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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:

preempting lower priority tasks to allow a higher priority task to come in

Well this is usually outside of the scope of "single researcher" / "tiny team"...
This typically a large scale problem
That said, it will be fairly easy to write a service that aborts Tasks, "tags them to be "continued", then later (at night?!) push them back into a queue... wdyt?

Posted one year ago
0 Answers
one year ago
one year ago