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| author |  Dandelion Mané <dandelion@google.com> | 2017-03-10 14:43:23 -0800 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2017-03-10 15:18:15 -0800 |
| commit | 0386a01ad3beb28364599d82199be1c0837b3fa9 (patch) | |
| tree | 3a1d2ef947a7bf37286efc0e8ff760e0401ab319 /tensorflow/python/training/monitored_session.py | |
| parent | e73ceaebb209a1e577e7240fba41c692c89143d0 (diff) | |
Merge changes from github.
Change: 149800363
Diffstat (limited to 'tensorflow/python/training/monitored_session.py')
| -rw-r--r-- | tensorflow/python/training/monitored_session.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/python/training/monitored_session.py b/tensorflow/python/training/monitored_session.py index 8c4dc0cad8..fa5d2121ec 100644 --- a/tensorflow/python/training/monitored_session.py +++ b/tensorflow/python/training/monitored_session.py @@ -67,7 +67,7 @@ class Scaffold(object): The following pieces are directly accessible as attributes of the `Scaffold` object: - * `saver`: A `tf.Saver` object taking care of saving the variables. Picked + * `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. @@ -124,7 +124,7 @@ 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.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 |