- github.com/golang/mock: [v1.3.1 → v1.1.1](https://github.com/golang/mock/compare/v1.3.1...v1.1.1)
- github.com/google/cadvisor: [v0.49.0 → v0.51.0](https://github.com/google/cadvisor/compare/v0.49.0...v0.51.0)
- github.com/google/cel-go: [v0.20.1 → v0.22.0](https://github.com/google/cel-go/compare/v0.20.1...v0.22.0)

- github.com/google/btree: [v1.0.1 → v1.1.3](https://github.com/google/btree/compare/v1.0.1...v1.1.3)
- github.com/google/cadvisor: [v0.51.0 → v0.52.1](https://github.com/google/cadvisor/compare/v0.51.0...v0.52.1)
- github.com/google/cel-go: [v0.22.0 → v0.23.2](https://github.com/google/cel-go/compare/v0.22.0...v0.23.2)

- Kubelet/stats: set INFO log level for stats not found in cadvisor memory cache error. ([#125656](https://github.com/kubernetes/kubernetes/pull/125656), [@gyuho](https://github.com/gyuho))

### Security fixes

* ⬆️ Upgrade minimum version of `python-multipart` to `>=0.0.7` to fix a vulnerability when using form data with a ReDos attack. You can also simply upgrade `python-multipart`.

Read more in the [advisory: Content-Type Header ReDoS](https://github.com/tiangolo/fastapi/security/advisories/GHSA-qf9m-vfgh-m389).

### Features

    `tensorflow::tstring` which is now ABI stable.
*   A new Profiler for TF 2 for CPU/GPU/TPU. It offers both device and host
    performance analysis, including input pipeline and TF Ops. Optimization
    advisory is provided whenever possible. Please see
    [this tutorial](https://www.tensorflow.org/tensorboard/tensorboard_profiling_keras)
    and [guide](https://www.tensorflow.org/guide/profiler) for usage guidelines.