AddImpl.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_CPU_OPERATOR_ADDIMPL_H_
#define AIDGE_CPU_OPERATOR_ADDIMPL_H_

#include "aidge/backend/OperatorImpl.hpp"
#include "aidge/operator/Add.hpp"
#include "aidge/utils/Registrar.hpp"
#include "aidge/utils/Types.h"
#include <memory>
#include <vector>

namespace Aidge {
// class Add_Op<2>;

// compute kernel registry for forward and backward
template <DimIdx_t NUM>
class AddImplForward_cpu;
template <DimIdx_t NUM>
class AddImplBackward_cpu;

template <>
class AddImplForward_cpu<1>
    : public Registrable<AddImplForward_cpu<1>, std::tuple<DataType, DataType>, void(const std::size_t, const void*, void*)> {};
template <>
class AddImplBackward_cpu<1>
    : public Registrable<AddImplBackward_cpu<1>, std::tuple<DataType, DataType>, void(const std::size_t, const void*, void*)> {};

template <>
class AddImplForward_cpu<2> : public Registrable<AddImplForward_cpu<2>, std::tuple<DataType, DataType, DataType>,
                                                     void(const std::size_t, const void*, const void*, void*)> {};
template <>
class AddImplBackward_cpu<2> : public Registrable<AddImplBackward_cpu<2>, std::tuple<DataType, DataType, DataType>,
                                                      void(const std::size_t, const void*, const void*, void*)> {};

template <>
class AddImplForward_cpu<3> : public Registrable<AddImplForward_cpu<3>, std::tuple<DataType, DataType, DataType, DataType>,
                                                     void(const std::size_t, const void*, const void*, const void*, void*)> {
};
template <>
class AddImplBackward_cpu<3>
    : public Registrable<AddImplBackward_cpu<3>, std::tuple<DataType, DataType, DataType, DataType>,
                         void(const std::size_t, const void*, const void*, const void*, void*)> {};

template <DimIdx_t NUM>
class AddImpl_cpu : public OperatorImpl {
public:
    AddImpl_cpu(const Add_Op<NUM>& op) : OperatorImpl(op) {}

    static std::unique_ptr<AddImpl_cpu<NUM>> create(const Add_Op<NUM>& op) {
        return std::make_unique<AddImpl_cpu<NUM>>(op);
    }
};

template <>
class AddImpl_cpu<1> : public OperatorImpl {
public:
    AddImpl_cpu(const Add_Op<1>& op) : OperatorImpl(op) {}

    static std::unique_ptr<AddImpl_cpu<1>> create(const Add_Op<1>& op) {
        return std::make_unique<AddImpl_cpu<1>>(op);
    }

    NbElts_t getNbRequiredProtected(const IOIndex_t /*inputIdx*/) const override final;
    void forward() override;
};

template <>
class AddImpl_cpu<2> : public OperatorImpl {
public:
    AddImpl_cpu(const Add_Op<2>& op) : OperatorImpl(op) {}

    static std::unique_ptr<AddImpl_cpu<2>> create(const Add_Op<2>& op) {
        return std::make_unique<AddImpl_cpu<2>>(op);
    }

    NbElts_t getNbRequiredProtected(const IOIndex_t inputIdx) const override final;
    void forward() override;
};

template <>
class AddImpl_cpu<3> : public OperatorImpl {
public:
    AddImpl_cpu(const Add_Op<3>& op) : OperatorImpl(op) {}

    static std::unique_ptr<AddImpl_cpu<3>> create(const Add_Op<3>& op) {
        return std::make_unique<AddImpl_cpu<3>>(op);
    }

    NbElts_t getNbRequiredProtected(const IOIndex_t /*inputIdx*/) const override final;
    void forward() override;
};

namespace {
static Registrar<Add_Op<1>> registrarAddImpl1I_cpu("cpu", Aidge::AddImpl_cpu<1>::create);
static Registrar<Add_Op<2>> registrarAddImpl2I_cpu("cpu", Aidge::AddImpl_cpu<2>::create);
static Registrar<Add_Op<3>> registrarAddImpl3I_cpu("cpu", Aidge::AddImpl_cpu<3>::create);
}  // namespace
}  // namespace Aidge

#endif /* AIDGE_CPU_OPERATOR_ADDIMPL_H_ */