code: def test_output_broadcast_tensor(self):
      v = theano.tensor.fvector("v")
      c, r = VecAsRowAndCol()(v)
      f = theano.function([v], [c, r])
  
      v_val = self.rng.randn(5).astype("float32")
      f(v_val)
  
imports: from __future__ import absolute_import, print_function, division
  import sys
  import unittest
  from nose.plugins.skip import SkipTest
  import numpy
  from six import reraise
  from theano import config
  from theano import gof
  import theano
  from theano.compat import exc_message
  from theano.compile import debugmode
  import theano.tensor
  from theano.tests import unittest_tools
label_desc: Use image node_id 4 for calling the Test_preallocated_output obj's underlying member method code with example usage: obj.test_output_broadcast_tensor() without return types