Fix lint issues introduced by my pull from GitHub.

Change: 149985352

1 files changed, 4 insertions, 3 deletions

diff --git a/tensorflow/python/training/monitored_session.py b/tensorflow/python/training/monitored_session.py
index fa5d2121ec..b9bf32ef7b 100644
--- a/tensorflow/python/training/monitored_session.py
+++ b/tensorflow/python/training/monitored_session.py
@@ -67,8 +67,8 @@ class Scaffold(object):
   The following pieces are directly accessible as attributes of the `Scaffold`
   object:
 
-  * `saver`: A `tf.train.Saver` object taking care of saving the variables.  Picked
-    from and stored into the `SAVERS` collection in the graph by default.
+  * `saver`: A `tf.train.Saver` object taking care of saving the variables.
+    Picked from and stored into the `SAVERS` collection in the graph by default.
   * `init_op`: An op to run to initialize the variables.  Picked from and
     stored into the `INIT_OP` collection in the graph by default.
   * `ready_op`: An op to verify that the variables are initialized.  Picked
@@ -124,7 +124,8 @@ class Scaffold(object):
       local_init_op: Optional op to initialize local variables.
       summary_op: Optional op to gather all summaries.  Must return a scalar
         string tensor containing a serialized `Summary` proto.
-      saver: Optional `tf.train.Saver` object to use to save and restore variables.
+      saver: Optional `tf.train.Saver` object to use to save and restore
+        variables.
     """
 
     # NOTE(touts): modifying the init function to be passed the scaffold is a