cuda.parallel: invoke pytest directly rather than via `python -m pytest` #3523

shwina · 2025-01-24T14:02:32Z

Description

The problem

Recent cuda.parallel tests on CI have been failing:

Click to see what the failure looks like

_________________________________ ERROR collecting tests/test_reduce.py _________________________________
ImportError while importing test module '/home/coder/cccl/python/cuda_parallel/tests/test_reduce.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.10/importlib/__init__.py:126: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
tests/test_reduce.py:13: in <module>
    import cuda.parallel.experimental.algorithms as algorithms
cuda/parallel/experimental/algorithms/__init__.py:6: in <module>
    from .reduce import reduce_into as reduce_into
cuda/parallel/experimental/algorithms/reduce.py:17: in <module>
    from .._bindings import get_bindings, get_paths
cuda/parallel/experimental/_bindings.py:10: in <module>
    from cuda.cccl import get_include_paths  # type: ignore[import-not-found]
E   ModuleNotFoundError: No module named 'cuda.cccl'

Why is this happening?

In test_python.sh, we invoke pytest as follows:

run_command "🚀  Pytest ${module}" python -m pytest -v ./tests

Note that the working directory for the invocation above is cuda_parallel directory, which contains a subdirectory named cuda.

According to the pytest docs, invoking pytest in this way adds the working directory (cuda_parallel) to the sys.path. This means that imports of subpackages like cuda.cccl will be attempted from the cuda_parallel directory, rather than the site-packages (which is where cuda.cccl lives). This is the problem - cuda_parallel/cuda doesn't contain the cccl subpackage.

How to fix it?

There are a few possible solutions here:

Invoke pytest directly rather than via python -m pytest. This explicitly does not add the current working directory to the Python search path.
Invoke pytest (in whatever way) from a directory other than cuda_parallel - e.g., cd .. && python -m pytest cuda_parallel/tests. This way imports of cuda.cccl will still be resolved from the site-packages directory.
Reorganize to src layout rather than flat layout.. This way the cuda_parallel directory will not contain a cuda subdirectory.

I felt (1) was the simplest solution. I believe that cuda.core also needed to recently make a similar change.

FYI: @rwgk @leofang

Checklist

New or existing tests cover these changes.
The documentation is up to date with these changes.

leofang · 2025-01-24T14:06:21Z

Yeah in cuda-python we teach QA about the difference between pytest and python -m pytest:
https://github.com/NVIDIA/cuda-python/tree/main/cuda_bindings#python-unit-tests

rwgk

@shwina do you know what change led to the failure? When/why did it stop working? — But I think this is definitely a good change regardless.

shwina · 2025-01-24T19:16:27Z

@shwina do you know what change led to the failure? When/why did it stop working?

I tried to dig into this but I could find nothing significant that has changed. We're not picking up any new versions of our dependencies. I have no idea how we have not seen this before.

github-actions · 2025-01-24T22:57:24Z

🟨 CI finished in 1h 33m: Pass: 99%/157 | Total: 1d 11h | Avg: 13m 37s | Max: 53m 39s | Hits: 523%/23359

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  🟩 amd64              Pass: 100%/4   | Total: 19m 08s | Avg:  4m 47s | Max:  5m 04s
🟩 ctk
  🟩 12.0               Pass: 100%/2   | Total:  9m 03s | Avg:  4m 31s | Max:  4m 54s
  🟩 12.6               Pass: 100%/2   | Total: 10m 05s | Avg:  5m 02s | Max:  5m 04s
🟩 cudacxx
  🟩 nvcc12.0           Pass: 100%/2   | Total:  9m 03s | Avg:  4m 31s | Max:  4m 54s
  🟩 nvcc12.6           Pass: 100%/2   | Total: 10m 05s | Avg:  5m 02s | Max:  5m 04s
🟩 cudacxx_family
  🟩 nvcc               Pass: 100%/4   | Total: 19m 08s | Avg:  4m 47s | Max:  5m 04s
🟩 cxx
  🟩 Clang14            Pass: 100%/1   | Total:  4m 54s | Avg:  4m 54s | Max:  4m 54s
  🟩 Clang18            Pass: 100%/1   | Total:  5m 04s | Avg:  5m 04s | Max:  5m 04s
  🟩 GCC12              Pass: 100%/1   | Total:  4m 09s | Avg:  4m 09s | Max:  4m 09s
  🟩 GCC13              Pass: 100%/1   | Total:  5m 01s | Avg:  5m 01s | Max:  5m 01s
🟩 cxx_family
  🟩 Clang              Pass: 100%/2   | Total:  9m 58s | Avg:  4m 59s | Max:  5m 04s
  🟩 GCC                Pass: 100%/2   | Total:  9m 10s | Avg:  4m 35s | Max:  5m 01s
🟩 gpu
  🟩 v100               Pass: 100%/4   | Total: 19m 08s | Avg:  4m 47s | Max:  5m 04s
🟩 jobs
  🟩 Infra              Pass: 100%/4   | Total: 19m 08s | Avg:  4m 47s | Max:  5m 04s

🟩 cccl_c_parallel: Pass: 100%/2 | Total: 11m 09s | Avg: 5m 34s | Max: 8m 48s

🟩 cpu
  🟩 amd64              Pass: 100%/2   | Total: 11m 09s | Avg:  5m 34s | Max:  8m 48s
🟩 ctk
  🟩 12.6               Pass: 100%/2   | Total: 11m 09s | Avg:  5m 34s | Max:  8m 48s
🟩 cudacxx
  🟩 nvcc12.6           Pass: 100%/2   | Total: 11m 09s | Avg:  5m 34s | Max:  8m 48s
🟩 cudacxx_family
  🟩 nvcc               Pass: 100%/2   | Total: 11m 09s | Avg:  5m 34s | Max:  8m 48s
🟩 cxx
  🟩 GCC13              Pass: 100%/2   | Total: 11m 09s | Avg:  5m 34s | Max:  8m 48s
🟩 cxx_family
  🟩 GCC                Pass: 100%/2   | Total: 11m 09s | Avg:  5m 34s | Max:  8m 48s
🟩 gpu
  🟩 v100               Pass: 100%/2   | Total: 11m 09s | Avg:  5m 34s | Max:  8m 48s
🟩 jobs
  🟩 Build              Pass: 100%/1   | Total:  2m 21s | Avg:  2m 21s | Max:  2m 21s
  🟩 Test               Pass: 100%/1   | Total:  8m 48s | Avg:  8m 48s | Max:  8m 48s

🟩 python: Pass: 100%/1 | Total: 53m 39s | Avg: 53m 39s | Max: 53m 39s

🟩 cpu
  🟩 amd64              Pass: 100%/1   | Total: 53m 39s | Avg: 53m 39s | Max: 53m 39s
🟩 ctk
  🟩 12.6               Pass: 100%/1   | Total: 53m 39s | Avg: 53m 39s | Max: 53m 39s
🟩 cudacxx
  🟩 nvcc12.6           Pass: 100%/1   | Total: 53m 39s | Avg: 53m 39s | Max: 53m 39s
🟩 cudacxx_family
  🟩 nvcc               Pass: 100%/1   | Total: 53m 39s | Avg: 53m 39s | Max: 53m 39s
🟩 cxx
  🟩 GCC13              Pass: 100%/1   | Total: 53m 39s | Avg: 53m 39s | Max: 53m 39s
🟩 cxx_family
  🟩 GCC                Pass: 100%/1   | Total: 53m 39s | Avg: 53m 39s | Max: 53m 39s
🟩 gpu
  🟩 v100               Pass: 100%/1   | Total: 53m 39s | Avg: 53m 39s | Max: 53m 39s
🟩 jobs
  🟩 Test               Pass: 100%/1   | Total: 53m 39s | Avg: 53m 39s | Max: 53m 39s

👃 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: 157)

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

github-actions · 2025-01-25T01:05:20Z

🟩 CI finished in 3h 41m: Pass: 100%/157 | Total: 1d 11h | Avg: 13m 43s | Max: 53m 39s | Hits: 523%/23359

🟩 cub: Pass: 100%/44 | Total: 17h 02m | Avg: 23m 13s | Max: 43m 58s | Hits: 539%/3552

🟩 cpu
  🟩 amd64              Pass: 100%/42  | Total: 16h 14m | Avg: 23m 11s | Max: 43m 58s | Hits: 539%/3552  
  🟩 arm64              Pass: 100%/2   | Total: 48m 07s | Avg: 24m 03s | Max: 43m 09s
🟩 ctk
  🟩 12.0               Pass: 100%/5   | Total:  2h 54m | Avg: 34m 54s | Max: 39m 48s | Hits: 539%/888   
  🟩 12.5               Pass: 100%/2   | Total:  1h 23m | Avg: 41m 31s | Max: 43m 58s
  🟩 12.6               Pass: 100%/37  | Total: 12h 44m | Avg: 20m 39s | Max: 43m 34s | Hits: 539%/2664  
🟩 cudacxx
  🟩 ClangCUDA18        Pass: 100%/2   | Total:  8m 53s | Avg:  4m 26s | Max:  4m 28s
  🟩 nvcc12.0           Pass: 100%/5   | Total:  2h 54m | Avg: 34m 54s | Max: 39m 48s | Hits: 539%/888   
  🟩 nvcc12.5           Pass: 100%/2   | Total:  1h 23m | Avg: 41m 31s | Max: 43m 58s
  🟩 nvcc12.6           Pass: 100%/35  | Total: 12h 35m | Avg: 21m 35s | Max: 43m 34s | Hits: 539%/2664  
🟩 cudacxx_family
  🟩 ClangCUDA          Pass: 100%/2   | Total:  8m 53s | Avg:  4m 26s | Max:  4m 28s
  🟩 nvcc               Pass: 100%/42  | Total: 16h 53m | Avg: 24m 07s | Max: 43m 58s | Hits: 539%/3552  
🟩 cxx
  🟩 Clang14            Pass: 100%/4   | Total:  1h 22m | Avg: 20m 41s | Max: 35m 59s
  🟩 Clang15            Pass: 100%/2   | Total: 11m 10s | Avg:  5m 35s | Max:  5m 50s
  🟩 Clang16            Pass: 100%/2   | Total: 11m 30s | Avg:  5m 45s | Max:  5m 52s
  🟩 Clang17            Pass: 100%/2   | Total: 11m 27s | Avg:  5m 43s | Max:  5m 57s
  🟩 Clang18            Pass: 100%/7   | Total:  1h 11m | Avg: 10m 13s | Max: 26m 46s
  🟩 GCC7               Pass: 100%/2   | Total:  1h 10m | Avg: 35m 22s | Max: 36m 17s
  🟩 GCC8               Pass: 100%/1   | Total: 38m 54s | Avg: 38m 54s | Max: 38m 54s
  🟩 GCC9               Pass: 100%/2   | Total:  1h 18m | Avg: 39m 11s | Max: 39m 48s
  🟩 GCC10              Pass: 100%/2   | Total:  1h 11m | Avg: 35m 34s | Max: 36m 10s
  🟩 GCC11              Pass: 100%/2   | Total: 39m 35s | Avg: 19m 47s | Max: 34m 02s
  🟩 GCC12              Pass: 100%/4   | Total:  1h 36m | Avg: 24m 14s | Max: 36m 57s
  🟩 GCC13              Pass: 100%/8   | Total:  3h 26m | Avg: 25m 52s | Max: 43m 09s
  🟩 MSVC14.29          Pass: 100%/2   | Total:  1h 04m | Avg: 32m 20s | Max: 38m 00s | Hits: 539%/1776  
  🟩 MSVC14.39          Pass: 100%/2   | Total:  1h 23m | Avg: 41m 41s | Max: 43m 34s | Hits: 539%/1776  
  🟩 NVHPC24.7          Pass: 100%/2   | Total:  1h 23m | Avg: 41m 31s | Max: 43m 58s
🟩 cxx_family
  🟩 Clang              Pass: 100%/17  | Total:  3h 08m | Avg: 11m 05s | Max: 35m 59s
  🟩 GCC                Pass: 100%/21  | Total: 10h 02m | Avg: 28m 41s | Max: 43m 09s
  🟩 MSVC               Pass: 100%/4   | Total:  2h 28m | Avg: 37m 00s | Max: 43m 34s | Hits: 539%/3552  
  🟩 NVHPC              Pass: 100%/2   | Total:  1h 23m | Avg: 41m 31s | Max: 43m 58s
🟩 gpu
  🟩 h100               Pass: 100%/2   | Total: 23m 20s | Avg: 11m 40s | Max: 19m 11s
  🟩 v100               Pass: 100%/42  | Total: 16h 38m | Avg: 23m 46s | Max: 43m 58s | Hits: 539%/3552  
🟩 jobs
  🟩 Build              Pass: 100%/37  | Total: 14h 30m | Avg: 23m 31s | Max: 43m 58s | Hits: 539%/3552  
  🟩 DeviceLaunch       Pass: 100%/1   | Total: 22m 41s | Avg: 22m 41s | Max: 22m 41s
  🟩 GraphCapture       Pass: 100%/1   | Total: 16m 54s | Avg: 16m 54s | Max: 16m 54s
  🟩 HostLaunch         Pass: 100%/3   | Total:  1h 07m | Avg: 22m 28s | Max: 26m 46s
  🟩 TestGPU            Pass: 100%/2   | Total: 44m 31s | Avg: 22m 15s | Max: 25m 06s
🟩 sm
  🟩 90                 Pass: 100%/2   | Total: 23m 20s | Avg: 11m 40s | Max: 19m 11s
  🟩 90a                Pass: 100%/1   | Total:  4m 40s | Avg:  4m 40s | Max:  4m 40s
🟩 std
  🟩 17                 Pass: 100%/20  | Total:  9h 10m | Avg: 27m 31s | Max: 43m 58s | Hits: 539%/2664  
  🟩 20                 Pass: 100%/24  | Total:  7h 51m | Avg: 19m 39s | Max: 43m 34s | Hits: 539%/888

🟩 libcudacxx: Pass: 100%/43 | Total: 8h 25m | Avg: 11m 45s | Max: 31m 29s | Hits: 688%/10065

