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Architecture and OS identification macros #3237

Merged
merged 13 commits into from
Jan 7, 2025
Merged

Architecture and OS identification macros #3237

merged 13 commits into from
Jan 7, 2025

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fbusato
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@fbusato fbusato commented Jan 2, 2025

Fixes #2505

Description

Add internal architecture and OS identification macros for CUDA supported platforms

@fbusato fbusato self-assigned this Jan 2, 2025
@fbusato fbusato requested review from a team as code owners January 2, 2025 23:52
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github-actions bot commented Jan 3, 2025

🟩 CI finished in 1h 52m: Pass: 100%/170 | Total: 1d 14h | Avg: 13m 42s | Max: 1h 24m | Hits: 9%/22530

  • 🟩 libcudacxx: Pass: 100%/48 | Total: 10h 16m | Avg: 12m 50s | Max: 46m 33s | Hits: 3%/9826 

    🟩 cpu
  🟩 amd64              Pass: 100%/46  | Total: 10h 09m | Avg: 13m 15s | Max: 46m 33s | Hits:   3%/9826  
  🟩 arm64              Pass: 100%/2   | Total:  6m 58s | Avg:  3m 29s | Max:  3m 37s
🟩 ctk
  🟩 11.1               Pass: 100%/7   | Total: 53m 45s | Avg:  7m 40s | Max: 36m 16s | Hits:   3%/2242  
  🟩 12.5               Pass: 100%/2   | Total:  1h 10m | Avg: 35m 08s | Max: 38m 30s
  🟩 12.6               Pass: 100%/39  | Total:  8h 12m | Avg: 12m 37s | Max: 46m 33s | Hits:   3%/7584  
🟩 cudacxx
  🟩 ClangCUDA18        Pass: 100%/4   | Total:  1h 09m | Avg: 17m 18s | Max: 22m 37s
  🟩 nvcc11.1           Pass: 100%/7   | Total: 53m 45s | Avg:  7m 40s | Max: 36m 16s | Hits:   3%/2242  
  🟩 nvcc12.5           Pass: 100%/2   | Total:  1h 10m | Avg: 35m 08s | Max: 38m 30s
  🟩 nvcc12.6           Pass: 100%/35  | Total:  7h 03m | Avg: 12m 05s | Max: 46m 33s | Hits:   3%/7584  
🟩 cudacxx_family
  🟩 ClangCUDA          Pass: 100%/4   | Total:  1h 09m | Avg: 17m 18s | Max: 22m 37s
  🟩 nvcc               Pass: 100%/44  | Total:  9h 07m | Avg: 12m 26s | Max: 46m 33s | Hits:   3%/9826  
🟩 cxx
  🟩 Clang9             Pass: 100%/4   | Total: 14m 53s | Avg:  3m 43s | Max:  4m 20s
  🟩 Clang10            Pass: 100%/1   | Total:  4m 39s | Avg:  4m 39s | Max:  4m 39s
  🟩 Clang11            Pass: 100%/1   | Total:  3m 57s | Avg:  3m 57s | Max:  3m 57s
  🟩 Clang12            Pass: 100%/1   | Total:  4m 10s | Avg:  4m 10s | Max:  4m 10s
  🟩 Clang13            Pass: 100%/1   | Total:  4m 10s | Avg:  4m 10s | Max:  4m 10s
  🟩 Clang14            Pass: 100%/1   | Total:  4m 12s | Avg:  4m 12s | Max:  4m 12s
  🟩 Clang15            Pass: 100%/1   | Total:  4m 05s | Avg:  4m 05s | Max:  4m 05s
  🟩 Clang16            Pass: 100%/1   | Total: 13m 45s | Avg: 13m 45s | Max: 13m 45s
  🟩 Clang17            Pass: 100%/1   | Total:  4m 05s | Avg:  4m 05s | Max:  4m 05s
  🟩 Clang18            Pass: 100%/8   | Total:  1h 45m | Avg: 13m 09s | Max: 24m 03s
  🟩 GCC6               Pass: 100%/2   | Total:  5m 15s | Avg:  2m 37s | Max:  2m 39s
  🟩 GCC7               Pass: 100%/2   | Total:  6m 30s | Avg:  3m 15s | Max:  3m 30s
  🟩 GCC8               Pass: 100%/1   | Total:  3m 35s | Avg:  3m 35s | Max:  3m 35s
  🟩 GCC9               Pass: 100%/3   | Total:  9m 24s | Avg:  3m 08s | Max:  3m 41s
  🟩 GCC10              Pass: 100%/1   | Total:  3m 32s | Avg:  3m 32s | Max:  3m 32s
  🟩 GCC11              Pass: 100%/1   | Total:  3m 41s | Avg:  3m 41s | Max:  3m 41s
  🟩 GCC12              Pass: 100%/1   | Total:  3m 51s | Avg:  3m 51s | Max:  3m 51s
  🟩 GCC13              Pass: 100%/10  | Total:  2h 46m | Avg: 16m 40s | Max: 43m 37s
  🟩 Intel2023.2.0      Pass: 100%/1   | Total: 24m 28s | Avg: 24m 28s | Max: 24m 28s
  🟩 MSVC14.16          Pass: 100%/1   | Total: 36m 16s | Avg: 36m 16s | Max: 36m 16s | Hits:   3%/2242  
  🟩 MSVC14.29          Pass: 100%/1   | Total: 35m 17s | Avg: 35m 17s | Max: 35m 17s | Hits:   3%/2479  
  🟩 MSVC14.39          Pass: 100%/2   | Total:  1h 24m | Avg: 42m 16s | Max: 46m 33s | Hits:   3%/5105  
  🟩 NVHPC24.7          Pass: 100%/2   | Total:  1h 10m | Avg: 35m 08s | Max: 38m 30s
🟩 cxx_family
  🟩 Clang              Pass: 100%/20  | Total:  2h 43m | Avg:  8m 09s | Max: 24m 03s
  🟩 GCC                Pass: 100%/21  | Total:  3h 22m | Avg:  9m 38s | Max: 43m 37s
  🟩 Intel              Pass: 100%/1   | Total: 24m 28s | Avg: 24m 28s | Max: 24m 28s
  🟩 MSVC               Pass: 100%/4   | Total:  2h 36m | Avg: 39m 01s | Max: 46m 33s | Hits:   3%/9826  
  🟩 NVHPC              Pass: 100%/2   | Total:  1h 10m | Avg: 35m 08s | Max: 38m 30s
🟩 gpu
  🟩 v100               Pass: 100%/48  | Total: 10h 16m | Avg: 12m 50s | Max: 46m 33s | Hits:   3%/9826  
🟩 jobs
  🟩 Build              Pass: 100%/41  | Total:  7h 21m | Avg: 10m 45s | Max: 46m 33s | Hits:   3%/9826  
  🟩 NVRTC              Pass: 100%/4   | Total:  2h 05m | Avg: 31m 20s | Max: 43m 37s
  🟩 Test               Pass: 100%/2   | Total: 47m 59s | Avg: 23m 59s | Max: 24m 03s
  🟩 VerifyCodegen      Pass: 100%/1   | Total:  1m 54s | Avg:  1m 54s | Max:  1m 54s
🟩 sm
  🟩 90                 Pass: 100%/1   | Total: 13m 53s | Avg: 13m 53s | Max: 13m 53s
  🟩 90a                Pass: 100%/2   | Total: 17m 54s | Avg:  8m 57s | Max: 13m 56s
🟩 std
  🟩 11                 Pass: 100%/6   | Total: 39m 21s | Avg:  6m 33s | Max: 24m 09s
  🟩 14                 Pass: 100%/5   | Total:  1h 30m | Avg: 18m 04s | Max: 43m 37s | Hits:   3%/2242  
  🟩 17                 Pass: 100%/13  | Total:  3h 24m | Avg: 15m 42s | Max: 38m 00s | Hits:   3%/4958  
  🟩 20                 Pass: 100%/23  | Total:  4h 40m | Avg: 12m 12s | Max: 46m 33s | Hits:   3%/2626

  • 🟩 cub: Pass: 100%/47 | Total: 13h 21m | Avg: 17m 03s | Max: 1h 08m | Hits: 0%/3132 

    🟩 cpu
  🟩 amd64              Pass: 100%/45  | Total: 13h 11m | Avg: 17m 35s | Max:  1h 08m | Hits:   0%/3132  
  🟩 arm64              Pass: 100%/2   | Total:  9m 36s | Avg:  4m 48s | Max:  4m 55s
🟩 ctk
  🟩 11.1               Pass: 100%/7   | Total:  1h 25m | Avg: 12m 12s | Max: 59m 34s | Hits:   0%/783   
  🟩 12.5               Pass: 100%/2   | Total:  2h 11m | Avg:  1h 05m | Max:  1h 08m
  🟩 12.6               Pass: 100%/38  | Total:  9h 44m | Avg: 15m 22s | Max:  1h 08m | Hits:   0%/2349  
🟩 cudacxx
  🟩 ClangCUDA18        Pass: 100%/2   | Total:  8m 39s | Avg:  4m 19s | Max:  4m 26s
  🟩 nvcc11.1           Pass: 100%/7   | Total:  1h 25m | Avg: 12m 12s | Max: 59m 34s | Hits:   0%/783   
  🟩 nvcc12.5           Pass: 100%/2   | Total:  2h 11m | Avg:  1h 05m | Max:  1h 08m
  🟩 nvcc12.6           Pass: 100%/36  | Total:  9h 35m | Avg: 15m 59s | Max:  1h 08m | Hits:   0%/2349  
🟩 cudacxx_family
  🟩 ClangCUDA          Pass: 100%/2   | Total:  8m 39s | Avg:  4m 19s | Max:  4m 26s
  🟩 nvcc               Pass: 100%/45  | Total: 13h 12m | Avg: 17m 37s | Max:  1h 08m | Hits:   0%/3132  
🟩 cxx
  🟩 Clang9             Pass: 100%/4   | Total: 21m 06s | Avg:  5m 16s | Max:  6m 22s
  🟩 Clang10            Pass: 100%/1   | Total:  6m 13s | Avg:  6m 13s | Max:  6m 13s
  🟩 Clang11            Pass: 100%/1   | Total:  5m 42s | Avg:  5m 42s | Max:  5m 42s
  🟩 Clang12            Pass: 100%/1   | Total:  5m 28s | Avg:  5m 28s | Max:  5m 28s
  🟩 Clang13            Pass: 100%/1   | Total:  5m 24s | Avg:  5m 24s | Max:  5m 24s
  🟩 Clang14            Pass: 100%/1   | Total:  5m 22s | Avg:  5m 22s | Max:  5m 22s
  🟩 Clang15            Pass: 100%/1   | Total:  5m 54s | Avg:  5m 54s | Max:  5m 54s
  🟩 Clang16            Pass: 100%/1   | Total:  5m 32s | Avg:  5m 32s | Max:  5m 32s
  🟩 Clang17            Pass: 100%/1   | Total:  5m 24s | Avg:  5m 24s | Max:  5m 24s
  🟩 Clang18            Pass: 100%/7   | Total:  1h 15m | Avg: 10m 44s | Max: 30m 34s
  🟩 GCC6               Pass: 100%/2   | Total:  8m 26s | Avg:  4m 13s | Max:  4m 24s
  🟩 GCC7               Pass: 100%/2   | Total: 10m 22s | Avg:  5m 11s | Max:  5m 21s
  🟩 GCC8               Pass: 100%/1   | Total:  5m 05s | Avg:  5m 05s | Max:  5m 05s
  🟩 GCC9               Pass: 100%/3   | Total: 14m 09s | Avg:  4m 43s | Max:  5m 14s
  🟩 GCC10              Pass: 100%/1   | Total:  5m 23s | Avg:  5m 23s | Max:  5m 23s
  🟩 GCC11              Pass: 100%/1   | Total:  5m 29s | Avg:  5m 29s | Max:  5m 29s
  🟩 GCC12              Pass: 100%/3   | Total: 28m 24s | Avg:  9m 28s | Max: 18m 31s
  🟩 GCC13              Pass: 100%/8   | Total:  2h 00m | Avg: 15m 02s | Max: 40m 00s
  🟩 Intel2023.2.0      Pass: 100%/1   | Total:  1h 07m | Avg:  1h 07m | Max:  1h 07m
  🟩 MSVC14.16          Pass: 100%/1   | Total: 59m 34s | Avg: 59m 34s | Max: 59m 34s | Hits:   0%/783   
  🟩 MSVC14.29          Pass: 100%/1   | Total:  1h 08m | Avg:  1h 08m | Max:  1h 08m | Hits:   0%/783   
  🟩 MSVC14.39          Pass: 100%/2   | Total:  2h 14m | Avg:  1h 07m | Max:  1h 08m | Hits:   0%/1566  
  🟩 NVHPC24.7          Pass: 100%/2   | Total:  2h 11m | Avg:  1h 05m | Max:  1h 08m
🟩 cxx_family
  🟩 Clang              Pass: 100%/19  | Total:  2h 21m | Avg:  7m 26s | Max: 30m 34s
  🟩 GCC                Pass: 100%/21  | Total:  3h 17m | Avg:  9m 24s | Max: 40m 00s
  🟩 Intel              Pass: 100%/1   | Total:  1h 07m | Avg:  1h 07m | Max:  1h 07m
  🟩 MSVC               Pass: 100%/4   | Total:  4h 23m | Avg:  1h 05m | Max:  1h 08m | Hits:   0%/3132  
  🟩 NVHPC              Pass: 100%/2   | Total:  2h 11m | Avg:  1h 05m | Max:  1h 08m
🟩 gpu
  🟩 h100               Pass: 100%/2   | Total: 22m 49s | Avg: 11m 24s | Max: 18m 31s
  🟩 v100               Pass: 100%/45  | Total: 12h 58m | Avg: 17m 18s | Max:  1h 08m | Hits:   0%/3132  
🟩 jobs
  🟩 Build              Pass: 100%/40  | Total: 10h 32m | Avg: 15m 48s | Max:  1h 08m | Hits:   0%/3132  
  🟩 DeviceLaunch       Pass: 100%/1   | Total: 22m 38s | Avg: 22m 38s | Max: 22m 38s
  🟩 GraphCapture       Pass: 100%/1   | Total: 16m 27s | Avg: 16m 27s | Max: 16m 27s
  🟩 HostLaunch         Pass: 100%/3   | Total: 59m 08s | Avg: 19m 42s | Max: 20m 27s
  🟩 TestGPU            Pass: 100%/2   | Total:  1h 10m | Avg: 35m 17s | Max: 40m 00s
🟩 sm
  🟩 90                 Pass: 100%/2   | Total: 22m 49s | Avg: 11m 24s | Max: 18m 31s
  🟩 90a                Pass: 100%/1   | Total:  4m 34s | Avg:  4m 34s | Max:  4m 34s
🟩 std
  🟩 11                 Pass: 100%/5   | Total: 23m 57s | Avg:  4m 47s | Max:  6m 10s
  🟩 14                 Pass: 100%/4   | Total:  1h 15m | Avg: 18m 50s | Max: 59m 34s | Hits:   0%/783   
  🟩 17                 Pass: 100%/12  | Total:  5h 09m | Avg: 25m 47s | Max:  1h 08m | Hits:   0%/1566  
  🟩 20                 Pass: 100%/26  | Total:  6h 32m | Avg: 15m 06s | Max:  1h 08m | Hits:   0%/783

  • 🟩 thrust: Pass: 100%/46 | Total: 12h 15m | Avg: 15m 59s | Max: 1h 24m | Hits: 20%/9260 

