code: def setUp(self):
      batches = 2
      in_channels_a_group = 3
      out_channels_a_group = 2
      in_channels = in_channels_a_group * self.groups
      out_channels = out_channels_a_group * self.groups
      kh, kw = (3, 3)
      self.stride = 2
      self.pad = (int(kh / 2) * self.dilate, int(kw / 2) * self.dilate)
      self.x = cuda.cupy.random.uniform(
          -1, 1, (batches, in_channels, 4, 3)
      ).astype(self.dtype)
      self.W = cuda.cupy.random.normal(
          0,
          numpy.sqrt(1.0 / (kh * kw * in_channels_a_group)),
          (out_channels, in_channels_a_group, kh, kw),
      ).astype(self.dtype)
      self.gy = cuda.cupy.random.uniform(
          -1, 1, (batches, out_channels, 2, 2)
      ).astype(self.dtype)
      with chainer.using_config("use_cudnn", self.use_cudnn):
          self.should_call_cudnn = chainer.should_use_cudnn(">=auto")
          if self.dilate > 1 and cuda.cuda.cudnn.getVersion() < 6000:
              self.should_call_cudnn = False
          if self.groups > 1 and cuda.cuda.cudnn.getVersion() < 7000:
              self.should_call_cudnn = False
  
imports: import unittest
  import numpy
  import chainer
  from chainer.backends import cuda
  import chainer.functions
  from chainer import testing
  from chainer.testing import attr
  from chainer.testing import backend
label_desc: Use image node_id 1 for calling the TestConvolution2DCudnnCall obj's underlying member method code with example usage: obj.setUp() without return types