



import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING


_lowerCamelCase   				=			logging.get_logger(__name__)

_lowerCamelCase   				=			{
    'ut/deta': 'https://huggingface.co/ut/deta/resolve/main/config.json',
}




class   UpperCamelCase_       (     UpperCamelCase__    ):
							lowerCamelCase_           =					"deta"
							lowerCamelCase_           =					{
							    "hidden_size": "d_model",
							    "num_attention_heads": "encoder_attention_heads",
							}


							def __init__(							self    :Dict							,				__A    :Tuple=None							,				__A    :Union[str, Any]=900							,				__A    :str=2048							,				__A    :int=6							,				__A    :Tuple=2048							,				__A    :List[Any]=8							,				__A    :List[Any]=6							,				__A    :Optional[Any]=1024							,				__A    :List[Any]=8							,				__A    :List[str]=0.0							,				__A    :int=True							,				__A    :Any="relu"							,				__A    :str=256							,				__A    :int=0.1							,				__A    :Union[str, Any]=0.0							,				__A    :Union[str, Any]=0.0							,				__A    :List[str]=0.0_2							,				__A    :Dict=1.0							,				__A    :str=True							,				__A    :Tuple=False							,				__A    :int="sine"							,				__A    :str=5							,				__A    :List[str]=4							,				__A    :Optional[int]=4							,				__A    :List[Any]=True							,				__A    :Dict=300							,				__A    :Optional[int]=True							,				__A    :List[Any]=True							,				__A    :List[Any]=1							,				__A    :List[str]=5							,				__A    :Any=2							,				__A    :Tuple=1							,				__A    :List[Any]=1							,				__A    :Any=5							,				__A    :List[Any]=2							,				__A    :Union[str, Any]=0.1							,				__A    :Optional[Any]=0.2_5							,				**__A    :int							,				)   ->   Any:



									"""simple docstring"""



									if backbone_config is None:
											logger.info("""`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone."""		)
											SCREAMING_SNAKE_CASE__			=      CONFIG_MAPPING["""resnet"""](out_features=["""stage2""", """stage3""", """stage4"""]		)
									else:
											if isinstance(__A							,				__A		):
													SCREAMING_SNAKE_CASE__			=      backbone_config.pop("""model_type"""		)
													SCREAMING_SNAKE_CASE__			=      CONFIG_MAPPING[backbone_model_type]
													SCREAMING_SNAKE_CASE__			=      config_class.from_dict(__A		)

									SCREAMING_SNAKE_CASE__			=      backbone_config
									SCREAMING_SNAKE_CASE__			=      num_queries
									SCREAMING_SNAKE_CASE__			=      max_position_embeddings
									SCREAMING_SNAKE_CASE__			=      d_model
									SCREAMING_SNAKE_CASE__			=      encoder_ffn_dim
									SCREAMING_SNAKE_CASE__			=      encoder_layers
									SCREAMING_SNAKE_CASE__			=      encoder_attention_heads
									SCREAMING_SNAKE_CASE__			=      decoder_ffn_dim
									SCREAMING_SNAKE_CASE__			=      decoder_layers
									SCREAMING_SNAKE_CASE__			=      decoder_attention_heads
									SCREAMING_SNAKE_CASE__			=      dropout
									SCREAMING_SNAKE_CASE__			=      attention_dropout
									SCREAMING_SNAKE_CASE__			=      activation_dropout
									SCREAMING_SNAKE_CASE__			=      activation_function
									SCREAMING_SNAKE_CASE__			=      init_std
									SCREAMING_SNAKE_CASE__			=      init_xavier_std
									SCREAMING_SNAKE_CASE__			=      encoder_layerdrop
									SCREAMING_SNAKE_CASE__			=      auxiliary_loss
									SCREAMING_SNAKE_CASE__			=      position_embedding_type
									# deformable attributes
									SCREAMING_SNAKE_CASE__			=      num_feature_levels
									SCREAMING_SNAKE_CASE__			=      encoder_n_points
									SCREAMING_SNAKE_CASE__			=      decoder_n_points
									SCREAMING_SNAKE_CASE__			=      two_stage
									SCREAMING_SNAKE_CASE__			=      two_stage_num_proposals
									SCREAMING_SNAKE_CASE__			=      with_box_refine
									SCREAMING_SNAKE_CASE__			=      assign_first_stage
									if two_stage is True and with_box_refine is False:
											raise ValueError("""If two_stage is True, with_box_refine must be True."""		)
									# Hungarian matcher
									SCREAMING_SNAKE_CASE__			=      class_cost
									SCREAMING_SNAKE_CASE__			=      bbox_cost
									SCREAMING_SNAKE_CASE__			=      giou_cost
									# Loss coefficients
									SCREAMING_SNAKE_CASE__			=      mask_loss_coefficient
									SCREAMING_SNAKE_CASE__			=      dice_loss_coefficient
									SCREAMING_SNAKE_CASE__			=      bbox_loss_coefficient
									SCREAMING_SNAKE_CASE__			=      giou_loss_coefficient
									SCREAMING_SNAKE_CASE__			=      eos_coefficient
									SCREAMING_SNAKE_CASE__			=      focal_alpha
									super().__init__(is_encoder_decoder=__A							,				**__A		)


							@property
							def      _snake_case  (							self    :List[str]		)   ->   int:



									"""simple docstring"""



									return self.encoder_attention_heads


							@property
							def      _snake_case  (							self    :List[Any]		)   ->   int:



									"""simple docstring"""



									return self.d_model


							def      _snake_case  (							self    :Dict		)   ->   List[Any]:



									"""simple docstring"""



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






import inspect
import unittest




class   UpperCamelCase_       (     unittest.TestCase    ):


							def      _snake_case  (							self    :str		)   ->   Union[str, Any]:



									"""simple docstring"""



									try:
											import diffusers  # noqa: F401
									except ImportError:
											assert False


							def      _snake_case  (							self    :Any		)   ->   Any:



									"""simple docstring"""



									import diffusers
									from diffusers.dependency_versions_table import deps

									SCREAMING_SNAKE_CASE__			=      inspect.getmembers(__A							,				inspect.isclass		)

									for cls_name, cls_module in all_classes:
											if "dummy_" in cls_module.__module__:
													for backend in cls_module._backends:
															if backend == "k_diffusion":
																	SCREAMING_SNAKE_CASE__			=      """k-diffusion"""
															elif backend == "invisible_watermark":
																	SCREAMING_SNAKE_CASE__			=      """invisible-watermark"""
															assert backend in deps, f'''{backend} is not in the deps table!'''