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v1.2.0

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@minamikik minamikik released this 27 Oct 02:46
· 5 commits to main since this release
v1.2.0
c76e8be

Changes

  • cubin_sm, inspect_bundle, and inspect_wheel now read cubins built by ptxas 13.x. ptxas 13.x writes ELF ABI version 8, which stores the SM number in a different field of the ELF flags. Tensoracle reads the field that matches the ABI version and accepts sm86, sm89, and sm120 for both ABI version 7 and ABI version 8. Version 1.1.0 rejects ptxas 13.x cubins for sm86 and sm89 with CubinArchitectureError.
  • compile_bundle takes ptxas and cuobjdump from the host CUDA toolkit when their paths are not given: $CUDA_HOME/bin, or /usr/local/cuda/bin when CUDA_HOME is unset. If either tool is missing, it raises FileNotFoundError with the paths it searched. It requires ptxas 13.2 or later and earlier than 14, and raises ValueError before writing cubins or the manifest when the ptxas version is outside that range. Explicit tool paths are still accepted.
  • The producer extra now declares only triton==3.8.0. It no longer installs NVIDIA command line tool wheels.
  • The example cubin bundle is rebuilt with Triton 3.8.0 and ptxas 13.2.86.

Upgrade note

The public API, saved engine file format, cache identity, and runtime dependencies are unchanged from 1.1.0. Engines saved by 1.1.0 are reused without a rebuild.

Applications that build cubins with the producer extra need a CUDA toolkit whose ptxas is 13.2 or later and earlier than 14. Set CUDA_HOME to that toolkit or install it at /usr/local/cuda. Applications that only load and run cubins do not need the toolkit. The CUDA driver must be new enough to load cubins built by the ptxas version in use.

Install

pip install tensoracle==1.2.0
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