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-rw-r--r--tensorflow/python/training/ftrl_test.py4
-rw-r--r--tensorflow/python/training/learning_rate_decay_v2_test.py2
2 files changed, 3 insertions, 3 deletions
diff --git a/tensorflow/python/training/ftrl_test.py b/tensorflow/python/training/ftrl_test.py
index 09d6fe36d3..15c50bc878 100644
--- a/tensorflow/python/training/ftrl_test.py
+++ b/tensorflow/python/training/ftrl_test.py
@@ -218,7 +218,7 @@ class FtrlOptimizerTest(test.TestCase):
def testFtrlWithL1_L2_L2ShrinkageSparse(self):
"""Tests the new FTRL op with support for l2 shrinkage on sparse grads."""
for dtype in [dtypes.half, dtypes.float32]:
- with self.test_session() as sess:
+ with self.cached_session() as sess:
var0 = variables.Variable([[1.0], [2.0]], dtype=dtype)
var1 = variables.Variable([[4.0], [3.0]], dtype=dtype)
grads0 = ops.IndexedSlices(
@@ -252,7 +252,7 @@ class FtrlOptimizerTest(test.TestCase):
def testFtrlWithL2ShrinkageDoesNotChangeLrSchedule(self):
"""Verifies that l2 shrinkage in FTRL does not change lr schedule."""
for dtype in [dtypes.half, dtypes.float32]:
- with self.test_session() as sess:
+ with self.cached_session() as sess:
var0 = variables.Variable([1.0, 2.0], dtype=dtype)
var1 = variables.Variable([1.0, 2.0], dtype=dtype)
grads0 = constant_op.constant([0.1, 0.2], dtype=dtype)
diff --git a/tensorflow/python/training/learning_rate_decay_v2_test.py b/tensorflow/python/training/learning_rate_decay_v2_test.py
index 0f2d60dafc..b2ac93f06f 100644
--- a/tensorflow/python/training/learning_rate_decay_v2_test.py
+++ b/tensorflow/python/training/learning_rate_decay_v2_test.py
@@ -62,7 +62,7 @@ class LRDecayTestV2(test_util.TensorFlowTestCase):
self.assertAllClose(self.evaluate(decayed_lr()), expected, 1e-6)
def testVariables(self):
- with self.test_session():
+ with self.cached_session():
step = variables.Variable(1)
assign_1 = step.assign(1)
assign_2 = step.assign(2)