code: def box_cxcywh_to_xyxy(x: Tensor):
      x_c, y_c, w, h = x.unbind(-1)
      b = [
          (x_c - 0.5 * w),
          (y_c - 0.5 * h),
          (x_c + 0.5 * w),
          (y_c + 0.5 * h),
      ]
      return torch.stack(b, dim=-1)
  
imports: import torch
  from torch import Tensor
  from torchvision.ops.boxes import box_area
label_desc: Use image node_id 1 for calling a global function with example usage: box_cxcywh_to_xyxy(x) and returns: torch