code: def maybe_save_model(step):
      epoch_step = mnist.train.num_examples / FLAGS.batch_size
      if step != 0 and step % epoch_step == 0:
          save_model()
  
imports: import argparse
  import json
  import tensorflow
  from tensorflow.examples.tutorials.mnist import input_data
label_desc: Use image node_id 17 for calling a global function with example usage: maybe_save_model(step) without return types