Hi Everyone, I Have A Training Job Task Which Was Using Gpu That Went To

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Hi Everyone,
I have a training job task which was using GPU that went to failed status because of CUDA Out of memory . However when i look at the worker view, i can see that a worker is still clogging up GPU resources which are tied to this experiment. Why would the resources not be freed up and what would be the right way to cleanup the worker ?

  				
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	2 years ago

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					ObedientToad56
				
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Hi ObedientToad56 , I guess somehow the training code left the GPU resources in an unstable state? Is the worker currently running anything?

  				
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	2 years ago

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					SuccessfulKoala55
				
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Well, the agent is supposed to kill the task's process - didn't it?

  				
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	2 years ago

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					SuccessfulKoala55
				
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no , it didn't kill the process.

  				
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	2 years ago

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					ObedientToad56
				
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Yeah GPU utilization was 100% . I cleaned it up using nvidia-smi and killing the process. But i was expecting the clean up to happen automatically since the process failed.

  				
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	2 years ago

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					ObedientToad56
				
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sure Thanks SuccessfulKoala55 Not sure if is a one off event. I will try to reproduce it.

  				
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	2 years ago

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					ObedientToad56
				
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Well, if you have any relevant debugging info I would appreciate it, or any hints on how to reproduce 🙂

  				
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	2 years ago

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					SuccessfulKoala55
				
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