code: def tf_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_{}_wx".format(save_prefix, steps)
      # TODO
      model.save_weights(save_path)
  
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 6 for calling a global function with example usage: tf_save(model, save_dir, save_prefix, steps) without return types