code: def setUp(self):
      uniform = numpy.random.uniform
      self.data = [
          uniform(0, 1, shape).astype(self.dtype)
          for shape in self.in_shapes
      ]
      self.grads = [
          uniform(0, 1, self.out_shape).astype(self.dtype)
          for _ in range(len(self.in_shapes))
      ]
      self.gg = [
          uniform(0, 1, shape).astype(self.dtype)
          for shape in self.in_shapes
      ]
  
      self.check_backward_options = {}
      self.check_double_backward_options = {}
      if self.dtype == numpy.float16:
          self.check_backward_options = {"atol": 1e-2, "rtol": 1e-1}
          self.check_double_backward_options = {
              "atol": 1e-2,
              "rtol": 1e-1,
          }
  
imports: import unittest
  import numpy
  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.utils import type_check
  import chainerx
label_desc: Use image node_id 1 for calling the TestBroadcast obj's underlying member method code with example usage: obj.setUp() without return types