code: def make_bernoulli_dist(self, is_gpu=False):
      p = numpy.random.uniform(0, 1, self.shape).astype(numpy.float32)
      params = self.encode_params({"p": p}, is_gpu)
      return distributions.Bernoulli(**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 3 for calling the TestKLDivergence obj's underlying member method code with example usage: obj.make_bernoulli_dist(is_gpu) and returns: distributions