelCase					:    Tuple=0.1					, UpperCamelCase					:    str=0.02					, UpperCamelCase					:    Dict=1e-5					, UpperCamelCase					:    Dict=True					, UpperCamelCase					:    Union[str, Any]=2_56					, UpperCamelCase					:    Union[str, Any]=[6, 12, 18]					, UpperCamelCase					:    Dict=0.1					, UpperCamelCase					:    Any=2_55					, **UpperCamelCase					:    List[Any]					, ):


    '''simple docstring'''





    super().__init__(**UpperCamelCase							)

    _snake_case      : Tuple														=		num_channels
    _snake_case      : Optional[int]														=		image_size
    _snake_case      : List[Any]														=		patch_size
    _snake_case      : Optional[Any]														=		hidden_sizes
    _snake_case      : List[str]														=		neck_hidden_sizes
    _snake_case      : str														=		num_attention_heads
    _snake_case      : int														=		mlp_ratio
    _snake_case      : Optional[Any]														=		expand_ratio
    _snake_case      : str														=		hidden_act
    _snake_case      : Tuple														=		conv_kernel_size
    _snake_case      : List[Any]														=		output_stride
    _snake_case      : Optional[Any]														=		hidden_dropout_prob
    _snake_case      : Optional[int]														=		attention_probs_dropout_prob
    _snake_case      : int														=		classifier_dropout_prob
    _snake_case      : List[Any]														=		initializer_range
    _snake_case      : Optional[int]														=		layer_norm_eps
    _snake_case      : Optional[Any]														=		qkv_bias

    # decode head attributes for semantic segmentation
    _snake_case      : str														=		aspp_out_channels
    _snake_case      : Tuple														=		atrous_rates
    _snake_case      : List[Any]														=		aspp_dropout_prob
    _snake_case      : List[Any]														=		semantic_loss_ignore_index




class 				_lowerCAmelCase			(	UpperCAmelCase_							):


  '''simple docstring'''
  a_							:				Dict					    =version.parse("""1.11"""							)







  @property
  def UpperCamelCase_       (					self					:    Dict							):


    '''simple docstring'''





    return OrderedDict([('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'})]							)







  @property
  def UpperCamelCase_       (					self					:    List[str]							):


    '''simple docstring'''





    if self.task == "image-classification":
      return OrderedDict([('logits', {0: 'batch'})]							)
    else:
      return OrderedDict([('last_hidden_state', {0: 'batch'}), ('pooler_output', {0: 'batch'})]							)







  @property
  def UpperCamelCase_       (					self					:    Tuple							):


    '''simple docstring'''





    return 1e-4







import math

def 							__SCREAMING_SNAKE_CASE							( lowerCAmelCase:     int       )      ->				list:
				if n <= 0:
								raise ValueError("Only positive integers have prime factors"       )
				_UpperCAmelCase				:						Union[str, Any]       						=			[]
				while n % 2 == 0:
								pf.append(2       )
								_UpperCAmelCase				:						Tuple       						=			int(n / 2       )
				for i in range(3     ,					int(math.sqrt(lowerCAmelCase       )       ) + 1     ,					2       ):
								while n % i == 0:
												pf.append(lowerCAmelCase       )
												_UpperCAmelCase				:						Optional[int]       						=			int(n / i       )
				if n > 2:
								pf.append(lowerCAmelCase       )
				return pf

def 							__SCREAMING_SNAKE_CASE							( lowerCAmelCase:     int       )      ->				int:
				if n <= 0:
								raise ValueError("Only positive numbers are accepted"       )
				_UpperCAmelCase				:						Dict       						=			1
				_UpperCAmelCase				:						str       						=			1
				while n % 2 == 0:
								temp += 1
								_UpperCAmelCase				:						List[str]       						=			int(n / 2       )
				div *= temp
				for i in range(3     ,					int(math.sqrt(lowerCAmelCase       )       ) + 1     ,					2       ):
								_UpperCAmelCase				:						Any       						=			1
								while n % i == 0:
												temp += 1
												_UpperCAmelCase				:						Any       						=			int(n / i       )
								div *= temp
				if n > 1:
								div *= 2
				return div

def 							__SCREAMING_SNAKE_CASE							( lowerCAmelCase:     int       )      ->				int:
				if n <= 0:
								raise ValueError("Only positive numbers are accepted"       )
				_UpperCAmelCase				:						Optional[Any]       						=			1
				_UpperCAmelCase				:						Union[str, Any]       						=			1
				while n % 2 == 0:
								temp += 1
								_UpperCAmelCase				:						Optional[Any]       						=			int(n / 2       )
				if temp > 1:
								s *= (2**temp - 1) / (2 - 1)
				for i in range(3     ,					int(math.sqrt(lowerCAmelCase       )       ) + 1     ,					2       ):
								_UpperCAmelCase				:						List[str]       						=			1
								while n % i == 0:
												temp += 1
												_UpperCAmelCase				:						List[Any]       						=			int(n / i       )
								if temp > 1:
												s *= (i**temp - 1) / (i - 1)
				return int(lowerCAmelCase       )

def 							__SCREAMING_SNAKE_CASE							( lowerCAmelCase:     int       )      ->				int:
				_UpperCAmelCase				:						Any       						=			n
				for x in set(prime_factors(lowerCAmelCase       )       ):
								s *= (x - 1) / x
				return int(lowerCAmelCase       )


if __name__ == "__main__":
					import doctest

					doctest.testmod()


