chore: use forwardStep attribute in ProdConso model

include/aidge/operator/Stack.hpp

@@ -18,7 +18,7 @@ class StackProdConso : public ProdConso {
     Elts_t getRequiredMemory(
         const IOIndex_t outputIdx,
         const std::vector<DimSize_t> &inputsSize) const override final;
-    void resetConsummerProducer() override final;
+    void resetConsummerProducer() override;
 };
 
 class StackOpImpl : public OperatorImpl {

src/operator/Stack.cpp

@@ -32,11 +32,15 @@ Elts_t StackProdConso::getRequiredMemory(
     const StackOp &op = dynamic_cast<const StackOp &>(mOp);
     // The produced data after one forward pass is simply the input size,
     // we do not produce the whole output tensor everytime.
-    return Elts_t::DataElts(op.getInput(inputIdx)->size());
+    if (op.forwardStep() <= op.maxElements()) {
+        return Elts_t::DataElts(op.getInput(inputIdx)->size());
+    } else {
+        return Elts_t::NoneElts();
+    }
 }
 
 void StackProdConso::resetConsummerProducer() {
-    ProdConso::updateConsummerProducer();
+    ProdConso::resetConsummerProducer();
 
     const StackOp &op = dynamic_cast<const StackOp &>(mOp);
     op.forwardStep() = 0;
@@ -94,7 +98,6 @@ bool Aidge::StackOp::forwardDims(bool /*allowDataDependency*/) {
     return false;
 }
 
-
 void StackOp::setBackend(const std::string &name, DeviceIdx_t device) {
     if (Registrar<StackOp>::exists({name})) {
         SET_IMPL_MACRO(StackOp, *this, name);