You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
{{ message }}
This repository has been archived by the owner on Sep 12, 2023. It is now read-only.
We recently added SuccessPolicy in tf-operator kubeflow/training-operator#1165 and are considering adding FailurePolicy to handle the case of failure in kubeflow/training-operator#1170. Once it's mature and if we see a common pattern in other operators, we should consider moving that to kubeflow/common.
With fault-tolerant & elastic distributed training propagating among more frameworks, a universal definition of failure and success for a distributed training job shall benefit developers for clarifying logic when handling pods failed or recently joined.
We recently added
SuccessPolicy
in tf-operator kubeflow/training-operator#1165 and are considering addingFailurePolicy
to handle the case of failure in kubeflow/training-operator#1170. Once it's mature and if we see a common pattern in other operators, we should consider moving that to kubeflow/common.cc @gaocegege @Jeffwan @johnugeorge @ChanYiLin @pingsutw
The text was updated successfully, but these errors were encountered: