





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


SCREAMING_SNAKE_CASE_   :      Optional[int]			=   logging.get_logger(__name__)

SCREAMING_SNAKE_CASE_   :      List[Any]			=   {
    '''google/vit-base-patch16-224''': '''https://huggingface.co/vit-base-patch16-224/resolve/main/config.json''',
    # See all ViT models at https://huggingface.co/models?filter=vit
}

class 		snake_case_   (							UpperCAmelCase_						):







	'''simple docstring'''
	__UpperCamelCase   =		'''vit'''




	def __init__(						self							:     Tuple					,      __lowerCamelCase							:     List[str]=768					,      __lowerCamelCase							:     Optional[int]=12					,      __lowerCamelCase							:     str=12					,      __lowerCamelCase							:     str=3_072					,      __lowerCamelCase							:     str="gelu"					,      __lowerCamelCase							:     List[Any]=0.0					,      __lowerCamelCase							:     Any=0.0					,      __lowerCamelCase							:     Dict=0.02					,      __lowerCamelCase							:     Union[str, Any]=1E-1_2					,      __lowerCamelCase							:     Any=224					,      __lowerCamelCase							:     Dict=16					,      __lowerCamelCase							:     Tuple=3					,      __lowerCamelCase							:     Optional[int]=True					,      __lowerCamelCase							:     Dict=16					,      **__lowerCamelCase							:     Optional[int]					,      )       -> Tuple:

			'''simple docstring'''




			super().__init__(**__lowerCamelCase   )

			__lowercase											=     hidden_size
			__lowercase											=     num_hidden_layers
			__lowercase											=     num_attention_heads
			__lowercase											=     intermediate_size
			__lowercase											=     hidden_act
			__lowercase											=     hidden_dropout_prob
			__lowercase											=     attention_probs_dropout_prob
			__lowercase											=     initializer_range
			__lowercase											=     layer_norm_eps
			__lowercase											=     image_size
			__lowercase											=     patch_size
			__lowercase											=     num_channels
			__lowercase											=     qkv_bias
			__lowercase											=     encoder_stride





class 		snake_case_   (							UpperCAmelCase_						):







	'''simple docstring'''
	__UpperCamelCase   =		version.parse('''1.11'''						)




	@property
	def    UpperCAmelCase			(						self							:     List[Any]   )       -> Mapping[str, Mapping[int, str]]:

			'''simple docstring'''




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






	@property
	def    UpperCAmelCase			(						self							:     Any   )       -> float:

			'''simple docstring'''




			return 1E-4











def  SCREAMING_SNAKE_CASE				(      snake_case						,   snake_case = False							)		->    str:

		if not isinstance(snake_case						,   snake_case							):
				__lowercase											=     F"Expected string as input, found {type(snake_case							)}"
				raise ValueError(snake_case							)
		if not isinstance(snake_case						,   snake_case							):
				__lowercase											=     F"Expected boolean as use_pascal parameter, found {type(snake_case							)}"
				raise ValueError(snake_case							)

		__lowercase											=     input_str.split('_'							)

		__lowercase											=     0 if use_pascal else 1

		__lowercase											=     words[start_index:]

		__lowercase											=     [word[0].upper() + word[1:] for word in words_to_capitalize]

		__lowercase											=     '' if use_pascal else words[0]

		return "".join([initial_word, *capitalized_words]							)


if __name__ == "__main__":
		from doctest import testmod

		testmod()




