RVC-Project/Retrieval-based-Voice-Conversion-WebUI

Training is freezing the computer when training for more than 20 epochs.

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#1,711 opened on Jan 14, 2024

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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.

Contributor guide

Research direction
Investigate the training script for high VRAM usage areas and consider implementing gradient checkpointing or CPU offloading similar to the lowvram option in Automatic1111.
Tech stack
python
Domain
backendmachine learning
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
Half day
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
Python
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
60