experiments/STT-tensorflow
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Rename op name in comments to reflect renamed op names. NFC.

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PiperOrigin-RevId: 185437550
This commit is contained in:
Jacques Pienaar 2018-02-12 14:37:41 -08:00 committed by TensorFlower Gardener
parent ef59be7e91
commit 6898a56890
2 changed files with 6 additions and 6 deletions
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6
tensorflow/python/kernel_tests/stack_op_test.py
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@ -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):

6
tensorflow/python/kernel_tests/unstack_op_test.py
View File

@ -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])