small change to format code (tensorflow#9223)

tensorflow/examples/tutorials/mnist/mnist_with_summaries.py

@@ -135,7 +135,8 @@ def nn_layer(input_tensor, input_dim, output_dim, layer_name, act=tf.nn.relu):
       accuracy = tf.reduce_mean(tf.cast(correct_prediction, tf.float32))
   tf.summary.scalar('accuracy', accuracy)
 
-  # Merge all the summaries and write them out to /tmp/tensorflow/mnist/logs/mnist_with_summaries (by default)
+  # Merge all the summaries and write them out to
+  # /tmp/tensorflow/mnist/logs/mnist_with_summaries (by default)
   merged = tf.summary.merge_all()
   train_writer = tf.summary.FileWriter(FLAGS.log_dir + '/train', sess.graph)
   test_writer = tf.summary.FileWriter(FLAGS.log_dir + '/test')
@@ -196,9 +197,11 @@ def main(_):
                       help='Initial learning rate')
   parser.add_argument('--dropout', type=float, default=0.9,
                       help='Keep probability for training dropout.')
-  parser.add_argument('--data_dir', type=str, default='/tmp/tensorflow/mnist/input_data',
+  parser.add_argument('--data_dir', type=str,
+                      default='/tmp/tensorflow/mnist/input_data',
                       help='Directory for storing input data')
-  parser.add_argument('--log_dir', type=str, default='/tmp/tensorflow/mnist/logs/mnist_with_summaries',
+  parser.add_argument('--log_dir', type=str,
+                      default='/tmp/tensorflow/mnist/logs/mnist_with_summaries',
                       help='Summaries log directory')
   FLAGS, unparsed = parser.parse_known_args()
   tf.app.run(main=main, argv=[sys.argv[0]] + unparsed)