lucidrains / lucidrains/vector-quantize-pytorch
RVQ loss
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Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 4k
- Forks
- 338
- PR merge metrics
- No merged PRs in 30d
Description
firstly,thanks to ur code,and then i have a quentison,when i use RVQ,it will return 8 loss,how do u solve this problem,u add all loss to one?
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No file, test, or entry point is named. Start by locating the RVQ entry point and reviewing how its losses are returned and documented, then compare that behavior with a minimal example producing eight losses. Done means the issue clearly records whether losses are summed or returned separately, with a confirmed expected result.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100