class_docstr: This structure stores a list of rotated boxes as a Nx5 torch.Tensor.
  It supports some common methods about boxes
  (`area`, `clip`, `nonempty`, etc),
  and also behaves like a Tensor
  (support indexing, `to(device)`, `.device`, and iteration over all boxes)
docstr: Clone the RotatedBoxes.
  
  Returns:
      RotatedBoxes
docstr_tok: ["Clone","the","RotatedBoxes",".","Returns",":","RotatedBoxes"]
code: def clone(self) -> "RotatedBoxes":
      """
      Clone the RotatedBoxes.
  
      Returns:
          RotatedBoxes
      """
      return RotatedBoxes(self.tensor.clone())
  
imports: import math
  from typing import List, Tuple
  import torch
  from detectron2.layers.rotated_boxes import pairwise_iou_rotated
  from .boxes import Boxes
label_desc: Use image node_id 2 for calling the RotatedBoxes obj's underlying member method code with example usage: obj.clone() and returns: RotatedBoxes