graph_actions_test.py 文件源码

def test_train_summaries(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.summary.scalar('loss', loss_op)
      writer = learn.graph_actions.get_summary_writer(self._output_dir)
      self._assert_summaries(self._output_dir, writer)
      self._assert_ckpt(self._output_dir, False)
      loss = learn.graph_actions._monitored_train(  # pylint: disable=protected-access
          g,
          output_dir=self._output_dir,
          train_op=train_op,
          loss_op=loss_op,
          steps=1)
      meta_graph_def = meta_graph.create_meta_graph_def()
      self.assertEqual(2.0, loss)
      self._assert_summaries(self._output_dir, writer,
                             expected_graphs=[g],
                             expected_meta_graphs=[meta_graph_def],
                             expected_summaries={1: {'loss': 2.0}})
      self._assert_ckpt(self._output_dir, True)