code: def setUp(self):
      class Model(chainer.Chain):
          def __init__(self, **kwargs):
              super(Model, self).__init__()
              with self.init_scope():
                  self.bn = L.BatchNormalization(5, **kwargs)
  
          def __call__(self, x):
              return self.bn(x)
  
      self.model = Model(**self.kwargs)
      self.x = input_generator.increasing(2, 5)
  
imports: import chainer
  import chainer.functions
  import chainer.links
  from chainer import testing
  import numpy
  from onnx_chainer.testing import input_generator
  from onnx_chainer_tests.helper import get_initializer_names
  from onnx_chainer_tests.helper import ONNXModelTest
label_desc: Use image node_id 1 for calling the TestBatchNormalization obj's underlying member method code with example usage: obj.setUp() and returns: self