Added LRN operator

include/aidge/operator/LRN.hpp

+/********************************************************************************
+ * Copyright (c) 2023 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
+ *
+ ********************************************************************************/
+
+#ifndef AIDGE_CORE_OPERATOR_LRN_H_
+#define AIDGE_CORE_OPERATOR_LRN_H_
+
+#include <memory>
+#include <vector>
+
+#include "aidge/backend/OperatorImpl.hpp"
+#include "aidge/graph/Node.hpp"
+#include "aidge/operator/OperatorTensor.hpp"
+#include "aidge/operator/Producer.hpp"
+#include "aidge/utils/Registrar.hpp"
+#include "aidge/utils/StaticAttributes.hpp"
+#include "aidge/utils/Types.h"
+
+namespace Aidge {
+enum class LRNAttr { Alpha, Beta, Bias, Size };
+
+class LRN_Op : public OperatorTensor,
+                public Registrable<LRN_Op,
+                                   std::string,
+                                   std::function<std::shared_ptr<OperatorImpl>(const LRN_Op&)>> {
+
+public:
+    static const std::string Type;
+
+private:
+    using Attributes_ = StaticAttributes<LRNAttr, float, float, float, std::int32_t>;
+    template <LRNAttr e> using attr = typename Attributes_::template attr<e>;
+    const std::shared_ptr<Attributes_> mAttributes;
+
+public:
+    LRN_Op() = delete;
+
+    LRN_Op(std::int32_t size);
+
+    /**
+     * @brief Copy-constructor. Copy the operator attributes and its output tensor(s), but not its input tensors (the new operator has no input associated).
+     * @param op Operator to copy.
+     */
+    LRN_Op(const LRN_Op& op);
+
+    /**
+     * @brief Clone the operator using its copy-constructor.
+     * @see Operator::LRN_Op
+     */
+    std::shared_ptr<Operator> clone() const override;
+
+    void setBackend(const std::string& name, DeviceIdx_t device = 0) override final;
+    std::set<std::string> getAvailableBackends() const override;
+
+    inline std::shared_ptr<Attributes> attributes() const override { return mAttributes; }
+    inline float& alpha() const noexcept { return mAttributes -> getAttr<LRNAttr::Alpha>(); }
+    inline float& beta() const noexcept { return mAttributes -> getAttr<LRNAttr::Beta>(); }
+    inline float& bias() const noexcept { return mAttributes -> getAttr<LRNAttr::Bias>(); }
+    inline std::int32_t& size() const noexcept { return mAttributes -> getAttr<LRNAttr::Size>(); }
+
+    static const std::vector<std::string> getInputsName(){
+        return {"data_input"};
+    }
+    static const std::vector<std::string> getOutputsName(){
+        return {"data_output"};
+    }
+};
+
+std::shared_ptr<Node> LRN(std::int32_t size, const std::string& name = "");
+} // namespace Aidge
+
+namespace {
+template <>
+const char *const EnumStrings<Aidge::LRNAttr>::data[] = {"alpha", "beta", "bias", "size"};
+}
+
+#endif /* AIDGE_CORE_OPERATOR_LRN_H_ */

python_binding/operator/pybind_LRN.cpp

+/********************************************************************************
+ * Copyright (c) 2023 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 <string>
+
+#include "aidge/data/Tensor.hpp"
+#include "aidge/operator/LRN.hpp"
+#include "aidge/operator/OperatorTensor.hpp"
+
+namespace py = pybind11;
+namespace Aidge {
+
+void init_LRN(py::module& m) {
+    py::class_<LRN_Op, std::shared_ptr<LRN_Op>, OperatorTensor>(m, "LRNOp", py::multiple_inheritance())
+        .def(py::init<std::int32_t>(), py::arg("size"))
+        .def_static("get_inputs_name", &LRN_Op::getInputsName)
+        .def_static("get_outputs_name", &LRN_Op::getOutputsName)
+        .def_readonly_static("Type", &LRN_Op::Type);
+    declare_registrable<LRN_Op>(m, "LRNOp");
+    m.def("LRN", &LRN, py::arg("size"), py::arg("name") = "");
+}
+}  // namespace Aidge

python_binding/pybind_core.cpp

@@ -52,6 +52,7 @@ void init_GlobalAveragePooling(py::module&);
 void init_GridSample(py::module&);
 void init_Heaviside(py::module&);
 void init_Identity(py::module&);
+void init_LRN(py::module&);
 void init_LeakyReLU(py::module&);
 void init_MatMul(py::module&);
 void init_MaxPooling(py::module&);
@@ -144,6 +145,7 @@ void init_Aidge(py::module& m) {
     init_GridSample(m);
     init_Heaviside(m);
     init_Identity(m);
+    init_LRN(m);
     init_LeakyReLU(m);
     init_MatMul(m);
     init_MaxPooling(m);

src/operator/LRN.cpp

+/********************************************************************************
+ * Copyright (c) 2023 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 "aidge/operator/LRN.hpp"
+
+#include <memory>
+#include <string>
+
+#include "aidge/data/Tensor.hpp"
+#include "aidge/utils/Registrar.hpp"
+#include "aidge/utils/Types.h"
+
+const std::string Aidge::LRN_Op::Type = "LRN";
+
+Aidge::LRN_Op::LRN_Op(std::int32_t size)
+    : OperatorTensor(Type, {InputCategory::Data}, 1),
+    mAttributes(std::make_shared<Attributes_>(
+        attr<LRNAttr::Alpha>(0.0001),
+        attr<LRNAttr::Beta>(0.75),
+        attr<LRNAttr::Bias>(1.0),
+        attr<LRNAttr::Size>(size)))
+{}
+
+Aidge::LRN_Op::LRN_Op(const Aidge::LRN_Op& op)
+    : OperatorTensor(op),
+        mAttributes(op.mAttributes)
+{
+    if (op.mImpl){
+        SET_IMPL_MACRO(LRN_Op, *this, op.backend());
+    }else{
+        mImpl = nullptr;
+    }
+}
+
+std::shared_ptr<Aidge::Operator> Aidge::LRN_Op::clone() const {
+    return std::make_shared<LRN_Op>(*this);
+}
+
+void Aidge::LRN_Op::setBackend(const std::string& name, Aidge::DeviceIdx_t device) {
+    mImpl = Registrar<LRN_Op>::create(name)(*this);
+    mOutputs[0]->setBackend(name, device);
+}
+
+std::set<std::string> Aidge::LRN_Op::getAvailableBackends() const {
+    return Registrar<LRN_Op>::getKeys();
+}
+
+////////////////////////////////////////////////
+
+std::shared_ptr<Aidge::Node> Aidge::LRN(std::int32_t size, const std::string& name) {
+    return std::make_shared<Node>(std::make_shared<LRN_Op>(size), name);
+}
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