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108 lines
3.4 KiB
108 lines
3.4 KiB
/* Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#ifdef PADDLE_WITH_PSLIB
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#include "heter_resource.h"
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#include "paddle/fluid/platform/cuda_device_guard.h"
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namespace paddle {
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namespace framework {
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GPUResource::GPUResource(std::vector<int>& dev_ids, int index) {
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index_ = index;
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dev_ids_ = dev_ids;
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dev_id_ = dev_ids_[index];
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platform::CUDADeviceGuard guard(dev_id_);
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local_streams_.resize(dev_ids_.size());
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comm_streams_.resize(dev_ids_.size());
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for (size_t i = 0; i < dev_ids_.size(); ++i) {
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PADDLE_ENFORCE_CUDA_SUCCESS(
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cudaStreamCreateWithFlags(&local_streams_[i], cudaStreamNonBlocking));
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PADDLE_ENFORCE_CUDA_SUCCESS(
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cudaStreamCreateWithFlags(&comm_streams_[i], cudaStreamNonBlocking));
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}
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PADDLE_ENFORCE_CUDA_SUCCESS(
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cudaStreamCreateWithFlags(&remote_stream_, cudaStreamNonBlocking));
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}
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GPUResource::~GPUResource() {
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platform::CUDADeviceGuard guard(dev_id_);
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for (size_t i = 0; i < local_streams_.size(); ++i) {
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PADDLE_ENFORCE_CUDA_SUCCESS(cudaStreamDestroy(local_streams_[i]));
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}
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for (size_t i = 0; i < comm_streams_.size(); ++i) {
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PADDLE_ENFORCE_CUDA_SUCCESS(cudaStreamDestroy(comm_streams_[i]));
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}
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PADDLE_ENFORCE_CUDA_SUCCESS(cudaStreamDestroy(remote_stream_));
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}
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void HeterPsResource::enable_p2p() {
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for (size_t i = 0; i < dev_ids_.size(); ++i) {
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platform::CUDADeviceGuard guard(dev_ids_[i]);
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for (size_t j = 0; j < dev_ids_.size(); ++j) {
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if (i != j) {
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int p2p_flag;
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PADDLE_ENFORCE_CUDA_SUCCESS(
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cudaDeviceCanAccessPeer(&p2p_flag, dev_ids_[i], dev_ids_[j]));
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if (p2p_flag == 1) {
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cudaError_t ret = cudaDeviceEnablePeerAccess(dev_ids_[j], 0);
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if (ret != cudaSuccess && ret != cudaErrorPeerAccessAlreadyEnabled) {
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VLOG(0) << " Cuda error(" << ret << "), " << cudaGetErrorString(ret)
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<< ".";
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} else {
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cudaGetLastError();
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}
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}
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}
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}
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}
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}
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HeterPsResource::HeterPsResource(const std::vector<int>& dev_ids) {
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dev_ids_ = dev_ids;
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for (size_t i = 0; i < dev_ids_.size(); ++i) {
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std::shared_ptr<GPUResource> resource =
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std::make_shared<GPUResource>(dev_ids_, i);
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resources_.push_back(resource);
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devid_2_index_[dev_ids_[i]] = i;
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}
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}
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cudaStream_t HeterPsResource::comm_stream(int gpu_num, int stream_num) {
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return resources_[gpu_num]->comm_stream(stream_num);
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}
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cudaStream_t HeterPsResource::local_stream(int gpu_num, int stream_num) {
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return resources_[gpu_num]->local_stream(stream_num);
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}
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cudaStream_t HeterPsResource::remote_stream(int gpu_num) {
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return resources_[gpu_num]->remote_stream();
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}
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int HeterPsResource::dev_id(int num) { return dev_ids_[num]; }
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int HeterPsResource::get_index_by_devid(int devid) {
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return devid_2_index_[devid];
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}
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int HeterPsResource::total_gpu() { return dev_ids_.size(); }
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} // end namespace framework
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} // end namespace paddle
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#endif
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