"""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


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

_a   :	Any 					=     {
    'facebook/data2vec-vision-base-ft': (
        'https://huggingface.co/facebook/data2vec-vision-base-ft/resolve/main/config.json'
    ),
}
class 		__A							(				SCREAMING_SNAKE_CASE_	):
					_UpperCamelCase							:    List[Any]	      =	"data2vec-vision"






					def __init__(	self       ,  a__=768       ,  a__=12       ,  a__=12       ,  a__=3072       ,  a__="gelu"       ,  a__=0.0       ,  a__=0.0       ,  a__=0.0_2       ,  a__=1e-12       ,  a__=224       ,  a__=16       ,  a__=3       ,  a__=False       ,  a__=False       ,  a__=False       ,  a__=False       ,  a__=0.1       ,  a__=0.1       ,  a__=True       ,  a__=[3, 5, 7, 11]       ,  a__=[1, 2, 3, 6]       ,  a__=True       ,  a__=0.4       ,  a__=256       ,  a__=1       ,  a__=False       ,  a__=255       ,  **a__       ,  ):
							super().__init__(**a__						)

							_lowerCAmelCase		: Union[str, Any]						    =  hidden_size
							_lowerCAmelCase		: List[str]						    =  num_hidden_layers
							_lowerCAmelCase		: Union[str, Any]						    =  num_attention_heads
							_lowerCAmelCase		: int						    =  intermediate_size
							_lowerCAmelCase		: Union[str, Any]						    =  hidden_act
							_lowerCAmelCase		: Optional[int]						    =  hidden_dropout_prob
							_lowerCAmelCase		: str						    =  attention_probs_dropout_prob
							_lowerCAmelCase		: Any						    =  initializer_range
							_lowerCAmelCase		: Union[str, Any]						    =  layer_norm_eps

							_lowerCAmelCase		: int						    =  image_size
							_lowerCAmelCase		: Any						    =  patch_size
							_lowerCAmelCase		: Optional[Any]						    =  num_channels
							_lowerCAmelCase		: Tuple						    =  use_mask_token
							_lowerCAmelCase		: Tuple						    =  use_absolute_position_embeddings
							_lowerCAmelCase		: str						    =  use_relative_position_bias
							_lowerCAmelCase		: Dict						    =  use_shared_relative_position_bias
							_lowerCAmelCase		: Optional[Any]						    =  layer_scale_init_value
							_lowerCAmelCase		: Dict						    =  drop_path_rate
							_lowerCAmelCase		: Optional[Any]						    =  use_mean_pooling
							# decode head attributes (semantic segmentation)
							_lowerCAmelCase		: str						    =  out_indices
							_lowerCAmelCase		: Tuple						    =  pool_scales
							# auxiliary head attributes (semantic segmentation)
							_lowerCAmelCase		: str						    =  use_auxiliary_head
							_lowerCAmelCase		: Optional[int]						    =  auxiliary_loss_weight
							_lowerCAmelCase		: int						    =  auxiliary_channels
							_lowerCAmelCase		: Tuple						    =  auxiliary_num_convs
							_lowerCAmelCase		: Dict						    =  auxiliary_concat_input
							_lowerCAmelCase		: Optional[int]						    =  semantic_loss_ignore_index







class 		__A							(				SCREAMING_SNAKE_CASE_	):
					_UpperCamelCase							:    Any	      =	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





"""simple docstring"""




import warnings

from diffusers import StableDiffusionInpaintPipeline as StableDiffusionInpaintPipeline  # noqa F401


warnings.warn(
    'The `inpainting.py` script is outdated. Please use directly `from diffusers import'
    ' StableDiffusionInpaintPipeline` instead.'
)




