entropy_test.py 文件源码

python
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项目:DeepLearning_VirtualReality_BigData_Project 作者: rashmitripathi 项目源码 文件源码
def test_default_entropy_falls_back_on_sample_if_analytic_not_available(self):
    # Tested by showing we get a good answer that is not exact.
    with self.test_session():
      # NormalNoEntropy is like a Normal, but does not have .entropy method, so
      # we are forced to fall back on sample entropy.
      dist_no_entropy = NormalNoEntropy(loc=1.11, scale=2.22)
      dist_yes_entropy = distributions.Normal(loc=1.11, scale=2.22)

      mc_entropy = entropy.entropy_shannon(
          dist_no_entropy, n=1000, form=entropy.ELBOForms.sample, seed=0)
      exact_entropy = dist_yes_entropy.entropy()

      self.assertEqual(exact_entropy.get_shape(), mc_entropy.get_shape())

      # Relative tolerance (rtol) chosen 2 times as large as minimim needed to
      # pass.
      self.assertAllClose(exact_entropy.eval(), mc_entropy.eval(), rtol=0.01)

      # Make sure there is some error, proving we used samples
      self.assertLess(0.0001, math_ops.abs(exact_entropy - mc_entropy).eval())
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