apptainer docker tensorflow container issue with 2.18 - skipping loading of GPU

[ashep29]

I'm using apptainer pull docker://tensorflow/tensorflow:latest-gpu, but tensorflow 2.18 is skipping loading of GPU, with this message:

W0000 00:00:1736383795.205652 747392 gpu_device.cc:2344] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at [https://www.tensorflow.org/install/gpu] for how to download and setup the required libraries for your platform.
Skipping registering GPU devices...

The tensor 2.17 container worked fine, but it appears that the 2.18 container wants to use libcudnn.9.0 but the container only provides libcudnn.8.0. The system libcudnn is not mapped to the container. The system has both 8 and 9 installed. This looks like a bug in the build of the container.

Note: Just using the system python and installing 2.18 (no containers), works fine as the system has both cudnn 8 and 9 installed.

[ngaywood]

The tensorflow 2.18 tried to open libcudnn.so.9 that is missing from the docker container.

This has also been reported here [libcudnn.so.9 missing] (tensorflow/tensorflow#80538 (comment))