RVC-Project / RVC-Project/Retrieval-based-Voice-Conversion-WebUI
Training on Apple Silicon
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- Dominant language
- Python
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Description
Hey all,
I used my M1 MacBook Pro and trained a model with a dataset with .wav format that is 30 min long without slicing it, and I have some questions:
- Is it reasonable that it took more than 6 hours?
- Do slicing the dataset into < 10sec for every part, can make the training process faster?
- Is it that slow because RVC still doesn't support Apple Silicon, and the GPU is not being used?
- Are there any MPS updates coming to make training faster?
Hope some of you can help me with this 👯
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Research direction
The issue names no repository files, tests, or entry points. Start by reproducing the reported six-hour training run with the 30-minute WAV dataset and locating the training path and Apple Silicon/MPS handling; done requires a confirmed scope and answers or an implemented support plan.
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Assessment
- Tech stack
- macos, python
- Domain
- machine-learning, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100