code: def torch_save(model, save_dir, save_prefix, steps=0):
      if not os.path.isdir(save_dir):
          os.makedirs(save_dir)
      save_prefix = os.path.join(save_dir, save_prefix)
      save_path = "{}_steps_{}.pkl".format(save_prefix, steps)
      torch.save(model.state_dict(), open(save_path, "wb"))
  
file_path: textflint/textflint/input/model/test_model/model_helper.py
imports: import os
  import json
  import csv
  import random
  import numpy
  import torch
label_desc: Use image node_id 5 for calling a global function with example usage: torch_save(model, save_dir, save_prefix, steps) without return types