code: def test_backward_where_logit_has_infinite_values(self):
      self.logit[...] = numpy.inf
      with numpy.errstate(invalid="ignore"):
          log_prob = distributions.bernoulli._bernoulli_log_prob(
              self.logit, self.x
          )
  
      # just confirm that the backward method runs without raising error.
      log_prob.backward()
  
imports: import unittest
  import numpy
  from chainer import backend
  from chainer.backends import cuda
  from chainer import distributions
  from chainer import gradient_check
  from chainer import testing
  from chainer.testing import attr
label_desc: Use image node_id 11 for calling the TestBernoulliLogProb obj's underlying member method code with example usage: obj.test_backward_where_logit_has_infinite_values() without return types