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RELEASE.md
* Added support for `class_weight` for 3+ dimensional targets (e.g. image segmentation masks) in `Model.fit`. * Added a new loss, `keras.losses.CategoricalFocalCrossentropy`. * Remove the `tf.keras.dtensor.experimental.layout_map_scope()`. You can user the `tf.keras.dtensor.experimental.LayoutMap.scope()` instead.
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CHANGELOG/CHANGELOG-1.19.md
- Reverted the previous fix for portforward cleanup because it introduced a kubelet regression which can lead into segmentation faults. ([#102588](https://github.com/kubernetes/kubernetes/pull/102588), [@saschagrunert](https://github.com/saschagrunert)) [SIG API Machinery and Node] ### Other (Cleanup or Flake)
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