worker-0: nnodes=1, num_local_procs=1, node_rank=0 worker-0: global_rank_mapping=defaultdict(<class 'list'>, {'worker-0': [0]}) worker-0: dist_world_size=1 worker-0: Setting CUDA_VISIBLE_DEVICES=0 worker-0: Files already downloaded and verified worker-0: Files already downloaded...
## dist.new_group() 将 RANK 实例放入一个组中self.world_group=dist.new_group(ranks=range(dist...
DeepSpeed enabled the world's most powerful language models (at the time of this writing) such as MT-530B and BLOOM. It is an easy-to-use deep learning optimization software suite that powers unprecedented scale and speed for both training and inference. With DeepSpeed you can: Train/Inferenc...
与超过 1200万 开发者一起发现、参与优秀开源项目,私有仓库也完全免费 :) 免费加入 已有帐号?立即登录 此仓库是为了提升国内下载速度的镜像仓库,每日同步一次。 原始仓库:https://github.com/microsoft/DeepSpeed master 克隆/下载 git config --global user.name userName git config --global user.email userEmail...
importtorchimporttorch.distributedasdistimporttorch.nnasnnimporttorch.multiprocessingasmpdeftrain(rank,world_size):dist.init_process_group("nccl",rank=rank,world_size=world_size)model=nn.Linear(10,10).cuda(rank)model=nn.parallel.DistributedDataParallel(model,device_ids=[rank])optimizer=torch.optim.SGD...
bin Processing zero checkpoint at global_step1 Detected checkpoint of type zero stage 3, world_size: 2 Saving fp32 state dict to pytorch_model.bin (total_numel=60506624) 当你保存checkpoint时,zero_to_fp32.py脚本会自动生成。注意:目前该脚本使用的内存(通用RAM)是最终checkpoint大小的两倍。 或者,...
要使用 mpirun + DeepSpeed 或 AzureML(使用 mpirun 作为启动器后端)启动你的训练作业,您只需要安装 mpi4py Python 包。DeepSpeed 将使用它来发现 MPI 环境,并将必要的状态(例如 world size、rank 等)传递给 torch 分布式后端。 如果你正在使用模型并行,Pipline 并行或者在调用deepspeed.initialize(..)之前需要使...
dist.init_process_group(backend='gloo, init_method='tcp://172.27.149.6:7777', world_size=args.world_size) torch.utils.data.distributed.DistributedSampler(train_dataset) , sampler=train_sampler 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. ...
DeepSpeedenables world's most powerful language models likeMT-530BandBLOOM. It is an easy-to-use deep learning optimization software suite that powers unprecedented scale and speed for both training and inference. With DeepSpeed you can: Train/Inference dense or sparse models with billions or trilli...
我们目前不支持70B llama-2模型(这里的模型架构与较小的llama-2变体不同)。我们正在努力尽快添加支持！