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CI: Nightly optional-deps

CI: deselect known pre-existing failures in nightly-cuda-core and nig… #80

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CI: deselect known pre-existing failures in nightly-cuda-core and nig…

CI: deselect known pre-existing failures in nightly-cuda-core and nig… #80

Run time

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Job Run time
find-wheels
7s
Nightly PyTorch (linux-aarch64) / compute-matrix
7s
Nightly numba-cuda (linux-64) / compute-matrix
4s
Nightly PyTorch (win-64) / compute-matrix
5s
Nightly numba-cuda (linux-aarch64) / compute-matrix
5s
Nightly PyTorch (linux-64) / compute-matrix
7s
Nightly numba-cuda-mlir (win-64) / compute-matrix
5s
Nightly numba-cuda (win-64) / compute-matrix
7s
Nightly cuda-core (linux-64) / compute-matrix
7s
Nightly standard (linux-aarch64) / compute-matrix
5s
Nightly cuda-core (win-64) / compute-matrix
7s
Nightly numba-cuda-mlir (linux-64) / compute-matrix
5s
Nightly numba-cuda (linux-64) / Python 3.12, CUDA 12.9.1 (wheels), GPU l4, latest
9m 42s
Nightly numba-cuda (linux-64) / Python 3.12, CUDA 13.3.0 (wheels), GPU l4, latest
10m 2s
Nightly standard (linux-aarch64) / Python 3.14t, CUDA 13.3.0 (local), GPU l4 (x2)
7m 54s
Nightly standard (linux-aarch64) / Python 3.14, CUDA 13.3.0 (local), GPU l4 (x2)
1m 52s
Nightly numba-cuda-mlir (win-64) / Python 3.12, CUDA 12.9.1 (wheels), GPU rtxpro6000 (MCDM)
14m 51s
Nightly numba-cuda-mlir (win-64) / Python 3.12, CUDA 13.3.0 (wheels), GPU rtxpro6000 (MCDM)
17m 30s
Nightly numba-cuda (linux-aarch64) / Python 3.12, CUDA 12.9.1 (wheels), GPU l4, latest
10m 41s
Nightly numba-cuda (linux-aarch64) / Python 3.12, CUDA 13.3.0 (wheels), GPU l4, latest
6m 32s
Nightly numba-cuda-mlir (linux-64) / Python 3.12, CUDA 12.9.1 (wheels), GPU rtxpro6000
12m 2s
Nightly numba-cuda-mlir (linux-64) / Python 3.12, CUDA 13.3.0 (wheels), GPU rtxpro6000
9m 31s
Nightly PyTorch (win-64) / Python 3.12, CUDA 13.0.2 (wheels), GPU l4 (TCC), 2.12.1+cu130
7m 17s
Nightly PyTorch (win-64) / Python 3.12, CUDA 12.6.3 (wheels), GPU l4 (TCC), 2.12.1+cu126
8m 29s
Nightly PyTorch (win-64) / Python 3.12, CUDA 13.0.2 (wheels), GPU l4 (TCC), 2.9.1+cu130
6m 43s
Nightly PyTorch (win-64) / Python 3.12, CUDA 12.6.3 (wheels), GPU l4 (TCC), 2.9.1+cu126
7m 52s
Nightly PyTorch (linux-aarch64) / Python 3.12, CUDA 12.6.3 (wheels), GPU l4, 2.12.1+cu126
1m 55s
Nightly PyTorch (linux-aarch64) / Python 3.12, CUDA 12.6.3 (wheels), GPU l4, 2.9.1+cu126
2m 18s
Nightly PyTorch (linux-aarch64) / Python 3.12, CUDA 13.0.2 (wheels), GPU l4, 2.12.1+cu130
19m 54s
Nightly PyTorch (linux-aarch64) / Python 3.12, CUDA 13.0.2 (wheels), GPU l4, 2.9.1+cu130
2m 46s
Nightly cuda-core (linux-64) / Python 3.12, CUDA 13.3.0 (wheels), GPU a100
3m 32s
Nightly cuda-core (win-64) / Python 3.14, CUDA 13.3.0 (wheels), GPU a100 (MCDM)
5m 7s
Nightly numba-cuda (win-64) / Python 3.12, CUDA 13.3.0 (wheels), GPU l4 (TCC), latest
19m 52s
Nightly numba-cuda (win-64) / Python 3.12, CUDA 12.9.1 (wheels), GPU l4 (TCC), latest
19m 52s
Nightly PyTorch (linux-64) / Python 3.12, CUDA 12.6.3 (wheels), GPU l4, 2.9.1+cu126
3m 22s
Nightly PyTorch (linux-64) / Python 3.12, CUDA 13.0.2 (wheels), GPU l4, 2.9.1+cu130
2m 55s
Nightly PyTorch (linux-64) / Python 3.12, CUDA 12.6.3 (wheels), GPU l4, 2.12.1+cu126
3m 26s
Nightly PyTorch (linux-64) / Python 3.12, CUDA 13.0.2 (wheels), GPU l4, 2.12.1+cu130
2m 54s
Nightly check status
3s
3h 40m 5s