    🟩 cmake_options
  🟩 -DTHRUST_DISPATCH_TYPE=Force32bit Pass: 100%/2   | Total: 18m 44s | Avg:  9m 22s | Max: 12m 15s
🟩 cpu
  🟩 amd64              Pass: 100%/44  | Total: 12h 06m | Avg: 16m 30s | Max:  1h 24m | Hits:  20%/9260  
  🟩 arm64              Pass: 100%/2   | Total:  9m 33s | Avg:  4m 46s | Max:  5m 00s
🟩 ctk
  🟩 11.1               Pass: 100%/7   | Total:  1h 30m | Avg: 12m 58s | Max:  1h 05m | Hits:   0%/1852  
  🟩 12.5               Pass: 100%/2   | Total:  2h 32m | Avg:  1h 16m | Max:  1h 16m
  🟩 12.6               Pass: 100%/37  | Total:  8h 12m | Avg: 13m 18s | Max:  1h 24m | Hits:  25%/7408  
🟩 cudacxx
  🟩 ClangCUDA18        Pass: 100%/2   | Total: 10m 10s | Avg:  5m 05s | Max:  5m 21s
  🟩 nvcc11.1           Pass: 100%/7   | Total:  1h 30m | Avg: 12m 58s | Max:  1h 05m | Hits:   0%/1852  
  🟩 nvcc12.5           Pass: 100%/2   | Total:  2h 32m | Avg:  1h 16m | Max:  1h 16m
  🟩 nvcc12.6           Pass: 100%/35  | Total:  8h 02m | Avg: 13m 46s | Max:  1h 24m | Hits:  25%/7408  
🟩 cudacxx_family
  🟩 ClangCUDA          Pass: 100%/2   | Total: 10m 10s | Avg:  5m 05s | Max:  5m 21s
  🟩 nvcc               Pass: 100%/44  | Total: 12h 05m | Avg: 16m 29s | Max:  1h 24m | Hits:  20%/9260  
🟩 cxx
  🟩 Clang9             Pass: 100%/4   | Total: 20m 11s | Avg:  5m 02s | Max:  5m 51s
  🟩 Clang10            Pass: 100%/1   | Total:  6m 25s | Avg:  6m 25s | Max:  6m 25s
  🟩 Clang11            Pass: 100%/1   | Total:  5m 19s | Avg:  5m 19s | Max:  5m 19s
  🟩 Clang12            Pass: 100%/1   | Total:  5m 00s | Avg:  5m 00s | Max:  5m 00s
  🟩 Clang13            Pass: 100%/1   | Total:  5m 14s | Avg:  5m 14s | Max:  5m 14s
  🟩 Clang14            Pass: 100%/1   | Total:  5m 11s | Avg:  5m 11s | Max:  5m 11s
  🟩 Clang15            Pass: 100%/1   | Total:  5m 32s | Avg:  5m 32s | Max:  5m 32s
  🟩 Clang16            Pass: 100%/1   | Total:  5m 13s | Avg:  5m 13s | Max:  5m 13s
  🟩 Clang17            Pass: 100%/1   | Total:  5m 23s | Avg:  5m 23s | Max:  5m 23s
  🟩 Clang18            Pass: 100%/7   | Total: 44m 27s | Avg:  6m 21s | Max: 11m 37s
  🟩 GCC6               Pass: 100%/2   | Total:  8m 17s | Avg:  4m 08s | Max:  4m 24s
  🟩 GCC7               Pass: 100%/2   | Total:  9m 43s | Avg:  4m 51s | Max:  5m 01s
  🟩 GCC8               Pass: 100%/1   | Total:  5m 33s | Avg:  5m 33s | Max:  5m 33s
  🟩 GCC9               Pass: 100%/3   | Total: 14m 03s | Avg:  4m 41s | Max:  5m 18s
  🟩 GCC10              Pass: 100%/1   | Total:  5m 12s | Avg:  5m 12s | Max:  5m 12s
  🟩 GCC11              Pass: 100%/1   | Total:  5m 56s | Avg:  5m 56s | Max:  5m 56s
  🟩 GCC12              Pass: 100%/1   | Total:  5m 49s | Avg:  5m 49s | Max:  5m 49s
  🟩 GCC13              Pass: 100%/8   | Total:  1h 01m | Avg:  7m 41s | Max: 13m 23s
  🟩 Intel2023.2.0      Pass: 100%/1   | Total: 51m 48s | Avg: 51m 48s | Max: 51m 48s
  🟩 MSVC14.16          Pass: 100%/1   | Total:  1h 05m | Avg:  1h 05m | Max:  1h 05m | Hits:   0%/1852  
  🟩 MSVC14.29          Pass: 100%/1   | Total:  1h 05m | Avg:  1h 05m | Max:  1h 05m | Hits:   0%/1852  
  🟩 MSVC14.39          Pass: 100%/3   | Total:  2h 56m | Avg: 58m 52s | Max:  1h 24m | Hits:  33%/5556  
  🟩 NVHPC24.7          Pass: 100%/2   | Total:  2h 32m | Avg:  1h 16m | Max:  1h 16m
🟩 cxx_family
  🟩 Clang              Pass: 100%/19  | Total:  1h 47m | Avg:  5m 40s | Max: 11m 37s
  🟩 GCC                Pass: 100%/19  | Total:  1h 56m | Avg:  6m 06s | Max: 13m 23s
  🟩 Intel              Pass: 100%/1   | Total: 51m 48s | Avg: 51m 48s | Max: 51m 48s
  🟩 MSVC               Pass: 100%/5   | Total:  5h 07m | Avg:  1h 01m | Max:  1h 24m | Hits:  20%/9260  
  🟩 NVHPC              Pass: 100%/2   | Total:  2h 32m | Avg:  1h 16m | Max:  1h 16m
🟩 gpu
  🟩 v100               Pass: 100%/46  | Total: 12h 15m | Avg: 15m 59s | Max:  1h 24m | Hits:  20%/9260  
🟩 jobs
  🟩 Build              Pass: 100%/40  | Total: 11h 00m | Avg: 16m 30s | Max:  1h 24m | Hits:   0%/7408  
  🟩 TestCPU            Pass: 100%/3   | Total: 38m 28s | Avg: 12m 49s | Max: 22m 49s | Hits:  99%/1852  
  🟩 TestGPU            Pass: 100%/3   | Total: 37m 15s | Avg: 12m 25s | Max: 13m 23s
🟩 sm
  🟩 90a                Pass: 100%/1   | Total:  4m 33s | Avg:  4m 33s | Max:  4m 33s
🟩 std
  🟩 11                 Pass: 100%/5   | Total: 22m 04s | Avg:  4m 24s | Max:  5m 31s
  🟩 14                 Pass: 100%/4   | Total:  1h 20m | Avg: 20m 04s | Max:  1h 05m | Hits:   0%/1852  
  🟩 17                 Pass: 100%/12  | Total:  5h 06m | Avg: 25m 31s | Max:  1h 16m | Hits:   0%/3704  
  🟩 20                 Pass: 100%/23  | Total:  5h 08m | Avg: 13m 24s | Max:  1h 24m | Hits:  49%/3704

  • 🟩 cudax: Pass: 100%/26 | Total: 2h 17m | Avg: 5m 17s | Max: 17m 57s | Hits: 1%/312 

    🟩 cpu
  🟩 amd64              Pass: 100%/22  | Total:  2h 07m | Avg:  5m 46s | Max: 17m 57s | Hits:   1%/312   
  🟩 arm64              Pass: 100%/4   | Total: 10m 09s | Avg:  2m 32s | Max:  2m 37s
🟩 ctk
  🟩 12.0               Pass: 100%/3   | Total: 17m 27s | Avg:  5m 49s | Max: 11m 27s | Hits:   1%/156   
  🟩 12.5               Pass: 100%/2   | Total: 17m 55s | Avg:  8m 57s | Max:  9m 17s
  🟩 12.6               Pass: 100%/21  | Total:  1h 42m | Avg:  4m 51s | Max: 17m 57s | Hits:   1%/156   
🟩 cudacxx
  🟩 nvcc12.0           Pass: 100%/3   | Total: 17m 27s | Avg:  5m 49s | Max: 11m 27s | Hits:   1%/156   
  🟩 nvcc12.5           Pass: 100%/2   | Total: 17m 55s | Avg:  8m 57s | Max:  9m 17s
  🟩 nvcc12.6           Pass: 100%/21  | Total:  1h 42m | Avg:  4m 51s | Max: 17m 57s | Hits:   1%/156   
🟩 cudacxx_family
  🟩 nvcc               Pass: 100%/26  | Total:  2h 17m | Avg:  5m 17s | Max: 17m 57s | Hits:   1%/312   
🟩 cxx
  🟩 Clang9             Pass: 100%/1   | Total:  3m 02s | Avg:  3m 02s | Max:  3m 02s
  🟩 Clang10            Pass: 100%/1   | Total:  3m 46s | Avg:  3m 46s | Max:  3m 46s
  🟩 Clang11            Pass: 100%/1   | Total:  3m 12s | Avg:  3m 12s | Max:  3m 12s
  🟩 Clang12            Pass: 100%/1   | Total:  3m 13s | Avg:  3m 13s | Max:  3m 13s
  🟩 Clang13            Pass: 100%/1   | Total:  3m 09s | Avg:  3m 09s | Max:  3m 09s
  🟩 Clang14            Pass: 100%/1   | Total:  3m 11s | Avg:  3m 11s | Max:  3m 11s
  🟩 Clang15            Pass: 100%/1   | Total:  3m 14s | Avg:  3m 14s | Max:  3m 14s
  🟩 Clang16            Pass: 100%/1   | Total:  3m 13s | Avg:  3m 13s | Max:  3m 13s
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  🟩 Clang18            Pass: 100%/4   | Total: 26m 15s | Avg:  6m 33s | Max: 17m 57s
  🟩 GCC9               Pass: 100%/1   | Total:  2m 58s | Avg:  2m 58s | Max:  2m 58s
  🟩 GCC10              Pass: 100%/1   | Total:  3m 04s | Avg:  3m 04s | Max:  3m 04s
  🟩 GCC11              Pass: 100%/1   | Total:  3m 10s | Avg:  3m 10s | Max:  3m 10s
  🟩 GCC12              Pass: 100%/2   | Total: 20m 26s | Avg: 10m 13s | Max: 17m 14s
  🟩 GCC13              Pass: 100%/4   | Total: 10m 44s | Avg:  2m 41s | Max:  2m 48s
  🟩 MSVC14.36          Pass: 100%/1   | Total: 11m 27s | Avg: 11m 27s | Max: 11m 27s | Hits:   1%/156   
  🟩 MSVC14.39          Pass: 100%/1   | Total: 12m 03s | Avg: 12m 03s | Max: 12m 03s | Hits:   1%/156   
  🟩 NVHPC24.7          Pass: 100%/2   | Total: 17m 55s | Avg:  8m 57s | Max:  9m 17s
🟩 cxx_family
  🟩 Clang              Pass: 100%/13  | Total: 55m 35s | Avg:  4m 16s | Max: 17m 57s
  🟩 GCC                Pass: 100%/9   | Total: 40m 22s | Avg:  4m 29s | Max: 17m 14s
  🟩 MSVC               Pass: 100%/2   | Total: 23m 30s | Avg: 11m 45s | Max: 12m 03s | Hits:   1%/312   
  🟩 NVHPC              Pass: 100%/2   | Total: 17m 55s | Avg:  8m 57s | Max:  9m 17s
🟩 gpu
  🟩 v100               Pass: 100%/26  | Total:  2h 17m | Avg:  5m 17s | Max: 17m 57s | Hits:   1%/312   
🟩 jobs
  🟩 Build              Pass: 100%/24  | Total:  1h 42m | Avg:  4m 15s | Max: 12m 03s | Hits:   1%/312   
  🟩 Test               Pass: 100%/2   | Total: 35m 11s | Avg: 17m 35s | Max: 17m 57s
🟩 sm
  🟩 90                 Pass: 100%/1   | Total:  2m 48s | Avg:  2m 48s | Max:  2m 48s
  🟩 90a                Pass: 100%/1   | Total:  2m 45s | Avg:  2m 45s | Max:  2m 45s
🟩 std
  🟩 17                 Pass: 100%/6   | Total: 22m 30s | Avg:  3m 45s | Max:  8m 38s
  🟩 20                 Pass: 100%/20  | Total:  1h 54m | Avg:  5m 44s | Max: 17m 57s | Hits:   1%/312

  • 🟩 cccl_c_parallel: Pass: 100%/2 | Total: 10m 17s | Avg: 5m 08s | Max: 8m 09s

     
    🟩 cpu
  🟩 amd64              Pass: 100%/2   | Total: 10m 17s | Avg:  5m 08s | Max:  8m 09s
🟩 ctk
  🟩 12.6               Pass: 100%/2   | Total: 10m 17s | Avg:  5m 08s | Max:  8m 09s
🟩 cudacxx
  🟩 nvcc12.6           Pass: 100%/2   | Total: 10m 17s | Avg:  5m 08s | Max:  8m 09s
🟩 cudacxx_family
  🟩 nvcc               Pass: 100%/2   | Total: 10m 17s | Avg:  5m 08s | Max:  8m 09s
🟩 cxx
  🟩 GCC13              Pass: 100%/2   | Total: 10m 17s | Avg:  5m 08s | Max:  8m 09s
🟩 cxx_family
  🟩 GCC                Pass: 100%/2   | Total: 10m 17s | Avg:  5m 08s | Max:  8m 09s
🟩 gpu
  🟩 v100               Pass: 100%/2   | Total: 10m 17s | Avg:  5m 08s | Max:  8m 09s
🟩 jobs
  🟩 Build              Pass: 100%/1   | Total:  2m 08s | Avg:  2m 08s | Max:  2m 08s
  🟩 Test               Pass: 100%/1   | Total:  8m 09s | Avg:  8m 09s | Max:  8m 09s

  • 🟩 python: Pass: 100%/1 | Total: 27m 48s | Avg: 27m 48s | Max: 27m 48s

     
    🟩 cpu
  🟩 amd64              Pass: 100%/1   | Total: 27m 48s | Avg: 27m 48s | Max: 27m 48s
🟩 ctk
  🟩 12.6               Pass: 100%/1   | Total: 27m 48s | Avg: 27m 48s | Max: 27m 48s
🟩 cudacxx
  🟩 nvcc12.6           Pass: 100%/1   | Total: 27m 48s | Avg: 27m 48s | Max: 27m 48s
🟩 cudacxx_family
  🟩 nvcc               Pass: 100%/1   | Total: 27m 48s | Avg: 27m 48s | Max: 27m 48s
🟩 cxx
  🟩 GCC13              Pass: 100%/1   | Total: 27m 48s | Avg: 27m 48s | Max: 27m 48s
🟩 cxx_family
  🟩 GCC                Pass: 100%/1   | Total: 27m 48s | Avg: 27m 48s | Max: 27m 48s
🟩 gpu
  🟩 v100               Pass: 100%/1   | Total: 27m 48s | Avg: 27m 48s | Max: 27m 48s
🟩 jobs
  🟩 Test               Pass: 100%/1   | Total: 27m 48s | Avg: 27m 48s | Max: 27m 48s

👃 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: 170)
# Runner
125 linux-amd64-cpu16
19 linux-amd64-gpu-v100-latest-1
15 windows-amd64-cpu16
10 linux-arm64-cpu16
1 linux-amd64-gpu-h100-latest-1-testing

@pciolkosz
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Would it make sense to add some minimal testing? Maybe confirm one of the arch and one of the os macro is always present? Would it make sense to replace the current usage of the underlying macros or would it make more sense as a separate change?

@fbusato
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fbusato commented Jan 3, 2025

thanks @pciolkosz. I will add minimal testing. I would also love to add stronger tests, but I'm not sure how to implement them. Let me see if I can do something in this direction

pciolkosz
pciolkosz approved these changes Jan 3, 2025
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I like the testing, thanks @fbusato

@fbusato
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fbusato commented Jan 3, 2025

indeed, I found that amazing things happen with nvrtc

#if _CCCL_ARCH(32BIT)
  static_assert(sizeof(void*) == 4, ""); // FAIL!!
#endif

@leofang
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leofang commented Jan 3, 2025

Right, NVRTC follows the host compiler behavior on the respective platforms, though it does not compile host code and therefore has no such concept of host compiler unlike in NVCC.

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github-actions bot commented Jan 4, 2025

🟩 CI finished in 1h 25m: Pass: 100%/170 | Total: 1d 02h | Avg: 9m 15s | Max: 42m 11s | Hits: 67%/22538

  • 🟩 libcudacxx: Pass: 100%/48 | Total: 8h 58m | Avg: 11m 13s | Max: 39m 39s | Hits: 31%/9834 

    🟩 cpu
  🟩 amd64              Pass: 100%/46  | Total:  8h 51m | Avg: 11m 33s | Max: 39m 39s | Hits:  31%/9834  
  🟩 arm64              Pass: 100%/2   | Total:  6m 58s | Avg:  3m 29s | Max:  3m 39s
🟩 ctk
  🟩 11.1               Pass: 100%/7   | Total: 47m 04s | Avg:  6m 43s | Max: 29m 20s | Hits:  34%/2244  
  🟩 12.5               Pass: 100%/2   | Total: 38m 32s | Avg: 19m 16s | Max: 29m 49s
  🟩 12.6               Pass: 100%/39  | Total:  7h 32m | Avg: 11m 36s | Max: 39m 39s | Hits:  31%/7590  
🟩 cudacxx
  🟩 ClangCUDA18        Pass: 100%/4   | Total:  1h 03m | Avg: 15m 55s | Max: 19m 11s
  🟩 nvcc11.1           Pass: 100%/7   | Total: 47m 04s | Avg:  6m 43s | Max: 29m 20s | Hits:  34%/2244  
  🟩 nvcc12.5           Pass: 100%/2   | Total: 38m 32s | Avg: 19m 16s | Max: 29m 49s
  🟩 nvcc12.6           Pass: 100%/35  | Total:  6h 29m | Avg: 11m 07s | Max: 39m 39s | Hits:  31%/7590  
🟩 cudacxx_family
  🟩 ClangCUDA          Pass: 100%/4   | Total:  1h 03m | Avg: 15m 55s | Max: 19m 11s
  🟩 nvcc               Pass: 100%/44  | Total:  7h 54m | Avg: 10m 47s | Max: 39m 39s | Hits:  31%/9834  
🟩 cxx
  🟩 Clang9             Pass: 100%/4   | Total: 15m 09s | Avg:  3m 47s | Max:  4m 37s
  🟩 Clang10            Pass: 100%/1   | Total:  4m 37s | Avg:  4m 37s | Max:  4m 37s
  🟩 Clang11            Pass: 100%/1   | Total:  4m 04s | Avg:  4m 04s | Max:  4m 04s
  🟩 Clang12            Pass: 100%/1   | Total:  4m 13s | Avg:  4m 13s | Max:  4m 13s
  🟩 Clang13            Pass: 100%/1   | Total:  3m 55s | Avg:  3m 55s | Max:  3m 55s
  🟩 Clang14            Pass: 100%/1   | Total:  3m 58s | Avg:  3m 58s | Max:  3m 58s
  🟩 Clang15            Pass: 100%/1   | Total:  4m 10s | Avg:  4m 10s | Max:  4m 10s
  🟩 Clang16            Pass: 100%/1   | Total:  4m 36s | Avg:  4m 36s | Max:  4m 36s
  🟩 Clang17            Pass: 100%/1   | Total:  4m 17s | Avg:  4m 17s | Max:  4m 17s
  🟩 Clang18            Pass: 100%/8   | Total:  1h 44m | Avg: 13m 04s | Max: 28m 49s
  🟩 GCC6               Pass: 100%/2   | Total:  5m 51s | Avg:  2m 55s | Max:  3m 06s
  🟩 GCC7               Pass: 100%/2   | Total:  6m 30s | Avg:  3m 15s | Max:  3m 17s
  🟩 GCC8               Pass: 100%/1   | Total:  3m 46s | Avg:  3m 46s | Max:  3m 46s
  🟩 GCC9               Pass: 100%/3   | Total:  9m 01s | Avg:  3m 00s | Max:  3m 36s
  🟩 GCC10              Pass: 100%/1   | Total:  3m 36s | Avg:  3m 36s | Max:  3m 36s
  🟩 GCC11              Pass: 100%/1   | Total:  3m 28s | Avg:  3m 28s | Max:  3m 28s
  🟩 GCC12              Pass: 100%/1   | Total:  4m 03s | Avg:  4m 03s | Max:  4m 03s
  🟩 GCC13              Pass: 100%/10  | Total:  2h 35m | Avg: 15m 34s | Max: 31m 49s
  🟩 Intel2023.2.0      Pass: 100%/1   | Total: 22m 16s | Avg: 22m 16s | Max: 22m 16s
  🟩 MSVC14.16          Pass: 100%/1   | Total: 29m 20s | Avg: 29m 20s | Max: 29m 20s | Hits:  34%/2244  
  🟩 MSVC14.29          Pass: 100%/1   | Total: 31m 32s | Avg: 31m 32s | Max: 31m 32s | Hits:  31%/2481  
  🟩 MSVC14.39          Pass: 100%/2   | Total:  1h 11m | Avg: 35m 36s | Max: 39m 39s | Hits:  30%/5109  
  🟩 NVHPC24.7          Pass: 100%/2   | Total: 38m 32s | Avg: 19m 16s | Max: 29m 49s
🟩 cxx_family
  🟩 Clang              Pass: 100%/20  | Total:  2h 33m | Avg:  7m 40s | Max: 28m 49s
  🟩 GCC                Pass: 100%/21  | Total:  3h 12m | Avg:  9m 08s | Max: 31m 49s
  🟩 Intel              Pass: 100%/1   | Total: 22m 16s | Avg: 22m 16s | Max: 22m 16s
  🟩 MSVC               Pass: 100%/4   | Total:  2h 12m | Avg: 33m 01s | Max: 39m 39s | Hits:  31%/9834  
  🟩 NVHPC              Pass: 100%/2   | Total: 38m 32s | Avg: 19m 16s | Max: 29m 49s
🟩 gpu
  🟩 v100               Pass: 100%/48  | Total:  8h 58m | Avg: 11m 13s | Max: 39m 39s | Hits:  31%/9834  
🟩 jobs
  🟩 Build              Pass: 100%/41  | Total:  6h 09m | Avg:  9m 00s | Max: 39m 39s | Hits:  31%/9834  
  🟩 NVRTC              Pass: 100%/4   | Total:  1h 46m | Avg: 26m 40s | Max: 27m 46s
  🟩 Test               Pass: 100%/2   | Total:  1h 00m | Avg: 30m 19s | Max: 31m 49s
  🟩 VerifyCodegen      Pass: 100%/1   | Total:  1m 56s | Avg:  1m 56s | Max:  1m 56s
🟩 sm
  🟩 90                 Pass: 100%/1   | Total: 12m 18s | Avg: 12m 18s | Max: 12m 18s
  🟩 90a                Pass: 100%/2   | Total: 17m 32s | Avg:  8m 46s | Max: 13m 35s
🟩 std
  🟩 11                 Pass: 100%/6   | Total: 40m 14s | Avg:  6m 42s | Max: 24m 30s
  🟩 14                 Pass: 100%/5   | Total:  1h 08m | Avg: 13m 36s | Max: 29m 20s | Hits:  34%/2244  
  🟩 17                 Pass: 100%/13  | Total:  3h 06m | Avg: 14m 23s | Max: 31m 33s | Hits:  31%/4962  
  🟩 20                 Pass: 100%/23  | Total:  4h 01m | Avg: 10m 29s | Max: 39m 39s | Hits:  30%/2628

