code: def setUp(self):
      in_channels = 3
      out_channels = 2
      kh, kw = (3, 3)
      self.stride = 2
      self.pad = 2
      self.dilate = 2
      self.use_cudnn = "always"
      self.W = numpy.random.normal(
          0,
          numpy.sqrt(1.0 / (kh * kw * in_channels)),
          (out_channels, in_channels, kh, kw),
      ).astype(self.W_dtype)
      self.b = numpy.random.uniform(-1, 1, out_channels).astype(
          self.x_dtype
      )
  
      self.x = numpy.random.uniform(-1, 1, (2, 3, 4, 3)).astype(
          self.x_dtype
      )
      if self.cover_all:
          self.gy = numpy.random.uniform(-1, 1, (2, 2, 3, 2)).astype(
              self.x_dtype
          )
      else:
          self.gy = numpy.random.uniform(-1, 1, (2, 2, 2, 2)).astype(
              self.x_dtype
          )
      self.check_forward_options = {}
      self.check_backward_options = {"atol": 1e-4, "rtol": 1e-3}
      if self.x_dtype == numpy.float16 or self.W_dtype == numpy.float16:
          self.check_forward_options = {"atol": 5e-4, "rtol": 5e-3}
          self.check_backward_options = {"atol": 5e-3, "rtol": 5e-2}
  
imports: import unittest
  import numpy
  import chainer
  from chainer import backend
  from chainer.backends import cuda
  import chainer.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 TestDilatedConvolution2DFunction obj's underlying member method code with example usage: obj.setUp() without return types