code: def test_numpy_2d(self):
      for shp0 in [(2, 3)]:
          x = tensor.tensor(
              dtype="floatX", broadcastable=(False,) * len(shp0)
          )
          a = np.asarray(self.rng.rand(*shp0)).astype(config.floatX)
          for shp1 in [(6, 7)]:
              if len(shp0) + len(shp1) == 2:
                  continue
              y = tensor.tensor(
                  dtype="floatX", broadcastable=(False,) * len(shp1)
              )
              f = function([x, y], kron(x, y))
              b = self.rng.rand(*shp1).astype(config.floatX)
              out = f(a, b)
              assert np.allclose(out, np.kron(a, b))
  
imports: from __future__ import absolute_import, print_function, division
  import unittest
  import numpy
  import numpy.linalg
  from numpy.testing import assert_array_almost_equal
  from numpy.testing import dec, assert_array_equal, assert_allclose
  from numpy import inf
  import itertools
  import theano
  from theano import tensor, function, grad
  from theano.tensor.basic import _allclose
  from theano.tests.test_rop import break_op
  from theano.tests import unittest_tools
  from theano import config
  from theano.tensor.slinalg import Cholesky, cholesky, CholeskyGrad, Solve, solve, Eigvalsh, EigvalshGrad, eigvalsh, expm, kron
  from theano.tests.unittest_tools import attr
  from nose.plugins.skip import SkipTest
  from nose.tools import assert_raises
label_desc: Use image node_id 3 for calling the TestKron obj's underlying member method code with example usage: obj.test_numpy_2d() without return types