[CUDAX] Add a global constexpr `cudax::devices` range for all devices in the system #2100

ericniebler · 2024-07-29T22:04:46Z

Description

This PR adds a global constexpr range of cudax::device objects. cudax::devices[0] is the same as cudax::device(0). The number of cuda devices in the system can be obtained with cudax::devices.size().

see [548fc5d] for the changes in only this PR. EDIT: i will rebase when #2084 is merged.

closes #2099

Checklist

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

copy-pr-bot · 2024-07-29T22:04:49Z

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ericniebler · 2024-07-29T22:07:19Z

pre-commit.ci autofix

ericniebler · 2024-07-29T22:08:16Z

/ok to test

cudax/include/cuda/experimental/__device/device_vector.cuh

ericniebler · 2024-07-30T02:36:38Z

/ok to test

github-actions · 2024-07-30T05:19:10Z

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🏃‍ Runner counts (total jobs: 56)

#	Runner
41	`linux-amd64-cpu16`
9	`linux-amd64-gpu-v100-latest-1`
4	`linux-arm64-cpu16`
2	`windows-amd64-cpu16`

cudax/include/cuda/experimental/__device/attributes.cuh

cudax/include/cuda/experimental/__device/device_vector.cuh

cudax/test/CMakeLists.txt

the number of cuda devices can be determined by calling `cuda::devices.size()`. `cuda::devices` is a range of `cuda::device` objects.

github-actions · 2024-07-31T00:33:47Z

🟨 CI finished in 5h 06m: Pass: 96%/56 | Total: 3h 13m | Avg: 3m 27s | Max: 10m 52s | Hits: 71%/2279

🟨 cudax: Pass: 96%/55 | Total: 3h 02m | Avg: 3m 19s | Max: 8m 10s | Hits: 71%/2279

🔍 cpu: amd64 🔍
  🔍 amd64              Pass:  96%/51  | Total:  2h 50m | Avg:  3m 20s | Max:  8m 10s | Hits:  71%/2107  
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🟩 pycuda: Pass: 100%/1 | Total: 10m 52s | Avg: 10m 52s | Max: 10m 52s

🟩 cpu
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🟩 jobs
  🟩 Test               Pass: 100%/1   | Total: 10m 52s | Avg: 10m 52s | Max: 10m 52s

👃 Inspect Changes

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🏃‍ Runner counts (total jobs: 56)

#	Runner
41	`linux-amd64-cpu16`
9	`linux-amd64-gpu-v100-latest-1`
4	`linux-arm64-cpu16`
2	`windows-amd64-cpu16`

cudax/include/cuda/experimental/__device/all_devices.cuh

cudax/include/cuda/experimental/__device/device_vector.cuh

cudax/include/cuda/experimental/__device/all_devices.cuh

ericniebler · 2024-07-31T22:53:22Z

i have updated this pr to make cudax::devices be a range of device objects, instead of a range of device_refs.

github-actions · 2024-08-01T01:16:06Z

🟨 CI finished in 2h 23m: Pass: 98%/56 | Total: 2h 36m | Avg: 2m 48s | Max: 11m 55s | Hits: 90%/2586

🟨 cudax: Pass: 98%/55 | Total: 2h 24m | Avg: 2m 38s | Max: 9m 10s | Hits: 90%/2586

🔍 cpu: amd64 🔍
  🔍 amd64              Pass:  98%/51  | Total:  2h 15m | Avg:  2m 39s | Max:  9m 10s | Hits:  90%/2394  
  🟩 arm64              Pass: 100%/4   | Total:  8m 59s | Avg:  2m 14s | Max:  2m 39s | Hits:  89%/192   
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  🟩 GCC12              Pass: 100%/12  | Total: 32m 01s | Avg:  2m 40s | Max:  4m 02s | Hits:  90%/576   
  🟩 Intel2023.2.0      Pass: 100%/1   | Total:  2m 52s | Avg:  2m 52s | Max:  2m 52s | Hits:  91%/48    
  🔥 MSVC14.36          Pass:   0%/1   | Total:  7m 34s | Avg:  7m 34s | Max:  7m 34s
  🟩 MSVC14.39          Pass: 100%/1   | Total:  9m 10s | Avg:  9m 10s | Max:  9m 10s | Hits:  71%/42    
🔍 cxx_family: MSVC 🔍
  🟩 Clang              Pass: 100%/30  | Total:  1h 13m | Avg:  2m 27s | Max:  4m 46s | Hits:  92%/1440  
  🟩 GCC                Pass: 100%/22  | Total: 51m 37s | Avg:  2m 20s | Max:  4m 02s | Hits:  88%/1056  
  🟩 Intel              Pass: 100%/1   | Total:  2m 52s | Avg:  2m 52s | Max:  2m 52s | Hits:  91%/48    
  🔍 MSVC               Pass:  50%/2   | Total: 16m 44s | Avg:  8m 22s | Max:  9m 10s | Hits:  71%/42    
🔍 jobs: Build 🔍
  🔍 Build              Pass:  97%/47  | Total:  1h 52m | Avg:  2m 24s | Max:  9m 10s | Hits:  89%/2202  
  🟩 Test               Pass: 100%/8   | Total: 32m 00s | Avg:  4m 00s | Max:  4m 46s | Hits:  97%/384   
🔍 std: 20 🔍
  🟩 17                 Pass: 100%/31  | Total:  1h 13m | Avg:  2m 21s | Max:  4m 16s | Hits:  90%/1488  
  🔍 20                 Pass:  95%/24  | Total:  1h 11m | Avg:  2m 59s | Max:  9m 10s | Hits:  90%/1098  
🟨 cudacxx_family
  🟨 nvcc               Pass:  98%/55  | Total:  2h 24m | Avg:  2m 38s | Max:  9m 10s | Hits:  90%/2586  
🟨 gpu
  🟨 v100               Pass:  98%/55  | Total:  2h 24m | Avg:  2m 38s | Max:  9m 10s | Hits:  90%/2586  
🟩 sm
  🟩 90                 Pass: 100%/1   | Total:  1m 55s | Avg:  1m 55s | Max:  1m 55s | Hits:  87%/48    
  🟩 90a                Pass: 100%/1   | Total:  2m 09s | Avg:  2m 09s | Max:  2m 09s | Hits:  87%/48

