code: def create_batch(self, param_shape, x_shape):
      dtype = numpy.float32
      gamma = numpy.random.uniform(0.5, 1, param_shape).astype(dtype)
      beta = numpy.random.uniform(-1, 1, param_shape).astype(dtype)
      x = numpy.random.uniform(-1, 1, x_shape).astype(dtype)
      args = [x, gamma, beta]
      return args
  
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 TestBatchNormalizationWarning obj's underlying member method code with example usage: obj.create_batch(param_shape, x_shape) and returns: args