- For statically provisioned PVs ensure that we use canonical path whenever possible for attach/detach ([#104485](https://github.com/kubernetes/kubernetes/pull/104485), [@gnufied](https://github.com/gnufied)) [SIG Cloud Provider and Storage]

    `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.

+ b = a * 19 + b) to // reduce the limbs that would overflow 255 bits. r5 * 2²⁵⁵ becomes 19 * r5, // r6 * 2³⁰⁶ becomes 19 * r6 * 2⁵¹, etc. // // Reduction can be carried out simultaneously to multiplication. For // example, we do not compute r5: whenever the result of a multiplication // belongs to r5, like a1b4, we multiply it by 19 and add the result to r0. // // a4b0 a3b0 a2b0 a1b0 a0b0 + // a3b1 a2b1 a1b1 a0b1 19×a4b1 + // a2b2 a1b2 a0b2 19×a4b2 19×a3b2 + // a1b3 a0b3 19×a4b3 19×a3b3 19×a2b3...

+ b = a * 19 + b) to // reduce the limbs that would overflow 255 bits. r5 * 2²⁵⁵ becomes 19 * r5, // r6 * 2³⁰⁶ becomes 19 * r6 * 2⁵¹, etc. // // Reduction can be carried out simultaneously to multiplication. For // example, we do not compute r5: whenever the result of a multiplication // belongs to r5, like a1b4, we multiply it by 19 and add the result to r0. // // a4b0 a3b0 a2b0 a1b0 a0b0 + // a3b1 a2b1 a1b1 a0b1 19×a4b1 + // a2b2 a1b2 a0b2 19×a4b2 19×a3b2 + // a1b3 a0b3 19×a4b3 19×a3b3 19×a2b3...

    * **Technical Details**:
        * When declaring a `response_model` it is used directly to generate the response content, from whatever was returned from the *path operation function*.