code: def check_kl(self, dist1, dist2):
      kl = chainer.kl_divergence(dist1, dist2).data
      if isinstance(kl, cuda.ndarray):
          kl = kl.get()
  
      sample = dist1.sample(300000)
      mc_kl = dist1.log_prob(sample).data - dist2.log_prob(sample).data
      if isinstance(mc_kl, cuda.ndarray):
          mc_kl = mc_kl.get()
      mc_kl = numpy.nanmean(mc_kl, axis=0)
  
      testing.assert_allclose(kl, mc_kl, atol=1e-2, rtol=1e-2)
  
imports: import unittest
  import numpy
  import chainer
  from chainer.backends import cuda
  from chainer import distributions
  from chainer import testing
  from chainer.testing import attr
label_desc: Use image node_id 1 for calling the TestKLDivergence obj's underlying member method code with example usage: obj.check_kl(dist1, dist2) without return types