Releases: Rishit-dagli/Gradient-Centralization-TensorFlow
Releases · Rishit-dagli/Gradient-Centralization-TensorFlow
gradient-centralization-tf 0.0.3
This release includes some fixes and improvements
✅ Bug Fixes / Improvements
- Allow wider versions for TensorFlow and Keras while installing the package (#14 )
- Fixed incorrect usage example in docstrings and description for
centralized_gradients_for_optimizer
(#13 ) - Add clear aims for each of the examples of using
gctf
(#15 ) - Updates PyPi classifiers to clearly show the aims of this project. This should have no changes in the way you use this package (#18 )
- Add clear instructions for using this with custom optimizers i.e. directly use
get_centralized_gradients
however a complete example has not been pushed due to the reasons mentioned in the issue (#16 )
gradient-centralization-tf 0.0.2
This release includes some fixes and improvements
✅ Bug Fixes / Improvements
- Fix the issue of supporting multiple modules
- Fix multiple typos.
gradient-centralization-tf 0.0.1
This is the initial version of the Gradient-Centralization-TensorFlow package.
Features:
- Implement Gradient centralization for optimizers using
tf.keras.optimizer.Optimizers
base class - Supports custom optimizers
- Pre-built optimizers implementing GC for testing purposes.
Thanks, @ialimustufa for his contributions to this package.