Thank you for the recent update! As I mentioned I mean to procure a newer GPU to take advantage of the CNN capabilities implemented with the new worker.
In the mean time I wanted to try out the CPU fallback option you mentioned. Unfortunatly, this has not worked for me. The process is terminated after the system (rightly) concludes I have the work GPU-driver. Posting the error log below:
Performing FreeSurfer CNN processing on processed/mr_ana/rtast2_MR_crop.nii
May use Docker image 'kipet/fastsurfercnn:1.0' or FastSurferCNN executable, and will use Docker image 'kipet/fsfsl:1.2' using FreeSurfer version 'stable-pub-v6.0.0' to process
Processing using FastSurferCNN executable found at:
T:\downloads\m-files\solena\bin\fastsurfercnn-1.0-win-x64\fastsurfercnn.exe
Reading volume Z:\kipet\atlas_images\human\vff\Martin\KIH18001\Processed\tast2\fastsurfer\mri\rKIH18001_tast2_mr_crop.nii
Conforming image to UCHAR, RAS orientation, and 1mm isotropic voxels
torch\cuda__init__.py:52: UserWarning: CUDA initialization: The NVIDIA driver on your system is too old (found version 8000). Please update your GPU driver by downloading and installing a new version from the URL: http://www.nvidia.com/Download/index.aspx Alternatively, go to: https://pytorch.org to install a PyTorch version that has been compiled with your version of the CUDA driver. (Triggered internally at ..\c10\cuda\CUDAFunctions.cpp:100.)
ERROR: Min value in input is below 0.0!
Destroying process.
Error executing command: MR:fastsurfMR, parameters: r|MR_crop CLEANUP EROSIONBASED USEGPU TRYGPU SURFERFOLDER fastsurfer ORDER 1 BATCHSIZE 8
Error report:
Error using fastsurfMR (line 271)
There was some error running FastSurferCNN that could not be handled automatically.
Thank you for the recent update! As I mentioned I mean to procure a newer GPU to take advantage of the CNN capabilities implemented with the new worker.
In the mean time I wanted to try out the CPU fallback option you mentioned. Unfortunatly, this has not worked for me. The process is terminated after the system (rightly) concludes I have the work GPU-driver. Posting the error log below:
Performing FreeSurfer CNN processing on processed/mr_ana/rtast2_MR_crop.nii
May use Docker image 'kipet/fastsurfercnn:1.0' or FastSurferCNN executable, and will use Docker image 'kipet/fsfsl:1.2' using FreeSurfer version 'stable-pub-v6.0.0' to process
Processing using FastSurferCNN executable found at:
T:\downloads\m-files\solena\bin\fastsurfercnn-1.0-win-x64\fastsurfercnn.exe
Reading volume Z:\kipet\atlas_images\human\vff\Martin\KIH18001\Processed\tast2\fastsurfer\mri\rKIH18001_tast2_mr_crop.nii
Conforming image to UCHAR, RAS orientation, and 1mm isotropic voxels
torch\cuda__init__.py:52: UserWarning: CUDA initialization: The NVIDIA driver on your system is too old (found version 8000). Please update your GPU driver by downloading and installing a new version from the URL: http://www.nvidia.com/Download/index.aspx Alternatively, go to: https://pytorch.org to install a PyTorch version that has been compiled with your version of the CUDA driver. (Triggered internally at ..\c10\cuda\CUDAFunctions.cpp:100.) ERROR: Min value in input is below 0.0!
Destroying process.
Error executing command: MR:fastsurfMR, parameters: r|MR_crop CLEANUP EROSIONBASED USEGPU TRYGPU SURFERFOLDER fastsurfer ORDER 1 BATCHSIZE 8
Error report:
Error using fastsurfMR (line 271)
There was some error running FastSurferCNN that could not be handled automatically.