🟩 cpu
  🟩 amd64              Pass: 100%/41  | Total:  8h 17m | Avg: 12m 08s | Max: 31m 29s | Hits: 688%/10065 
  🟩 arm64              Pass: 100%/2   | Total:  7m 20s | Avg:  3m 40s | Max:  3m 48s
🟩 ctk
  🟩 12.0               Pass: 100%/5   | Total: 51m 08s | Avg: 10m 13s | Max: 21m 56s | Hits: 689%/2471  
  🟩 12.5               Pass: 100%/2   | Total: 27m 35s | Avg: 13m 47s | Max: 18m 02s
  🟩 12.6               Pass: 100%/36  | Total:  7h 06m | Avg: 11m 50s | Max: 31m 29s | Hits: 688%/7594  
🟩 cudacxx
  🟩 ClangCUDA18        Pass: 100%/4   | Total:  1h 13m | Avg: 18m 19s | Max: 23m 35s
  🟩 nvcc12.0           Pass: 100%/5   | Total: 51m 08s | Avg: 10m 13s | Max: 21m 56s | Hits: 689%/2471  
  🟩 nvcc12.5           Pass: 100%/2   | Total: 27m 35s | Avg: 13m 47s | Max: 18m 02s
  🟩 nvcc12.6           Pass: 100%/32  | Total:  5h 53m | Avg: 11m 02s | Max: 31m 29s | Hits: 688%/7594  
🟩 cudacxx_family
  🟩 ClangCUDA          Pass: 100%/4   | Total:  1h 13m | Avg: 18m 19s | Max: 23m 35s
  🟩 nvcc               Pass: 100%/39  | Total:  7h 12m | Avg: 11m 04s | Max: 31m 29s | Hits: 688%/10065 
🟩 cxx
  🟩 Clang14            Pass: 100%/4   | Total: 30m 26s | Avg:  7m 36s | Max: 17m 48s
  🟩 Clang15            Pass: 100%/2   | Total:  8m 47s | Avg:  4m 23s | Max:  4m 37s
  🟩 Clang16            Pass: 100%/2   | Total: 45m 34s | Avg: 22m 47s | Max: 22m 53s
  🟩 Clang17            Pass: 100%/2   | Total: 25m 24s | Avg: 12m 42s | Max: 20m 54s
  🟩 Clang18            Pass: 100%/8   | Total:  1h 43m | Avg: 12m 52s | Max: 23m 35s
  🟩 GCC7               Pass: 100%/2   | Total:  7m 16s | Avg:  3m 38s | Max:  3m 41s
  🟩 GCC8               Pass: 100%/1   | Total:  3m 52s | Avg:  3m 52s | Max:  3m 52s
  🟩 GCC9               Pass: 100%/2   | Total: 20m 57s | Avg: 10m 28s | Max: 17m 09s
  🟩 GCC10              Pass: 100%/2   | Total:  7m 43s | Avg:  3m 51s | Max:  4m 00s
  🟩 GCC11              Pass: 100%/2   | Total:  7m 49s | Avg:  3m 54s | Max:  3m 57s
  🟩 GCC12              Pass: 100%/2   | Total: 21m 52s | Avg: 10m 56s | Max: 11m 14s
  🟩 GCC13              Pass: 100%/8   | Total:  1h 39m | Avg: 12m 23s | Max: 31m 29s
  🟩 MSVC14.29          Pass: 100%/2   | Total: 45m 23s | Avg: 22m 41s | Max: 23m 27s | Hits: 689%/4952  
  🟩 MSVC14.39          Pass: 100%/2   | Total: 50m 28s | Avg: 25m 14s | Max: 27m 41s | Hits: 688%/5113  
  🟩 NVHPC24.7          Pass: 100%/2   | Total: 27m 35s | Avg: 13m 47s | Max: 18m 02s
🟩 cxx_family
  🟩 Clang              Pass: 100%/18  | Total:  3h 33m | Avg: 11m 50s | Max: 23m 35s
  🟩 GCC                Pass: 100%/19  | Total:  2h 48m | Avg:  8m 52s | Max: 31m 29s
  🟩 MSVC               Pass: 100%/4   | Total:  1h 35m | Avg: 23m 57s | Max: 27m 41s | Hits: 688%/10065 
  🟩 NVHPC              Pass: 100%/2   | Total: 27m 35s | Avg: 13m 47s | Max: 18m 02s
🟩 gpu
  🟩 v100               Pass: 100%/43  | Total:  8h 25m | Avg: 11m 45s | Max: 31m 29s | Hits: 688%/10065 
🟩 jobs
  🟩 Build              Pass: 100%/38  | Total:  6h 44m | Avg: 10m 39s | Max: 27m 41s | Hits: 688%/10065 
  🟩 NVRTC              Pass: 100%/2   | Total:  1h 02m | Avg: 31m 15s | Max: 31m 29s
  🟩 Test               Pass: 100%/2   | Total: 35m 40s | Avg: 17m 50s | Max: 18m 23s
  🟩 VerifyCodegen      Pass: 100%/1   | Total:  2m 14s | Avg:  2m 14s | Max:  2m 14s
🟩 sm
  🟩 90                 Pass: 100%/1   | Total: 14m 12s | Avg: 14m 12s | Max: 14m 12s
  🟩 90a                Pass: 100%/2   | Total: 18m 22s | Avg:  9m 11s | Max: 14m 09s
🟩 std
  🟩 17                 Pass: 100%/21  | Total:  4h 14m | Avg: 12m 06s | Max: 31m 29s | Hits: 689%/7433  
  🟩 20                 Pass: 100%/21  | Total:  4h 08m | Avg: 11m 50s | Max: 31m 01s | Hits: 688%/2632

🟩 thrust: Pass: 100%/43 | Total: 7h 12m | Avg: 10m 03s | Max: 39m 50s | Hits: 344%/9220

🟩 cmake_options
  🟩 -DTHRUST_DISPATCH_TYPE=Force32bit Pass: 100%/2   | Total: 17m 59s | Avg:  8m 59s | Max: 11m 43s
🟩 cpu
  🟩 amd64              Pass: 100%/41  | Total:  7h 02m | Avg: 10m 18s | Max: 39m 50s | Hits: 344%/9220  
  🟩 arm64              Pass: 100%/2   | Total: 10m 01s | Avg:  5m 00s | Max:  5m 22s
🟩 ctk
  🟩 12.0               Pass: 100%/5   | Total: 47m 58s | Avg:  9m 35s | Max: 26m 13s | Hits: 360%/1844  
  🟩 12.5               Pass: 100%/2   | Total: 42m 05s | Avg: 21m 02s | Max: 21m 45s
  🟩 12.6               Pass: 100%/36  | Total:  5h 42m | Avg:  9m 30s | Max: 39m 50s | Hits: 340%/7376  
🟩 cudacxx
  🟩 ClangCUDA18        Pass: 100%/2   | Total: 10m 20s | Avg:  5m 10s | Max:  5m 21s
  🟩 nvcc12.0           Pass: 100%/5   | Total: 47m 58s | Avg:  9m 35s | Max: 26m 13s | Hits: 360%/1844  
  🟩 nvcc12.5           Pass: 100%/2   | Total: 42m 05s | Avg: 21m 02s | Max: 21m 45s
  🟩 nvcc12.6           Pass: 100%/34  | Total:  5h 32m | Avg:  9m 45s | Max: 39m 50s | Hits: 340%/7376  
🟩 cudacxx_family
  🟩 ClangCUDA          Pass: 100%/2   | Total: 10m 20s | Avg:  5m 10s | Max:  5m 21s
  🟩 nvcc               Pass: 100%/41  | Total:  7h 02m | Avg: 10m 17s | Max: 39m 50s | Hits: 344%/9220  
🟩 cxx
  🟩 Clang14            Pass: 100%/4   | Total: 22m 28s | Avg:  5m 37s | Max:  5m 59s
  🟩 Clang15            Pass: 100%/2   | Total: 11m 49s | Avg:  5m 54s | Max:  6m 03s
  🟩 Clang16            Pass: 100%/2   | Total: 10m 52s | Avg:  5m 26s | Max:  5m 36s
  🟩 Clang17            Pass: 100%/2   | Total: 10m 47s | Avg:  5m 23s | Max:  5m 25s
  🟩 Clang18            Pass: 100%/7   | Total: 48m 47s | Avg:  6m 58s | Max: 14m 52s
  🟩 GCC7               Pass: 100%/2   | Total: 11m 05s | Avg:  5m 32s | Max:  5m 36s
  🟩 GCC8               Pass: 100%/1   | Total:  5m 09s | Avg:  5m 09s | Max:  5m 09s
  🟩 GCC9               Pass: 100%/2   | Total: 11m 36s | Avg:  5m 48s | Max:  6m 03s
  🟩 GCC10              Pass: 100%/2   | Total: 11m 21s | Avg:  5m 40s | Max:  5m 57s
  🟩 GCC11              Pass: 100%/2   | Total: 11m 38s | Avg:  5m 49s | Max:  5m 50s
  🟩 GCC12              Pass: 100%/2   | Total: 11m 54s | Avg:  5m 57s | Max:  6m 01s
  🟩 GCC13              Pass: 100%/8   | Total:  1h 03m | Avg:  7m 58s | Max: 14m 56s
  🟩 MSVC14.29          Pass: 100%/2   | Total: 54m 12s | Avg: 27m 06s | Max: 27m 59s | Hits: 351%/3688  
  🟩 MSVC14.39          Pass: 100%/3   | Total:  1h 44m | Avg: 34m 58s | Max: 39m 50s | Hits: 339%/5532  
  🟩 NVHPC24.7          Pass: 100%/2   | Total: 42m 05s | Avg: 21m 02s | Max: 21m 45s
🟩 cxx_family
  🟩 Clang              Pass: 100%/17  | Total:  1h 44m | Avg:  6m 09s | Max: 14m 52s
  🟩 GCC                Pass: 100%/19  | Total:  2h 06m | Avg:  6m 39s | Max: 14m 56s
  🟩 MSVC               Pass: 100%/5   | Total:  2h 39m | Avg: 31m 49s | Max: 39m 50s | Hits: 344%/9220  
  🟩 NVHPC              Pass: 100%/2   | Total: 42m 05s | Avg: 21m 02s | Max: 21m 45s
🟩 gpu
  🟩 v100               Pass: 100%/43  | Total:  7h 12m | Avg: 10m 03s | Max: 39m 50s | Hits: 344%/9220  
🟩 jobs
  🟩 Build              Pass: 100%/37  | Total:  5h 43m | Avg:  9m 16s | Max: 39m 50s | Hits: 339%/7376  
  🟩 TestCPU            Pass: 100%/3   | Total: 47m 32s | Avg: 15m 50s | Max: 31m 31s | Hits: 365%/1844  
  🟩 TestGPU            Pass: 100%/3   | Total: 41m 31s | Avg: 13m 50s | Max: 14m 56s
🟩 sm
  🟩 90a                Pass: 100%/1   | Total:  4m 37s | Avg:  4m 37s | Max:  4m 37s
🟩 std
  🟩 17                 Pass: 100%/20  | Total:  3h 19m | Avg:  9m 58s | Max: 33m 34s | Hits: 346%/5532  
  🟩 20                 Pass: 100%/21  | Total:  3h 34m | Avg: 10m 13s | Max: 39m 50s | Hits: 341%/3688

🟩 cudax: Pass: 100%/20 | Total: 1h 49m | Avg: 5m 29s | Max: 20m 45s | Hits: 388%/522

🟩 cpu
  🟩 amd64              Pass: 100%/16  | Total:  1h 39m | Avg:  6m 11s | Max: 20m 45s | Hits: 388%/522   
  🟩 arm64              Pass: 100%/4   | Total: 10m 43s | Avg:  2m 40s | Max:  2m 43s
🟩 ctk
  🟩 12.0               Pass: 100%/1   | Total:  8m 33s | Avg:  8m 33s | Max:  8m 33s | Hits: 388%/261   
  🟩 12.5               Pass: 100%/2   | Total: 11m 46s | Avg:  5m 53s | Max:  6m 09s
  🟩 12.6               Pass: 100%/17  | Total:  1h 29m | Avg:  5m 15s | Max: 20m 45s | Hits: 388%/261   
🟩 cudacxx
  🟩 nvcc12.0           Pass: 100%/1   | Total:  8m 33s | Avg:  8m 33s | Max:  8m 33s | Hits: 388%/261   
  🟩 nvcc12.5           Pass: 100%/2   | Total: 11m 46s | Avg:  5m 53s | Max:  6m 09s
  🟩 nvcc12.6           Pass: 100%/17  | Total:  1h 29m | Avg:  5m 15s | Max: 20m 45s | Hits: 388%/261   
🟩 cudacxx_family
  🟩 nvcc               Pass: 100%/20  | Total:  1h 49m | Avg:  5m 29s | Max: 20m 45s | Hits: 388%/522   
🟩 cxx
  🟩 Clang14            Pass: 100%/1   | Total:  3m 03s | Avg:  3m 03s | Max:  3m 03s
  🟩 Clang15            Pass: 100%/1   | Total:  3m 22s | Avg:  3m 22s | Max:  3m 22s
  🟩 Clang16            Pass: 100%/1   | Total:  3m 19s | Avg:  3m 19s | Max:  3m 19s
  🟩 Clang17            Pass: 100%/1   | Total:  3m 20s | Avg:  3m 20s | Max:  3m 20s
  🟩 Clang18            Pass: 100%/4   | Total: 24m 25s | Avg:  6m 06s | Max: 15m 34s
  🟩 GCC10              Pass: 100%/1   | Total:  3m 23s | Avg:  3m 23s | Max:  3m 23s
  🟩 GCC11              Pass: 100%/1   | Total:  3m 18s | Avg:  3m 18s | Max:  3m 18s
  🟩 GCC12              Pass: 100%/2   | Total: 24m 00s | Avg: 12m 00s | Max: 20m 45s
  🟩 GCC13              Pass: 100%/4   | Total: 11m 20s | Avg:  2m 50s | Max:  3m 05s
  🟩 MSVC14.36          Pass: 100%/1   | Total:  8m 33s | Avg:  8m 33s | Max:  8m 33s | Hits: 388%/261   
  🟩 MSVC14.39          Pass: 100%/1   | Total: 10m 00s | Avg: 10m 00s | Max: 10m 00s | Hits: 388%/261   
  🟩 NVHPC24.7          Pass: 100%/2   | Total: 11m 46s | Avg:  5m 53s | Max:  6m 09s
🟩 cxx_family
  🟩 Clang              Pass: 100%/8   | Total: 37m 29s | Avg:  4m 41s | Max: 15m 34s
  🟩 GCC                Pass: 100%/8   | Total: 42m 01s | Avg:  5m 15s | Max: 20m 45s
  🟩 MSVC               Pass: 100%/2   | Total: 18m 33s | Avg:  9m 16s | Max: 10m 00s | Hits: 388%/522   
  🟩 NVHPC              Pass: 100%/2   | Total: 11m 46s | Avg:  5m 53s | Max:  6m 09s
🟩 gpu
  🟩 v100               Pass: 100%/20  | Total:  1h 49m | Avg:  5m 29s | Max: 20m 45s | Hits: 388%/522   
🟩 jobs
  🟩 Build              Pass: 100%/18  | Total:  1h 13m | Avg:  4m 05s | Max: 10m 00s | Hits: 388%/522   
  🟩 Test               Pass: 100%/2   | Total: 36m 19s | Avg: 18m 09s | Max: 20m 45s
🟩 sm
  🟩 90                 Pass: 100%/1   | Total:  3m 05s | Avg:  3m 05s | Max:  3m 05s
  🟩 90a                Pass: 100%/1   | Total:  2m 53s | Avg:  2m 53s | Max:  2m 53s
🟩 std
  🟩 17                 Pass: 100%/4   | Total: 14m 02s | Avg:  3m 30s | Max:  5m 37s
  🟩 20                 Pass: 100%/16  | Total:  1h 35m | Avg:  5m 59s | Max: 20m 45s | Hits: 388%/522

🟩 cccl: Pass: 100%/4 | Total: 19m 08s | Avg: 4m 47s | Max: 5m 04s

🟩 cpu
  🟩 amd64              Pass: 100%/4   | Total: 19m 08s | Avg:  4m 47s | Max:  5m 04s
🟩 ctk
  🟩 12.0               Pass: 100%/2   | Total:  9m 03s | Avg:  4m 31s | Max:  4m 54s
  🟩 12.6               Pass: 100%/2   | Total: 10m 05s | Avg:  5m 02s | Max:  5m 04s
🟩 cudacxx
  🟩 nvcc12.0           Pass: 100%/2   | Total:  9m 03s | Avg:  4m 31s | Max:  4m 54s
  🟩 nvcc12.6           Pass: 100%/2   | Total: 10m 05s | Avg:  5m 02s | Max:  5m 04s
🟩 cudacxx_family
  🟩 nvcc               Pass: 100%/4   | Total: 19m 08s | Avg:  4m 47s | Max:  5m 04s
🟩 cxx
  🟩 Clang14            Pass: 100%/1   | Total:  4m 54s | Avg:  4m 54s | Max:  4m 54s
  🟩 Clang18            Pass: 100%/1   | Total:  5m 04s | Avg:  5m 04s | Max:  5m 04s
  🟩 GCC12              Pass: 100%/1   | Total:  4m 09s | Avg:  4m 09s | Max:  4m 09s
  🟩 GCC13              Pass: 100%/1   | Total:  5m 01s | Avg:  5m 01s | Max:  5m 01s
🟩 cxx_family
  🟩 Clang              Pass: 100%/2   | Total:  9m 58s | Avg:  4m 59s | Max:  5m 04s
  🟩 GCC                Pass: 100%/2   | Total:  9m 10s | Avg:  4m 35s | Max:  5m 01s
🟩 gpu
  🟩 v100               Pass: 100%/4   | Total: 19m 08s | Avg:  4m 47s | Max:  5m 04s
🟩 jobs
  🟩 Infra              Pass: 100%/4   | Total: 19m 08s | Avg:  4m 47s | Max:  5m 04s

🟩 cccl_c_parallel: Pass: 100%/2 | Total: 11m 09s | Avg: 5m 34s | Max: 8m 48s

🟩 cpu
  🟩 amd64              Pass: 100%/2   | Total: 11m 09s | Avg:  5m 34s | Max:  8m 48s
🟩 ctk
  🟩 12.6               Pass: 100%/2   | Total: 11m 09s | Avg:  5m 34s | Max:  8m 48s
🟩 cudacxx
  🟩 nvcc12.6           Pass: 100%/2   | Total: 11m 09s | Avg:  5m 34s | Max:  8m 48s
🟩 cudacxx_family
  🟩 nvcc               Pass: 100%/2   | Total: 11m 09s | Avg:  5m 34s | Max:  8m 48s
🟩 cxx
  🟩 GCC13              Pass: 100%/2   | Total: 11m 09s | Avg:  5m 34s | Max:  8m 48s
🟩 cxx_family
  🟩 GCC                Pass: 100%/2   | Total: 11m 09s | Avg:  5m 34s | Max:  8m 48s
🟩 gpu
  🟩 v100               Pass: 100%/2   | Total: 11m 09s | Avg:  5m 34s | Max:  8m 48s
🟩 jobs
  🟩 Build              Pass: 100%/1   | Total:  2m 21s | Avg:  2m 21s | Max:  2m 21s
  🟩 Test               Pass: 100%/1   | Total:  8m 48s | Avg:  8m 48s | Max:  8m 48s

🟩 python: Pass: 100%/1 | Total: 53m 39s | Avg: 53m 39s | Max: 53m 39s

🟩 cpu
  🟩 amd64              Pass: 100%/1   | Total: 53m 39s | Avg: 53m 39s | Max: 53m 39s
🟩 ctk
  🟩 12.6               Pass: 100%/1   | Total: 53m 39s | Avg: 53m 39s | Max: 53m 39s
🟩 cudacxx
  🟩 nvcc12.6           Pass: 100%/1   | Total: 53m 39s | Avg: 53m 39s | Max: 53m 39s
🟩 cudacxx_family
  🟩 nvcc               Pass: 100%/1   | Total: 53m 39s | Avg: 53m 39s | Max: 53m 39s
🟩 cxx
  🟩 GCC13              Pass: 100%/1   | Total: 53m 39s | Avg: 53m 39s | Max: 53m 39s
🟩 cxx_family
  🟩 GCC                Pass: 100%/1   | Total: 53m 39s | Avg: 53m 39s | Max: 53m 39s
🟩 gpu
  🟩 v100               Pass: 100%/1   | Total: 53m 39s | Avg: 53m 39s | Max: 53m 39s
🟩 jobs
  🟩 Test               Pass: 100%/1   | Total: 53m 39s | Avg: 53m 39s | Max: 53m 39s

👃 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: 157)

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

…st` (NVIDIA#3523) Co-authored-by: Ashwin Srinath <shwina@users.noreply.github.com>

… -m pytest` (NVIDIA#3523)" This reverts commit a2e21cb.

…st` (NVIDIA#3523) Co-authored-by: Ashwin Srinath <shwina@users.noreply.github.com>

@shwina

* [FEA]: Introduce Python module with CCCL headers (#3201) * Add cccl/python/cuda_cccl directory and use from cuda_parallel, cuda_cooperative * Run `copy_cccl_headers_to_aude_include()` before `setup()` * Create python/cuda_cccl/cuda/_include/__init__.py, then simply import cuda._include to find the include path. * Add cuda.cccl._version exactly as for cuda.cooperative and cuda.parallel * Bug fix: cuda/_include only exists after shutil.copytree() ran. * Use `f"cuda-cccl @ file://{cccl_path}/python/cuda_cccl"` in setup.py * Remove CustomBuildCommand, CustomWheelBuild in cuda_parallel/setup.py (they are equivalent to the default functions) * Replace := operator (needs Python 3.8+) * Fix oversights: remove `pip3 install ./cuda_cccl` lines from README.md * Restore original README.md: `pip3 install -e` now works on first pass. * cuda_cccl/README.md: FOR INTERNAL USE ONLY * Remove `$pymajor.$pyminor.` prefix in cuda_cccl _version.py (as suggested under #3201 (comment)) Command used: ci/update_version.sh 2 8 0 * Modernize pyproject.toml, setup.py Trigger for this change: * #3201 (comment) * #3201 (comment) * Install CCCL headers under cuda.cccl.include Trigger for this change: * #3201 (comment) Unexpected accidental discovery: cuda.cooperative unit tests pass without CCCL headers entirely. * Factor out cuda_cccl/cuda/cccl/include_paths.py * Reuse cuda_cccl/cuda/cccl/include_paths.py from cuda_cooperative * Add missing Copyright notice. * Add missing __init__.py (cuda.cccl) * Add `"cuda.cccl"` to `autodoc.mock_imports` * Move cuda.cccl.include_paths into function where it is used. (Attempt to resolve Build and Verify Docs failure.) * Add # TODO: move this to a module-level import * Modernize cuda_cooperative/pyproject.toml, setup.py * Convert cuda_cooperative to use hatchling as build backend. * Revert "Convert cuda_cooperative to use hatchling as build backend." This reverts commit 61637d6. * Move numpy from [build-system] requires -> [project] dependencies * Move pyproject.toml [project] dependencies -> setup.py install_requires, to be able to use CCCL_PATH * Remove copy_license() and use license_files=["../../LICENSE"] instead. * Further modernize cuda_cccl/setup.py to use pathlib * Trivial simplifications in cuda_cccl/pyproject.toml * Further simplify cuda_cccl/pyproject.toml, setup.py: remove inconsequential code * Make cuda_cooperative/pyproject.toml more similar to cuda_cccl/pyproject.toml * Add taplo-pre-commit to .pre-commit-config.yaml * taplo-pre-commit auto-fixes * Use pathlib in cuda_cooperative/setup.py * CCCL_PYTHON_PATH in cuda_cooperative/setup.py * Modernize cuda_parallel/pyproject.toml, setup.py * Use pathlib in cuda_parallel/setup.py * Add `# TOML lint & format` comment. * Replace MANIFEST.in with `[tool.setuptools.package-data]` section in pyproject.toml * Use pathlib in cuda/cccl/include_paths.py * pre-commit autoupdate (EXCEPT clang-format, which was manually restored) * Fixes after git merge main * Resolve warning: AttributeError: '_Reduce' object has no attribute 'build_result' ``` =========================================================================== warnings summary =========================================================================== tests/test_reduce.py::test_reduce_non_contiguous /home/coder/cccl/python/devenv/lib/python3.12/site-packages/_pytest/unraisableexception.py:85: PytestUnraisableExceptionWarning: Exception ignored in: <function _Reduce.__del__ at 0x7bf123139080> Traceback (most recent call last): File "/home/coder/cccl/python/cuda_parallel/cuda/parallel/experimental/algorithms/reduce.py", line 132, in __del__ bindings.cccl_device_reduce_cleanup(ctypes.byref(self.build_result)) ^^^^^^^^^^^^^^^^^ AttributeError: '_Reduce' object has no attribute 'build_result' warnings.warn(pytest.PytestUnraisableExceptionWarning(msg)) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html ============================================================= 1 passed, 93 deselected, 1 warning in 0.44s ============================================================== ``` * Move `copy_cccl_headers_to_cuda_cccl_include()` functionality to `class CustomBuildPy` * Introduce cuda_cooperative/constraints.txt * Also add cuda_parallel/constraints.txt * Add `--constraint constraints.txt` in ci/test_python.sh * Update Copyright dates * Switch to https://github.com/ComPWA/taplo-pre-commit (the other repo has been archived by the owner on Jul 1, 2024) For completeness: The other repo took a long time to install into the pre-commit cache; so long it lead to timeouts in the CCCL CI. * Remove unused cuda_parallel jinja2 dependency (noticed by chance). * Remove constraints.txt files, advertise running `pip install cuda-cccl` first instead. * Make cuda_cooperative, cuda_parallel testing completely independent. * Run only test_python.sh [skip-rapids][skip-matx][skip-docs][skip-vdc] * Try using another runner (because V100 runners seem to be stuck) [skip-rapids][skip-matx][skip-docs][skip-vdc] * Fix sign-compare warning (#3408) [skip-rapids][skip-matx][skip-docs][skip-vdc] * Revert "Try using another runner (because V100 runners seem to be stuck) [skip-rapids][skip-matx][skip-docs][skip-vdc]" This reverts commit ea33a21. Error message: #3201 (comment) * Try using A100 runner (because V100 runners still seem to be stuck) [skip-rapids][skip-matx][skip-docs][skip-vdc] * Also show cuda-cooperative site-packages, cuda-parallel site-packages (after pip install) [skip-rapids][skip-matx][skip-docs][skip-vdc] * Try using l4 runner (because V100 runners still seem to be stuck) [skip-rapids][skip-matx][skip-docs][skip-vdc] * Restore original ci/matrix.yaml [skip-rapids] * Use for loop in test_python.sh to avoid code duplication. * Run only test_python.sh [skip-rapids][skip-matx][skip-docs][skip-vdc][skip pre-commit.ci] * Comment out taplo-lint in pre-commit config [skip-rapids][skip-matx][skip-docs][skip-vdc] * Revert "Run only test_python.sh [skip-rapids][skip-matx][skip-docs][skip-vdc][skip pre-commit.ci]" This reverts commit ec206fd. * Implement suggestion by @shwina (#3201 (review)) * Address feedback by @leofang --------- Co-authored-by: Bernhard Manfred Gruber <bernhardmgruber@gmail.com> * cuda.parallel: invoke pytest directly rather than via `python -m pytest` (#3523) Co-authored-by: Ashwin Srinath <shwina@users.noreply.github.com> * Copy file from PR #3547 (bugfix/drop_pipe_in_lit by @wmaxey) * Revert "cuda.parallel: invoke pytest directly rather than via `python -m pytest` (#3523)" This reverts commit a2e21cb. * Replace pipes.quote with shlex.quote in lit config (#3547) * Replace pipes.quote with shlex.quote * Drop TBB run on windows to unblock CI * Update ci/matrix.yaml Co-authored-by: Michael Schellenberger Costa <miscco@nvidia.com> Co-authored-by: Bernhard Manfred Gruber <bernhardmgruber@gmail.com> * Remove nvks runners from testing pool. (#3580) --------- Co-authored-by: Bernhard Manfred Gruber <bernhardmgruber@gmail.com> Co-authored-by: Ashwin Srinath <3190405+shwina@users.noreply.github.com> Co-authored-by: Ashwin Srinath <shwina@users.noreply.github.com> Co-authored-by: Wesley Maxey <71408887+wmaxey@users.noreply.github.com> Co-authored-by: Michael Schellenberger Costa <miscco@nvidia.com> Co-authored-by: Allison Piper <alliepiper16@gmail.com>

