RVC-Project / RVC-Project/Retrieval-based-Voice-Conversion-WebUI
Training is freezing the computer when training for more than 20 epochs.
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Description
Are there any options I can add to the invoking command to limit the VRAM usage. Like the way Automatic1111 for Stable Diffusion has --lowvram option.
Because when I'm trying to train a model for more than 20 epochs, it is freezing the entire computer. I have RX 6500 XT with 4GB, Main RAM is 16GB.
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First steps
- Read the whole issue, then the project's contributing guide.
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Research direction
Start by tracing the invoking training command and how it allocates VRAM during runs beyond 20 epochs. Reproduce the freeze with the reported RX 6500 XT and 4GB VRAM, then verify that any added usage limit prevents the computer from freezing.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100