  • 🟩 cub: Pass: 100%/47 | Total: 7h 19m | Avg: 9m 21s | Max: 42m 11s | Hits: 99%/3132 

    🟩 cpu
  🟩 amd64              Pass: 100%/45  | Total:  7h 10m | Avg:  9m 33s | Max: 42m 11s | Hits:  99%/3132  
  🟩 arm64              Pass: 100%/2   | Total:  9m 27s | Avg:  4m 43s | Max:  4m 52s
🟩 ctk
  🟩 11.1               Pass: 100%/7   | Total: 41m 35s | Avg:  5m 56s | Max: 15m 26s | Hits:  99%/783   
  🟩 12.5               Pass: 100%/2   | Total: 18m 40s | Avg:  9m 20s | Max:  9m 44s
  🟩 12.6               Pass: 100%/38  | Total:  6h 19m | Avg:  9m 58s | Max: 42m 11s | Hits:  99%/2349  
🟩 cudacxx
  🟩 ClangCUDA18        Pass: 100%/2   | Total:  8m 47s | Avg:  4m 23s | Max:  4m 28s
  🟩 nvcc11.1           Pass: 100%/7   | Total: 41m 35s | Avg:  5m 56s | Max: 15m 26s | Hits:  99%/783   
  🟩 nvcc12.5           Pass: 100%/2   | Total: 18m 40s | Avg:  9m 20s | Max:  9m 44s
  🟩 nvcc12.6           Pass: 100%/36  | Total:  6h 10m | Avg: 10m 17s | Max: 42m 11s | Hits:  99%/2349  
🟩 cudacxx_family
  🟩 ClangCUDA          Pass: 100%/2   | Total:  8m 47s | Avg:  4m 23s | Max:  4m 28s
  🟩 nvcc               Pass: 100%/45  | Total:  7h 10m | Avg:  9m 34s | Max: 42m 11s | Hits:  99%/3132  
🟩 cxx
  🟩 Clang9             Pass: 100%/4   | Total: 21m 11s | Avg:  5m 17s | Max:  5m 58s
  🟩 Clang10            Pass: 100%/1   | Total:  6m 29s | Avg:  6m 29s | Max:  6m 29s
  🟩 Clang11            Pass: 100%/1   | Total:  5m 28s | Avg:  5m 28s | Max:  5m 28s
  🟩 Clang12            Pass: 100%/1   | Total:  5m 31s | Avg:  5m 31s | Max:  5m 31s
  🟩 Clang13            Pass: 100%/1   | Total:  5m 14s | Avg:  5m 14s | Max:  5m 14s
  🟩 Clang14            Pass: 100%/1   | Total:  5m 26s | Avg:  5m 26s | Max:  5m 26s
  🟩 Clang15            Pass: 100%/1   | Total:  5m 26s | Avg:  5m 26s | Max:  5m 26s
  🟩 Clang16            Pass: 100%/1   | Total:  5m 52s | Avg:  5m 52s | Max:  5m 52s
  🟩 Clang17            Pass: 100%/1   | Total:  5m 18s | Avg:  5m 18s | Max:  5m 18s
  🟩 Clang18            Pass: 100%/7   | Total:  1h 27m | Avg: 12m 30s | Max: 42m 11s
  🟩 GCC6               Pass: 100%/2   | Total:  8m 20s | Avg:  4m 10s | Max:  4m 12s
  🟩 GCC7               Pass: 100%/2   | Total: 10m 11s | Avg:  5m 05s | Max:  5m 19s
  🟩 GCC8               Pass: 100%/1   | Total:  5m 28s | Avg:  5m 28s | Max:  5m 28s
  🟩 GCC9               Pass: 100%/3   | Total: 13m 50s | Avg:  4m 36s | Max:  5m 23s
  🟩 GCC10              Pass: 100%/1   | Total:  5m 20s | Avg:  5m 20s | Max:  5m 20s
  🟩 GCC11              Pass: 100%/1   | Total:  5m 15s | Avg:  5m 15s | Max:  5m 15s
  🟩 GCC12              Pass: 100%/3   | Total: 25m 30s | Avg:  8m 30s | Max: 15m 45s
  🟩 GCC13              Pass: 100%/8   | Total:  2h 11m | Avg: 16m 25s | Max: 36m 49s
  🟩 Intel2023.2.0      Pass: 100%/1   | Total:  6m 25s | Avg:  6m 25s | Max:  6m 25s
  🟩 MSVC14.16          Pass: 100%/1   | Total: 15m 26s | Avg: 15m 26s | Max: 15m 26s | Hits:  99%/783   
  🟩 MSVC14.29          Pass: 100%/1   | Total: 14m 25s | Avg: 14m 25s | Max: 14m 25s | Hits:  99%/783   
  🟩 MSVC14.39          Pass: 100%/2   | Total: 25m 46s | Avg: 12m 53s | Max: 13m 08s | Hits:  99%/1566  
  🟩 NVHPC24.7          Pass: 100%/2   | Total: 18m 40s | Avg:  9m 20s | Max:  9m 44s
🟩 cxx_family
  🟩 Clang              Pass: 100%/19  | Total:  2h 33m | Avg:  8m 04s | Max: 42m 11s
  🟩 GCC                Pass: 100%/21  | Total:  3h 25m | Avg:  9m 46s | Max: 36m 49s
  🟩 Intel              Pass: 100%/1   | Total:  6m 25s | Avg:  6m 25s | Max:  6m 25s
  🟩 MSVC               Pass: 100%/4   | Total: 55m 37s | Avg: 13m 54s | Max: 15m 26s | Hits:  99%/3132  
  🟩 NVHPC              Pass: 100%/2   | Total: 18m 40s | Avg:  9m 20s | Max:  9m 44s
🟩 gpu
  🟩 h100               Pass: 100%/2   | Total: 19m 45s | Avg:  9m 52s | Max: 15m 45s
  🟩 v100               Pass: 100%/45  | Total:  6h 59m | Avg:  9m 19s | Max: 42m 11s | Hits:  99%/3132  
🟩 jobs
  🟩 Build              Pass: 100%/40  | Total:  4h 10m | Avg:  6m 16s | Max: 15m 26s | Hits:  99%/3132  
  🟩 DeviceLaunch       Pass: 100%/1   | Total: 19m 42s | Avg: 19m 42s | Max: 19m 42s
  🟩 GraphCapture       Pass: 100%/1   | Total: 36m 49s | Avg: 36m 49s | Max: 36m 49s
  🟩 HostLaunch         Pass: 100%/3   | Total: 54m 47s | Avg: 18m 15s | Max: 20m 42s
  🟩 TestGPU            Pass: 100%/2   | Total:  1h 17m | Avg: 38m 41s | Max: 42m 11s
🟩 sm
  🟩 90                 Pass: 100%/2   | Total: 19m 45s | Avg:  9m 52s | Max: 15m 45s
  🟩 90a                Pass: 100%/1   | Total:  4m 30s | Avg:  4m 30s | Max:  4m 30s
🟩 std
  🟩 11                 Pass: 100%/5   | Total: 23m 30s | Avg:  4m 42s | Max:  5m 51s
  🟩 14                 Pass: 100%/4   | Total: 30m 51s | Avg:  7m 42s | Max: 15m 26s | Hits:  99%/783   
  🟩 17                 Pass: 100%/12  | Total:  1h 24m | Avg:  7m 03s | Max: 14m 25s | Hits:  99%/1566  
  🟩 20                 Pass: 100%/26  | Total:  5h 00m | Avg: 11m 33s | Max: 42m 11s | Hits:  99%/783

  • 🟩 thrust: Pass: 100%/46 | Total: 6h 48m | Avg: 8m 52s | Max: 26m 45s | Hits: 93%/9260 

    🟩 cmake_options
  🟩 -DTHRUST_DISPATCH_TYPE=Force32bit Pass: 100%/2   | Total: 19m 05s | Avg:  9m 32s | Max: 13m 08s
🟩 cpu
  🟩 amd64              Pass: 100%/44  | Total:  6h 38m | Avg:  9m 03s | Max: 26m 45s | Hits:  93%/9260  
  🟩 arm64              Pass: 100%/2   | Total:  9m 29s | Avg:  4m 44s | Max:  4m 57s
🟩 ctk
  🟩 11.1               Pass: 100%/7   | Total:  1h 12m | Avg: 10m 17s | Max: 26m 45s | Hits:  88%/1852  
  🟩 12.5               Pass: 100%/2   | Total: 34m 23s | Avg: 17m 11s | Max: 19m 36s
  🟩 12.6               Pass: 100%/37  | Total:  5h 01m | Avg:  8m 09s | Max: 24m 27s | Hits:  94%/7408  
🟩 cudacxx
  🟩 ClangCUDA18        Pass: 100%/2   | Total:  9m 39s | Avg:  4m 49s | Max:  4m 51s
  🟩 nvcc11.1           Pass: 100%/7   | Total:  1h 12m | Avg: 10m 17s | Max: 26m 45s | Hits:  88%/1852  
  🟩 nvcc12.5           Pass: 100%/2   | Total: 34m 23s | Avg: 17m 11s | Max: 19m 36s
  🟩 nvcc12.6           Pass: 100%/35  | Total:  4h 52m | Avg:  8m 20s | Max: 24m 27s | Hits:  94%/7408  
🟩 cudacxx_family
  🟩 ClangCUDA          Pass: 100%/2   | Total:  9m 39s | Avg:  4m 49s | Max:  4m 51s
  🟩 nvcc               Pass: 100%/44  | Total:  6h 38m | Avg:  9m 03s | Max: 26m 45s | Hits:  93%/9260  
🟩 cxx
  🟩 Clang9             Pass: 100%/4   | Total: 20m 32s | Avg:  5m 08s | Max:  6m 26s
  🟩 Clang10            Pass: 100%/1   | Total:  6m 59s | Avg:  6m 59s | Max:  6m 59s
  🟩 Clang11            Pass: 100%/1   | Total:  5m 31s | Avg:  5m 31s | Max:  5m 31s
  🟩 Clang12            Pass: 100%/1   | Total:  5m 01s | Avg:  5m 01s | Max:  5m 01s
  🟩 Clang13            Pass: 100%/1   | Total:  5m 11s | Avg:  5m 11s | Max:  5m 11s
  🟩 Clang14            Pass: 100%/1   | Total:  5m 23s | Avg:  5m 23s | Max:  5m 23s
  🟩 Clang15            Pass: 100%/1   | Total:  5m 15s | Avg:  5m 15s | Max:  5m 15s
  🟩 Clang16            Pass: 100%/1   | Total:  5m 55s | Avg:  5m 55s | Max:  5m 55s
  🟩 Clang17            Pass: 100%/1   | Total:  5m 15s | Avg:  5m 15s | Max:  5m 15s
  🟩 Clang18            Pass: 100%/7   | Total: 45m 40s | Avg:  6m 31s | Max: 13m 21s
  🟩 GCC6               Pass: 100%/2   | Total:  7m 57s | Avg:  3m 58s | Max:  4m 15s
  🟩 GCC7               Pass: 100%/2   | Total: 10m 50s | Avg:  5m 25s | Max:  5m 39s
  🟩 GCC8               Pass: 100%/1   | Total:  5m 02s | Avg:  5m 02s | Max:  5m 02s
  🟩 GCC9               Pass: 100%/3   | Total: 37m 30s | Avg: 12m 30s | Max: 26m 45s
  🟩 GCC10              Pass: 100%/1   | Total:  5m 42s | Avg:  5m 42s | Max:  5m 42s
  🟩 GCC11              Pass: 100%/1   | Total:  5m 23s | Avg:  5m 23s | Max:  5m 23s
  🟩 GCC12              Pass: 100%/1   | Total:  5m 35s | Avg:  5m 35s | Max:  5m 35s
  🟩 GCC13              Pass: 100%/8   | Total:  1h 13m | Avg:  9m 12s | Max: 24m 27s
  🟩 Intel2023.2.0      Pass: 100%/1   | Total:  7m 24s | Avg:  7m 24s | Max:  7m 24s
  🟩 MSVC14.16          Pass: 100%/1   | Total: 24m 03s | Avg: 24m 03s | Max: 24m 03s | Hits:  88%/1852  
  🟩 MSVC14.29          Pass: 100%/1   | Total: 17m 18s | Avg: 17m 18s | Max: 17m 18s | Hits:  99%/1852  
  🟩 MSVC14.39          Pass: 100%/3   | Total:  1h 02m | Avg: 20m 55s | Max: 22m 36s | Hits:  93%/5556  
  🟩 NVHPC24.7          Pass: 100%/2   | Total: 34m 23s | Avg: 17m 11s | Max: 19m 36s
🟩 cxx_family
  🟩 Clang              Pass: 100%/19  | Total:  1h 50m | Avg:  5m 49s | Max: 13m 21s
  🟩 GCC                Pass: 100%/19  | Total:  2h 31m | Avg:  7m 58s | Max: 26m 45s
  🟩 Intel              Pass: 100%/1   | Total:  7m 24s | Avg:  7m 24s | Max:  7m 24s
  🟩 MSVC               Pass: 100%/5   | Total:  1h 44m | Avg: 20m 49s | Max: 24m 03s | Hits:  93%/9260  
  🟩 NVHPC              Pass: 100%/2   | Total: 34m 23s | Avg: 17m 11s | Max: 19m 36s
🟩 gpu
  🟩 v100               Pass: 100%/46  | Total:  6h 48m | Avg:  8m 52s | Max: 26m 45s | Hits:  93%/9260  
🟩 jobs
  🟩 Build              Pass: 100%/40  | Total:  5h 19m | Avg:  7m 58s | Max: 26m 45s | Hits:  92%/7408  
  🟩 TestCPU            Pass: 100%/3   | Total: 38m 14s | Avg: 12m 44s | Max: 22m 36s | Hits:  99%/1852  
  🟩 TestGPU            Pass: 100%/3   | Total: 50m 56s | Avg: 16m 58s | Max: 24m 27s
🟩 sm
  🟩 90a                Pass: 100%/1   | Total:  4m 40s | Avg:  4m 40s | Max:  4m 40s
🟩 std
  🟩 11                 Pass: 100%/5   | Total: 45m 13s | Avg:  9m 02s | Max: 26m 45s
  🟩 14                 Pass: 100%/4   | Total: 40m 23s | Avg: 10m 05s | Max: 24m 03s | Hits:  88%/1852  
  🟩 17                 Pass: 100%/12  | Total:  1h 43m | Avg:  8m 35s | Max: 19m 41s | Hits:  95%/3704  
  🟩 20                 Pass: 100%/23  | Total:  3h 20m | Avg:  8m 43s | Max: 24m 27s | Hits:  94%/3704

  • 🟩 cudax: Pass: 100%/26 | Total: 2h 28m | Avg: 5m 41s | Max: 30m 12s | Hits: 92%/312 

