- github.com/envoyproxy/protoc-gen-validate: [v1.2.1 → v1.3.0](https://github.com/envoyproxy/protoc-gen-validate/compare/v1.2.1...v1.3.0)
- github.com/google/cadvisor: [v0.56.0 → v0.56.2](https://github.com/google/cadvisor/compare/v0.56.0...v0.56.2)
- github.com/google/pprof: [27863c8 → 294ebfa](https://github.com/google/pprof/compare/27863c8...294ebfa)

- github.com/go-logr/logr: [v1.4.2 → v1.4.3](https://github.com/go-logr/logr/compare/v1.4.2...v1.4.3)
- github.com/google/cadvisor: [v0.52.1 → v0.53.0](https://github.com/google/cadvisor/compare/v0.52.1...v0.53.0)
- github.com/google/pprof: [d1b30fe → 27863c8](https://github.com/google/pprof/compare/d1b30fe...27863c8)

- 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)

            throw IOException("PROTOCOL_ERROR SETTINGS_MAX_FRAME_SIZE: $value")
          }
        }

        // SETTINGS_MAX_HEADER_LIST_SIZE
        6 -> { // Advisory only, so ignored.
        }

        // Must ignore setting with unknown id.
        else -> {
        }
      }
      settings[id] = value
    }
    handler.settings(false, settings)
  }

### 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.