Support CUDA 11.3
See original GitHub issueTasks
- Read CUDA Release Notes.
- Update CUDA driver in Linux (Jenkins) / Windows (FlexCI) test infrastructure (ask @kmaehashi). -> ongoing
- Update chainer-test to test the CUDA version. https://github.com/chainer/chainer-test/pull/658
- Update compute capability support.
- Check NVRTC Reference (–gpu-architecture option) and change the maximum value of supported compute capability defined in cupy/cuda/compiler.py (
_nvrtc_max_compute_capability
) if needed. -> no changes needed - Check NVCC Reference (–generate-code) and change the list of architectures in cupy_setup_build.py (
_arch_list
) if needed. -> no changes needed - Backport. -> not needed
- Check NVRTC Reference (–gpu-architecture option) and change the maximum value of supported compute capability defined in cupy/cuda/compiler.py (
- Update bundled FP16 header files.
- Copy FP16 header files to
cupy/core/include/cupy/_cuda/
, then updatecupy/core/core.pyx
to use it. https://github.com/cupy/cupy/pull/5218 - Backport. #5232
- Copy FP16 header files to
- Update library installer.
- Fix
cupyx/tools/install_library.py
. https://github.com/cupy/cupy/pull/5219 - Backport. #5235
- Fix
- Wheel distribution -> https://github.com/cupy/cupy-release-tools/pull/111
- Update cupy-release-tools. https://github.com/cupy/cupy-release-tools/pull/111
- Ask PyPI team to increase the limit.
- Documentation
- Add new wheel package to Installtion Guide and
README.md
. Update requirements in the installation guide. https://github.com/cupy/cupy/pull/5220 - Backport.
- Add new wheel package to the website. https://github.com/cupy/cupy.dev/pull/45
- Add new wheel package to Installtion Guide and
- Implement new features using the version, if any.
Blocked by https://github.com/cupy/cupy/issues/5105
Issue Analytics
- State:
- Created 2 years ago
- Reactions:7
- Comments:5 (5 by maintainers)
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Top GitHub Comments
FYI: Using driver from 11.2 and runtime from 11.3 is not going to work:
Error 1:
Error 2:
I think we hard-wired
CUDA_VERSION
in a few places (saydriver.get_build_version()
). We may need to verify if building on CUDA 11.2 and running on 11.3 is OK (I guess so).