code: def main(unused_argv):
      # Get the data.
      data_sets = mnist.read_data_sets(
          FLAGS.directory,
          dtype=tf.uint8,
          reshape=False,
          validation_size=FLAGS.validation_size,
      )
  
      # Convert to Examples and write the result to TFRecords.
      convert_to(data_sets.train, "train")
      convert_to(data_sets.validation, "validation")
      convert_to(data_sets.test, "test")
  
file_path: attributionpriors/attributionpriors/mnist/mnist_download.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import argparse
  import os
  import sys
  import tensorflow
  from tensorflow.contrib.learn.python.learn.datasets import mnist
label_desc: Use image node_id 4 for calling a global function with example usage: main(unused_argv) without return types