Remove nvks runners from testing pool. #3580

alliepiper · 2025-01-29T16:12:39Z

This should be merged ASAP to unblock pending PRs that are stuck using an invalid pool name.

github-actions · 2025-01-29T17:24:20Z

🟩 CI finished in 1h 09m: Pass: 100%/156 | Total: 1d 01h | Avg: 9m 45s | Max: 1h 02m | Hits: 546%/21523

🟩 cub: Pass: 100%/44 | Total: 8h 28m | Avg: 11m 33s | Max: 1h 02m | Hits: 540%/3552

🟩 cpu
  🟩 amd64              Pass: 100%/42  | Total:  8h 18m | Avg: 11m 52s | Max:  1h 02m | Hits: 540%/3552  
  🟩 arm64              Pass: 100%/2   | Total:  9m 49s | Avg:  4m 54s | Max:  5m 05s
🟩 ctk
  🟩 12.0               Pass: 100%/5   | Total: 45m 36s | Avg:  9m 07s | Max: 24m 14s | Hits: 540%/888   
  🟩 12.5               Pass: 100%/2   | Total: 18m 26s | Avg:  9m 13s | Max:  9m 16s
  🟩 12.6               Pass: 100%/37  | Total:  7h 24m | Avg: 12m 00s | Max:  1h 02m | Hits: 540%/2664  
🟩 cudacxx
  🟩 ClangCUDA18        Pass: 100%/2   | Total:  9m 03s | Avg:  4m 31s | Max:  4m 33s
  🟩 nvcc12.0           Pass: 100%/5   | Total: 45m 36s | Avg:  9m 07s | Max: 24m 14s | Hits: 540%/888   
  🟩 nvcc12.5           Pass: 100%/2   | Total: 18m 26s | Avg:  9m 13s | Max:  9m 16s
  🟩 nvcc12.6           Pass: 100%/35  | Total:  7h 15m | Avg: 12m 26s | Max:  1h 02m | Hits: 540%/2664  
🟩 cudacxx_family
  🟩 ClangCUDA          Pass: 100%/2   | Total:  9m 03s | Avg:  4m 31s | Max:  4m 33s
  🟩 nvcc               Pass: 100%/42  | Total:  8h 19m | Avg: 11m 53s | Max:  1h 02m | Hits: 540%/3552  
🟩 cxx
  🟩 Clang14            Pass: 100%/4   | Total: 21m 35s | Avg:  5m 23s | Max:  5m 45s
  🟩 Clang15            Pass: 100%/2   | Total: 11m 53s | Avg:  5m 56s | Max:  6m 01s
  🟩 Clang16            Pass: 100%/2   | Total: 11m 46s | Avg:  5m 53s | Max:  5m 59s
  🟩 Clang17            Pass: 100%/2   | Total: 11m 33s | Avg:  5m 46s | Max:  5m 52s
  🟩 Clang18            Pass: 100%/7   | Total:  1h 23m | Avg: 11m 51s | Max: 34m 22s
  🟩 GCC7               Pass: 100%/2   | Total: 11m 03s | Avg:  5m 31s | Max:  5m 44s
  🟩 GCC8               Pass: 100%/1   | Total:  5m 39s | Avg:  5m 39s | Max:  5m 39s
  🟩 GCC9               Pass: 100%/2   | Total: 11m 37s | Avg:  5m 48s | Max:  6m 03s
  🟩 GCC10              Pass: 100%/2   | Total: 12m 15s | Avg:  6m 07s | Max:  6m 23s
  🟩 GCC11              Pass: 100%/2   | Total: 11m 27s | Avg:  5m 43s | Max:  5m 49s
  🟩 GCC12              Pass: 100%/4   | Total: 36m 29s | Avg:  9m 07s | Max: 19m 27s
  🟩 GCC13              Pass: 100%/8   | Total:  2h 27m | Avg: 18m 22s | Max:  1h 02m
  🟩 MSVC14.29          Pass: 100%/2   | Total: 51m 45s | Avg: 25m 52s | Max: 27m 31s | Hits: 540%/1776  
  🟩 MSVC14.39          Pass: 100%/2   | Total:  1h 02m | Avg: 31m 27s | Max: 32m 28s | Hits: 540%/1776  
  🟩 NVHPC24.7          Pass: 100%/2   | Total: 18m 26s | Avg:  9m 13s | Max:  9m 16s
🟩 cxx_family
  🟩 Clang              Pass: 100%/17  | Total:  2h 19m | Avg:  8m 13s | Max: 34m 22s
  🟩 GCC                Pass: 100%/21  | Total:  3h 55m | Avg: 11m 13s | Max:  1h 02m
  🟩 MSVC               Pass: 100%/4   | Total:  1h 54m | Avg: 28m 39s | Max: 32m 28s | Hits: 540%/3552  
  🟩 NVHPC              Pass: 100%/2   | Total: 18m 26s | Avg:  9m 13s | Max:  9m 16s
🟩 gpu
  🟩 h100               Pass: 100%/2   | Total: 23m 51s | Avg: 11m 55s | Max: 19m 27s
  🟩 v100               Pass: 100%/42  | Total:  8h 04m | Avg: 11m 32s | Max:  1h 02m | Hits: 540%/3552  
🟩 jobs
  🟩 Build              Pass: 100%/37  | Total:  5h 05m | Avg:  8m 15s | Max: 32m 28s | Hits: 540%/3552  
  🟩 DeviceLaunch       Pass: 100%/1   | Total: 23m 10s | Avg: 23m 10s | Max: 23m 10s
  🟩 GraphCapture       Pass: 100%/1   | Total: 17m 46s | Avg: 17m 46s | Max: 17m 46s
  🟩 HostLaunch         Pass: 100%/3   | Total:  1h 16m | Avg: 25m 27s | Max: 34m 22s
  🟩 TestGPU            Pass: 100%/2   | Total:  1h 25m | Avg: 42m 51s | Max:  1h 02m
🟩 sm
  🟩 90                 Pass: 100%/2   | Total: 23m 51s | Avg: 11m 55s | Max: 19m 27s
  🟩 90a                Pass: 100%/1   | Total:  4m 10s | Avg:  4m 10s | Max:  4m 10s
🟩 std
  🟩 17                 Pass: 100%/20  | Total:  3h 03m | Avg:  9m 09s | Max: 30m 26s | Hits: 540%/2664  
  🟩 20                 Pass: 100%/24  | Total:  5h 25m | Avg: 13m 33s | Max:  1h 02m | Hits: 540%/888

🟩 libcudacxx: Pass: 100%/43 | Total: 6h 50m | Avg: 9m 32s | Max: 30m 54s | Hits: 688%/10065