    🟩 cpu
  🟩 amd64              Pass: 100%/22  | Total:  2h 17m | Avg:  6m 15s | Max: 30m 12s | Hits:  92%/312   
  🟩 arm64              Pass: 100%/4   | Total: 10m 32s | Avg:  2m 38s | Max:  2m 43s
🟩 ctk
  🟩 12.0               Pass: 100%/3   | Total: 14m 34s | Avg:  4m 51s | Max:  8m 51s | Hits:  92%/156   
  🟩 12.5               Pass: 100%/2   | Total: 10m 09s | Avg:  5m 04s | Max:  5m 19s
  🟩 12.6               Pass: 100%/21  | Total:  2h 03m | Avg:  5m 52s | Max: 30m 12s | Hits:  92%/156   
🟩 cudacxx
  🟩 nvcc12.0           Pass: 100%/3   | Total: 14m 34s | Avg:  4m 51s | Max:  8m 51s | Hits:  92%/156   
  🟩 nvcc12.5           Pass: 100%/2   | Total: 10m 09s | Avg:  5m 04s | Max:  5m 19s
  🟩 nvcc12.6           Pass: 100%/21  | Total:  2h 03m | Avg:  5m 52s | Max: 30m 12s | Hits:  92%/156   
🟩 cudacxx_family
  🟩 nvcc               Pass: 100%/26  | Total:  2h 28m | Avg:  5m 41s | Max: 30m 12s | Hits:  92%/312   
🟩 cxx
  🟩 Clang9             Pass: 100%/1   | Total:  3m 02s | Avg:  3m 02s | Max:  3m 02s
  🟩 Clang10            Pass: 100%/1   | Total:  3m 54s | Avg:  3m 54s | Max:  3m 54s
  🟩 Clang11            Pass: 100%/1   | Total:  2m 59s | Avg:  2m 59s | Max:  2m 59s
  🟩 Clang12            Pass: 100%/1   | Total:  3m 17s | Avg:  3m 17s | Max:  3m 17s
  🟩 Clang13            Pass: 100%/1   | Total:  3m 02s | Avg:  3m 02s | Max:  3m 02s
  🟩 Clang14            Pass: 100%/1   | Total:  2m 59s | Avg:  2m 59s | Max:  2m 59s
  🟩 Clang15            Pass: 100%/1   | Total:  3m 08s | Avg:  3m 08s | Max:  3m 08s
  🟩 Clang16            Pass: 100%/1   | Total:  3m 29s | Avg:  3m 29s | Max:  3m 29s
  🟩 Clang17            Pass: 100%/1   | Total:  3m 15s | Avg:  3m 15s | Max:  3m 15s
  🟩 Clang18            Pass: 100%/4   | Total: 38m 41s | Avg:  9m 40s | Max: 30m 12s
  🟩 GCC9               Pass: 100%/1   | Total:  2m 41s | Avg:  2m 41s | Max:  2m 41s
  🟩 GCC10              Pass: 100%/1   | Total:  3m 46s | Avg:  3m 46s | Max:  3m 46s
  🟩 GCC11              Pass: 100%/1   | Total:  2m 56s | Avg:  2m 56s | Max:  2m 56s
  🟩 GCC12              Pass: 100%/2   | Total: 32m 46s | Avg: 16m 23s | Max: 29m 35s
  🟩 GCC13              Pass: 100%/4   | Total: 10m 36s | Avg:  2m 39s | Max:  2m 44s
  🟩 MSVC14.36          Pass: 100%/1   | Total:  8m 51s | Avg:  8m 51s | Max:  8m 51s | Hits:  92%/156   
  🟩 MSVC14.39          Pass: 100%/1   | Total:  8m 35s | Avg:  8m 35s | Max:  8m 35s | Hits:  92%/156   
  🟩 NVHPC24.7          Pass: 100%/2   | Total: 10m 09s | Avg:  5m 04s | Max:  5m 19s
🟩 cxx_family
  🟩 Clang              Pass: 100%/13  | Total:  1h 07m | Avg:  5m 12s | Max: 30m 12s
  🟩 GCC                Pass: 100%/9   | Total: 52m 45s | Avg:  5m 51s | Max: 29m 35s
  🟩 MSVC               Pass: 100%/2   | Total: 17m 26s | Avg:  8m 43s | Max:  8m 51s | Hits:  92%/312   
  🟩 NVHPC              Pass: 100%/2   | Total: 10m 09s | Avg:  5m 04s | Max:  5m 19s
🟩 gpu
  🟩 v100               Pass: 100%/26  | Total:  2h 28m | Avg:  5m 41s | Max: 30m 12s | Hits:  92%/312   
🟩 jobs
  🟩 Build              Pass: 100%/24  | Total:  1h 28m | Avg:  3m 40s | Max:  8m 51s | Hits:  92%/312   
  🟩 Test               Pass: 100%/2   | Total: 59m 47s | Avg: 29m 53s | Max: 30m 12s
🟩 sm
  🟩 90                 Pass: 100%/1   | Total:  2m 44s | Avg:  2m 44s | Max:  2m 44s
  🟩 90a                Pass: 100%/1   | Total:  2m 40s | Avg:  2m 40s | Max:  2m 40s
🟩 std
  🟩 17                 Pass: 100%/6   | Total: 18m 57s | Avg:  3m 09s | Max:  5m 19s
  🟩 20                 Pass: 100%/20  | Total:  2h 09m | Avg:  6m 27s | Max: 30m 12s | Hits:  92%/312

  • 🟩 cccl_c_parallel: Pass: 100%/2 | Total: 9m 55s | Avg: 4m 57s | Max: 7m 51s

     
    🟩 cpu
  🟩 amd64              Pass: 100%/2   | Total:  9m 55s | Avg:  4m 57s | Max:  7m 51s
🟩 ctk
  🟩 12.6               Pass: 100%/2   | Total:  9m 55s | Avg:  4m 57s | Max:  7m 51s
🟩 cudacxx
  🟩 nvcc12.6           Pass: 100%/2   | Total:  9m 55s | Avg:  4m 57s | Max:  7m 51s
🟩 cudacxx_family
  🟩 nvcc               Pass: 100%/2   | Total:  9m 55s | Avg:  4m 57s | Max:  7m 51s
🟩 cxx
  🟩 GCC13              Pass: 100%/2   | Total:  9m 55s | Avg:  4m 57s | Max:  7m 51s
🟩 cxx_family
  🟩 GCC                Pass: 100%/2   | Total:  9m 55s | Avg:  4m 57s | Max:  7m 51s
🟩 gpu
  🟩 v100               Pass: 100%/2   | Total:  9m 55s | Avg:  4m 57s | Max:  7m 51s
🟩 jobs
  🟩 Build              Pass: 100%/1   | Total:  2m 04s | Avg:  2m 04s | Max:  2m 04s
  🟩 Test               Pass: 100%/1   | Total:  7m 51s | Avg:  7m 51s | Max:  7m 51s

  • 🟩 python: Pass: 100%/1 | Total: 28m 55s | Avg: 28m 55s | Max: 28m 55s

     
    🟩 cpu
  🟩 amd64              Pass: 100%/1   | Total: 28m 55s | Avg: 28m 55s | Max: 28m 55s
🟩 ctk
  🟩 12.6               Pass: 100%/1   | Total: 28m 55s | Avg: 28m 55s | Max: 28m 55s
🟩 cudacxx
  🟩 nvcc12.6           Pass: 100%/1   | Total: 28m 55s | Avg: 28m 55s | Max: 28m 55s
🟩 cudacxx_family
  🟩 nvcc               Pass: 100%/1   | Total: 28m 55s | Avg: 28m 55s | Max: 28m 55s
🟩 cxx
  🟩 GCC13              Pass: 100%/1   | Total: 28m 55s | Avg: 28m 55s | Max: 28m 55s
🟩 cxx_family
  🟩 GCC                Pass: 100%/1   | Total: 28m 55s | Avg: 28m 55s | Max: 28m 55s
🟩 gpu
  🟩 v100               Pass: 100%/1   | Total: 28m 55s | Avg: 28m 55s | Max: 28m 55s
🟩 jobs
  🟩 Test               Pass: 100%/1   | Total: 28m 55s | Avg: 28m 55s | Max: 28m 55s

👃 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: 170)
# Runner
125 linux-amd64-cpu16
19 linux-amd64-gpu-v100-latest-1
15 windows-amd64-cpu16
10 linux-arm64-cpu16
1 linux-amd64-gpu-h100-latest-1-testing

@davebayer
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Q: is it necessary to define the values as function-like macros? Unless we need to delay the macro expansion, I think you we can use ordinary defines and omit the else branch defining the macro to 0. I used the same approach when I implemented the compiler checks

@miscco
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miscco commented Jan 5, 2025

Q: is it necessary to define the values as function-like macros? Unless we need to delay the macro expansion, I think you we can use ordinary defines and omit the else branch defining the macro to 0. I used the same approach when I implemented the compiler checks

If possible we really want to have the function like macros because in that case it is not possible to silently get invalid checks in like using just ARM instead of ARM64

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github-actions bot commented Jan 6, 2025

🟩 CI finished in 1h 45m: Pass: 100%/170 | Total: 1d 13h | Avg: 13m 19s | Max: 1h 16m | Hits: 9%/22538

  • 🟩 libcudacxx: Pass: 100%/48 | Total: 9h 23m | Avg: 11m 44s | Max: 46m 46s | Hits: 3%/9834 

    🟩 cpu
  🟩 amd64              Pass: 100%/46  | Total:  9h 16m | Avg: 12m 06s | Max: 46m 46s | Hits:   3%/9834  
  🟩 arm64              Pass: 100%/2   | Total:  6m 55s | Avg:  3m 27s | Max:  3m 36s
🟩 ctk
  🟩 11.1               Pass: 100%/7   | Total: 52m 08s | Avg:  7m 26s | Max: 34m 31s | Hits:   3%/2244  
  🟩 12.5               Pass: 100%/2   | Total:  1h 06m | Avg: 33m 20s | Max: 33m 47s
  🟩 12.6               Pass: 100%/39  | Total:  7h 24m | Avg: 11m 24s | Max: 46m 46s | Hits:   3%/7590  
🟩 cudacxx
  🟩 ClangCUDA18        Pass: 100%/4   | Total:  1h 05m | Avg: 16m 26s | Max: 20m 10s
  🟩 nvcc11.1           Pass: 100%/7   | Total: 52m 08s | Avg:  7m 26s | Max: 34m 31s | Hits:   3%/2244  
  🟩 nvcc12.5           Pass: 100%/2   | Total:  1h 06m | Avg: 33m 20s | Max: 33m 47s
  🟩 nvcc12.6           Pass: 100%/35  | Total:  6h 19m | Avg: 10m 50s | Max: 46m 46s | Hits:   3%/7590  
🟩 cudacxx_family
  🟩 ClangCUDA          Pass: 100%/4   | Total:  1h 05m | Avg: 16m 26s | Max: 20m 10s
  🟩 nvcc               Pass: 100%/44  | Total:  8h 18m | Avg: 11m 19s | Max: 46m 46s | Hits:   3%/9834  
🟩 cxx
  🟩 Clang9             Pass: 100%/4   | Total: 15m 27s | Avg:  3m 51s | Max:  4m 32s
  🟩 Clang10            Pass: 100%/1   | Total:  4m 59s | Avg:  4m 59s | Max:  4m 59s
  🟩 Clang11            Pass: 100%/1   | Total:  4m 23s | Avg:  4m 23s | Max:  4m 23s
  🟩 Clang12            Pass: 100%/1   | Total:  4m 21s | Avg:  4m 21s | Max:  4m 21s
  🟩 Clang13            Pass: 100%/1   | Total:  3m 56s | Avg:  3m 56s | Max:  3m 56s
  🟩 Clang14            Pass: 100%/1   | Total:  4m 07s | Avg:  4m 07s | Max:  4m 07s
  🟩 Clang15            Pass: 100%/1   | Total:  4m 32s | Avg:  4m 32s | Max:  4m 32s
  🟩 Clang16            Pass: 100%/1   | Total:  4m 23s | Avg:  4m 23s | Max:  4m 23s
  🟩 Clang17            Pass: 100%/1   | Total:  4m 06s | Avg:  4m 06s | Max:  4m 06s
  🟩 Clang18            Pass: 100%/8   | Total:  1h 36m | Avg: 12m 04s | Max: 20m 10s
  🟩 GCC6               Pass: 100%/2   | Total:  5m 23s | Avg:  2m 41s | Max:  2m 48s
  🟩 GCC7               Pass: 100%/2   | Total:  6m 35s | Avg:  3m 17s | Max:  3m 34s
  🟩 GCC8               Pass: 100%/1   | Total:  3m 49s | Avg:  3m 49s | Max:  3m 49s
  🟩 GCC9               Pass: 100%/3   | Total:  9m 29s | Avg:  3m 09s | Max:  3m 48s
  🟩 GCC10              Pass: 100%/1   | Total:  4m 00s | Avg:  4m 00s | Max:  4m 00s
  🟩 GCC11              Pass: 100%/1   | Total:  3m 45s | Avg:  3m 45s | Max:  3m 45s
  🟩 GCC12              Pass: 100%/1   | Total:  4m 03s | Avg:  4m 03s | Max:  4m 03s
  🟩 GCC13              Pass: 100%/10  | Total:  2h 07m | Avg: 12m 42s | Max: 25m 23s
  🟩 Intel2023.2.0      Pass: 100%/1   | Total: 26m 19s | Avg: 26m 19s | Max: 26m 19s
  🟩 MSVC14.16          Pass: 100%/1   | Total: 34m 31s | Avg: 34m 31s | Max: 34m 31s | Hits:   3%/2244  
  🟩 MSVC14.29          Pass: 100%/1   | Total: 36m 12s | Avg: 36m 12s | Max: 36m 12s | Hits:   3%/2481  
  🟩 MSVC14.39          Pass: 100%/2   | Total:  1h 29m | Avg: 44m 33s | Max: 46m 46s | Hits:   3%/5109  
  🟩 NVHPC24.7          Pass: 100%/2   | Total:  1h 06m | Avg: 33m 20s | Max: 33m 47s
🟩 cxx_family
  🟩 Clang              Pass: 100%/20  | Total:  2h 26m | Avg:  7m 20s | Max: 20m 10s
  🟩 GCC                Pass: 100%/21  | Total:  2h 44m | Avg:  7m 48s | Max: 25m 23s
  🟩 Intel              Pass: 100%/1   | Total: 26m 19s | Avg: 26m 19s | Max: 26m 19s
  🟩 MSVC               Pass: 100%/4   | Total:  2h 39m | Avg: 39m 57s | Max: 46m 46s | Hits:   3%/9834  
  🟩 NVHPC              Pass: 100%/2   | Total:  1h 06m | Avg: 33m 20s | Max: 33m 47s
🟩 gpu
  🟩 v100               Pass: 100%/48  | Total:  9h 23m | Avg: 11m 44s | Max: 46m 46s | Hits:   3%/9834  
🟩 jobs
  🟩 Build              Pass: 100%/41  | Total:  7h 13m | Avg: 10m 34s | Max: 46m 46s | Hits:   3%/9834  
  🟩 NVRTC              Pass: 100%/4   | Total:  1h 33m | Avg: 23m 18s | Max: 25m 23s
  🟩 Test               Pass: 100%/2   | Total: 34m 57s | Avg: 17m 28s | Max: 18m 34s
  🟩 VerifyCodegen      Pass: 100%/1   | Total:  2m 04s | Avg:  2m 04s | Max:  2m 04s
🟩 sm
  🟩 90                 Pass: 100%/1   | Total: 13m 00s | Avg: 13m 00s | Max: 13m 00s
  🟩 90a                Pass: 100%/2   | Total: 17m 53s | Avg:  8m 56s | Max: 13m 47s
🟩 std
  🟩 11                 Pass: 100%/6   | Total: 39m 47s | Avg:  6m 37s | Max: 24m 17s
  🟩 14                 Pass: 100%/5   | Total:  1h 10m | Avg: 14m 09s | Max: 34m 31s | Hits:   3%/2244  
  🟩 17                 Pass: 100%/13  | Total:  3h 31m | Avg: 16m 15s | Max: 46m 46s | Hits:   3%/4962  
  🟩 20                 Pass: 100%/23  | Total:  3h 59m | Avg: 10m 25s | Max: 42m 20s | Hits:   3%/2628

  • 🟩 cub: Pass: 100%/47 | Total: 13h 17m | Avg: 16m 58s | Max: 1h 14m | Hits: 0%/3132 

