code: def test_col2im_consistency(self):
      col = conv.im2col_cpu(self.x, 3, 3, 2, 2, 2, 2, dy=2, dx=2)
      h, w = self.x.shape[2:]
      im_cpu = conv.col2im_cpu(col, 2, 2, 2, 2, h, w, dy=2, dx=2)
      im_gpu = conv.col2im_gpu(
          cuda.to_gpu(col), 2, 2, 2, 2, h, w, dy=2, dx=2
      )
      testing.assert_allclose(im_cpu, im_gpu.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 3 for calling the TestDilatedConvolution2DParameterShapePlaceholder obj's underlying member method code with example usage: obj.test_col2im_consistency() without return types