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@traversaro traversaro commented Oct 27, 2025

Quoting from: conda-forge/tensorflow-feedstock#457

The reason for this rebuild is that cuDNN 9.11+ dropped device code for pre-Turing devices (this is ABI breaking). Conda currently has no direct mechanism for detecting available CUDA architectures and so pre-Turing users will experience segmentation faults at runtime if they try to load cuDNN 9.11+. Therefore to continue to support all hardware that is supported by the CUDA 12.x toolchain, a rebuild with cuDNN 9.10 is necessary for CUDA 12.x build. CUDA 13.x is unaffected since it does not support pre-Turing hardware.

Fix #329 .

Checklist

  • Used a personal fork of the feedstock to propose changes
  • Bumped the build number (if the version is unchanged)
  • Reset the build number to 0 (if the version changed)
  • Re-rendered with the latest conda-smithy (Use the phrase @conda-forge-admin, please rerender in a comment in this PR for automated rerendering)
  • Ensured the license file is being packaged.

@traversaro
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@conda-forge-admin please rerender

@traversaro
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@conda-forge-admin, please rerender

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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 (recipe/recipe.yaml) and found it was in an excellent condition.

conda-forge-webservices[bot] and others added 2 commits October 27, 2025 14:28
@h-vetinari
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Thanks for your help on this @traversaro; in the end I though it's better to do this via the migrator PR, c.f. #331. Hope this is fixed now 🤞

@h-vetinari h-vetinari closed this Nov 5, 2025
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CuDNN initialization fails due to version mismatch

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