more strict before doing an optimization.

theano/sandbox/cuda/opt.py

@@ -505,11 +505,11 @@ def local_gpu_subtensor(node):
 def local_gpu_advanced_subtensor1(node):
     if node.op == gpu_from_host:
         host_input = node.inputs[0]
-        if host_input.owner and isinstance(host_input.owner.op, tensor.AdvancedSubtensor1):
+        if host_input.owner and host_input.owner.op.__class__ is tensor.AdvancedSubtensor1:
             x = host_input.owner.inputs[0]
             coords = host_input.owner.inputs[1:]
             return [GpuAdvancedSubtensor1()(gpu_from_host(x), *coords)]
-    if isinstance(node.op, tensor.AdvancedSubtensor1):
+    if node.op.__class__ is tensor.AdvancedSubtensor1:
         x  = node.inputs[0]
         coords = node.inputs[1:]
         if x.owner and x.owner.op == host_from_gpu: