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v0.2

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@FDecaYed FDecaYed released this 09 Feb 08:06
· 35 commits to main since this release

What’s Changed

Breaking Changes

New Features

  • SparseTensor is supported as embedding input, in addition to Dense and Ragged Tensor.
  • Add support and example for keras model.fit() api through custom train_step() function

Improvements

  • Improved embedding lookup speed when input is multi-hot with combiner.
  • Improved embedding lookup speed when input is one-hot, regardless of its combiner and format(Tensor, SparseTensor or RaggedTensor)
  • Add support for data parallel input, cpu embedding and TF native embedding api as options in benchmark

Bug Fixes

  • fix build with tensorflow 2.10+
  • fix a bug where batch dimension could be None at early stage in graph mode

Full Changelog: v0.1...v0.2