`tf.compat.v1.image.extract_glimpse` does not change. The behavior of
    existing C++ kernel `ExtractGlimpse` does not change either, so saved models
    using `tf.raw_ops.ExtractGlimpse` will not be impacted.

## Known Caveats

*   `tf.lite`
    *   Keras-based LSTM models must be converted with an explicit batch size in
        the input layer.

## Bug Fixes and Other Changes

unschedulable from the candidate nodes. The service load balancer exclusion label should be used instead.
  
  Users upgrading from 1.18 who have cordoned nodes should set the `node.kubernetes.io/exclude-from-external-load-balancers` label on the impacted nodes before upgrading if they wish those nodes to remain excluded from service load balancers. ([#90823](https://github.com/kubernetes/kubernetes/pull/90823), [@smarterclayton](https://github.com/smarterclayton)) [SIG Apps, Cloud Provider and Network]...