From 6898a5689083fb9e78d02a0d3a66595f8c41729f Mon Sep 17 00:00:00 2001 From: Jacques Pienaar Date: Mon, 12 Feb 2018 14:37:41 -0800 Subject: [PATCH] Rename op name in comments to reflect renamed op names. NFC. PiperOrigin-RevId: 185437550 --- tensorflow/python/kernel_tests/stack_op_test.py | 6 +++--- tensorflow/python/kernel_tests/unstack_op_test.py | 6 +++--- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/tensorflow/python/kernel_tests/stack_op_test.py b/tensorflow/python/kernel_tests/stack_op_test.py index 347baf8..2f27d18 100644 --- a/tensorflow/python/kernel_tests/stack_op_test.py +++ b/tensorflow/python/kernel_tests/stack_op_test.py @@ -50,7 +50,7 @@ class StackOpTest(test.TestCase): # Convert [data[0], data[1], ...] separately to tensorflow # TODO(irving): Remove list() once we handle maps correctly xs = list(map(constant_op.constant, data)) - # Pack back into a single tensorflow tensor + # Stack back into a single tensorflow tensor c = array_ops.stack(xs) self.assertAllEqual(c.eval(), data) @@ -78,7 +78,7 @@ class StackOpTest(test.TestCase): for shape in (2,), (3,), (2, 3), (3, 2), (4, 3, 2): for dtype in [np.bool, np.float32, np.int32, np.int64]: data = np.random.randn(*shape).astype(dtype) - # Pack back into a single tensorflow tensor directly using np array + # Stack back into a single tensorflow tensor directly using np array c = array_ops.stack(data) # This is implemented via a Const: self.assertEqual(c.op.type, "Const") @@ -223,7 +223,7 @@ class StackOpTest(test.TestCase): array_ops.stack(t, axis=-3) -class AutomaticPackingTest(test.TestCase): +class AutomaticStackingTest(test.TestCase): def testSimple(self): with self.test_session(use_gpu=True): diff --git a/tensorflow/python/kernel_tests/unstack_op_test.py b/tensorflow/python/kernel_tests/unstack_op_test.py index 8481875..1ee6e08 100644 --- a/tensorflow/python/kernel_tests/unstack_op_test.py +++ b/tensorflow/python/kernel_tests/unstack_op_test.py @@ -12,7 +12,7 @@ # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== -"""Functional tests for Unpack Op.""" +"""Functional tests for Unstack Op.""" from __future__ import absolute_import from __future__ import division @@ -49,7 +49,7 @@ class UnstackOpTest(test.TestCase): data = np.random.randn(*shape).astype(dtype) # Convert data to a single tensorflow tensor x = constant_op.constant(data) - # Unpack into a list of tensors + # Unstack into a list of tensors cs = array_ops.unstack(x, num=shape[0]) self.assertEqual(type(cs), list) self.assertEqual(len(cs), shape[0]) @@ -66,7 +66,7 @@ class UnstackOpTest(test.TestCase): data = np.random.randn(*shape).astype(dtype) # Convert data to a single tensorflow tensor x = constant_op.constant(data) - # Unpack into a list of tensors + # Unstack into a list of tensors cs = array_ops.unstack(x, num=shape[0]) self.assertEqual(type(cs), list) self.assertEqual(len(cs), shape[0]) -- 2.7.4