def test_do_not_stop_if_checkpoint_is_not_there(self):
with ops.Graph().as_default():
step = training.create_global_step()
assign_ten = step.assign(10)
no_op = control_flow_ops.no_op()
hook = hooks_lib._StopAtCheckpointStepHook(
model_dir=tempfile.mkdtemp(), last_step=10)
with training.SingularMonitoredSession(hooks=[hook]) as mon_sess:
mon_sess.raw_session().run(assign_ten)
with test.mock.patch.object(time, 'sleep') as mock_sleep:
mon_sess.run(no_op)
self.assertTrue(mock_sleep.called)
self.assertFalse(mon_sess.should_stop())
def test_stop_if_checkpoint_step_is_laststep(self):
model_dir = tempfile.mkdtemp()
with tf.Graph().as_default():
step = tf.compat.v1.train.create_global_step()
assign_ten = step.assign(10)
no_op = tf.no_op()
hook = hooks_lib._StopAtCheckpointStepHook(model_dir=model_dir,
last_step=10)
with tf.compat.v1.Session() as sess:
sess.run(assign_ten)
tf.compat.v1.train.Saver().save(
sess, os.path.join(model_dir, 'model.ckpt'))
with tf.compat.v1.train.SingularMonitoredSession(
hooks=[hook]) as mon_sess:
mon_sess.raw_session().run(assign_ten)
with tf.compat.v1.test.mock.patch.object(
time, 'sleep') as mock_sleep:
mon_sess.run(no_op)
self.assertFalse(mock_sleep.called)
self.assertTrue(mon_sess.should_stop())
