diff options
Diffstat (limited to 'tensorflow/python/kernel_tests/batchtospace_op_test.py')
-rw-r--r-- | tensorflow/python/kernel_tests/batchtospace_op_test.py | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/tensorflow/python/kernel_tests/batchtospace_op_test.py b/tensorflow/python/kernel_tests/batchtospace_op_test.py index 6143cd3baa..03f3f64353 100644 --- a/tensorflow/python/kernel_tests/batchtospace_op_test.py +++ b/tensorflow/python/kernel_tests/batchtospace_op_test.py @@ -60,7 +60,7 @@ class BatchToSpaceDepthToSpace(test.TestCase, PythonOpImpl): array_ops.depth_to_space( array_ops.transpose(x, [3, 1, 2, 0]), block_size=block_size), [3, 1, 2, 0]) - with self.test_session(): + with self.cached_session(): self.assertAllEqual(y1.eval(), y2.eval()) @@ -235,7 +235,7 @@ class BatchToSpaceGradientTest(test.TestCase, PythonOpImpl): # Check the gradients. def _checkGrad(self, x, crops, block_size): assert 4 == x.ndim - with self.test_session(): + with self.cached_session(): tf_x = ops.convert_to_tensor(x) tf_y = self.batch_to_space(tf_x, crops, block_size) epsilon = 1e-5 @@ -293,7 +293,7 @@ class BatchToSpaceNDGradientTest(test.TestCase): block_shape = np.array(block_shape) crops = constant_op.constant( np.array(crops).reshape((len(block_shape), 2)), crops_dtype) - with self.test_session(): + with self.cached_session(): tf_x = ops.convert_to_tensor(x) tf_y = array_ops.batch_to_space_nd(tf_x, block_shape, crops) epsilon = 1e-5 |