/******************************************************************************** * 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 <memory> #include <vector> #include "aidge/backend/cpu/data/GetCPUPtr.h" #include "aidge/data/Tensor.hpp" #include "aidge/operator/Sqrt.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()}); // Call kernel kernelFunc(in0->size(), 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()}); // Call kernel kernelFunc(out0grad->size(), getCPUPtr(out0grad), getCPUPtr(in0grad)); }