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https://issues.apache.org/jira/browse/YUNIKORN-2271?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17796961#comment-17796961
 ] 

Weiwei Yang commented on YUNIKORN-2271:
---------------------------------------

Simple code to reproduce:

{code}
func TestGPUOnlyResources(t *testing.T) {
        containers := make([]v1.Container, 0)

        // container 01
        c1Resources := make(map[v1.ResourceName]resource.Quantity)
        c1Resources[v1.ResourceName("nvidia.com/gpu")] = resource.MustParse("1")
        containers = append(containers, v1.Container{
                Name: "container-01",
                Resources: v1.ResourceRequirements{
                        Requests: c1Resources,
                },
        })

        pod := &v1.Pod{
                TypeMeta: apis.TypeMeta{
                        Kind:       "Pod",
                        APIVersion: "v1",
                },
                ObjectMeta: apis.ObjectMeta{
                        Name: "pod-resource-test-00001",
                        UID:  "UID-00001",
                },
                Spec: v1.PodSpec{
                        Containers: containers,
                },
        }

        res := GetPodResource(pod)
        fmt.Println(res.String())
}
{code}

> 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
>            Priority: Major
>
> 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. 



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