#!/bin/bash export NCCL_ASYNC_ERROR_HANDLING=1 export TORCH_NCCL_BLOCKING_WAIT=1 export TORCH_NCCL_HEARTBEAT_TIMEOUT_SEC=7200 # or longer export TORCH_NCCL_ENABLE_MONITORING=0 #----------------------------------------Model and Benchmark Settings----------------------------------------# # Devices to use devices="0 1 2 3 4 5 6 7" # '0' for training, '1' for testing test=1 # For test, lightning saved version # The first of the 5-fold versions to test, e.g., if trained versions are 20,21,22,23,24, set version=20 version=5 # (optional) a previous 5-fold result for comparison original_version=90 # Benchmark to train/test; choose from: # benchmark='posex' # benchmark="astex_posex" benchmark="moad" # benchmark="posex_self_docking" # benchmark="posex_cross_docking" # benchmark='astex' # benchmark='posebusters' # Relaxation setting for the benchmark, 'both' for including both relaxed and unrelaxed poses relaxation='both' # 'both', 'true', or 'false' # Model to train model='MolAS' # Jump per-fold evaluation and use saved results (can activate after testing once) jump_eval='false' seed=42 #------------------------------------------------------------------------------------------------------------# num_devices=$(echo $devices | wc -w) declare -A num_classes_both_dict=( [posex]=48 [astex]=48 [astex_posex]=48 [moad]=8 [posex_self_docking]=48 [posex_cross_docking]=48 [posebusters]=14 [posebench]=14 ) declare -A num_classes_dict=( [posex]=24 [astex]=24 [astex_posex]=24 [moad]=8 [posex_self_docking]=24 [posex_cross_docking]=24 [posebusters]=7 [posebench]=7 ) declare -A incl_columns_dict=( [posex]='surfdock unimol diffdock diffdock_l gnina autodock glide alphafold3 moe dynamicbind rfaa fabind equibind boltz1x tankbind neuralplexer chai deepdock boltz ifd protenix diffdock_pocket DS interformer' [astex]='surfdock unimol diffdock diffdock_l gnina autodock glide alphafold3 moe dynamicbind rfaa fabind equibind boltz1x tankbind neuralplexer chai deepdock boltz ifd protenix diffdock_pocket DS interformer' [astex_posex]='surfdock unimol diffdock diffdock_l gnina autodock glide alphafold3 moe dynamicbind rfaa fabind equibind boltz1x tankbind neuralplexer chai deepdock boltz ifd protenix diffdock_pocket DS interformer' [moad]='' [posex_self_docking]='surfdock unimol diffdock diffdock_l gnina autodock glide alphafold3 moe dynamicbind rfaa fabind equibind boltz1x tankbind neuralplexer chai deepdock boltz ifd protenix diffdock_pocket DS interformer' [posex_cross_docking]='surfdock unimol diffdock diffdock_l gnina autodock glide alphafold3 moe dynamicbind rfaa fabind equibind boltz1x tankbind neuralplexer chai deepdock boltz ifd protenix diffdock_pocket DS interformer' [posebusters]='deepdock diffdock equibind gold tankbind unimol autodock' ) echo "Number of classes for benchmark $benchmark: $num_classes" if [ "$relaxation" == "both" ]; then incl_columns='' num_classes=${num_classes_both_dict[$benchmark]} elif [ "$relaxation" == "true" ]; then # Add '_relaxation' suffix to each method in incl_columns # incl_columns="${incl_columns_dict[$benchmark]}"_relaxation only adds suffix to the last method incl_columns="" for method in ${incl_columns_dict[$benchmark]}; do incl_columns+="${method}_relaxation " done echo "Included columns with relaxation: $incl_columns" num_classes=${num_classes_dict[$benchmark]} else incl_columns="${incl_columns_dict[$benchmark]}" num_classes=${num_classes_dict[$benchmark]} fi log_root="lightning_logs" log_name="benchmark_experiment_${benchmark}" if [ "$model" == "MCGNNASDock" ]; then num_node_features=960 else num_node_features=1152 fi if [ "$test" -eq 0 ]; then for i in {0..4}; do echo "Training with fold $i" torchrun --standalone --nproc_per_node=$num_devices main.py \ --k_folds 5 \ --fold_num $i \ --num_node_features $num_node_features \ --max_epochs 300 \ --devices $devices \ --num_classes $num_classes \ --incl_columns $incl_columns \ --batch_size 16 \ --num_workers 0 \ --lr 1e-3 \ --benchmark $benchmark \ --seed $seed \ --test_size 0.2 \ --log_root $log_root \ --log_name $log_name \ --model $model done else original_ckpts=() after_ckpts=() for i in {0..4}; do echo "Testing with fold $i" # Detect .ckpt files starting with 'best-epoch=xxx' with largest xxx dir="${log_root}/${log_name}/version_${version}/checkpoints" original_dir="${log_root}/${log_name}/version_${original_version}/checkpoints" # Find all files matching the pattern best_ckpt=$(find "$dir" -type f -name 'best-epoch=*-*.ckpt' | \ grep -oE 'best-epoch=([0-9]+)-[^/]*\.ckpt$' | \ sed -E 's/^best-epoch=([0-9]+)-.*/\1 &/' | \ sort -nr | \ head -n1 | \ cut -d' ' -f2-) original_best_ckpt=$(find "$original_dir" -type f -name 'best-epoch=*-*.ckpt' | \ grep -oE 'best-epoch=([0-9]+)-[^/]*\.ckpt$' | \ sed -E 's/^best-epoch=([0-9]+)-.*/\1 &/' | \ sort -nr | \ head -n1 | \ cut -d' ' -f2-) best_ckpt_path="$dir/$best_ckpt" original_best_ckpt_path="${log_root}/benchmark_experiment_astex_posex/version_${original_version}/checkpoints/$original_best_ckpt" original_ckpts+=("$original_best_ckpt_path") after_ckpts+=("$best_ckpt_path") # jump_eval='true' to enable jump evaluation if [ "$jump_eval" == "false" ]; then echo "#---------------------------Testing with checkpoint: $best_ckpt_path---------------------------#" python main.py \ --k_folds 5 \ --fold_num $i \ --num_node_features $num_node_features \ --devices $devices \ --num_classes $num_classes \ --incl_columns $incl_columns \ --num_workers 1 \ --benchmark $benchmark \ --seed $seed \ --test_size 0.2 \ --test \ --ckpt_path $best_ckpt_path \ --model $model echo "Finished testing with checkpoint: $best_ckpt_path" fi version=$((version + 1)) original_version=$((original_version + 1)) done python stats_test.py \ --original_ckpts "${original_ckpts[@]}" \ --after_ckpts "${after_ckpts[@]}" fi