`tf.keras.layers.EinsumDense`.
    *   Added `tf.keras.utils.audio_dataset_from_directory` utility to easily
        generate audio classification datasets from directories of `.wav` files.
    *   Added `subset="both"` support in
        `tf.keras.utils.image_dataset_from_directory`,`tf.keras.utils.text_dataset_from_directory`,
        and `audio_dataset_from_directory`, to be used with the

- Avoid marking node as Ready until node has synced with API servers at least once ([#97996](https://github.com/kubernetes/kubernetes/pull/97996), [@ehashman](https://github.com/ehashman)) [SIG Node]
- Cleanup subnet in frontend IP configs to prevent huge subnet request bodies in some scenarios. ([#98288](https://github.com/kubernetes/kubernetes/pull/98288), [@nilo19](https://github.com/nilo19)) [SIG Cloud Provider]

    * This helps to more easily solve use cases like:
        * Reading a body before and/or after a request (equivalent to a middleware).
        * Run middleware-like code only for a subset of *path operations*.
        * Process a request before passing it to a *path operation function*. E.g. decompressing, deserializing, etc.