k8s-device-plugin | device plugin to enable registration | Continuous Deployment library

by RadeonOpenCompute Go Version: amd-gpu-helm-0.7.0 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | k8s-device-plugin Summary

k8s-device-plugin is a Go library typically used in Devops, Continuous Deployment, Docker applications. k8s-device-plugin has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This is a Kubernetes device plugin implementation that enables the registration of AMD GPU in a container cluster for compute workload. With the approrpriate hardware and this plugin deployed in your Kubernetes cluster, you will be able to run jobs that require AMD GPU. More information about RadeonOpenCompute (ROCm).

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Quality

Security

License

Reuse

Support

k8s-device-plugin has a low active ecosystem.

It has 164 star(s) with 36 fork(s). There are 17 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 18 have been closed. On average issues are closed in 69 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of k8s-device-plugin is amd-gpu-helm-0.7.0

Quality

k8s-device-plugin has no bugs reported.

Security

k8s-device-plugin has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

k8s-device-plugin is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

k8s-device-plugin releases are available to install and integrate.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed k8s-device-plugin and discovered the below as its top functions. This is intended to give you an instant insight into k8s-device-plugin implemented functionality, and help decide if they suit your requirements.

Main entry point .
GetFirmwareVersions gets the firmware version information for the given card .
Count GPU devices
openAMDGPU opens an AMDGPU device .
GetAMDGPUs returns a map of device IDs
FamilyIDtoString converts a family id to a string
parseDebugFSFirmwareInfo provides a function to parse the details of the debugfs file
ParseTopologyProperties is like ParseTopologyProperties but accepts a regular expression as a regular expression
GetCardFamilyName returns the family name of the card family .
AMDGPU returns true if the card is supported

Get all kandi verified functions for this library.

k8s-device-plugin Key Features

No Key Features are available at this moment for k8s-device-plugin.

k8s-device-plugin Examples and Code Snippets

No Code Snippets are available at this moment for k8s-device-plugin.

Community Discussions

Trending Discussions on k8s-device-plugin

How to expose all GPUs to Kubernetes without the command "--gpus all" in docker 19.03?

Docker Container nvidia/k8s-device-plugin:1.9 Keeps Reporting Error

QUESTION

How to expose all GPUs to Kubernetes without the command "--gpus all" in docker 19.03?

Asked 2020-Feb-27 at 18:23

I want to install Kubernetes and docker 19.03 with NVIDIA GPU supporting. Before docker 19.03, the default rumtime of docker needs to be assigned to nvidia. Now the method is not supported, the recommend method is to insert "--gpus all" in command line. Is there any way to make "--gpus all" as the default setting of docker? It is also acceptable to change the command of Kubernetes for invoking docker, but I have not found the solution. BTW, I don't want to use NVIDIA's k8s-device-plugin because I want to control GPUs by myself. I just need all GPUs are exposed to PODs.

...

ANSWER

Answered 2020-Feb-27 at 18:23

According to NVIDIA's documents, we need to install Nvidia docker 2.0 even if it is not a recommended method. After the installing, you can set the Nvidia runtime as the default. Kubernetes cannot support the new command "--gpus all" currently.

Source https://stackoverflow.com/questions/60303834

QUESTION

Docker Container nvidia/k8s-device-plugin:1.9 Keeps Reporting Error

Asked 2020-Feb-25 at 03:06

I am trying to setup one small kubenertes cluster on my ubuntu 18.04 LTS server. Now every step is done, but checking the GPU status fails. The container keeps reporting errors:

1. Issue Description
I have done steps by Quick-Start, but when I run the test case, it reports error.

2. Steps to reproduce the issue

exec shell cmd

docker run --security-opt=no-new-privileges --cap-drop=ALL --network=none -it -v /var/lib/kubelet/device-plugins:/var/lib/kubelet/device-plugins nvidia/k8s-device-plugin:1.9
check the erros

2020/02/09 00:20:15 Starting to serve on /var/lib/kubelet/device-plugins/nvidia.sock
2020/02/09 00:20:15 Could not register device plugin: rpc error: code = Unimplemented desc = unknown service deviceplugin.Registration
2020/02/09 00:20:15 Could not contact Kubelet, retrying. Did you enable the device plugin feature gate?
2020/02/09 00:20:15 You can check the prerequisites at: https://github.com/NVIDIA/k8s-device-plugin#prerequisites
2020/02/09 00:20:15 You can learn how to set the runtime at: https://github.com/NVIDIA/k8s-device-plugin#quick-start

3. Environment Information
- outputs of nvidia-docker run --rm dlws/cuda nvidia-smi

NVIDIA-SMI 440.48.02 Driver Version: 440.48.02 CUDA Version: 10.2

outputs of nvidia-docker run --rm dlws/cuda nvidia-smi

NVIDIA-SMI 440.48.02 Driver Version: 440.48.02 CUDA Version: 10.2

contents of /etc/docker/daemon.json

contents:

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ANSWER

Answered 2020-Feb-24 at 05:25

Finally I found the answer, hope this post would be helpful for others who encounter the same issue:

For kubernetes 1.15, use k8s-device-plugin:1.11 instead. The version 1.9 is not able to communicate with kubelet.

Source https://stackoverflow.com/questions/60132575

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install k8s-device-plugin

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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