[jira] [Resolved] (YUNIKORN-2271) Incorrect handling of GPU only resources

["Qi Zhu (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/YUNIKORN-2271?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Qi Zhu resolved YUNIKORN-2271.
------------------------------
    Fix Version/s: 1.5.0
       Resolution: Fixed

> Incorrect handling of GPU only resources
> ----------------------------------------
>
>                 Key: YUNIKORN-2271
>                 URL: https://issues.apache.org/jira/browse/YUNIKORN-2271
>             Project: Apache YuniKorn
>          Issue Type: Bug
>          Components: shim - kubernetes
>            Reporter: Weiwei Yang
>            Assignee: Qi Zhu
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 1.5.0
>
>
> https://github.com/apache/yunikorn-k8shim/blob/a118ba6c4d84804e2a407f9d91196ece4690cf09/pkg/common/resource.go#L61-L63 this code seems to have a bug. When I define resource like this:
> {code}
> request:
>   nvidia.com/gpu: 1
> limit:
>   nvidia.com/gpu: 1
>  {code}
> this is considered as QoS best effort and returned with just
> {code}
> Resources:
>   pod:1
> {code}
> but I think this is a valid configuration that a pod only specifies GPU resource without memory or CPU. It seems this is the K8s upstream code: qos.GetPodQOS() causes this..



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