Comments (5)
But refer to k8s-device-plugin and gpu-manager.
https://github.com/NVIDIA/k8s-device-plugin/blob/e8de9ba1bf030a8a385250755d23b6ca93b3a587/go.mod#L35
https://github.com/tkestack/gpu-manager/blob/15b913864e4d24a5a5180da3aa3875acac70801c/go.mod#L34
Import from k8s.io/kubelet will be more graceful.
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Thx for help from smart @InfluencerNGZK 👍👍👍
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Yeah, dependencies really matter in writing Golang codes. I think everyone who wants to manage their dependencies in a graceful way should read the instructions below first.
https://github.com/kubernetes/client-go/blob/master/INSTALL.md#dependency-management-for-the-serious-or-reluctant-user
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Thx for help from smart @InfluencerNGZK 👍👍👍
My pleasure bro :)
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KubeletPodResources
api was move into kubelet staging repo in this commit kubernetes/kubelet@86eb171#diff-56d5ab786db1c40992aafb5f4b6218ab4633eece4e557cb04b40526099afa3cc
So we can import KubeletPodResources
api from kubelet staging repo only if k8s ≥ 1.20 😑😑😑
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Related Issues (15)
- 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
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- GPUMounter-worker error in k8s v1.23.1 HOT 10
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- Can not use GPUMounter on k8s HOT 6
- 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
- Insufficient GPU on Node: xxx HOT 5
- Slave pod creating will failed if the owner pod namespace enabled Resource Quotas HOT 2
- Wait until the slave pods deletion finished HOT 1
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