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-rw-r--r--tensorflow/python/eager/tape_test.py4
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/python/eager/tape_test.py b/tensorflow/python/eager/tape_test.py
index 4326d5efa3..acd0e569f1 100644
--- a/tensorflow/python/eager/tape_test.py
+++ b/tensorflow/python/eager/tape_test.py
@@ -72,7 +72,7 @@ class TapeTest(test.TestCase):
a = constant_op.constant([[1., 0.], [0., 1.]])
b = constant_op.constant([[1., 2.], [3., 4.]])
da, db = backprop.gradients_function(fn, [0, 1])(a, b)
- with context.graph_mode(), self.test_session():
+ with context.graph_mode(), self.cached_session():
tf_a = constant_op.constant([[1, 0], [0, 1]], dtype=dtypes.float32)
tf_b = constant_op.constant([[1, 2], [3, 4]], dtype=dtypes.float32)
tf_c = tf_a + tf_b
@@ -135,7 +135,7 @@ class TapeTest(test.TestCase):
a = constant_op.constant([[1., 0.], [0., 1.]])
b = constant_op.constant([[1., 2.], [3., 4.]])
da, db = backprop.gradients_function(fn, [0, 1])(a, b)
- with context.graph_mode(), self.test_session():
+ with context.graph_mode(), self.cached_session():
tf_a = constant_op.constant([[1, 0], [0, 1]], dtype=dtypes.float32)
tf_b = constant_op.constant([[1, 2], [3, 4]], dtype=dtypes.float32)
tf_mm = math_ops.matmul(tf_a, tf_b)