Fixed missing parameters

include/aidge/operator/AddImpl.hpp

@@ -79,9 +79,10 @@ class AddImpl_cpu : public OperatorImpl {
         return 0;
     }
 
-    NbElts_t getRequiredMemory(const IOIndex_t /*outputIdx*/, const std::vector<DimSize_t>& inputsSize) const override final {
+    NbElts_t getRequiredMemory(const IOIndex_t outputIdx, const std::vector<DimSize_t>& inputsSize) const override final {
         // Requires the whole tensors, regardless of available data on inputs
         assert(outputIdx == 0 && "operator has only one output");
+        (void) outputIdx;
 
         const auto& outputDims = std::static_pointer_cast<Tensor>(mOp.getOutput(0))->dims();
         return std::accumulate(outputDims.begin(), outputDims.end(), NbElts_t(1), std::multiplies<NbElts_t>());

src/operator/BatchNormImpl.cpp

@@ -34,10 +34,11 @@ Aidge::NbElts_t Aidge::BatchNormImpl2D_cpu::getNbRequiredProtected(IOIndex_t /*i
     return 0;
 }
 
-Aidge::NbElts_t Aidge::BatchNormImpl2D_cpu::getRequiredMemory(const Aidge::IOIndex_t /*outputIdx*/,
+Aidge::NbElts_t Aidge::BatchNormImpl2D_cpu::getRequiredMemory(const Aidge::IOIndex_t outputIdx,
                                                               const std::vector<Aidge::DimSize_t> &/*inputsSize*/) const {
     // Requires the whole tensors, regardless of available data on inputs
     assert(outputIdx == 0 && "operator has only one output");
+    (void) outputIdx;
 
     const auto &outputDims = std::static_pointer_cast<Tensor>(mOp.getOutput(0))->dims();
     return std::accumulate(outputDims.begin(), outputDims.end(), NbElts_t(1), std::multiplies<NbElts_t>());