diff options
| author |  Illia Polosukhin <ipolosukhin@google.com> | 2016-11-03 14:46:06 -0800 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2016-11-03 16:09:01 -0700 |
| commit | cbd3cacfb73bbea912b9d01c2540187684f751a7 (patch) | |
| tree | c2c22af2d05583491b1370dcabdb2e83cb61e2ee /tensorflow/contrib/factorization/python | |
| parent | 703fce57eaae725c4ae4b0bd23629c4f04a9de16 (diff) | |
Replace usages initialize_all_variables -> global_variables_initializer
Change: 138128703
Diffstat (limited to 'tensorflow/contrib/factorization/python')
| -rw-r--r-- | tensorflow/contrib/factorization/python/ops/gmm_ops_test.py | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/tensorflow/contrib/factorization/python/ops/gmm_ops_test.py b/tensorflow/contrib/factorization/python/ops/gmm_ops_test.py index 05bcc0da83..f9d1538309 100644 --- a/tensorflow/contrib/factorization/python/ops/gmm_ops_test.py +++ b/tensorflow/contrib/factorization/python/ops/gmm_ops_test.py @@ -102,7 +102,7 @@ class GmmOpsTest(tf.test.TestCase): op_diag = gmm_ops._covariance( tf.constant(data.T, dtype=tf.float32), True) - tf.initialize_all_variables().run() + tf.global_variables_initializer().run() tf_cov = sess.run(op) np.testing.assert_array_almost_equal(np_cov, tf_cov) logging.info('Tensorflow took %f', time.time() - start_time) @@ -121,7 +121,7 @@ class GmmOpsTest(tf.test.TestCase): _, assignments, _, training_op = tf.contrib.factorization.gmm( data, 'random', num_classes, random_seed=self.seed) - tf.initialize_all_variables().run() + tf.global_variables_initializer().run() for _ in xrange(self.iterations): sess.run(training_op) assignments = sess.run(assignments) @@ -140,7 +140,7 @@ class GmmOpsTest(tf.test.TestCase): [[3.0, 3.0], [0.0, 0.0]], 'w') training_ops = gmm_tool.training_ops() - tf.initialize_all_variables().run() + tf.global_variables_initializer().run() for _ in xrange(self.iterations): sess.run(training_ops) @@ -158,7 +158,7 @@ class GmmOpsTest(tf.test.TestCase): [[3.0, 3.0], [0.0, 0.0]], 'mc') training_ops = gmm_tool.training_ops() - tf.initialize_all_variables().run() + tf.global_variables_initializer().run() for _ in xrange(self.iterations): sess.run(training_ops) alphas = sess.run(gmm_tool.alphas()) @@ -178,7 +178,7 @@ class GmmOpsTest(tf.test.TestCase): gmm_tool = tf.contrib.factorization.GmmAlgorithm( [data], num_classes, [[-1.0, -1.0], [1.0, 1.0]], 'c') training_ops = gmm_tool.training_ops() - tf.initialize_all_variables().run() + tf.global_variables_initializer().run() for _ in xrange(self.iterations): sess.run(training_ops) alphas = sess.run(gmm_tool.alphas()) |