code: def forward(self):
      return functions.batch_normalization(
          *[chainer.Variable(i) for i in self.args],
          eps=self.eps,
          running_mean=self.mean,
          running_var=self.var,
      )
  
imports: import unittest
  import warnings
  import numpy
  import six
  import chainer
  from chainer.backends import cuda
  from chainer import functions
  from chainer import gradient_check
  from chainer import testing
  from chainer.testing import attr
  from chainer.testing import backend
label_desc: Use image node_id 2 for calling the TestBatchNormalizationCudnnCall obj's underlying member method code with example usage: obj.forward() and returns: functions