    🟩 cpu
  🟩 amd64              Pass: 100%/45  | Total: 13h 08m | Avg: 17m 30s | Max:  1h 14m | Hits:   0%/3132  
  🟩 arm64              Pass: 100%/2   | Total:  9m 38s | Avg:  4m 49s | Max:  4m 58s
🟩 ctk
  🟩 11.1               Pass: 100%/7   | Total:  1h 32m | Avg: 13m 14s | Max:  1h 06m | Hits:   0%/783   
  🟩 12.5               Pass: 100%/2   | Total:  2h 27m | Avg:  1h 13m | Max:  1h 14m
  🟩 12.6               Pass: 100%/38  | Total:  9h 17m | Avg: 14m 40s | Max:  1h 07m | Hits:   0%/2349  
🟩 cudacxx
  🟩 ClangCUDA18        Pass: 100%/2   | Total:  8m 48s | Avg:  4m 24s | Max:  4m 27s
  🟩 nvcc11.1           Pass: 100%/7   | Total:  1h 32m | Avg: 13m 14s | Max:  1h 06m | Hits:   0%/783   
  🟩 nvcc12.5           Pass: 100%/2   | Total:  2h 27m | Avg:  1h 13m | Max:  1h 14m
  🟩 nvcc12.6           Pass: 100%/36  | Total:  9h 08m | Avg: 15m 14s | Max:  1h 07m | Hits:   0%/2349  
🟩 cudacxx_family
  🟩 ClangCUDA          Pass: 100%/2   | Total:  8m 48s | Avg:  4m 24s | Max:  4m 27s
  🟩 nvcc               Pass: 100%/45  | Total: 13h 09m | Avg: 17m 32s | Max:  1h 14m | Hits:   0%/3132  
🟩 cxx
  🟩 Clang9             Pass: 100%/4   | Total: 21m 17s | Avg:  5m 19s | Max:  6m 19s
  🟩 Clang10            Pass: 100%/1   | Total:  6m 43s | Avg:  6m 43s | Max:  6m 43s
  🟩 Clang11            Pass: 100%/1   | Total:  5m 27s | Avg:  5m 27s | Max:  5m 27s
  🟩 Clang12            Pass: 100%/1   | Total:  5m 25s | Avg:  5m 25s | Max:  5m 25s
  🟩 Clang13            Pass: 100%/1   | Total:  5m 17s | Avg:  5m 17s | Max:  5m 17s
  🟩 Clang14            Pass: 100%/1   | Total:  5m 26s | Avg:  5m 26s | Max:  5m 26s
  🟩 Clang15            Pass: 100%/1   | Total:  5m 47s | Avg:  5m 47s | Max:  5m 47s
  🟩 Clang16            Pass: 100%/1   | Total:  5m 44s | Avg:  5m 44s | Max:  5m 44s
  🟩 Clang17            Pass: 100%/1   | Total:  5m 26s | Avg:  5m 26s | Max:  5m 26s
  🟩 Clang18            Pass: 100%/7   | Total:  1h 25m | Avg: 12m 12s | Max: 34m 15s
  🟩 GCC6               Pass: 100%/2   | Total:  8m 25s | Avg:  4m 12s | Max:  4m 20s
  🟩 GCC7               Pass: 100%/2   | Total: 10m 02s | Avg:  5m 01s | Max:  5m 07s
  🟩 GCC8               Pass: 100%/1   | Total:  5m 18s | Avg:  5m 18s | Max:  5m 18s
  🟩 GCC9               Pass: 100%/3   | Total: 14m 29s | Avg:  4m 49s | Max:  5m 21s
  🟩 GCC10              Pass: 100%/1   | Total:  5m 29s | Avg:  5m 29s | Max:  5m 29s
  🟩 GCC11              Pass: 100%/1   | Total:  5m 52s | Avg:  5m 52s | Max:  5m 52s
  🟩 GCC12              Pass: 100%/3   | Total: 26m 07s | Avg:  8m 42s | Max: 16m 10s
  🟩 GCC13              Pass: 100%/8   | Total:  1h 36m | Avg: 12m 03s | Max: 21m 19s
  🟩 Intel2023.2.0      Pass: 100%/1   | Total:  1h 04m | Avg:  1h 04m | Max:  1h 04m
  🟩 MSVC14.16          Pass: 100%/1   | Total:  1h 06m | Avg:  1h 06m | Max:  1h 06m | Hits:   0%/783   
  🟩 MSVC14.29          Pass: 100%/1   | Total:  1h 02m | Avg:  1h 02m | Max:  1h 02m | Hits:   0%/783   
  🟩 MSVC14.39          Pass: 100%/2   | Total:  2h 12m | Avg:  1h 06m | Max:  1h 07m | Hits:   0%/1566  
  🟩 NVHPC24.7          Pass: 100%/2   | Total:  2h 27m | Avg:  1h 13m | Max:  1h 14m
🟩 cxx_family
  🟩 Clang              Pass: 100%/19  | Total:  2h 31m | Avg:  7m 59s | Max: 34m 15s
  🟩 GCC                Pass: 100%/21  | Total:  2h 52m | Avg:  8m 11s | Max: 21m 19s
  🟩 Intel              Pass: 100%/1   | Total:  1h 04m | Avg:  1h 04m | Max:  1h 04m
  🟩 MSVC               Pass: 100%/4   | Total:  4h 21m | Avg:  1h 05m | Max:  1h 07m | Hits:   0%/3132  
  🟩 NVHPC              Pass: 100%/2   | Total:  2h 27m | Avg:  1h 13m | Max:  1h 14m
🟩 gpu
  🟩 h100               Pass: 100%/2   | Total: 20m 39s | Avg: 10m 19s | Max: 16m 10s
  🟩 v100               Pass: 100%/45  | Total: 12h 57m | Avg: 17m 16s | Max:  1h 14m | Hits:   0%/3132  
🟩 jobs
  🟩 Build              Pass: 100%/40  | Total: 10h 45m | Avg: 16m 08s | Max:  1h 14m | Hits:   0%/3132  
  🟩 DeviceLaunch       Pass: 100%/1   | Total: 18m 54s | Avg: 18m 54s | Max: 18m 54s
  🟩 GraphCapture       Pass: 100%/1   | Total: 14m 52s | Avg: 14m 52s | Max: 14m 52s
  🟩 HostLaunch         Pass: 100%/3   | Total:  1h 03m | Avg: 21m 01s | Max: 26m 48s
  🟩 TestGPU            Pass: 100%/2   | Total: 55m 34s | Avg: 27m 47s | Max: 34m 15s
🟩 sm
  🟩 90                 Pass: 100%/2   | Total: 20m 39s | Avg: 10m 19s | Max: 16m 10s
  🟩 90a                Pass: 100%/1   | Total:  4m 14s | Avg:  4m 14s | Max:  4m 14s
🟩 std
  🟩 11                 Pass: 100%/5   | Total: 23m 51s | Avg:  4m 46s | Max:  6m 19s
  🟩 14                 Pass: 100%/4   | Total:  1h 22m | Avg: 20m 33s | Max:  1h 06m | Hits:   0%/783   
  🟩 17                 Pass: 100%/12  | Total:  5h 07m | Avg: 25m 39s | Max:  1h 12m | Hits:   0%/1566  
  🟩 20                 Pass: 100%/26  | Total:  6h 23m | Avg: 14m 45s | Max:  1h 14m | Hits:   0%/783

  • 🟩 thrust: Pass: 100%/46 | Total: 12h 08m | Avg: 15m 49s | Max: 1h 16m | Hits: 20%/9260 

    🟩 cmake_options
  🟩 -DTHRUST_DISPATCH_TYPE=Force32bit Pass: 100%/2   | Total: 16m 59s | Avg:  8m 29s | Max: 11m 02s
🟩 cpu
  🟩 amd64              Pass: 100%/44  | Total: 11h 58m | Avg: 16m 19s | Max:  1h 16m | Hits:  20%/9260  
  🟩 arm64              Pass: 100%/2   | Total:  9m 46s | Avg:  4m 53s | Max:  5m 18s
🟩 ctk
  🟩 11.1               Pass: 100%/7   | Total:  1h 34m | Avg: 13m 32s | Max:  1h 08m | Hits:   0%/1852  
  🟩 12.5               Pass: 100%/2   | Total:  2h 24m | Avg:  1h 12m | Max:  1h 16m
  🟩 12.6               Pass: 100%/37  | Total:  8h 08m | Avg: 13m 12s | Max:  1h 15m | Hits:  25%/7408  
🟩 cudacxx
  🟩 ClangCUDA18        Pass: 100%/2   | Total:  9m 42s | Avg:  4m 51s | Max:  4m 54s
  🟩 nvcc11.1           Pass: 100%/7   | Total:  1h 34m | Avg: 13m 32s | Max:  1h 08m | Hits:   0%/1852  
  🟩 nvcc12.5           Pass: 100%/2   | Total:  2h 24m | Avg:  1h 12m | Max:  1h 16m
  🟩 nvcc12.6           Pass: 100%/35  | Total:  7h 58m | Avg: 13m 41s | Max:  1h 15m | Hits:  25%/7408  
🟩 cudacxx_family
  🟩 ClangCUDA          Pass: 100%/2   | Total:  9m 42s | Avg:  4m 51s | Max:  4m 54s
  🟩 nvcc               Pass: 100%/44  | Total: 11h 58m | Avg: 16m 19s | Max:  1h 16m | Hits:  20%/9260  
🟩 cxx
  🟩 Clang9             Pass: 100%/4   | Total: 21m 17s | Avg:  5m 19s | Max:  6m 08s
  🟩 Clang10            Pass: 100%/1   | Total:  6m 17s | Avg:  6m 17s | Max:  6m 17s
  🟩 Clang11            Pass: 100%/1   | Total:  4m 56s | Avg:  4m 56s | Max:  4m 56s
  🟩 Clang12            Pass: 100%/1   | Total:  5m 20s | Avg:  5m 20s | Max:  5m 20s
  🟩 Clang13            Pass: 100%/1   | Total:  4m 53s | Avg:  4m 53s | Max:  4m 53s
  🟩 Clang14            Pass: 100%/1   | Total:  5m 36s | Avg:  5m 36s | Max:  5m 36s
  🟩 Clang15            Pass: 100%/1   | Total:  5m 27s | Avg:  5m 27s | Max:  5m 27s
  🟩 Clang16            Pass: 100%/1   | Total:  5m 26s | Avg:  5m 26s | Max:  5m 26s
  🟩 Clang17            Pass: 100%/1   | Total:  5m 38s | Avg:  5m 38s | Max:  5m 38s
  🟩 Clang18            Pass: 100%/7   | Total: 47m 59s | Avg:  6m 51s | Max: 15m 35s
  🟩 GCC6               Pass: 100%/2   | Total:  8m 41s | Avg:  4m 20s | Max:  4m 41s
  🟩 GCC7               Pass: 100%/2   | Total: 10m 27s | Avg:  5m 13s | Max:  5m 42s
  🟩 GCC8               Pass: 100%/1   | Total:  5m 42s | Avg:  5m 42s | Max:  5m 42s
  🟩 GCC9               Pass: 100%/3   | Total: 14m 23s | Avg:  4m 47s | Max:  6m 10s
  🟩 GCC10              Pass: 100%/1   | Total:  5m 12s | Avg:  5m 12s | Max:  5m 12s
  🟩 GCC11              Pass: 100%/1   | Total:  5m 41s | Avg:  5m 41s | Max:  5m 41s
  🟩 GCC12              Pass: 100%/1   | Total:  6m 18s | Avg:  6m 18s | Max:  6m 18s
  🟩 GCC13              Pass: 100%/8   | Total:  1h 00m | Avg:  7m 35s | Max: 12m 52s
  🟩 Intel2023.2.0      Pass: 100%/1   | Total: 50m 36s | Avg: 50m 36s | Max: 50m 36s
  🟩 MSVC14.16          Pass: 100%/1   | Total:  1h 08m | Avg:  1h 08m | Max:  1h 08m | Hits:   0%/1852  
  🟩 MSVC14.29          Pass: 100%/1   | Total:  1h 08m | Avg:  1h 08m | Max:  1h 08m | Hits:   0%/1852  
  🟩 MSVC14.39          Pass: 100%/3   | Total:  2h 46m | Avg: 55m 23s | Max:  1h 15m | Hits:  33%/5556  
  🟩 NVHPC24.7          Pass: 100%/2   | Total:  2h 24m | Avg:  1h 12m | Max:  1h 16m
🟩 cxx_family
  🟩 Clang              Pass: 100%/19  | Total:  1h 52m | Avg:  5m 56s | Max: 15m 35s
  🟩 GCC                Pass: 100%/19  | Total:  1h 57m | Avg:  6m 09s | Max: 12m 52s
  🟩 Intel              Pass: 100%/1   | Total: 50m 36s | Avg: 50m 36s | Max: 50m 36s
  🟩 MSVC               Pass: 100%/5   | Total:  5h 02m | Avg:  1h 00m | Max:  1h 15m | Hits:  20%/9260  
  🟩 NVHPC              Pass: 100%/2   | Total:  2h 24m | Avg:  1h 12m | Max:  1h 16m
🟩 gpu
  🟩 v100               Pass: 100%/46  | Total: 12h 08m | Avg: 15m 49s | Max:  1h 16m | Hits:  20%/9260  
🟩 jobs
  🟩 Build              Pass: 100%/40  | Total: 10h 50m | Avg: 16m 15s | Max:  1h 16m | Hits:   0%/7408  
  🟩 TestCPU            Pass: 100%/3   | Total: 38m 17s | Avg: 12m 45s | Max: 22m 39s | Hits:  99%/1852  
  🟩 TestGPU            Pass: 100%/3   | Total: 39m 29s | Avg: 13m 09s | Max: 15m 35s
🟩 sm
  🟩 90a                Pass: 100%/1   | Total:  4m 49s | Avg:  4m 49s | Max:  4m 49s
🟩 std
  🟩 11                 Pass: 100%/5   | Total: 22m 39s | Avg:  4m 31s | Max:  5m 50s
  🟩 14                 Pass: 100%/4   | Total:  1h 25m | Avg: 21m 16s | Max:  1h 08m | Hits:   0%/1852  
  🟩 17                 Pass: 100%/12  | Total:  5h 07m | Avg: 25m 39s | Max:  1h 16m | Hits:   0%/3704  
  🟩 20                 Pass: 100%/23  | Total:  4h 55m | Avg: 12m 50s | Max:  1h 15m | Hits:  49%/3704

  • 🟩 cudax: Pass: 100%/26 | Total: 2h 18m | Avg: 5m 20s | Max: 16m 50s | Hits: 1%/312 

    🟩 cpu
  🟩 amd64              Pass: 100%/22  | Total:  2h 07m | Avg:  5m 49s | Max: 16m 50s | Hits:   1%/312   
  🟩 arm64              Pass: 100%/4   | Total: 10m 44s | Avg:  2m 41s | Max:  2m 56s
🟩 ctk
  🟩 12.0               Pass: 100%/3   | Total: 17m 13s | Avg:  5m 44s | Max: 11m 23s | Hits:   1%/156   
  🟩 12.5               Pass: 100%/2   | Total: 20m 08s | Avg: 10m 04s | Max: 10m 33s
  🟩 12.6               Pass: 100%/21  | Total:  1h 41m | Avg:  4m 49s | Max: 16m 50s | Hits:   1%/156   
🟩 cudacxx
  🟩 nvcc12.0           Pass: 100%/3   | Total: 17m 13s | Avg:  5m 44s | Max: 11m 23s | Hits:   1%/156   
  🟩 nvcc12.5           Pass: 100%/2   | Total: 20m 08s | Avg: 10m 04s | Max: 10m 33s
  🟩 nvcc12.6           Pass: 100%/21  | Total:  1h 41m | Avg:  4m 49s | Max: 16m 50s | Hits:   1%/156   
🟩 cudacxx_family
  🟩 nvcc               Pass: 100%/26  | Total:  2h 18m | Avg:  5m 20s | Max: 16m 50s | Hits:   1%/312   
🟩 cxx
  🟩 Clang9             Pass: 100%/1   | Total:  3m 09s | Avg:  3m 09s | Max:  3m 09s
  🟩 Clang10            Pass: 100%/1   | Total:  3m 31s | Avg:  3m 31s | Max:  3m 31s
  🟩 Clang11            Pass: 100%/1   | Total:  3m 02s | Avg:  3m 02s | Max:  3m 02s
  🟩 Clang12            Pass: 100%/1   | Total:  3m 08s | Avg:  3m 08s | Max:  3m 08s
  🟩 Clang13            Pass: 100%/1   | Total:  3m 22s | Avg:  3m 22s | Max:  3m 22s
  🟩 Clang14            Pass: 100%/1   | Total:  3m 05s | Avg:  3m 05s | Max:  3m 05s
  🟩 Clang15            Pass: 100%/1   | Total:  3m 16s | Avg:  3m 16s | Max:  3m 16s
  🟩 Clang16            Pass: 100%/1   | Total:  3m 03s | Avg:  3m 03s | Max:  3m 03s
  🟩 Clang17            Pass: 100%/1   | Total:  3m 28s | Avg:  3m 28s | Max:  3m 28s
  🟩 Clang18            Pass: 100%/4   | Total: 25m 33s | Avg:  6m 23s | Max: 16m 46s
  🟩 GCC9               Pass: 100%/1   | Total:  2m 41s | Avg:  2m 41s | Max:  2m 41s
  🟩 GCC10              Pass: 100%/1   | Total:  3m 12s | Avg:  3m 12s | Max:  3m 12s
  🟩 GCC11              Pass: 100%/1   | Total:  2m 56s | Avg:  2m 56s | Max:  2m 56s
  🟩 GCC12              Pass: 100%/2   | Total: 20m 15s | Avg: 10m 07s | Max: 16m 50s
  🟩 GCC13              Pass: 100%/4   | Total: 11m 02s | Avg:  2m 45s | Max:  2m 55s
  🟩 MSVC14.36          Pass: 100%/1   | Total: 11m 23s | Avg: 11m 23s | Max: 11m 23s | Hits:   1%/156   
  🟩 MSVC14.39          Pass: 100%/1   | Total: 12m 28s | Avg: 12m 28s | Max: 12m 28s | Hits:   1%/156   
  🟩 NVHPC24.7          Pass: 100%/2   | Total: 20m 08s | Avg: 10m 04s | Max: 10m 33s
🟩 cxx_family
  🟩 Clang              Pass: 100%/13  | Total: 54m 37s | Avg:  4m 12s | Max: 16m 46s
  🟩 GCC                Pass: 100%/9   | Total: 40m 06s | Avg:  4m 27s | Max: 16m 50s
  🟩 MSVC               Pass: 100%/2   | Total: 23m 51s | Avg: 11m 55s | Max: 12m 28s | Hits:   1%/312   
  🟩 NVHPC              Pass: 100%/2   | Total: 20m 08s | Avg: 10m 04s | Max: 10m 33s
🟩 gpu
  🟩 v100               Pass: 100%/26  | Total:  2h 18m | Avg:  5m 20s | Max: 16m 50s | Hits:   1%/312   
🟩 jobs
  🟩 Build              Pass: 100%/24  | Total:  1h 45m | Avg:  4m 22s | Max: 12m 28s | Hits:   1%/312   
  🟩 Test               Pass: 100%/2   | Total: 33m 36s | Avg: 16m 48s | Max: 16m 50s
🟩 sm
  🟩 90                 Pass: 100%/1   | Total:  2m 55s | Avg:  2m 55s | Max:  2m 55s
  🟩 90a                Pass: 100%/1   | Total:  2m 54s | Avg:  2m 54s | Max:  2m 54s
🟩 std
  🟩 17                 Pass: 100%/6   | Total: 23m 31s | Avg:  3m 55s | Max:  9m 35s
  🟩 20                 Pass: 100%/20  | Total:  1h 55m | Avg:  5m 45s | Max: 16m 50s | Hits:   1%/312

  • 🟩 cccl_c_parallel: Pass: 100%/2 | Total: 9m 26s | Avg: 4m 43s | Max: 7m 28s

     
    🟩 cpu
  🟩 amd64              Pass: 100%/2   | Total:  9m 26s | Avg:  4m 43s | Max:  7m 28s
🟩 ctk
  🟩 12.6               Pass: 100%/2   | Total:  9m 26s | Avg:  4m 43s | Max:  7m 28s
🟩 cudacxx
  🟩 nvcc12.6           Pass: 100%/2   | Total:  9m 26s | Avg:  4m 43s | Max:  7m 28s
🟩 cudacxx_family
  🟩 nvcc               Pass: 100%/2   | Total:  9m 26s | Avg:  4m 43s | Max:  7m 28s
🟩 cxx
  🟩 GCC13              Pass: 100%/2   | Total:  9m 26s | Avg:  4m 43s | Max:  7m 28s
🟩 cxx_family
  🟩 GCC                Pass: 100%/2   | Total:  9m 26s | Avg:  4m 43s | Max:  7m 28s
🟩 gpu
  🟩 v100               Pass: 100%/2   | Total:  9m 26s | Avg:  4m 43s | Max:  7m 28s
🟩 jobs
  🟩 Build              Pass: 100%/1   | Total:  1m 58s | Avg:  1m 58s | Max:  1m 58s
  🟩 Test               Pass: 100%/1   | Total:  7m 28s | Avg:  7m 28s | Max:  7m 28s

  • 🟩 python: Pass: 100%/1 | Total: 27m 42s | Avg: 27m 42s | Max: 27m 42s

     
    🟩 cpu
  🟩 amd64              Pass: 100%/1   | Total: 27m 42s | Avg: 27m 42s | Max: 27m 42s
🟩 ctk
  🟩 12.6               Pass: 100%/1   | Total: 27m 42s | Avg: 27m 42s | Max: 27m 42s
🟩 cudacxx
  🟩 nvcc12.6           Pass: 100%/1   | Total: 27m 42s | Avg: 27m 42s | Max: 27m 42s
🟩 cudacxx_family
  🟩 nvcc               Pass: 100%/1   | Total: 27m 42s | Avg: 27m 42s | Max: 27m 42s
🟩 cxx
  🟩 GCC13              Pass: 100%/1   | Total: 27m 42s | Avg: 27m 42s | Max: 27m 42s
🟩 cxx_family
  🟩 GCC                Pass: 100%/1   | Total: 27m 42s | Avg: 27m 42s | Max: 27m 42s
🟩 gpu
  🟩 v100               Pass: 100%/1   | Total: 27m 42s | Avg: 27m 42s | Max: 27m 42s
🟩 jobs
  🟩 Test               Pass: 100%/1   | Total: 27m 42s | Avg: 27m 42s | Max: 27m 42s

👃 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: 170)
# Runner
125 linux-amd64-cpu16
19 linux-amd64-gpu-v100-latest-1
15 windows-amd64-cpu16
10 linux-arm64-cpu16
1 linux-amd64-gpu-h100-latest-1-testing

@fbusato fbusato merged commit 2bb31a6 into NVIDIA:main Jan 7, 2025
186 checks passed
@fbusato fbusato deleted the architecture-os-macros branch January 15, 2025 01:22
davebayer pushed a commit to davebayer/cccl that referenced this pull request Jan 18, 2025
@fbusato @davebayer
Architecture and OS identification macros (NVIDIA#3237)
0e41565
davebayer added a commit to davebayer/cccl that referenced this pull request Jan 20, 2025
@davebayer
add builtins
bf99eb3 
implement `add_sat`

split `signed`/`unsigned` implementation, improve implementation for MSVC

improve device `add_sat` implementation

add `add_sat` test

improve generic `add_sat` implementation for signed types

implement `sub_sat`

allow more msvc intrinsics on x86

add op tests

partially implement `mul_sat`

implement `div_sat` and `saturate_cast`

add `saturate_cast` test

simplify `div_sat` test

Deprectate C++11 and C++14 for libcu++ (#3173)

* Deprectate C++11 and C++14 for libcu++

Co-authored-by: Bernhard Manfred Gruber <[email protected]>

Implement `abs` and `div` from `cstdlib` (#3153)

* implement integer abs functions
* improve tests, fix constexpr support
* just use the our implementation
* implement `cuda::std::div`
* prefer host's `div_t` like types
* provide `cuda::std::abs` overloads for floats
* allow fp abs for NVRTC
* silence msvc's warning about conversion from floating point to integral

Fix missing radix sort policies (#3174)

Fixes NVBug 5009941

Introduces new `DeviceReduce::Arg{Min,Max}` interface with two output iterators (#3148)

* introduces new arg{min,max} interface with two output iterators

* adds fp inf tests

* fixes docs

* improves code example

* fixes exec space specifier

* trying to fix deprecation warning for more compilers

* inlines unzip operator

* trying to fix deprecation warning for nvhpc

* integrates supression fixes in diagnostics

* pre-ctk 11.5 deprecation suppression

* fixes icc

* fix for pre-ctk11.5

* cleans up deprecation suppression

* cleanup

Extend tuning documentation (#3179)

Add codespell pre-commit hook, fix typos in CCCL (#3168)

* Add codespell pre-commit hook
* Automatic changes from codespell.
* Manual changes.

Fix parameter space for TUNE_LOAD in scan benchmark (#3176)

fix various old compiler checks (#3178)

implement C++26 `std::projected` (#3175)

Fix pre-commit config for codespell and remaining typos (#3182)

Massive cleanup of our config (#3155)

Fix UB in atomics with automatic storage (#2586)

* Adds specialized local cuda atomics and injects them into most atomics paths.

Co-authored-by: Georgy Evtushenko <[email protected]>
Co-authored-by: gonzalobg <[email protected]>

* Allow CUDA 12.2 to keep perf, this addresses earlier comments in #478

* Remove extraneous double brackets in unformatted code.

* Merge unsafe atomic logic into `__cuda_is_local`.

* Use `const_cast` for type conversions in cuda_local.h

* Fix build issues from interface changes

* Fix missing __nanosleep on sm70-

* Guard __isLocal from NVHPC

* Use PTX instead of running nothing from NVHPC

* fixup /s/nvrtc/nvhpc

* Fixup missing CUDA ifdef surrounding device code

* Fix codegen

* Bypass some sort of compiler bug on GCC7

* Apply suggestions from code review

* Use unsafe automatic storage atomics in codegen tests

---------

Co-authored-by: Georgy Evtushenko <[email protected]>
Co-authored-by: gonzalobg <[email protected]>
Co-authored-by: Michael Schellenberger Costa <[email protected]>

Refactor the source code layout for `cuda.parallel` (#3177)

* Refactor the source layout for cuda.parallel

* Add copyright

* Address review feedback

* Don't import anything into `experimental` namespace

* fix import

---------

Co-authored-by: Ashwin Srinath <[email protected]>

new type-erased memory resources (#2824)

s/_LIBCUDACXX_DECLSPEC_EMPTY_BASES/_CCCL_DECLSPEC_EMPTY_BASES/g (#3186)

Document address stability of `thrust::transform` (#3181)

* Do not document _LIBCUDACXX_MARK_CAN_COPY_ARGUMENTS
* Reformat and fix UnaryFunction/BinaryFunction in transform docs
* Mention transform can use proclaim_copyable_arguments
* Document cuda::proclaims_copyable_arguments better
* Deprecate depending on transform functor argument addresses

Fixes: #3053

turn off cuda version check for clangd (#3194)

[STF] jacobi example based on parallel_for (#3187)

* Simple jacobi example with parallel for and reductions

* clang-format

* remove useless capture list

fixes pre-nv_diag suppression issues (#3189)

Prefer c2h::type_name over c2h::demangle (#3195)

Fix memcpy_async* tests (#3197)

* memcpy_async_tx: Fix bug in test

Two bugs, one of which occurs in practice:

1. There is a missing fence.proxy.space::global between the writes to
   global memory and the memcpy_async_tx. (Occurs in practice)

2. The end of the kernel should be fenced with `__syncthreads()`,
   because the barrier is invalidated in the destructor. If other
   threads are still waiting on it, there will be UB. (Has not yet
   manifested itself)

* cp_async_bulk_tensor: Pre-emptively fence more in test

Add type annotations and mypy checks for `cuda.parallel`  (#3180)

* Refactor the source layout for cuda.parallel

* Add initial type annotations

* Update pre-commit config

* More typing

* Fix bad merge

* Fix TYPE_CHECKING and numpy annotations

* typing bindings.py correctly

* Address review feedback

---------

Co-authored-by: Ashwin Srinath <[email protected]>

Fix rendering of cuda.parallel docs (#3192)

* Fix pre-commit config for codespell and remaining typos

* Fix rendering of docs for cuda.parallel

---------

Co-authored-by: Ashwin Srinath <[email protected]>

Enable PDL for DeviceMergeSortBlockSortKernel (#3199)

The kernel already contains a call to _CCCL_PDL_GRID_DEPENDENCY_SYNC.
This commit enables PDL when launching the kernel.

Adds support for large `num_items` to `DeviceReduce::{ArgMin,ArgMax}` (#2647)

* adds benchmarks for reduce::arg{min,max}

* preliminary streaming arg-extremum reduction

* fixes implicit conversion

* uses streaming dispatch class

* changes arg benches to use new streaming reduce

* streaming arg-extrema reduction

* fixes style

* fixes compilation failures

* cleanups

* adds rst style comments

* declare vars const and use clamp

* consolidates argmin argmax benchmarks

* fixes thrust usage

* drops offset type in arg-extrema benchmarks

* fixes clang cuda

* exec space macros

* switch to signed global offset type for slightly better perf

* clarifies documentation

* applies minor benchmark style changes from review comments

* fixes interface documentation and comments

* list-init accumulating output op

* improves style, comments, and tests

* cleans up aggregate init

* renames dispatch class usage in benchmarks

* fixes merge conflicts

* addresses review comments

* addresses review comments

* fixes assertion

* removes superseded implementation

* changes large problem tests to use new interface

* removes obsolete tests for deprecated interface

Fixes for Python 3.7 docs environment (#3206)

Co-authored-by: Ashwin Srinath <[email protected]>

Adds support for large number of items to `DeviceTransform` (#3172)

* moves large problem test helper to common file

* adds support for large num items to device transform

* adds tests for large number of items to device interface

* fixes format

* addresses review comments

cp_async_bulk: Fix test (#3198)

* memcpy_async_tx: Fix bug in test

Two bugs, one of which occurs in practice:

1. There is a missing fence.proxy.space::global between the writes to
   global memory and the memcpy_async_tx. (Occurs in practice)

2. The end of the kernel should be fenced with `__syncthreads()`,
   because the barrier is invalidated in the destructor. If other
   threads are still waiting on it, there will be UB. (Has not yet
   manifested itself)

* cp_async_bulk_tensor: Pre-emptively fence more in test

* cp_async_bulk: Fix test

The global memory pointer could be misaligned.

cudax fixes for msvc 14.41 (#3200)

avoid instantiating class templates in `is_same` implementation when possible (#3203)

Fix: make launchers a CUB detail; make kernel source functions hidden. (#3209)

* Fix: make launchers a CUB detail; make kernel source functions hidden.

* [pre-commit.ci] auto code formatting

* Address review comments, fix which macro gets fixed.

help the ranges concepts recognize standard contiguous iterators in c++14/17 (#3202)

unify macros and cmake options that control the suppression of deprecation warnings (#3220)

* unify macros and cmake options that control the suppression of deprecation warnings

* suppress nvcc warning #186 in thrust header tests

* suppress c++ dialect deprecation warnings in libcudacxx header tests

Fx thread-reduce performance regression (#3225)

cuda.parallel: In-memory caching of build objects (#3216)

* Define __eq__ and __hash__ for Iterators

* Define cache_with_key utility and use it to cache Reduce objects

* Add tests for caching Reduce objects

* Tighten up types

* Updates to support 3.7

* Address review feedback

* Introduce IteratorKind to hold iterator type information

* Use the .kind to generate an abi_name

* Remove __eq__ and __hash__ methods from IteratorBase

* Move helper function

* Formatting

* Don't unpack tuple in cache key

---------

Co-authored-by: Ashwin Srinath <[email protected]>

Just enough ranges for c++14 `span` (#3211)

use generalized concepts portability macros to simplify the `range` concept (#3217)

fixes some issues in the concepts portability macros and then re-implements the `range` concept with `_CCCL_REQUIRES_EXPR`

Use Ruff to sort imports (#3230)

* Update pyproject.tomls for import sorting

* Update files after running pre-commit

* Move ruff config to pyproject.toml

---------

Co-authored-by: Ashwin Srinath <[email protected]>

fix tuning_scan sm90 config issue (#3236)

Co-authored-by: Shijie Chen <[email protected]>

[STF] Logical token (#3196)

* Split the implementation of the void interface into the definition of the interface, and its implementations on streams and graphs.

* Add missing files

* Check if a task implementation can match a prototype where the void_interface arguments are ignored

* Implement ctx.abstract_logical_data() which relies on a void data interface

* Illustrate how to use abstract handles in local contexts

* Introduce an is_void_interface() virtual method in the data interface to potentially optimize some stages

* Small improvements in the examples

* Do not try to allocate or move void data

* Do not use I as a variable

* fix linkage error

* rename abtract_logical_data into logical_token

* Document logical token

* fix spelling error

* fix sphinx error

* reflect name changes

* use meaningful variable names

* simplify logical_token implementation because writeback is already disabled

* add a unit test for token elision

* implement token elision in host_launch

* Remove unused type

* Implement helpers to check if a function can be invoked from a tuple, or from a tuple where we removed tokens

* Much simpler is_tuple_invocable_with_filtered implementation

* Fix buggy test

* Factorize code

* Document that we can ignore tokens for task and host_launch

* Documentation for logical data freeze

Fix ReduceByKey tuning (#3240)

Fix RLE tuning (#3239)

cuda.parallel: Forbid non-contiguous arrays as inputs (or outputs) (#3233)

* Forbid non-contiguous arrays as inputs (or outputs)

* Implement a more robust way to check for contiguity

* Don't bother if cublas unavailable

* Fix how we check for zero-element arrays

* sort imports

---------

Co-authored-by: Ashwin Srinath <[email protected]>

expands support for more offset types in segmented benchmark (#3231)

Add escape hatches to the cmake configuration of the header tests so that we can tests deprecated compilers / dialects (#3253)

* Add escape hatches to the cmake configuration of the header tests so that we can tests deprecated compilers / dialects

* Do not add option twice

ptx: Add add_instruction.py (#3190)

This file helps create the necessary structure for new PTX instructions.

Co-authored-by: Allard Hendriksen <[email protected]>

Bump main to 2.9.0. (#3247)

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>

Drop cub::Mutex (#3251)

Fixes: #3250

Remove legacy macros from CUB util_arch.cuh (#3257)

Fixes: #3256

Remove thrust::[unary|binary]_traits (#3260)

Fixes: #3259

Architecture and OS identification macros (#3237)

Bump main to 3.0.0. (#3265)

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>

Drop thrust not1 and not2 (#3264)

Fixes: #3263

CCCL Internal macro documentation (#3238)

Deprecate GridBarrier and GridBarrierLifetime (#3258)

Fixes: #1389

Require at least gcc7 (#3268)

Fixes: #3267

Drop thrust::[unary|binary]_function (#3274)

Fixes: #3273

Drop ICC from CI (#3277)

[STF] Corruption of the capture list of an extended lambda with a parallel_for construct on a host execution place (#3270)

* Add a test to reproduce a bug observed with parallel_for on a host place

* clang-format

* use _CCCL_ASSERT

* Attempt to debug

* do not create a tuple with a universal reference that is out of scope when we use it, use an lvalue instead

* fix lambda expression

* clang-format

Enable thrust::identity test for non-MSVC (#3281)

This seems to be an oversight when the test was added

Co-authored-by: Michael Schellenberger Costa <[email protected]>

Enable PDL in triple chevron launch (#3282)

It seems PDL was disabled by accident when _THRUST_HAS_PDL was renamed
to _CCCL_HAS_PDL during the review introducing the feature.

Disambiguate line continuations and macro continuations in <nv/target> (#3244)

Drop VS 2017 from CI (#3287)

Fixes: #3286

Drop ICC support in code (#3279)

* Drop ICC from code

Fixes: #3278

Co-authored-by: Michael Schellenberger Costa <[email protected]>

Make CUB NVRTC commandline arguments come from a cmake template (#3292)

Propose the same components (thrust, cub, libc++, cudax, cuda.parallel,...) in the bug report template than in the feature request template (#3295)

Use process isolation instead of default hyper-v for Windows. (#3294)

Try improving build times by using process isolation instead of hyper-v

Co-authored-by: Michael Schellenberger Costa <[email protected]>

[pre-commit.ci] pre-commit autoupdate (#3248)

* [pre-commit.ci] pre-commit autoupdate

updates:
- [github.com/pre-commit/mirrors-clang-format: v18.1.8 → v19.1.6](https://github.com/pre-commit/mirrors-clang-format/compare/v18.1.8...v19.1.6)
- [github.com/astral-sh/ruff-pre-commit: v0.8.3 → v0.8.6](https://github.com/astral-sh/ruff-pre-commit/compare/v0.8.3...v0.8.6)
- [github.com/pre-commit/mirrors-mypy: v1.13.0 → v1.14.1](https://github.com/pre-commit/mirrors-mypy/compare/v1.13.0...v1.14.1)

Co-authored-by: Michael Schellenberger Costa <[email protected]>

Drop Thrust legacy arch macros (#3298)

Which were disabled and could be re-enabled using THRUST_PROVIDE_LEGACY_ARCH_MACROS

Drop Thrust's compiler_fence.h (#3300)

Drop CTK 11.x from CI (#3275)

* Add cuda12.0-gcc7 devcontainer
* Move MSVC2017 jobs to CTK 12.6
Those is the only combination where rapidsai has devcontainers
* Add /Zc:__cplusplus for the libcudacxx tests
* Only add excape hatch for affected CTKs
* Workaround missing cudaLaunchKernelEx on MSVC
cudaLaunchKernelEx requires C++11, but unfortunately <cuda_runtime.h> checks this using the __cplusplus macro, which is reported wrongly for MSVC. CTK 12.3 fixed this by additionally detecting _MSV_VER. As a workaround, we provide our own copy of cudaLaunchKernelEx when it is not available from the CTK.
* Workaround nvcc+MSVC issue
* Regenerate devcontainers

Fixes: #3249

Co-authored-by: Michael Schellenberger Costa <[email protected]>

Drop CUB's util_compiler.cuh (#3302)

All contained macros were deprecated

Update packman and repo_docs versions (#3293)

Co-authored-by: Ashwin Srinath <[email protected]>

Drop Thrust's deprecated compiler macros (#3301)

Drop CUB_RUNTIME_ENABLED and __THRUST_HAS_CUDART__ (#3305)

