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coordinator_test.py
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135 lines (112 loc) · 4.14 KB
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# 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 Coordinator."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import sys
import threading
import time
import tensorflow.python.platform
import tensorflow as tf
def StopInN(coord, n_secs):
time.sleep(n_secs)
coord.request_stop()
def RaiseInN(coord, n_secs, ex, report_exception):
try:
time.sleep(n_secs)
raise ex
except RuntimeError as e:
if report_exception:
coord.request_stop(e)
else:
coord.request_stop(sys.exc_info())
def RaiseInNUsingContextHandler(coord, n_secs, ex):
with coord.stop_on_exception():
time.sleep(n_secs)
raise ex
def SleepABit(n_secs):
time.sleep(n_secs)
class CoordinatorTest(tf.test.TestCase):
def testStopAPI(self):
coord = tf.train.Coordinator()
self.assertFalse(coord.should_stop())
self.assertFalse(coord.wait_for_stop(0.01))
coord.request_stop()
self.assertTrue(coord.should_stop())
self.assertTrue(coord.wait_for_stop(0.01))
def testStopAsync(self):
coord = tf.train.Coordinator()
self.assertFalse(coord.should_stop())
self.assertFalse(coord.wait_for_stop(0.1))
threading.Thread(target=StopInN, args=(coord, 0.02)).start()
self.assertFalse(coord.should_stop())
self.assertFalse(coord.wait_for_stop(0.01))
self.assertTrue(coord.wait_for_stop(0.03))
self.assertTrue(coord.should_stop())
def testJoin(self):
coord = tf.train.Coordinator()
threads = [
threading.Thread(target=SleepABit, args=(0.01,)),
threading.Thread(target=SleepABit, args=(0.02,)),
threading.Thread(target=SleepABit, args=(0.01,))]
for t in threads:
t.start()
coord.join(threads)
def testJoinGraceExpires(self):
coord = tf.train.Coordinator()
threads = [
threading.Thread(target=StopInN, args=(coord, 0.01)),
threading.Thread(target=SleepABit, args=(10.0,))]
for t in threads:
t.daemon = True
t.start()
with self.assertRaisesRegexp(RuntimeError, "threads still running"):
coord.join(threads, stop_grace_period_secs=0.02)
def testJoinRaiseReportExcInfo(self):
coord = tf.train.Coordinator()
threads = [
threading.Thread(target=RaiseInN,
args=(coord, 0.01, RuntimeError("First"), False)),
threading.Thread(target=RaiseInN,
args=(coord, 0.02, RuntimeError("Too late"), False))]
for t in threads:
t.start()
with self.assertRaisesRegexp(RuntimeError, "First"):
coord.join(threads)
def testJoinRaiseReportException(self):
coord = tf.train.Coordinator()
threads = [
threading.Thread(target=RaiseInN,
args=(coord, 0.01, RuntimeError("First"), True)),
threading.Thread(target=RaiseInN,
args=(coord, 0.02, RuntimeError("Too late"), True))]
for t in threads:
t.start()
with self.assertRaisesRegexp(RuntimeError, "First"):
coord.join(threads)
def testJoinRaiseReportExceptionUsingHandler(self):
coord = tf.train.Coordinator()
threads = [
threading.Thread(target=RaiseInNUsingContextHandler,
args=(coord, 0.01, RuntimeError("First"))),
threading.Thread(target=RaiseInNUsingContextHandler,
args=(coord, 0.02, RuntimeError("Too late")))]
for t in threads:
t.start()
with self.assertRaisesRegexp(RuntimeError, "First"):
coord.join(threads)
if __name__ == "__main__":
tf.test.main()