/******************************************************************************** * 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_CONVIMPL_H_ #define AIDGE_CPU_OPERATOR_CONVIMPL_H_ #include <array> #include <memory> #include <tuple> #include <vector> #include "aidge/backend/OperatorImpl.hpp" #include "aidge/operator/Conv.hpp" #include "aidge/utils/Registrar.hpp" #include "aidge/utils/Types.h" namespace Aidge { // class Conv_Op; // compute kernel registry for forward and backward class ConvImpl2DForward_cpu : public Registrable<ConvImpl2DForward_cpu, std::tuple<DataType, DataType, DataType, DataType>, void(const Conv_Op<2>::Attrs &, const std::array<DimSize_t, 4> &, const void *, const void *, const void *, void *)> {}; class ConvImpl2DBackward_cpu : public Registrable<ConvImpl2DBackward_cpu, std::tuple<DataType, DataType, DataType, DataType>, void(const Conv_Op<2>::Attrs &, const std::array<DimSize_t, 4> &, const void *, const void *, const void *, void *)> {}; class ConvImpl2D_cpu : public OperatorImpl { public: ConvImpl2D_cpu(const Conv_Op<2>& op) : OperatorImpl(op) {} static std::unique_ptr<ConvImpl2D_cpu> create(const Conv_Op<2> &op) { return std::make_unique<ConvImpl2D_cpu>(op); } public: NbElts_t getNbRequiredProtected(const IOIndex_t inputIdx) const override final; void forward() override; }; namespace { // add cpu backend to Conv_Op<2> implementation registry static Registrar<Conv_Op<2>> registrarConvImpl2D_cpu("cpu", Aidge::ConvImpl2D_cpu::create); } // namespace } // namespace Aidge #endif /* AIDGE_CPU_OPERATOR_CONVIMPL_H_ */