/******************************************************************************** * 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_DIV_H_ #define AIDGE_CORE_OPERATOR_DIV_H_ #include <memory> #include <string> #include <vector> #include "aidge/utils/Registrar.hpp" #include "aidge/operator/OperatorTensor.hpp" #include "aidge/backend/OperatorImpl.hpp" #include "aidge/graph/Node.hpp" #include "aidge/utils/Types.h" namespace Aidge { class Div_Op : public OperatorTensor, public Registrable<Div_Op, std::string, std::shared_ptr<OperatorImpl>(const Div_Op&)> { public: static const std::string Type; Div_Op() : OperatorTensor(Type, 2, 0, 1) {} /** * @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. */ Div_Op(const Div_Op& op) : OperatorTensor(op) { if (op.mImpl) { SET_IMPL_MACRO(Div_Op, *this, op.backend()); } else { mImpl = nullptr; } } /** * @brief Clone the operator using its copy-constructor. * @see Operator::Div_Op */ std::shared_ptr<Operator> clone() const override { return std::make_shared<Div_Op>(*this); } bool forwardDims(bool allowDataDependency = false) override final; void setBackend(const std::string& name, DeviceIdx_t device = 0) override; static const std::vector<std::string> getInputsName(){ return {"data_input_1", "data_input_2"}; } static const std::vector<std::string> getOutputsName(){ return {"data_output"}; } }; inline std::shared_ptr<Node> Div(const std::string& name = "") { return std::make_shared<Node>(std::make_shared<Div_Op>(), name); } } #endif /* AIDGE_CORE_OPERATOR_DIV_H_ */