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use CUDA 13 for third-party integration tests #20748
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/ok to test |
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I think this is working... the Other failures look like network or Anaconda infrastructure issues, which would hopefully be resolved with a re-run:
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I've had #19948 open for a while on this but was stalled waiting for Pytorch. In the interim (last week) we merged #20729, which means that we now accept installing CPU pytorch since we then just skip those tests. @Matt711 you pretty much said you're fine with this outcome, right? Like @bdice said, there's some risk of us just not noticing happening, but I agree that it's a net benefit overall. |
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@jameslamb This should be good to merge once the temporary channel changes are removed. Thanks for testing that!
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Ah thanks @vyasr , sorry I missed that already-open PR. I've removed the other testing bits from this, it should be ready now. |
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/merge |
Description
Contributes to rapidsai/build-planning#208
Reverts #19903 and #19917
Now that there are
xgboostconda packages with CUDA 13 support (rapidsai/xgboost-feedstock#100), switches thethird-party-integration-tests-cudf-pandasto use CUDA 13.This also switches to the more generic CI Image tags (
rapidsai/26.02-latest), so that configuration doesn't need to be updated as RAPIDS adds support for new minor versions of CUDA.Checklist