Try to deduce job, replica and task from config.list_logical_devices() again

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
This commit is contained in:
Ran Chen 2020-06-16 15:17:40 -07:00 committed by TensorFlower Gardener
parent ef68eff537
commit 0ea67f633b
3 changed files with 59 additions and 10 deletions

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@ -121,9 +121,17 @@ cuda_py_test(
name = "device_util_test", name = "device_util_test",
srcs = ["device_util_test.py"], srcs = ["device_util_test.py"],
deps = [ deps = [
":combinations",
":device_util", ":device_util",
":multi_worker_test_base",
":multi_worker_util",
"//tensorflow/core:protos_all_py",
"//tensorflow/python:client_testlib", "//tensorflow/python:client_testlib",
"//tensorflow/python:extra_py_tests_deps",
"//tensorflow/python:framework_ops", "//tensorflow/python:framework_ops",
"//tensorflow/python:training_server_lib",
"//tensorflow/python/eager:context",
"@absl_py//absl/testing:parameterized",
], ],
) )

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@ -19,6 +19,7 @@ from __future__ import division
from __future__ import print_function from __future__ import print_function
from tensorflow.python.eager import context from tensorflow.python.eager import context
from tensorflow.python.framework import config
from tensorflow.python.framework import device as tf_device from tensorflow.python.framework import device as tf_device
from tensorflow.python.framework import ops from tensorflow.python.framework import ops
@ -55,8 +56,16 @@ def canonicalize(d, default=None):
result = tf_device.DeviceSpec( result = tf_device.DeviceSpec(
replica=0, task=0, device_type="CPU", device_index=0) replica=0, task=0, device_type="CPU", device_index=0)
if ops.executing_eagerly_outside_functions(): if ops.executing_eagerly_outside_functions():
# The default job is localhost if eager execution is enabled # Try to deduce job, replica and task in case it's in a multi worker setup.
result = result.replace(job="localhost") # TODO(b/151452748): Using list_logical_devices is not always safe since it
# may return remote devices as well, but we're already doing this elsewhere.
host_cpu = tf_device.DeviceSpec.from_string(
config.list_logical_devices("CPU")[0].name)
if host_cpu.job:
result = result.make_merged_spec(host_cpu)
else:
# The default job is localhost if eager execution is enabled
result = result.replace(job="localhost")
if default: if default:
# Overrides any defaults with values from the default device if given. # Overrides any defaults with values from the default device if given.
result = result.make_merged_spec( result = result.make_merged_spec(

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@ -18,16 +18,27 @@ from __future__ import absolute_import
from __future__ import division from __future__ import division
from __future__ import print_function from __future__ import print_function
from absl.testing import parameterized
from tensorflow.core.protobuf import tensorflow_server_pb2
from tensorflow.python.distribute import combinations
from tensorflow.python.distribute import device_util from tensorflow.python.distribute import device_util
from tensorflow.python.distribute import multi_worker_test_base
from tensorflow.python.eager import context from tensorflow.python.eager import context
from tensorflow.python.framework import ops from tensorflow.python.framework import ops
from tensorflow.python.framework import test_util
from tensorflow.python.platform import test from tensorflow.python.platform import test
from tensorflow.python.training import server_lib
class DeviceUtilTest(test.TestCase): class DeviceUtilTest(test.TestCase, parameterized.TestCase):
@test_util.run_deprecated_v1 def setUp(self):
super(DeviceUtilTest, self).setUp()
context._reset_context() # pylint: disable=protected-access
@combinations.generate(
combinations.combine(mode="graph")
)
def testCurrentDeviceWithGlobalGraph(self): def testCurrentDeviceWithGlobalGraph(self):
with ops.device("/cpu:0"): with ops.device("/cpu:0"):
self.assertEqual(device_util.current(), "/device:CPU:0") self.assertEqual(device_util.current(), "/device:CPU:0")
@ -51,11 +62,16 @@ class DeviceUtilTest(test.TestCase):
self.assertEqual(device_util.current(), self.assertEqual(device_util.current(),
"/job:localhost/replica:0/task:0/device:CPU:0") "/job:localhost/replica:0/task:0/device:CPU:0")
@test_util.run_deprecated_v1 @combinations.generate(combinations.combine(mode=["graph", "eager"]))
def testCanonicalizeWithoutDefaultDevice(self): def testCanonicalizeWithoutDefaultDevice(self, mode):
self.assertEqual( if mode == "graph":
device_util.canonicalize("/cpu:0"), self.assertEqual(
"/replica:0/task:0/device:CPU:0") device_util.canonicalize("/cpu:0"),
"/replica:0/task:0/device:CPU:0")
else:
self.assertEqual(
device_util.canonicalize("/cpu:0"),
"/job:localhost/replica:0/task:0/device:CPU:0")
self.assertEqual( self.assertEqual(
device_util.canonicalize("/job:worker/cpu:0"), device_util.canonicalize("/job:worker/cpu:0"),
"/job:worker/replica:0/task:0/device:CPU:0") "/job:worker/replica:0/task:0/device:CPU:0")
@ -63,6 +79,22 @@ class DeviceUtilTest(test.TestCase):
device_util.canonicalize("/job:worker/task:1/cpu:0"), device_util.canonicalize("/job:worker/task:1/cpu:0"),
"/job:worker/replica:0/task:1/device:CPU:0") "/job:worker/replica:0/task:1/device:CPU:0")
@combinations.generate(combinations.combine(mode=["eager"]))
def testCanonicalizeWithoutDefaultDeviceCollectiveEnabled(self):
cluster_spec = server_lib.ClusterSpec(
multi_worker_test_base.create_cluster_spec(
has_chief=False, num_workers=1, num_ps=0, has_eval=False))
server_def = tensorflow_server_pb2.ServerDef(
cluster=cluster_spec.as_cluster_def(),
job_name="worker",
task_index=0,
protocol="grpc",
port=0)
context.context().enable_collective_ops(server_def)
self.assertEqual(
device_util.canonicalize("/cpu:0"),
"/job:worker/replica:0/task:0/device:CPU:0")
def testCanonicalizeWithDefaultDevice(self): def testCanonicalizeWithDefaultDevice(self):
self.assertEqual( self.assertEqual(
device_util.canonicalize("/job:worker/task:1/cpu:0", default="/gpu:0"), device_util.canonicalize("/job:worker/task:1/cpu:0", default="/gpu:0"),