graph_actions_test.py 文件源码

def test_train_chief_monitor(self):
    with tf.Graph().as_default() as g, self.test_session(g):
      with tf.control_dependencies(self._build_inference_graph()):
        train_op = tf.assign_add(tf.contrib.framework.get_global_step(), 1)
      loss_op = tf.constant(2.0)
      tf.scalar_summary('loss', loss_op)
      chief_exclusive_monitor = _BaseMonitorWrapper(False)
      all_workers_monitor = _BaseMonitorWrapper(True)
      loss = learn.graph_actions.train(
          g, output_dir=self._output_dir, train_op=train_op, loss_op=loss_op,
          supervisor_is_chief=True, steps=1,
          monitors=[chief_exclusive_monitor, all_workers_monitor])
      self.assertEqual(2.0, loss)
      self.assertTrue(chief_exclusive_monitor.is_active and
                      all_workers_monitor.is_active,
                      'All monitors must have been active.')
      self.assertTrue(chief_exclusive_monitor.has_step and
                      all_workers_monitor.has_step,
                      'All monitors must have a step.')