Merge branch 'chore_setOutput-should-be-const' into 'dev'

Update 'Operator::setOutput()' and overrides to be const

See merge request !164

include/aidge/operator/Operator.hpp

@@ -109,7 +109,7 @@ public:
      * The pointer itself is not changed, thus keeping the current connections.
      * @param inputIdx Index of the input to set.
      */
-    virtual void setOutput(const IOIndex_t outputIdx, const std::shared_ptr<Data>& data) = 0;
+    virtual void setOutput(const IOIndex_t outputIdx, const std::shared_ptr<Data>& data) const = 0;
     virtual std::shared_ptr<Data> getRawOutput(const IOIndex_t outputIdx) const = 0;
 
     std::shared_ptr<Hook> getHook(const std::string& hookName) {

include/aidge/operator/OperatorTensor.hpp

@@ -62,7 +62,7 @@ public:
     std::shared_ptr<Data> getRawInput(const IOIndex_t inputIdx) const override final;
 
     // output management
-    void setOutput(const IOIndex_t outputIdx, const std::shared_ptr<Data>& data) override;
+    void setOutput(const IOIndex_t outputIdx, const std::shared_ptr<Data>& data) const override;
     virtual const std::shared_ptr<Tensor>& getOutput(const IOIndex_t outputIdx) const;
     std::shared_ptr<Aidge::Data> getRawOutput(const Aidge::IOIndex_t outputIdx) const override final;
     ///////////////////////////////////////////////////

include/aidge/operator/Producer.hpp

@@ -115,7 +115,7 @@ public:
         // fmt::print("Basic Producer backward() function.\n");
     }
 
-    void setOutput(const Aidge::IOIndex_t outputIdx, const std::shared_ptr<Aidge::Data>& data) override {
+    void setOutput(const Aidge::IOIndex_t outputIdx, const std::shared_ptr<Aidge::Data>& data) const override {
         if (mAttributes->template getAttr<ProdAttr::Constant>()) {
             AIDGE_THROW_OR_ABORT(std::runtime_error, "Producer is constant, cannot update output.");
         }

python_binding/operator/pybind_Operator.cpp

@@ -37,7 +37,7 @@ void init_Operator(py::module& m){
     py::class_<Operator, std::shared_ptr<Operator>>(m, "Operator")
     .def("__repr__", &Operator::repr)
     .def("backend", &Operator::backend)
-    .def("set_output", py::overload_cast<const IOIndex_t, const std::shared_ptr<Data>&>(&Operator::setOutput), py::arg("outputIdx"), py::arg("data"))
+    .def("set_output", py::overload_cast<const IOIndex_t, const std::shared_ptr<Data>&>(&Operator::setOutput, py::const_), py::arg("outputIdx"), py::arg("data"))
     .def("set_input", py::overload_cast<const IOIndex_t, const std::shared_ptr<Data>&>(&Operator::setInput), py::arg("inputIdx"), py::arg("data"))
     .def("get_raw_output", &Operator::getRawOutput, py::arg("outputIdx"))
     .def("set_input", py::overload_cast<const IOIndex_t, const std::shared_ptr<Data>&>(&Operator::setInput), py::arg("inputIdx"), py::arg("data"))

python_binding/operator/pybind_OperatorTensor.cpp

@@ -28,7 +28,7 @@ void init_OperatorTensor(py::module& m){
     .def("get_output", &OperatorTensor::getOutput, py::arg("outputIdx"))
     .def("get_input", &OperatorTensor::getInput, py::arg("inputIdx"))
 
-    .def("set_output", (void (OperatorTensor::*)(const IOIndex_t, const std::shared_ptr<Data>&)) &OperatorTensor::setOutput, py::arg("outputIdx"), py::arg("data"))
+    .def("set_output", (void (OperatorTensor::*)(const IOIndex_t, const std::shared_ptr<Data>&) const) &OperatorTensor::setOutput, py::arg("outputIdx"), py::arg("data"))
     .def("set_input", (void (OperatorTensor::*)(const IOIndex_t, const std::shared_ptr<Data>&)) &OperatorTensor::setInput, py::arg("outputIdx"), py::arg("data"))
     .def("forward_dims", &OperatorTensor::forwardDims, py::arg("allow_data_dependency") = false)
     .def("dims_forwarded", &OperatorTensor::dimsForwarded)

src/operator/OperatorTensor.cpp

@@ -73,7 +73,7 @@ const std::shared_ptr<Aidge::Tensor>& Aidge::OperatorTensor::getInput(const Aidg
     return mInputs[inputIdx];
 }
 
-void Aidge::OperatorTensor::setOutput(const Aidge::IOIndex_t outputIdx, const std::shared_ptr<Aidge::Data>& data) {
+void Aidge::OperatorTensor::setOutput(const Aidge::IOIndex_t outputIdx, const std::shared_ptr<Aidge::Data>& data) const {
     AIDGE_ASSERT(data->type() == Tensor::Type, "{} Operator only accepts Tensors as inputs", type());
     AIDGE_ASSERT(outputIdx < nbOutputs(), "{} Operator has {} outputs", type(), nbOutputs());
     const auto& data_tensor = std::dynamic_pointer_cast<Tensor>(data);