共享内存通常在GPU间无法直接进行点对点(P2P)通信时使用,作为替代路径,通过主机内存来传输数据。当设置NCCL_SHM_DISABLE=1后,NCCL在那些原本会使用共享内存的场景下,将转而使用网络(例如,InfiniBand或IP套接字)在CPU插槽间进行通信。 在某些系统配置中,GPU可能由于硬件或驱动限制,无法有效地利用P2P通信。此时,NCCL通常...
>我们推荐使用 vLLM 0.4.2,因为 0.4.3+ 版本目前需要关闭 P2P 通信 `export NCCL_P2P_DISABLE=1` 或者通过 Gloo 进行权重同步(`--vllm_sync_backend gloo`)。 >我们也提供了 [Dockerfiles for vLLM](./dockerfile/) 和[Nvidia-Docker 一键安装脚本](./examples/scripts/nvidia_docker_install.sh)。 #...
I do not know the exact reason, but the model "freeze"(stuck) when using 4 or more GPUs. So, while trying various things, I confirmed that the model works by setting the variable NCCL_P2P_DISABLE =1 . As far as I know, if NCCL_P2P_DISABLE is set to 1, communication between GPUs...
这通常在使用NVIDIA Collective Communications Library (NCCL)进行多GPU通信时发生。 2. 解决方法 方法一:设置环境变量 您可以通过设置环境变量来禁用P2P和InfiniBand支持,从而避免这个错误。这可以通过在命令行中设置nccl_p2p_disable和nccl_ib_disable环境变量来实现。 临时设置环境变量(在命令行中) 在Linux或Mac系统中...
path = gpu1->paths[GPU]+g2; // In general, use P2P whenever we can. int p2pLevel = PATH_SYS; // User override if (ncclTopoUserP2pLevel == -1) NCCLCHECK(ncclGetLevel(&ncclTopoUserP2pLevel, "NCCL_P2P_DISABLE", "NCCL_P2P_LEVEL")); if (ncclTopoUserP2pLevel !=...
试着设置一下环境变量NCCL_P2P_DISABLE=1，看看能不能解决
return ncclSuccess; } struct ncclTopoLinkList* path = gpu1->paths[GPU]+g2; // In general, use P2P whenever we can. int p2pLevel = PATH_SYS; // User override if (ncclTopoUserP2pLevel == -1) NCCLCHECK(ncclGetLevel(&ncclTopoUserP2pLevel, "NCCL_P2P_DISABLE", "NCCL_P2P_LEVEL"));...
DISABLED_P2P set by environment to 1. nccl4:1390395:1390435 [0] NCCL INFO NCCL_SHM_DISABLE ...
最后实测,在运行命令前面加上如下命令后就可以正常跑了 exportNCCL_IB_DISABLE=1;exportNCCL_P2P_DISABLE=1; NCCL_DEBUG=INFO python main.py ... MARSGGBO♥原创 如有意合作,欢迎私戳 邮箱:marsggbo@foxmail.com 2019-12-24 14:29:11 MARSGGBO♥原创 如有意合作,欢迎私戳 邮箱:marsggbo@foxmail.com 2019-...
"NCCL_IB_DISABLE", # More NCCL env vars: "NCCL_P2P_DISABLE", "NCCL_P2P_LEVEL", "NCCL_SHM_DISABLE", "NCCL_SOCKET_NTHREADS", "NCCL_NSOCKS_PERTHREAD", "NCCL_BUFFSIZE", "NCCL_NTHREADS", "NCCL_RINGS", "NCCL_MAX_NCHANNELS",