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.scalar_summary('loss', loss_op)
      self._assert_summaries(self._output_dir)
      self._assert_ckpt(self._output_dir, False)
      loss = learn.graph_actions.train(
          g, output_dir=self._output_dir, train_op=train_op, loss_op=loss_op,
          steps=1)
      self.assertEqual(2.0, loss)
      self._assert_summaries(
          self._output_dir,
          expected_graphs=[g],
          expected_summaries={1: {'loss': 2.0}})
      self._assert_ckpt(self._output_dir, True)