diff options
Diffstat (limited to 'tensorflow/python/training/moving_averages_test.py')
| -rw-r--r-- | tensorflow/python/training/moving_averages_test.py | 30 |
1 files changed, 15 insertions, 15 deletions
diff --git a/tensorflow/python/training/moving_averages_test.py b/tensorflow/python/training/moving_averages_test.py index fdb8d795c3..93991d0e14 100644 --- a/tensorflow/python/training/moving_averages_test.py +++ b/tensorflow/python/training/moving_averages_test.py @@ -35,7 +35,7 @@ from tensorflow.python.training import saver as saver_lib class MovingAveragesTest(test.TestCase): def testAssignMovingAverageWithoutZeroDebias(self): - with self.test_session(): + with self.cached_session(): var = variables.Variable([10.0, 11.0]) val = constant_op.constant([1.0, 2.0], dtypes.float32) decay = 0.25 @@ -49,7 +49,7 @@ class MovingAveragesTest(test.TestCase): var.eval()) def testAssignMovingAverage(self): - with self.test_session(): + with self.cached_session(): var = variables.Variable([0.0, 0.0]) val = constant_op.constant([1.0, 2.0], dtypes.float32) decay = 0.25 @@ -86,7 +86,7 @@ class MovingAveragesTest(test.TestCase): moving_averages.assign_moving_average(var, 0.0, 0.99) def testWeightedMovingAverage(self): - with self.test_session() as sess: + with self.cached_session() as sess: decay = 0.5 weight = array_ops.placeholder(dtypes.float32, []) val = array_ops.placeholder(dtypes.float32, []) @@ -187,53 +187,53 @@ class ExponentialMovingAverageTest(test.TestCase): self.assertAllClose(expected, avg2.eval()) def testAverageVariablesNoNumUpdates_Scalar(self): - with self.test_session(): + with self.cached_session(): ema = moving_averages.ExponentialMovingAverage(0.25) self._CheckDecay(ema, actual_decay=0.25, dim=1) def testAverageVariablesNoNumUpdates_Scalar_Debias(self): - with self.test_session(): + with self.cached_session(): ema = moving_averages.ExponentialMovingAverage(0.25, zero_debias=True) self._CheckDecay(ema, actual_decay=0.25, dim=1) def testAverageVariablesNoNumUpdates_Vector(self): - with self.test_session(): + with self.cached_session(): ema = moving_averages.ExponentialMovingAverage(0.25) self._CheckDecay(ema, actual_decay=0.25, dim=5) def testAverageVariablesNoNumUpdates_Vector_Debias(self): - with self.test_session(): + with self.cached_session(): ema = moving_averages.ExponentialMovingAverage(0.25, zero_debias=True) self._CheckDecay(ema, actual_decay=0.25, dim=5) def testAverageVariablesNumUpdates_Scalar(self): - with self.test_session(): + with self.cached_session(): # With num_updates 1, the decay applied is 0.1818 ema = moving_averages.ExponentialMovingAverage(0.25, num_updates=1) self._CheckDecay(ema, actual_decay=0.181818, dim=1) def testAverageVariablesNumUpdates_Scalar_Debias(self): - with self.test_session(): + with self.cached_session(): # With num_updates 1, the decay applied is 0.1818 ema = moving_averages.ExponentialMovingAverage( 0.25, num_updates=1, zero_debias=True) self._CheckDecay(ema, actual_decay=0.181818, dim=1) def testAverageVariablesNumUpdates_Vector(self): - with self.test_session(): + with self.cached_session(): # With num_updates 1, the decay applied is 0.1818 ema = moving_averages.ExponentialMovingAverage(0.25, num_updates=1) self._CheckDecay(ema, actual_decay=0.181818, dim=5) def testAverageVariablesNumUpdates_Vector_Debias(self): - with self.test_session(): + with self.cached_session(): # With num_updates 1, the decay applied is 0.1818 ema = moving_averages.ExponentialMovingAverage( 0.25, num_updates=1, zero_debias=True) self._CheckDecay(ema, actual_decay=0.181818, dim=5) def testAverageVariablesWithControlDeps(self): - with self.test_session() as sess: + with self.cached_session() as sess: v0 = variables.Variable(0, name="v0") add_to_v0 = v0.assign_add(1) v1 = variables.Variable([10.0], name="v1") @@ -276,7 +276,7 @@ class ExponentialMovingAverageTest(test.TestCase): self.assertAllEqual(self.evaluate(ema.average(v1)), 3.5) def averageVariablesNamesHelper(self, zero_debias): - with self.test_session(): + with self.cached_session(): v0 = variables.Variable(10.0, name="v0") v1 = variables.Variable(30.0, name="v1") # Add a non-trainable variable. @@ -320,7 +320,7 @@ class ExponentialMovingAverageTest(test.TestCase): def averageVariablesNamesRespectScopeHelper(self, zero_debias): # See discussion on #2740. - with self.test_session(): + with self.cached_session(): with variable_scope.variable_scope("scope1"): v0 = variables.Variable(10.0, name="v0") v1 = variables.Variable(30.0, name="v1") @@ -367,7 +367,7 @@ class ExponentialMovingAverageTest(test.TestCase): self.averageVariablesNamesRespectScopeHelper(zero_debias=False) def testSubsetAverageVariablesNames(self): - with self.test_session(): + with self.cached_session(): v0 = variables.Variable(10.0, name="v0") v1 = variables.Variable(30.0, name="v1") # Add a non-trainable variable. |