Optimize GNN-Bert distillation user experience.
Open
- Dominant language
- Python
- Stars
- 452
- Forks
- 76
- PR merge metrics
- No merged PRs in 30d
Description
We need to support following user experience:
- [ ] #513
- [ ] Resuming a distillation task from a saved checkpoint
- [ ] Provide an end2end experience of doing GNN inference + Bert distillation
- [ ] Optimize code base.
Contributor guide
Research direction
No files, tests, or entry points are named. Start by reviewing linked issue #513 and the existing GNN inference and BERT distillation workflows; define checkpoint-resume and end-to-end acceptance criteria before changing code.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100