




"""simple docstring"""

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


a							      =     logging.get_logger(__name__)





class 							lowercase_			(	__lowerCAmelCase     ,      __lowerCAmelCase				):



 '''simple docstring'''
 UpperCAmelCase       :	List[Any]     =      '''maskformer-swin'''

 UpperCAmelCase       :	Optional[int]     =      {
     '''num_attention_heads''': '''num_heads''',
     '''num_hidden_layers''': '''num_layers''',
 }

 def __init__(					self			:			List[str]       ,				_UpperCAmelCase			:			Optional[int]=224       ,				_UpperCAmelCase			:			Optional[int]=4       ,				_UpperCAmelCase			:			int=3       ,				_UpperCAmelCase			:			str=96       ,				_UpperCAmelCase			:			Any=[2, 2, 6, 2]       ,				_UpperCAmelCase			:			Tuple=[3, 6, 12, 24]       ,				_UpperCAmelCase			:			Any=7       ,				_UpperCAmelCase			:			Tuple=4.0       ,				_UpperCAmelCase			:			int=True       ,				_UpperCAmelCase			:			int=0.0       ,				_UpperCAmelCase			:			Optional[int]=0.0       ,				_UpperCAmelCase			:			Union[str, Any]=0.1       ,				_UpperCAmelCase			:			Any="gelu"       ,				_UpperCAmelCase			:			str=False       ,				_UpperCAmelCase			:			Optional[int]=0.02       ,				_UpperCAmelCase			:			str=1E-5       ,				_UpperCAmelCase			:			List[Any]=None       ,				_UpperCAmelCase			:			str=None       ,				**_UpperCAmelCase			:			Optional[Any]       ,				):
       super().__init__(**_UpperCAmelCase						)

       _A     =  image_size
       _A     =  patch_size
       _A     =  num_channels
       _A     =  embed_dim
       _A     =  depths
       _A     =  len(_UpperCAmelCase						)
       _A     =  num_heads
       _A     =  window_size
       _A     =  mlp_ratio
       _A     =  qkv_bias
       _A     =  hidden_dropout_prob
       _A     =  attention_probs_dropout_prob
       _A     =  drop_path_rate
       _A     =  hidden_act
       _A     =  use_absolute_embeddings
       _A     =  layer_norm_eps
       _A     =  initializer_range
       # we set the hidden_size attribute in order to make Swin work with VisionEncoderDecoderModel
       # this indicates the channel dimension after the last stage of the model
       _A     =  int(embed_dim * 2 ** (len(_UpperCAmelCase						) - 1)						)
       _A     =  ['stem'] + [F'''stage{idx}''' for idx in range(1       ,				len(_UpperCAmelCase						) + 1						)]
       _A  ,       _A     =  get_aligned_output_features_output_indices(
           out_features=_UpperCAmelCase       ,				out_indices=_UpperCAmelCase       ,				stage_names=self.stage_names						)







"""simple docstring"""

from ...configuration_utils import PretrainedConfig
from ...utils import logging


a							      =     logging.get_logger(__name__)

a							      =     {
    '''facebook/vit-mae-base''': '''https://huggingface.co/facebook/vit-mae-base/resolve/main/config.json''',
    # See all ViT MAE models at https://huggingface.co/models?filter=vit-mae
}





class 							lowercase_			(	__lowerCAmelCase				):



 '''simple docstring'''
 UpperCAmelCase       :	int     =      '''vit_mae'''

 def __init__(					self			:			Union[str, Any]       ,				_UpperCAmelCase			:			Optional[int]=768       ,				_UpperCAmelCase			:			Tuple=12       ,				_UpperCAmelCase			:			Optional[Any]=12       ,				_UpperCAmelCase			:			Optional[int]=3_072       ,				_UpperCAmelCase			:			Any="gelu"       ,				_UpperCAmelCase			:			Optional[Any]=0.0       ,				_UpperCAmelCase			:			Optional[int]=0.0       ,				_UpperCAmelCase			:			Dict=0.02       ,				_UpperCAmelCase			:			List[Any]=1E-1_2       ,				_UpperCAmelCase			:			Optional[Any]=224       ,				_UpperCAmelCase			:			int=16       ,				_UpperCAmelCase			:			str=3       ,				_UpperCAmelCase			:			Tuple=True       ,				_UpperCAmelCase			:			int=16       ,				_UpperCAmelCase			:			str=512       ,				_UpperCAmelCase			:			int=8       ,				_UpperCAmelCase			:			List[Any]=2_048       ,				_UpperCAmelCase			:			Optional[Any]=0.75       ,				_UpperCAmelCase			:			List[str]=False       ,				**_UpperCAmelCase			:			Union[str, Any]       ,				):
       super().__init__(**_UpperCAmelCase						)

       _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     =  qkv_bias
       _A     =  decoder_num_attention_heads
       _A     =  decoder_hidden_size
       _A     =  decoder_num_hidden_layers
       _A     =  decoder_intermediate_size
       _A     =  mask_ratio
       _A     =  norm_pix_loss

