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-rw-r--r--tensorflow/contrib/training/python/training/evaluation.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/contrib/training/python/training/evaluation.py b/tensorflow/contrib/training/python/training/evaluation.py
index a895d90b8e..24b733dd29 100644
--- a/tensorflow/contrib/training/python/training/evaluation.py
+++ b/tensorflow/contrib/training/python/training/evaluation.py
@@ -226,7 +226,7 @@ def checkpoints_iterator(checkpoint_dir,
This behavior gives control to callers on what to do if checkpoints do not
come fast enough or stop being generated. For example, if callers have a way
- to detect that the training has stopped and know that no new checkpoints
+ to detect that the training has stopped and know that no new new checkpoints
will be generated, they can provide a `timeout_fn` that returns `True` when
the training has stopped. If they know that the training is still going on
they return `False` instead.