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  2. github.com/tensorflow/tensorflow

    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.
    Created: Tue Apr 07 12:39:13 GMT 2026
    - Last Modified: Mon Mar 30 18:31:38 GMT 2026
    - 746.5K bytes
    - Click Count (3)
  3. github.com/kubernetes/kubernetes

    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)
    Created: Fri Apr 03 09:05:14 GMT 2026
    - Last Modified: Wed Jan 05 05:42:32 GMT 2022
    - 489.7K bytes
    - Click Count (0)
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