Does it run with the --cpu flag? That will run it with the cpu and thus
isolate your problem to the gpu/cuda
On 9/9/2024 10:31 PM, Matthew Lynch wrote:
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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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