First, I run into a few problems with the installation that I was able to resolve:
if [[ "$db_preset" == "reduced_dbs" && "$model_preset" == "monomer" ]]; then
$(python $alphafold_script --use_gpu_relax --hhblits_binary_path=$hhblits_binary_path --hhsearch_binary_path=$hhsearch_binary_path --jackhmmer_binary_path=$jackhmmer_binary_path --kalign_binary_path=$kalign_binary_path --small_bfd_database_path=$small_bfd_database_path --mgnify_database_path=$mgnify_database_path --template_mmcif_dir=$template_mmcif_dir --obsolete_pdbs_path=$obsolete_pdbs_path --pdb70_database_path=$pdb70_database_path --uniref90_database_path=$uniref90_database_path --data_dir=$data_dir --output_dir=$output_dir --fasta_paths=$fasta_path --max_template_date=$max_template_date --model_preset=$model_preset --db_preset=$db_preset --benchmark=$benchmark --use_precomputed_msas=$use_precomputed_msas --remove_msas_after_use=$remove_msas_after_use --logtostderr)
elif [[ "$db_preset" == "reduced_dbs" ]]; then
$(python $alphafold_script --use_gpu_relax --hhblits_binary_path=$hhblits_binary_path --hhsearch_binary_path=$hhsearch_binary_path --jackhmmer_binary_path=$jackhmmer_binary_path --kalign_binary_path=$kalign_binary_path --small_bfd_database_path=$small_bfd_database_path --mgnify_database_path=$mgnify_database_path --template_mmcif_dir=$template_mmcif_dir --obsolete_pdbs_path=$obsolete_pdbs_path --pdb_seqres_database_path=$pdb_seqres_database_path --uniprot_database_path=$uniprot_database_path --uniref90_database_path=$uniref90_database_path --data_dir=$data_dir --output_dir=$output_dir --fasta_paths=$fasta_path --max_template_date=$max_template_date --model_preset=$model_preset --db_preset=$db_preset --benchmark=$benchmark --use_precomputed_msas=$use_precomputed_msas --remove_msas_after_use=$remove_msas_after_use --logtostderr --is_prokaryote_list=$is_prokaryote)
elif [[ "$db_preset" == "full_dbs" && "$model_preset" == "monomer" ]]; then
$(python $alphafold_script --use_gpu_relax --hhblits_binary_path=$hhblits_binary_path --hhsearch_binary_path=$hhsearch_binary_path --jackhmmer_binary_path=$jackhmmer_binary_path --kalign_binary_path=$kalign_binary_path --bfd_database_path=$bfd_database_path --mgnify_database_path=$mgnify_database_path --template_mmcif_dir=$template_mmcif_dir --obsolete_pdbs_path=$obsolete_pdbs_path --pdb70_database_path=$pdb70_database_path --uniclust30_database_path=$uniclust30_database_path --uniref90_database_path=$uniref90_database_path --data_dir=$data_dir --output_dir=$output_dir --fasta_paths=$fasta_path --max_template_date=$max_template_date --model_preset=$model_preset --db_preset=$db_preset --benchmark=$benchmark --use_precomputed_msas=$use_precomputed_msas --remove_msas_after_use=$remove_msas_after_use --logtostderr)
else
$(python $alphafold_script --use_gpu_relax --hhblits_binary_path=$hhblits_binary_path --hhsearch_binary_path=$hhsearch_binary_path --jackhmmer_binary_path=$jackhmmer_binary_path --kalign_binary_path=$kalign_binary_path --bfd_database_path=$bfd_database_path --mgnify_database_path=$mgnify_database_path --template_mmcif_dir=$template_mmcif_dir --obsolete_pdbs_path=$obsolete_pdbs_path --pdb_seqres_database_path=$pdb_seqres_database_path --uniclust30_database_path=$uniclust30_database_path --uniprot_database_path=$uniprot_database_path --uniref90_database_path=$uniref90_database_path --data_dir=$data_dir --output_dir=$output_dir --fasta_paths=$fasta_path --max_template_date=$max_template_date --model_preset=$model_preset --db_preset=$db_preset --benchmark=$benchmark --use_precomputed_msas=$use_precomputed_msas --remove_msas_after_use=$remove_msas_after_use --logtostderr --is_prokaryote_list=$is_prokaryote)
fi
alphafold reverts to CPU but this is much slower.
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 460.73.01 Driver Version: 460.73.01 CUDA Version: 11.2 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 Quadro RTX 4000 On | 00000000:27:00.0 Off | N/A |
| 30% 49C P8 10W / 125W | 3MiB / 7982MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+