🟩 cpu
  🟩 amd64              Pass: 100%/41  | Total:  6h 42m | Avg:  9m 49s | Max: 30m 54s | Hits: 688%/10065 
  🟩 arm64              Pass: 100%/2   | Total:  7m 17s | Avg:  3m 38s | Max:  3m 53s
🟩 ctk
  🟩 12.0               Pass: 100%/5   | Total: 34m 56s | Avg:  6m 59s | Max: 20m 27s | Hits: 689%/2471  
  🟩 12.5               Pass: 100%/2   | Total: 18m 31s | Avg:  9m 15s | Max: 10m 39s
  🟩 12.6               Pass: 100%/36  | Total:  5h 56m | Avg:  9m 54s | Max: 30m 54s | Hits: 688%/7594  
🟩 cudacxx
  🟩 ClangCUDA18        Pass: 100%/4   | Total:  1h 13m | Avg: 18m 18s | Max: 24m 16s
  🟩 nvcc12.0           Pass: 100%/5   | Total: 34m 56s | Avg:  6m 59s | Max: 20m 27s | Hits: 689%/2471  
  🟩 nvcc12.5           Pass: 100%/2   | Total: 18m 31s | Avg:  9m 15s | Max: 10m 39s
  🟩 nvcc12.6           Pass: 100%/32  | Total:  4h 43m | Avg:  8m 51s | Max: 30m 54s | Hits: 688%/7594  
🟩 cudacxx_family
  🟩 ClangCUDA          Pass: 100%/4   | Total:  1h 13m | Avg: 18m 18s | Max: 24m 16s
  🟩 nvcc               Pass: 100%/39  | Total:  5h 37m | Avg:  8m 38s | Max: 30m 54s | Hits: 688%/10065 
🟩 cxx
  🟩 Clang14            Pass: 100%/4   | Total: 16m 16s | Avg:  4m 04s | Max:  4m 29s
  🟩 Clang15            Pass: 100%/2   | Total:  8m 55s | Avg:  4m 27s | Max:  4m 43s
  🟩 Clang16            Pass: 100%/2   | Total:  8m 28s | Avg:  4m 14s | Max:  4m 19s
  🟩 Clang17            Pass: 100%/2   | Total:  8m 28s | Avg:  4m 14s | Max:  4m 21s
  🟩 Clang18            Pass: 100%/8   | Total:  1h 50m | Avg: 13m 51s | Max: 24m 44s
  🟩 GCC7               Pass: 100%/2   | Total:  6m 57s | Avg:  3m 28s | Max:  3m 33s
  🟩 GCC8               Pass: 100%/1   | Total:  3m 47s | Avg:  3m 47s | Max:  3m 47s
  🟩 GCC9               Pass: 100%/2   | Total:  7m 12s | Avg:  3m 36s | Max:  3m 44s
  🟩 GCC10              Pass: 100%/2   | Total:  7m 36s | Avg:  3m 48s | Max:  3m 57s
  🟩 GCC11              Pass: 100%/2   | Total:  7m 10s | Avg:  3m 35s | Max:  3m 37s
  🟩 GCC12              Pass: 100%/2   | Total:  7m 39s | Avg:  3m 49s | Max:  3m 55s
  🟩 GCC13              Pass: 100%/8   | Total:  1h 36m | Avg: 12m 01s | Max: 27m 46s
  🟩 MSVC14.29          Pass: 100%/2   | Total: 43m 56s | Avg: 21m 58s | Max: 23m 29s | Hits: 689%/4952  
  🟩 MSVC14.39          Pass: 100%/2   | Total: 58m 23s | Avg: 29m 11s | Max: 30m 54s | Hits: 688%/5113  
  🟩 NVHPC24.7          Pass: 100%/2   | Total: 18m 31s | Avg:  9m 15s | Max: 10m 39s
🟩 cxx_family
  🟩 Clang              Pass: 100%/18  | Total:  2h 32m | Avg:  8m 29s | Max: 24m 44s
  🟩 GCC                Pass: 100%/19  | Total:  2h 16m | Avg:  7m 11s | Max: 27m 46s
  🟩 MSVC               Pass: 100%/4   | Total:  1h 42m | Avg: 25m 34s | Max: 30m 54s | Hits: 688%/10065 
  🟩 NVHPC              Pass: 100%/2   | Total: 18m 31s | Avg:  9m 15s | Max: 10m 39s
🟩 gpu
  🟩 v100               Pass: 100%/43  | Total:  6h 50m | Avg:  9m 32s | Max: 30m 54s | Hits: 688%/10065 
🟩 jobs
  🟩 Build              Pass: 100%/38  | Total:  5h 03m | Avg:  7m 59s | Max: 30m 54s | Hits: 688%/10065 
  🟩 NVRTC              Pass: 100%/2   | Total: 55m 27s | Avg: 27m 43s | Max: 27m 46s
  🟩 Test               Pass: 100%/2   | Total: 48m 51s | Avg: 24m 25s | Max: 24m 44s
  🟩 VerifyCodegen      Pass: 100%/1   | Total:  1m 59s | Avg:  1m 59s | Max:  1m 59s
🟩 sm
  🟩 90                 Pass: 100%/1   | Total: 13m 42s | Avg: 13m 42s | Max: 13m 42s
  🟩 90a                Pass: 100%/2   | Total: 16m 59s | Avg:  8m 29s | Max: 13m 13s
🟩 std
  🟩 17                 Pass: 100%/21  | Total:  3h 09m | Avg:  9m 00s | Max: 27m 46s | Hits: 689%/7433  
  🟩 20                 Pass: 100%/21  | Total:  3h 39m | Avg: 10m 26s | Max: 30m 54s | Hits: 688%/2632

🟩 thrust: Pass: 100%/42 | Total: 6h 48m | Avg: 9m 43s | Max: 47m 20s | Hits: 365%/7384

