- Restore the ability to `kubectl apply --prune` without --namespace flag.  Since 1.17, `kubectl apply --prune` only prunes resources in the default namespace (or from kubeconfig) or explicitly specified in command line flag.  But this is s breaking change from kubectl 1.16, which can prune resources in all namespace in config file.  This patch restores the kubectl 1.16 behaviour. ([#89551](https://github.com/kube...

        layers and happens to work before TF 2.4. These will explicitly be
        unsupported now. Converting these ops to Functional API op layers was
        unreliable before TF 2.4, and prone to erroring incomprehensibly or
        being silently buggy.
    *   Code that directly asserts on a Keras symbolic value in cases where ops
        like `tf.rank` used to return a static or symbolic value depending on if