Whether to support Cuda 12.1
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 35/100
- Issue type
- Feature
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- python, pytorch
- Domain
- build-system, machine-learning
Research direction
Start in setup.py, especially check_cuda_torch_binary_vs_bare_metal at the reported failure point. Reproduce the extension build with PyTorch 2.1.0+cu121 and the installed CUDA compiler, then determine the expected compatibility behavior; done means the supported CUDA 12.1 case is handled without the reported version-mismatch failure.
Written by the indexing model from the issue text.
Description
torch.version = 2.1.0+cu121
Compiling cuda extensions with
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2023 NVIDIA Corporation
Built on Fri_Sep__8_19:17:24_PDT_2023
Cuda compilation tools, release 12.3, V12.3.52
Build cuda_12.3.r12.3/compiler.33281558_0
from /usr/local/cuda/bin
/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (2.0.7) or chardet (3.0.4) doesn't match a supported version!
warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "
Traceback (most recent call last):
File "setup.py", line 178, in
check_cuda_torch_binary_vs_bare_metal(CUDA_HOME)
File "setup.py", line 40, in check_cuda_torch_binary_vs_bare_metal
raise RuntimeError(
RuntimeError: Cuda extensions are being compiled with a version of Cuda that does not match the version used to compile Pytorch binaries. Pytorch binaries were compiled with Cuda 12.1.
In some cases, a minor-version mismatch will not cause later errors: https://github.com/NVIDIA/apex/pull/323#discussion_r287021798. You can try commenting out this check (at your own risk).
- Dominant language
- Python
- Stars
- 9k
- Forks
- 1.5k
- Avg merge
- 2d 4h
- Merged PRs (30d)
- 3
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