code: def check_forward_consistency(self):
      x_cpu = chainer.Variable(self.x)
      y_cpu = self.link(x_cpu)
      self.assertEqual(y_cpu.data.dtype, numpy.float32)
  
      with testing.assert_warns(DeprecationWarning):
          self.link.to_gpu()
      x_gpu = chainer.Variable(cuda.to_gpu(self.x))
      y_gpu = self.link(x_gpu)
      self.assertEqual(y_gpu.data.dtype, numpy.float32)
  
      testing.assert_allclose(y_cpu.data, y_gpu.data.get())
  
imports: import unittest
  import numpy
  import six.moves.cPickle
  import chainer
  from chainer.backends import cuda
  from chainer import gradient_check
  from chainer import links
  from chainer import testing
  from chainer.testing import attr
  from chainer.utils import conv
label_desc: Use image node_id 4 for calling the TestDilatedConvolution2D obj's underlying member method code with example usage: obj.check_forward_consistency() without return types