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TensorFlow Lattice 2.0.7
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@wbakst wbakst released this 14 Dec 23:44
· 34 commits to master since this release
v2.0.7
652ff74

Changes:

  • (experimental) KroneckerFactoredLattice initialization now sorts on kernel axis 1 such that we sort each term individually.
  • (experimental) KroneckerFactoredLattice initialization defaults to [0.5, 1.5] instead of [0,1].
  • (experimental) KroneckerFactoredLattice custom_reduce_prod in interpolation for faster gradient computations.
  • Update bound and trust projection algorithms to compute violations for each unit separately.
  • 'loss_fn' option for estimators to use custom loss without having to define a custom head.
  • Enable calibrators to return a list of outputs per unit.
  • Enable RTL layer to return non-averaged outputs.
  • General tutorial/code cleanup
  • Typo fixes
  • Bug fixes

PyPI Release:

  • Generic package for py3 that should work for TF 1.15 or TF 2.x.
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