[AutoDeploy]: investigate and improve single-GPU performance on select models
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AutoDeploy
- Dominant language
- Python
- Stars
- 14.7k
- Forks
- 2.8k
- Avg merge
- 2d 23h
- Merged PRs (30d)
- 489
Description
🚀 The feature, motivation and pitch
Single GPU is on average 20% slower than the manual torch reference.
Select a small list of models and improve them
Alternatives
No response
Additional context
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Research direction
No files, tests, or specific models are named. Start by reproducing the single-GPU AutoDeploy measurements and comparing them with the manual torch reference across a small model list; done means the selected models show improved performance and the comparison is documented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- 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