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--fp16 Slower & Does Not Reduce Memory Use
See original GitHub issueHey there @lucidrains,
Came across your incredible work and immediately tried it out on my RTX 2070! Since the training will take some time and require a lot of memory, I was relieved that we can use APEX/Amp to train the model by simply adding the --fp16 option.
Unfortunately for me, the memory usage does not reduce compared to the regular fp32 training and the training speed was slower too.
Came across a similar issue #129 but it was closed before a fix was checked in. Will you still continue to work on fp16? I believe this will help many of your users (and fans!)
Issue Analytics
- State:
- Created 3 years ago
- Reactions:3
- Comments:9 (3 by maintainers)
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A bit unrelated, but I can’t even get it running - I just keep getting NaN errors and the learning shutdowns.
@tannisroot yea, I get that feedback a lot. I think I will just remove this feature from the readme and keep it as a silent feature. Perhaps someone can help figure out what’s wrong. It has worked for me in the past, so I’m not sure what changed