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Set up a public, GitHub-Action-based CI infrastructure #81
Description
OS/Archs:
### Tasks
- [x] linux-64, 1 GPU
- [x] linux-aarch64, 1 GPU
- [x] win-64, 1 GPU
- [x] linux-64, 2 GPUs
- [ ] https://github.com/NVIDIA/cuda-python/issues/276
- [ ] https://github.com/NVIDIA/cuda-python/issues/277
Requirements ("public test matrix"):
- Python: 3.9, 3.10, 3.11, 3.12
- CUDA driver version: 11 & 12
- CUDA Toolkit version: 11.8 & 12.3+
Activity
m3vaz commentedon Aug 1, 2024
The linux-64 1xGPU config we should be able to start with, the rest we'll either need to share capacity from other pools or otherwise rack and stack.
sandeepd-nv commentedon Aug 5, 2024
Please review initial set of changes here: #83 and #84.
leofang commentedon Dec 8, 2024
The first four tasks are done (single-GPU CI for all supported platforms + multi-GPU CI for linux-64), see #267 (build) & #124 (test). The remaining two tasks are currently blocked by lack of multi-GPU runners for linux-aarch64 / win-64 (cc: @ajschmidt8 @m3vaz for vis). Let's mark this task as done and track the remaining CI improvements separately.
`path_finder` and cybind updates for CTK 13.0 (NVIDIA#81)
This trivial change should have been included in PR NVIDIA#81, but wa…
Update `cuda.bindings` to 13.0.0 (#792)