correction of grad method for DimShuffle

theano/tensor/elemwise.py

@@ -390,8 +390,11 @@ PyArray_SetBaseObject(%(res)s, (PyObject*)%(basename)s);
         # Do not make the DimShuffle inplace as an optimization at the
         # canonicalization optimization phase will remove the inplace.
         # The inplace will be reintroduced automatically later in the graph.
-        return [DimShuffle(gz.type.broadcastable, grad_order)(
-            Elemwise(scalar.identity)(gz))]
+        if 'int' in inp[0].dtype:
+            return [DisconnectedType()()]
+        else:
+            return [DimShuffle(gz.type.broadcastable, grad_order)(
+                Elemwise(scalar.identity)(gz))]
 
 
 class DimShufflePrinter: