deepspeedai / deepspeedai/DeepSpeed
Add support of L-BFGS optimizer
Open
Nobody has claimed this yet.
enhancement
- Dominant language
- Python
- Stars
- 43.1k
- Forks
- 5k
- Avg merge
- 4d 15h
- Merged PRs (30d)
- 112
Description
L-BFGS - Is second order optimizer having good convergence but is memory intensive.
Offloading optimizer state with deep-speed would improve method accessibility for users constrained in GPU-RAM
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
No file, test, or entry point is named. Start by locating DeepSpeed's optimizer implementations and optimizer-state offloading path, then define the required L-BFGS behavior and validation; done means L-BFGS is supported with state offloading for users constrained by GPU memory.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100