the cuda version of my laptop is 12.1, but I can not find the correspond tensorflow-gpu
From this webpage (https://www.tensorflow.org/install/source_windows), I see the following notice:
![image](https://github.com/tensorflow/tensorflow/assets/102566941/d3593a06-6226-4e09-88a2-d88a006dba61)
I think if you want to leverage a GPU using CUDA 12 on that laptop, you have to try WSL2. Hi **@yoyoengineer**,
It is clearly there on note, GPU support on native-Windows is only available for 2.10 or earlier versions, starting in TF 2.11, CUDA build is not supported for Windows. For using TensorFlow GPU on Windows, you will need to build/install TensorFlow in WSL2 or use tensorflow-cpu with TensorFlow-DirectML-Plugin.
Could you go through it once again [link](https://www.tensorflow.org/install/source_windows).

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### Issue type

Support

### Have you reproduced the bug with TensorFlow Nightly?

No

### Source

source

### TensorFlow version

...

### Custom code

Yes

### OS platform and distribution

_No response_

### 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 behavior?

the cuda version of my laptop is 12.1, but I can not find the correspond tensorflow-gpu version from
https://tensorflow.google.cn/install/source_windows?hl=zh-cn#gpu
![Snipaste_2023-12-26_20-05-37](https://github.com/tensorflow/tensorflow/assets/37788019/b446545f-214e-43ba-a30f-3e01986b05e8)
![Snipaste_2023-12-26_20-05-51](https://github.com/tensorflow/tensorflow/assets/37788019/9d201006-ed48-4da0-a275-8211bfb4069b)


### Standalone code to reproduce the issue

```shell
...
```


### Relevant log output

_No response_