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training killed while loading image features

Open Youngju-Na opened this issue 3 years ago • 4 comments

I've been following the vqa fine tuning process but I constantly find problems here. I successfully finished the bash run/vqa_finetune.bash 0 vqa_lxr955_tiny --tiny command.

but I found this issue.

image

I used wsl2 (ubuntu 18.04 tsl) with rtx3080

Thanks for your comments.

Youngju-Na avatar Apr 02 '21 03:04 Youngju-Na

Hardware might not be enough. I remember --tiny is not hard to run (for example, macbook with 16 GB CPU-only), it is runnable but just much slower than GPU-based training.

yezhengli-Mr9 avatar Apr 02 '21 05:04 yezhengli-Mr9

Hardware might not be enough. I remember --tiny is not hard to run (for example, macbook with 16 GB CPU-only), it is runnable but just much slower than GPU-based training.

Ok, I do not know since you have GPU rtx3080.

yezhengli-Mr9 avatar Apr 02 '21 05:04 yezhengli-Mr9

I've been following the vqa fine tuning process but I constantly find problems here. I successfully finished the bash run/vqa_finetune.bash 0 vqa_lxr955_tiny --tiny command.

but I found this issue.

image

I used wsl2 (ubuntu 18.04 tsl) with rtx3080

Thanks for your comments.

yes! I use rtx2080ti, having the same question.

LeungWaiHo avatar Sep 12 '21 23:09 LeungWaiHo

Hardware might not be enough. I remember --tiny is not hard to run (for example, macbook with 16 GB CPU-only), it is runnable but just much slower than GPU-based training.

Ok, I do not know since you have GPU rtx3080.

Could I ask which GPU or how many GPUs do you use when vqa fune tuning? thanks!

LeungWaiHo avatar Sep 13 '21 00:09 LeungWaiHo