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deepfakes
Task does not use GPU after a period of time (Apple Sillicon)
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Describe the bug In GUI, after training the model for about 1 hour, The GPU usage becomes 0%, and the iteration is slow. But at the beginning of training, the GPU usage can reach about 90%. The computer didn't sleep and the monitor wasn't turned off.
To Reproduce Steps to reproduce the behavior:
- python faceswap.py gui
- choose input A B and model dir
- Click "Generate" and click "Train"
Expected behavior GPU can always work for training
Screenshots If applicable, add screenshots to help explain your problem.
Desktop (please complete the following information):
- OS: MacOS M1 MAX
- Python Version 3.9
- Conda Version [4.12.0]
- Commit ID [e.g. e83819f]
Additional context Add any other context about the problem here.
Crash Report The crash report generated in the root of your Faceswap folder
I don't use Apple Silicon, but will leave this open in case any Apple Silicon users have any insights
Correction: In fact, when running for about 3 hours and about 66500 iterations, the change stops using the GPU. And the program starts to get very slow.
I have observed this as well, for there's a 50/50 chance for the GPU to stop during a training session. Sometimes it happens after 1 hour, sometimes I can train for 24 hours without issue, using the same model/settings. I'm not sure what the cause is, or how to find out..
If I were to guess, I would suspect that this is some kind of internal throttling. This is most likely to be a Tensorflow/M1 issue rather than specifically Faceswap though. Possibly related: https://developer.apple.com/forums/thread/708154