/******************************************************************************** * 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 <chrono> // std::chrono::milliseconds #include <numeric> // std::accumulate #include <thread> // std::this_thread::sleep_for #include <vector> #include "aidge/operator/Pow.hpp" #include "aidge/utils/Types.h" #include "aidge/backend/cpu/data/Broadcasting.hpp" #include "aidge/backend/cpu/data/GetCPUPtr.h" #include "aidge/backend/cpu/operator/PowImpl.hpp" #include "aidge/backend/cpu/operator/PowImpl_forward_kernels.hpp" Aidge::NbElts_t Aidge::PowImpl_cpu::getNbRequiredProtected(const Aidge::IOIndex_t /*inputIdx*/) const { // this implementation can be in-place return 0; } void Aidge::PowImpl_cpu::forward() { // Find the correct kernel type auto kernelFunc = Registrar<PowImplForward_cpu>::create({ std::static_pointer_cast<Tensor>(mOp.getRawInput(0))->dataType(), std::static_pointer_cast<Tensor>(mOp.getRawInput(1))->dataType(), std::static_pointer_cast<Tensor>(mOp.getRawOutput(0))->dataType()}); const std::vector<std::size_t> inputDims0 = getBroadcastedDims(std::static_pointer_cast<Tensor>(mOp.getRawOutput(0))->dims(), std::static_pointer_cast<Tensor>(mOp.getRawInput(0))->dims()); const std::vector<std::size_t> inputDims1 = getBroadcastedDims(std::static_pointer_cast<Tensor>(mOp.getRawOutput(0))->dims(), std::static_pointer_cast<Tensor>(mOp.getRawInput(1))->dims()); // Call kernel kernelFunc(inputDims0, inputDims1, std::static_pointer_cast<Tensor>(mOp.getRawOutput(0))->dims(), getCPUPtr(mOp.getRawInput(0)), getCPUPtr(mOp.getRawInput(1)), getCPUPtr(mOp.getRawOutput(0))); }