


'''simple docstring'''
import copy
from collections import OrderedDict
from typing import Dict, Mapping

from packaging import version

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


lowerCAmelCase   : List[Any]             =				logging.get_logger(__name__)

lowerCAmelCase   : str             =				{
    """facebook/detr-resnet-50""": """https://huggingface.co/facebook/detr-resnet-50/resolve/main/config.json""",
    # See all DETR models at https://huggingface.co/models?filter=detr
}




class        _UpperCamelCase	(    SCREAMING_SNAKE_CASE):


				'''simple docstring'''


				_snake_case						       =				'''detr'''
				_snake_case						       =				['''past_key_values''']
				_snake_case						       =				{
				    '''hidden_size''': '''d_model''',
				    '''num_attention_heads''': '''encoder_attention_heads''',
				}

				def __init__(     self							,      a_=True							,      a_=None							,      a_=3							,      a_=1_0_0							,      a_=6							,      a_=2_0_4_8							,      a_=8							,      a_=6							,      a_=2_0_4_8							,      a_=8							,      a_=0.0							,      a_=0.0							,      a_=True							,      a_="relu"							,      a_=2_5_6							,      a_=0.1							,      a_=0.0							,      a_=0.0							,      a_=0.02							,      a_=1.0							,      a_=False							,      a_="sine"							,      a_="resnet50"							,      a_=True							,      a_=False							,      a_=1							,      a_=5							,      a_=2							,      a_=1							,      a_=1							,      a_=5							,      a_=2							,      a_=0.1							,      **a_							,      )    ->  List[str]:
					if backbone_config is not None and use_timm_backbone:
						raise ValueError("You can't specify both `backbone_config` and `use_timm_backbone`."							)

					if not use_timm_backbone:
						if backbone_config is None:
							logger.info("`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone."							)
							lowercase						:		List[str]   					=		CONFIG_MAPPING["resnet"](out_features=["stage4"]							)
						elif isinstance(a_							,      a_							):
							lowercase						:		Tuple   					=		backbone_config.get("model_type"							)
							lowercase						:		List[str]   					=		CONFIG_MAPPING[backbone_model_type]
							lowercase						:		int   					=		config_class.from_dict(a_							)
						# set timm attributes to None
						lowercase					,		lowercase					,		lowercase						:		Tuple   					=		None, None, None

					lowercase						:		Optional[Any]   					=		use_timm_backbone
					lowercase						:		int   					=		backbone_config
					lowercase						:		List[Any]   					=		num_channels
					lowercase						:		Optional[int]   					=		num_queries
					lowercase						:		Any   					=		d_model
					lowercase						:		List[Any]   					=		encoder_ffn_dim
					lowercase						:		List[str]   					=		encoder_layers
					lowercase						:		Dict   					=		encoder_attention_heads
					lowercase						:		Any   					=		decoder_ffn_dim
					lowercase						:		Tuple   					=		decoder_layers
					lowercase						:		Any   					=		decoder_attention_heads
					lowercase						:		List[str]   					=		dropout
					lowercase						:		Dict   					=		attention_dropout
					lowercase						:		Any   					=		activation_dropout
					lowercase						:		List[str]   					=		activation_function
					lowercase						:		Union[str, Any]   					=		init_std
					lowercase						:		Tuple   					=		init_xavier_std
					lowercase						:		Optional[Any]   					=		encoder_layerdrop
					lowercase						:		Union[str, Any]   					=		decoder_layerdrop
					lowercase						:		Optional[int]   					=		encoder_layers
					lowercase						:		Any   					=		auxiliary_loss
					lowercase						:		Dict   					=		position_embedding_type
					lowercase						:		List[str]   					=		backbone
					lowercase						:		Optional[int]   					=		use_pretrained_backbone
					lowercase						:		List[Any]   					=		dilation
					# Hungarian matcher
					lowercase						:		Union[str, Any]   					=		class_cost
					lowercase						:		Union[str, Any]   					=		bbox_cost
					lowercase						:		Any   					=		giou_cost
					# Loss coefficients
					lowercase						:		str   					=		mask_loss_coefficient
					lowercase						:		Tuple   					=		dice_loss_coefficient
					lowercase						:		int   					=		bbox_loss_coefficient
					lowercase						:		Any   					=		giou_loss_coefficient
					lowercase						:		Dict   					=		eos_coefficient
					super().__init__(is_encoder_decoder=a_							,      **a_							)

				@property
				def 	a__		(     self							)    ->  int:
					return self.encoder_attention_heads

				@property
				def 	a__		(     self							)    ->  int:
					return self.d_model

				@classmethod
				def 	a__		(     cls							,      a_							,      **a_							)    ->  List[str]:
					return cls(backbone_config=a_							,      **a_							)


				def 	a__		(     self							)    ->  Dict[str, any]:
					lowercase						:		List[str]   					=		copy.deepcopy(self.__dict__							)
					if output["backbone_config"] is not None:
						lowercase						:		int   					=		self.backbone_config.to_dict()
					lowercase						:		List[str]   					=		self.__class__.model_type
					return output




class        _UpperCamelCase	(    SCREAMING_SNAKE_CASE):


				'''simple docstring'''


				_snake_case						       =				version.parse('''1.11''')

				@property
				def 	a__		(     self							)    ->  Mapping[str, Mapping[int, str]]:
					return OrderedDict(
					    [
					        ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
					        ("pixel_mask", {0: "batch"}),
					    ]							)

				@property
				def 	a__		(     self							)    ->  float:
					return 1e-5


				@property
				def 	a__		(     self							)    ->  int:
					return 1_2






'''simple docstring'''
from typing import TYPE_CHECKING

from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


lowerCAmelCase   : Dict             =				{"""configuration_van""": ["""VAN_PRETRAINED_CONFIG_ARCHIVE_MAP""", """VanConfig"""]}


try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase   : int             =				[
					    """VAN_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """VanForImageClassification""",
					    """VanModel""",
					    """VanPreTrainedModel""",
					]

if TYPE_CHECKING:
					from .configuration_van import VAN_PRETRAINED_CONFIG_ARCHIVE_MAP, VanConfig

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_van import (
										    VAN_PRETRAINED_MODEL_ARCHIVE_LIST,
										    VanForImageClassification,
										    VanModel,
										    VanPreTrainedModel,
										)

else:
					import sys

					lowerCAmelCase   : Tuple             =				_LazyModule(__name__, globals()["""__file__"""], _import_structure)


