Check that the op is one of those that we support before replacing reduce Ops.

theano/sandbox/gpuarray/opt.py

 import copy
 import theano, numpy
-from theano import tensor
+from theano import tensor, scalar
 from theano.compile import optdb
 from theano.gof import (local_optimizer, EquilibriumDB, SequenceDB, ProxyDB,
                         Optimizer, toolbox, DestroyHandler,
@@ -176,6 +176,8 @@ def local_gpua_subtensor(node):
 @register_opt()
 @op_lifter(tensor.CAReduce)
 def local_gpua_careduce(node):
+    if (isinstance(node.op.scalar_op, scalar.basic.Add) or
+        isinstance(node.op.scalar_op, scalar.basic.Mul)):
         return GpuCAReduce(node.op.scalar_op, axis=node.op.axis,
                            dtype=getattr(node.op, 'dtype', None),
                            acc_dtype=getattr(node.op, 'acc_dtype', None))