🟩 cmake_options
  🟩 -DTHRUST_DISPATCH_TYPE=Force32bit Pass: 100%/2   | Total: 17m 24s | Avg:  8m 42s | Max: 11m 25s
🟩 cpu
  🟩 amd64              Pass: 100%/40  | Total:  6h 39m | Avg:  9m 58s | Max: 47m 20s | Hits: 365%/7384  
  🟩 arm64              Pass: 100%/2   | Total:  9m 38s | Avg:  4m 49s | Max:  5m 02s
🟩 ctk
  🟩 12.0               Pass: 100%/5   | Total: 43m 23s | Avg:  8m 40s | Max: 22m 30s | Hits: 365%/1846  
  🟩 12.5               Pass: 100%/2   | Total: 30m 32s | Avg: 15m 16s | Max: 16m 11s
  🟩 12.6               Pass: 100%/35  | Total:  5h 34m | Avg:  9m 34s | Max: 47m 20s | Hits: 365%/5538  
🟩 cudacxx
  🟩 ClangCUDA18        Pass: 100%/2   | Total: 10m 15s | Avg:  5m 07s | Max:  5m 14s
  🟩 nvcc12.0           Pass: 100%/5   | Total: 43m 23s | Avg:  8m 40s | Max: 22m 30s | Hits: 365%/1846  
  🟩 nvcc12.5           Pass: 100%/2   | Total: 30m 32s | Avg: 15m 16s | Max: 16m 11s
  🟩 nvcc12.6           Pass: 100%/33  | Total:  5h 24m | Avg:  9m 50s | Max: 47m 20s | Hits: 365%/5538  
🟩 cudacxx_family
  🟩 ClangCUDA          Pass: 100%/2   | Total: 10m 15s | Avg:  5m 07s | Max:  5m 14s
  🟩 nvcc               Pass: 100%/40  | Total:  6h 38m | Avg:  9m 57s | Max: 47m 20s | Hits: 365%/7384  
🟩 cxx
  🟩 Clang14            Pass: 100%/4   | Total: 21m 19s | Avg:  5m 19s | Max:  5m 44s
  🟩 Clang15            Pass: 100%/2   | Total: 11m 29s | Avg:  5m 44s | Max:  6m 01s
  🟩 Clang16            Pass: 100%/2   | Total: 11m 28s | Avg:  5m 44s | Max:  5m 54s
  🟩 Clang17            Pass: 100%/2   | Total: 11m 11s | Avg:  5m 35s | Max:  5m 39s
  🟩 Clang18            Pass: 100%/7   | Total:  1h 20m | Avg: 11m 33s | Max: 47m 20s
  🟩 GCC7               Pass: 100%/2   | Total: 10m 59s | Avg:  5m 29s | Max:  5m 32s
  🟩 GCC8               Pass: 100%/1   | Total:  5m 33s | Avg:  5m 33s | Max:  5m 33s
  🟩 GCC9               Pass: 100%/2   | Total: 11m 04s | Avg:  5m 32s | Max:  5m 57s
  🟩 GCC10              Pass: 100%/2   | Total: 11m 39s | Avg:  5m 49s | Max:  6m 01s
  🟩 GCC11              Pass: 100%/2   | Total: 11m 56s | Avg:  5m 58s | Max:  6m 04s
  🟩 GCC12              Pass: 100%/2   | Total: 12m 13s | Avg:  6m 06s | Max:  6m 13s
  🟩 GCC13              Pass: 100%/8   | Total:  1h 00m | Avg:  7m 36s | Max: 12m 31s
  🟩 MSVC14.29          Pass: 100%/2   | Total: 51m 58s | Avg: 25m 59s | Max: 29m 28s | Hits: 365%/3692  
  🟩 MSVC14.39          Pass: 100%/2   | Total:  1h 05m | Avg: 32m 53s | Max: 35m 40s | Hits: 365%/3692  
  🟩 NVHPC24.7          Pass: 100%/2   | Total: 30m 32s | Avg: 15m 16s | Max: 16m 11s
🟩 cxx_family
  🟩 Clang              Pass: 100%/17  | Total:  2h 16m | Avg:  8m 01s | Max: 47m 20s
  🟩 GCC                Pass: 100%/19  | Total:  2h 04m | Avg:  6m 32s | Max: 12m 31s
  🟩 MSVC               Pass: 100%/4   | Total:  1h 57m | Avg: 29m 26s | Max: 35m 40s | Hits: 365%/7384  
  🟩 NVHPC              Pass: 100%/2   | Total: 30m 32s | Avg: 15m 16s | Max: 16m 11s
🟩 gpu
  🟩 v100               Pass: 100%/42  | Total:  6h 48m | Avg:  9m 43s | Max: 47m 20s | Hits: 365%/7384  
🟩 jobs
  🟩 Build              Pass: 100%/37  | Total:  5h 21m | Avg:  8m 41s | Max: 35m 40s | Hits: 365%/7384  
  🟩 TestCPU            Pass: 100%/2   | Total: 15m 55s | Avg:  7m 57s | Max:  8m 13s
  🟩 TestGPU            Pass: 100%/3   | Total:  1h 11m | Avg: 23m 45s | Max: 47m 20s
🟩 sm
  🟩 90a                Pass: 100%/1   | Total:  4m 57s | Avg:  4m 57s | Max:  4m 57s
🟩 std
  🟩 17                 Pass: 100%/20  | Total:  3h 11m | Avg:  9m 35s | Max: 35m 40s | Hits: 365%/5538  
  🟩 20                 Pass: 100%/20  | Total:  3h 19m | Avg:  9m 59s | Max: 47m 20s | Hits: 365%/1846

🟩 cudax: Pass: 100%/20 | Total: 1h 50m | Avg: 5m 32s | Max: 18m 38s | Hits: 388%/522

🟩 cpu
  🟩 amd64              Pass: 100%/16  | Total:  1h 39m | Avg:  6m 13s | Max: 18m 38s | Hits: 388%/522   
  🟩 arm64              Pass: 100%/4   | Total: 11m 09s | Avg:  2m 47s | Max:  3m 10s
🟩 ctk
  🟩 12.0               Pass: 100%/1   | Total:  9m 40s | Avg:  9m 40s | Max:  9m 40s | Hits: 388%/261   
  🟩 12.5               Pass: 100%/2   | Total: 10m 12s | Avg:  5m 06s | Max:  5m 10s
  🟩 12.6               Pass: 100%/17  | Total:  1h 30m | Avg:  5m 20s | Max: 18m 38s | Hits: 388%/261   
🟩 cudacxx
  🟩 nvcc12.0           Pass: 100%/1   | Total:  9m 40s | Avg:  9m 40s | Max:  9m 40s | Hits: 388%/261   
  🟩 nvcc12.5           Pass: 100%/2   | Total: 10m 12s | Avg:  5m 06s | Max:  5m 10s
  🟩 nvcc12.6           Pass: 100%/17  | Total:  1h 30m | Avg:  5m 20s | Max: 18m 38s | Hits: 388%/261   
🟩 cudacxx_family
  🟩 nvcc               Pass: 100%/20  | Total:  1h 50m | Avg:  5m 32s | Max: 18m 38s | Hits: 388%/522   
🟩 cxx
  🟩 Clang14            Pass: 100%/1   | Total:  3m 00s | Avg:  3m 00s | Max:  3m 00s
  🟩 Clang15            Pass: 100%/1   | Total:  3m 18s | Avg:  3m 18s | Max:  3m 18s
  🟩 Clang16            Pass: 100%/1   | Total:  3m 26s | Avg:  3m 26s | Max:  3m 26s
  🟩 Clang17            Pass: 100%/1   | Total:  3m 20s | Avg:  3m 20s | Max:  3m 20s
  🟩 Clang18            Pass: 100%/4   | Total: 27m 00s | Avg:  6m 45s | Max: 18m 06s
  🟩 GCC10              Pass: 100%/1   | Total:  3m 03s | Avg:  3m 03s | Max:  3m 03s
  🟩 GCC11              Pass: 100%/1   | Total:  3m 16s | Avg:  3m 16s | Max:  3m 16s
  🟩 GCC12              Pass: 100%/2   | Total: 22m 07s | Avg: 11m 03s | Max: 18m 38s
  🟩 GCC13              Pass: 100%/4   | Total: 11m 13s | Avg:  2m 48s | Max:  3m 03s
  🟩 MSVC14.36          Pass: 100%/1   | Total:  9m 40s | Avg:  9m 40s | Max:  9m 40s | Hits: 388%/261   
  🟩 MSVC14.39          Pass: 100%/1   | Total: 11m 07s | Avg: 11m 07s | Max: 11m 07s | Hits: 388%/261   
  🟩 NVHPC24.7          Pass: 100%/2   | Total: 10m 12s | Avg:  5m 06s | Max:  5m 10s
🟩 cxx_family
  🟩 Clang              Pass: 100%/8   | Total: 40m 04s | Avg:  5m 00s | Max: 18m 06s
  🟩 GCC                Pass: 100%/8   | Total: 39m 39s | Avg:  4m 57s | Max: 18m 38s
  🟩 MSVC               Pass: 100%/2   | Total: 20m 47s | Avg: 10m 23s | Max: 11m 07s | Hits: 388%/522   
  🟩 NVHPC              Pass: 100%/2   | Total: 10m 12s | Avg:  5m 06s | Max:  5m 10s
🟩 gpu
  🟩 v100               Pass: 100%/20  | Total:  1h 50m | Avg:  5m 32s | Max: 18m 38s | Hits: 388%/522   
🟩 jobs
  🟩 Build              Pass: 100%/18  | Total:  1h 13m | Avg:  4m 06s | Max: 11m 07s | Hits: 388%/522   
  🟩 Test               Pass: 100%/2   | Total: 36m 44s | Avg: 18m 22s | Max: 18m 38s
🟩 sm
  🟩 90                 Pass: 100%/1   | Total:  3m 03s | Avg:  3m 03s | Max:  3m 03s
  🟩 90a                Pass: 100%/1   | Total:  2m 50s | Avg:  2m 50s | Max:  2m 50s
🟩 std
  🟩 17                 Pass: 100%/4   | Total: 13m 18s | Avg:  3m 19s | Max:  5m 02s
  🟩 20                 Pass: 100%/16  | Total:  1h 37m | Avg:  6m 05s | Max: 18m 38s | Hits: 388%/522

