code: def setUp(self):
      param_shape = self.param_shape
      dtype = self.dtype
      ndim = self.ndim
  
      gamma = numpy.random.uniform(0.5, 1, param_shape).astype(dtype)
      beta = numpy.random.uniform(-1, 1, param_shape).astype(dtype)
      shape = (5,) + param_shape + (2,) * ndim
      x = numpy.random.uniform(-1, 1, shape).astype(dtype)
      mean = numpy.random.uniform(-1, 1, param_shape).astype(dtype)
      var = numpy.random.uniform(0.5, 1, param_shape).astype(dtype)
  
      gy = numpy.random.uniform(-1, 1, shape).astype(dtype)
      ggx = numpy.random.uniform(-1, 1, shape).astype(dtype)
      gggamma = numpy.random.uniform(-1, 1, param_shape).astype(dtype)
      ggbeta = numpy.random.uniform(-1, 1, param_shape).astype(dtype)
      ggmean = numpy.random.uniform(-1, 1, param_shape).astype(dtype)
      ggvar = numpy.random.uniform(-1, 1, param_shape).astype(dtype)
  
      self.decay = 0.0
      self.expander = (None, Ellipsis) + (None,) * ndim
  
      self.inputs = [x, gamma, beta, mean, var]
      self.grad_outputs = [gy]
      self.grad_grad_inputs = [ggx, gggamma, ggbeta, ggmean, ggvar]
  
      self.check_forward_options = {"atol": 1e-4, "rtol": 1e-3}
      self.check_backward_options = {"dtype": numpy.float64}
      self.check_double_backward_options = {"dtype": numpy.float64}
      if self.dtype == numpy.float16:
          self.check_forward_options = {"atol": 1e-2, "rtol": 1e-2}
          self.check_backward_options = {
              "dtype": numpy.float64,
              "atol": 1e-2,
              "rtol": 1e-2,
          }
          self.check_double_backward_options = {
              "dtype": numpy.float64,
              "atol": 1e-2,
              "rtol": 1e-2,
          }
  
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 1 for calling the TestFixedBatchNormalization obj's underlying member method code with example usage: obj.setUp() without return types