after installing YOLOv8 module all modules cannot work with gpu

[motogon]

Area of Concern

• [ Server version: 2.6.5 ] Server
• [Object Detection (YOLOv8) ] Behaviour of one or more Modules [provide name(s), e.g. ObjectDetectionYolo]
• [ Docker ] Installer
• Runtime [e.g. Python3.7, .NET]
• Module packages [e.g. PyTorch)
• [ ] Something else

Describe the bug

Immediately after creating the container :
docker run --name CodeProject.AI -d -p 33168:32168 --gpus all
--privileged
--restart=unless-stopped.
--device /dev/bus/usb:/dev/bus/usb.
--shm-size=164m.
--network=scrypted_default.
--mount type=bind,source=/etc/codeproject/ai,target=/etc/codeproject/ai.
\ --mount type=bind,source=/volume5/Exten/CodeProject/md0,target=/app/modules
codeproject/ai-server:cuda12_2-2.6.5

gpu version: NVIDIA-SMI 535.154.05 Driver version: 535.154.05 CUDA version: 12.2

Face Processing 1.10.2 and Object Detection (YOLOv5 6.2) 1.9.1 modules work using the GPU.

after installing YOLOv8 module - GPU driver version is downgraded to 11.5 and all modules cannot work with gpu

Probably in YOLOv8 module installer - error

Expected behavior
A clear and concise description of what you expected to happen.

Screenshots
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Your System (please complete the following information):

• CodeProject.AI Server version: 2.6.5
• OS: [e.g. Ubuntu 20.04]
• System RAM [e.g. 128Gb]
• GPU (if available) NVIDIA GeForce GTX 1650 (4 GiB) (NVIDIA)
• GPU RAM (if available) 4Gb

Additional context
Add any other context about the problem here.

[tbc725]

Try 11.8 version. It works for my Tesla P4. I was able to have Face Processing, YOLOv8 and ALPR all run on GPU.