code: def test_neibs(self):
      for shape, pshape in [
          ((10, 7, 18, 18), (2, 2)),
          ((10, 7, 6, 18), (3, 2)),
          ((5, 7, 66, 66), (33, 33)),
          ((5, 7, 68, 66), (34, 33)),
      ]:
          for border in ["valid", "ignore_borders"]:
              for dtype in self.dtypes:
                  images = shared(
                      np.arange(np.prod(shape), dtype=dtype).reshape(
                          shape
                      )
                  )
                  neib_shape = T.as_tensor_variable(pshape)
  
                  f = function(
                      [],
                      images2neibs(images, neib_shape, mode=border),
                      mode=self.mode,
                  )
  
                  # print images.get_value(borrow=True)
                  neibs = f()
                  # print neibs
                  g = function(
                      [],
                      neibs2images(neibs, neib_shape, images.shape),
                      mode=self.mode,
                  )
                  assert any(
                      [
                          isinstance(node.op, self.op)
                          for node in f.maker.fgraph.toposort()
                      ]
                  )
  
                  # print g()
                  assert np.allclose(images.get_value(borrow=True), g())
  
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 1 for calling the T_Images2Neibs obj's underlying member method code with example usage: obj.test_neibs() without return types