Comments (4)
Thanks for the question. When I run my experiments I am only using a single GPU;
could you try including CUDA_VISIBLE_DEVICES=0 and see if the problem persists?
from prefixtuning.
Thanks for the question. When I run my experiments I am only using a single GPU;
could you try including CUDA_VISIBLE_DEVICES=0 and see if the problem persists?
Thank you for the advice. However, it doesn't work after adding CUDA_VISIBLE_DEVICES=0.
Notice that Process rank: -1, device: cuda:0, n_gpu: 8, distributed training: False, 16-bits training: False
. I think may be some tensors are loaded in cpu that trigger this problem. The code is untouched except the data path.
from prefixtuning.
I think it's probably models loaded to different GPUs. Since you currently still have n_gpu: 8, could you specify n_gpu to be 1 rather than 8.
from prefixtuning.
I think it's probably models loaded to different GPUs. Since you currently still have n_gpu: 8, could you specify n_gpu to be 1 rather than 8.
Thanks. I force the TrainingArguments.n_gpu=1 and it works!
from prefixtuning.
Related Issues (20)
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