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__     						=			{
    'microsoft/beit-base-patch16-224-pt22k': (
        'https://huggingface.co/microsoft/beit-base-patch16-224-pt22k/resolve/main/config.json'
    ),
    # See all BEiT models at https://huggingface.co/models?filter=beit
}
class     a_			(						SCREAMING_SNAKE_CASE						):






 '''simple docstring'''






 UpperCAmelCase_     			= 'beit'




 def __init__(      self :  Optional[int]      ,   lowercase__ :  Optional[int]=8_192      ,   lowercase__ :  Any=768      ,   lowercase__ :  List[str]=12      ,   lowercase__ :  Optional[int]=12      ,   lowercase__ :  Optional[Any]=3_072      ,   lowercase__ :  Optional[Any]="gelu"      ,   lowercase__ :  Optional[Any]=0.0      ,   lowercase__ :  Union[str, Any]=0.0      ,   lowercase__ :  Any=0.02      ,   lowercase__ :  List[str]=1e-12      ,   lowercase__ :  Optional[int]=224      ,   lowercase__ :  Union[str, Any]=16      ,   lowercase__ :  List[str]=3      ,   lowercase__ :  Dict=False      ,   lowercase__ :  int=False      ,   lowercase__ :  Any=False      ,   lowercase__ :  Dict=False      ,   lowercase__ :  Tuple=0.1      ,   lowercase__ :  str=0.1      ,   lowercase__ :  List[str]=True      ,   lowercase__ :  List[Any]=[3, 5, 7, 11]      ,   lowercase__ :  Union[str, Any]=[1, 2, 3, 6]      ,   lowercase__ :  Optional[Any]=True      ,   lowercase__ :  Optional[int]=0.4      ,   lowercase__ :  List[Any]=256      ,   lowercase__ :  str=1      ,   lowercase__ :  List[str]=False      ,   lowercase__ :  Optional[Any]=255      ,   **lowercase__ :  Optional[int]      ,   ):







        '''simple docstring'''



        super().__init__(**lowercase__)

        lowerCAmelCase__					     = vocab_size
        lowerCAmelCase__					     = hidden_size
        lowerCAmelCase__					     = num_hidden_layers
        lowerCAmelCase__					     = num_attention_heads
        lowerCAmelCase__					     = intermediate_size
        lowerCAmelCase__					     = hidden_act
        lowerCAmelCase__					     = hidden_dropout_prob
        lowerCAmelCase__					     = attention_probs_dropout_prob
        lowerCAmelCase__					     = initializer_range
        lowerCAmelCase__					     = layer_norm_eps

        lowerCAmelCase__					     = image_size
        lowerCAmelCase__					     = patch_size
        lowerCAmelCase__					     = num_channels
        lowerCAmelCase__					     = use_mask_token
        lowerCAmelCase__					     = use_absolute_position_embeddings
        lowerCAmelCase__					     = use_relative_position_bias
        lowerCAmelCase__					     = use_shared_relative_position_bias
        lowerCAmelCase__					     = layer_scale_init_value
        lowerCAmelCase__					     = drop_path_rate
        lowerCAmelCase__					     = use_mean_pooling
        # decode head attributes (semantic segmentation)
        lowerCAmelCase__					     = out_indices
        lowerCAmelCase__					     = pool_scales
        # auxiliary head attributes (semantic segmentation)
        lowerCAmelCase__					     = use_auxiliary_head
        lowerCAmelCase__					     = auxiliary_loss_weight
        lowerCAmelCase__					     = auxiliary_channels
        lowerCAmelCase__					     = auxiliary_num_convs
        lowerCAmelCase__					     = auxiliary_concat_input
        lowerCAmelCase__					     = semantic_loss_ignore_index






class     a_			(						SCREAMING_SNAKE_CASE						):






 '''simple docstring'''






 UpperCAmelCase_     			= version.parse('1.11'						)




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







        '''simple docstring'''



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




 @property
 def 		__snake_case						(      self :  List[Any]):







        '''simple docstring'''



        return 1e-4

import numpy as np






def 				__lowerCamelCase		(						lowerCAmelCase__     ):
       return 1 / (1 + np.exp(-vector     ))






def 				__lowerCamelCase		(						lowerCAmelCase__     ):
       return vector * sigmoid(lowerCAmelCase__     )


if __name__ == "__main__":
    import doctest

    doctest.testmod()
