Skip to content
Nightly Tests

Nightly Tests #159

Sign in to view logs

Nightly Tests

Nightly Tests #159

Run time

Learn about OS pricing on GitHub Actions
Job Run time
CPU (windows, 2.11.0) / build
1m 10s
CPU (linux-x64, 2.11.0) / build
24s
CPU (macos, 2.10.0) / build
16s
CPU (linux-x64, icelake, 2.3.1) / build
18s
CPU (linux-aarch64, 2.10.0) / build
24s
CPU (macos, 2.11.0) / build
15s
CPU (linux-x64, icelake, 2.11.0) / build
16s
CPU (linux-x64, 2.3.1) / build
14s
CPU (linux-aarch64, 2.5.1) / build
14s
CPU (windows, 2.10.0) / build
42s
CPU (macos, 2.3.1) / build
15s
CPU (windows, 2.3.1) / build
51s
CPU (linux-x64, 2.10.0) / build
17s
CUDA (linux-x64, L40S, 13.0.2) / build
2m 41s
CUDA (linux-x64, A10, 11.8.0) / build
3m 23s
CPU (linux-aarch64, 2.11.0) / build
12s
CPU (linux-x64, icelake, 2.10.0) / build
16s
CUDA (linux-x64, T4, 13.2.0) / build
2m 46s
CUDA (windows, T4, 11.8.0, 2.6.0, https://download.pytorch.org/whl/cu118) / build
3m 36s
CUDA (linux-x64, A10, 13.2.0) / build
2m 53s
CUDA (linux-x64, A10, 12.6.3) / build
3m 9s
CUDA (linux-x64, T4, 12.8.1) / build
3m 36s
CUDA (linux-x64, L40S, 11.8.0) / build
4m 25s
CUDA (linux-x64, A10, 13.0.2) / build
3m 25s
CUDA (windows, T4, 11.8.0, 2.7.1, https://download.pytorch.org/whl/cu118) / build
4m 2s
CUDA (linux-x64, L40S, 12.8.1) / build
3m 16s
CUDA (linux-x64, T4, 13.0.2) / build
3m 47s
CUDA (linux-x64, T4, 12.6.3) / build
2m 48s
CUDA (linux-x64, T4, 11.8.0) / build
3m 46s
CUDA (linux-x64, L40S, 12.6.3) / build
3m 32s
CUDA (windows, T4, 11.8.0, 2.3.1, https://download.pytorch.org/whl/cu118) / build
4m 14s
CUDA (linux-x64, A10, 12.8.1) / build
3m 27s
CUDA (linux-x64, L40S, 13.2.0) / build
3m 46s
CPU (linux-aarch64, 2.11.0) / test
15m 29s
CPU (linux-x64, 2.3.1) / test
21m 9s
CPU (linux-aarch64, 2.5.1) / test
14m 44s
CPU (macos, 2.11.0) / test
21m 19s
CPU (macos, 2.3.1) / test
21m 9s
CPU (linux-x64, icelake, 2.11.0) / test
19m 8s
CPU (linux-x64, icelake, 2.10.0) / test
19m 7s
CPU (macos, 2.10.0) / test
26m 50s
CPU (linux-x64, 2.10.0) / test
25m 41s
CPU (linux-x64, icelake, 2.3.1) / test
18m 12s
CPU (linux-x64, 2.11.0) / test
26m 16s
CPU (linux-aarch64, 2.10.0) / test
14m 49s
CPU (windows, 2.10.0) / test
1h 5m 3s
CPU (windows, 2.3.1) / test
48m 55s
CPU (windows, 2.11.0) / test
48m 57s
CUDA (linux-x64, L40S, 13.0.2) / test
6m 1s
CUDA (linux-x64, T4, 13.2.0) / test
8m 27s
CUDA (linux-x64, T4, 12.6.3) / test
10m 39s
CUDA (linux-x64, A10, 13.2.0) / test
7m 2s
CUDA (linux-x64, A10, 12.6.3) / test
7m 27s
CUDA (linux-x64, L40S, 12.8.1) / test
6m 14s
CUDA (linux-x64, A10, 11.8.0) / test
4m 12s
CUDA (linux-x64, A10, 13.0.2) / test
7m 0s
CUDA (linux-x64, A10, 12.8.1) / test
7m 22s
CUDA (linux-x64, L40S, 12.6.3) / test
6m 26s
CUDA (linux-x64, T4, 12.8.1) / test
8m 34s
CUDA (windows, T4, 11.8.0, 2.6.0, https://download.pytorch.org/whl/cu118) / test
1m 24s
CUDA (linux-x64, T4, 11.8.0) / test
5m 20s
CUDA (linux-x64, T4, 13.0.2) / test
8m 35s
CUDA (linux-x64, L40S, 13.2.0) / test
5m 58s
CUDA (windows, T4, 11.8.0, 2.7.1, https://download.pytorch.org/whl/cu118) / test
2m 52s
CUDA (windows, T4, 11.8.0, 2.3.1, https://download.pytorch.org/whl/cu118) / test
1m 46s
CUDA (linux-x64, L40S, 11.8.0) / test
3m 34s
9h 44m 17s