code: def setUp(self):
      uniform = numpy.random.uniform
      self.data = uniform(0, 1, self.in_shape).astype(self.dtype)
      self.grad = uniform(0, 1, self.out_shape).astype(self.dtype)
      self.check_backward_options = {}
      if self.dtype == numpy.float16:
          self.check_backward_options = {
              "eps": 2**-5,
              "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 TestBroadcastTo obj's underlying member method code with example usage: obj.setUp() without return types