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authorGravatar Michael Case <mikecase@google.com>2018-02-07 14:36:00 -0800
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2018-02-07 14:39:49 -0800
commitd90054e7c0f41f4bab81df0548577a73b939a87a (patch)
treea15aea686a9d3f305e316d2a6ada0859ad8170d1 /tensorflow/python/estimator/canned/dnn_testing_utils.py
parent8461760f9f6cde8ed97507484d2a879140141032 (diff)
Merge changes from github.
PiperOrigin-RevId: 184897758
Diffstat (limited to 'tensorflow/python/estimator/canned/dnn_testing_utils.py')
-rw-r--r--tensorflow/python/estimator/canned/dnn_testing_utils.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/python/estimator/canned/dnn_testing_utils.py b/tensorflow/python/estimator/canned/dnn_testing_utils.py
index 2bdec69303..706575985f 100644
--- a/tensorflow/python/estimator/canned/dnn_testing_utils.py
+++ b/tensorflow/python/estimator/canned/dnn_testing_utils.py
@@ -877,7 +877,7 @@ class BaseDNNWarmStartingTest(object):
# Create a second DNNClassifier, warm-started from the first. Use a
# learning_rate = 0.0 optimizer to check values (use SGD so we don't have
- # accumulator values that change). Use a a new FeatureColumn with a
+ # accumulator values that change). Use a new FeatureColumn with a
# different vocabulary for occupation.
new_vocab_list = ['doctor', 'consultant', 'engineer']
new_vocab_file = os.path.join(self._ckpt_and_vocab_dir,