code: def test_save(self):
      with self.test_session() as sess:
          x_data = np.array([0.0] * 50, dtype=np.float32)
  
          mu = Normal(loc=0.0, scale=1.0)
          x = Normal(loc=mu, scale=1.0, sample_shape=50)
  
          with tf.variable_scope("posterior"):
              qmu = PointMass(params=tf.Variable(1.0))
  
          inference = ed.MAP({mu: qmu}, data={x: x_data})
          inference.run(n_iter=10)
  
          saver = tf.train.Saver()
          saver.save(sess, "/tmp/test_saver")
  
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 4 for calling the test_saver_class obj's underlying member method code with example usage: obj.test_save() without return types