code: def test_grad_switch():
      # This is a code snippet from the mailing list
      # It caused an assert to be raised due to the
      # switch op's grad method not handling integer
      # inputs correctly
  
      x = theano.tensor.matrix()
      c = theano.tensor.matrix()
  
      s = theano.tensor.switch(c, x, 0)
      l = s.sum()
  
      theano.gradient.grad(l, x)
  
imports: from __future__ import absolute_import, print_function, division
  import unittest
  import numpy
  import theano
  from theano.gof import FunctionGraph
  from theano import gof
  from theano.tests import unittest_tools
  from theano.scalar.basic import floats, float16, float32, float64, ints, int8, int32, complex64, uint8, ComplexError, IntDiv, TrueDiv, Composite, add, div_proxy, and_, eq, neq, invert, mul, Scalar, InRange, cast, constant, switch
  from theano.scalar.basic import true_div, inv, log, log2, log10, log1p, exp, exp2, expm1, sqrt, deg2rad, rad2deg, cos, arccos, sin, arcsin, tan, arctan, arctan2, cosh, arccosh, sinh, arcsinh, tanh, arctanh
label_desc: Use image node_id 4 for calling a global function with example usage: test_grad_switch() without return types