fixed bug where I turned a type instead of a variable

theano/sparse/basic.py

@@ -787,7 +787,7 @@ class CSM(gof.Op):
         #unpack the data vector and wrap it as a 1d TensorType
         g_data = csm_grad(self.kmap)(x_data, x_indices, x_indptr, x_shape,
             g_data, g_indices, g_indptr, g_shape)
-        return [g_data, DisconnectedType()(), DisconnectedType()(), DisconnectedType()]
+        return [g_data, DisconnectedType()(), DisconnectedType()(), DisconnectedType()()]
 
     def infer_shape(self, node, shapes):
         if self.kmap is None: