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Posted to yarn-issues@hadoop.apache.org by "Sumana Sathish (JIRA)" <ji...@apache.org> on 2018/06/12 23:26:00 UTC

[jira] [Updated] (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 ]

Sumana Sathish updated YARN-8423:
---------------------------------
    Description: 
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}

> 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: Wangda Tan
>            Priority: Critical
>
> 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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