The image does not run in Docker Desktop/WSL2

[stydent74]

I installed the image using Dockerfile, I run it and get the error:
[System ARGV] ['launch.py', '--listen'] Python 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0] Fooocus version: 2.5.5 Environment: config_path = /content/data/config.txt Environment: config_example_path = /content/data/config_modification_tutorial.txt Environment: path_checkpoints = /content/data/models/checkpoints/ Environment: path_loras = /content/data/models/loras/ Environment: path_embeddings = /content/data/models/embeddings/ Environment: path_vae_approx = /content/data/models/vae_approx/ Environment: path_upscale_models = /content/data/models/upscale_models/ Environment: path_inpaint = /content/data/models/inpaint/ Environment: path_controlnet = /content/data/models/controlnet/ Environment: path_clip_vision = /content/data/models/clip_vision/ Environment: path_fooocus_expansion = /content/data/models/prompt_expansion/fooocus_expansion/ Environment: path_outputs = /content/app/outputs/ [Cleanup] Attempting to delete content of temp dir /tmp/fooocus [Cleanup] Cleanup successful Traceback (most recent call last): File "/content/app/launch.py", line 152, in <module> from webui import * File "/content/app/webui.py", line 10, in <module> import modules.async_worker as worker File "/content/app/modules/async_worker.py", line 3, in <module> from extras.inpaint_mask import generate_mask_from_image, SAMOptions File "/content/app/extras/inpaint_mask.py", line 6, in <module> from extras.GroundingDINO.util.inference import default_groundingdino File "/content/app/extras/GroundingDINO/util/inference.py", line 3, in <module> import ldm_patched.modules.model_management as model_management File "/content/app/ldm_patched/modules/model_management.py", line 121, in <module> total_vram = get_total_memory(get_torch_device()) / (1024 * 1024) File "/content/app/ldm_patched/modules/model_management.py", line 90, in get_torch_device return torch.device(torch.cuda.current_device()) File "/usr/local/lib/python3.10/dist-packages/torch/cuda/__init__.py", line 769, in current_device _lazy_init() File "/usr/local/lib/python3.10/dist-packages/torch/cuda/__init__.py", line 298, in _lazy_init torch._C._cuda_init() RuntimeError: Unexpected error from cudaGetDeviceCount(). Did you run some cuda functions before calling NumCudaDevices() that might have already set an error? Error 500: named symbol not found

At the same time, I can go into the container. From there the Video Card is visible and CUDA too:
`~/Fooocus# docker run --rm --gpus all --runtime=nvidia -it
ghcr.io/lllyasviel/fooocus bash
user@f0170b23a403:/content$ nvidia-smi
Sat Dec 7 11:49:01 2024
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 565.72 Driver Version: 566.14 CUDA Version: 12.7 |
|-----------------------------------------+------------------------+----------------------+
| 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 GTX 1060 6GB On | 00000000:01:00.0 On | N/A |
| 0% 35C P8 14W / 120W | 5272MiB / 6144MiB | 6% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=========================================================================================|
| 0 N/A N/A 30 G /Xwayland N/A |
+-----------------------------------------------------------------------------------------+`
If I understand correctly, there are two errors here, but I don't understand how to fix them.