Add Atan operator to aidge_core.

include/aidge/operator/Atan.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_ATAN_H_
+#define AIDGE_CORE_OPERATOR_ATAN_H_
+
+#include <cassert>
+#include <memory>
+#include <vector>
+
+#include "aidge/utils/Registrar.hpp"
+#include "aidge/operator/OperatorTensor.hpp"
+#include "aidge/backend/OperatorImpl.hpp"
+#include "aidge/data/Tensor.hpp"
+#include "aidge/graph/Node.hpp"
+#include "aidge/utils/Types.h"
+
+namespace Aidge {
+
+class Atan_Op : public OperatorTensor,
+    public Registrable<Atan_Op, std::string, std::function<std::shared_ptr<OperatorImpl>(const Atan_Op&)>> {
+public:
+    static const std::string Type;
+
+    Atan_Op();
+
+    Atan_Op(const Atan_Op& 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;
+
+    static const std::vector<std::string> getInputsName(){
+        return {"data_input"};
+    }
+    static const std::vector<std::string> getOutputsName(){
+        return {"data_output"};
+    }
+};
+
+std::shared_ptr<Node> Atan(const std::string& name = "");
+}
+
+#endif /* AIDGE_CORE_OPERATOR_ATAN_H_ */

python_binding/operator/pybind_Atan.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 "aidge/data/Tensor.hpp"
+#include "aidge/operator/Atan.hpp"
+#include "aidge/operator/OperatorTensor.hpp"
+
+namespace py = pybind11;
+namespace Aidge {
+
+void init_Atan(py::module& m) {
+    py::class_<Atan_Op, std::shared_ptr<Atan_Op>, OperatorTensor>(m, "AtanOp", py::multiple_inheritance())
+    .def(py::init<>())
+    .def_static("get_inputs_name", &Atan_Op::getInputsName)
+    .def_static("get_outputs_name", &Atan_Op::getOutputsName);
+
+    declare_registrable<Atan_Op>(m, "AtanOp");
+
+    m.def("Atan", &Atan, py::arg("name") = "");
+}
+}  // namespace Aidge

python_binding/pybind_core.cpp

@@ -31,6 +31,7 @@ void init_OperatorTensor(py::module&);
 void init_Add(py::module&);
 void init_And(py::module&);
 void init_ArgMax(py::module&);
+void init_Atan(py::module&);
 void init_AvgPooling(py::module&);
 void init_BatchNorm(py::module&);
 void init_Concat(py::module&);
@@ -113,6 +114,7 @@ void init_Aidge(py::module& m) {
     init_Add(m);
     init_And(m);
     init_ArgMax(m);
+    init_Atan(m);
     init_AvgPooling(m);
     init_BatchNorm(m);
     init_Concat(m);

src/operator/Atan.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/Atan.hpp"
+
+#include <memory>
+#include <string>
+
+#include "aidge/data/Tensor.hpp"
+#include "aidge/utils/Registrar.hpp"
+#include "aidge/utils/Types.h"
+
+const std::string Aidge::Atan_Op::Type = "Atan";
+
+Aidge::Atan_Op::Atan_Op() : OperatorTensor(Type, {InputCategory::Data}, 1) {}
+
+Aidge::Atan_Op::Atan_Op(const Aidge::Atan_Op& op)
+    : OperatorTensor(op)
+{
+    if (op.mImpl){
+        SET_IMPL_MACRO(Atan_Op, *this, op.backend());
+    } else {
+        mImpl = nullptr;
+    }
+}
+
+std::shared_ptr<Aidge::Operator> Aidge::Atan_Op::clone() const {
+    return std::make_shared<Atan_Op>(*this);
+}
+
+
+void Aidge::Atan_Op::setBackend(const std::string& name, Aidge::DeviceIdx_t device) {
+    mImpl = Registrar<Atan_Op>::create(name)(*this);
+    mOutputs[0]->setBackend(name, device);
+}
+
+std::set<std::string> Aidge::Atan_Op::getAvailableBackends() const {
+    return Registrar<Atan_Op>::getKeys();
+}
+
+///////////////////////////////////////////////////
+
+std::shared_ptr<Aidge::Node> Aidge::Atan(const std::string& name) {
+    return std::make_shared<Node>(std::make_shared<Atan_Op>(), name);
+}