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"""Tests for Coordinator."""
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, e:
if report_exception:
coord.request_stop(e)
else:
coord.request_stop(sys.exc_info())
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)
if __name__ == "__main__":
tf.test.main()
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