'''simple docstring'''





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_								=							{
    '''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      lowerCAmelCase						(					_a			):
     _SCREAMING_SNAKE_CASE     :     str		="""beit"""



     def __init__(					self				,      lowerCAmelCase__=8192				,      lowerCAmelCase__=768				,      lowerCAmelCase__=12				,      lowerCAmelCase__=12				,      lowerCAmelCase__=3072				,      lowerCAmelCase__="gelu"				,      lowerCAmelCase__=0.0				,      lowerCAmelCase__=0.0				,      lowerCAmelCase__=0.02				,      lowerCAmelCase__=1E-12				,      lowerCAmelCase__=224				,      lowerCAmelCase__=16				,      lowerCAmelCase__=3				,      lowerCAmelCase__=False				,      lowerCAmelCase__=False				,      lowerCAmelCase__=False				,      lowerCAmelCase__=False				,      lowerCAmelCase__=0.1				,      lowerCAmelCase__=0.1				,      lowerCAmelCase__=True				,      lowerCAmelCase__=[3, 5, 7, 11]				,      lowerCAmelCase__=[1, 2, 3, 6]				,      lowerCAmelCase__=True				,      lowerCAmelCase__=0.4				,      lowerCAmelCase__=256				,      lowerCAmelCase__=1				,      lowerCAmelCase__=False				,      lowerCAmelCase__=255				,      **lowerCAmelCase__				,      ):
            super().__init__(**lowerCAmelCase__       )

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

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





class      lowerCAmelCase						(					_a			):
     _SCREAMING_SNAKE_CASE     :     Optional[int]		=version.parse("""1.11"""			)



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





     @property
     def 			a__  (					self       ):
            return 1E-4
from ..utils import DummyObject, requires_backends





class      lowerCAmelCase						(					metaclass=_a			):
     _SCREAMING_SNAKE_CASE     :     Optional[int]		=["""transformers""", """torch""", """note_seq"""]



     def __init__(					self				,      *lowerCAmelCase__				,      **lowerCAmelCase__       ):
            requires_backends(self				,      ['transformers', 'torch', 'note_seq']       )



     @classmethod
     def 			a__  (					cls				,      *lowerCAmelCase__				,      **lowerCAmelCase__       ):
            requires_backends(cls				,      ['transformers', 'torch', 'note_seq']       )





     @classmethod
     def 			a__  (					cls				,      *lowerCAmelCase__				,      **lowerCAmelCase__       ):
            requires_backends(cls				,      ['transformers', 'torch', 'note_seq']       )