compatibility with GPU delegate.

*   Extension Types

    *   Add experimental API to define new Python classes that can be handled by
        TensorFlow APIs. To create an extension type, simply define a Python
        class with `tf.experimental.ExtensionType` as its base, and use type
        annotations to specify the type for each field. E.g.: `python class

- Kubeadm: relax the validation of kubeconfig server URLs. Allow the user to define custom kubeconfig server URLs without erroring out during validation of existing kubeconfig files (e.g. when using external CA mode). ([#94816](https://github.com/kubernetes/kubernetes/pull/94816), [@neolit123](https://github.com/neolit123)) [SIG...