ing/config) feature allows you to tune the algorithms and other settings of the kube-scheduler. You can easily enable or disable specific functionality (contained in plugins) in selected scheduling phases without having to rewrite the rest of the configuration. Furthermore, a single kube-scheduler instance can serve different configurations, called profiles. Pods can select the profile they want to be scheduled under via the `.spec.schedulerName` field.

### CSI Migration - AzureDisk...

*   Added warmup capabilities to `tf.keras.optimizers.schedules.CosineDecay` learning rate scheduler. You can now specify an initial and target learning rate, and our scheduler will perform a linear interpolation between the two after which it will begin a decay phase.