Creating convert_to_tfrecord function

Changing file to follow examples/how_tos/reading_data/convert_to_records.py

tutorials/image/cifar10_estimator/generate_cifar10_tfrecords.py

@@ -58,16 +58,9 @@ def read_pickle_from_file(filename):
   return data_dict
 
 
-def main(argv):
-  del argv  # Unused.
-
-  file_names = _get_file_names()
-  for file_name in file_names:
-    input_file = os.path.join(FLAGS.input_dir, file_name)
-    output_file = os.path.join(FLAGS.output_dir, file_name + '.tfrecords')
-
+def convert_to_tfrecord(input_file, name):
+  """Converts a file to tfrecords."""
   print('Generating %s' % output_file)
-
   record_writer = tf.python_io.TFRecordWriter(output_file)
 
   data_dict = read_pickle_from_file(input_file)
@@ -84,6 +77,16 @@ def main(argv):
     record_writer.write(example.SerializeToString())
   record_writer.close()
 
+def main(argv):
+  del argv  # Unused.
+
+  file_names = _get_file_names()
+  for file_name in file_names:
+    input_file = os.path.join(FLAGS.input_dir, file_name)
+    output_file = os.path.join(FLAGS.output_dir, file_name + '.tfrecords')
+    # Convert to Examples and write the result to TFRecords.
+    convert_to_tfrecord(input_file, output_file)
+
   print('Done!')