code: def AutoLayoutModel(
      config_path: str,
      model_path: Optional[str] = None,
      label_map: Optional[Dict] = None,
      device: Optional[str] = None,
      extra_config: Optional[Union[Dict, List]] = None,
  ) -> "BaseLayoutModel":
      """[summary]
  
      Args:
          config_path (:obj:`str`):
              The path to the configuration file.
          model_path (:obj:`str`, None):
              The path to the saved weights of the model.
              If set, overwrite the weights in the configuration file.
              Defaults to `None`.
          label_map (:obj:`dict`, optional):
              The map from the model prediction (ids) to real
              word labels (strings). If the config is from one of the supported
              datasets, Layout Parser will automatically initialize the label_map.
              Defaults to `None`.
          device(:obj:`str`, optional):
              Whether to use cuda or cpu devices. If not set, LayoutParser will
              automatically determine the device to initialize the models on.
          extra_config (:obj:`dict`, optional):
              Extra configuration passed used for initializing the layout model.
  
      Returns:
          # BaseLayoutModel: the create LayoutModel instance
      """
      if not is_lp_layout_model_config_any_format(config_path):
          raise ValueError(f"Invalid model config_path {config_path}")
  
      # Try to search for the model keywords
      for backend_name in ALL_AVAILABLE_BACKENDS:
          if backend_name in config_path:
              return ALL_AVAILABLE_BACKENDS[backend_name](
                  config_path,
                  model_path=model_path,
                  label_map=label_map,
                  extra_config=extra_config,
                  device=device,
              )
  
      # Try to search for the dataset keywords
      for dataset_name in ALL_AVAILABLE_DATASETS:
          if dataset_name in config_path:
              return ALL_AVAILABLE_BACKENDS[
                  ALL_AVAILABLE_DATASETS[dataset_name][0]
              ](
                  config_path,
                  model_path=model_path,
                  label_map=label_map,
                  extra_config=extra_config,
                  device=device,
              )
  
      raise ValueError(f"No available model found for {config_path}")
  
imports: from typing import Optional, Dict, Union, List
  from collections import defaultdict
  from .model_config import is_lp_layout_model_config_any_format
  from ..file_utils import is_effdet_available, is_detectron2_available, is_paddle_available
label_desc: Use image node_id 1 for calling a global function with example usage: AutoLayoutModel(config_path, model_path, label_map, device, extra_config) and returns: ALL_AVAILABLE_BACKENDS, ALL_AVAILABLE_BACKENDS