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authorGravatar Patrick Nguyen <drpng@google.com>2017-12-28 16:04:42 -0800
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2017-12-28 16:08:58 -0800
commit20765b3e1ae3b718699592c98aa9805cb874b6d1 (patch)
treeb429a74cd0046404644f34cc8fe6ff2cab78bb85 /tensorflow/contrib/memory_stats
parent2e2715baa84720f786b38d1f9cb6887399020d6f (diff)
Merge changes from github.
PiperOrigin-RevId: 180301735
Diffstat (limited to 'tensorflow/contrib/memory_stats')
-rw-r--r--tensorflow/contrib/memory_stats/__init__.py4
-rw-r--r--tensorflow/contrib/memory_stats/python/kernel_tests/memory_stats_ops_test.py5
2 files changed, 7 insertions, 2 deletions
diff --git a/tensorflow/contrib/memory_stats/__init__.py b/tensorflow/contrib/memory_stats/__init__.py
index a32302c854..2ce849ca66 100644
--- a/tensorflow/contrib/memory_stats/__init__.py
+++ b/tensorflow/contrib/memory_stats/__init__.py
@@ -19,6 +19,10 @@
@@MaxBytesInUse
"""
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
from tensorflow.contrib.memory_stats.python.ops.memory_stats_ops import BytesInUse
from tensorflow.contrib.memory_stats.python.ops.memory_stats_ops import BytesLimit
from tensorflow.contrib.memory_stats.python.ops.memory_stats_ops import MaxBytesInUse
diff --git a/tensorflow/contrib/memory_stats/python/kernel_tests/memory_stats_ops_test.py b/tensorflow/contrib/memory_stats/python/kernel_tests/memory_stats_ops_test.py
index 5e52ef3647..02c2ac06fb 100644
--- a/tensorflow/contrib/memory_stats/python/kernel_tests/memory_stats_ops_test.py
+++ b/tensorflow/contrib/memory_stats/python/kernel_tests/memory_stats_ops_test.py
@@ -76,9 +76,10 @@ class MemoryStatsOpsTest(test_util.TensorFlowTestCase):
with ops.control_dependencies([a]):
bytes_in_use_op = memory_stats_ops.BytesInUse()
with ops.control_dependencies([bytes_in_use_op]):
- b = math_ops.add(a, a)
+ b = random_ops.random_uniform(matrix_shape, dtype=dtype)
+ c = math_ops.matmul(a, b)
- _, bytes_in_use, max_bytes_in_use = sess.run([b, bytes_in_use_op,
+ _, bytes_in_use, max_bytes_in_use = sess.run([c, bytes_in_use_op,
max_bytes_in_use_op])
# intermediate result allocates 1 matrix, max usage is at least 2