🟩 cccl: Pass: 100%/4 | Total: 19m 51s | Avg: 4m 57s | Max: 5m 50s

🟩 cpu
  🟩 amd64              Pass: 100%/4   | Total: 19m 51s | Avg:  4m 57s | Max:  5m 50s
🟩 ctk
  🟩 12.0               Pass: 100%/2   | Total:  8m 14s | Avg:  4m 07s | Max:  4m 13s
  🟩 12.6               Pass: 100%/2   | Total: 11m 37s | Avg:  5m 48s | Max:  5m 50s
🟩 cudacxx
  🟩 nvcc12.0           Pass: 100%/2   | Total:  8m 14s | Avg:  4m 07s | Max:  4m 13s
  🟩 nvcc12.6           Pass: 100%/2   | Total: 11m 37s | Avg:  5m 48s | Max:  5m 50s
🟩 cudacxx_family
  🟩 nvcc               Pass: 100%/4   | Total: 19m 51s | Avg:  4m 57s | Max:  5m 50s
🟩 cxx
  🟩 Clang14            Pass: 100%/1   | Total:  4m 13s | Avg:  4m 13s | Max:  4m 13s
  🟩 Clang18            Pass: 100%/1   | Total:  5m 50s | Avg:  5m 50s | Max:  5m 50s
  🟩 GCC12              Pass: 100%/1   | Total:  4m 01s | Avg:  4m 01s | Max:  4m 01s
  🟩 GCC13              Pass: 100%/1   | Total:  5m 47s | Avg:  5m 47s | Max:  5m 47s
🟩 cxx_family
  🟩 Clang              Pass: 100%/2   | Total: 10m 03s | Avg:  5m 01s | Max:  5m 50s
  🟩 GCC                Pass: 100%/2   | Total:  9m 48s | Avg:  4m 54s | Max:  5m 47s
🟩 gpu
  🟩 v100               Pass: 100%/4   | Total: 19m 51s | Avg:  4m 57s | Max:  5m 50s
🟩 jobs
  🟩 Infra              Pass: 100%/4   | Total: 19m 51s | Avg:  4m 57s | Max:  5m 50s

🟩 cccl_c_parallel: Pass: 100%/2 | Total: 13m 25s | Avg: 6m 42s | Max: 11m 22s

🟩 cpu
  🟩 amd64              Pass: 100%/2   | Total: 13m 25s | Avg:  6m 42s | Max: 11m 22s
🟩 ctk
  🟩 12.6               Pass: 100%/2   | Total: 13m 25s | Avg:  6m 42s | Max: 11m 22s
🟩 cudacxx
  🟩 nvcc12.6           Pass: 100%/2   | Total: 13m 25s | Avg:  6m 42s | Max: 11m 22s
🟩 cudacxx_family
  🟩 nvcc               Pass: 100%/2   | Total: 13m 25s | Avg:  6m 42s | Max: 11m 22s
🟩 cxx
  🟩 GCC13              Pass: 100%/2   | Total: 13m 25s | Avg:  6m 42s | Max: 11m 22s
🟩 cxx_family
  🟩 GCC                Pass: 100%/2   | Total: 13m 25s | Avg:  6m 42s | Max: 11m 22s
🟩 gpu
  🟩 v100               Pass: 100%/2   | Total: 13m 25s | Avg:  6m 42s | Max: 11m 22s
🟩 jobs
  🟩 Build              Pass: 100%/1   | Total:  2m 03s | Avg:  2m 03s | Max:  2m 03s
  🟩 Test               Pass: 100%/1   | Total: 11m 22s | Avg: 11m 22s | Max: 11m 22s

🟩 python: Pass: 100%/1 | Total: 51m 32s | Avg: 51m 32s | Max: 51m 32s

🟩 cpu
  🟩 amd64              Pass: 100%/1   | Total: 51m 32s | Avg: 51m 32s | Max: 51m 32s
🟩 ctk
  🟩 12.6               Pass: 100%/1   | Total: 51m 32s | Avg: 51m 32s | Max: 51m 32s
🟩 cudacxx
  🟩 nvcc12.6           Pass: 100%/1   | Total: 51m 32s | Avg: 51m 32s | Max: 51m 32s
🟩 cudacxx_family
  🟩 nvcc               Pass: 100%/1   | Total: 51m 32s | Avg: 51m 32s | Max: 51m 32s
🟩 cxx
  🟩 GCC13              Pass: 100%/1   | Total: 51m 32s | Avg: 51m 32s | Max: 51m 32s
🟩 cxx_family
  🟩 GCC                Pass: 100%/1   | Total: 51m 32s | Avg: 51m 32s | Max: 51m 32s
🟩 gpu
  🟩 v100               Pass: 100%/1   | Total: 51m 32s | Avg: 51m 32s | Max: 51m 32s
🟩 jobs
  🟩 Test               Pass: 100%/1   | Total: 51m 32s | Avg: 51m 32s | Max: 51m 32s

👃 Inspect Changes

Modifications in project?

	Project
+/-	CCCL Infrastructure
	libcu++
	CUB
	Thrust
	CUDA Experimental
	python
	CCCL C Parallel Library
	Catch2Helper

Modifications in project or dependencies?

