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Learning backend cuda

Merged Houssem ROUIS requested to merge hrouis/aidge_backend_cpu:learning_backend_cuda into dev
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/********************************************************************************
* Copyright (c) 2024 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_ANDIMPL_H_
#define AIDGE_CPU_OPERATOR_ANDIMPL_H_
#include "aidge/backend/OperatorImpl.hpp"
#include "aidge/operator/And.hpp"
#include "aidge/utils/Registrar.hpp"
#include "aidge/utils/Types.h"
#include "aidge/backend/cpu/data/GetCPUPtr.h"
#include <memory>
#include <vector>
namespace Aidge {
// compute kernel registry for forward and backward
class AndImplForward_cpu
: public Registrable<AndImplForward_cpu, std::tuple<DataType, DataType, DataType>, void(const std::vector<std::size_t>&, const std::vector<std::size_t>&, const std::vector<std::size_t>&, const void*, const void*,void*)> {
};
class AndImplBackward_cpu
: public Registrable<AndImplBackward_cpu, std::tuple<DataType, DataType, DataType>, void(const std::vector<std::size_t>&, const std::vector<std::size_t>&, const std::vector<std::size_t>&, const void*, const void*, void*)> {
};
class AndImpl_cpu : public OperatorImpl {
public:
AndImpl_cpu(const And_Op& op) : OperatorImpl(op, "cpu") {}
static std::unique_ptr<AndImpl_cpu> create(const And_Op& op) {
return std::make_unique<AndImpl_cpu>(op);
}
Elts_t getNbRequiredProtected(const IOIndex_t inputIdx) const override final;
void forward() override;
};
namespace {
static Registrar<And_Op> registrarAndImpl_cpu("cpu", Aidge::AndImpl_cpu::create);
}
} // namespace Aidge
#endif /* AIDGE_CPU_OPERATOR_ANDIMPL_H_ */
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