code: def test_kl(self):
      # Compare it to chainer.functions.gaussian_kl_divergence
      standard = distribution.GaussianDistribution(
          mean=np.zeros((self.batch_size, self.ndim), dtype=np.float32),
          var=np.ones((self.batch_size, self.ndim), dtype=np.float32),
      )
      kl = self.distrib.kl(standard)
      chainer_kl = chainer.functions.gaussian_kl_divergence(
          self.distrib.mean, self.distrib.ln_var
      )
      np.testing.assert_allclose(
          kl.array.sum(), chainer_kl.array, rtol=1e-5
      )
  
imports: import unittest
  import chainer
  from chainer import testing
  from chainer.testing import condition
  import numpy
  import scipy.stats
  from chainerrl import distribution
label_desc: Use image node_id 9 for calling the TestGaussianDistribution obj's underlying member method code with example usage: obj.test_kl() without return types