Replace unnecessary `()` in `run_in_graph_and_eager_modes()`.

PiperOrigin-RevId: 201652888

7 files changed, 21 insertions, 21 deletions

diff --git a/tensorflow/contrib/distributions/python/kernel_tests/bijectors/fill_triangular_test.py b/tensorflow/contrib/distributions/python/kernel_tests/bijectors/fill_triangular_test.py
index caeaf2a0c6..3530e142e4 100644
--- a/tensorflow/contrib/distributions/python/kernel_tests/bijectors/fill_triangular_test.py
+++ b/tensorflow/contrib/distributions/python/kernel_tests/bijectors/fill_triangular_test.py
@@ -31,7 +31,7 @@ from tensorflow.python.platform import test
 class FillTriangularBijectorTest(test.TestCase):
   """Tests the correctness of the FillTriangular bijector."""
 
-  @test_util.run_in_graph_and_eager_modes()
+  @test_util.run_in_graph_and_eager_modes
   def testBijector(self):
     x = np.float32(np.array([1., 2., 3.]))
     y = np.float32(np.array([[3., 0.],
@@ -51,7 +51,7 @@ class FillTriangularBijectorTest(test.TestCase):
     ildj = self.evaluate(b.inverse_log_det_jacobian(y, event_ndims=2))
     self.assertAllClose(ildj, 0.)
 
-  @test_util.run_in_graph_and_eager_modes()
+  @test_util.run_in_graph_and_eager_modes
   def testShape(self):
     x_shape = tensor_shape.TensorShape([5, 4, 6])
     y_shape = tensor_shape.TensorShape([5, 4, 3, 3])
@@ -76,7 +76,7 @@ class FillTriangularBijectorTest(test.TestCase):
         b.inverse_event_shape_tensor(y_shape.as_list()))
     self.assertAllEqual(x_shape_tensor, x_shape.as_list())
 
-  @test_util.run_in_graph_and_eager_modes()
+  @test_util.run_in_graph_and_eager_modes
   def testShapeError(self):
 
     b = bijectors.FillTriangular(validate_args=True)
diff --git a/tensorflow/contrib/distributions/python/kernel_tests/bijectors/matrix_inverse_tril_test.py b/tensorflow/contrib/distributions/python/kernel_tests/bijectors/matrix_inverse_tril_test.py
index 1839703557..85d604e34a 100644
--- a/tensorflow/contrib/distributions/python/kernel_tests/bijectors/matrix_inverse_tril_test.py
+++ b/tensorflow/contrib/distributions/python/kernel_tests/bijectors/matrix_inverse_tril_test.py
@@ -29,7 +29,7 @@ from tensorflow.python.platform import test
 class MatrixInverseTriLBijectorTest(test.TestCase):
   """Tests the correctness of the Y = inv(tril) transformation."""
 
-  @test_util.run_in_graph_and_eager_modes()
+  @test_util.run_in_graph_and_eager_modes
   def testComputesCorrectValues(self):
     inv = bijectors.MatrixInverseTriL(validate_args=True)
     self.assertEqual("matrix_inverse_tril", inv.name)
@@ -51,7 +51,7 @@ class MatrixInverseTriLBijectorTest(test.TestCase):
     self.assertNear(expected_fldj_, fldj_, err=1e-3)
     self.assertNear(-expected_fldj_, ildj_, err=1e-3)
 
-  @test_util.run_in_graph_and_eager_modes()
+  @test_util.run_in_graph_and_eager_modes
   def testOneByOneMatrix(self):
     inv = bijectors.MatrixInverseTriL(validate_args=True)
     x_ = np.array([[5.]], dtype=np.float32)
@@ -70,7 +70,7 @@ class MatrixInverseTriLBijectorTest(test.TestCase):
     self.assertNear(expected_fldj_, fldj_, err=1e-3)
     self.assertNear(-expected_fldj_, ildj_, err=1e-3)
 
-  @test_util.run_in_graph_and_eager_modes()
+  @test_util.run_in_graph_and_eager_modes
   def testZeroByZeroMatrix(self):
     inv = bijectors.MatrixInverseTriL(validate_args=True)
     x_ = np.eye(0, dtype=np.float32)
@@ -89,7 +89,7 @@ class MatrixInverseTriLBijectorTest(test.TestCase):
     self.assertNear(expected_fldj_, fldj_, err=1e-3)
     self.assertNear(-expected_fldj_, ildj_, err=1e-3)
 
