





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


snake_case_     =	logging.get_logger(__name__)

snake_case_     =	{
    """facebook/levit-128S""": """https://huggingface.co/facebook/levit-128S/resolve/main/config.json""",
    # See all LeViT models at https://huggingface.co/models?filter=levit
}


class   _lowercase						(							a				):
   _UpperCamelCase       		=   """levit"""


   def __init__( self    ,   _UpperCAmelCase=224    ,   _UpperCAmelCase=3    ,   _UpperCAmelCase=3    ,   _UpperCAmelCase=2    ,   _UpperCAmelCase=1    ,   _UpperCAmelCase=16    ,   _UpperCAmelCase=[128, 256, 384]    ,   _UpperCAmelCase=[4, 8, 12]    ,   _UpperCAmelCase=[4, 4, 4]    ,   _UpperCAmelCase=[16, 16, 16]    ,   _UpperCAmelCase=0    ,   _UpperCAmelCase=[2, 2, 2]    ,   _UpperCAmelCase=[2, 2, 2]    ,   _UpperCAmelCase=0.02    ,   **_UpperCAmelCase    ,   ):
       super().__init__(**_UpperCAmelCase					)
       A       :       List[Any]							=						image_size
       A       :       Any							=						num_channels
       A       :       Optional[Any]							=						kernel_size
       A       :       List[str]							=						stride
       A       :       Any							=						padding
       A       :       List[str]							=						hidden_sizes
       A       :       Union[str, Any]							=						num_attention_heads
       A       :       List[Any]							=						depths
       A       :       List[Any]							=						key_dim
       A       :       Tuple							=						drop_path_rate
       A       :       Optional[Any]							=						patch_size
       A       :       Any							=						attention_ratio
       A       :       Dict							=						mlp_ratio
       A       :       Tuple							=						initializer_range
       A       :       Tuple							=						[
           ['''Subsample''', key_dim[0], hidden_sizes[0] // key_dim[0], 4, 2, 2],
           ['''Subsample''', key_dim[0], hidden_sizes[1] // key_dim[0], 4, 2, 2],
       ]







class   _lowercase						(							a				):
   _UpperCamelCase       		=   version.parse("""1.11"""				)


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


   @property
   def 					snake_case				( self					):
       return 1E-4







'''simple docstring'''






snake_case_     =	[
    9_99,
    8_00,
    7_99,
    6_00,
    5_99,
    5_00,
    4_00,
    3_99,
    3_77,
    3_55,
    3_33,
    3_11,
    2_88,
    2_66,
    2_44,
    2_22,
    2_00,
    1_99,
    1_77,
    1_55,
    1_33,
    1_11,
    88,
    66,
    44,
    22,
    0,
]

snake_case_     =	[
    9_99,
    9_76,
    9_52,
    9_28,
    9_05,
    8_82,
    8_58,
    8_57,
    8_10,
    7_62,
    7_15,
    7_14,
    5_72,
    4_29,
    4_28,
    2_86,
    2_85,
    2_38,
    1_90,
    1_43,
    1_42,
    1_18,
    95,
    71,
    47,
    24,
    0,
]

snake_case_     =	[
    9_99,
    9_88,
    9_77,
    9_66,
    9_55,
    9_44,
    9_33,
    9_22,
    9_11,
    9_00,
    8_99,
    8_79,
    8_59,
    8_40,
    8_20,
    8_00,
    7_99,
    7_66,
    7_33,
    7_00,
    6_99,
    6_50,
    6_00,
    5_99,
    5_00,
    4_99,
    4_00,
    3_99,
    3_50,
    3_00,
    2_99,
    2_66,
    2_33,
    2_00,
    1_99,
    1_79,
    1_59,
    1_40,
    1_20,
    1_00,
    99,
    88,
    77,
    66,
    55,
    44,
    33,
    22,
    11,
    0,
]

snake_case_     =	[
    9_99,
    9_95,
    9_92,
    9_89,
    9_85,
    9_81,
    9_78,
    9_75,
    9_71,
    9_67,
    9_64,
    9_61,
    9_57,
    9_56,
    9_51,
    9_47,
    9_42,
    9_37,
    9_33,
    9_28,
    9_23,
    9_19,
    9_14,
    9_13,
    9_08,
    9_03,
    8_97,
    8_92,
    8_87,
    8_81,
    8_76,
    8_71,
    8_70,
    8_64,
    8_58,
    8_52,
    8_46,
    8_40,
    8_34,
    8_28,
    8_27,
    8_20,
    8_13,
    8_06,
    7_99,
    7_92,
    7_85,
    7_84,
    7_77,
    7_70,
    7_63,
    7_56,
    7_49,
    7_42,
    7_41,
    7_33,
    7_24,
    7_16,
    7_07,
    6_99,
    6_98,
    6_88,
    6_77,
    6_66,
    6_56,
    6_55,
    6_45,
    6_34,
    6_23,
    6_13,
    6_12,
    5_98,
    5_84,
    5_70,
    5_69,
    5_55,
    5_41,
    5_27,
    5_26,
    5_05,
    4_84,
    4_83,
    4_62,
    4_40,
    4_39,
    3_96,
    3_95,
    3_52,
    3_51,
    3_08,
    3_07,
    2_64,
    2_63,
    2_20,
    2_19,
    1_76,
    1_32,
    88,
    44,
    0,
]