	Project
+/-	CCCL Infrastructure
+/-	libcu++
+/-	CUB
+/-	Thrust
+/-	CUDA Experimental
+/-	python
+/-	CCCL C Parallel Library
+/-	Catch2Helper

🏃‍ Runner counts (total jobs: 156)

#	Runner
110	`linux-amd64-cpu16`
21	`linux-amd64-gpu-v100-latest-1`
14	`windows-amd64-cpu16`
10	`linux-arm64-cpu16`
1	`linux-amd64-gpu-h100-latest-1`

@shwina

* [FEA]: Introduce Python module with CCCL headers (#3201) * Add cccl/python/cuda_cccl directory and use from cuda_parallel, cuda_cooperative * Run `copy_cccl_headers_to_aude_include()` before `setup()` * Create python/cuda_cccl/cuda/_include/__init__.py, then simply import cuda._include to find the include path. * Add cuda.cccl._version exactly as for cuda.cooperative and cuda.parallel * Bug fix: cuda/_include only exists after shutil.copytree() ran. * Use `f"cuda-cccl @ file://{cccl_path}/python/cuda_cccl"` in setup.py * Remove CustomBuildCommand, CustomWheelBuild in cuda_parallel/setup.py (they are equivalent to the default functions) * Replace := operator (needs Python 3.8+) * Fix oversights: remove `pip3 install ./cuda_cccl` lines from README.md * Restore original README.md: `pip3 install -e` now works on first pass. * cuda_cccl/README.md: FOR INTERNAL USE ONLY * Remove `$pymajor.$pyminor.` prefix in cuda_cccl _version.py (as suggested under #3201 (comment)) Command used: ci/update_version.sh 2 8 0 * Modernize pyproject.toml, setup.py Trigger for this change: * #3201 (comment) * #3201 (comment) * Install CCCL headers under cuda.cccl.include Trigger for this change: * #3201 (comment) Unexpected accidental discovery: cuda.cooperative unit tests pass without CCCL headers entirely. * Factor out cuda_cccl/cuda/cccl/include_paths.py * Reuse cuda_cccl/cuda/cccl/include_paths.py from cuda_cooperative * Add missing Copyright notice. * Add missing __init__.py (cuda.cccl) * Add `"cuda.cccl"` to `autodoc.mock_imports` * Move cuda.cccl.include_paths into function where it is used. (Attempt to resolve Build and Verify Docs failure.) * Add # TODO: move this to a module-level import * Modernize cuda_cooperative/pyproject.toml, setup.py * Convert cuda_cooperative to use hatchling as build backend. * Revert "Convert cuda_cooperative to use hatchling as build backend." This reverts commit 61637d6. * Move numpy from [build-system] requires -> [project] dependencies * Move pyproject.toml [project] dependencies -> setup.py install_requires, to be able to use CCCL_PATH * Remove copy_license() and use license_files=["../../LICENSE"] instead. * Further modernize cuda_cccl/setup.py to use pathlib * Trivial simplifications in cuda_cccl/pyproject.toml * Further simplify cuda_cccl/pyproject.toml, setup.py: remove inconsequential code * Make cuda_cooperative/pyproject.toml more similar to cuda_cccl/pyproject.toml * Add taplo-pre-commit to .pre-commit-config.yaml * taplo-pre-commit auto-fixes * Use pathlib in cuda_cooperative/setup.py * CCCL_PYTHON_PATH in cuda_cooperative/setup.py * Modernize cuda_parallel/pyproject.toml, setup.py * Use pathlib in cuda_parallel/setup.py * Add `# TOML lint & format` comment. * Replace MANIFEST.in with `[tool.setuptools.package-data]` section in pyproject.toml * Use pathlib in cuda/cccl/include_paths.py * pre-commit autoupdate (EXCEPT clang-format, which was manually restored) * Fixes after git merge main * Resolve warning: AttributeError: '_Reduce' object has no attribute 'build_result' ``` =========================================================================== warnings summary =========================================================================== tests/test_reduce.py::test_reduce_non_contiguous /home/coder/cccl/python/devenv/lib/python3.12/site-packages/_pytest/unraisableexception.py:85: PytestUnraisableExceptionWarning: Exception ignored in: <function _Reduce.__del__ at 0x7bf123139080> Traceback (most recent call last): File "/home/coder/cccl/python/cuda_parallel/cuda/parallel/experimental/algorithms/reduce.py", line 132, in __del__ bindings.cccl_device_reduce_cleanup(ctypes.byref(self.build_result)) ^^^^^^^^^^^^^^^^^ AttributeError: '_Reduce' object has no attribute 'build_result' warnings.warn(pytest.PytestUnraisableExceptionWarning(msg)) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html ============================================================= 1 passed, 93 deselected, 1 warning in 0.44s ============================================================== ``` * Move `copy_cccl_headers_to_cuda_cccl_include()` functionality to `class CustomBuildPy` * Introduce cuda_cooperative/constraints.txt * Also add cuda_parallel/constraints.txt * Add `--constraint constraints.txt` in ci/test_python.sh * Update Copyright dates * Switch to https://github.com/ComPWA/taplo-pre-commit (the other repo has been archived by the owner on Jul 1, 2024) For completeness: The other repo took a long time to install into the pre-commit cache; so long it lead to timeouts in the CCCL CI. * Remove unused cuda_parallel jinja2 dependency (noticed by chance). * Remove constraints.txt files, advertise running `pip install cuda-cccl` first instead. * Make cuda_cooperative, cuda_parallel testing completely independent. * Run only test_python.sh [skip-rapids][skip-matx][skip-docs][skip-vdc] * Try using another runner (because V100 runners seem to be stuck) [skip-rapids][skip-matx][skip-docs][skip-vdc] * Fix sign-compare warning (#3408) [skip-rapids][skip-matx][skip-docs][skip-vdc] * Revert "Try using another runner (because V100 runners seem to be stuck) [skip-rapids][skip-matx][skip-docs][skip-vdc]" This reverts commit ea33a21. Error message: #3201 (comment) * Try using A100 runner (because V100 runners still seem to be stuck) [skip-rapids][skip-matx][skip-docs][skip-vdc] * Also show cuda-cooperative site-packages, cuda-parallel site-packages (after pip install) [skip-rapids][skip-matx][skip-docs][skip-vdc] * Try using l4 runner (because V100 runners still seem to be stuck) [skip-rapids][skip-matx][skip-docs][skip-vdc] * Restore original ci/matrix.yaml [skip-rapids] * Use for loop in test_python.sh to avoid code duplication. * Run only test_python.sh [skip-rapids][skip-matx][skip-docs][skip-vdc][skip pre-commit.ci] * Comment out taplo-lint in pre-commit config [skip-rapids][skip-matx][skip-docs][skip-vdc] * Revert "Run only test_python.sh [skip-rapids][skip-matx][skip-docs][skip-vdc][skip pre-commit.ci]" This reverts commit ec206fd. * Implement suggestion by @shwina (#3201 (review)) * Address feedback by @leofang --------- Co-authored-by: Bernhard Manfred Gruber <[email protected]> * cuda.parallel: invoke pytest directly rather than via `python -m pytest` (#3523) Co-authored-by: Ashwin Srinath <[email protected]> * Copy file from PR #3547 (bugfix/drop_pipe_in_lit by @wmaxey) * Revert "cuda.parallel: invoke pytest directly rather than via `python -m pytest` (#3523)" This reverts commit a2e21cb. * Replace pipes.quote with shlex.quote in lit config (#3547) * Replace pipes.quote with shlex.quote * Drop TBB run on windows to unblock CI * Update ci/matrix.yaml Co-authored-by: Michael Schellenberger Costa <[email protected]> Co-authored-by: Bernhard Manfred Gruber <[email protected]> * Remove nvks runners from testing pool. (#3580) --------- Co-authored-by: Bernhard Manfred Gruber <[email protected]> Co-authored-by: Ashwin Srinath <[email protected]> Co-authored-by: Ashwin Srinath <[email protected]> Co-authored-by: Wesley Maxey <[email protected]> Co-authored-by: Michael Schellenberger Costa <[email protected]> Co-authored-by: Allison Piper <[email protected]>

