code: def load_checkpoint(args):
      try:
          return torch.load(args.resume)
      except RuntimeError:
          raise RuntimeError(
              f"Fail to load checkpoint at {args.resume}"
          )
  
imports: import math
  import os
  import random
  import sys
  import time
  import warnings
  import numpy
  import numpy
  import shutil
  import logging
  import torch
  import torchvision.transforms
  import torchvision.datasets
  import torch.nn
label_desc: Use image node_id 21 for calling a global function with example usage: load_checkpoint(args) and returns: torch