code: def process_checkpoint(in_file, out_file):
      checkpoint = torch.load(in_file, map_location="cpu")
      # remove optimizer for smaller file size
      if "optimizer" in checkpoint:
          del checkpoint["optimizer"]
      # if it is necessary to remove some sensitive data in checkpoint['meta'],
      # add the code here.
      torch.save(checkpoint, out_file)
      sha = subprocess.check_output(["sha256sum", out_file]).decode()
      if out_file.endswith(".pth"):
          out_file_name = out_file[:-4]
      else:
          out_file_name = out_file
      final_file = out_file_name + f"-{sha[:8]}.pth"
      subprocess.Popen(["mv", out_file, final_file])
  
imports: import argparse
  import subprocess
  import torch
label_desc: Use image node_id 2 for calling a global function with example usage: process_checkpoint(in_file, out_file) without return types