From: Jacques Pienaar <jpienaar@google.com>
Date: Mon, 12 Feb 2018 22:37:41 +0000 (-0800)
Subject: Rename op name in comments to reflect renamed op names. NFC.
X-Git-Tag: upstream/v1.7.0~31^2~772
X-Git-Url: http://review.tizen.org/git/?a=commitdiff_plain;h=6898a5689083fb9e78d02a0d3a66595f8c41729f;p=platform%2Fupstream%2Ftensorflow.git

Rename op name in comments to reflect renamed op names. NFC.

PiperOrigin-RevId: 185437550
---

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])