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Support restarting training job #901
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Cannot figure out how this helps solve the problem, could you please explain more about it?
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This PR adds
echo completed > $mountPath/$$$$.pid
after training command as below, if the training container succeed, it will touch a file named$mountPath/$processID.pid
with "completed"MetricsCollector container watches the training process, once find the process exit, it will check file
$mountPath/$processID.pid
to judge if the training process succeeds or not; if succeed, parse the metrics file; otherwise raise exception to exit.Before this PR, metrics collector once find training process exit, it starts to parse metrics file, ignoring if training process exit status.
For now, it is hard to check other process exit code (I tries to use "strace" to implement it, but it need more linux capability.) Also we can call k8s api to get pod.status.containerStatus, but we need add extra role to worker pod, or add another service to proxy it.
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Will this cause the similar pipe exit code problem as tee does?
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no, in fact for
tee
, the container exit code is always 0 even training process failsfor this PR:
&& echo
will not be executed)&& echo
will return 0, too. so the container exit code is 0, tooThere was a problem hiding this comment.
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Oh yeah, misunderstand the logic here, SGTM