*   `tf.data`
    * Support `data.experimental.distribued_save`. `distribued_save` uses tf.data service (https://www.tensorflow.org/api_docs/python/tf/data/experimental/service) to write distributed dataset snapshots. The call is non-blocking and returns without waiting for the snapshot to finish. Setting `wait=True` to `tf.data.Dataset.load` allows the snapshots to be read while they are being written.

### Bug Fixes and Other Changes

* GPU

- Fix JobTrackingWithFinalizers that:
  - was declaring a job finished before counting all the created pods in the status
  - was leaving pods with finalizers, blocking pod and job deletions
  
  JobTrackingWithFinalizers is still disabled by default. ([#109486](https://github.com/kubernetes/kubernetes/pull/109486), [@alculquicondor](https://github.com/alculquicondor)) [SIG Apps and Testing]

### Bug or Regression

- Fix JobTrackingWithFinalizers that:
  - was declaring a job finished before counting all the created pods in the status
  - was leaving pods with finalizers, blocking pod and job deletions
  
  JobTrackingWithFinalizers is still disabled by default. ([#109486](https://github.com/kubernetes/kubernetes/pull/109486), [@alculquicondor](https://github.com/alculquicondor)) [SIG Apps and Testing]

## 0.47.1 (2020-01-18)

* Fix model filtering in `response_model`, cloning sub-models. PR [#889](https://github.com/tiangolo/fastapi/pull/889).
* Fix FastAPI serialization of Pydantic models using ORM mode blocking the event loop. PR [#888](https://github.com/tiangolo/fastapi/pull/888).

## 0.47.0 (2020-01-18)