code: def uncrop_boxes_xyxy(
      boxes: paddle.Tensor, crop_box: List[int]
  ) -> paddle.Tensor:
      x0, y0, _, _ = crop_box
      offset = paddle.to_tensor([[x0, y0, x0, y0]])
      # Check if boxes has a channel dimension
      if len(boxes.shape) == 3:
          offset = offset.unsqueeze(1)
  
      return boxes + offset
  
imports: import numpy
  import paddle
  import math
  from copy import deepcopy
  from itertools import product
  from typing import Any, Dict, Generator, ItemsView, List, Tuple
label_desc: Use image node_id 11 for calling a global function with example usage: uncrop_boxes_xyxy(boxes, crop_box) and returns: unknown