NVIDIA / NVIDIA/cuEquivariance
cuequivariance-ops-cu11 for aarch64
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 433
- Forks
- 42
- PR merge metrics
- No merged PRs in 30d
Description
Hello, I have torch 2.4.0 with CUDA11.8 on my aarch64 machine. So, is there a way that I could build the corresponding cuequivariance-ops-cu11 package from source?
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
Start by reviewing the package build and distribution configuration for the aarch64, PyTorch 2.4.0, and CUDA 11.8 combination described in the issue. Determine whether a source build is supported and what changes or documentation would be needed to make the corresponding package build successfully.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- build-system, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100