replaced with by writing regular Python functions. Using the `tf.function`
    decorator, such functions can be turned into graphs which can be executed
    remotely, serialized, and optimized for performance.
*   Unification of `tf.train.Optimizers` and `tf.keras.Optimizers`. Use
    `tf.keras.Optimizers` for TF2.0. `compute_gradients` is removed as public

- Ipvs: only attempt setting of sysctlconnreuse on supported kernels ([#88541](https://github.com/kubernetes/kubernetes/pull/88541), [@cmluciano](https://github.com/cmluciano)) [SIG Network]
- Jsonpath support in kubectl / client-go serializes complex types (maps / slices / structs) as json instead of Go-syntax. ([#89660](https://github.com/kubernetes/kubernetes/pull/89660), [@pjferrell](https://github.com/pjferrell)) [SIG API Machinery, CLI and Cluster Lifecycle]