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


__a  :     List[str]       =  logging.get_logger(__name__)

__a  :     List[str]       =  {
    """facebook/convnextv2-tiny-1k-224""": """https://huggingface.co/facebook/convnextv2-tiny-1k-224/resolve/main/config.json""",
}




class    _UpperCamelCase      (						_UpperCAmelCase						,_UpperCAmelCase ):


			"""simple docstring"""






			__a  : Optional[Any]			 =						'''convnextv2'''





			def __init__(   self      ,   lowerCAmelCase__=3      ,   lowerCAmelCase__=4      ,   lowerCAmelCase__=4      ,   lowerCAmelCase__=None      ,   lowerCAmelCase__=None      ,   lowerCAmelCase__="gelu"      ,   lowerCAmelCase__=0.02      ,   lowerCAmelCase__=1E-12      ,   lowerCAmelCase__=0.0      ,   lowerCAmelCase__=2_24      ,   lowerCAmelCase__=None      ,   lowerCAmelCase__=None      ,   **lowerCAmelCase__      ,   )     ->					str:

							'''simple docstring'''


							super().__init__(**lowerCAmelCase__						)

							__lowercase 			=							num_channels
							__lowercase 			=							patch_size
							__lowercase 			=							num_stages
							__lowercase 			=							[96, 1_92, 3_84, 7_68] if hidden_sizes is None else hidden_sizes
							__lowercase 			=							[3, 3, 9, 3] if depths is None else depths
							__lowercase 			=							hidden_act
							__lowercase 			=							initializer_range
							__lowercase 			=							layer_norm_eps
							__lowercase 			=							drop_path_rate
							__lowercase 			=							image_size
							__lowercase 			=							['''stem'''] + [F"stage{idx}" for idx in range(1      ,   len(self.depths						) + 1						)]
							__lowercase			,     __lowercase 			=							get_aligned_output_features_output_indices(
							    out_features=lowerCAmelCase__      ,   out_indices=lowerCAmelCase__      ,   stage_names=self.stage_names						)
import copy

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


__a  :     int       =  logging.get_logger(__name__)

__a  :     str       =  {
    """ut/deta""": """https://huggingface.co/ut/deta/resolve/main/config.json""",
}




class    _UpperCamelCase      (						_UpperCAmelCase ):


			"""simple docstring"""






			__a  : Optional[int]			 =						'''deta'''
			__a  : Optional[int]			 =						{
			    '''hidden_size''': '''d_model''',
			    '''num_attention_heads''': '''encoder_attention_heads''',
			}





			def __init__(   self      ,   lowerCAmelCase__=None      ,   lowerCAmelCase__=9_00      ,   lowerCAmelCase__=20_48      ,   lowerCAmelCase__=6      ,   lowerCAmelCase__=20_48      ,   lowerCAmelCase__=8      ,   lowerCAmelCase__=6      ,   lowerCAmelCase__=10_24      ,   lowerCAmelCase__=8      ,   lowerCAmelCase__=0.0      ,   lowerCAmelCase__=True      ,   lowerCAmelCase__="relu"      ,   lowerCAmelCase__=2_56      ,   lowerCAmelCase__=0.1      ,   lowerCAmelCase__=0.0      ,   lowerCAmelCase__=0.0      ,   lowerCAmelCase__=0.02      ,   lowerCAmelCase__=1.0      ,   lowerCAmelCase__=True      ,   lowerCAmelCase__=False      ,   lowerCAmelCase__="sine"      ,   lowerCAmelCase__=5      ,   lowerCAmelCase__=4      ,   lowerCAmelCase__=4      ,   lowerCAmelCase__=True      ,   lowerCAmelCase__=3_00      ,   lowerCAmelCase__=True      ,   lowerCAmelCase__=True      ,   lowerCAmelCase__=1      ,   lowerCAmelCase__=5      ,   lowerCAmelCase__=2      ,   lowerCAmelCase__=1      ,   lowerCAmelCase__=1      ,   lowerCAmelCase__=5      ,   lowerCAmelCase__=2      ,   lowerCAmelCase__=0.1      ,   lowerCAmelCase__=0.25      ,   **lowerCAmelCase__      ,   )     ->					List[Any]:

							'''simple docstring'''


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

							__lowercase 			=							backbone_config
							__lowercase 			=							num_queries
							__lowercase 			=							max_position_embeddings
							__lowercase 			=							d_model
							__lowercase 			=							encoder_ffn_dim
							__lowercase 			=							encoder_layers
							__lowercase 			=							encoder_attention_heads
							__lowercase 			=							decoder_ffn_dim
							__lowercase 			=							decoder_layers
							__lowercase 			=							decoder_attention_heads
							__lowercase 			=							dropout
							__lowercase 			=							attention_dropout
							__lowercase 			=							activation_dropout
							__lowercase 			=							activation_function
							__lowercase 			=							init_std
							__lowercase 			=							init_xavier_std
							__lowercase 			=							encoder_layerdrop
							__lowercase 			=							auxiliary_loss
							__lowercase 			=							position_embedding_type
							# deformable attributes
							__lowercase 			=							num_feature_levels
							__lowercase 			=							encoder_n_points
							__lowercase 			=							decoder_n_points
							__lowercase 			=							two_stage
							__lowercase 			=							two_stage_num_proposals
							__lowercase 			=							with_box_refine
							__lowercase 			=							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
							__lowercase 			=							class_cost
							__lowercase 			=							bbox_cost
							__lowercase 			=							giou_cost
							# Loss coefficients
							__lowercase 			=							mask_loss_coefficient
							__lowercase 			=							dice_loss_coefficient
							__lowercase 			=							bbox_loss_coefficient
							__lowercase 			=							giou_loss_coefficient
							__lowercase 			=							eos_coefficient
							__lowercase 			=							focal_alpha
							super().__init__(is_encoder_decoder=lowerCAmelCase__      ,   **lowerCAmelCase__						)





			@property
			def        _SCREAMING_SNAKE_CASE			(   self						)     ->					int:

							'''simple docstring'''


							return self.encoder_attention_heads





			@property
			def        _SCREAMING_SNAKE_CASE			(   self						)     ->					int:

							'''simple docstring'''


							return self.d_model





			def        _SCREAMING_SNAKE_CASE			(   self						)     ->					List[str]:

							'''simple docstring'''


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