Question about DMDv2
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- Dominant language
- Python
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- 1k
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Description
I find in the original DMDv2 implementation, gan loss uses fake model to extract hidden states feature, but in your code, use Teacher model to extract. Why?
Contributor guide
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
Begin by comparing the original DMDv2 implementation with FastGen's current teacher-model usage, using the two screenshots and the relevant training code as references. Identify the rationale for extracting hidden-state features from the teacher rather than the fake model, then document a confirmed explanation in this issue or the project's documentation.
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Assessment
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100