removed a bad test

theano/tests/test_gradient.py

@@ -378,24 +378,6 @@ class test_grad(unittest.TestCase):
         # If we made it to here without an exception, then the
         # connection_pattern functionality worked correctly
 
-    def test_output_grad_on_int(self):
-        # If the g_cost argument is specified when x has a discrete dtype,
-        # g_cost should be equivalent to 0.
-        x = theano.tensor.iscalar('x')
-        y = x * 2
-
-        # Should work:
-        c0 = theano.tensor.constant(0)
-        theano.grad(y, x, g_cost=c0)
-        theano.grad(y, x, g_cost=y.zeros_like())
-        theano.grad(y, x, g_cost=y.zeros_like().astype('float64'))
-
-        # Should raise ValueError
-        c1 = theano.tensor.constant(1)
-        self.assertRaises(ValueError, theano.grad, y, x, g_cost=c1)
-        s0 = theano.shared(np.zeros((), dtype='int8'))
-        self.assertRaises(ValueError, theano.grad, y, x, g_cost=s0)
-
     def test_downcast_dtype(self):
         # Test that the gradient of a cost wrt a float32 variable does not
         # get upcasted to float64.