code: def setUp(self):
      shape = (5, 3) + (2,) * self.ndim
      aggr_shape = (3,)
      self.running_mean = numpy.random.uniform(
          -1, 1, aggr_shape
      ).astype(self.dtype)
      self.running_var = numpy.random.uniform(
          1e-3, 1, aggr_shape
      ).astype(self.dtype)
  
      axis = (0,) + tuple(six.moves.range(2, self.ndim + 2))
      expander = (None, Ellipsis) + (None,) * self.ndim
  
      if self.dtype == numpy.float16:
          self.check_forward_options = {"atol": 0.02, "rtol": 0.02}
  
      self.shape = shape
      self.aggr_shape = aggr_shape
      self.axis = axis
      self.expander = expander
  
imports: import numpy
  import six
  import chainer
  from chainer.functions.normalization import batch_renormalization
  from chainer import testing
  import chainerx
label_desc: Use image node_id 1 for calling the TestBatchRenormalizationForward obj's underlying member method code with example usage: obj.setUp() without return types