What’s Changed
New Features
- Added support for row-slicing as a parallel strategy
- Added support for data-parallel as a parallel strategy
- Allow mix-matching data-parallel, table-parallel, row-slicing, and column-slicing. Refer to User Guide for more details.
- Added IntegerLookup layer that supports on-the-fly vocabulary building, on both CPU and GPU
Breaking Changes
- Added NVIDIA cuCollections as submodule for GPU hash map support
- Now support TensorFlow 2.12. Note that this change breaks the build with TF 2.09 and earlier.
Improvements
- Improved package import
Bug Fixes
- fixes input offset overflow due to automatic table concatenating
- fixes potential graph mismatching problems in broadcast
Full Changelog: v23.03.00...v23.06.00