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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 ( I do have some suggestions for making it better though... For recipe/meta.yaml:
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…nda-forge-pinning 2025.02.16.04.28.19
recipe/build.sh
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| # https://github.com/tensorflow/tensorflow/pull/86413#issuecomment-2648797177 | ||
| # Disable the use of HERMETIC_CUDA | ||
| echo "build --config=cuda_wheel" >> .bazelrc |
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This is really the only meaningful change I made. The rest was untabbing.
| exit 1 | ||
| export TF_CUDA_COMPUTE_CAPABILITIES=sm_35,sm_50,sm_60,sm_62,sm_70,sm_72,sm_75,sm_80,sm_86,sm_87,sm_89,sm_90,compute_90 | ||
| export TF_CUDA_PATHS="${PREFIX},${CUDA_HOME}" | ||
| # export HERMETIC_CUDA_COMPUTE_CAPABILITIES=sm_60,sm_70,sm_75,sm_80,sm_86,sm_89,sm_90,compute_90 |
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Removing this will cause configure to hang:
https://github.com/tensorflow/tensorflow/blob/6550e4bd80223cdb8be6c3afd1f81e86a4d433c3/configure.py#L994-L999
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Are you knowledgeable enough to explain why to upstream? They think we don’t see the hermetic pathway.
Upstream suggests to not use hermetic cuda
tensorflow/tensorflow#86413 (comment)
Checklist
0(if the version changed)conda-smithy(Use the phrase@conda-forge-admin, please rerenderin a comment in this PR for automated rerendering)