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| author |  Yifei Feng <yifeif@google.com> | 2017-11-21 23:32:43 -0800 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2017-11-21 23:36:22 -0800 |
| commit | c6d603f02e1a98f871912cda6716cdcbed6b439e (patch) | |
| tree | 4658788770c03d8a5bfd48eee59c247559344f08 /tensorflow/contrib/slim | |
| parent | f93c48dc061d23495a4425fcad17d55159cb02b1 (diff) | |
Merge changes from github.
PiperOrigin-RevId: 176615107
Diffstat (limited to 'tensorflow/contrib/slim')
| -rw-r--r-- | tensorflow/contrib/slim/README.md | 2 | ||||
| -rw-r--r-- | tensorflow/contrib/slim/python/slim/nets/resnet_v1_test.py | 2 |
2 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/contrib/slim/README.md b/tensorflow/contrib/slim/README.md index 0bfd0801d5..f7a85557ca 100644 --- a/tensorflow/contrib/slim/README.md +++ b/tensorflow/contrib/slim/README.md @@ -237,7 +237,7 @@ One way to reduce this code duplication would be via a `for` loop: ```python net = ... for i in range(3): - net = slim.conv2d(net, 256, [3, 3], scope='conv3_' % (i+1)) + net = slim.conv2d(net, 256, [3, 3], scope='conv3_%d' % (i+1)) net = slim.max_pool2d(net, [2, 2], scope='pool2') ``` diff --git a/tensorflow/contrib/slim/python/slim/nets/resnet_v1_test.py b/tensorflow/contrib/slim/python/slim/nets/resnet_v1_test.py index b4fd2580c2..576444214d 100644 --- a/tensorflow/contrib/slim/python/slim/nets/resnet_v1_test.py +++ b/tensorflow/contrib/slim/python/slim/nets/resnet_v1_test.py @@ -386,7 +386,7 @@ class ResnetCompleteNetworkTest(test.TestCase): inputs, None, is_training=False, global_pool=False) sess.run(variables.global_variables_initializer()) self.assertAllClose( - output.eval(), expected.eval(), atol=1e-4, rtol=1e-4) + output.eval(), expected.eval(), atol=2e-4, rtol=1e-4) def testUnknownBatchSize(self): batch = 2 |