How to run GPU part?

[hrzolix]

How do I run model inference on GPU part of the process after featurization step? Does the model inference step automatically find feature.pkl in some folder?

[Zuricho]

You're right, run_alphafold.py without feature flag will automatically find feature.pkl in output folder, if feature.pkl exists, it will skip featurization step.

[hrzolix]

So basically I ran this: run_alphafold.sh -d $ALPHAFOLDDB -o test_parafold -m model_1 -i example/query.fasta -p monomer_ptm -f and i got the .pkl file and msas folder, that was on the featurization CPU part. Now I wanna do the GPU part so will this work? Or something else is required? run_alphafold.sh -d $ALPHAFOLDDB -o test_parafold -m model_1 -i example/query.fasta -p monomer_ptm -t 2021-12-10 -l

Sorry if I'm asking something obvious, just trying to understand how this works.

[Zuricho]

you don't need to use -l, others were right

[hrzolix]

Thank you for your quick response