RosettaCommons / RosettaCommons/RFdiffusion
outdated requirements, how to install on cuda 12.x and python 3.11 or later ?
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Description
env/SE3nv.yml
contains these dependencies
dependencies:
- python=3.9
- pytorch=1.9
- cudatoolkit=11.1
- dgl-cuda11.1
- ...
However, this page [1] says, that L40s would require cuda12.1 or later. Moreover, python/3.9 has reached end-of-life [2]. So I'm wondering what the recommended procedure for installing rfdiffusion on a new software stack (e.python 3.11, cuda 12.x) would be.
Cheer,
Alois
[1] https://forums.developer.nvidia.com/t/minimum-required-cuda-version-by-gpu/276955
[2] https://devguide.python.org/versions/
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Research direction
Start with env/SE3nv.yml and review its Python, PyTorch, CUDA toolkit, and DGL dependency pins. Check the linked GPU and Python version references, then determine the supported installation path for Python 3.11 and CUDA 12.x. Done means the repository documents a verified procedure or clearly states the supported versions and limitations.
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Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100