*   RNG behavior change for `tf.keras.initializers`. Keras initializers will now
    use stateless random ops to generate random numbers.
    *   Both seeded and unseeded initializers will always generate the same
        values every time they are called (for a given variable shape). For
        unseeded initializers (`seed=None`), a random seed will be created and
        assigned at initializer creation (different initializer instances get

- Fixed bug where a nonzero exit code was returned when initializing zsh completion even though zsh completion was successfully initialized ([#88165](https://github.com/kubernetes/kubernetes/pull/88165), [@brianpursley](https://github.com/brianpursley)) [SIG CLI]