thu-ml / thu-ml/TurboDiffusion
能否支持多卡并行推理呢？
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- Dominant language
- Python
- Stars
- 3.7k
- Forks
- 277
- Avg merge
- 2h 57m
- Merged PRs (30d)
- 2
Description
This issue has no description.
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
The issue names no files, tests, or entry points. Start by locating the inference entry point and current device-allocation logic, then clarify the intended multi-card execution model and validation before implementing it; done means supported inference runs across multiple GPUs with documented usage and tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, distributed-systems, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100