code: def box_cxcywh_to_xyxy(x):
      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: from collections import OrderedDict
  import torch
  from torch import nn
  from torch.jit.annotations import Dict
  from torch.nn import functional
label_desc: Use image node_id 10 for calling a global function with example usage: box_cxcywh_to_xyxy(x) and returns: torch