



'''simple docstring'''



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


lowerCAmelCase_     :       Tuple								=						logging.get_logger(__name__)

lowerCAmelCase_     :       str								=						{
    'microsoft/focalnet-tiny': 'https://huggingface.co/microsoft/focalnet-tiny/resolve/main/config.json',
}
class 	lowerCamelCase_							(					snake_case_    ,				snake_case_			):
						_lowerCAmelCase     :   int	     =				'focalnet'







						def __init__(  self   :      Optional[Any]				,    lowerCAmelCase__   :      Tuple=2_24				,    lowerCAmelCase__   :      Tuple=4				,    lowerCAmelCase__   :      Optional[int]=3				,    lowerCAmelCase__   :      str=96				,    lowerCAmelCase__   :      str=False				,    lowerCAmelCase__   :      Union[str, Any]=[1_92, 3_84, 7_68, 7_68]				,    lowerCAmelCase__   :      Optional[int]=[2, 2, 6, 2]				,    lowerCAmelCase__   :      List[str]=[2, 2, 2, 2]				,    lowerCAmelCase__   :      List[Any]=[3, 3, 3, 3]				,    lowerCAmelCase__   :      Optional[int]="gelu"				,    lowerCAmelCase__   :      Optional[Any]=4.0				,    lowerCAmelCase__   :      List[str]=0.0				,    lowerCAmelCase__   :      Optional[int]=0.1				,    lowerCAmelCase__   :      Optional[Any]=False				,    lowerCAmelCase__   :      Dict=1e-4				,    lowerCAmelCase__   :      List[str]=False				,    lowerCAmelCase__   :      str=False				,    lowerCAmelCase__   :      Any=False				,    lowerCAmelCase__   :      Union[str, Any]=0.02				,    lowerCAmelCase__   :      List[str]=1e-5				,    lowerCAmelCase__   :      Any=32				,    lowerCAmelCase__   :      Optional[int]=None				,    lowerCAmelCase__   :      Union[str, Any]=None				,    **lowerCAmelCase__   :      List[str]				,    ):

													"""simple docstring"""
													super().__init__(**lowerCAmelCase__				)

													SCREAMING_SNAKE_CASE					:      str     					=			image_size
													SCREAMING_SNAKE_CASE					:      List[Any]     					=			patch_size
													SCREAMING_SNAKE_CASE					:      Optional[int]     					=			num_channels
													SCREAMING_SNAKE_CASE					:      Optional[int]     					=			embed_dim
													SCREAMING_SNAKE_CASE					:      List[Any]     					=			use_conv_embed
													SCREAMING_SNAKE_CASE					:      Dict     					=			hidden_sizes
													SCREAMING_SNAKE_CASE					:      int     					=			depths
													SCREAMING_SNAKE_CASE					:      Dict     					=			focal_levels
													SCREAMING_SNAKE_CASE					:      List[str]     					=			focal_windows
													SCREAMING_SNAKE_CASE					:      Dict     					=			hidden_act
													SCREAMING_SNAKE_CASE					:      Dict     					=			mlp_ratio
													SCREAMING_SNAKE_CASE					:      Optional[int]     					=			hidden_dropout_prob
													SCREAMING_SNAKE_CASE					:      Any     					=			drop_path_rate
													SCREAMING_SNAKE_CASE					:      str     					=			use_layerscale
													SCREAMING_SNAKE_CASE					:      List[str]     					=			layerscale_value
													SCREAMING_SNAKE_CASE					:      str     					=			use_post_layernorm
													SCREAMING_SNAKE_CASE					:      List[str]     					=			use_post_layernorm_in_modulation
													SCREAMING_SNAKE_CASE					:      List[str]     					=			normalize_modulator
													SCREAMING_SNAKE_CASE					:      Union[str, Any]     					=			initializer_range
													SCREAMING_SNAKE_CASE					:      List[Any]     					=			layer_norm_eps
													SCREAMING_SNAKE_CASE					:      str     					=			encoder_stride
													SCREAMING_SNAKE_CASE					:      int     					=			['''stem'''] + [F"""stage{idx}""" for idx in range(1				,    len(self.depths				) + 1				)]
													SCREAMING_SNAKE_CASE					,SCREAMING_SNAKE_CASE					:      Optional[int]     					=			get_aligned_output_features_output_indices(
													    out_features=lowerCAmelCase__				,    out_indices=lowerCAmelCase__				,    stage_names=self.stage_names				)