🟩 pycuda: Pass: 100%/1 | Total: 11m 55s | Avg: 11m 55s | Max: 11m 55s

🟩 cpu
  🟩 amd64              Pass: 100%/1   | Total: 11m 55s | Avg: 11m 55s | Max: 11m 55s
🟩 ctk
  🟩 12.5               Pass: 100%/1   | Total: 11m 55s | Avg: 11m 55s | Max: 11m 55s
🟩 cudacxx
  🟩 nvcc12.5           Pass: 100%/1   | Total: 11m 55s | Avg: 11m 55s | Max: 11m 55s
🟩 cudacxx_family
  🟩 nvcc               Pass: 100%/1   | Total: 11m 55s | Avg: 11m 55s | Max: 11m 55s
🟩 cxx
  🟩 GCC13              Pass: 100%/1   | Total: 11m 55s | Avg: 11m 55s | Max: 11m 55s
🟩 cxx_family
  🟩 GCC                Pass: 100%/1   | Total: 11m 55s | Avg: 11m 55s | Max: 11m 55s
🟩 gpu
  🟩 v100               Pass: 100%/1   | Total: 11m 55s | Avg: 11m 55s | Max: 11m 55s
🟩 jobs
  🟩 Test               Pass: 100%/1   | Total: 11m 55s | Avg: 11m 55s | Max: 11m 55s

👃 Inspect Changes

Modifications in project?

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+/-	CUDA Experimental
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Modifications in project or dependencies?

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	libcu++
	CUB
	Thrust
+/-	CUDA Experimental
+/-	pycuda

🏃‍ Runner counts (total jobs: 56)

#	Runner
41	`linux-amd64-cpu16`
9	`linux-amd64-gpu-v100-latest-1`
4	`linux-arm64-cpu16`
2	`windows-amd64-cpu16`

…ion of `std::construct_at`

jrhemstad · 2024-08-02T21:47:22Z

cudax/test/device/device_smoke.cu

+    CUDAX_REQUIRE(0 == cudax::devices.end()[-1].get());
+  }
+
+  try


catch2 has some native machinery for verifying an expression throws a specific exception: https://github.com/catchorg/Catch2/blob/devel/docs/assertions.md#exceptions

github-actions · 2024-08-03T00:53:10Z

🟩 CI finished in 3h 49m: Pass: 100%/56 | Total: 2h 35m | Avg: 2m 46s | Max: 11m 11s | Hits: 91%/2738

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… in the system (NVIDIA#2100) * add `cuda::devices` vector the number of cuda devices can be determined by calling `cuda::devices.size()`. `cuda::devices` is a range of `cuda::device` objects.

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ericniebler changed the title ~~Cudax global devices range~~ [CUDAX] Add a global constexpr cudax::devices range for all devices in the system Jul 29, 2024

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add cuda::devices vector

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the number of cuda devices can be determined by calling `cuda::devices.size()`. `cuda::devices` is a range of `cuda::device` objects.

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[CUDAX] rename device to device_ref, add immovable device as a place to cache properties #2110

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Merge branch 'main' into cudax-global-devices-range

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add cudax::devices.at(n) that throws on out-of-range

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[CUDAX] Add a global constexpr `cudax::devices` range for all devices in the system #2100

[CUDAX] Add a global constexpr `cudax::devices` range for all devices in the system #2100

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[CUDAX] Add a global constexpr cudax::devices range for all devices in the system #2100

[CUDAX] Add a global constexpr cudax::devices range for all devices in the system #2100

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[CUDAX] Add a global constexpr `cudax::devices` range for all devices in the system #2100

[CUDAX] Add a global constexpr `cudax::devices` range for all devices in the system #2100

ericniebler commented Jul 29, 2024 •

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