### 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]

## Major Features And Improvements

*   `tf.keras` is now part of the core TensorFlow API.
*   [`tf.data`](https://tensorflow.org/guide/data) is now part of the core
    TensorFlow API.
    *   The API is now subject to backwards compatibility guarantees.
    *   For a guide to migrating from the `tf.contrib.data` API, see the
        [README](https://github.com/tensorflow/tensorflow/blob/r1.4/tensorflow/contrib/data/README.md).

This was designed this way mainly to allow using the same objects "yielded" by dependencies inside of background tasks, because the exit code would be executed after the background tasks were finished.

2100          ; disallowed_STD3_mapped ; 0061 002F 0063 #1.1  ACCOUNT OF
2101          ; disallowed_STD3_mapped ; 0061 002F 0073 #1.1  ADDRESSED TO THE SUBJECT
2102          ; mapped                 ; 0063          # 1.1  DOUBLE-STRUCK CAPITAL C
2103          ; mapped                 ; 00B0 0063     # 1.1  DEGREE CELSIUS

v.points[0].FromP3(q) tmpP3 := Point{} tmpP1xP1 := projP1xP1{} for i := 0; i < 7; i++ { // Compute (i+1)*Q as Q + i*Q and convert to a projCached // This is needlessly complicated because the API has explicit // receivers instead of creating stack objects and relying on RVO v.points[i+1].FromP3(tmpP3.fromP1xP1(tmpP1xP1.Add(q, &v.points[i]))) } } // This is not optimised for speed; fixed-base tables should be precomputed. func (v *affineLookupTable) FromP3(q *Point) { // Goal: v.points[i] = (i+1)*Q,...