diff --git a/include/aidge/operator/PTQMetaOps.hpp b/include/aidge/operator/PTQMetaOps.hpp
index 85bf0f6cfc876c15da1ee4f31809948c6efdbc98..33240fa2b4db0663f304cb5641bdbb8982ceaf3c 100644
--- a/include/aidge/operator/PTQMetaOps.hpp
+++ b/include/aidge/operator/PTQMetaOps.hpp
@@ -19,10 +19,8 @@
 
 namespace Aidge {
 
-    // XXX XXX XXX
     std::shared_ptr<Aidge::Node> BaseQuantizer(double scalingFactor, const std::string& name);
 
-
 /// @brief Quantizer acts as a meta-operator to handle scaling operations in the PTQ, replacing the Scaling Operator.
 /// This operator is composed of a sequence of [Mul] -> [Clip] -> [Round] operations.
 ///
diff --git a/src/PTQ/PTQ.cpp b/src/PTQ/PTQ.cpp
index c79cd4eba1292fd4a86531df508bae46c5f7734c..4c581feeb48c3ca0a819c47d75edb701f8b5499a 100644
--- a/src/PTQ/PTQ.cpp
+++ b/src/PTQ/PTQ.cpp
@@ -209,20 +209,6 @@ static int getInputIndex(std::shared_ptr<Node> node, std::shared_ptr<Node> paren
 
 void multiplyScalingFactor(std::shared_ptr<Aidge::Node> scalingNode, double coeff)
 {
-/*
-    AIDGE_ASSERT(node->type() == "Mul" && hasAttr(node, "isProducerScaling") || hasAttr(node, "isScaling"),
-        "Cannot update the scaling factor on Node of type {} with no scaling tag", node->type());
-    
-    auto scalingFactorTensor = std::static_pointer_cast<OperatorTensor>(node->getOperator())->getInput(1);
-
-    std::shared_ptr<Tensor> fallback;
-    const Tensor& localTensor = scalingFactorTensor->refCastFrom(fallback, DataType::Float64, "cpu");
-    double previousScalingFactor = localTensor.get<double>(0);
-
-    std::shared_ptr<Tensor> resultTensor = std::make_shared<Tensor>(Array1D<double, 1> {previousScalingFactor * coeff});
-    node->input(1).first->getOperator()->setOutput(0, resultTensor);
-*/
-
     auto metaOperatorOp = std::static_pointer_cast<MetaOperator_Op> (scalingNode->getOperator());
 
     // Get the Mul node from the microGraph
@@ -416,27 +402,6 @@ static DataType getDataType(std::shared_ptr<Node> node)
     return op->getOutput(0)->dataType();
 }
 
-/*
-static std::shared_ptr<Aidge::Node> createScalingNode(std::string name, std::vector<std::string> attributes, double value)
-{
-    std::shared_ptr<Node> scalingNode = Mul(name);
-  
-    for (std::string a : attributes)
-        addAttr(scalingNode, a);
-    
-    // Add the scaling factor as a producer of the node
-
-    std::shared_ptr<Tensor> scalingFactorTensor = std::make_shared<Tensor>(Array1D<double, 1> {value});
-    std::shared_ptr<Node> scalingFactorProducer = addProducer(scalingNode, 1, {1}, "ScalingFactor"); 
-
-    scalingFactorProducer->getOperator()->setOutput(0, scalingFactorTensor);
-
-    // XXX graphView->add(scalingNode);
-
-    return scalingNode;
-}
-*/
-
 // XXX double check this !
 static bool nodeHasBias(std::shared_ptr<Node> node)
 {
@@ -469,17 +434,6 @@ void insertScalingBelowProducer(std::shared_ptr<Node> producerNode, double ratio
 
 void insertScalingBelowProducer(std::shared_ptr<Node> producerNode, std::shared_ptr<GraphView> graphView)
 {
-/*
-    std::string scalingNodeName = makeUniqueName(producerNode->name() + "_ProducerScaling", graphView);
-    std::shared_ptr<Node> scalingNode = createScalingNode(scalingNodeName, {"isProducerScaling"}, scalingFactor);
-
-    scalingNode->getOperator()->setDataType(DataType::Float64); // getDataType(parentNode)
-    scalingNode->getOperator()->setBackend(determineBackend(producerNode));
-
-    insertChildren(producerNode, scalingNode, graphView);
-    graphView->add(scalingNode->getParent(1)); // add the scaling factor producer
-*/
-
     std::string scalingNodeName = makeUniqueName(producerNode->name() + "_ProducerScaling", graphView);
     std::shared_ptr<Node> scalingNode = BaseQuantizer(1.0, scalingNodeName);;
     addAttr(scalingNode, "isProducerScaling");
@@ -489,9 +443,6 @@ void insertScalingBelowProducer(std::shared_ptr<Node> producerNode, std::shared_
     scalingNode->getOperator()->setBackend(determineBackend(producerNode)); // XXX use the producer parent instead ???
 