@shwina

…e 2.8.x branch. (NVIDIA#3536) * [FEA]: Introduce Python module with CCCL headers (NVIDIA#3201) * Add cccl/python/cuda_cccl directory and use from cuda_parallel, cuda_cooperative * Run `copy_cccl_headers_to_aude_include()` before `setup()` * Create python/cuda_cccl/cuda/_include/__init__.py, then simply import cuda._include to find the include path. * Add cuda.cccl._version exactly as for cuda.cooperative and cuda.parallel * Bug fix: cuda/_include only exists after shutil.copytree() ran. * Use `f"cuda-cccl @ file://{cccl_path}/python/cuda_cccl"` in setup.py * Remove CustomBuildCommand, CustomWheelBuild in cuda_parallel/setup.py (they are equivalent to the default functions) * Replace := operator (needs Python 3.8+) * Fix oversights: remove `pip3 install ./cuda_cccl` lines from README.md * Restore original README.md: `pip3 install -e` now works on first pass. * cuda_cccl/README.md: FOR INTERNAL USE ONLY * Remove `$pymajor.$pyminor.` prefix in cuda_cccl _version.py (as suggested under NVIDIA#3201 (comment)) Command used: ci/update_version.sh 2 8 0 * Modernize pyproject.toml, setup.py Trigger for this change: * NVIDIA#3201 (comment) * NVIDIA#3201 (comment) * Install CCCL headers under cuda.cccl.include Trigger for this change: * NVIDIA#3201 (comment) Unexpected accidental discovery: cuda.cooperative unit tests pass without CCCL headers entirely. * Factor out cuda_cccl/cuda/cccl/include_paths.py * Reuse cuda_cccl/cuda/cccl/include_paths.py from cuda_cooperative * Add missing Copyright notice. * Add missing __init__.py (cuda.cccl) * Add `"cuda.cccl"` to `autodoc.mock_imports` * Move cuda.cccl.include_paths into function where it is used. (Attempt to resolve Build and Verify Docs failure.) * Add # TODO: move this to a module-level import * Modernize cuda_cooperative/pyproject.toml, setup.py * Convert cuda_cooperative to use hatchling as build backend. * Revert "Convert cuda_cooperative to use hatchling as build backend." This reverts commit 61637d6. * Move numpy from [build-system] requires -> [project] dependencies * Move pyproject.toml [project] dependencies -> setup.py install_requires, to be able to use CCCL_PATH * Remove copy_license() and use license_files=["../../LICENSE"] instead. * Further modernize cuda_cccl/setup.py to use pathlib * Trivial simplifications in cuda_cccl/pyproject.toml * Further simplify cuda_cccl/pyproject.toml, setup.py: remove inconsequential code * Make cuda_cooperative/pyproject.toml more similar to cuda_cccl/pyproject.toml * Add taplo-pre-commit to .pre-commit-config.yaml * taplo-pre-commit auto-fixes * Use pathlib in cuda_cooperative/setup.py * CCCL_PYTHON_PATH in cuda_cooperative/setup.py * Modernize cuda_parallel/pyproject.toml, setup.py * Use pathlib in cuda_parallel/setup.py * Add `# TOML lint & format` comment. * Replace MANIFEST.in with `[tool.setuptools.package-data]` section in pyproject.toml * Use pathlib in cuda/cccl/include_paths.py * pre-commit autoupdate (EXCEPT clang-format, which was manually restored) * Fixes after git merge main * Resolve warning: AttributeError: '_Reduce' object has no attribute 'build_result' ``` =========================================================================== warnings summary =========================================================================== tests/test_reduce.py::test_reduce_non_contiguous /home/coder/cccl/python/devenv/lib/python3.12/site-packages/_pytest/unraisableexception.py:85: PytestUnraisableExceptionWarning: Exception ignored in: <function _Reduce.__del__ at 0x7bf123139080> Traceback (most recent call last): File "/home/coder/cccl/python/cuda_parallel/cuda/parallel/experimental/algorithms/reduce.py", line 132, in __del__ bindings.cccl_device_reduce_cleanup(ctypes.byref(self.build_result)) ^^^^^^^^^^^^^^^^^ AttributeError: '_Reduce' object has no attribute 'build_result' warnings.warn(pytest.PytestUnraisableExceptionWarning(msg)) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html ============================================================= 1 passed, 93 deselected, 1 warning in 0.44s ============================================================== ``` * Move `copy_cccl_headers_to_cuda_cccl_include()` functionality to `class CustomBuildPy` * Introduce cuda_cooperative/constraints.txt * Also add cuda_parallel/constraints.txt * Add `--constraint constraints.txt` in ci/test_python.sh * Update Copyright dates * Switch to https://github.com/ComPWA/taplo-pre-commit (the other repo has been archived by the owner on Jul 1, 2024) For completeness: The other repo took a long time to install into the pre-commit cache; so long it lead to timeouts in the CCCL CI. * Remove unused cuda_parallel jinja2 dependency (noticed by chance). * Remove constraints.txt files, advertise running `pip install cuda-cccl` first instead. * Make cuda_cooperative, cuda_parallel testing completely independent. * Run only test_python.sh [skip-rapids][skip-matx][skip-docs][skip-vdc] * Try using another runner (because V100 runners seem to be stuck) [skip-rapids][skip-matx][skip-docs][skip-vdc] * Fix sign-compare warning (NVIDIA#3408) [skip-rapids][skip-matx][skip-docs][skip-vdc] * Revert "Try using another runner (because V100 runners seem to be stuck) [skip-rapids][skip-matx][skip-docs][skip-vdc]" This reverts commit ea33a21. Error message: NVIDIA#3201 (comment) * Try using A100 runner (because V100 runners still seem to be stuck) [skip-rapids][skip-matx][skip-docs][skip-vdc] * Also show cuda-cooperative site-packages, cuda-parallel site-packages (after pip install) [skip-rapids][skip-matx][skip-docs][skip-vdc] * Try using l4 runner (because V100 runners still seem to be stuck) [skip-rapids][skip-matx][skip-docs][skip-vdc] * Restore original ci/matrix.yaml [skip-rapids] * Use for loop in test_python.sh to avoid code duplication. * Run only test_python.sh [skip-rapids][skip-matx][skip-docs][skip-vdc][skip pre-commit.ci] * Comment out taplo-lint in pre-commit config [skip-rapids][skip-matx][skip-docs][skip-vdc] * Revert "Run only test_python.sh [skip-rapids][skip-matx][skip-docs][skip-vdc][skip pre-commit.ci]" This reverts commit ec206fd. * Implement suggestion by @shwina (NVIDIA#3201 (review)) * Address feedback by @leofang --------- Co-authored-by: Bernhard Manfred Gruber <[email protected]> * cuda.parallel: invoke pytest directly rather than via `python -m pytest` (NVIDIA#3523) Co-authored-by: Ashwin Srinath <[email protected]> * Copy file from PR NVIDIA#3547 (bugfix/drop_pipe_in_lit by @wmaxey) * Revert "cuda.parallel: invoke pytest directly rather than via `python -m pytest` (NVIDIA#3523)" This reverts commit a2e21cb. * Replace pipes.quote with shlex.quote in lit config (NVIDIA#3547) * Replace pipes.quote with shlex.quote * Drop TBB run on windows to unblock CI * Update ci/matrix.yaml Co-authored-by: Michael Schellenberger Costa <[email protected]> Co-authored-by: Bernhard Manfred Gruber <[email protected]> * Remove nvks runners from testing pool. (NVIDIA#3580) --------- Co-authored-by: Bernhard Manfred Gruber <[email protected]> Co-authored-by: Ashwin Srinath <[email protected]> Co-authored-by: Ashwin Srinath <[email protected]> Co-authored-by: Wesley Maxey <[email protected]> Co-authored-by: Michael Schellenberger Costa <[email protected]> Co-authored-by: Allison Piper <[email protected]>

