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CI: Nightly optional-deps

CI: Nightly optional-deps #90

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CI: Nightly optional-deps

CI: Nightly optional-deps #90

Run time

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Job Run time
find-wheels
7s
Nightly: CI tools for release
5s
Nightly PyTorch (linux-aarch64) / compute-matrix
4s
Nightly numba-cuda-mlir (linux-64) / compute-matrix
5s
Nightly PyTorch (win-64) / compute-matrix
4s
Nightly numba-cuda (win-64) / compute-matrix
6s
Nightly numba-cuda (linux-64) / compute-matrix
4s
Nightly numba-cuda (linux-aarch64) / compute-matrix
4s
Nightly cuda-core (win-64) / compute-matrix
7s
Nightly numba-cuda-mlir (win-64) / compute-matrix
6s
Nightly PyTorch (linux-64) / compute-matrix
6s
Nightly cuda-core (linux-64) / compute-matrix
4s
Nightly standard (linux-aarch64) / compute-matrix
7s
Nightly cuda-core (linux-64) / Python 3.12, CUDA 13.3.0 (wheels), GPU a100
3m 36s
Nightly PyTorch (win-64) / Python 3.12, CUDA 13.0.2 (wheels), GPU l4 (TCC), 2.9.1+cu130
6m 45s
Nightly PyTorch (win-64) / Python 3.12, CUDA 12.6.3 (wheels), GPU l4 (TCC), 2.12.1+cu126
7m 13s
Nightly PyTorch (win-64) / Python 3.12, CUDA 13.0.2 (wheels), GPU l4 (TCC), 2.12.1+cu130
6m 53s
Nightly PyTorch (win-64) / Python 3.12, CUDA 12.6.3 (wheels), GPU l4 (TCC), 2.9.1+cu126
7m 48s
Nightly numba-cuda (linux-aarch64) / Python 3.12, CUDA 13.3.0 (wheels), GPU l4, latest
9m 25s
Nightly numba-cuda (linux-aarch64) / Python 3.12, CUDA 12.9.1 (wheels), GPU l4, latest
9m 44s
Nightly numba-cuda (linux-64) / Python 3.12, CUDA 13.3.0 (wheels), GPU l4, latest
4m 18s
Nightly numba-cuda (linux-64) / Python 3.12, CUDA 12.9.1 (wheels), GPU l4, latest
8m 13s
Nightly PyTorch (linux-aarch64) / Python 3.12, CUDA 12.6.3 (wheels), GPU l4, 2.12.1+cu126
3m 4s
Nightly PyTorch (linux-aarch64) / Python 3.12, CUDA 13.0.2 (wheels), GPU l4, 2.12.1+cu130
2m 40s
Nightly PyTorch (linux-aarch64) / Python 3.12, CUDA 12.6.3 (wheels), GPU l4, 2.9.1+cu126
3m 15s
Nightly PyTorch (linux-aarch64) / Python 3.12, CUDA 13.0.2 (wheels), GPU l4, 2.9.1+cu130
2m 32s
Nightly numba-cuda-mlir (linux-64) / Python 3.12, CUDA 13.3.0 (wheels), GPU rtxpro6000
9m 33s
Nightly numba-cuda-mlir (linux-64) / Python 3.12, CUDA 12.9.1 (wheels), GPU rtxpro6000
9m 15s
Nightly numba-cuda-mlir (win-64) / Python 3.12, CUDA 13.3.0 (wheels), GPU rtxpro6000 (MCDM)
53s
Nightly numba-cuda-mlir (win-64) / Python 3.12, CUDA 12.9.1 (wheels), GPU rtxpro6000 (MCDM)
14m 43s
Nightly numba-cuda (win-64) / Python 3.12, CUDA 12.9.1 (wheels), GPU l4 (TCC), latest
14m 15s
Nightly numba-cuda (win-64) / Python 3.12, CUDA 13.3.0 (wheels), GPU l4 (TCC), latest
49s
Nightly cuda-core (win-64) / Python 3.14, CUDA 13.3.0 (wheels), GPU a100 (MCDM)
5m 52s
Nightly standard (linux-aarch64) / Python 3.14t, CUDA 13.3.0 (local), GPU l4 (x2)
7m 38s
Nightly standard (linux-aarch64) / Python 3.14, CUDA 13.3.0 (local), GPU l4 (x2)
7m 18s
Nightly PyTorch (linux-64) / Python 3.12, CUDA 13.0.2 (wheels), GPU l4, 2.12.1+cu130
2m 50s
Nightly PyTorch (linux-64) / Python 3.12, CUDA 13.0.2 (wheels), GPU l4, 2.9.1+cu130
2m 47s
Nightly PyTorch (linux-64) / Python 3.12, CUDA 12.6.3 (wheels), GPU l4, 2.9.1+cu126
3m 30s
Nightly PyTorch (linux-64) / Python 3.12, CUDA 12.6.3 (wheels), GPU l4, 2.12.1+cu126
3m 38s
Nightly check status
2s
2h 39m 38s