Version 0.26.0

December 16, 2020 ยท View on GitHub

Major Features and Improvements

  • Initial support added of >2D SparseTensors as inputs and outputs of the preprocessing_fn. Note that mappers and analyzers may not support those yet, and output >2D SparseTensors will have an unkonwn dense shape.

Bug Fixes and Other Changes

  • Switched to calling tables and initializers within tf.init_scope when the preprocessing_fn is traced using tf.function to avoid re-initializing them on every invocation of the traced tf.function.
  • Switched to a (notably) faster and more accurate implementation of tft.quantiles analyzer.
  • Fix an issue where graphs become non-hermetic if a TF2 transform_fn is loaded in a TF1 Graph context, by making sure all assets are added to the ASSET_FILEPATHS collection.
  • Depends on apache-beam[gcp]>=2.25,!=2.26.*,<3.
  • Depends on pyarrow>=0.17,<0.18.
  • Depends on tensorflow>=1.15.2,!=2.0.*,!=2.1.*,!=2.2.*,<2.4.
  • Depends on tensorflow-metadata>=0.26.0,<0.27.0.
  • Depends on tfx-bsl>=0.26.0,<0.27.0.

Breaking changes

  • Existing tft.quantiles, tft.min and tft.max caches are invalidated.

Deprecations

  • Parameter always_return_num_quantiles of tft.quantiles and tft.bucketize is now deprecated. Both now always generate the requested number of buckets. Setting always_return_num_quantiles will have no effect and it will be removed in the next version.