complete the PTQ float to double migration

src/PTQ/CLE.cpp

@@ -49,7 +49,7 @@ static void rescaleTensor(std::shared_ptr<Tensor> tensor, double scaling)
     mulOp.setDataType(tensor->dataType());
     mulOp.setBackend(tensor->backend());
 
-    std::shared_ptr<Aidge::Tensor> scalingTensor = std::make_shared<Aidge::Tensor>(Aidge::Array1D<float, 1> {scaling});
+    std::shared_ptr<Aidge::Tensor> scalingTensor = std::make_shared<Aidge::Tensor>(Aidge::Array1D<double, 1> {scaling});
     scalingTensor->setDataType(tensor->dataType());
     scalingTensor->setBackend(tensor->backend());
 
@@ -120,12 +120,7 @@ void crossLayerEqualization(std::shared_ptr<GraphView> graphView, double targetD
         if (isAffine(node))
             affineNodeVector.push_back(node);
 
-    if (affineNodeVector.empty()) {
-        Log::notice("No affine nodes found in the network. CLE cannot be applied.");
-        return;
-    }
     double maxRangeDelta;
-    int iteration = 0;
 
     do
     {

src/PTQ/PTQ.cpp

@@ -72,13 +72,13 @@ bool checkArchitecture(std::shared_ptr<GraphView> graphView)
     return true;
 }
 
-static void rescaleTensor(std::shared_ptr<Tensor> tensor, float scaling)
+static void rescaleTensor(std::shared_ptr<Tensor> tensor, double scaling)
 {
     auto mulOp = Mul_Op();
     mulOp.setDataType(tensor->dataType());
     mulOp.setBackend(tensor->backend());
 
-    std::shared_ptr<Aidge::Tensor> scalingTensor = std::make_shared<Aidge::Tensor>(Aidge::Array1D<float, 1> {scaling});
+    std::shared_ptr<Aidge::Tensor> scalingTensor = std::make_shared<Aidge::Tensor>(Aidge::Array1D<double, 1> {scaling});
     scalingTensor->setDataType(tensor->dataType());
     scalingTensor->setBackend(tensor->backend());