     insertChildren(producerNode, scalingNode, graphView);
-
-    // XXX XXX XXX is it needed ?
-    // graphView->add(scalingNode->getParent(1));
 }
 
 void insertProducerScalingNodes(std::shared_ptr<GraphView> graphView)
@@ -536,7 +487,6 @@ void insertResidualScalingNodes(std::shared_ptr<GraphView> graphView)
                     std::string residualNodeName = makeUniqueName(parentNode->name() + "_Res", graphView);
                     
                     // XXX XXX XXX 
-                    // std::shared_ptr<Node> residualNode = createScalingNode(residualNodeName, {"isScaling", "isResidual"}, 1.0);
                     std::shared_ptr<Node> residualNode = BaseQuantizer(1.0, residualNodeName);
                     addAttr(residualNode, "isScaling");
                     addAttr(residualNode, "isResidual");
@@ -545,9 +495,6 @@ void insertResidualScalingNodes(std::shared_ptr<GraphView> graphView)
                     residualNode->getOperator()->setBackend(determineBackend(parentNode));
 
                     graphView->insertParent(node, residualNode, i, 0, 0);
-
-                    // XXX XXX XXX is it needed ? no more !
-                    // graphView->add(residualNode->getParent(1)); 
                 }
             }
         }
@@ -570,7 +517,6 @@ void insertScalingNodes(std::shared_ptr<GraphView> graphView)
             std::string scalingNodeName = makeUniqueName(parentNode->name() + "_Scaling", graphView);
 
             // XXX XXX XXX
-            // std::shared_ptr<Node> scalingNode = createScalingNode(scalingNodeName, {"isScaling"}, 1.0);
             std::shared_ptr<Node> scalingNode = BaseQuantizer(1.0, scalingNodeName);
             addAttr(scalingNode, "isScaling");
 
@@ -584,9 +530,6 @@ void insertScalingNodes(std::shared_ptr<GraphView> graphView)
                 graphView->add(scalingNode);
             }
             
-            // XXX XXX XXX is it needed ? no more
-            // graphView->add(scalingNode->getParent(1)); 
-
             // In the case the node is a non-linear operator we want to add an extra
             // scaling node before it to rescale it's input ...
 
@@ -595,7 +538,6 @@ void insertScalingNodes(std::shared_ptr<GraphView> graphView)
                 std::string prevScalingNodeName = makeUniqueName(parentNode->name() + "_PrevScaling", graphView);
 
                 // XXX XXX XXX
-                // std::shared_ptr<Node> prevScalingNode = createScalingNode(prevScalingNodeName, {"isScaling"}, 1.0);
                 std::shared_ptr<Node> prevScalingNode = BaseQuantizer(1.0, prevScalingNodeName);
                 addAttr(prevScalingNode, "isScaling");
 
@@ -603,9 +545,6 @@ void insertScalingNodes(std::shared_ptr<GraphView> graphView)
                 prevScalingNode->getOperator()->setBackend(determineBackend(parentNode));
 
                 graphView->insertParent(parentNode, prevScalingNode, 0, 0, 0);
-
-                // XXX XXX XXX is it needed ? no more !
-                // graphView->add(prevScalingNode->getParent(1));
             }
         }
     }
@@ -646,8 +585,7 @@ void normalizeParameters(std::shared_ptr<GraphView> graphView)
 
             double ratio = 1.0 / getTensorAbsoluteMax(weightTensor);
 
-            //rescaleTensor(weightTensor, ratio);
-            // XXX XXX XXX insertScalingBelowProducer(node->getParent(1), ratio, graphView);
+            // rescaleTensor(weightTensor, ratio);
             multiplyScalingFactor(node->getParent(1), ratio);
 
             // Accumulate the ratio
@@ -665,7 +603,6 @@ void normalizeParameters(std::shared_ptr<GraphView> graphView)
             {
                 std::shared_ptr<Tensor> biasTensor = getBiasTensor(node);
                 //rescaleTensor(biasTensor, accumulatedRatios[node] );
-                // XXX XXX XXX insertScalingBelowProducer(node->getParent(2), accumulatedRatios[node], graphView);
                 multiplyScalingFactor(node->getParent(2), accumulatedRatios[node]);
             }
         }