ScalingImpl.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 <cassert>
#include <numeric>    // std::accumulate
#include <functional> // std::multiplies

#include "aidge/operator/Scaling.hpp"

#include "aidge/backend/cpu/operator/ScalingImpl.hpp"
#include "aidge/backend/cpu/operator/ScalingImpl_forward_kernels.hpp"
#include "aidge/utils/Types.h"
#include "aidge/backend/cpu/data/GetCPUPtr.h"
#include <vector>

Aidge::NbElts_t Aidge::ScalingImpl_cpu::getNbRequiredProtected(const Aidge::IOIndex_t /*inputIdx*/) const {
    // this implementation can be in-place
    return 0;
}

void Aidge::ScalingImpl_cpu::forward() {
    assert(std::static_pointer_cast<Tensor>(mOp.getRawInput(0)) && "missing input #0");

    // Find the correct kernel type
    auto kernelFunc = Registrar<ScalingImplForward_cpu>::create({
        std::static_pointer_cast<Tensor>(mOp.getRawInput(0))->dataType(),
        std::static_pointer_cast<Tensor>(mOp.getRawOutput(0))->dataType()});

    // Call kernel
    kernelFunc(dynamic_cast<const Scaling_Op&>(mOp).getStaticAttributes(),
        std::static_pointer_cast<Tensor>(mOp.getRawInput(0))->size(),
        getCPUPtr(mOp.getRawInput(0)),
        getCPUPtr(mOp.getRawOutput(0)));
}