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TensorFlow Lattice 2.0.5

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@mmilanifard mmilanifard released this 15 Jun 23:12
· 38 commits to master since this release
v2.0.5
2f2cf33

Changes:

  • Simplex interpolation support for lattices: O(d log(d)) simplex interpolation compared to O(2^d) hypercube interpolation is 2-10x faster with similar or improved training loss.
  • RTL layer performance optimization: 2-3x faster and scales much better with wider and deeper models with tens of thousands of lattices.
  • Optimization of 2^D hypercube lattices: 10-15% speedup.
  • PWL Calibration Sonnet Module (more to come in follow up releases)
  • New aggregation function tutorial
  • Linear combination support for canned ensemble models.
  • Improvement and bug fixes for save/load functionality
  • Bug fixes

PyPI release:

  • Generic package for py2/py3 that should work for TF 1.15 or TF 2.x.
Assets 2