code: def test_score_entropy_klqp(self):
      self._test_normal_normal(
          ed.ScoreEntropyKLqp, default=False, n_samples=5, n_iter=5000
      )
      self._test_normal_normal(
          ed.ScoreEntropyKLqp, default=True, n_samples=5, n_iter=5000
      )
      self._test_model_parameter(ed.ScoreEntropyKLqp, n_iter=50)
  
file_path: edward/tests/inferences/klqp_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 Bernoulli, Normal
label_desc: Use image node_id 8 for calling the test_klqp_class obj's underlying member method code with example usage: obj.test_score_entropy_klqp() without return types