* Add external link [Machine learning model serving in Python using FastAPI and Streamlit](https://davidefiocco.github.io/2020/06/27/streamlit-fastapi-ml-serving.html) to docs. PR [#1669](https://github.com/tiangolo/fastapi/pull/1669) by [@davidefiocco](https://github.com/davidefiocco).

#define IN_LEN R9 #define COUNTER R10 #define CONPTR R14 #define MASK V5 // Implementation of the counterCrypt function in assembler. // Original loop is unrolled to allow for multiple encryption // streams to be done in parallel, which is achieved by interleaving // vcipher instructions from each stream. This is also referred to as // stitching, and provides significant performance improvements. // Some macros are defined which enable execution for big or little // endian as well as different ISA...

- Kube-apiserver: multiple comma-separated protocols in a single X-Stream-Protocol-Version header are now recognized, in addition to multiple headers, complying with RFC2616 ([#89857](https://github.com/kubernetes/kubernetes/pull/89857), [@tedyu](https://github.com/tedyu)) [SIG API Machinery]

        now allowed (except for
        `tf.distribute.experimental.CentralStorageStrategy` and
        `tf.distribute.experimental.ParameterServerStrategy`). Different
        replicas will get different random-number streams.
*   TPU embedding support
    *   Added `profile_data_directory` to `EmbeddingConfigSpec` in
        `_tpu_estimator_embedding.py`. This allows embedding lookup statistics