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This repository has been archived by the owner on Sep 19, 2022. It is now read-only.
See kubeflow/kubeflow#1213
and kubeflow/training-operator#759
We'd like to be able to scope Kubeflow to a particular namespace to better support multi-tenant environments.
Right now pytorch uses a cluster role and claims jobs in all namespaces. We'd like to add an option to scope it to one or more namespaces.
Here's what we did for TFJob operator; kubeflow/tf-operator
Also worth considering what Argo does see
kubeflow/training-operator#759 (comment)
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