Correction of the test for local_csm_grad_c optimization

theano/sparse/opt.py

@@ -22,6 +22,7 @@ local_usmm = gof.opt.PatternSub(
     (usmm, (theano.tensor.neg, 'alpha'), 'x', 'y', 'z'))
 register_specialize(local_usmm, name="local_usmm")
 
+
 # This is tested in tests/test_opt.py:test_local_csm_grad_c
 @gof.local_optimizer([csm_grad(None)])
 def local_csm_grad_c(node):

theano/sparse/tests/test_opt.py

@@ -45,7 +45,7 @@ def test_local_csm_grad_c():
         cost = tensor.sum(DenseFromSparse()(CS(data, indices, indptr, shape)))
         f = theano.function(
             [data, indices, indptr, shape],
-            cost,
+            tensor.grad(cost, data),
             mode=mode)
         assert not any(isinstance(node.op, CSMGrad) for node
                        in f.maker.env.toposort())