External Email - Use Caution I run this command:
mri_synthseg --i /mnt/p/test/test-t2-3mm.nii --parc --robust --o /mnt/p/test and it fails with the following (partial) error message: Node: 'model_3/unet_conv_downarm_0_0/Conv3D' DNN library is not found. which I assume means it cannot access the appropriate the CuDNN library. I have installed GPU: nvidia geforce RTX 3050 Ti (4Gb) WSL2 Linux kernel: 5.15.153.1-microsoft-standard-WSL2 (after recent wsl --update) CUDA Version 12.6 Windows Nvidia Driver version 560.94 CuDNN Version 9.4.0 installed in WSL, with libraries located in /lib/x86_64-linux-gnu However, freesurfer's tensorflow seems to point to its own cudnn libraries in: /usr/local/freesurfer/7.4.0/python/lib/python3.8/site-packages/nvidia/cudnn/lib including libcudnn.so.8 which I assume is CuDNN version 8, and may not be compatible with CUDA 12.6? Is there a way I can get freesurfer's script to use the CuDNN 9.4.0 that are installed globally on the WSL system? Any other suggestions on what might be causing this error and how to fix it?
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