Package has issues with Pytorch 1.10
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 25/100
- Issue type
- Bug
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python, pytorch
- Domain
- build-system, machine-learning
Research direction
Start by reproducing the reported mismatch between the device's CUDA version and PyTorch's compiled CUDA version during extension installation through distutils and cppextensions. Review how those entry points validate versions and compare behavior with PyTorch 1.9 and 1.10. Done means establishing a supported installation path or documenting the incompatibility.
Written by the indexing model from the issue text.
Description
Hi,
As I was configuring different combinations of pytorch and CUDA I realized if your device's current nvvc version and torch's compiled cuda version differ- which is totally ok for torch itself since you can run any code on the new cuda 11.5 machines while torch lags behind at 11.3 - you will receive an error for mismatched versions for installing extensions through distutils and cppextensions.
Of course I realize reverting the torch version back to 1.9 is totally fine and you can easily install the package. Any plans for a change in the structure of extensions(Sorry I am not familiar how exactly you could bypass this mismatch issue).
- Dominant language
- Python
- Stars
- 2k
- Forks
- 448
- PR merge metrics
- No merged PRs in 30d
Contributor guide
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