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Release v0.13.1

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@Giuseppe5 Giuseppe5 released this 25 Aug 09:50
v0.13.1
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Changelog

Highlights

The most important changes since v0.13.0:

  • PyTorch compatibility updates - Brevitas now requires PyTorch 1.13 or later, with fixes for PyTorch 2.8 Dynamo export, PyTorch 2.13+ named-tensor removal, and the FX version guard through PyTorch 2.14. (#1556, #1559, #1565, #1572)
  • QSDPA stability - QuantScaledDotProductAttention now returns finite zero outputs and gradients for fully masked attention rows instead of propagating NaNs. (#1591)
  • Configurable zero-point scaling - ParameterFromStatsFromParameterZeroPoint now accepts scale_shift_zero_point_impl. (#1585)
  • Quantized tensor efficiency and correctness - groupwise quantization metadata is no longer expanded when unused, and quantized-weight merging now matches pointers correctly. (#1590, #1560)
  • Broader dependency compatibility - removed the ONNX Runtime upper bound, restored the filelock test extra, updated CI dependency constraints for PyTorch 2.13, and pinned xxhash for Lighteval. (#1563, #1564, #1571, #1578)
  • Improved CI coverage and maintenance - GitHub Actions are regenerated when workflow sources change; restored or adjusted tests cover example accuracy, asymmetric ONNX Runtime export, Windows CPU precision support, and incompatible torch.compile configurations. (#1557, #1558, #1562, #1575, #1576)

Breaking Changes

  • PyTorch 1.13 is now the minimum supported version. Support for earlier PyTorch versions and their compatibility guards has been removed. (#1556)

All Commits

Features

  • Feat (actions): Regenerate GitHub Actions when workflow sources change (#1558)
  • Feat (core): Add scale_shift_zero_point_impl to ParameterFromStatsFromParameterZeroPoint (#1585)

Fixes

  • Fix (brevitas_examples/custom_trainer): Restore TensorBoard compatibility (#1555)
  • Fix (tests/ort): Fix Dynamo export with PyTorch 2.8 (#1559)
  • Fix (papers/axe): Match the new benchmark structure (#1561)
  • Fix (test): Use a lower default opset version with PyTorch < 2 (#1566)
  • Fix (ex/benchmark): Eliminate folder-creation race conditions (#1567)
  • Fix (fx): Extend the FX version guard through PyTorch 2.14 (#1572)
  • Fix (nn/utils): Correct pointer matching while merging quantized weights (#1560)
  • Fix (nn/graph/test): Avoid unsupported tensor renaming on PyTorch >= 2.13 (#1565)
  • Fix (quant_tensor): Avoid unnecessary groupwise metadata expansion and correct device checks (#1590)
  • Fix (nn): Prevent NaN forward outputs and gradients in QSDPA for fully masked attention rows (#1591)

Setup & Dependencies

  • Setup: Raise the minimum supported PyTorch version to 1.13 and refresh supported PyTorch and Python test matrices (#1556)
  • Fix (deps/test): Add filelock to the test extra (#1571)
  • Fix (ci/deps): Support torch==2.13 in CI and allow setuptools<81 (#1563)
  • Fix (deps): Remove the maximum ONNX Runtime version constraint (#1564)
  • Setup: Pin xxhash for Lighteval compatibility (#1578)

Tests & CI

  • Test (brevitas_examples): Restore the skipped example accuracy test (#1557)
  • Fix (ci): Exclude Python 3.13 with PyTorch 2.5.1 (#1570)
  • Fix (ci): Skip FP16/BF16 CPU tests on Windows CPU runners (#1575)
  • Fix (test/ort): Re-enable asymmetric ONNX Runtime tests (#1576)
  • Fix (tests): Skip incompatible torch.compile tests (#1562)

Documentation

  • Docs: Add v0.13.0 to the documentation version selector (#1553)
  • Docs: Prepare release documentation (#1586)
  • Docs: Correct the Learned Round documentation section (#1588)
  • Docs: Regenerate documentation (#1589)

Full Changelog: v0.13.0...v0.13.1

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