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CI: Nightly optional-deps

Revert "cuda_pathfinder: pin nvshmem to <3.7 (was previously excludin… #82

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Revert "cuda_pathfinder: pin nvshmem to <3.7 (was previously excludin…

Revert "cuda_pathfinder: pin nvshmem to <3.7 (was previously excludin… #82

Run time

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Job Run time
find-wheels
7s
Nightly PyTorch (linux-aarch64) / compute-matrix
4s
Nightly PyTorch (win-64) / compute-matrix
4s
Nightly numba-cuda-mlir (win-64) / compute-matrix
5s
Nightly numba-cuda (linux-64) / compute-matrix
6s
Nightly cuda-core (linux-64) / compute-matrix
4s
Nightly PyTorch (linux-64) / compute-matrix
8s
Nightly numba-cuda (win-64) / compute-matrix
4s
Nightly cuda-core (win-64) / compute-matrix
5s
Nightly numba-cuda-mlir (linux-64) / compute-matrix
5s
Nightly numba-cuda (linux-aarch64) / compute-matrix
6s
Nightly standard (linux-aarch64) / compute-matrix
5s
Nightly PyTorch (win-64) / Python 3.12, CUDA 13.0.2 (wheels), GPU l4 (TCC), 2.9.1+cu130
24m 48s
Nightly PyTorch (win-64) / Python 3.12, CUDA 12.6.3 (wheels), GPU l4 (TCC), 2.9.1+cu126
24m 48s
Nightly PyTorch (win-64) / Python 3.12, CUDA 12.6.3 (wheels), GPU l4 (TCC), 2.12.1+cu126
24m 48s
Nightly PyTorch (win-64) / Python 3.12, CUDA 13.0.2 (wheels), GPU l4 (TCC), 2.12.1+cu130
24m 48s
Nightly cuda-core (linux-64) / Python 3.12, CUDA 13.3.0 (wheels), GPU a100
3m 43s
Nightly numba-cuda (win-64) / Python 3.12, CUDA 12.9.1 (wheels), GPU l4 (TCC), latest
24m 48s
Nightly numba-cuda (win-64) / Python 3.12, CUDA 13.3.0 (wheels), GPU l4 (TCC), latest
24m 48s
Nightly PyTorch (linux-aarch64) / Python 3.12, CUDA 13.0.2 (wheels), GPU l4, 2.9.1+cu130
2m 47s
Nightly PyTorch (linux-aarch64) / Python 3.12, CUDA 13.0.2 (wheels), GPU l4, 2.12.1+cu130
2m 53s
Nightly PyTorch (linux-aarch64) / Python 3.12, CUDA 12.6.3 (wheels), GPU l4, 2.9.1+cu126
3m 7s
Nightly PyTorch (linux-aarch64) / Python 3.12, CUDA 12.6.3 (wheels), GPU l4, 2.12.1+cu126
3m 15s
Nightly standard (linux-aarch64) / Python 3.14t, CUDA 13.3.0 (local), GPU l4 (x2)
6m 54s
Nightly numba-cuda-mlir (win-64) / Python 3.12, CUDA 12.9.1 (wheels), GPU rtxpro6000 (MCDM)
20m 7s
Nightly numba-cuda-mlir (win-64) / Python 3.12, CUDA 13.3.0 (wheels), GPU rtxpro6000 (MCDM)
16m 2s
Nightly cuda-core (win-64) / Python 3.14, CUDA 13.3.0 (wheels), GPU a100 (MCDM)
5m 1s
Nightly standard (linux-aarch64) / Python 3.14, CUDA 13.3.0 (local), GPU l4 (x2)
6m 10s
Nightly numba-cuda-mlir (linux-64) / Python 3.12, CUDA 12.9.1 (wheels), GPU rtxpro6000
10m 0s
Nightly numba-cuda-mlir (linux-64) / Python 3.12, CUDA 13.3.0 (wheels), GPU rtxpro6000
9m 32s
Nightly numba-cuda (linux-aarch64) / Python 3.12, CUDA 13.3.0 (wheels), GPU l4, latest
24m 46s
Nightly numba-cuda (linux-aarch64) / Python 3.12, CUDA 12.9.1 (wheels), GPU l4, latest
24m 46s
Nightly numba-cuda (linux-64) / Python 3.12, CUDA 12.9.1 (wheels), GPU l4, latest
24m 45s
Nightly numba-cuda (linux-64) / Python 3.12, CUDA 13.3.0 (wheels), GPU l4, latest
24m 45s
Nightly PyTorch (linux-64) / Python 3.12, CUDA 13.0.2 (wheels), GPU l4, 2.12.1+cu130
24m 44s
Nightly PyTorch (linux-64) / Python 3.12, CUDA 12.6.3 (wheels), GPU l4, 2.12.1+cu126
24m 44s
Nightly PyTorch (linux-64) / Python 3.12, CUDA 13.0.2 (wheels), GPU l4, 2.9.1+cu130
24m 44s
Nightly PyTorch (linux-64) / Python 3.12, CUDA 12.6.3 (wheels), GPU l4, 2.9.1+cu126
24m 44s
Nightly check status
4s
7h 17m 24s