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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/data/GetCPUPtr.h"
#include "aidge/data/Tensor.hpp"
#include "aidge/utils/ErrorHandling.hpp"
#include "aidge/utils/Types.h"
#include "aidge/backend/cpu/operator/SqrtImpl.hpp"
#include "aidge/backend/cpu/operator/SqrtImpl_forward_kernels.hpp"
#include "aidge/backend/cpu/operator/SqrtImpl_backward_kernels.hpp"
Aidge::NbElts_t Aidge::SqrtImpl_cpu::getNbRequiredProtected(const Aidge::IOIndex_t /*inputIdx*/) const {
// this implementation can be in-place
return 0;
}
void Aidge::SqrtImpl_cpu::forward() {
std::shared_ptr<Tensor> in0 = std::static_pointer_cast<Tensor>(mOp.getRawInput(0));
std::shared_ptr<Tensor> out0 = std::static_pointer_cast<Tensor>(mOp.getRawOutput(0));
AIDGE_ASSERT(in0, "missing input #0");
// Find the correct kernel type
auto kernelFunc = Registrar<SqrtImplForward_cpu>::create({
in0->dataType(),
out0->dataType()});
kernelFunc(in0->size(),
laurent soulier
committed
getCPUPtr(mOp.getRawInput(0)),
getCPUPtr(mOp.getRawOutput(0)));
}
void Aidge::SqrtImpl_cpu::backward() {
// reversing in and out Data for backprop
const Sqrt_Op& op_ = dynamic_cast<const Sqrt_Op&>(mOp);
std::shared_ptr<Tensor> out0grad = op_.getOutput(0)->grad();
std::shared_ptr<Tensor> in0grad = op_.getInput(0)->grad();
AIDGE_ASSERT(out0grad, "missing output #0");
// Find the correct kernel type
auto kernelFunc = Registrar<SqrtImplForward_cpu>::create({
out0grad->dataType(),
in0grad->dataType()});
kernelFunc(out0grad->size(),
getCPUPtr(out0grad),
getCPUPtr(in0grad));