@shwina

…e 2.8.x branch. (NVIDIA#3536) * [FEA]: Introduce Python module with CCCL headers (NVIDIA#3201) * Add cccl/python/cuda_cccl directory and use from cuda_parallel, cuda_cooperative * Run `copy_cccl_headers_to_aude_include()` before `setup()` * Create python/cuda_cccl/cuda/_include/__init__.py, then simply import cuda._include to find the include path. * Add cuda.cccl._version exactly as for cuda.cooperative and cuda.parallel * Bug fix: cuda/_include only exists after shutil.copytree() ran. * Use `f"cuda-cccl @ file://{cccl_path}/python/cuda_cccl"` in setup.py * Remove CustomBuildCommand, CustomWheelBuild in cuda_parallel/setup.py (they are equivalent to the default functions) * Replace := operator (needs Python 3.8+) * Fix oversights: remove `pip3 install ./cuda_cccl` lines from README.md * Restore original README.md: `pip3 install -e` now works on first pass. * cuda_cccl/README.md: FOR INTERNAL USE ONLY * Remove `$pymajor.$pyminor.` prefix in cuda_cccl _version.py (as suggested under NVIDIA#3201 (comment)) Command used: ci/update_version.sh 2 8 0 * Modernize pyproject.toml, setup.py Trigger for this change: * NVIDIA#3201 (comment) * NVIDIA#3201 (comment) * Install CCCL headers under cuda.cccl.include Trigger for this change: * NVIDIA#3201 (comment) Unexpected accidental discovery: cuda.cooperative unit tests pass without CCCL headers entirely. * Factor out cuda_cccl/cuda/cccl/include_paths.py * Reuse cuda_cccl/cuda/cccl/include_paths.py from cuda_cooperative * Add missing Copyright notice. * Add missing __init__.py (cuda.cccl) * Add `"cuda.cccl"` to `autodoc.mock_imports` * Move cuda.cccl.include_paths into function where it is used. (Attempt to resolve Build and Verify Docs failure.) * Add # TODO: move this to a module-level import * Modernize cuda_cooperative/pyproject.toml, setup.py * Convert cuda_cooperative to use hatchling as build backend. * Revert "Convert cuda_cooperative to use hatchling as build backend." This reverts commit 61637d6. * Move numpy from [build-system] requires -> [project] dependencies * Move pyproject.toml [project] dependencies -> setup.py install_requires, to be able to use CCCL_PATH * Remove copy_license() and use license_files=["../../LICENSE"] instead. * Further modernize cuda_cccl/setup.py to use pathlib * Trivial simplifications in cuda_cccl/pyproject.toml * Further simplify cuda_cccl/pyproject.toml, setup.py: remove inconsequential code * Make cuda_cooperative/pyproject.toml more similar to cuda_cccl/pyproject.toml * Add taplo-pre-commit to .pre-commit-config.yaml * taplo-pre-commit auto-fixes * Use pathlib in cuda_cooperative/setup.py * CCCL_PYTHON_PATH in cuda_cooperative/setup.py * Modernize cuda_parallel/pyproject.toml, setup.py * Use pathlib in cuda_parallel/setup.py * Add `# TOML lint & format` comment. * Replace MANIFEST.in with `[tool.setuptools.package-data]` section in pyproject.toml * Use pathlib in cuda/cccl/include_paths.py * pre-commit autoupdate (EXCEPT clang-format, which was manually restored) * Fixes after git merge main * Resolve warning: AttributeError: '_Reduce' object has no attribute 'build_result' ``` =========================================================================== warnings summary =========================================================================== tests/test_reduce.py::test_reduce_non_contiguous /home/coder/cccl/python/devenv/lib/python3.12/site-packages/_pytest/unraisableexception.py:85: PytestUnraisableExceptionWarning: Exception ignored in: <function _Reduce.__del__ at 0x7bf123139080> Traceback (most recent call last): File "/home/coder/cccl/python/cuda_parallel/cuda/parallel/experimental/algorithms/reduce.py", line 132, in __del__ bindings.cccl_device_reduce_cleanup(ctypes.byref(self.build_result)) ^^^^^^^^^^^^^^^^^ AttributeError: '_Reduce' object has no attribute 'build_result' warnings.warn(pytest.PytestUnraisableExceptionWarning(msg)) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html ============================================================= 1 passed, 93 deselected, 1 warning in 0.44s ============================================================== ``` * Move `copy_cccl_headers_to_cuda_cccl_include()` functionality to `class CustomBuildPy` * Introduce cuda_cooperative/constraints.txt * Also add cuda_parallel/constraints.txt * Add `--constraint constraints.txt` in ci/test_python.sh * Update Copyright dates * Switch to https://github.com/ComPWA/taplo-pre-commit (the other repo has been archived by the owner on Jul 1, 2024) For completeness: The other repo took a long time to install into the pre-commit cache; so long it lead to timeouts in the CCCL CI. * Remove unused cuda_parallel jinja2 dependency (noticed by chance). * Remove constraints.txt files, advertise running `pip install cuda-cccl` first instead. * Make cuda_cooperative, cuda_parallel testing completely independent. * Run only test_python.sh [skip-rapids][skip-matx][skip-docs][skip-vdc] * Try using another runner (because V100 runners seem to be stuck) [skip-rapids][skip-matx][skip-docs][skip-vdc] * Fix sign-compare warning (NVIDIA#3408) [skip-rapids][skip-matx][skip-docs][skip-vdc] * Revert "Try using another runner (because V100 runners seem to be stuck) [skip-rapids][skip-matx][skip-docs][skip-vdc]" This reverts commit ea33a21. Error message: NVIDIA#3201 (comment) * Try using A100 runner (because V100 runners still seem to be stuck) [skip-rapids][skip-matx][skip-docs][skip-vdc] * Also show cuda-cooperative site-packages, cuda-parallel site-packages (after pip install) [skip-rapids][skip-matx][skip-docs][skip-vdc] * Try using l4 runner (because V100 runners still seem to be stuck) [skip-rapids][skip-matx][skip-docs][skip-vdc] * Restore original ci/matrix.yaml [skip-rapids] * Use for loop in test_python.sh to avoid code duplication. * Run only test_python.sh [skip-rapids][skip-matx][skip-docs][skip-vdc][skip pre-commit.ci] * Comment out taplo-lint in pre-commit config [skip-rapids][skip-matx][skip-docs][skip-vdc] * Revert "Run only test_python.sh [skip-rapids][skip-matx][skip-docs][skip-vdc][skip pre-commit.ci]" This reverts commit ec206fd. * Implement suggestion by @shwina (NVIDIA#3201 (review)) * Address feedback by @leofang --------- Co-authored-by: Bernhard Manfred Gruber <bernhardmgruber@gmail.com> * cuda.parallel: invoke pytest directly rather than via `python -m pytest` (NVIDIA#3523) Co-authored-by: Ashwin Srinath <shwina@users.noreply.github.com> * Copy file from PR NVIDIA#3547 (bugfix/drop_pipe_in_lit by @wmaxey) * Revert "cuda.parallel: invoke pytest directly rather than via `python -m pytest` (NVIDIA#3523)" This reverts commit a2e21cb. * Replace pipes.quote with shlex.quote in lit config (NVIDIA#3547) * Replace pipes.quote with shlex.quote * Drop TBB run on windows to unblock CI * Update ci/matrix.yaml Co-authored-by: Michael Schellenberger Costa <miscco@nvidia.com> Co-authored-by: Bernhard Manfred Gruber <bernhardmgruber@gmail.com> * Remove nvks runners from testing pool. (NVIDIA#3580) --------- Co-authored-by: Bernhard Manfred Gruber <bernhardmgruber@gmail.com> Co-authored-by: Ashwin Srinath <3190405+shwina@users.noreply.github.com> Co-authored-by: Ashwin Srinath <shwina@users.noreply.github.com> Co-authored-by: Wesley Maxey <71408887+wmaxey@users.noreply.github.com> Co-authored-by: Michael Schellenberger Costa <miscco@nvidia.com> Co-authored-by: Allison Piper <alliepiper16@gmail.com>

