Pytorch does not recognize GPU in WSL2
Labels: triaged, module: wsl

### 🐛 Describe the bug

After install pytorch in Ubuntu 20.4 in WSL2,
conda install pytorch torchvision torchaudio cudatoolkit=11.6 -c pytorch -c conda-forge

 pytorch does not recognize GPU:
python3 -c 'import torch; print(torch.cuda.is_available())'

returned False

Similar setup worked on windows environment. Only WSL2 have the problem.

nvidia-smi gave the following output:
Mon Sep  5 14:42:50 2022
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 510.85.02    Driver Version: 516.94       CUDA Version: 11.7     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  NVIDIA GeForce ...  On   | 00000000:01:00.0  On |                  N/A |
| 23%   33C    P8    11W / 250W |   1281MiB / 11264MiB |     11%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+

I tried install and uninstall cuda-toolkit and cuDnn following instructions from nvidia, did not help either.

### Versions

Collecting environment information...
PyTorch version: 1.12.1
Is debug build: False
CUDA used to build PyTorch: 11.6
ROCM used to build PyTorch: N/A

OS: Ubuntu 20.04.5 LTS (x86_64)
GCC version: (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.31

Python version: 3.8.5 (default, Sep  4 2020, 07:30:14)  [GCC 7.3.0] (64-bit runtime)
Python platform: Linux-5.10.102.1-microsoft-standard-WSL2-x86_64-with-glibc2.10
Is CUDA available: False
CUDA runtime version: 11.6.124
GPU models and configuration: GPU 0: NVIDIA GeForce GTX 1080 Ti
Nvidia driver version: 516.94
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

Versions of relevant libraries:
[pip3] numpy==1.23.2
[pip3] pytorch-lightning==1.4.2
[pip3] torch==1.12.1
[pip3] torch-fidelity==0.3.0
[pip3] torchaudio==0.12.1
[pip3] torchmetrics==0.6.0
[pip3] torchvision==0.13.1
[conda] blas                      1.0                         mkl
[conda] cudatoolkit               11.6.0              hecad31d_10    conda-forge
[conda] ffmpeg                    4.3                  hf484d3e_0    pytorch
[conda] mkl                       2021.4.0           h06a4308_640
[conda] mkl-service               2.4.0            py38h7f8727e_0
[conda] mkl_fft                   1.3.1            py38hd3c417c_0
[conda] mkl_random                1.2.2            py38h51133e4_0
[conda] numpy                     1.23.2                   pypi_0    pypi
[conda] numpy-base                1.19.2           py38h4c65ebe_1
[conda] pytorch                   1.12.1          py3.8_cuda11.6_cudnn8.3.2_0    pytorch
[conda] pytorch-lightning         1.4.2                    pypi_0    pypi
[conda] pytorch-mutex             1.0                        cuda    pytorch
[conda] torch-fidelity            0.3.0                    pypi_0    pypi
[conda] torchaudio                0.12.1               py38_cu116    pytorch
[conda] torchmetrics              0.6.0                    pypi_0    pypi
[conda] torchvision               0.13.1               py38_cu116    pytorch

cc @peterjc123 @mszhanyi @skyline75489 @nbcsm