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/********************************************************************************
* 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 "aidge/backend/cpu/operator/ErfImpl.hpp"
#include <memory>
#include "aidge/backend/cpu/operator/ErfImpl_forward_kernels.hpp"
#include "aidge/data/Tensor.hpp"
#include "aidge/operator/Erf.hpp"
#include "aidge/utils/Types.h"
Aidge::NbElts_t Aidge::ErfImpl_cpu::getNbRequiredProtected(const Aidge::IOIndex_t /*inputIdx*/) const {
// this implementation can be in-place
return 0;
}
void Aidge::ErfImpl_cpu::forward() {
const Erf_Op& op = static_cast<const Erf_Op&>(mOp);
// Find the correct kernel type
auto kernelFunc = Registrar<ErfImplForward_cpu>::create({
op.getInput(0)->dataType(),
op.getOutput(0)->dataType()
});
kernelFunc(
op.getInput(0)->size(),
op.getInput(0)->getImpl()->rawPtr(),
op.getOutput(0)->getImpl()->rawPtr()
);