var_list = tf.contrib.framework.get_variables_to_restore(exclude=new_variables_name)
saver = tf.train.Saver(var_list)

with tf.train.MonitoredTrainingSession(checkpoint_dir=FLAGS.train_dir,
    hooks=[tf.train.StopAtStepHook(last_step=FLAGS.max_steps),
           tf.train.NanTensorHook(loss)],
    config=tf.ConfigProto(
        log_device_placement=FLAGS.log_device_placement)) as mon_sess:
    saver.restore(mon_sess, ".../model.ckpt-100000")
    while not mon_sess.should_stop():
      mon_sess.run(train_op)