@shwina

* Backport PRs #3201, #3523, #3547, #3580 to the 2.8.x branch. (#3536) * [FEA]: Introduce Python module with CCCL headers (#3201) * Add cccl/python/cuda_cccl directory and use from cuda_parallel, cuda_cooperative * Run `copy_cccl_headers_to_aude_include()` before `setup()` * Create python/cuda_cccl/cuda/_include/__init__.py, then simply import cuda._include to find the include path. * Add cuda.cccl._version exactly as for cuda.cooperative and cuda.parallel * Bug fix: cuda/_include only exists after shutil.copytree() ran. * Use `f"cuda-cccl @ file://{cccl_path}/python/cuda_cccl"` in setup.py * Remove CustomBuildCommand, CustomWheelBuild in cuda_parallel/setup.py (they are equivalent to the default functions) * Replace := operator (needs Python 3.8+) * Fix oversights: remove `pip3 install ./cuda_cccl` lines from README.md * Restore original README.md: `pip3 install -e` now works on first pass. * cuda_cccl/README.md: FOR INTERNAL USE ONLY * Remove `$pymajor.$pyminor.` prefix in cuda_cccl _version.py (as suggested under #3201 (comment)) Command used: ci/update_version.sh 2 8 0 * Modernize pyproject.toml, setup.py Trigger for this change: * #3201 (comment) * #3201 (comment) * Install CCCL headers under cuda.cccl.include Trigger for this change: * #3201 (comment) Unexpected accidental discovery: cuda.cooperative unit tests pass without CCCL headers entirely. * Factor out cuda_cccl/cuda/cccl/include_paths.py * Reuse cuda_cccl/cuda/cccl/include_paths.py from cuda_cooperative * Add missing Copyright notice. * Add missing __init__.py (cuda.cccl) * Add `"cuda.cccl"` to `autodoc.mock_imports` * Move cuda.cccl.include_paths into function where it is used. (Attempt to resolve Build and Verify Docs failure.) * Add # TODO: move this to a module-level import * Modernize cuda_cooperative/pyproject.toml, setup.py * Convert cuda_cooperative to use hatchling as build backend. * Revert "Convert cuda_cooperative to use hatchling as build backend." This reverts commit 61637d6. * Move numpy from [build-system] requires -> [project] dependencies * Move pyproject.toml [project] dependencies -> setup.py install_requires, to be able to use CCCL_PATH * Remove copy_license() and use license_files=["../../LICENSE"] instead. * Further modernize cuda_cccl/setup.py to use pathlib * Trivial simplifications in cuda_cccl/pyproject.toml * Further simplify cuda_cccl/pyproject.toml, setup.py: remove inconsequential code * Make cuda_cooperative/pyproject.toml more similar to cuda_cccl/pyproject.toml * Add taplo-pre-commit to .pre-commit-config.yaml * taplo-pre-commit auto-fixes * Use pathlib in cuda_cooperative/setup.py * CCCL_PYTHON_PATH in cuda_cooperative/setup.py * Modernize cuda_parallel/pyproject.toml, setup.py * Use pathlib in cuda_parallel/setup.py * Add `# TOML lint & format` comment. * Replace MANIFEST.in with `[tool.setuptools.package-data]` section in pyproject.toml * Use pathlib in cuda/cccl/include_paths.py * pre-commit autoupdate (EXCEPT clang-format, which was manually restored) * Fixes after git merge main * Resolve warning: AttributeError: '_Reduce' object has no attribute 'build_result' ``` =========================================================================== warnings summary =========================================================================== tests/test_reduce.py::test_reduce_non_contiguous /home/coder/cccl/python/devenv/lib/python3.12/site-packages/_pytest/unraisableexception.py:85: PytestUnraisableExceptionWarning: Exception ignored in: <function _Reduce.__del__ at 0x7bf123139080> Traceback (most recent call last): File "/home/coder/cccl/python/cuda_parallel/cuda/parallel/experimental/algorithms/reduce.py", line 132, in __del__ bindings.cccl_device_reduce_cleanup(ctypes.byref(self.build_result)) ^^^^^^^^^^^^^^^^^ AttributeError: '_Reduce' object has no attribute 'build_result' warnings.warn(pytest.PytestUnraisableExceptionWarning(msg)) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html ============================================================= 1 passed, 93 deselected, 1 warning in 0.44s ============================================================== ``` * Move `copy_cccl_headers_to_cuda_cccl_include()` functionality to `class CustomBuildPy` * Introduce cuda_cooperative/constraints.txt * Also add cuda_parallel/constraints.txt * Add `--constraint constraints.txt` in ci/test_python.sh * Update Copyright dates * Switch to https://github.com/ComPWA/taplo-pre-commit (the other repo has been archived by the owner on Jul 1, 2024) For completeness: The other repo took a long time to install into the pre-commit cache; so long it lead to timeouts in the CCCL CI. * Remove unused cuda_parallel jinja2 dependency (noticed by chance). * Remove constraints.txt files, advertise running `pip install cuda-cccl` first instead. * Make cuda_cooperative, cuda_parallel testing completely independent. * Run only test_python.sh [skip-rapids][skip-matx][skip-docs][skip-vdc] * Try using another runner (because V100 runners seem to be stuck) [skip-rapids][skip-matx][skip-docs][skip-vdc] * Fix sign-compare warning (#3408) [skip-rapids][skip-matx][skip-docs][skip-vdc] * Revert "Try using another runner (because V100 runners seem to be stuck) [skip-rapids][skip-matx][skip-docs][skip-vdc]" This reverts commit ea33a21. Error message: #3201 (comment) * Try using A100 runner (because V100 runners still seem to be stuck) [skip-rapids][skip-matx][skip-docs][skip-vdc] * Also show cuda-cooperative site-packages, cuda-parallel site-packages (after pip install) [skip-rapids][skip-matx][skip-docs][skip-vdc] * Try using l4 runner (because V100 runners still seem to be stuck) [skip-rapids][skip-matx][skip-docs][skip-vdc] * Restore original ci/matrix.yaml [skip-rapids] * Use for loop in test_python.sh to avoid code duplication. * Run only test_python.sh [skip-rapids][skip-matx][skip-docs][skip-vdc][skip pre-commit.ci] * Comment out taplo-lint in pre-commit config [skip-rapids][skip-matx][skip-docs][skip-vdc] * Revert "Run only test_python.sh [skip-rapids][skip-matx][skip-docs][skip-vdc][skip pre-commit.ci]" This reverts commit ec206fd. * Implement suggestion by @shwina (#3201 (review)) * Address feedback by @leofang --------- Co-authored-by: Bernhard Manfred Gruber <[email protected]> * cuda.parallel: invoke pytest directly rather than via `python -m pytest` (#3523) Co-authored-by: Ashwin Srinath <[email protected]> * Copy file from PR #3547 (bugfix/drop_pipe_in_lit by @wmaxey) * Revert "cuda.parallel: invoke pytest directly rather than via `python -m pytest` (#3523)" This reverts commit a2e21cb. * Replace pipes.quote with shlex.quote in lit config (#3547) * Replace pipes.quote with shlex.quote * Drop TBB run on windows to unblock CI * Update ci/matrix.yaml Co-authored-by: Michael Schellenberger Costa <[email protected]> Co-authored-by: Bernhard Manfred Gruber <[email protected]> * Remove nvks runners from testing pool. (#3580) --------- Co-authored-by: Bernhard Manfred Gruber <[email protected]> Co-authored-by: Ashwin Srinath <[email protected]> Co-authored-by: Ashwin Srinath <[email protected]> Co-authored-by: Wesley Maxey <[email protected]> Co-authored-by: Michael Schellenberger Costa <[email protected]> Co-authored-by: Allison Piper <[email protected]> * Suppress execution checks for vocabulary types (#3578) * Suppress execution checks for optional * Suppress execution checks for `expected` * Suppress execution checks for `pair` * Suppress execution checks for `variant` * Remove some jobs * Disable sampls in old CI * Fix compiler detection * Disable tests for unsupported standard modes * Fix compiler detection * Fix compiler detection more * Fix matrix * Also suppress for swap * Fix formatting * Use the internal function fopr MSVC * Try adding import? * Revert all changes to python module * Fix formatting * Update `upload-pages-artifact` * Update RAPIDS to 25.02. (#2967) * Update RAPIDS to 25.02. * Remove RAFT BUILD_ANN_BENCH option. * Rename KvikIO to kvikio. * Add back cugraph-ops until it's completely purged from RAPIDS upstream dependencies. * Update devcontainers. * Use the 24.10 image for cccl CI * Drop gugraph ops * Also drop cugraph-gnn for now --------- Co-authored-by: Bernhard Manfred Gruber <[email protected]> Co-authored-by: Ashwin Srinath <[email protected]> Co-authored-by: Ashwin Srinath <[email protected]> Co-authored-by: Wesley Maxey <[email protected]> Co-authored-by: Allison Piper <[email protected]> Co-authored-by: Bradley Dice <[email protected]>

