michaelfeil / michaelfeil/infinity
AMD ROCm docker images support (+ optimization)
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help wanted
- Dominant language
- Python
- Stars
- 2.9k
- Forks
- 206
- PR merge metrics
- No merged PRs in 30d
Description
I am planning to evaluate hardware agnostic options
- [ ] adapt poetry setup for optional deps
- [ ] build a Docker Image for AMD Mi250/300
- [ ] optimize settings e.g. `torch.compile()`/`float16` etc for AMD
Contributor guide
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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
Start by reviewing the Poetry setup and existing Docker configuration, then inspect how current torch settings are selected. The scope covers optional dependencies, an AMD Mi250/300 image, and AMD-specific optimization; done means all three checklist items are implemented and validated.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- docker, python, pytorch
- Domain
- devops, machine-learning, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100