code: def test_grad_int_value(self):
      w = theano.shared(np.random.rand(10))
      b = theano.shared(np.random.rand())
      params = [w, b]
  
      x = tensor.vector()
      y = tensor.scalar()
  
      score = w.dot(x) + b
      correct = score * y > 0
  
      loss = ifelse(correct, 0, 1)
      [
          (param, param - 0.5 * tensor.grad(cost=loss, wrt=param))
          for param in params
      ]
  
imports: from __future__ import absolute_import, print_function, division
  import unittest
  import numpy
  from nose.plugins.skip import SkipTest
  from six.moves import reduce
  import theano
  from theano import tensor
  import theano.ifelse
  from theano.ifelse import IfElse, ifelse
  from theano.tests import unittest_tools
label_desc: Use image node_id 23 for calling the test_ifelse obj's underlying member method code with example usage: obj.test_grad_int_value() without return types