Adds support for large number of items to `DevicePartition::If` with the `ThreeWayPartition` overload (#2506)

* adds support for large number of items to three-way partition

* adapts interface to use choose_signed_offset_t

* integrates applicable feedback from device-select pr

* changes behavior for empty problems

* unifies grid constant macro

* fixes kernel template specialization mismatch

* integrates _CCCL_GRID_CONSTANT changes

* resolve merge conflicts

* fixes checks in test

* fixes test verification

* improves tests

* makes few improvements to streaming dispatch

* improves code comment on test

* fixes unrelated compiler error

* minor style improvements

Refactor scan tunings (#3262)

Require C++17 for compiling Thrust and CUB (#3255)

* Issue an unsuppressable warning when compiling with < C++17
* Remove C++11/14 presets
* Remove CCCL_IGNORE_DEPRECATED_CPP_DIALECT from headers
* Remove [CUB|THRUST|TCT]_IGNORE_DEPRECATED_CPP_[11|14]
* Remove CUB_ENABLE_DIALECT_CPP[11|14]
* Update CI runs
* Remove C++11/14 CI runs for CUB and Thrust
* Raise compiler minimum versions for C++17
* Update ReadMe
* Drop Thrust's cpp14_required.h
* Add escape hatch for C++17 removal

Fixes: #3252

Implement `views::empty` (#3254)

* Disable pair conversion of subrange with clang in C++17

* Fix namespace views

* Implement `views::empty`

This implements `std::ranges::views::empty`, see https://en.cppreference.com/w/cpp/ranges/empty_view

Refactor `limits` and `climits` (#3221)

* implement builtins for huge val, nan and nans

* change `INFINITY` and `NAN` implementation for NVRTC

cuda.parallel: Add documentation for the current iterators along with examples and tests (#3311)

* Add tests demonstrating usage of different iterators

* Update documentation of reduce_into by merging import code snippet with the rest of the example

* Add documentation for current iterators

* Run pre-commit checks and update accordingly

* Fix comments to refer to the proper lines in the code snippets in the docs

Drop clang<14 from CI, update devcontainers. (#3309)

Co-authored-by: Bernhard Manfred Gruber <[email protected]>

[STF] Cleanup task dependencies object constructors (#3291)

* Define tag types for access modes

* - Rework how we build task_dep objects based on access mode tags
- pack_state is now responsible for using a const_cast for read only data

* Greatly simplify the previous attempt : do not define new types, but use integral constants based on the enums

* It seems the const_cast was not necessarily so we can simplify it and not even do some dispatch based on access modes

Disable test with a gcc-14 regression (#3297)

Deprecate Thrust's cpp_compatibility.h macros (#3299)

Remove dropped function objects from docs (#3319)

Document `NV_TARGET` macros (#3313)

[STF] Define ctx.pick_stream() which was missing for the unified context (#3326)

* Define ctx.pick_stream() which was missing for the unified context

* clang-format

Deprecate cub::IterateThreadStore (#3337)

Drop CUB's BinaryFlip operator (#3332)

Deprecate cub::Swap (#3333)

Clarify transform output can overlap input (#3323)

Drop CUB APIs with a debug_synchronous parameter (#3330)

Fixes: #3329

Drop CUB's util_compiler.cuh for real (#3340)

PR #3302 planned to drop the file, but only dropped its content. This
was an oversight. So let's drop the entire file.

Drop cub::ValueCache (#3346)

limits offset types for merge sort (#3328)

Drop CDPv1 (#3344)

Fixes: #3341

Drop thrust::void_t (#3362)

Use cuda::std::addressof in Thrust (#3363)

Fix all_of documentation for empty ranges (#3358)

all_of always returns true on an empty range.

[STF] Do not keep track of dangling events in a CUDA graph backend (#3327)

* Unlike the CUDA stream backend, nodes in a CUDA graph are necessarily done when
the CUDA graph completes. Therefore keeping track of "dangling events" is a
waste of time and resources.

* replace can_ignore_dangling_events by track_dangling_events which leads to more readable code

* When not storing the dangling events, we must still perform the deinit operations that were producing these events !

Extract scan kernels into NVRTC-compilable header (#3334)

* Extract scan kernels into NVRTC-compilable header

* Update cub/cub/device/dispatch/dispatch_scan.cuh

Co-authored-by: Georgii Evtushenko <[email protected]>

---------

Co-authored-by: Ashwin Srinath <[email protected]>
Co-authored-by: Georgii Evtushenko <[email protected]>

Drop deprecated aliases in Thrust functional (#3272)

Fixes: #3271

Drop cub::DivideAndRoundUp (#3347)

Use cuda::std::min/max in Thrust (#3364)

Implement `cuda::std::numeric_limits` for `__half` and `__nv_bfloat16` (#3361)

* implement `cuda::std::numeric_limits` for `__half` and `__nv_bfloat16`

Cleanup util_arch (#2773)

Deprecate thrust::null_type (#3367)

Deprecate cub::DeviceSpmv (#3320)

Fixes: #896

Improves `DeviceSegmentedSort` test run time for large number of items and segments (#3246)

* fixes segment offset generation

* switches to analytical verification

* switches to analytical verification for pairs

* fixes spelling

* adds tests for large number of segments

* fixes narrowing conversion in tests

* addresses review comments

* fixes includes

Compile basic infra test with C++17 (#3377)

Adds support for large number of items and large number of segments to `DeviceSegmentedSort` (#3308)

* fixes segment offset generation

* switches to analytical verification

* switches to analytical verification for pairs

* addresses review comments

* introduces segment offset type

* adds tests for large number of segments

* adds support for large number of segments

* drops segment offset type

* fixes thrust namespace

* removes about-to-be-deprecated cub iterators

* no exec specifier on defaulted ctor

* fixes gcc7 linker error

* uses local_segment_index_t throughout

* determine offset type based on type returned by segment iterator begin/end iterators

* minor style improvements

Exit with error when RAPIDS CI fails. (#3385)

cuda.parallel: Support structured types as algorithm inputs (#3218)

* Introduce gpu_struct decorator and typing

* Enable `reduce` to accept arrays of structs as inputs

* Add test for reducing arrays-of-struct

* Update documentation

* Use a numpy array rather than ctypes object

* Change zeros -> empty for output array and temp storage

* Add a TODO for typing GpuStruct

* Documentation udpates

* Remove test_reduce_struct_type from test_reduce.py

* Revert to `to_cccl_value()` accepting ndarray + GpuStruct

* Bump copyrights

---------

Co-authored-by: Ashwin Srinath <[email protected]>

Deprecate thrust::async (#3324)

Fixes: #100

Review/Deprecate CUB `util.ptx` for CCCL 2.x (#3342)

Fix broken `_CCCL_BUILTIN_ASSUME` macro (#3314)

* add compiler-specific path
* fix device code path
* add _CCC_ASSUME

Deprecate thrust::numeric_limits (#3366)

Replace `typedef` with `using` in libcu++ (#3368)

Deprecate thrust::optional (#3307)

Fixes: #3306

Upgrade to Catch2 3.8  (#3310)

Fixes: #1724

refactor `<cuda/std/cstdint>` (#3325)

Co-authored-by: Bernhard Manfred Gruber <[email protected]>

Update CODEOWNERS (#3331)

* Update CODEOWNERS

* Update CODEOWNERS

* Update CODEOWNERS

* [pre-commit.ci] auto code formatting

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

Fix sign-compare warning (#3408)

Implement more cmath functions to be usable on host and device (#3382)

* Implement more cmath functions to be usable on host and device

* Implement math roots functions

* Implement exponential functions

Redefine and deprecate thrust::remove_cvref (#3394)

* Redefine and deprecate thrust::remove_cvref

Co-authored-by: Michael Schellenberger Costa <[email protected]>

Fix assert definition for NVHPC due to constexpr issues (#3418)

NVHPC cannot decide at compile time where the code would run so _CCCL_ASSERT within a constexpr function breaks it.

Fix this by always using the host definition which should also work on device.

Fixes #3411

Extend CUB reduce benchmarks (#3401)

* Rename max.cu to custom.cu, since it uses a custom operator
* Extend types covered my min.cu to all fundamental types
* Add some notes on how to collect tuning parameters

Fixes: #3283

Update upload-pages-artifact to v3 (#3423)

* Update upload-pages-artifact to v3

* Empty commit

---------

Co-authored-by: Ashwin Srinath <[email protected]>

Replace and deprecate thrust::cuda_cub::terminate (#3421)

`std::linalg` accessors and `transposed_layout` (#2962)

Add round up/down to multiple (#3234)

[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 https://github.com/NVIDIA/cccl/pull/3201#discussion_r1894035917)

Command used: ci/update_version.sh 2 8 0

* Modernize pyproject.toml, setup.py

Trigger for this change:

* https://github.com/NVIDIA/cccl/pull/3201#discussion_r1894043178

* https://github.com/NVIDIA/cccl/pull/3201#discussion_r1894044996

* Install CCCL headers under cuda.cccl.include

Trigger for this change:

* https://github.com/NVIDIA/cccl/pull/3201#discussion_r1894048562

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 61637d608da06fcf6851ef6197f88b5e7dbc3bbe.

* 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 ea33a218ed77a075156cd1b332047202adb25aa2.

Error message: https://github.com/NVIDIA/cccl/pull/3201#issuecomment-2594012971

* 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 ec206fd8b50a6a293e00a5825b579e125010b13d.

* Implement suggestion by @shwina (https://github.com/NVIDIA/cccl/pull/3201#pullrequestreview-2556918460)

* Address feedback by @leofang

---------

Co-authored-by: Bernhard Manfred Gruber <[email protected]>

cuda.parallel: Add optional stream argument to reduce_into() (#3348)

* Add optional stream argument to reduce_into()

* Add tests to check for reduce_into() stream behavior

* Move protocol related utils to separate file and rework __cuda_stream__ error messages

* Fix synchronization issue in stream test and add one more invalid stream test case

* Rename cuda stream validation function after removing leading underscore

* Unpack values from __cuda_stream__ instead of indexing

* Fix linting errors

* Handle TypeError when unpacking invalid __cuda_stream__ return

* Use stream to allocate cupy memory in new stream test

Upgrade to actions/deploy-pages@v4 (from v2), as suggested by @leofang (#3434)

Deprecate `cub::{min, max}` and replace internal uses with those from libcu++ (#3419)

* Deprecate `cub::{min, max}` and replace internal uses with those from libcu++

Fixes #3404

move to c++17, finalize device optimization

fix msvc compilation, update tests

Deprectate C++11 and C++14 for libcu++ (#3173)

* Deprectate C++11 and C++14 for libcu++

Co-authored-by: Bernhard Manfred Gruber <[email protected]>

Implement `abs` and `div` from `cstdlib` (#3153)

* implement integer abs functions
* improve tests, fix constexpr support
* just use the our implementation
* implement `cuda::std::div`
* prefer host's `div_t` like types
* provide `cuda::std::abs` overloads for floats
* allow fp abs for NVRTC
* silence msvc's warning about conversion from floating point to integral

Fix missing radix sort policies (#3174)

Fixes NVBug 5009941

Introduces new `DeviceReduce::Arg{Min,Max}` interface with two output iterators (#3148)

* introduces new arg{min,max} interface with two output iterators

* adds fp inf tests

* fixes docs

* improves code example

* fixes exec space specifier

* trying to fix deprecation warning for more compilers

* inlines unzip operator

* trying to fix deprecation warning for nvhpc

* integrates supression fixes in diagnostics

* pre-ctk 11.5 deprecation suppression

* fixes icc

* fix for pre-ctk11.5

* cleans up deprecation suppression

* cleanup

Extend tuning documentation (#3179)

Add codespell pre-commit hook, fix typos in CCCL (#3168)

* Add codespell pre-commit hook
* Automatic changes from codespell.
* Manual changes.

Fix parameter space for TUNE_LOAD in scan benchmark (#3176)

fix various old compiler checks (#3178)

implement C++26 `std::projected` (#3175)

Fix pre-commit config for codespell and remaining typos (#3182)

Massive cleanup of our config (#3155)

Fix UB in atomics with automatic storage (#2586)

* Adds specialized local cuda atomics and injects them into most atomics paths.

Co-authored-by: Georgy Evtushenko <[email protected]>
Co-authored-by: gonzalobg <[email protected]>

* Allow CUDA 12.2 to keep perf, this addresses earlier comments in #478

* Remove extraneous double brackets in unformatted code.

* Merge unsafe atomic logic into `__cuda_is_local`.

* Use `const_cast` for type conversions in cuda_local.h

* Fix build issues from interface changes

* Fix missing __nanosleep on sm70-

* Guard __isLocal from NVHPC

* Use PTX instead of running nothing from NVHPC

* fixup /s/nvrtc/nvhpc

* Fixup missing CUDA ifdef surrounding device code

* Fix codegen

* Bypass some sort of compiler bug on GCC7

* Apply suggestions from code review

* Use unsafe automatic storage atomics in codegen tests

---------

Co-authored-by: Georgy Evtushenko <[email protected]>
Co-authored-by: gonzalobg <[email protected]>
Co-authored-by: Michael Schellenberger Costa <[email protected]>

Refactor the source code layout for `cuda.parallel` (#3177)

* Refactor the source layout for cuda.parallel

* Add copyright

* Address review feedback

* Don't import anything into `experimental` namespace

* fix import

---------

Co-authored-by: Ashwin Srinath <[email protected]>

new type-erased memory resources (#2824)

s/_LIBCUDACXX_DECLSPEC_EMPTY_BASES/_CCCL_DECLSPEC_EMPTY_BASES/g (#3186)

Document address stability of `thrust::transform` (#3181)

* Do not document _LIBCUDACXX_MARK_CAN_COPY_ARGUMENTS
* Reformat and fix UnaryFunction/BinaryFunction in transform docs
* Mention transform can use proclaim_copyable_arguments
* Document cuda::proclaims_copyable_arguments better
* Deprecate depending on transform functor argument addresses

Fixes: #3053

turn off cuda version check for clangd (#3194)

[STF] jacobi example based on parallel_for (#3187)

* Simple jacobi example with parallel for and reductions

* clang-format

* remove useless capture list

fixes pre-nv_diag suppression issues (#3189)

Prefer c2h::type_name over c2h::demangle (#3195)

Fix memcpy_async* tests (#3197)

* memcpy_async_tx: Fix bug in test

Two bugs, one of which occurs in practice:

1. There is a missing fence.proxy.space::global between the writes to
   global memory and the memcpy_async_tx. (Occurs in practice)

2. The end of the kernel should be fenced with `__syncthreads()`,
   because the barrier is invalidated in the destructor. If other
   threads are still waiting on it, there will be UB. (Has not yet
   manifested itself)

* cp_async_bulk_tensor: Pre-emptively fence more in test

Add type annotations and mypy checks for `cuda.parallel`  (#3180)

* Refactor the source layout for cuda.parallel

* Add initial type annotations

* Update pre-commit config

* More typing

* Fix bad merge

* Fix TYPE_CHECKING and numpy annotations

* typing bindings.py correctly

* Address review feedback

---------

Co-authored-by: Ashwin Srinath <[email protected]>

Fix rendering of cuda.parallel docs (#3192)

* Fix pre-commit config for codespell and remaining typos

* Fix rendering of docs for cuda.parallel

---------

Co-authored-by: Ashwin Srinath <[email protected]>

Enable PDL for DeviceMergeSortBlockSortKernel (#3199)

The kernel already contains a call to _CCCL_PDL_GRID_DEPENDENCY_SYNC.
This commit enables PDL when launching the kernel.

Adds support for large `num_items` to `DeviceReduce::{ArgMin,ArgMax}` (#2647)

* adds benchmarks for reduce::arg{min,max}

* preliminary streaming arg-extremum reduction

* fixes implicit conversion

* uses streaming dispatch class

* changes arg benches to use new streaming reduce

* streaming arg-extrema reduction

* fixes style

* fixes compilation failures

* cleanups

* adds rst style comments

* declare vars const and use clamp

* consolidates argmin argmax benchmarks

* fixes thrust usage

* drops offset type in arg-extrema benchmarks

* fixes clang cuda

* exec space macros

* switch to signed global offset type for slightly better perf

* clarifies documentation

* applies minor benchmark style changes from review comments

* fixes interface documentation and comments

* list-init accumulating output op

* improves style, comments, and tests

* cleans up aggregate init

* renames dispatch class usage in benchmarks

* fixes merge conflicts

* addresses review comments

* addresses review comments

* fixes assertion

* removes superseded implementation

* changes large problem tests to use new interface

* removes obsolete tests for deprecated interface

Fixes for Python 3.7 docs environment (#3206)

Co-authored-by: Ashwin Srinath <[email protected]>

Adds support for large number of items to `DeviceTransform` (#3172)

* moves large problem test helper to common file

* adds support for large num items to device transform

* adds tests for large number of items to device interface

* fixes format

* addresses review comments

cp_async_bulk: Fix test (#3198)

* memcpy_async_tx: Fix bug in test

Two bugs, one of which occurs in practice:

1. There is a missing fence.proxy.space::global between the writes to
   global memory and the memcpy_async_tx. (Occurs in practice)

2. The end of the kernel should be fenced with `__syncthreads()`,
   because the barrier is invalidated in the destructor. If other
   threads are still waiting on it, there will be UB. (Has not yet
   manifested itself)

* cp_async_bulk_tensor: Pre-emptively fence more in test

* cp_async_bulk: Fix test

The global memory pointer could be misaligned.

cudax fixes for msvc 14.41 (#3200)

avoid instantiating class templates in `is_same` implementation when possible (#3203)

Fix: make launchers a CUB detail; make kernel source functions hidden. (#3209)

* Fix: make launchers a CUB detail; make kernel source functions hidden.

