Open Youngju-Na opened 3 years ago
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.
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
.
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.
I used wsl2 (ubuntu 18.04 tsl) with rtx3080
Thanks for your comments.
yes! I use rtx2080ti, having the same question.
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!
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.
I used wsl2 (ubuntu 18.04 tsl) with rtx3080
Thanks for your comments.