ARROW-17423: [CI][C++] Fix building CUDA docker images #13896
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cc @assignUser |
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| ARROW_CUDA: "ON" | ||
| ARROW_GANDIVA: "OFF" |
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I assume this is to reduce build times and focus this on CUDA? 👍 Good idea!
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@kkraus14 Would you like to take a quick look? |
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| @@ -54,7 +54,7 @@ UBUNTU=20.04 | |||
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| # Default versions for various dependencies | |||
| CLANG_TOOLS=12 | |||
| CUDA=9.1 | |||
| CUDA=11.4.0 | |||
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It may make sense to pick the oldest supported version here instead of this so that someone doesn't accidentally use a feature introduced in a newer driver version and allow it to slip through CI.
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That would seem to be 11.0.3 for Ubuntu 20.04. Does it make sense @kkraus14 ?
(note that this variable will have to be overriden depending on the Ubuntu version selected, anyway)
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For Ubuntu 20.04 that makes sense, if we could use 18.04 I would suggest going with 10.0 instead.
I would hope that everyone is using a 11.0+ driver today though.
* Update the CUDA runtime version as CUDA 9.1 images are not available anymore * Fix passing child command arguments to "docker run" Checked locally under a Ubuntu 20.04 host with: ``` UBUNTU=18.04 archery --debug docker run ubuntu-cuda-cpp UBUNTU=20.04 archery --debug docker run ubuntu-cuda-cpp ```
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Benchmark runs are scheduled for baseline = 050876c and contender = f6127fc. f6127fc is a master commit associated with this PR. Results will be available as each benchmark for each run completes. |
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['Python', 'R'] benchmarks have high level of regressions. |
* Update the CUDA runtime version as CUDA 9.1 images are not available anymore * Fix passing child command arguments to "docker run" Checked locally under a Ubuntu 20.04 host with: ``` UBUNTU=18.04 archery --debug docker run ubuntu-cuda-cpp UBUNTU=20.04 archery --debug docker run ubuntu-cuda-cpp ``` Authored-by: Antoine Pitrou <antoine@python.org> Signed-off-by: Antoine Pitrou <antoine@python.org>
Checked locally under a Ubuntu 20.04 host with: