ncclProxyProgress执行proxyProgress操作 ncclProxyProgress 通过在while循环中,progressOps函数执行添加的progress动作,而ncclProxyGetPostedOps是用来添加progress动作。(progress可理解为sendProxyProgress与recvProxyProgress的完整过程) 注意,为了不因为频繁的导致调用ncclProxyGetPostedOps而出现问题,设置了计数变量proxyOpAppendC...
ncclTopoPostset负责进一步校正allTopoRanks中的信息,然后调用connectRings、connectTrees、connectCollNet、connectNvls、ncclBuildRings构建最终的通信组网 调用computeBuffSizes计算通信需要分配的内存 调用ncclTopoComputeP2pChannels初始化p2p channels(内部调用initChannel进行channel初始化) 调用ncclProxyCreate创建代理线程,执行n...
1 : 0; } struct ncclTransport collNetTransport = { "COL", canConnect, { sendSetup, sendConnect, sendFree, NULL, sendProxySetup, sendProxyConnect, sendProxyFree, sendProxyProgress }, { recvSetup, recvConnect, recvFree, NULL, recvProxySetup, recvProxyConnect, recvProxyFree, recvProxyProgress ...
NCCL has an extensive set of environment variables to tune for specific usage.Environment variables can also be set statically in /etc/nccl.conf (for an administrator to set system-wide values) or in ${NCCL_CONF_FILE} (since 2.23; see below). For example, those files could contain :NCCL_...
[0] NCCL INFO New proxy send connection 112 from local rank 0, transport 2 nathan-h100-1:14492:14611 [0] NCCL INFO proxyProgressAsync opId=0x7f41fcddbe40 op.type=1 op.reqBuff=0x7f42401ad980 op.respSize=16 done nathan-h100-1:14492:14611 [0] NCCL INFO Received and initiated operation...
(standard for function calls), PROXY (stands for the proxy thread operations), NVLS (standard for NVLink SHARP), BOOTSTRAP (stands for early initialization), REG (stands for memory registration), PROFILE (stands for coarse-grained profiling of initialization), RAS (stands for reliability, ...
[Proxy Service] Device 0 CPU core 20 [Proxy Service UDS] Device 0 CPU core 22 NVLS Creating Multicast group nranks 8 size 2097152 on rank 0 NVLS Created Multicast group 7196778a7880 nranks 8 size 2097152 on rank 0 NVLS rank 0 (dev 0) alloc done, ucptr 0x7196dfc00000 ucgran 2097152...
你好，可参考这里解决该问题：https://www.paddlepaddle.org.cn/documentation/docs/zh/2.4rc/faq/...
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如果可能，我建议在进程之间共享cudaTensor，例如，如果vLLM有TP进程，而您的DeepSpeed进程组也具有TP进程...