code: def setUp(self):
      class Model(chainer.Chain):
          def __call__(self, x):
              gamma = np.ones(x.shape[1:], dtype=x.dtype)
              beta = np.zeros(x.shape[1:], dtype=x.dtype)
              return F.batch_normalization(x, gamma, beta)
  
      self.model = Model()
      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 TestBatchNormalizationFunction obj's underlying member method code with example usage: obj.setUp() and returns: F