snake_case_     =	[
    9_99,
    9_97,
    9_95,
    9_92,
    9_90,
    9_88,
    9_86,
    9_84,
    9_81,
    9_79,
    9_77,
    9_75,
    9_72,
    9_70,
    9_68,
    9_66,
    9_64,
    9_61,
    9_59,
    9_57,
    9_56,
    9_54,
    9_51,
    9_49,
    9_46,
    9_44,
    9_41,
    9_39,
    9_36,
    9_34,
    9_31,
    9_29,
    9_26,
    9_24,
    9_21,
    9_19,
    9_16,
    9_14,
    9_13,
    9_10,
    9_07,
    9_05,
    9_02,
    8_99,
    8_96,
    8_93,
    8_91,
    8_88,
    8_85,
    8_82,
    8_79,
    8_77,
    8_74,
    8_71,
    8_70,
    8_67,
    8_64,
    8_61,
    8_58,
    8_55,
    8_52,
    8_49,
    8_46,
    8_43,
    8_40,
    8_37,
    8_34,
    8_31,
    8_28,
    8_27,
    8_24,
    8_21,
    8_17,
    8_14,
    8_11,
    8_08,
    8_04,
    8_01,
    7_98,
    7_95,
    7_91,
    7_88,
    7_85,
    7_84,
    7_80,
    7_77,
    7_74,
    7_70,
    7_66,
    7_63,
    7_60,
    7_56,
    7_52,
    7_49,
    7_46,
    7_42,
    7_41,
    7_37,
    7_33,
    7_30,
    7_26,
    7_22,
    7_18,
    7_14,
    7_10,
    7_07,
    7_03,
    6_99,
    6_98,
    6_94,
    6_90,
    6_85,
    6_81,
    6_77,
    6_73,
    6_69,
    6_64,
    6_60,
    6_56,
    6_55,
    6_50,
    6_46,
    6_41,
    6_36,
    6_32,
    6_27,
    6_22,
    6_18,
    6_13,
    6_12,
    6_07,
    6_02,
    5_96,
    5_91,
    5_86,
    5_80,
    5_75,
    5_70,
    5_69,
    5_63,
    5_57,
    5_51,
    5_45,
    5_39,
    5_33,
    5_27,
    5_26,
    5_19,
    5_12,
    5_05,
    4_98,
    4_91,
    4_84,
    4_83,
    4_74,
    4_66,
    4_57,
    4_49,
    4_40,
    4_39,
    4_28,
    4_18,
    4_07,
    3_96,
    3_95,
    3_81,
    3_66,
    3_52,
    3_51,
    3_30,
    3_08,
    3_07,
    2_86,
    2_64,
    2_63,
    2_42,
    2_20,
    2_19,
    1_76,
    1_75,
    1_32,
    1_31,
    88,
    44,
    0,
]

snake_case_     =	[
    9_99,
    9_91,
    9_82,
    9_74,
    9_66,
    9_58,
    9_50,
    9_41,
    9_33,
    9_25,
    9_16,
    9_08,
    9_00,
    8_99,
    8_74,
    8_50,
    8_25,
    8_00,
    7_99,
    7_00,
    6_00,
    5_00,
    4_00,
    3_00,
    2_00,
    1_00,
    0,
]

snake_case_     =	[
    9_99,
    9_92,
    9_85,
    9_78,
    9_71,
    9_64,
    9_57,
    9_49,
    9_42,
    9_35,
    9_28,
    9_21,
    9_14,
    9_07,
    9_00,
    8_99,
    8_79,
    8_59,
    8_40,
    8_20,
    8_00,
    7_99,
    7_66,
    7_33,
    7_00,
    6_99,
    6_50,
    6_00,
    5_99,
    5_00,
    4_99,
    4_00,
    3_99,
    3_00,
    2_99,
    2_00,
    1_99,
    1_00,
    99,
    0,
]

snake_case_     =	[
    9_99,
    9_96,
    9_92,
    9_89,
    9_85,
    9_82,
    9_79,
    9_75,
    9_72,
    9_68,
    9_65,
    9_61,
    9_58,
    9_55,
    9_51,
    9_48,
    9_44,
    9_41,
    9_38,
    9_34,
    9_31,
    9_27,
    9_24,
    9_20,
    9_17,
    9_14,
    9_10,
    9_07,
    9_03,
    9_00,
    8_99,
    8_91,
    8_84,
    8_76,
    8_69,
    8_61,
    8_53,
    8_46,
    8_38,
    8_30,
    8_23,
    8_15,
    8_08,
    8_00,
    7_99,
    7_88,
    7_77,
    7_66,
    7_55,
    7_44,
    7_33,
    7_22,
    7_11,
    7_00,
    6_99,
    6_88,
    6_77,
    6_66,
    6_55,
    6_44,
    6_33,
    6_22,
    6_11,
    6_00,
    5_99,
    5_85,
    5_71,
    5_57,
    5_42,
    5_28,
    5_14,
    5_00,
    4_99,
    4_85,
    4_71,
    4_57,
    4_42,
    4_28,
    4_14,
    4_00,
    3_99,
    3_79,
    3_59,
    3_40,
    3_20,
    3_00,
    2_99,
    2_79,
    2_59,
    2_40,
    2_20,
    2_00,
    1_99,
    1_66,
    1_33,
    1_00,
    99,
    66,
    33,
    0,
]
