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CI: Nightly optional-deps

CI: Nightly optional-deps #154

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CI: Nightly optional-deps

CI: Nightly optional-deps #154

Run time

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Job Run time
Nightly: CI tools for release
11s
find-wheels
7s
Nightly numba-cuda (linux-aarch64) / compute-matrix
4s
Nightly PyTorch (linux-aarch64) / compute-matrix
7s
Nightly numba-cuda (win-64) / compute-matrix
6s
Nightly PyTorch (win-64) / compute-matrix
7s
Nightly numba-cuda (linux-64) / compute-matrix
4s
Nightly PyTorch (linux-64) / compute-matrix
7s
Nightly numba-cuda-mlir (linux-64) / compute-matrix
5s
Nightly standard (linux-aarch64) / compute-matrix
6s
Nightly numba-cuda-mlir (win-64) / compute-matrix
5s
Nightly cuda-core (linux-64) / compute-matrix
6s
Nightly cuda-core (win-64) / compute-matrix
6s
Nightly numba-cuda (linux-aarch64) / Python 3.12, CUDA 12.9.1 (wheels), GPU l4, latest
2m 12s
Nightly numba-cuda (linux-aarch64) / Python 3.12, CUDA 13.3.0 (wheels), GPU l4, latest
2m 0s
Nightly numba-cuda (linux-64) / Python 3.12, CUDA 12.9.1 (wheels), GPU l4, latest
2m 52s
Nightly numba-cuda (linux-64) / Python 3.12, CUDA 13.3.0 (wheels), GPU l4, latest
4m 40s
Nightly numba-cuda-mlir (win-64) / Python 3.12, CUDA 12.9.1 (wheels), GPU rtxpro6000 (MCDM)
14m 47s
Nightly numba-cuda-mlir (win-64) / Python 3.12, CUDA 13.3.0 (wheels), GPU rtxpro6000 (MCDM)
17m 8s
Nightly numba-cuda-mlir (linux-64) / Python 3.12, CUDA 12.9.1 (wheels), GPU rtxpro6000
9m 6s
Nightly numba-cuda-mlir (linux-64) / Python 3.12, CUDA 13.3.0 (wheels), GPU rtxpro6000
11m 50s
Nightly numba-cuda (win-64) / Python 3.12, CUDA 13.3.0 (wheels), GPU l4 (TCC), latest
4m 41s
Nightly numba-cuda (win-64) / Python 3.12, CUDA 12.9.1 (wheels), GPU l4 (TCC), latest
3m 36s
Nightly PyTorch (win-64) / Python 3.12, CUDA 12.6.3 (wheels), GPU l4 (TCC), 2.9.1+cu126
5m 8s
Nightly PyTorch (win-64) / Python 3.12, CUDA 12.6.3 (wheels), GPU l4 (TCC), 2.12.1+cu126
8m 14s
Nightly PyTorch (win-64) / Python 3.12, CUDA 13.0.2 (wheels), GPU l4 (TCC), 2.12.1+cu130
4m 56s
Nightly PyTorch (win-64) / Python 3.12, CUDA 13.0.2 (wheels), GPU l4 (TCC), 2.9.1+cu130
8m 1s
Nightly standard (linux-aarch64) / Python 3.14, CUDA 13.3.0 (local), GPU gb300
8m 35s
Nightly standard (linux-aarch64) / Python 3.14, CUDA 13.3.0 (local), GPU l4 (x2)
9m 52s
Nightly standard (linux-aarch64) / Python 3.14t, CUDA 13.3.0 (local), GPU l4 (x2)
10m 35s
Nightly standard (linux-aarch64) / Python 3.13, CUDA 13.3.0 (local), GPU gh200
6m 57s
Nightly PyTorch (linux-64) / Python 3.12, CUDA 12.6.3 (wheels), GPU l4, 2.12.1+cu126
3m 49s
Nightly PyTorch (linux-64) / Python 3.12, CUDA 13.0.2 (wheels), GPU l4, 2.9.1+cu130
3m 17s
Nightly PyTorch (linux-64) / Python 3.12, CUDA 13.0.2 (wheels), GPU l4, 2.12.1+cu130
3m 16s
Nightly PyTorch (linux-64) / Python 3.12, CUDA 12.6.3 (wheels), GPU l4, 2.9.1+cu126
3m 47s
Nightly cuda-core (linux-64) / Python 3.12, CUDA 13.3.0 (wheels), GPU a100
2m 21s
Nightly PyTorch (linux-aarch64) / Python 3.12, CUDA 12.6.3 (wheels), GPU l4, 2.12.1+cu126
4m 31s
Nightly PyTorch (linux-aarch64) / Python 3.12, CUDA 13.0.2 (wheels), GPU l4, 2.12.1+cu130
3m 44s
Nightly PyTorch (linux-aarch64) / Python 3.12, CUDA 13.0.2 (wheels), GPU l4, 2.9.1+cu130
3m 11s
Nightly PyTorch (linux-aarch64) / Python 3.12, CUDA 12.6.3 (wheels), GPU l4, 2.9.1+cu126
3m 24s
Nightly cuda-core (win-64) / Python 3.14, CUDA 13.3.0 (wheels), GPU a100 (MCDM)
3m 36s
Nightly check status
3s
2h 51m 30s