text: """Generate `test_saver`."""
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  import edward as ed
  import numpy as np
  import tensorflow as tf
  
  from edward.models import Normal, PointMass
  
  
  def main(_):
    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)
  
    sess = ed.get_session()
    saver = tf.train.Saver()
    saver.save(sess, "test_saver")
  
  if __name__ == "__main__":
    tf.app.run()
  