code: def cat_boxes(
      data_list: List[Union[Tensor, BaseBoxes]], dim: int = 0
  ) -> Union[Tensor, BaseBoxes]:
      """Concatenate boxes with type of tensor or box type.
  
      Args:
          data_list (List[Union[Tensor, :obj:`BaseBoxes`]]): A list of tensors
              or box types need to be concatenated.
              dim (int): The dimension over which the box are concatenated.
                  Defaults to 0.
  
      Returns:
          Union[Tensor, :obj`BaseBoxes`]: Concatenated results.
      """
      if data_list and isinstance(data_list[0], BaseBoxes):
          return data_list[0].cat(data_list, dim=dim)
      else:
          return torch.cat(data_list, dim=dim)
  
imports: from typing import List, Optional, Sequence, Tuple, Union
  import numpy
  import torch
  from torch import Tensor
  from mmdet.structures.bbox import BaseBoxes
label_desc: Use image node_id 16 for calling a global function with example usage: cat_boxes(data_list, dim) and returns: data_list, torch