1 files changed, 4 insertions, 4 deletions
diff --git a/tensorflow/python/kernel_tests/dense_update_ops_no_tsan_test.py b/tensorflow/python/kernel_tests/dense_update_ops_no_tsan_test.py
index d33bf1ba12..affbaf159d 100644
--- a/tensorflow/python/kernel_tests/dense_update_ops_no_tsan_test.py
+++ b/tensorflow/python/kernel_tests/dense_update_ops_no_tsan_test.py
@@ -33,7 +33,7 @@ class AssignOpTest(test.TestCase):
   #   contain benign and deliberate data races when multiple threads update
   #   the same parameters without a lock.
   def testParallelUpdateWithoutLocking(self):
-    with self.test_session() as sess:
+    with self.cached_session() as sess:
       ones_t = array_ops.fill([1024, 1024], 1.0)
       p = variables.Variable(array_ops.zeros([1024, 1024]))
       adds = [
@@ -60,7 +60,7 @@ class AssignOpTest(test.TestCase):
       self.assertTrue((vals <= ones * 20).all())
 
   def testParallelAssignWithoutLocking(self):
-    with self.test_session() as sess:
+    with self.cached_session() as sess:
       ones_t = array_ops.fill([1024, 1024], float(1))
       p = variables.Variable(array_ops.zeros([1024, 1024]))
       assigns = [
@@ -92,7 +92,7 @@ class AssignOpTest(test.TestCase):
   # returning the output tensors. This issue will be resolved with the new
   # resource variables.
   def testParallelUpdateWithLocking(self):
-    with self.test_session() as sess:
+    with self.cached_session() as sess:
       zeros_t = array_ops.fill([1024, 1024], 0.0)
       ones_t = array_ops.fill([1024, 1024], 1.0)
       p = variables.Variable(zeros_t)
@@ -119,7 +119,7 @@ class AssignOpTest(test.TestCase):
       self.assertAllEqual(vals, ones * 20)
 
   def testParallelAssignWithLocking(self):
-    with self.test_session() as sess:
+    with self.cached_session() as sess:
       zeros_t = array_ops.fill([1024, 1024], 0.0)
       ones_t = array_ops.fill([1024, 1024], 1.0)
       p = variables.Variable(zeros_t)