@shwina

* Backport PRs #3201, #3523, #3547, #3580 to the 2.8.x branch. (#3536) * [FEA]: Introduce Python module with CCCL headers (#3201) * Add cccl/python/cuda_cccl directory and use from cuda_parallel, cuda_cooperative * Run `copy_cccl_headers_to_aude_include()` before `setup()` * Create python/cuda_cccl/cuda/_include/__init__.py, then simply import cuda._include to find the include path. * Add cuda.cccl._version exactly as for cuda.cooperative and cuda.parallel * Bug fix: cuda/_include only exists after shutil.copytree() ran. * Use `f"cuda-cccl @ file://{cccl_path}/python/cuda_cccl"` in setup.py * Remove CustomBuildCommand, CustomWheelBuild in cuda_parallel/setup.py (they are equivalent to the default functions) * Replace := operator (needs Python 3.8+) * Fix oversights: remove `pip3 install ./cuda_cccl` lines from README.md * Restore original README.md: `pip3 install -e` now works on first pass. * cuda_cccl/README.md: FOR INTERNAL USE ONLY * Remove `$pymajor.$pyminor.` prefix in cuda_cccl _version.py (as suggested under #3201 (comment)) Command used: ci/update_version.sh 2 8 0 * Modernize pyproject.toml, setup.py Trigger for this change: * #3201 (comment) * #3201 (comment) * Install CCCL headers under cuda.cccl.include Trigger for this change: * #3201 (comment) Unexpected accidental discovery: cuda.cooperative unit tests pass without CCCL headers entirely. * Factor out cuda_cccl/cuda/cccl/include_paths.py * Reuse cuda_cccl/cuda/cccl/include_paths.py from cuda_cooperative * Add missing Copyright notice. * Add missing __init__.py (cuda.cccl) * Add `"cuda.cccl"` to `autodoc.mock_imports` * Move cuda.cccl.include_paths into function where it is used. (Attempt to resolve Build and Verify Docs failure.) * Add # TODO: move this to a module-level import * Modernize cuda_cooperative/pyproject.toml, setup.py * Convert cuda_cooperative to use hatchling as build backend. * Revert "Convert cuda_cooperative to use hatchling as build backend." This reverts commit 61637d6. * Move numpy from [build-system] requires -> [project] dependencies * Move pyproject.toml [project] dependencies -> setup.py install_requires, to be able to use CCCL_PATH * Remove copy_license() and use license_files=["../../LICENSE"] instead. * Further modernize cuda_cccl/setup.py to use pathlib * Trivial simplifications in cuda_cccl/pyproject.toml * Further simplify cuda_cccl/pyproject.toml, setup.py: remove inconsequential code * Make cuda_cooperative/pyproject.toml more similar to cuda_cccl/pyproject.toml * Add taplo-pre-commit to .pre-commit-config.yaml * taplo-pre-commit auto-fixes * Use pathlib in cuda_cooperative/setup.py * CCCL_PYTHON_PATH in cuda_cooperative/setup.py * Modernize cuda_parallel/pyproject.toml, setup.py * Use pathlib in cuda_parallel/setup.py * Add `# TOML lint & format` comment. * Replace MANIFEST.in with `[tool.setuptools.package-data]` section in pyproject.toml * Use pathlib in cuda/cccl/include_paths.py * pre-commit autoupdate (EXCEPT clang-format, which was manually restored) * Fixes after git merge main * Resolve warning: AttributeError: '_Reduce' object has no attribute 'build_result' ``` =========================================================================== warnings summary =========================================================================== tests/test_reduce.py::test_reduce_non_contiguous /home/coder/cccl/python/devenv/lib/python3.12/site-packages/_pytest/unraisableexception.py:85: PytestUnraisableExceptionWarning: Exception ignored in: <function _Reduce.__del__ at 0x7bf123139080> Traceback (most recent call last): File "/home/coder/cccl/python/cuda_parallel/cuda/parallel/experimental/algorithms/reduce.py", line 132, in __del__ bindings.cccl_device_reduce_cleanup(ctypes.byref(self.build_result)) ^^^^^^^^^^^^^^^^^ AttributeError: '_Reduce' object has no attribute 'build_result' warnings.warn(pytest.PytestUnraisableExceptionWarning(msg)) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html ============================================================= 1 passed, 93 deselected, 1 warning in 0.44s ============================================================== ``` * Move `copy_cccl_headers_to_cuda_cccl_include()` functionality to `class CustomBuildPy` * Introduce cuda_cooperative/constraints.txt * Also add cuda_parallel/constraints.txt * Add `--constraint constraints.txt` in ci/test_python.sh * Update Copyright dates * Switch to https://github.com/ComPWA/taplo-pre-commit (the other repo has been archived by the owner on Jul 1, 2024) For completeness: The other repo took a long time to install into the pre-commit cache; so long it lead to timeouts in the CCCL CI. * Remove unused cuda_parallel jinja2 dependency (noticed by chance). * Remove constraints.txt files, advertise running `pip install cuda-cccl` first instead. * Make cuda_cooperative, cuda_parallel testing completely independent. * Run only test_python.sh [skip-rapids][skip-matx][skip-docs][skip-vdc] * Try using another runner (because V100 runners seem to be stuck) [skip-rapids][skip-matx][skip-docs][skip-vdc] * Fix sign-compare warning (#3408) [skip-rapids][skip-matx][skip-docs][skip-vdc] * Revert "Try using another runner (because V100 runners seem to be stuck) [skip-rapids][skip-matx][skip-docs][skip-vdc]" This reverts commit ea33a21. Error message: #3201 (comment) * Try using A100 runner (because V100 runners still seem to be stuck) [skip-rapids][skip-matx][skip-docs][skip-vdc] * Also show cuda-cooperative site-packages, cuda-parallel site-packages (after pip install) [skip-rapids][skip-matx][skip-docs][skip-vdc] * Try using l4 runner (because V100 runners still seem to be stuck) [skip-rapids][skip-matx][skip-docs][skip-vdc] * Restore original ci/matrix.yaml [skip-rapids] * Use for loop in test_python.sh to avoid code duplication. * Run only test_python.sh [skip-rapids][skip-matx][skip-docs][skip-vdc][skip pre-commit.ci] * Comment out taplo-lint in pre-commit config [skip-rapids][skip-matx][skip-docs][skip-vdc] * Revert "Run only test_python.sh [skip-rapids][skip-matx][skip-docs][skip-vdc][skip pre-commit.ci]" This reverts commit ec206fd. * Implement suggestion by @shwina (#3201 (review)) * Address feedback by @leofang --------- Co-authored-by: Bernhard Manfred Gruber <bernhardmgruber@gmail.com> * cuda.parallel: invoke pytest directly rather than via `python -m pytest` (#3523) Co-authored-by: Ashwin Srinath <shwina@users.noreply.github.com> * Copy file from PR #3547 (bugfix/drop_pipe_in_lit by @wmaxey) * Revert "cuda.parallel: invoke pytest directly rather than via `python -m pytest` (#3523)" This reverts commit a2e21cb. * Replace pipes.quote with shlex.quote in lit config (#3547) * Replace pipes.quote with shlex.quote * Drop TBB run on windows to unblock CI * Update ci/matrix.yaml Co-authored-by: Michael Schellenberger Costa <miscco@nvidia.com> Co-authored-by: Bernhard Manfred Gruber <bernhardmgruber@gmail.com> * Remove nvks runners from testing pool. (#3580) --------- Co-authored-by: Bernhard Manfred Gruber <bernhardmgruber@gmail.com> Co-authored-by: Ashwin Srinath <3190405+shwina@users.noreply.github.com> Co-authored-by: Ashwin Srinath <shwina@users.noreply.github.com> Co-authored-by: Wesley Maxey <71408887+wmaxey@users.noreply.github.com> Co-authored-by: Michael Schellenberger Costa <miscco@nvidia.com> Co-authored-by: Allison Piper <alliepiper16@gmail.com> * Suppress execution checks for vocabulary types (#3578) * Suppress execution checks for optional * Suppress execution checks for `expected` * Suppress execution checks for `pair` * Suppress execution checks for `variant` * Remove some jobs * Disable sampls in old CI * Fix compiler detection * Disable tests for unsupported standard modes * Fix compiler detection * Fix compiler detection more * Fix matrix * Also suppress for swap * Fix formatting * Use the internal function fopr MSVC * Try adding import? * Revert all changes to python module * Fix formatting * Update `upload-pages-artifact` * Update RAPIDS to 25.02. (#2967) * Update RAPIDS to 25.02. * Remove RAFT BUILD_ANN_BENCH option. * Rename KvikIO to kvikio. * Add back cugraph-ops until it's completely purged from RAPIDS upstream dependencies. * Update devcontainers. * Use the 24.10 image for cccl CI * Drop gugraph ops * Also drop cugraph-gnn for now --------- Co-authored-by: Bernhard Manfred Gruber <bernhardmgruber@gmail.com> Co-authored-by: Ashwin Srinath <3190405+shwina@users.noreply.github.com> Co-authored-by: Ashwin Srinath <shwina@users.noreply.github.com> Co-authored-by: Wesley Maxey <71408887+wmaxey@users.noreply.github.com> Co-authored-by: Allison Piper <alliepiper16@gmail.com> Co-authored-by: Bradley Dice <bdice@bradleydice.com>

