diff options
author | A. Unique TensorFlower <gardener@tensorflow.org> | 2018-09-17 13:24:29 -0700 |
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committer | TensorFlower Gardener <gardener@tensorflow.org> | 2018-09-17 13:34:57 -0700 |
commit | a768624f1d0ae3629caf5b9784b4b6911b881c18 (patch) | |
tree | f7581648c47b4ad95d10099f4485e5f41463f767 /tensorflow/contrib/losses | |
parent | d7b4bf68dc80f1abf90bd6b857f079157028a861 (diff) |
Move from deprecated self.test_session() to self.cached_session().
self.test_session() has been deprecated in 9962eb5e84b15e309410071b06c2ed2d6148ed44 as its name confuses readers of the test. Moving to cached_session() instead which is more explicit about:
* the fact that the session may be reused.
* the session is not closed even when doing a "with self.test_session()" statement.
PiperOrigin-RevId: 213326581
Diffstat (limited to 'tensorflow/contrib/losses')
-rw-r--r-- | tensorflow/contrib/losses/python/metric_learning/metric_loss_ops_test.py | 16 |
1 files changed, 8 insertions, 8 deletions
diff --git a/tensorflow/contrib/losses/python/metric_learning/metric_loss_ops_test.py b/tensorflow/contrib/losses/python/metric_learning/metric_loss_ops_test.py index 4ec539ab42..9c389144ff 100644 --- a/tensorflow/contrib/losses/python/metric_learning/metric_loss_ops_test.py +++ b/tensorflow/contrib/losses/python/metric_learning/metric_loss_ops_test.py @@ -61,7 +61,7 @@ def pairwise_distance_np(feature, squared=False): class ContrastiveLossTest(test.TestCase): def testContrastive(self): - with self.test_session(): + with self.cached_session(): num_data = 10 feat_dim = 6 margin = 1.0 @@ -90,7 +90,7 @@ class ContrastiveLossTest(test.TestCase): class TripletSemiHardLossTest(test.TestCase): def testTripletSemiHard(self): - with self.test_session(): + with self.cached_session(): num_data = 10 feat_dim = 6 margin = 1.0 @@ -146,7 +146,7 @@ class TripletSemiHardLossTest(test.TestCase): class LiftedStructLossTest(test.TestCase): def testLiftedStruct(self): - with self.test_session(): + with self.cached_session(): num_data = 10 feat_dim = 6 margin = 1.0 @@ -217,7 +217,7 @@ def convert_to_list_of_sparse_tensor(np_matrix): class NpairsLossTest(test.TestCase): def testNpairs(self): - with self.test_session(): + with self.cached_session(): num_data = 15 feat_dim = 6 num_classes = 5 @@ -261,7 +261,7 @@ class NpairsLossTest(test.TestCase): class NpairsLossMultiLabelTest(test.TestCase): def testNpairsMultiLabelLossWithSingleLabelEqualsNpairsLoss(self): - with self.test_session(): + with self.cached_session(): num_data = 15 feat_dim = 6 reg_lambda = 0.02 @@ -290,7 +290,7 @@ class NpairsLossMultiLabelTest(test.TestCase): self.assertAllClose(loss_npairs, loss_npairs_multilabel) def testNpairsMultiLabel(self): - with self.test_session(): + with self.cached_session(): num_data = 15 feat_dim = 6 num_classes = 10 @@ -527,7 +527,7 @@ class ClusterLossTest(test.TestCase): def testClusteringLossPAMOff(self): if not HAS_SKLEARN: return - with self.test_session(): + with self.cached_session(): margin_multiplier = 10.0 embeddings, labels = self._genClusters(n_samples=128, n_clusters=64) @@ -544,7 +544,7 @@ class ClusterLossTest(test.TestCase): def testClusteringLossPAMOn(self): if not HAS_SKLEARN: return - with self.test_session(): + with self.cached_session(): margin_multiplier = 10.0 embeddings, labels = self._genClusters(n_samples=128, n_clusters=64) |