Add Scaling python binding

include/aidge/operator/Scaling.hpp

@@ -27,9 +27,10 @@ enum class ScalingAttr {
     scalingFactor, quantizedNbBits, isOutputUnsigned
 };
 
-class Scaling_Op : public OperatorTensor,
-    public Registrable<Scaling_Op, std::string, std::unique_ptr<OperatorImpl>(const Scaling_Op&)>,
-    public StaticAttributes<ScalingAttr, float, size_t, bool> {
+class Scaling_Op 
+    : public OperatorTensor,
+      public Registrable<Scaling_Op, std::string, std::shared_ptr<OperatorImpl>(const Scaling_Op&)>,
+      public StaticAttributes<ScalingAttr, float, size_t, bool> {
 public:
     static const std::string Type;
 
@@ -84,7 +85,11 @@ inline std::shared_ptr<Node> Scaling(float scalingFactor = 1.0f, const std::stri
     return std::make_shared<Node>(std::make_shared<Scaling_Op>(scalingFactor), name);
 }
 */
-inline std::shared_ptr<Node> Scaling(float scalingFactor = 1.0f, std::size_t quantizedNbBits=8, bool isOutputUnsigned=true, const std::string& name = "") {
+inline std::shared_ptr<Node> Scaling(float scalingFactor = 1.0f, 
+                                     std::size_t quantizedNbBits=8, 
+                                     bool isOutputUnsigned=true, 
+                                     const std::string& name = "") 
+{
     return std::make_shared<Node>(std::make_shared<Scaling_Op>(scalingFactor,quantizedNbBits, isOutputUnsigned), name);
 }
 } // namespace Aidge

python_binding/operator/pybind_Scaling.cpp

+/********************************************************************************
+ * Copyright (c) 2024 CEA-List
+ *
+ * This program and the accompanying materials are made available under the
+ * terms of the Eclipse Public License 2.0 which is available at
+ * http://www.eclipse.org/legal/epl-2.0.
+ *
+ * SPDX-License-Identifier: EPL-2.0
+ *
+ ********************************************************************************/
+
+#include <pybind11/pybind11.h>
+
+#include "aidge/data/Tensor.hpp"
+#include "aidge/operator/Scaling.hpp"
+#include "aidge/operator/OperatorTensor.hpp"
+
+namespace py = pybind11;
+
+namespace Aidge {
+
+void init_Scaling(py::module& m) 
+{
+    py::class_<Scaling_Op, std::shared_ptr<Scaling_Op>, Attributes, OperatorTensor>(m, "ScalingOp", py::multiple_inheritance())
+    .def("get_inputs_name", &Scaling_Op::getInputsName)
+    .def("get_outputs_name", &Scaling_Op::getOutputsName)
+    .def("attributes_name", &Scaling_Op::staticGetAttrsName);
+    declare_registrable<Scaling_Op>(m, "ScalingOp");
+    m.def("Scaling", &Scaling, py::arg("scaling_factor") = 1.0f, py::arg("nb_bits") = 8, py::arg("is_output_unsigned") = true, py::arg("name") = "");
+}
+
+}  // namespace Aidge

python_binding/pybind_core.cpp

@@ -51,6 +51,7 @@ void init_Pow(py::module&);
 void init_ReduceMean(py::module&);
 void init_ReLU(py::module&);
 void init_Reshape(py::module&);
+void init_Scaling(py::module&);
 void init_Sigmoid(py::module&);
 void init_Slice(py::module&);
 void init_Softmax(py::module&);
@@ -117,6 +118,7 @@ void init_Aidge(py::module& m) {
     init_ReduceMean(m);
     init_ReLU(m);
     init_Reshape(m);
+    init_Scaling(m);
     init_Sigmoid(m);
     init_Slice(m);
     init_Softmax(m);

src/operator/Scaling.cpp

@@ -20,7 +20,7 @@
 
 const std::string Aidge::Scaling_Op::Type = "Scaling";
 
-void Aidge::Scaling_Op::setBackend(const std::string& name, Aidge::DeviceIdx_t device) {
-    mImpl = Registrar<Scaling_Op>::create(name)(*this);
+void Aidge::Scaling_Op::setBackend(const std::string& name, DeviceIdx_t device) {
+    SET_IMPL_MACRO(Scaling_Op, *this, name);
     mOutputs[0]->setBackend(name, device);
 }
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