*   `tf.debugging`
    *   Add `tf.debugging.enable_check_numerics()` and
        `tf.debugging.disable_check_numerics()` to help debugging the root
        causes of issues involving infinities and `NaN`s.
*   `tf.distribute`
    *   Custom training loop support on TPUs and TPU pods is available through
        `strategy.experimental_distribute_dataset`,

- Fixed node data lost in kube-scheduler for clusters with imbalance on number of nodes across zones ([#93355](https://github.com/kubernetes/kubernetes/pull/93355), [@maelk](https://github.com/maelk))
- Fixed several bugs involving the IPFamily field when creating or updating services
  in clusters with the IPv6DualStack feature gate enabled.
  
  Beware that the behavior of the IPFamily field is strange and inconsistent and will