code: def test_neibs2images_grad(self):
      # say we had images of size (2, 3, 10, 10)
      # then we extracted 2x2 neighbors on this, we get (2 * 3 * 5 * 5, 4)
      neibs_val = np.random.rand(150, 4)
  
      def fn(neibs):
          return neibs2images(neibs, (2, 2), (2, 3, 10, 10))
  
      unittest_tools.verify_grad(
          fn, [neibs_val], mode=self.mode, eps=0.1
      )
  
imports: from __future__ import absolute_import, print_function, division
  import numpy
  import unittest
  import theano
  from theano import shared, function
  import theano.tensor
  from theano.tensor.nnet.neighbours import images2neibs, neibs2images, Images2Neibs
  from theano.tests import unittest_tools
  from theano import change_flags
label_desc: Use image node_id 14 for calling the T_Images2Neibs obj's underlying member method code with example usage: obj.test_neibs2images_grad() and returns: neibs2images