Error when running your current image with host drivers cuda 12.1 : "Could not load dynamic library 'libnvinfer.so.7'" about gpu-jupyter HOT 3 CLOSED

Newer versions of TensorFlow (≥ v2.11.0) require TensorRT, i.e. libnvinfer-dev and libnvinfer-plugin-dev, installed in the image.

Cross reference: rocker-org/rocker-versioned2#602

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Thanks for this hint @benz0li:

I've integrated this change into the latest PR #126

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Hi,
I'm afraid I don't understand the error yet.
The errors and warnings from tensorflow can be ignored (I don't like this behavior).

If there is an error caused by using CUDA 11.6 on 12.1 drivers, try an appropriate base image within src/Dockerfile.header. Make sure the base image has cudnn8 and is with runtime (e.g. 12.1.1-cudnn8-runtime-ubuntu22.04 see the tags).
Using a different base image can be cumbersome, though, as docker-stacks, Tensorflow, PyTorch and some other libraries must support the later version. Usually, it needs quite long - sometimes half a year - until a new driver is supported, see https://github.com/iot-salzburg/gpu-jupyter/tree/master#updates.

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