-  @test_util.run_in_graph_and_eager_modes()
+  @test_util.run_in_graph_and_eager_modes
   def testBatch(self):
     # Test batch computation with input shape (2, 1, 2, 2), i.e. batch shape
     # (2, 1).
@@ -114,7 +114,7 @@ class MatrixInverseTriLBijectorTest(test.TestCase):
     self.assertAllClose(expected_fldj_, fldj_, atol=0., rtol=1e-3)
     self.assertAllClose(-expected_fldj_, ildj_, atol=0., rtol=1e-3)
 
-  @test_util.run_in_graph_and_eager_modes()
+  @test_util.run_in_graph_and_eager_modes
   def testErrorOnInputRankTooLow(self):
     inv = bijectors.MatrixInverseTriL(validate_args=True)
     x_ = np.array([0.1], dtype=np.float32)
@@ -149,7 +149,7 @@ class MatrixInverseTriLBijectorTest(test.TestCase):
   ##                                              square_error_msg):
   ##       inv.inverse_log_det_jacobian(x_, event_ndims=2).eval()
 
-  @test_util.run_in_graph_and_eager_modes()
+  @test_util.run_in_graph_and_eager_modes
   def testErrorOnInputNotLowerTriangular(self):
     inv = bijectors.MatrixInverseTriL(validate_args=True)
     x_ = np.array([[1., 2.],
@@ -169,7 +169,7 @@ class MatrixInverseTriLBijectorTest(test.TestCase):
                                                triangular_error_msg):
         inv.inverse_log_det_jacobian(x_, event_ndims=2).eval()
 
-  @test_util.run_in_graph_and_eager_modes()
+  @test_util.run_in_graph_and_eager_modes
   def testErrorOnInputSingular(self):
     inv = bijectors.MatrixInverseTriL(validate_args=True)
     x_ = np.array([[1., 0.],
diff --git a/tensorflow/contrib/distributions/python/kernel_tests/bijectors/ordered_test.py b/tensorflow/contrib/distributions/python/kernel_tests/bijectors/ordered_test.py
index a5f5219588..cb42331a21 100644
--- a/tensorflow/contrib/distributions/python/kernel_tests/bijectors/ordered_test.py
+++ b/tensorflow/contrib/distributions/python/kernel_tests/bijectors/ordered_test.py
@@ -36,7 +36,7 @@ class OrderedBijectorTest(test.TestCase):
   def setUp(self):
     self._rng = np.random.RandomState(42)
 
-  @test_util.run_in_graph_and_eager_modes()
+  @test_util.run_in_graph_and_eager_modes
   def testBijectorVector(self):
     with self.test_session():
       ordered = Ordered()
@@ -82,7 +82,7 @@ class OrderedBijectorTest(test.TestCase):
           atol=0.,
           rtol=1e-7)
 
-  @test_util.run_in_graph_and_eager_modes()
+  @test_util.run_in_graph_and_eager_modes
   def testShapeGetters(self):
     with self.test_session():
       x = tensor_shape.TensorShape([4])
diff --git a/tensorflow/contrib/distributions/python/kernel_tests/bijectors/scale_tril_test.py b/tensorflow/contrib/distributions/python/kernel_tests/bijectors/scale_tril_test.py
index 566a7b3dff..d5b3367f9a 100644
--- a/tensorflow/contrib/distributions/python/kernel_tests/bijectors/scale_tril_test.py
+++ b/tensorflow/contrib/distributions/python/kernel_tests/bijectors/scale_tril_test.py
@@ -46,7 +46,7 @@ class ScaleTriLBijectorTest(test.TestCase):
     x_ = self.evaluate(b.inverse(y))
     self.assertAllClose(x, x_)
 
-  @test_util.run_in_graph_and_eager_modes()
+  @test_util.run_in_graph_and_eager_modes
   def testInvertible(self):
 
     # Generate random inputs from an unconstrained space, with
diff --git a/tensorflow/contrib/distributions/python/kernel_tests/bijectors/softsign_test.py b/tensorflow/contrib/distributions/python/kernel_tests/bijectors/softsign_test.py
index 2ac06fce55..d0098c3c10 100644
--- a/tensorflow/contrib/distributions/python/kernel_tests/bijectors/softsign_test.py
+++ b/tensorflow/contrib/distributions/python/kernel_tests/bijectors/softsign_test.py
@@ -40,7 +40,7 @@ class SoftsignBijectorTest(test.TestCase):
   def setUp(self):
     self._rng = np.random.RandomState(42)
 
