docstr: Do we correctly handle dependencies of transformed variables?
docstr_tok: ["Do","we","correctly","handle","dependencies","of","transformed","variables","?"]
code: def test_hmc_betabernoulli(self):
      """Do we correctly handle dependencies of transformed variables?"""
  
      with self.test_session() as sess:
          # model
          z = Beta(1.0, 1.0, name="z")
          xs = Bernoulli(probs=z, sample_shape=10)
          x_obs = np.asarray(
              [0, 0, 1, 1, 0, 0, 0, 0, 0, 1], dtype=np.int32
          )
  
          # inference
          qz_samples = tf.Variable(tf.random_uniform(shape=(1000,)))
          qz = ed.models.Empirical(
              params=qz_samples, name="z_posterior"
          )
          inference_hmc = ed.inferences.HMC({z: qz}, data={xs: x_obs})
          inference_hmc.run(
              step_size=1.0, n_steps=5, auto_transform=True
          )
  
          # check that inferred posterior mean/variance is close to
          # that of the exact Beta posterior
          z_unconstrained = inference_hmc.transformations[z]
          qz_constrained = z_unconstrained.bijector.inverse(qz_samples)
          qz_mean, qz_var = sess.run(tf.nn.moments(qz_constrained, 0))
  
          true_posterior = Beta(
              1.0 + np.sum(x_obs), 1.0 + np.sum(1 - x_obs)
          )
          pz_mean, pz_var = sess.run(
              (true_posterior.mean(), true_posterior.variance())
          )
          self.assertAllClose(qz_mean, pz_mean, rtol=5e-2, atol=5e-2)
          self.assertAllClose(qz_var, pz_var, rtol=1e-2, atol=1e-2)
  
file_path: edward/tests/inferences/inference_auto_transform_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 Empirical, Gamma, Normal, PointMass, TransformedDistribution, Beta, Bernoulli
  from edward.util import transform
  from tensorflow.contrib.distributions import bijectors
label_desc: Use image node_id 8 for calling the test_inference_auto_transform_class obj's underlying member method code with example usage: obj.test_hmc_betabernoulli() without return types