code: def test_shape_Constant_tensor(self):
      # Tests convolution where the {image,filter}_shape is a Constant tensor.
  
      as_t = T.as_tensor_variable
      self.validate(
          (as_t(3), as_t(2), as_t(7), as_t(5)), (5, 2, 2, 3), "valid"
      )
      self.validate(as_t([3, 2, 7, 5]), (5, 2, 2, 3), "valid")
      self.validate(as_t((3, 2, 7, 5)), (5, 2, 2, 3), "valid")
      self.validate(
          (3, 2, 7, 5), (as_t(5), as_t(2), as_t(2), as_t(3)), "valid"
      )
      self.validate((3, 2, 7, 5), as_t([5, 2, 2, 3]), "valid")
      self.validate((3, 2, 7, 5), as_t((5, 2, 2, 3)), "valid")
      self.validate(as_t([3, 2, 7, 5]), as_t([5, 2, 2, 3]), "full")
  
imports: from __future__ import absolute_import, print_function, division
  import time
  from nose.plugins.skip import SkipTest
  import numpy
  import theano
  import theano.tensor
  from theano.tests import unittest_tools
  from theano.tensor.nnet import conv
  from theano.tensor.basic import _allclose, NotScalarConstantError
  from theano.tests.unittest_tools import attr
label_desc: Use image node_id 17 for calling the TestConv2D obj's underlying member method code with example usage: obj.test_shape_Constant_tensor() without return types