/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ #pragma once #include "paddle/fluid/platform/device/gpu/gpu_info.h" #include "paddle/fluid/platform/place.h" #ifdef PADDLE_WITH_MLU #include "paddle/fluid/platform/device/mlu/device_context.h" #endif namespace paddle { namespace memory { /** * \brief Copy memory from one place to another place. * * \param[in] DstPlace Destination allocation place (CPU). * \param[in] dst Destination memory address. * \param[in] SrcPlace Source allocation place (CPU). * \param[in] src Source memory address. * \param[in] num memory size in bytes to copy. * */ template void Copy(DstPlace, void* dst, SrcPlace, const void* src, size_t num); /** * \brief Copy memory from one place to another place. * * \param[in] DstPlace Destination allocation place (CPU or GPU or XPU or * CustomDevice). * \param[in] dst Destination memory address. * \param[in] SrcPlace Source allocation place (CPU or GPU or XPU or * CustomDevice). * \param[in] src Source memory address. * \param[in] num memory size in bytes to copy. * \param[in] stream stream for asynchronously memory copy. * * \note For GPU/XPU/CustomDevice memory copy, stream need to be specified * for asynchronously memory copy, and type is restored in the * implementation. * */ template void Copy(DstPlace, void* dst, SrcPlace, const void* src, size_t num, void* stream); } // namespace memory } // namespace paddle