Critical 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.
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>"}]}
