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v1.0.1

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@minamikik minamikik released this 18 Oct 15:34
· 4 commits to main since this release
v1.0.1
7107f92

Changes

  • The package metadata now declares Development Status :: 5 - Production/Stable.
  • The README lists the GPU properties in the saved engine identity: the product name, compute capability, memory bus width, L2 cache size, shared memory limits, texture alignment, multiprocessor count, whether the GPU is integrated, ECC mode, and total memory of the current CUDA context's device (or device 0). Another device with the same properties reuses the saved engine.
  • The optimization workflow applies the stage 3 quality gate to every lower precision engine (fp16, bf16, int8, and fp8).
  • The API reference includes ShapeTensorOutputWarning.
  • The cubin plugin example names the Windows plugin DLL for inspect_wheel, and the README states that the bundle manifest records the Triton and ptxas versions and each kernel's source SHA-256.

Upgrade note

The code, public API, saved engine file format, cache identity, and dependencies are unchanged from 1.0.0. Engines saved by 1.0.0 are reused without a rebuild.

Install

pip install tensoracle==1.0.1
Assets 4
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