code: def check_col2im(self, kh, kw, sy, sx, ph, pw, dy, dx, gpu):
      col_h = conv.get_conv_outsize(self.h, kh, sy, ph, d=dy)
      col_w = conv.get_conv_outsize(self.w, kw, sx, pw, d=dx)
      shape = (2, 3, kh, kw, col_h, col_w)
      col = numpy.random.uniform(-1, 1, shape).astype(self.dtype)
  
      if gpu:
          col_data = cuda.to_gpu(col)
      else:
          col_data = col
  
      img = conv.col2im(
          col_data, sy, sx, ph, pw, self.h, self.w, dy=dy, dx=dx
      )
      img = cuda.to_cpu(img)
      self.assertEqual(img.shape, (2, 3, self.h, self.w))
      for y in moves.range(self.h):
          for x in moves.range(self.w):
              v = numpy.zeros((2, 3), self.dtype)
              for ky in moves.range(kh):
                  for kx in moves.range(kw):
                      oy = (y + ph - ky * dy) // sy
                      ox = (x + pw - kx * dx) // sx
                      if (
                          (y + ph - ky * dy) % sy == 0
                          and (x + pw - kx * dx) % sx == 0
                          and 0 <= oy < col_h
                          and 0 <= ox < col_w
                      ):
                          v += col[:, :, ky, kx, oy, ox]
              testing.assert_allclose(img[:, :, y, x], v)
  
imports: import unittest
  import numpy
  from six import moves
  from chainer.backends import cuda
  from chainer import testing
  from chainer.testing import attr
  from chainer.utils import conv
label_desc: Use image node_id 2 for calling the TestCol2Im obj's underlying member method code with example usage: obj.check_col2im(kh, kw, sy, sx, ph, pw, dy, dx, gpu) without return types