* [pre-commit.ci] auto code formatting

* Address review comments, fix which macro gets fixed.

help the ranges concepts recognize standard contiguous iterators in c++14/17 (#3202)

unify macros and cmake options that control the suppression of deprecation warnings (#3220)

* unify macros and cmake options that control the suppression of deprecation warnings

* suppress nvcc warning #186 in thrust header tests

* suppress c++ dialect deprecation warnings in libcudacxx header tests

Fx thread-reduce performance regression (#3225)

cuda.parallel: In-memory caching of build objects (#3216)

* Define __eq__ and __hash__ for Iterators

* Define cache_with_key utility and use it to cache Reduce objects

* Add tests for caching Reduce objects

* Tighten up types

* Updates to support 3.7

* Address review feedback

* Introduce IteratorKind to hold iterator type information

* Use the .kind to generate an abi_name

* Remove __eq__ and __hash__ methods from IteratorBase

* Move helper function

* Formatting

* Don't unpack tuple in cache key

---------

Co-authored-by: Ashwin Srinath <[email protected]>

Just enough ranges for c++14 `span` (#3211)

use generalized concepts portability macros to simplify the `range` concept (#3217)

fixes some issues in the concepts portability macros and then re-implements the `range` concept with `_CCCL_REQUIRES_EXPR`

Use Ruff to sort imports (#3230)

* Update pyproject.tomls for import sorting

* Update files after running pre-commit

* Move ruff config to pyproject.toml

---------

Co-authored-by: Ashwin Srinath <[email protected]>

fix tuning_scan sm90 config issue (#3236)

Co-authored-by: Shijie Chen <[email protected]>

[STF] Logical token (#3196)

* Split the implementation of the void interface into the definition of the interface, and its implementations on streams and graphs.

* Add missing files

* Check if a task implementation can match a prototype where the void_interface arguments are ignored

* Implement ctx.abstract_logical_data() which relies on a void data interface

* Illustrate how to use abstract handles in local contexts

* Introduce an is_void_interface() virtual method in the data interface to potentially optimize some stages

* Small improvements in the examples

* Do not try to allocate or move void data

* Do not use I as a variable

* fix linkage error

* rename abtract_logical_data into logical_token

* Document logical token

* fix spelling error

* fix sphinx error

* reflect name changes

* use meaningful variable names

* simplify logical_token implementation because writeback is already disabled

* add a unit test for token elision

* implement token elision in host_launch

* Remove unused type

* Implement helpers to check if a function can be invoked from a tuple, or from a tuple where we removed tokens

* Much simpler is_tuple_invocable_with_filtered implementation

* Fix buggy test

* Factorize code

* Document that we can ignore tokens for task and host_launch

* Documentation for logical data freeze

Fix ReduceByKey tuning (#3240)

Fix RLE tuning (#3239)

cuda.parallel: Forbid non-contiguous arrays as inputs (or outputs) (#3233)

* Forbid non-contiguous arrays as inputs (or outputs)

* Implement a more robust way to check for contiguity

* Don't bother if cublas unavailable

* Fix how we check for zero-element arrays

* sort imports

---------

Co-authored-by: Ashwin Srinath <[email protected]>

expands support for more offset types in segmented benchmark (#3231)

Add escape hatches to the cmake configuration of the header tests so that we can tests deprecated compilers / dialects (#3253)

* Add escape hatches to the cmake configuration of the header tests so that we can tests deprecated compilers / dialects

* Do not add option twice

ptx: Add add_instruction.py (#3190)

This file helps create the necessary structure for new PTX instructions.

Co-authored-by: Allard Hendriksen <[email protected]>

Bump main to 2.9.0. (#3247)

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>

Drop cub::Mutex (#3251)

Fixes: #3250

Remove legacy macros from CUB util_arch.cuh (#3257)

Fixes: #3256

Remove thrust::[unary|binary]_traits (#3260)

Fixes: #3259

Architecture and OS identification macros (#3237)

Bump main to 3.0.0. (#3265)

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>

Drop thrust not1 and not2 (#3264)

Fixes: #3263

CCCL Internal macro documentation (#3238)

Deprecate GridBarrier and GridBarrierLifetime (#3258)

Fixes: #1389

Require at least gcc7 (#3268)

Fixes: #3267

Drop thrust::[unary|binary]_function (#3274)

Fixes: #3273

Drop ICC from CI (#3277)

[STF] Corruption of the capture list of an extended lambda with a parallel_for construct on a host execution place (#3270)

* Add a test to reproduce a bug observed with parallel_for on a host place

* clang-format

* use _CCCL_ASSERT

* Attempt to debug

* do not create a tuple with a universal reference that is out of scope when we use it, use an lvalue instead

* fix lambda expression

* clang-format

Enable thrust::identity test for non-MSVC (#3281)

This seems to be an oversight when the test was added

Co-authored-by: Michael Schellenberger Costa <[email protected]>

Enable PDL in triple chevron launch (#3282)

It seems PDL was disabled by accident when _THRUST_HAS_PDL was renamed
to _CCCL_HAS_PDL during the review introducing the feature.

Disambiguate line continuations and macro continuations in <nv/target> (#3244)

Drop VS 2017 from CI (#3287)

Fixes: #3286

Drop ICC support in code (#3279)

* Drop ICC from code

Fixes: #3278

Co-authored-by: Michael Schellenberger Costa <[email protected]>

Make CUB NVRTC commandline arguments come from a cmake template (#3292)

Propose the same components (thrust, cub, libc++, cudax, cuda.parallel,...) in the bug report template than in the feature request template (#3295)

Use process isolation instead of default hyper-v for Windows. (#3294)

Try improving build times by using process isolation instead of hyper-v

Co-authored-by: Michael Schellenberger Costa <[email protected]>

[pre-commit.ci] pre-commit autoupdate (#3248)

* [pre-commit.ci] pre-commit autoupdate

updates:
- [github.com/pre-commit/mirrors-clang-format: v18.1.8 → v19.1.6](https://github.com/pre-commit/mirrors-clang-format/compare/v18.1.8...v19.1.6)
- [github.com/astral-sh/ruff-pre-commit: v0.8.3 → v0.8.6](https://github.com/astral-sh/ruff-pre-commit/compare/v0.8.3...v0.8.6)
- [github.com/pre-commit/mirrors-mypy: v1.13.0 → v1.14.1](https://github.com/pre-commit/mirrors-mypy/compare/v1.13.0...v1.14.1)

Co-authored-by: Michael Schellenberger Costa <[email protected]>

Drop Thrust legacy arch macros (#3298)

Which were disabled and could be re-enabled using THRUST_PROVIDE_LEGACY_ARCH_MACROS

Drop Thrust's compiler_fence.h (#3300)

Drop CTK 11.x from CI (#3275)

* Add cuda12.0-gcc7 devcontainer
* Move MSVC2017 jobs to CTK 12.6
Those is the only combination where rapidsai has devcontainers
* Add /Zc:__cplusplus for the libcudacxx tests
* Only add excape hatch for affected CTKs
* Workaround missing cudaLaunchKernelEx on MSVC
cudaLaunchKernelEx requires C++11, but unfortunately <cuda_runtime.h> checks this using the __cplusplus macro, which is reported wrongly for MSVC. CTK 12.3 fixed this by additionally detecting _MSV_VER. As a workaround, we provide our own copy of cudaLaunchKernelEx when it is not available from the CTK.
* Workaround nvcc+MSVC issue
* Regenerate devcontainers

Fixes: #3249

Co-authored-by: Michael Schellenberger Costa <[email protected]>

Update packman and repo_docs versions (#3293)

Co-authored-by: Ashwin Srinath <[email protected]>

Drop Thrust's deprecated compiler macros (#3301)

Drop CUB_RUNTIME_ENABLED and __THRUST_HAS_CUDART__ (#3305)

Adds support for large number of items to `DevicePartition::If` with the `ThreeWayPartition` overload (#2506)

* adds support for large number of items to three-way partition

* adapts interface to use choose_signed_offset_t

* integrates applicable feedback from device-select pr

* changes behavior for empty problems

* unifies grid constant macro

* fixes kernel template specialization mismatch

* integrates _CCCL_GRID_CONSTANT changes

* resolve merge conflicts

* fixes checks in test

* fixes test verification

* improves tests

* makes few improvements to streaming dispatch

* improves code comment on test

* fixes unrelated compiler error

* minor style improvements

Refactor scan tunings (#3262)

Require C++17 for compiling Thrust and CUB (#3255)

* Issue an unsuppressable warning when compiling with < C++17
* Remove C++11/14 presets
* Remove CCCL_IGNORE_DEPRECATED_CPP_DIALECT from headers
* Remove [CUB|THRUST|TCT]_IGNORE_DEPRECATED_CPP_[11|14]
* Remove CUB_ENABLE_DIALECT_CPP[11|14]
* Update CI runs
* Remove C++11/14 CI runs for CUB and Thrust
* Raise compiler minimum versions for C++17
* Update ReadMe
* Drop Thrust's cpp14_required.h
* Add escape hatch for C++17 removal

Fixes: #3252

Implement `views::empty` (#3254)

* Disable pair conversion of subrange with clang in C++17

* Fix namespace views

* Implement `views::empty`

This implements `std::ranges::views::empty`, see https://en.cppreference.com/w/cpp/ranges/empty_view

Refactor `limits` and `climits` (#3221)

* implement builtins for huge val, nan and nans

* change `INFINITY` and `NAN` implementation for NVRTC

cuda.parallel: Add documentation for the current iterators along with examples and tests (#3311)

* Add tests demonstrating usage of different iterators

* Update documentation of reduce_into by merging import code snippet with the rest of the example

* Add documentation for current iterators

* Run pre-commit checks and update accordingly

* Fix comments to refer to the proper lines in the code snippets in the docs

Drop clang<14 from CI, update devcontainers. (#3309)

Co-authored-by: Bernhard Manfred Gruber <[email protected]>

[STF] Cleanup task dependencies object constructors (#3291)

* Define tag types for access modes

* - Rework how we build task_dep objects based on access mode tags
- pack_state is now responsible for using a const_cast for read only data

* Greatly simplify the previous attempt : do not define new types, but use integral constants based on the enums

* It seems the const_cast was not necessarily so we can simplify it and not even do some dispatch based on access modes

Disable test with a gcc-14 regression (#3297)

Deprecate Thrust's cpp_compatibility.h macros (#3299)

Remove dropped function objects from docs (#3319)

Document `NV_TARGET` macros (#3313)

[STF] Define ctx.pick_stream() which was missing for the unified context (#3326)

* Define ctx.pick_stream() which was missing for the unified context

* clang-format

Deprecate cub::IterateThreadStore (#3337)

Drop CUB's BinaryFlip operator (#3332)

Deprecate cub::Swap (#3333)

Clarify transform output can overlap input (#3323)

Drop CUB APIs with a debug_synchronous parameter (#3330)

Fixes: #3329

Drop CUB's util_compiler.cuh for real (#3340)

PR #3302 planned to drop the file, but only dropped its content. This
was an oversight. So let's drop the entire file.

Drop cub::ValueCache (#3346)

limits offset types for merge sort (#3328)

Drop CDPv1 (#3344)

Fixes: #3341

Drop thrust::void_t (#3362)

Use cuda::std::addressof in Thrust (#3363)

Fix all_of documentation for empty ranges (#3358)

all_of always returns true on an empty range.

[STF] Do not keep track of dangling events in a CUDA graph backend (#3327)

* Unlike the CUDA stream backend, nodes in a CUDA graph are necessarily done when
the CUDA graph completes. Therefore keeping track of "dangling events" is a
waste of time and resources.

* replace can_ignore_dangling_events by track_dangling_events which leads to more readable code

* When not storing the dangling events, we must still perform the deinit operations that were producing these events !

Extract scan kernels into NVRTC-compilable header (#3334)

* Extract scan kernels into NVRTC-compilable header

* Update cub/cub/device/dispatch/dispatch_scan.cuh

Co-authored-by: Georgii Evtushenko <[email protected]>

---------

Co-authored-by: Ashwin Srinath <[email protected]>
Co-authored-by: Georgii Evtushenko <[email protected]>

Drop deprecated aliases in Thrust functional (#3272)

Fixes: #3271

Drop cub::DivideAndRoundUp (#3347)

Use cuda::std::min/max in Thrust (#3364)

Implement `cuda::std::numeric_limits` for `__half` and `__nv_bfloat16` (#3361)

* implement `cuda::std::numeric_limits` for `__half` and `__nv_bfloat16`

Cleanup util_arch (#2773)

Deprecate thrust::null_type (#3367)

Deprecate cub::DeviceSpmv (#3320)

Fixes: #896

Improves `DeviceSegmentedSort` test run time for large number of items and segments (#3246)

* fixes segment offset generation

* switches to analytical verification

* switches to analytical verification for pairs

* fixes spelling

* adds tests for large number of segments

* fixes narrowing conversion in tests

* addresses review comments

* fixes includes

Compile basic infra test with C++17 (#3377)

Adds support for large number of items and large number of segments to `DeviceSegmentedSort` (#3308)

* fixes segment offset generation

* switches to analytical verification

* switches to analytical verification for pairs

* addresses review comments

* introduces segment offset type

* adds tests for large number of segments

* adds support for large number of segments

* drops segment offset type

* fixes thrust namespace

* removes about-to-be-deprecated cub iterators

* no exec specifier on defaulted ctor

* fixes gcc7 linker error

* uses local_segment_index_t throughout

* determine offset type based on type returned by segment iterator begin/end iterators

* minor style improvements

Exit with error when RAPIDS CI fails. (#3385)

cuda.parallel: Support structured types as algorithm inputs (#3218)

* Introduce gpu_struct decorator and typing

* Enable `reduce` to accept arrays of structs as inputs

* Add test for reducing arrays-of-struct

* Update documentation

* Use a numpy array rather than ctypes object

* Change zeros -> empty for output array and temp storage

* Add a TODO for typing GpuStruct

* Documentation udpates

* Remove test_reduce_struct_type from test_reduce.py

* Revert to `to_cccl_value()` accepting ndarray + GpuStruct

* Bump copyrights

---------

Co-authored-by: Ashwin Srinath <[email protected]>

Deprecate thrust::async (#3324)

Fixes: #100

Review/Deprecate CUB `util.ptx` for CCCL 2.x (#3342)

Fix broken `_CCCL_BUILTIN_ASSUME` macro (#3314)

* add compiler-specific path
* fix device code path
* add _CCC_ASSUME

Deprecate thrust::numeric_limits (#3366)

Replace `typedef` with `using` in libcu++ (#3368)

Deprecate thrust::optional (#3307)

Fixes: #3306

Upgrade to Catch2 3.8  (#3310)

Fixes: #1724

refactor `<cuda/std/cstdint>` (#3325)

Co-authored-by: Bernhard Manfred Gruber <[email protected]>

Update CODEOWNERS (#3331)

* Update CODEOWNERS

* Update CODEOWNERS

* Update CODEOWNERS

* [pre-commit.ci] auto code formatting

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

Fix sign-compare warning (#3408)

Implement more cmath functions to be usable on host and device (#3382)

* Implement more cmath functions to be usable on host and device

* Implement math roots functions

* Implement exponential functions

Redefine and deprecate thrust::remove_cvref (#3394)

* Redefine and deprecate thrust::remove_cvref

Co-authored-by: Michael Schellenberger Costa <[email protected]>

Fix assert definition for NVHPC due to constexpr issues (#3418)

NVHPC cannot decide at compile time where the code would run so _CCCL_ASSERT within a constexpr function breaks it.

Fix this by always using the host definition which should also work on device.

Fixes #3411

Extend CUB reduce benchmarks (#3401)

* Rename max.cu to custom.cu, since it uses a custom operator
* Extend types covered my min.cu to all fundamental types
* Add some notes on how to collect tuning parameters

Fixes: #3283

Update upload-pages-artifact to v3 (#3423)

* Update upload-pages-artifact to v3

* Empty commit

---------

Co-authored-by: Ashwin Srinath <[email protected]>

Replace and deprecate thrust::cuda_cub::terminate (#3421)

`std::linalg` accessors and `transposed_layout` (#2962)

Add round up/down to multiple (#3234)

[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 https://github.com/NVIDIA/cccl/pull/3201#discussion_r1894035917)

Command used: ci/update_version.sh 2 8 0

* Modernize pyproject.toml, setup.py

Trigger for this change:

* https://github.com/NVIDIA/cccl/pull/3201#discussion_r1894043178

* https://github.com/NVIDIA/cccl/pull/3201#discussion_r1894044996

* Install CCCL headers under cuda.cccl.include

Trigger for this change:

* https://github.com/NVIDIA/cccl/pull/3201#discussion_r1894048562

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 61637d608da06fcf6851ef6197f88b5e7dbc3bbe.

* 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 ea33a218ed77a075156cd1b332047202adb25aa2.

Error message: https://github.com/NVIDIA/cccl/pull/3201#issuecomment-2594012971

* 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 ec206fd8b50a6a293e00a5825b579e125010b13d.

* Implement suggestion by @shwina (https://github.com/NVIDIA/cccl/pull/3201#pullrequestreview-2556918460)

* Address feedback by @leofang

---------

Co-authored-by: Bernhard Manfred Gruber <[email protected]>

cuda.parallel: Add optional stream argument to reduce_into() (#3348)

* Add optional stream argument to reduce_into()

* Add tests to check for reduce_into() stream behavior

* Move protocol related utils to separate file and rework __cuda_stream__ error messages

* Fix synchronization issue in stream test and add one more invalid stream test case

* Rename cuda stream validation function after removing leading underscore

* Unpack values from __cuda_stream__ instead of indexing

* Fix linting errors

* Handle TypeError when unpacking invalid __cuda_stream__ return

* Use stream to allocate cupy memory in new stream test

Upgrade to actions/deploy-pages@v4 (from v2), as suggested by @leofang (#3434)

Deprecate `cub::{min, max}` and replace internal uses with those from libcu++ (#3419)

* Deprecate `cub::{min, max}` and replace internal uses with those from libcu++

Fixes #3404

Fix CI issues (#3443)

update docs

fix review

restrict allowed types

replace constexpr implementations with generic

optimize `__is_arithmetic_integral`
@fbusato fbusato mentioned this pull request Jan 27, 2025
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@davebayer davebayer davebayer left review comments

@pciolkosz pciolkosz pciolkosz approved these changes

@miscco miscco miscco approved these changes

@bernhardmgruber bernhardmgruber bernhardmgruber approved these changes

@ericniebler ericniebler Awaiting requested review from ericniebler ericniebler is a code owner automatically assigned from NVIDIA/cccl-libcudacxx-codeowners

@gonidelis gonidelis Awaiting requested review from gonidelis gonidelis was automatically assigned from NVIDIA/cccl-codeowners

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