cuda.parallel: invoke pytest directly rather than via python -m pytest

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shwina requested a review from a team as a code owner January 24, 2025 14:02

shwina requested a review from jrhemstad January 24, 2025 14:02

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shwina merged commit de038b7 into NVIDIA:main Jan 25, 2025
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bernhardmgruber added the backport branch/2.8.x label Jan 27, 2025

bernhardmgruber pushed a commit to bernhardmgruber/cccl that referenced this pull request Jan 27, 2025

cuda.parallel: invoke pytest directly rather than via `python -m pyte…

830b024

…st` (NVIDIA#3523) Co-authored-by: Ashwin Srinath <shwina@users.noreply.github.com>

rwgk pushed a commit to rwgk/cccl that referenced this pull request Jan 27, 2025

cuda.parallel: invoke pytest directly rather than via `python -m pyte…

a2e21cb

…st` (NVIDIA#3523) Co-authored-by: Ashwin Srinath <shwina@users.noreply.github.com>

rwgk mentioned this pull request Jan 27, 2025

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

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rwgk added a commit to rwgk/cccl that referenced this pull request Jan 28, 2025

Revert "cuda.parallel: invoke pytest directly rather than via `python…

10660b4

… -m pytest` (NVIDIA#3523)" This reverts commit a2e21cb.

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

cuda.parallel: invoke pytest directly rather than via `python -m pyte…

55321ec

…st` (NVIDIA#3523) Co-authored-by: Ashwin Srinath <shwina@users.noreply.github.com>

This was referenced Jan 30, 2025

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

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

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cuda.parallel: invoke pytest directly rather than via `python -m pytest` #3523

cuda.parallel: invoke pytest directly rather than via `python -m pytest` #3523

shwina commented Jan 24, 2025

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github-actions bot commented Jan 24, 2025

🟨 cub: Pass: 97%/44 | Total: 16h 46m | Avg: 22m 52s | Max: 43m 58s | Hits: 539%/3552

🟩 libcudacxx: Pass: 100%/43 | Total: 8h 25m | Avg: 11m 45s | Max: 31m 29s | Hits: 688%/10065

🟩 thrust: Pass: 100%/43 | Total: 7h 12m | Avg: 10m 03s | Max: 39m 50s | Hits: 344%/9220

🟩 cudax: Pass: 100%/20 | Total: 1h 49m | Avg: 5m 29s | Max: 20m 45s | Hits: 388%/522

🟩 cccl: Pass: 100%/4 | Total: 19m 08s | Avg: 4m 47s | Max: 5m 04s

🟩 cccl_c_parallel: Pass: 100%/2 | Total: 11m 09s | Avg: 5m 34s | Max: 8m 48s

🟩 python: Pass: 100%/1 | Total: 53m 39s | Avg: 53m 39s | Max: 53m 39s

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🏃‍ Runner counts (total jobs: 157)

github-actions bot commented Jan 25, 2025

🟩 cub: Pass: 100%/44 | Total: 17h 02m | Avg: 23m 13s | Max: 43m 58s | Hits: 539%/3552

🟩 libcudacxx: Pass: 100%/43 | Total: 8h 25m | Avg: 11m 45s | Max: 31m 29s | Hits: 688%/10065

🟩 thrust: Pass: 100%/43 | Total: 7h 12m | Avg: 10m 03s | Max: 39m 50s | Hits: 344%/9220

🟩 cudax: Pass: 100%/20 | Total: 1h 49m | Avg: 5m 29s | Max: 20m 45s | Hits: 388%/522

🟩 cccl: Pass: 100%/4 | Total: 19m 08s | Avg: 4m 47s | Max: 5m 04s

🟩 cccl_c_parallel: Pass: 100%/2 | Total: 11m 09s | Avg: 5m 34s | Max: 8m 48s

🟩 python: Pass: 100%/1 | Total: 53m 39s | Avg: 53m 39s | Max: 53m 39s

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🏃‍ Runner counts (total jobs: 157)

cuda.parallel: invoke pytest directly rather than via python -m pytest #3523

cuda.parallel: invoke pytest directly rather than via python -m pytest #3523

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shwina commented Jan 24, 2025

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shwina commented Jan 24, 2025

github-actions bot commented Jan 24, 2025

🟨 cub: Pass: 97%/44 | Total: 16h 46m | Avg: 22m 52s | Max: 43m 58s | Hits: 539%/3552

🟩 libcudacxx: Pass: 100%/43 | Total: 8h 25m | Avg: 11m 45s | Max: 31m 29s | Hits: 688%/10065

🟩 thrust: Pass: 100%/43 | Total: 7h 12m | Avg: 10m 03s | Max: 39m 50s | Hits: 344%/9220

🟩 cudax: Pass: 100%/20 | Total: 1h 49m | Avg: 5m 29s | Max: 20m 45s | Hits: 388%/522

🟩 cccl: Pass: 100%/4 | Total: 19m 08s | Avg: 4m 47s | Max: 5m 04s

🟩 cccl_c_parallel: Pass: 100%/2 | Total: 11m 09s | Avg: 5m 34s | Max: 8m 48s

🟩 python: Pass: 100%/1 | Total: 53m 39s | Avg: 53m 39s | Max: 53m 39s

👃 Inspect Changes

Modifications in project?

Modifications in project or dependencies?

🏃‍ Runner counts (total jobs: 157)

github-actions bot commented Jan 25, 2025

🟩 cub: Pass: 100%/44 | Total: 17h 02m | Avg: 23m 13s | Max: 43m 58s | Hits: 539%/3552

🟩 libcudacxx: Pass: 100%/43 | Total: 8h 25m | Avg: 11m 45s | Max: 31m 29s | Hits: 688%/10065

🟩 thrust: Pass: 100%/43 | Total: 7h 12m | Avg: 10m 03s | Max: 39m 50s | Hits: 344%/9220

🟩 cudax: Pass: 100%/20 | Total: 1h 49m | Avg: 5m 29s | Max: 20m 45s | Hits: 388%/522

🟩 cccl: Pass: 100%/4 | Total: 19m 08s | Avg: 4m 47s | Max: 5m 04s

🟩 cccl_c_parallel: Pass: 100%/2 | Total: 11m 09s | Avg: 5m 34s | Max: 8m 48s

🟩 python: Pass: 100%/1 | Total: 53m 39s | Avg: 53m 39s | Max: 53m 39s

👃 Inspect Changes

Modifications in project?

Modifications in project or dependencies?

🏃‍ Runner counts (total jobs: 157)

cuda.parallel: invoke pytest directly rather than via `python -m pytest` #3523

cuda.parallel: invoke pytest directly rather than via `python -m pytest` #3523