Comments (4)
Hi @minjoong507,
This code does not support multi-GPU training, and normally there is also no need to use it as well since the whole training only takes 4 hours for a single 2080Ti, using full precision. If you want to use multi-GPUs, please refer to PyTorch's official tutorials.
Best,
Jie
from tvretrieval.
Thank you for quick reply!
Is there any difference in performance between using multi-GPU and single-GPU?
Recently, I saw the issue about performance on HERO model. (link: linjieli222/HERO#14)
Thank you for your answering.
from tvretrieval.
Hi @minjoong507,
Most likely yes, but it depends on how you implement it. For example, if hard negatives are mined across GPUs as in linjieli222/HERO#14, it is expected to see some improvement as better negatives are used (mined from a larger mini-batch). Meanwhile, as 3090 has a much larger memory than 2080Ti, you can increase the mini-batch size to get better negatives and thus some improvement.
Jie
from tvretrieval.
I got it! Thanks :)
from tvretrieval.
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