code: def setUp(self):
      C = self.n_channels // self.groups
      dtype = self.dtype
      self.mean = numpy.random.uniform(-1, 1, (self.groups, C)).astype(
          dtype
      )
      self.projection = numpy.random.uniform(
          0.5, 1, (self.groups, C, C)
      ).astype(dtype)
  
      check_forward_options = {"atol": 1e-4, "rtol": 1e-3}
      check_backward_options = {"atol": 1e-4, "rtol": 1e-3}
      if self.dtype == numpy.float16:
          check_forward_options = {"atol": 1e-2, "rtol": 1e-2}
          check_backward_options = {"atol": 1e-2, "rtol": 1e-2}
      if self.dtype == numpy.float32:
          check_backward_options = {"atol": 1e-2, "rtol": 1e-2}
      self.check_forward_options = check_forward_options
      self.check_backward_options = check_backward_options
  
imports: import numpy
  from chainer import functions
  from chainer import testing
label_desc: Use image node_id 1 for calling the TestFixedDecorrelatedBatchNormalization obj's underlying member method code with example usage: obj.setUp() without return types