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"""Tests for QueueRunner."""
import time
import tensorflow.python.platform
import tensorflow as tf
class QueueRunnerTest(tf.test.TestCase):
def testBasic(self):
with self.test_session() as sess:
# CountUpTo will raise OUT_OF_RANGE when it reaches the count.
zero64 = tf.constant(0, dtype=tf.int64)
var = tf.Variable(zero64)
count_up_to = var.count_up_to(3)
queue = tf.FIFOQueue(10, tf.float32)
tf.initialize_all_variables().run()
qr = tf.train.QueueRunner(queue, [count_up_to])
threads = qr.create_threads(sess)
for t in threads:
t.start()
for t in threads:
t.join()
self.assertEqual(0, len(qr.exceptions_raised))
# The variable should be 3.
self.assertEqual(3, var.eval())
def testTwoOps(self):
with self.test_session() as sess:
# CountUpTo will raise OUT_OF_RANGE when it reaches the count.
zero64 = tf.constant(0, dtype=tf.int64)
var0 = tf.Variable(zero64)
count_up_to_3 = var0.count_up_to(3)
var1 = tf.Variable(zero64)
count_up_to_30 = var1.count_up_to(30)
queue = tf.FIFOQueue(10, tf.float32)
qr = tf.train.QueueRunner(queue, [count_up_to_3, count_up_to_30])
threads = qr.create_threads(sess)
tf.initialize_all_variables().run()
for t in threads:
t.start()
for t in threads:
t.join()
self.assertEqual(0, len(qr.exceptions_raised))
self.assertEqual(3, var0.eval())
self.assertEqual(30, var1.eval())
def testExceptionsCaptured(self):
with self.test_session() as sess:
queue = tf.FIFOQueue(10, tf.float32)
qr = tf.train.QueueRunner(queue, ["i fail", "so fail"])
threads = qr.create_threads(sess)
tf.initialize_all_variables().run()
for t in threads:
t.start()
for t in threads:
t.join()
exceptions = qr.exceptions_raised
self.assertEqual(2, len(exceptions))
self.assertTrue("Operation not in the graph" in str(exceptions[0]))
self.assertTrue("Operation not in the graph" in str(exceptions[1]))
def testRealDequeueEnqueue(self):
with self.test_session() as sess:
q0 = tf.FIFOQueue(3, tf.float32)
enqueue0 = q0.enqueue((10.0,))
close0 = q0.close()
q1 = tf.FIFOQueue(30, tf.float32)
enqueue1 = q1.enqueue((q0.dequeue(),))
dequeue1 = q1.dequeue()
qr = tf.train.QueueRunner(q1, [enqueue1])
threads = qr.create_threads(sess)
for t in threads:
t.start()
# Enqueue 2 values, then close queue0.
enqueue0.run()
enqueue0.run()
close0.run()
# Wait for the queue runner to terminate.
for t in threads:
t.join()
# It should have terminated cleanly.
self.assertEqual(0, len(qr.exceptions_raised))
# The 2 values should be in queue1.
self.assertEqual(10.0, dequeue1.eval())
self.assertEqual(10.0, dequeue1.eval())
# And queue1 should now be closed.
with self.assertRaisesRegexp(tf.errors.OutOfRangeError, "is closed"):
dequeue1.eval()
def testRespectCoordShouldStop(self):
with self.test_session() as sess:
# CountUpTo will raise OUT_OF_RANGE when it reaches the count.
zero64 = tf.constant(0, dtype=tf.int64)
var = tf.Variable(zero64)
count_up_to = var.count_up_to(3)
queue = tf.FIFOQueue(10, tf.float32)
tf.initialize_all_variables().run()
qr = tf.train.QueueRunner(queue, [count_up_to])
# As the coordinator to stop. The queue runner should
# finish immediately.
coord = tf.train.Coordinator()
coord.request_stop()
threads = qr.create_threads(sess, coord)
for t in threads:
t.start()
coord.join(threads)
self.assertEqual(0, len(qr.exceptions_raised))
# The variable should be 0.
self.assertEqual(0, var.eval())
def testRequestStopOnException(self):
with self.test_session() as sess:
queue = tf.FIFOQueue(10, tf.float32)
qr = tf.train.QueueRunner(queue, ["not an op"])
coord = tf.train.Coordinator()
threads = qr.create_threads(sess, coord)
for t in threads:
t.start()
# The exception should be re-raised when joining.
with self.assertRaisesRegexp(ValueError, "Operation not in the graph"):
coord.join(threads)
def testGracePeriod(self):
with self.test_session() as sess:
# The enqueue will quickly block.
queue = tf.FIFOQueue(2, tf.float32)
enqueue = queue.enqueue((10.0,))
dequeue = queue.dequeue()
qr = tf.train.QueueRunner(queue, [enqueue])
coord = tf.train.Coordinator()
threads = qr.create_threads(sess, coord, start=True)
# Dequeue one element and then request stop.
dequeue.op.run()
time.sleep(0.02)
coord.request_stop()
# We should be able to join because the RequestStop() will cause
# the queue to be closed and the enqueue to terminate.
coord.join(threads, stop_grace_period_secs=0.05)
def testNoMultiThreads(self):
with self.test_session() as sess:
# CountUpTo will raise OUT_OF_RANGE when it reaches the count.
zero64 = tf.constant(0, dtype=tf.int64)
var = tf.Variable(zero64)
count_up_to = var.count_up_to(3)
queue = tf.FIFOQueue(10, tf.float32)
tf.initialize_all_variables().run()
coord = tf.train.Coordinator()
qr = tf.train.QueueRunner(queue, [count_up_to])
threads = []
threads.extend(qr.create_threads(sess, coord=coord))
with self.assertRaisesRegexp(
RuntimeError,
"Threads are already running"):
threads.extend(qr.create_threads(sess, coord=coord))
coord.request_stop()
coord.join(threads, stop_grace_period_secs=0.5)
def testThreads(self):
with self.test_session() as sess:
# CountUpTo will raise OUT_OF_RANGE when it reaches the count.
zero64 = tf.constant(0, dtype=tf.int64)
var = tf.Variable(zero64)
count_up_to = var.count_up_to(3)
queue = tf.FIFOQueue(10, tf.float32)
tf.initialize_all_variables().run()
qr = tf.train.QueueRunner(queue, [count_up_to, "bad op"])
threads = qr.create_threads(sess, start=True)
for t in threads:
t.join()
exceptions = qr.exceptions_raised
self.assertEqual(1, len(exceptions))
self.assertTrue("Operation not in the graph" in str(exceptions[0]))
threads = qr.create_threads(sess, start=True)
for t in threads:
t.join()
exceptions = qr.exceptions_raised
self.assertEqual(1, len(exceptions))
self.assertTrue("Operation not in the graph" in str(exceptions[0]))
if __name__ == "__main__":
tf.test.main()
|
