diff --git a/src/PTQ/PTQ.cpp b/src/PTQ/PTQ.cpp
index 6c678d99ef99a295ee5cfbaae8ad7a8d0f13fbd4..00956e944d1ab87b09e2ac03fda46ea3d8ded482 100644
--- a/src/PTQ/PTQ.cpp
+++ b/src/PTQ/PTQ.cpp
@@ -383,7 +383,6 @@ void insertScalingBelowProducer(std::shared_ptr<Node> producerNode, std::shared_
     std::string scalingNodeName = makeUniqueName(producerNode->name() + "_ProducerScaling", graphView);
     std::shared_ptr<Node> scalingNode = BaseQuantizer(1.0, scalingNodeName);;
     addAttr(scalingNode, "isProducerScaling");
-    // XXX XXX XXX addAttr(scalingNode, "isActivationScaling") ? NO !!!
 
     scalingNode->getOperator()->setDataType(DataType::Float64); // getDataType(parentNode)
     scalingNode->getOperator()->setBackend(determineBackend(producerNode)); // XXX use the producer parent instead ???
@@ -617,37 +616,6 @@ void normalizeParameters(std::shared_ptr<GraphView> graphView)
     }
 }
 
-// XXX TODO : take care of the CUDA backend for this too !!!
-std::unordered_map<std::shared_ptr<Node>, double> computeRanges(std::shared_ptr<GraphView> graphView, std::shared_ptr<Tensor> inputTensor, bool scalingNodesOnly)
-{
-    std::unordered_map<std::shared_ptr<Node>, double> valueRanges;
-
-    SequentialScheduler scheduler(graphView);
-    scheduler.resetScheduling();
-
-    // Inference ... 
-
-    scheduler.forward(true, {inputTensor});
-
-    // Gather ranges ...
-
-    std::set<std::shared_ptr<Node>> nodeSet = graphView->getNodes();
-    for (std::shared_ptr<Node> node : nodeSet)
-    {
-        if ((scalingNodesOnly && hasAttr(node, "isActivationScaling")) || (!scalingNodesOnly && (node->type() != "Producer")))
-        {
-            std::shared_ptr<Operator> nodeOperator = node->getOperator();
-            std::shared_ptr<Tensor> valueTensor = std::static_pointer_cast<Tensor> (nodeOperator->getRawOutput(0));
-            double range = getTensorAbsoluteMax(valueTensor);
-
-            // Associate the value to the scaling node ...
-            valueRanges.insert(std::make_pair(node, range));
-        }
-    }
-
-    return valueRanges;
-}
-
 std::unordered_map<std::shared_ptr<Node>, double> computeRanges(std::shared_ptr<GraphView> graphView, std::vector<std::shared_ptr<Tensor>> inputDataSet, bool scalingNodesOnly, bool useCuda)
 {
     std::unordered_map<std::shared_ptr<Node>, double> valueRanges;