* `tf.lite`
    * Add experimental supports conversion of models that may be larger than 2GB before buffer deduplication

### Bug Fixes and Other Changes

* `tf.py_function` and `tf.numpy_function` can now be used as function decorators for clearer code:
   ```
   @tf.py_function(Tout=tf.float32)
   def my_fun(x):
     print("This always executes eagerly.")
     return x+1
   ```

* `tf.lite`

- Remove --export flag from kubectl get command. ([#88649](https://github.com/kubernetes/kubernetes/pull/88649), [@oke-py](https://github.com/oke-py)) [SIG CLI and Testing]