Remove nvks runners from testing pool.

97273fe

alliepiper requested a review from a team as a code owner January 29, 2025 16:12

alliepiper requested a review from jrhemstad January 29, 2025 16:12

miscco approved these changes Jan 29, 2025

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bernhardmgruber approved these changes Jan 29, 2025

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bernhardmgruber enabled auto-merge (squash) January 29, 2025 16:21

jrhemstad disabled auto-merge January 29, 2025 16:59

jrhemstad merged commit 3f13d93 into NVIDIA:main Jan 29, 2025
190 of 193 checks passed

miscco pushed a commit to miscco/cccl that referenced this pull request Jan 29, 2025

Remove nvks runners from testing pool. (NVIDIA#3580)

76b31fe

davebayer pushed a commit to davebayer/cccl that referenced this pull request Jan 29, 2025

Remove nvks runners from testing pool. (NVIDIA#3580)

25365d9

bernhardmgruber added the backport branch/2.8.x label Jan 29, 2025

rwgk pushed a commit to rwgk/cccl that referenced this pull request Jan 29, 2025

Remove nvks runners from testing pool. (NVIDIA#3580)

1ff4b51

rwgk mentioned this pull request Jan 29, 2025

Backport PRs #3201, #3523, #3547, #3580 to the 2.8.x branch. #3536

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alliepiper deleted the no_testing_pools branch January 29, 2025 18:38

This was referenced Jan 30, 2025

[Backport 2.7]: PRs #3201, #3523, #3547, #3580 (#3536) #3600

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[Backport] #3572 to the 2.8.x branch. #3605

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Remove nvks runners from testing pool. #3580

Remove nvks runners from testing pool. #3580

alliepiper commented Jan 29, 2025

github-actions bot commented Jan 29, 2025

🟩 cub: Pass: 100%/44 | Total: 8h 28m | Avg: 11m 33s | Max: 1h 02m | Hits: 540%/3552

🟩 libcudacxx: Pass: 100%/43 | Total: 6h 50m | Avg: 9m 32s | Max: 30m 54s | Hits: 688%/10065

🟩 thrust: Pass: 100%/42 | Total: 6h 48m | Avg: 9m 43s | Max: 47m 20s | Hits: 365%/7384

🟩 cudax: Pass: 100%/20 | Total: 1h 50m | Avg: 5m 32s | Max: 18m 38s | Hits: 388%/522

🟩 cccl: Pass: 100%/4 | Total: 19m 51s | Avg: 4m 57s | Max: 5m 50s

🟩 cccl_c_parallel: Pass: 100%/2 | Total: 13m 25s | Avg: 6m 42s | Max: 11m 22s

🟩 python: Pass: 100%/1 | Total: 51m 32s | Avg: 51m 32s | Max: 51m 32s

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Modifications in project?

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🏃‍ Runner counts (total jobs: 156)

Remove nvks runners from testing pool. #3580

Remove nvks runners from testing pool. #3580

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alliepiper commented Jan 29, 2025

github-actions bot commented Jan 29, 2025

🟩 cub: Pass: 100%/44 | Total: 8h 28m | Avg: 11m 33s | Max: 1h 02m | Hits: 540%/3552

🟩 libcudacxx: Pass: 100%/43 | Total: 6h 50m | Avg: 9m 32s | Max: 30m 54s | Hits: 688%/10065

🟩 thrust: Pass: 100%/42 | Total: 6h 48m | Avg: 9m 43s | Max: 47m 20s | Hits: 365%/7384

🟩 cudax: Pass: 100%/20 | Total: 1h 50m | Avg: 5m 32s | Max: 18m 38s | Hits: 388%/522

🟩 cccl: Pass: 100%/4 | Total: 19m 51s | Avg: 4m 57s | Max: 5m 50s

🟩 cccl_c_parallel: Pass: 100%/2 | Total: 13m 25s | Avg: 6m 42s | Max: 11m 22s

🟩 python: Pass: 100%/1 | Total: 51m 32s | Avg: 51m 32s | Max: 51m 32s

👃 Inspect Changes

Modifications in project?

Modifications in project or dependencies?

🏃‍ Runner counts (total jobs: 156)