code: def setUp(self):
      in_channels = 3
      out_channels = 2
      kh, kw = (3, 3)
      self.stride = 2
      self.pad = 2
      self.dilate = 2
      self.x = cuda.cupy.random.uniform(-1, 1, (2, 3, 4, 3)).astype(
          self.dtype
      )
      self.W = cuda.cupy.random.normal(
          0,
          numpy.sqrt(1.0 / (kh * kw * in_channels)),
          (out_channels, in_channels, kh, kw),
      ).astype(self.dtype)
      self.gy = cuda.cupy.random.uniform(-1, 1, (2, 2, 2, 2)).astype(
          self.dtype
      )
      with chainer.using_config("use_cudnn", self.use_cudnn):
          self.expect = chainer.should_use_cudnn(">=auto")
          if cuda.cuda.cudnn.getVersion() < 6000:
              self.expect = False
  
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 TestDilatedConvolution2DCudnnCall obj's underlying member method code with example usage: obj.setUp() without return types