Add CUDA 12.9 Build Variants#489
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…d conda-forge-pinning 2026.05.12.12.28.02
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Hi! This is the friendly automated conda-forge-linting service. I just wanted to let you know that I linted all conda-recipes in your PR ( |
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Note aarch64 and osx_64 are already broken on main - the working builds all pass. |
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Can you confirm that you've tested this locally? i've had to revert the cuda 12.9 build in the past. |
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Ah, good question then... Last night I built
I then created an environment just with that - solving to: After that I ran a MNIST training test. In nvidia-smi I observed expected GPU utilization, and the test trained successfully. I also spot-checked a few basic tensor arithmetic operations and the values were correct. This was all carried out in WSL on my @hmaarrfk please let me know if you think any additional testing or info would be helpful! |
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I"m a little scared of the backport to be honest. I would somewhat rather updating the version of tensorflow (though that is very hard i agree). Without a full elaborate test, i'm affraid to see similar failures that me revert the addition before. |
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and i somewhat don't trust WSL. If an other maintainer wants to merge, that might be helpful |
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That's fine - though I'm not sure I'm tracking what's a "backport" etc. All that Google reports testing for TF 2.18.0 through 2.21.0 is CUDA 12.5, so anything other than that seems risky. I'm also not aware of official plans by Google to support CUDA 13.0. If there's specific testing you can point me to I can try that. I'm trying to run the TensorFlow test suite now. My only goal is to get recent TensorFlow + Jax + CUDA in a single environment, so it would also work to add CUDA 12.8 builds to Jax - I figured adding older CUDA versions would be less welcome. If the intent is to get the whole conda-forge ecosystem on CUDA 13 in the next few months that could be fine too. From the communications I can see it didn't look like that was any more promising for TensorFlow than 12.9 (I would assume the major version bump would be even more challenging). |
Re-rendered with conda-smithy 3.61.2 and conda-forge-pinning 2026.05.12.12.28.02
Checklist
conda-smithy(Use the phrase@conda-forge-admin, please rerenderin a comment in this PR for automated rerendering)Closes #487