code: def test_basic(self):
      # Tests that basic correlations work for odd and even
      # dimensions of image and filter shapes, as well as rectangular
      # images and filters.
  
      border_modes = [
          "valid",
          "full",
          "half",
          (1, 1),
          (2, 1),
          (1, 2),
          (3, 3),
          1,
      ]
      img_shapes = [
          (2, 2, 3, 3),
          (3, 2, 8, 8),
          (3, 2, 7, 5),
          (3, 2, 7, 5),
          (3, 2, 8, 8),
          (3, 2, 7, 5),
      ]
      fil_shapes = [
          (2, 2, 2, 2),
          (4, 2, 5, 5),
          (5, 2, 2, 3),
          (5, 2, 3, 2),
          (4, 2, 5, 5),
          (5, 2, 2, 3),
      ]
  
      for border_mode in border_modes:
          for img, fil in zip(img_shapes, fil_shapes):
              self.validate(img, fil, border_mode, verify_grad=False)
  
      # Very slow on with 'full' or 'half'
      self.validate(
          (1, 10, 213, 129),
          (46, 10, 212, 1),
          "valid",
          verify_grad=False,
      )
  
imports: from __future__ import absolute_import, print_function, division
  from nose.plugins.skip import SkipTest
  from nose.plugins.attrib import attr
  from nose.tools import assert_equals
  import numpy
  from six import integer_types
  import theano
  import theano.tensor
  from theano.tests import unittest_tools
  from theano.tensor.nnet import corr, conv
  from theano.tensor.nnet.tests.test_abstract_conv import Grouped_conv_noOptim, TestUnsharedConv
  from theano.tensor.nnet.tests.test_abstract_conv import TestAsymmetricPadding, TestCausalConv
label_desc: Use image node_id 3 for calling the TestCorr2D obj's underlying member method code with example usage: obj.test_basic() without return types