forked from tensorflow/tensorflow
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathdevice_setter_test.py
More file actions
83 lines (72 loc) · 3.32 KB
/
Copy pathdevice_setter_test.py
File metadata and controls
83 lines (72 loc) · 3.32 KB
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
# Copyright 2015 Google Inc. 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 device function for replicated training."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
class DeviceSetterTest(tf.test.TestCase):
_cluster_spec = tf.train.ClusterSpec({
"ps": ["ps0:2222", "ps1:2222"],
"worker": ["worker0:2222", "worker1:2222", "worker2:2222"]})
def testPS2TasksWithCluserSpecClass(self):
with tf.device(tf.train.replica_device_setter(cluster=self._cluster_spec)):
v = tf.Variable([1, 2])
w = tf.Variable([2, 1])
a = v + w
self.assertDeviceEqual("/job:ps/task:0", v.device)
self.assertDeviceEqual("/job:ps/task:0", v.initializer.device)
self.assertDeviceEqual("/job:ps/task:1", w.device)
self.assertDeviceEqual("/job:ps/task:1", w.initializer.device)
self.assertDeviceEqual("/job:worker", a.device)
def testPS2TasksWithClusterSpecDict(self):
with tf.device(tf.train.replica_device_setter(
cluster=self._cluster_spec.as_dict())):
v = tf.Variable([1, 2])
w = tf.Variable([2, 1])
a = v + w
self.assertDeviceEqual("/job:ps/task:0", v.device)
self.assertDeviceEqual("/job:ps/task:0", v.initializer.device)
self.assertDeviceEqual("/job:ps/task:1", w.device)
self.assertDeviceEqual("/job:ps/task:1", w.initializer.device)
self.assertDeviceEqual("/job:worker", a.device)
def testPS2TasksWithClusterDef(self):
with tf.device(tf.train.replica_device_setter(
cluster=self._cluster_spec.as_cluster_def())):
v = tf.Variable([1, 2])
w = tf.Variable([2, 1])
a = v + w
self.assertDeviceEqual("/job:ps/task:0", v.device)
self.assertDeviceEqual("/job:ps/task:0", v.initializer.device)
self.assertDeviceEqual("/job:ps/task:1", w.device)
self.assertDeviceEqual("/job:ps/task:1", w.initializer.device)
self.assertDeviceEqual("/job:worker", a.device)
def testPS2TasksWithDevice(self):
cluster_spec = tf.train.ClusterSpec({
"sun": ["sun0:2222", "sun1:2222", "sun2:2222"],
"moon": ["moon0:2222", "moon1:2222"]})
with tf.device(tf.train.replica_device_setter(
ps_device="/job:moon", worker_device="/job:sun",
cluster=cluster_spec.as_cluster_def())):
v = tf.Variable([1, 2])
w = tf.Variable([2, 1])
a = v + w
self.assertDeviceEqual("/job:moon/task:0", v.device)
self.assertDeviceEqual("/job:moon/task:0", v.initializer.device)
self.assertDeviceEqual("/job:moon/task:1", w.device)
self.assertDeviceEqual("/job:moon/task:1", w.initializer.device)
self.assertDeviceEqual("/job:sun", a.device)
if __name__ == "__main__":
tf.test.main()