code: def _test(self, sess, qw, qb, w_true):
      qw_loc, qb_loc, qw_det_covariance, qb_det_covariance = sess.run(
          [
              qw.loc,
              qb.loc,
              tf.square(qw.scale.determinant()),
              tf.square(qb.scale.determinant()),
          ]
      )
  
      self.assertAllClose(qw_loc, w_true, atol=0.5)
      self.assertAllClose(qb_loc, np.array([0.0]), atol=0.5)
      self.assertAllClose(qw_det_covariance, 0.0, atol=0.1)
      self.assertAllClose(qb_det_covariance, 0.0, atol=0.1)
  
file_path: edward/tests/inferences/laplace_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 MultivariateNormalDiag, MultivariateNormalTriL, Normal
label_desc: Use image node_id 2 for calling the test_laplace_class obj's underlying member method code with example usage: obj._test(sess, qw, qb, w_true) without return types