Stuck on an issue?
Lightrun Answers was designed to reduce the constant googling that comes with debugging 3rd party libraries. It collects links to all the places you might be looking at while hunting down a tough bug.
And, if you’re still stuck at the end, we’re happy to hop on a call to see how we can help out.
CUDA 11.2 Support
See original GitHub issueTasks:
- Read CUDA Release Notes.
- Update CUDA driver in Linux (Jenkins) / Windows (FlexCI) test infrastructure (ask @kmaehashi).
- Update chainer-test to include the CUDA version. https://github.com/chainer/chainer-test/pull/635
- Update CuPy code to support the CUDA version.
- Compute capability support: Check NVRTC Reference (–gpu-architecture option) and change the minimum value of supported compute capability defined in cupy/cuda/compiler.py if needed. https://github.com/cupy/cupy/pull/4702
- Update bundled FP16 header files. Copy FP16 header files to
cupy/core/include/cupy/_cuda/, then updatecupy/core/core.pyxto use it. https://github.com/cupy/cupy/pull/4702 - Backport. https://github.com/cupy/cupy/pull/4708
- Update the library installer
- Fix
cupyx/tools/install_library.pyhttps://github.com/cupy/cupy/pull/4680 - Backport https://github.com/cupy/cupy/pull/4703
- Fix
- Wheel distribution
- Update cupy-release-tools https://github.com/cupy/cupy-release-tools/pull/66
- Ask PyPI team to increase the limit (ask @kmaehashi) https://github.com/pypa/pypi-support/issues/939
- Documentation
- Update Requirmenets section in Installtion Guide https://github.com/cupy/cupy/pull/4705
- Add new wheel package to
README.md. https://github.com/cupy/cupy/pull/4705 - Backport of the two #4716
- Add new wheel package to the website. https://github.com/cupy/cupy.dev/pull/32
Additional tasks:
- https://github.com/cupy/cupy/pull/4698 and backport #4701
Issue Analytics
- State:
- Created 3 years ago
- Comments:13 (11 by maintainers)
Top Results From Across the Web
cuda-toolkit-release-notes 12.0 documentation
JIT LTO support in the CUDA Driver through the cuLink driver APIs is officially deprecated. Driver JIT LTO will be available only for...
Read more >Install CUDA 11.2, cuDNN 8.1.0, PyTorch v1.8.0 (or ... - Medium
After installation, you can check your library version as the following. Notably, since the current stable PyTorch version only supports CUDA 11.1, then,...
Read more >Support CUDA 11.2 · Issue #50232 - GitHub
This issue will track the current progress on adding CUDA 11.2 support. Installing to conda-cuda and libtorch containers ...
Read more >gpu - Does CUDA 11.2 supports backward compatibility with ...
Yes, it is possible for an application compiled with CUDA 10.2 to run in an environment that has CUDA 11.2 installed.
Read more >Want to install pytorch for custom cuda version (cuda =11.2)
2 , I just want to keep my installations minimum and don't wan't to install different cuda versions for pytorch and tensorflow. so...
Read more >
Top Related Medium Post
No results found
Top Related StackOverflow Question
No results found
Troubleshoot Live Code
Lightrun enables developers to add logs, metrics and snapshots to live code - no restarts or redeploys required.
Start Free
Top Related Reddit Thread
No results found
Top Related Hackernoon Post
No results found
Top Related Tweet
No results found
Top Related Dev.to Post
No results found
Top Related Hashnode Post
No results found
@takagi Could you please work on this?
btw CUDA 11.2.1 is out…