Missing Window GPU prebuilt binary for 2.11.0
Hi @adamcrume, 
As per the official Tensorflow GitHub page, the `Libtensorflow Windows GPU` is temporarily unavailable. Kindly check this [reference](https://github.com/tensorflow/tensorflow/blob/90fda24ac68fffb9d6c3ca8db0268d47b6404735/README.md#official-builds). Thank you!  That's... what I said? Hi,

We don't support GPU on native Windows since TF 2.10. You can download the binaries for TF 2.10.0 from https://www.tensorflow.org/install/lang_c.  https://github.com/tensorflow/tensorflow/blob/90fda24ac68fffb9d6c3ca8db0268d47b6404735/README.md#official-builds just says "Status Temporarily Unavailable", nothing about it being permanently removed.  Dropping GPU support on Windows wasn't widely announced.  I see https://github.com/tensorflow/tensorflow/releases/tag/v2.11.0 says "For using TensorFlow GPU on Windows, you will need to install TensorFlow in WSL2", but that's not even listed under Breaking Changes (which this definitely is!). I am very disappointed and sad that native windows support was just dropped. Replacing it with wsl2 is not sufficient for processes and systems that don't have the ability to use wsl2 because, for example, they are also windows-native applications and porting is too expensive. So we can only use version 2.10 (of both the python and the C-API) and are stuck with it, which is a shame because we can't benefit from and participate in new developments.

**All this leads to simply excluding and virtually discriminating against a large part of the Tensorflow community that uses Windows.** 

I hope and ask that you **bring back native windows support** and let people decide for themselves if they want to use native or wsl2. 

Thank you for the development of Tensorflow! Thanks for sharing! The change was announced long before 2.11.0 release. Please see https://discuss.tensorflow.org/t/moving-tensorflow-windows-gpu-to-wsl2/10957. There was also a blog post.
I will reach out to the team about the release notes. @GatGit12 I want to clarify that native Windows packages for CPU are available. @learning-to-play Sorry, I meant native Windows GPU (CUDA) support in my post.

Windows CPU only is unfortunately not an alternative due to the massive increase in compute time. 
 Time to move to PyTorch which isn't biased in favor of an OS only running on 3% of the world's desktops/laptops.
<details><summary>Click to expand!</summary> 
 
 ### Issue Type

Bug

### Have you reproduced the bug with TF nightly?

Yes

### Source

binary

### Tensorflow Version

tf 2.11

### Custom Code

No

### OS Platform and Distribution

Windows

### Mobile device

_No response_

### Python version

_No response_

### Bazel version

_No response_

### GCC/Compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current Behaviour?

```shell
https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-gpu-windows-x86_64-2.11.0.zip is missing, which is breaking TensorFlow Rust for Windows with GPU: https://github.com/tensorflow/rust/issues/400
```


### Standalone code to reproduce the issue

```shell
N/A
```


### Relevant log output

_No response_</details>