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rosinality avatar rosinality commented on July 30, 2024

I have used P40 with 24G ram. Maybe it is better to use more gpus with dataparallel.

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voa18105 avatar voa18105 commented on July 30, 2024

I have 2 TITAN X with 12G, but use only 1... is there a simple way to insert data parallelization?

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voa18105 avatar voa18105 commented on July 30, 2024

ho, I see you already used nn.DataParallel... Does that mean that if I will write CUDA_VISIBLE_DEVICES=0,1 python3.6 train.py -d celeba ... it will automatically use both?

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rosinality avatar rosinality commented on July 30, 2024

Yes, it will use both gpus. I think it would be better to test that you can train model at high resolutions. (You can do this by manually setting step variables.)

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voa18105 avatar voa18105 commented on July 30, 2024

Thank you! I will notify in 1-2 days if I managed to overcome this issue.

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RameenAbdal avatar RameenAbdal commented on July 30, 2024

Hi, Did you manage to run the code on multiple gpus?

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voa18105 avatar voa18105 commented on July 30, 2024

@RameenAbdal hi, yes, it works fine. I guess it is much slower than with P40, but it does not fall

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