provided TensorFlow Lite custom op libraries via
        `converter.target_spec._experimental_custom_op_registerers`. used in
        Python Interpreter API.

*   TF Core:

    *   Corrected higher-order gradients of control flow constructs (`tf.cond`,
        `tf.while_loop`, and compositions like `tf.foldl`) computed with
        `tf.GradientTape` inside a `tf.function`.

- Corrected the documentation to clarify that `podSelector` is optional and described its default behavior. ([#131354](https://github.com/kubernetes/kubernetes/pull/131354), [@tomoish](https://github.com/tomoish))

covered work so as to satisfy simultaneously your obligations under this
License and any other pertinent obligations, then as a consequence you may
not convey it at all.  For example, if you agree to terms that obligate you
to collect a royalty for further conveying from those to whom you convey
the Program, the only way you could satisfy both those terms and this
License would be to refrain entirely from conveying the Program.

- Protobuf serialization of metav1.MicroTime timestamps (used in `Lease` and `Event` API objects) has been corrected to truncate to microsecond precision, to match the documented behavior and JSON/YAML serialization. Any existing persisted data is truncated to microsecond when read from etcd. ([#111936](https://github.com/kubernetes/kubernetes/pull/111936), [@...

## Changes by Kind

### API Change