fix merge error

src/operator/ReduceMean.cpp

@@ -27,11 +27,12 @@
 
 const std::string Aidge::ReduceMean_Op::Type = "ReduceMean";
 
-Aidge::ReduceMean_Op::ReduceMean_Op(const std::vector<std::int32_t>& axes, Aidge::DimSize_t keep_dims)
+Aidge::ReduceMean_Op::ReduceMean_Op(const std::vector<std::int32_t>& axes, bool keep_dims, bool noop_with_empty_axes)
     : OperatorTensor(Type, {InputCategory::Data}, 1),
         mAttributes(std::make_shared<Attributes_>(
         attr<ReduceMeanAttr::Axes>(axes),
-        attr<ReduceMeanAttr::KeepDims>(keep_dims)))
+        attr<ReduceMeanAttr::KeepDims>(keep_dims),
+        attr<ReduceMeanAttr::NoopWithEmptyAxes>(noop_with_empty_axes)))
 {}
 
 Aidge::ReduceMean_Op::ReduceMean_Op(const Aidge::ReduceMean_Op& op)
@@ -96,8 +97,9 @@ void Aidge::ReduceMean_Op::setBackend(const std::string& name, Aidge::DeviceIdx_
 ////////////////////////////////////////////
 
 std::shared_ptr<Aidge::Node> Aidge::ReduceMean(const std::vector<std::int32_t> &axes,
-                                        Aidge::DimSize_t keep_dims,
+                                        bool keep_dims,
+                                        bool noop_with_empty_axes,
                                         const std::string& name) {
     AIDGE_ASSERT(axes.size()<=MaxDim, "Too many kernel dimensions required by ReduceMean, not supported");
-    return std::make_shared<Node>(std::make_shared<ReduceMean_Op>(axes, keep_dims), name);
+    return std::make_shared<Node>(std::make_shared<ReduceMean_Op>(axes, keep_dims, noop_with_empty_axes), name);
 }
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