Comments (6)
do not have slave pod in my namespace: gpu-pool
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@liuweibin6566396837
Thanks for your issue.
Show more relevant logs of gpu-mounter-worker(/etc/GPUMounter/log/GPUMounter-worker.log
) plz.
from gpumounter.
It seems like that you edit the k8s version in this issue.
What's your k8s version?
In current version, GPUMounter has a known bug on k8s v1.20+ mentioned in #19 (comment).
from gpumounter.
It seems like that you edit the k8s version in this issue. What's your k8s version? In current version, GPUMounter has a known bug on k8s v1.20+ mentioned in #19 (comment).
thanks for your reply. I have fixed the problem earlier(just make sure env:
- name: NVIDIA_VISIBLE_DEVICES
value: "none"
the problem will be solved.
)
from gpumounter.
It seems like that you edit the k8s version in this issue. What's your k8s version? In current version, GPUMounter has a known bug on k8s v1.20+ mentioned in #19 (comment).
Now, I met a new bug in cluster
k8s 1.20.11
docker 20.10.10
bug: when I request addgpu, it return "Add GPU Success", however no slaver pod in gpu-pool.
I found some unusual log in worker's pod, show some logs follows:
2022-03-15T13:12:43.240Z INFO collector/collector.go:136 GPU status update successfully
2022-03-15T13:12:46.402Z INFO allocator/allocator.go:59 Creating GPU Slave Pod: base-0-slave-pod-595282 for Owner Pod: base-0
2022-03-15T13:12:46.403Z INFO allocator/allocator.go:238 Checking Pods: base-0-slave-pod-595282 state
2022-03-15T13:12:50.450Z INFO allocator/allocator.go:252 Not Found....
2022-03-15T13:12:50.450Z INFO allocator/allocator.go:277 Pods: base-0-slave-pod-595282 are running
2022-03-15T13:12:50.450Z INFO allocator/allocator.go:84 Successfully create Slave Pod: base-0-slave-pod-595282, for Owner Pod: base-0
2022-03-15T13:12:50.450Z INFO collector/collector.go:91 Updating GPU status
2022-03-15T13:12:50.452Z DEBUG collector/collector.go:130 GPU: /dev/nvidia0 allocated to Pod: xiaoxuan-fbdd-0 in Namespace shixiaoxuan
2022-03-15T13:12:50.452Z DEBUG collector/collector.go:130 GPU: /dev/nvidia1 allocated to Pod: zwbgpu-pytorch-1-6-0 in Namespace zhouwenbiao
2022-03-15T13:12:50.452Z DEBUG collector/collector.go:130 GPU: /dev/nvidia7 allocated to Pod: admet-predict-0 in Namespace liqinze
2022-03-15T13:12:50.452Z DEBUG collector/collector.go:130 GPU: /dev/nvidia5 allocated to Pod: xiaoxuan-test-d2m-0 in Namespace shixiaoxuan
2022-03-15T13:12:50.452Z DEBUG collector/collector.go:130 GPU: /dev/nvidia2 allocated to Pod: bf-dev-2-0 in Namespace baifang
2022-03-15T13:12:50.452Z DEBUG collector/collector.go:130 GPU: /dev/nvidia3 allocated to Pod: bf-dev-2-0 in Namespace baifang
2022-03-15T13:12:50.452Z DEBUG collector/collector.go:130 GPU: /dev/nvidia6 allocated to Pod: minisomdimsanbai-0 in Namespace yangdeai
2022-03-15T13:12:50.452Z INFO collector/collector.go:136 GPU status update successfully
2022-03-15T13:12:50.452Z INFO gpu-mount/server.go:97 Successfully mount all GPU to Pod: base-0 in Namespace: liuweibin
from gpumounter.
Thx for your report.
It seems that you have the unfixed issue mentioned in #19.
GPUMounter can not work well in k8s v1.20+ in current version.
from gpumounter.
Related Issues (14)
- gpu-mounter-worker Error: Can not connect to /var/lib/kubelet/pod-resources/kubelet.sock HOT 6
- Is it necessary to bind only one GPU to one slave pod? HOT 3
- gpu节点上,gpu-worker报错:nvml error: %+vcould not load NVML library HOT 2
- Some TODOs after merge PR #15 HOT 2
- Insufficient GPU on Node: xxx HOT 2
- GPUMounter-worker error in k8s v1.23.1 HOT 10
- 试用过程中发现的问题 HOT 3
- 请教个问题,运行woker的时候,找不到libnvidia-ml.so.1 HOT 3
- mount成功之后Slave-pod 过一会被杀死,导致不能卸载GPU HOT 2
- Slave pod creating will failed if the owner pod namespace enabled Resource Quotas HOT 2
- More graceful dependency management HOT 5
- Wait until the slave pods deletion finished HOT 1
- Slave Pod BestEffort QoS may lead to GPU resource leak
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