0ea67f633b
We used to assume that job is localhost, which may not be true in a multi worker environment. list_logical_devices() isn't always safe since it may return remote devices as well, but we don't have list_local_devices() yet, and we're already using list_logical_devices() in MirorredStrategy (when user doesn't explicit pass devices), so this shouldn't make things worse. An alternative is to re-consider whether we need device_util.canonicalize at all, but there are multiple usage of it. This requires further effort. PiperOrigin-RevId: 316768135 Change-Id: Idb2653497e0c4e746a61c44b4d452ab1d052d014
125 lines
4.6 KiB
Python
125 lines
4.6 KiB
Python
# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Tests for device utilities."""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from absl.testing import parameterized
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from tensorflow.core.protobuf import tensorflow_server_pb2
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from tensorflow.python.distribute import combinations
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from tensorflow.python.distribute import device_util
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from tensorflow.python.distribute import multi_worker_test_base
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from tensorflow.python.eager import context
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from tensorflow.python.framework import ops
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from tensorflow.python.platform import test
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from tensorflow.python.training import server_lib
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class DeviceUtilTest(test.TestCase, parameterized.TestCase):
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def setUp(self):
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super(DeviceUtilTest, self).setUp()
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context._reset_context() # pylint: disable=protected-access
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@combinations.generate(
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combinations.combine(mode="graph")
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)
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def testCurrentDeviceWithGlobalGraph(self):
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with ops.device("/cpu:0"):
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self.assertEqual(device_util.current(), "/device:CPU:0")
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with ops.device("/job:worker"):
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with ops.device("/cpu:0"):
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self.assertEqual(device_util.current(), "/job:worker/device:CPU:0")
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with ops.device("/cpu:0"):
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with ops.device("/gpu:0"):
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self.assertEqual(device_util.current(), "/device:GPU:0")
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def testCurrentDeviceWithNonGlobalGraph(self):
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with ops.Graph().as_default():
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with ops.device("/cpu:0"):
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self.assertEqual(device_util.current(), "/device:CPU:0")
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def testCurrentDeviceWithEager(self):
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with context.eager_mode():
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with ops.device("/cpu:0"):
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self.assertEqual(device_util.current(),
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"/job:localhost/replica:0/task:0/device:CPU:0")
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@combinations.generate(combinations.combine(mode=["graph", "eager"]))
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def testCanonicalizeWithoutDefaultDevice(self, mode):
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if mode == "graph":
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self.assertEqual(
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device_util.canonicalize("/cpu:0"),
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"/replica:0/task:0/device:CPU:0")
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else:
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self.assertEqual(
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device_util.canonicalize("/cpu:0"),
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"/job:localhost/replica:0/task:0/device:CPU:0")
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self.assertEqual(
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device_util.canonicalize("/job:worker/cpu:0"),
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"/job:worker/replica:0/task:0/device:CPU:0")
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self.assertEqual(
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device_util.canonicalize("/job:worker/task:1/cpu:0"),
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"/job:worker/replica:0/task:1/device:CPU:0")
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@combinations.generate(combinations.combine(mode=["eager"]))
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def testCanonicalizeWithoutDefaultDeviceCollectiveEnabled(self):
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cluster_spec = server_lib.ClusterSpec(
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multi_worker_test_base.create_cluster_spec(
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has_chief=False, num_workers=1, num_ps=0, has_eval=False))
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server_def = tensorflow_server_pb2.ServerDef(
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cluster=cluster_spec.as_cluster_def(),
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job_name="worker",
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task_index=0,
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protocol="grpc",
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port=0)
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context.context().enable_collective_ops(server_def)
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self.assertEqual(
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device_util.canonicalize("/cpu:0"),
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"/job:worker/replica:0/task:0/device:CPU:0")
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def testCanonicalizeWithDefaultDevice(self):
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self.assertEqual(
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device_util.canonicalize("/job:worker/task:1/cpu:0", default="/gpu:0"),
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"/job:worker/replica:0/task:1/device:CPU:0")
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self.assertEqual(
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device_util.canonicalize("/job:worker/task:1", default="/gpu:0"),
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"/job:worker/replica:0/task:1/device:GPU:0")
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self.assertEqual(
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device_util.canonicalize("/cpu:0", default="/job:worker"),
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"/job:worker/replica:0/task:0/device:CPU:0")
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def testResolveWithDeviceScope(self):
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with ops.device("/gpu:0"):
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self.assertEqual(
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device_util.resolve("/job:worker/task:1/cpu:0"),
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"/job:worker/replica:0/task:1/device:CPU:0")
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self.assertEqual(
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device_util.resolve("/job:worker/task:1"),
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"/job:worker/replica:0/task:1/device:GPU:0")
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with ops.device("/job:worker"):
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self.assertEqual(
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device_util.resolve("/cpu:0"),
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"/job:worker/replica:0/task:0/device:CPU:0")
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if __name__ == "__main__":
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test.main()
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