Support CUDA 11.5.1
See original GitHub issueTasks
- Read CUDA Release Notes.
- Update CUDA driver in FlexCI (Linux/Windows) test infrastructure (ask @kmaehashi). -> not needed
- ~Add FlexCI configuration for the CUDA version.~
- 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
) and_cc_major_map
incupy/fft/_callback.pyx
, if needed. #6166 - Check NVCC Reference (–generate-code) and change the list of architectures in cupy_setup_build.py (
_arch_list
) if needed. #6166 - Backport. #6331
- 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.~ - ~Backport.~
- ~Copy FP16 header files to
- ~Update library installer.~
- ~Fix
cupyx/tools/install_library.py
.~ - ~Backport.~
- ~Fix
- ~Wheel distribution~
- ~Update cupy-release-tools. https://github.com/cupy/cupy-release-tools/pull/221~
- ~Add the package to duplicate detection.~
- ~Backport.~
- ~Documentation~
- ~Add new wheel package to Installation Guide and
README.md
. Update requirements in the installation guide.~ - ~Backport.~
- ~Add new wheel package to the website.~
- ~Add new wheel package to Installation Guide and
- ~Implement or create an issue to support new features, if applicable.~
Issue Analytics
- State:
- Created 2 years ago
- Reactions:1
- Comments:6 (6 by maintainers)
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Top GitHub Comments
Yes, please check with
nvrtcGetSupportedArchs()
. NVRTC docs are not fully up-to-date and I’ve brought it to internal attention a while ago. For example,sm_86
/compute_86
are also missing (but they’ve been supported since early 11.x).