





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
from ..auto import CONFIG_MAPPING


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

UpperCAmelCase_					:   Union[str, Any] 							=						{
    """microsoft/table-transformer-detection""": (
        """https://huggingface.co/microsoft/table-transformer-detection/resolve/main/config.json"""
    ),
}





class      lowercase__    (							__A  ):
  __UpperCamelCase	     =  """table-transformer"""
  __UpperCamelCase	     =  ["""past_key_values"""]
  __UpperCamelCase	     =  {
      """hidden_size""": """d_model""",
      """num_attention_heads""": """encoder_attention_heads""",
  }







  def __init__(	self    ,						_lowercase=True    ,						_lowercase=None    ,						_lowercase=3    ,						_lowercase=100    ,						_lowercase=6    ,						_lowercase=2_048    ,						_lowercase=8    ,						_lowercase=6    ,						_lowercase=2_048    ,						_lowercase=8    ,						_lowercase=0.0    ,						_lowercase=0.0    ,						_lowercase=True    ,						_lowercase="relu"    ,						_lowercase=256    ,						_lowercase=0.1    ,						_lowercase=0.0    ,						_lowercase=0.0    ,						_lowercase=0.02    ,						_lowercase=1.0    ,						_lowercase=False    ,						_lowercase="sine"    ,						_lowercase="resnet50"    ,						_lowercase=True    ,						_lowercase=False    ,						_lowercase=1    ,						_lowercase=5    ,						_lowercase=2    ,						_lowercase=1    ,						_lowercase=1    ,						_lowercase=5    ,						_lowercase=2    ,						_lowercase=0.1    ,						**_lowercase    ,						):
       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."""						)
                 lowerCAmelCase_					:       Dict    =		CONFIG_MAPPING["""resnet"""](out_features=["""stage4"""]						)
            elif isinstance(_lowercase    ,						_lowercase						):
                 lowerCAmelCase_					:       Tuple    =		backbone_config.get("""model_type"""						)
                 lowerCAmelCase_					:       Optional[Any]    =		CONFIG_MAPPING[backbone_model_type]
                 lowerCAmelCase_					:       List[Any]    =		config_class.from_dict(_lowercase						)
            # set timm attributes to None
            lowerCAmelCase_   ,  lowerCAmelCase_   ,  lowerCAmelCase_					:       Optional[int]    =		None, None, None

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







  @property
  def 	UpperCAmelCase__		(	self						):
       return self.encoder_attention_heads







  @property
  def 	UpperCAmelCase__		(	self						):
       return self.d_model





class      lowercase__    (							__A  ):
  __UpperCamelCase	     =  version.parse("""1.11"""  )







  @property
  def 	UpperCAmelCase__		(	self						):
       return OrderedDict(
           [
               ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
               ("""pixel_mask""", {0: """batch"""}),
           ]						)







  @property
  def 	UpperCAmelCase__		(	self						):
       return 1e-5







  @property
  def 	UpperCAmelCase__		(	self						):
       return 12







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


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

UpperCAmelCase_					:   int 							=						{
    """google/bit-50""": """https://huggingface.co/google/bit-50/resolve/main/config.json""",
}





class      lowercase__    (							__A     ,					__A  ):
  __UpperCamelCase	     =  """bit"""
  __UpperCamelCase	     =  ["""preactivation""", """bottleneck"""]
  __UpperCamelCase	     =  ["""SAME""", """VALID"""]







  def __init__(	self    ,						_lowercase=3    ,						_lowercase=64    ,						_lowercase=[256, 512, 1_024, 2_048]    ,						_lowercase=[3, 4, 6, 3]    ,						_lowercase="preactivation"    ,						_lowercase="relu"    ,						_lowercase=None    ,						_lowercase=32    ,						_lowercase=0.0    ,						_lowercase=False    ,						_lowercase=32    ,						_lowercase=1    ,						_lowercase=None    ,						_lowercase=None    ,						**_lowercase    ,						):
       super().__init__(**_lowercase						)
       if layer_type not in self.layer_types:
            raise ValueError(F'layer_type={layer_type} is not one of {",".join(self.layer_types						)}'						)
       if global_padding is not None:
            if global_padding.upper() in self.supported_padding:
                 lowerCAmelCase_					:       int    =		global_padding.upper()
            else:
                 raise ValueError(F'Padding strategy {global_padding} not supported'						)
       lowerCAmelCase_					:       Optional[Any]    =		num_channels
       lowerCAmelCase_					:       List[str]    =		embedding_size
       lowerCAmelCase_					:       Dict    =		hidden_sizes
       lowerCAmelCase_					:       Optional[int]    =		depths
       lowerCAmelCase_					:       List[Any]    =		layer_type
       lowerCAmelCase_					:       Union[str, Any]    =		hidden_act
       lowerCAmelCase_					:       Optional[int]    =		global_padding
       lowerCAmelCase_					:       Optional[Any]    =		num_groups
       lowerCAmelCase_					:       Optional[Any]    =		drop_path_rate
       lowerCAmelCase_					:       Tuple    =		embedding_dynamic_padding
       lowerCAmelCase_					:       Any    =		output_stride
       lowerCAmelCase_					:       List[Any]    =		width_factor

       lowerCAmelCase_					:       Union[str, Any]    =		["""stem"""] + [F'stage{idx}' for idx in range(1    ,						len(_lowercase						) + 1						)]
       lowerCAmelCase_   ,  lowerCAmelCase_					:       Tuple    =		get_aligned_output_features_output_indices(
           out_features=_lowercase    ,						out_indices=_lowercase    ,						stage_names=self.stage_names						)
