`tensorflow` pip package has a new, optional installation method for Linux that installs necessary Nvidia CUDA libraries through pip. As long as the Nvidia driver is already installed on the system, you may now run `pip install tensorflow[and-cuda]` to install TensorFlow's Nvidia CUDA library dependencies in the Python environment. Aside from the Nvidia driver, no other pre-existing Nvidia CUDA packages are necessary.

*   Enable JIT-compiled i64-indexed kernels on GPU for large tensors with...

- Avoid unnecessary GCE API calls when adding IP alises or reflecting them in Node object in GCE cloud provider. ([#90242](https://github.com/kubernetes/kubernetes/pull/90242), [@wojtek-t](https://github.com/wojtek-t)) [SIG Apps, Cloud Provider and Network]

were changed to be consistent with Go function // names. For instance, function aes_p8_set_{en,de}crypt_key become // set{En,De}cryptKeyAsm. I also split setEncryptKeyAsm in two parts // and a new session was created (doEncryptKeyAsm). This was necessary to // avoid arguments overwriting when setDecryptKeyAsm calls setEncryptKeyAsm. // There were other modifications as well but kept the same functionality. #include "textflag.h" // For expandKeyAsm #define INP R3 #define BITS R4 #define OUTENC R5...

* ⬆ Bump mkdocs-material from 9.1.16 to 9.1.17. PR [#9746](https://github.com/tiangolo/fastapi/pull/9746) by [@dependabot[bot]](https://github.com/apps/dependabot).
* 🔥 Remove missing translation dummy pages, no longer necessary. PR [#9751](https://github.com/tiangolo/fastapi/pull/9751) by [@tiangolo](https://github.com/tiangolo).