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CI: Nightly optional-deps

CI: Nightly optional-deps #104

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CI: Nightly optional-deps

CI: Nightly optional-deps #104

Run time

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Job Run time
Nightly: CI tools for release
7s
find-wheels
8s
Nightly numba-cuda (linux-aarch64) / compute-matrix
5s
Nightly PyTorch (win-64) / compute-matrix
4s
Nightly PyTorch (linux-aarch64) / compute-matrix
6s
Nightly numba-cuda (win-64) / compute-matrix
4s
Nightly numba-cuda-mlir (linux-64) / compute-matrix
7s
Nightly numba-cuda (linux-64) / compute-matrix
5s
Nightly PyTorch (linux-64) / compute-matrix
6s
Nightly standard (linux-aarch64) / compute-matrix
5s
Nightly cuda-core (win-64) / compute-matrix
5s
Nightly cuda-core (linux-64) / compute-matrix
7s
Nightly numba-cuda-mlir (win-64) / compute-matrix
6s
Nightly PyTorch (win-64) / Python 3.12, CUDA 13.0.2 (wheels), GPU l4 (TCC), 2.12.1+cu130
7m 7s
Nightly PyTorch (win-64) / Python 3.12, CUDA 12.6.3 (wheels), GPU l4 (TCC), 2.9.1+cu126
7m 37s
Nightly PyTorch (win-64) / Python 3.12, CUDA 13.0.2 (wheels), GPU l4 (TCC), 2.9.1+cu130
6m 32s
Nightly PyTorch (win-64) / Python 3.12, CUDA 12.6.3 (wheels), GPU l4 (TCC), 2.12.1+cu126
7m 20s
Nightly cuda-core (win-64) / Python 3.14, CUDA 13.3.0 (wheels), GPU a100 (MCDM)
4m 37s
Nightly numba-cuda (linux-aarch64) / Python 3.12, CUDA 13.3.0 (wheels), GPU l4, latest
9m 27s
Nightly numba-cuda (linux-aarch64) / Python 3.12, CUDA 12.9.1 (wheels), GPU l4, latest
6m 22s
Nightly PyTorch (linux-aarch64) / Python 3.12, CUDA 12.6.3 (wheels), GPU l4, 2.12.1+cu126
3m 9s
Nightly PyTorch (linux-aarch64) / Python 3.12, CUDA 13.0.2 (wheels), GPU l4, 2.9.1+cu130
2m 46s
Nightly PyTorch (linux-aarch64) / Python 3.12, CUDA 12.6.3 (wheels), GPU l4, 2.9.1+cu126
3m 14s
Nightly PyTorch (linux-aarch64) / Python 3.12, CUDA 13.0.2 (wheels), GPU l4, 2.12.1+cu130
2m 52s
Nightly numba-cuda (win-64) / Python 3.12, CUDA 12.9.1 (wheels), GPU l4 (TCC), latest
6m 15s
Nightly numba-cuda (win-64) / Python 3.12, CUDA 13.3.0 (wheels), GPU l4 (TCC), latest
16m 17s
Nightly numba-cuda-mlir (win-64) / Python 3.12, CUDA 12.9.1 (wheels), GPU rtxpro6000 (MCDM)
27m 11s
Nightly numba-cuda-mlir (win-64) / Python 3.12, CUDA 13.3.0 (wheels), GPU rtxpro6000 (MCDM)
24m 23s
Nightly numba-cuda (linux-64) / Python 3.12, CUDA 12.9.1 (wheels), GPU l4, latest
5m 37s
Nightly numba-cuda (linux-64) / Python 3.12, CUDA 13.3.0 (wheels), GPU l4, latest
10m 3s
Nightly standard (linux-aarch64) / Python 3.14, CUDA 13.3.0 (local), GPU gb300
6m 1s
Nightly standard (linux-aarch64) / Python 3.14t, CUDA 13.3.0 (local), GPU l4 (x2)
8m 17s
Nightly standard (linux-aarch64) / Python 3.14, CUDA 13.3.0 (local), GPU l4 (x2)
7m 31s
Nightly standard (linux-aarch64) / Python 3.13, CUDA 13.3.0 (local), GPU gh200
4m 55s
Nightly PyTorch (linux-64) / Python 3.12, CUDA 12.6.3 (wheels), GPU l4, 2.12.1+cu126
3m 47s
Nightly PyTorch (linux-64) / Python 3.12, CUDA 13.0.2 (wheels), GPU l4, 2.9.1+cu130
2m 54s
Nightly PyTorch (linux-64) / Python 3.12, CUDA 13.0.2 (wheels), GPU l4, 2.12.1+cu130
3m 3s
Nightly PyTorch (linux-64) / Python 3.12, CUDA 12.6.3 (wheels), GPU l4, 2.9.1+cu126
3m 34s
Nightly cuda-core (linux-64) / Python 3.12, CUDA 13.3.0 (wheels), GPU a100
3m 45s
Nightly numba-cuda-mlir (linux-64) / Python 3.12, CUDA 12.9.1 (wheels), GPU rtxpro6000
13m 8s
Nightly numba-cuda-mlir (linux-64) / Python 3.12, CUDA 13.3.0 (wheels), GPU rtxpro6000
13m 47s
Nightly check status
2s
3h 42m 48s