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authorGravatar Akshay Modi <nareshmodi@google.com>2018-06-18 09:57:19 -0700
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2018-06-18 09:59:59 -0700
commite80732c9895d1283af9b98d6277ad1a1015e2e9a (patch)
tree14895657394f9cdfed8435460e37fe89a45ba599 /tensorflow/contrib/opt
parent8ecf506fb8464dd273ce59f512f5e20d37dd5cfd (diff)
Merge changes from github.
PiperOrigin-RevId: 201011811
Diffstat (limited to 'tensorflow/contrib/opt')
-rw-r--r--tensorflow/contrib/opt/python/training/adamax_test.py6
-rw-r--r--tensorflow/contrib/opt/python/training/model_average_optimizer.py2
2 files changed, 5 insertions, 3 deletions
diff --git a/tensorflow/contrib/opt/python/training/adamax_test.py b/tensorflow/contrib/opt/python/training/adamax_test.py
index 21bf3f5313..915e6504e1 100644
--- a/tensorflow/contrib/opt/python/training/adamax_test.py
+++ b/tensorflow/contrib/opt/python/training/adamax_test.py
@@ -224,8 +224,10 @@ class AdaMaxOptimizerTest(test.TestCase):
var1_np, m1, v1 = adamax_update_numpy(var1_np, grads1_np, t, m1, v1)
# Validate updated params
- self.assertAllCloseAccordingToType(var0_np, self.evaluate(var0))
- self.assertAllCloseAccordingToType(var1_np, self.evaluate(var1))
+ self.assertAllCloseAccordingToType(var0_np, self.evaluate(var0),
+ rtol=1e-2)
+ self.assertAllCloseAccordingToType(var1_np, self.evaluate(var1),
+ rtol=1e-2)
if use_resource:
self.assertEqual("var0_%d/AdaMax:0" % (i,),
opt.get_slot(var=var0, name="m").name)
diff --git a/tensorflow/contrib/opt/python/training/model_average_optimizer.py b/tensorflow/contrib/opt/python/training/model_average_optimizer.py
index a7c97a1da2..b6b10e500b 100644
--- a/tensorflow/contrib/opt/python/training/model_average_optimizer.py
+++ b/tensorflow/contrib/opt/python/training/model_average_optimizer.py
@@ -62,7 +62,7 @@ class ModelAverageCustomGetter(object):
"""
def __init__(self, worker_device):
- """Create a new `ElasticAverageCustomGetter`.
+ """Create a new `ModelAverageCustomGetter`.
Args:
worker_device: String. Name of the `worker` job.