Comments (3)
glample
commented on July 29, 2024
It has to be released. If you check the process ID with nvidia-smi you will see the process ID of the job which is still using memory, and it's probably some other process using the GPU 0.
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StillKeepTry
commented on July 29, 2024
In fact, I also meet this problem. I directly kill these processes manually.
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liujiqiang999
commented on July 29, 2024
Thanks. It is easy way to solve this problem.
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Related Issues (20)
- Add memory to transformer
- XLM LICENSE
- Error when using the uploaded en-fr model for NMT (translate from English to French) HOT 1
- Error in Training HOT 3
- Generate multiple optimal results（beam search）
- Training data details for XLM-15 model HOT 1
- Question about parameters for further training of a preexisiting model?
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- [Question] Does XLM-R follows RoBERTa or XLM for MLM?
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- e
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