* `tf.tpu.experimental.embedding.TPUEmbeddingV2`
    * Add `compute_sparse_core_stats` for sparse core users to profile the  data with this API to get the `max_ids` and `max_unique_ids`. These numbers will be needed to configure the sparse core embedding mid level api.
    * Remove the `preprocess_features` method since that's no longer needed.

## Thanks to our Contributors

* ✅ Test order for the submitted byte Files. PR [#14828](https://github.com/fastapi/fastapi/pull/14828) by [@valentinDruzhinin](https://github.com/valentinDruzhinin).
* 🔧 Configure `test` workflow to run tests with `inline-snapshot=review`. PR [#14876](https://github.com/fastapi/fastapi/pull/14876) by [@YuriiMotov](https://github.com/YuriiMotov).

## 0.128.6 (2026-02-09)

### Fixes

### Feature

- AWS cloudprovider supports auto-discovering subnets without any kubernetes.io/cluster/<clusterName> tags. It also supports additional service annotation service.beta.kubernetes.io/aws-load-balancer-subnets to manually configure the subnets. ([#97431](https://github.com/kubernetes/kubernetes/pull/97431), [@kishorj](https://github.com/kishorj)) [SIG Cloud Provider]