code: def setUp(self):
      dtype = self.dtype
      x = numpy.random.uniform(-1, 1, (2, 3)).astype(dtype)
      gy = numpy.random.uniform(-1, 1, (2, 3)).astype(dtype)
      ggx = numpy.random.uniform(-1, 1, (2, 3)).astype(dtype)
  
      self.inputs = [x]
      self.grad_outputs = [gy]
      self.grad_grad_inputs = [ggx]
  
      self.check_backward_options = {"dtype": numpy.float64}
      self.check_double_backward_options = {"dtype": numpy.float64}
      if self.dtype == numpy.float16:
          self.check_backward_options = {
              "dtype": numpy.float64,
              "atol": 1e-3,
              "rtol": 1e-2,
          }
          self.check_double_backward_options = {
              "dtype": numpy.float64,
              "atol": 1e-3,
              "rtol": 1e-2,
          }
  
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
label_desc: Use image node_id 1 for calling the TestDropout obj's underlying member method code with example usage: obj.setUp() without return types