Open cailun01 opened 3 years ago
Hello! Followed by Installation Guide, I installed gpushare-scheduler-extender successfully. When I input kubectl inspect gpushare I got this:
kubectl inspect gpushare
NAME IPADDRESS GPU0(Allocated/Total) PENDING(Allocated) GPU Memory(GiB) abcd9 146.12.9.23 0/10 3 3/10 -------------------------------------------------- Allocated/Total GPU Memory In Cluster: 3/10 (30%)
The PENDING(Allocated) column is 3 and GPU0(Allocated/Total) is 0/10. Would anyone please tell me what is PENDING supposed to mean? Thanks!
PENDING(Allocated)
3
GPU0(Allocated/Total)
0/10
PENDING
I created the pod by this yaml:
apiVersion: v1 kind: Pod metadata: name: gpu-share-pod1 spec: restartPolicy: OnFailure containers: - name: gpu-share-pod1 image: "cheyang/gpu-player:v2" env: - name: NVIDIA_VISIBLE_DEVICES value: "0" resources: limits: aliyun.com/gpu-mem: 3
I have the same question, do you sovle it?
I have this same exact question, anyone has updates on it ?
I have this question too, have you sovled it?
Hello! Followed by Installation Guide, I installed gpushare-scheduler-extender successfully. When I input
kubectl inspect gpushare
I got this:The
PENDING(Allocated)
column is3
andGPU0(Allocated/Total)
is0/10
. Would anyone please tell me what isPENDING
supposed to mean? Thanks!I created the pod by this yaml: