blob: 16799104e8112f4391152c0cf2a15af81f8c2c9d (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
|
# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Tests for prefetching_ops_v2."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.contrib.distribute.python import prefetching_ops_v2
from tensorflow.python.data.ops import dataset_ops
from tensorflow.python.framework import errors
from tensorflow.python.framework import test_util
from tensorflow.python.platform import test
class PrefetchingOpsV2Test(test.TestCase):
def testPrefetchToOneDevice(self):
if not test_util.is_gpu_available():
self.skipTest("No GPU available")
host_dataset = dataset_ops.Dataset.range(10)
device_dataset = host_dataset.apply(
prefetching_ops_v2.prefetch_to_devices("/gpu:0"))
iterator = device_dataset.make_one_shot_iterator()
next_element = iterator.get_next()
with self.cached_session() as sess:
for i in range(10):
self.assertEqual(i, sess.run(next_element))
with self.assertRaises(errors.OutOfRangeError):
sess.run(next_element)
def testPrefetchToTwoDevicesInAList(self):
if not test_util.is_gpu_available():
self.skipTest("No GPU available")
host_dataset = dataset_ops.Dataset.range(10)
device_dataset = host_dataset.apply(
prefetching_ops_v2.prefetch_to_devices(["/cpu:0", "/gpu:0"]))
iterator = device_dataset.make_one_shot_iterator()
next_element = iterator.get_next()
output = []
# TODO(rohanj): Modify test to go till the end of the dataset when we
# switch to MultiDeviceIterator.
with self.cached_session() as sess:
for _ in range(4):
result = sess.run(next_element)
self.assertEqual(2, len(result))
output.extend(result)
self.assertEquals(set(range(8)), set(output))
def testPrefetchToTwoDevicesWithReinit(self):
if not test_util.is_gpu_available():
self.skipTest("No GPU available")
host_dataset = dataset_ops.Dataset.range(10)
device_dataset = host_dataset.apply(
prefetching_ops_v2.prefetch_to_devices(["/cpu:0", "/gpu:0"]))
iterator = device_dataset.make_initializable_iterator()
next_element = iterator.get_next()
# TODO(rohanj): Modify test to go till the end of the dataset when we
# switch to MultiDeviceIterator.
with self.cached_session() as sess:
sess.run(iterator.initializer)
for _ in range(4):
sess.run(next_element)
sess.run(iterator.initializer)
for _ in range(4):
sess.run(next_element)
if __name__ == "__main__":
test.main()
|