'''simple docstring'''



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


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

lowerCAmelCase_     :       Optional[Any]								=						{
    'microsoft/swinv2-tiny-patch4-window8-256': (
        'https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256/resolve/main/config.json'
    ),
}
class 	lowerCamelCase_							(					snake_case_			):
						_lowerCAmelCase     :   str	     =				'swinv2'

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







						def __init__(  self   :      Optional[int]				,    lowerCAmelCase__   :      Any=2_24				,    lowerCAmelCase__   :      Optional[Any]=4				,    lowerCAmelCase__   :      Tuple=3				,    lowerCAmelCase__   :      Tuple=96				,    lowerCAmelCase__   :      Optional[int]=[2, 2, 6, 2]				,    lowerCAmelCase__   :      Tuple=[3, 6, 12, 24]				,    lowerCAmelCase__   :      List[str]=7				,    lowerCAmelCase__   :      Tuple=4.0				,    lowerCAmelCase__   :      Dict=True				,    lowerCAmelCase__   :      Any=0.0				,    lowerCAmelCase__   :      Optional[int]=0.0				,    lowerCAmelCase__   :      Optional[Any]=0.1				,    lowerCAmelCase__   :      int="gelu"				,    lowerCAmelCase__   :      Tuple=False				,    lowerCAmelCase__   :      Tuple=0.02				,    lowerCAmelCase__   :      Dict=1e-5				,    lowerCAmelCase__   :      List[str]=32				,    **lowerCAmelCase__   :      Union[str, Any]				,    ):

													"""simple docstring"""
													super().__init__(**lowerCAmelCase__				)

													SCREAMING_SNAKE_CASE					:      int     					=			image_size
													SCREAMING_SNAKE_CASE					:      Optional[int]     					=			patch_size
													SCREAMING_SNAKE_CASE					:      Union[str, Any]     					=			num_channels
													SCREAMING_SNAKE_CASE					:      int     					=			embed_dim
													SCREAMING_SNAKE_CASE					:      List[Any]     					=			depths
													SCREAMING_SNAKE_CASE					:      str     					=			len(lowerCAmelCase__				)
													SCREAMING_SNAKE_CASE					:      Optional[Any]     					=			num_heads
													SCREAMING_SNAKE_CASE					:      Tuple     					=			window_size
													SCREAMING_SNAKE_CASE					:      Any     					=			mlp_ratio
													SCREAMING_SNAKE_CASE					:      Optional[Any]     					=			qkv_bias
													SCREAMING_SNAKE_CASE					:      Optional[Any]     					=			hidden_dropout_prob
													SCREAMING_SNAKE_CASE					:      int     					=			attention_probs_dropout_prob
													SCREAMING_SNAKE_CASE					:      List[str]     					=			drop_path_rate
													SCREAMING_SNAKE_CASE					:      Any     					=			hidden_act
													SCREAMING_SNAKE_CASE					:      List[Any]     					=			use_absolute_embeddings
													SCREAMING_SNAKE_CASE					:      List[str]     					=			layer_norm_eps
													SCREAMING_SNAKE_CASE					:      Union[str, Any]     					=			initializer_range
													SCREAMING_SNAKE_CASE					:      Dict     					=			encoder_stride
													# we set the hidden_size attribute in order to make Swinv2 work with VisionEncoderDecoderModel
													# this indicates the channel dimension after the last stage of the model
													SCREAMING_SNAKE_CASE					:      Optional[Any]     					=			int(embed_dim * 2 ** (len(lowerCAmelCase__				) - 1)				)
													SCREAMING_SNAKE_CASE					:      int     					=			(0, 0, 0, 0)




