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Hi, I Am Trying To Setup Multi-Node Training With Pytorch Distributeddataparallel. Ddp Requres A Launch Script With A Set Of Parameters To Be Run On Each Node. One Of These Parameters Is Master Node Address. I Am Currently Using The Following Scheme:


Yes, i basically plan to use ClearML as user-friendly cluster manager

and it is 🙂
I think the main "drawback" is that you cannot "reserve" nodes for the multi-node training. The easiest solution is to have high-priority queue that is never used, and then have the DDP master process push into the high priority queue, which will ensure these are the next Tasks to be executed (now the only thing that is missing is preemption to running Tasks, but this automation policy is unfortunately not part of the open-source)
wdyt?

  
  
Posted 3 years ago
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3 years ago
one year ago