code: def make_log_normal_dist(self, is_gpu=False):
      mu = numpy.random.uniform(-1, 1, self.shape).astype(numpy.float32)
      sigma = numpy.exp(numpy.random.uniform(-1, 1, self.shape)).astype(
          numpy.float32
      )
      params = self.encode_params({"mu": mu, "sigma": sigma}, is_gpu)
      return distributions.LogNormal(**params)
  
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 12 for calling the TestKLDivergence obj's underlying member method code with example usage: obj.make_log_normal_dist(is_gpu) and returns: distributions