code: def test_import_meta_graph(self):
      with self.test_session() as sess:
          new_saver = tf.train.import_meta_graph(
              "tests/data/test_saver.meta"
          )
          new_saver.restore(sess, "tests/data/test_saver")
          qmu_variable = tf.get_collection(
              tf.GraphKeys.TRAINABLE_VARIABLES, scope="posterior"
          )[0]
          self.assertNotEqual(qmu_variable.eval(), 1.0)
  
file_path: edward/tests/inferences/saver_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import edward
  import numpy
  import tensorflow
  from edward.models import Normal, PointMass
label_desc: Use image node_id 2 for calling the test_saver_class obj's underlying member method code with example usage: obj.test_import_meta_graph() without return types