




import copy
from typing import Dict, Optional

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING
from ..detr import DetrConfig
from ..swin import SwinConfig


__UpperCamelCase   :			str          = {
    "facebook/maskformer-swin-base-ade": (
        "https://huggingface.co/facebook/maskformer-swin-base-ade/blob/main/config.json"
    )
    # See all MaskFormer models at https://huggingface.co/models?filter=maskformer
}

__UpperCamelCase   :			str          = logging.get_logger(__name__)

class 						__lowerCAmelCase      (      __magic_name__					):
							UpperCamelCase__   	=    '''maskformer'''
							UpperCamelCase__   	=    {'''hidden_size''': '''mask_feature_size'''}
							UpperCamelCase__   	=    ['''resnet''', '''swin''']
							UpperCamelCase__   	=    ['''detr''']
							def __init__(		self		:Union[str, Any]						, __magic_name__		:int = 256						, __magic_name__		:int = 256						, __magic_name__		:float = 0.1						, __magic_name__		:bool = False						, __magic_name__		:Optional[Dict] = None						, __magic_name__		:Optional[Dict] = None						, __magic_name__		:float = 0.02						, __magic_name__		:float = 1.0						, __magic_name__		:float = 1.0						, __magic_name__		:float = 1.0						, __magic_name__		:float = 20.0						, __magic_name__		:Optional[bool] = None						, **__magic_name__		:str						, ):







								'''simple docstring'''







								if backbone_config is None:
									# fall back to https://huggingface.co/microsoft/swin-base-patch4-window12-384-in22k
									a									=				SwinConfig(
									    image_size=384						, in_channels=3						, patch_size=4						, embed_dim=128						, depths=[2, 2, 18, 2]						, num_heads=[4, 8, 16, 32]						, window_size=12						, drop_path_rate=0.3						, out_features=["""stage1""", """stage2""", """stage3""", """stage4"""]						, )

								if isinstance(__magic_name__						, __magic_name__							):
									a									=				backbone_config.pop("""model_type"""							)
									a									=				CONFIG_MAPPING[backbone_model_type]
									a									=				config_class.from_dict(__magic_name__							)

								# verify that the backbone is supported
								if backbone_config.model_type not in self.backbones_supported:
									logger.warning_once(
									    F'Backbone {backbone_config.model_type} is not a supported model and may not be compatible with MaskFormer. '
									    F'Supported model types: {",".join(self.backbones_supported							)}'							)

								if decoder_config is None:
									# fall back to https://huggingface.co/facebook/detr-resnet-50
									a									=				DetrConfig()
								else:
									# verify that the decoder is supported
									a									=				(
									    decoder_config.pop("""model_type"""							) if isinstance(__magic_name__						, __magic_name__							) else decoder_config.model_type
									)
									if decoder_type not in self.decoders_supported:
										raise ValueError(
										    F'Transformer Decoder {decoder_type} not supported, please use one of'
										    F' {",".join(self.decoders_supported							)}'							)
									if isinstance(__magic_name__						, __magic_name__							):
										a									=				CONFIG_MAPPING[decoder_type]
										a									=				config_class.from_dict(__magic_name__							)

								a									=				backbone_config
								a									=				decoder_config
								# main feature dimension for the model
								a									=				fpn_feature_size
								a									=				mask_feature_size
								# initializer
								a									=				init_std
								a									=				init_xavier_std
								# Hungarian matcher && loss
								a									=				cross_entropy_weight
								a									=				dice_weight
								a									=				mask_weight
								a									=				use_auxiliary_loss
								a									=				no_object_weight
								a									=				output_auxiliary_logits

								a									=				self.decoder_config.encoder_attention_heads
								a									=				self.decoder_config.num_hidden_layers
								super().__init__(**__magic_name__							)
							@classmethod
							def  lowerCamelCase__				(		cls		:Dict						, __magic_name__		:PretrainedConfig						, __magic_name__		:PretrainedConfig						, **__magic_name__		:Any							):







								'''simple docstring'''







								return cls(
								    backbone_config=__magic_name__						, decoder_config=__magic_name__						, **__magic_name__						, )





							def  lowerCamelCase__				(		self		:Tuple							):







								'''simple docstring'''







								a									=				copy.deepcopy(self.__dict__							)
								a									=				self.backbone_config.to_dict()
								a									=				self.decoder_config.to_dict()
								a									=				self.__class__.model_type
								return output







import inspect
import warnings
from typing import Any, Dict, Optional, Union

from packaging import version





def 						__A						(      *__lowerCamelCase				,     __lowerCamelCase = None				,     __lowerCamelCase=True				,     __lowerCamelCase=2       ) ->			Dict:
	from .. import __version__

	a									=				take_from
	a									=				()
	if not isinstance(args[0]				,     __lowerCamelCase       ):
		a									=				(args,)

	for attribute, version_name, message in args:
		if version.parse(version.parse(__lowerCamelCase       ).base_version       ) >= version.parse(__lowerCamelCase       ):
			raise ValueError(
			    f'The deprecation tuple {(attribute, version_name, message)} should be removed since diffusers\''
			    f' version {__version__} is >= {version_name}'       )

		a									=				None
		if isinstance(__lowerCamelCase				,     __lowerCamelCase       ) and attribute in deprecated_kwargs:
			values += (deprecated_kwargs.pop(__lowerCamelCase       ),)
			a									=				f'The `{attribute}` argument is deprecated and will be removed in version {version_name}.'
		elif hasattr(__lowerCamelCase				,     __lowerCamelCase       ):
			values += (getattr(__lowerCamelCase				,     __lowerCamelCase       ),)
			a									=				f'The `{attribute}` attribute is deprecated and will be removed in version {version_name}.'
		elif deprecated_kwargs is None:
			a									=				f'`{attribute}` is deprecated and will be removed in version {version_name}.'

		if warning is not None:
			a									=				warning + """ """ if standard_warn else """"""
			warnings.warn(warning + message				,     __lowerCamelCase				,     stacklevel=__lowerCamelCase       )

	if isinstance(__lowerCamelCase				,     __lowerCamelCase       ) and len(__lowerCamelCase       ) > 0:
		a									=				inspect.getouterframes(inspect.currentframe()       )[1]
		a									=				call_frame.filename
		a									=				call_frame.lineno
		a									=				call_frame.function
		a							,					a									=				next(iter(deprecated_kwargs.items()       )       )
		raise TypeError(f'{function} in {filename} line {line_number-1} got an unexpected keyword argument `{key}`'       )

	if len(__lowerCamelCase       ) == 0:
		return
	elif len(__lowerCamelCase       ) == 1:
		return values[0]
	return values