-  @test_util.run_in_graph_and_eager_modes()
+  @test_util.run_in_graph_and_eager_modes
   def testBijectorBounds(self):
     bijector = Softsign(validate_args=True)
     with self.test_session():
@@ -54,7 +54,7 @@ class SoftsignBijectorTest(test.TestCase):
       with self.assertRaisesOpError("less than 1"):
         bijector.inverse_log_det_jacobian(3., event_ndims=0).eval()
 
-  @test_util.run_in_graph_and_eager_modes()
+  @test_util.run_in_graph_and_eager_modes
   def testBijectorForwardInverse(self):
     bijector = Softsign(validate_args=True)
     self.assertEqual("softsign", bijector.name)
@@ -64,7 +64,7 @@ class SoftsignBijectorTest(test.TestCase):
     self.assertAllClose(y, self.evaluate(bijector.forward(x)))
     self.assertAllClose(x, self.evaluate(bijector.inverse(y)))
 
-  @test_util.run_in_graph_and_eager_modes()
+  @test_util.run_in_graph_and_eager_modes
   def testBijectorLogDetJacobianEventDimsZero(self):
     bijector = Softsign(validate_args=True)
     y = self._rng.rand(2, 10)
@@ -74,7 +74,7 @@ class SoftsignBijectorTest(test.TestCase):
     self.assertAllClose(ildj, self.evaluate(
         bijector.inverse_log_det_jacobian(y, event_ndims=0)))
 
-  @test_util.run_in_graph_and_eager_modes()
+  @test_util.run_in_graph_and_eager_modes
   def testBijectorForwardInverseEventDimsOne(self):
     bijector = Softsign(validate_args=True)
     self.assertEqual("softsign", bijector.name)
@@ -83,7 +83,7 @@ class SoftsignBijectorTest(test.TestCase):
     self.assertAllClose(y, self.evaluate(bijector.forward(x)))
     self.assertAllClose(x, self.evaluate(bijector.inverse(y)))
 
-  @test_util.run_in_graph_and_eager_modes()
+  @test_util.run_in_graph_and_eager_modes
   def testBijectorLogDetJacobianEventDimsOne(self):
     bijector = Softsign(validate_args=True)
     y = self._rng.rand(2, 10)
diff --git a/tensorflow/contrib/distributions/python/kernel_tests/bijectors/transform_diagonal_test.py b/tensorflow/contrib/distributions/python/kernel_tests/bijectors/transform_diagonal_test.py
index 6428a68702..efc9f266d1 100644
--- a/tensorflow/contrib/distributions/python/kernel_tests/bijectors/transform_diagonal_test.py
+++ b/tensorflow/contrib/distributions/python/kernel_tests/bijectors/transform_diagonal_test.py
@@ -31,7 +31,7 @@ class TransformDiagonalBijectorTest(test.TestCase):
   def setUp(self):
     self._rng = np.random.RandomState(42)
 
-  @test_util.run_in_graph_and_eager_modes()
+  @test_util.run_in_graph_and_eager_modes
   def testBijector(self):
     x = np.float32(np.random.randn(3, 4, 4))
 
diff --git a/tensorflow/contrib/distributions/python/kernel_tests/distribution_util_test.py b/tensorflow/contrib/distributions/python/kernel_tests/distribution_util_test.py
index bbbec2103a..181c46d2e5 100644
--- a/tensorflow/contrib/distributions/python/kernel_tests/distribution_util_test.py
+++ b/tensorflow/contrib/distributions/python/kernel_tests/distribution_util_test.py
@@ -544,7 +544,7 @@ class PadDynamicTest(_PadTest, test.TestCase):
 
 class TestMoveDimension(test.TestCase):
 
-  @test_util.run_in_graph_and_eager_modes()
+  @test_util.run_in_graph_and_eager_modes
   def test_move_dimension_static_shape(self):
 
     x = random_ops.random_normal(shape=[200, 30, 4, 1, 6])
@@ -561,7 +561,7 @@ class TestMoveDimension(test.TestCase):
     x_perm = distribution_util.move_dimension(x, 4, 2)
     self.assertAllEqual(x_perm.shape.as_list(), [200, 30, 6, 4, 1])
 
-  @test_util.run_in_graph_and_eager_modes()
+  @test_util.run_in_graph_and_eager_modes
   def test_move_dimension_dynamic_shape(self):
 
     x_ = random_ops.random_normal(shape=[200, 30, 4, 1, 6])