Core/Thread count doesn't respect cgroup limits #1577
Unanswered
huston-rogers
asked this question in
Q&A / Help
Replies: 1 comment
-
|
Bumping discussion. This is a stop work for users who want to utilize labelme on HPC systems. It might be related to items opened under issues recently. |
Beta Was this translation helpful? Give feedback.
0 replies
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Uh oh!
There was an error while loading. Please reload this page.
-
Is there any information or documentation on specifying specific hardware limits or resources to utilize? Trying to use labelme in a batch/HPC environment, and it is flatly failing. It doesn't respect cgroup thread limits, nor does it appear to use the allocated GPUs, even with the onnxruntime-gpu package installed. It hangs nodes on "create ai-polygon". It runs way past the allocated core count, often over the maximum core count.
Beta Was this translation helpful? Give feedback.
All reactions