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Posted to yarn-issues@hadoop.apache.org by "Wangda Tan (JIRA)" <ji...@apache.org> on 2018/06/14 06:28:00 UTC

[jira] [Assigned] (YARN-8423) GPU does not get released even though the application gets killed.

     [ https://issues.apache.org/jira/browse/YARN-8423?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Wangda Tan reassigned YARN-8423:
--------------------------------

    Assignee: Sunil Govindan  (was: Wangda Tan)

> GPU does not get released even though the application gets killed.
> ------------------------------------------------------------------
>
>                 Key: YARN-8423
>                 URL: https://issues.apache.org/jira/browse/YARN-8423
>             Project: Hadoop YARN
>          Issue Type: Bug
>          Components: yarn
>            Reporter: Sumana Sathish
>            Assignee: Sunil Govindan
>            Priority: Critical
>         Attachments: kill-container-nm.log
>
>
> Run an Tensor flow app requesting one GPU.
> Kill the application once the GPU is allocated
> Query the nodemanger once the application is killed.We see that GPU is not being released.
> {code}
>  curl -i <NM>/ws/v1/node/resources/yarn.io%2Fgpu
> {"gpuDeviceInformation":{"gpus":[{"productName":"<productName>","uuid":"GPU-<UID>","minorNumber":0,"gpuUtilizations":{"overallGpuUtilization":0.0},"gpuMemoryUsage":{"usedMemoryMiB":73,"availMemoryMiB":12125,"totalMemoryMiB":12198},"temperature":{"currentGpuTemp":28.0,"maxGpuTemp":85.0,"slowThresholdGpuTemp":82.0}},{"productName":"<productName>","uuid":"GPU-<UID>","minorNumber":1,"gpuUtilizations":{"overallGpuUtilization":0.0},"gpuMemoryUsage":{"usedMemoryMiB":73,"availMemoryMiB":12125,"totalMemoryMiB":12198},"temperature":{"currentGpuTemp":28.0,"maxGpuTemp":85.0,"slowThresholdGpuTemp":82.0}}],"driverVersion":"<version>"},"totalGpuDevices":[{"index":0,"minorNumber":0},{"index":1,"minorNumber":1}],"assignedGpuDevices":[{"index":0,"minorNumber":0,"containerId":"container_<containerID>"}]}
> {code}



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