Initial commit: RoseTTAFold-All-Atom configured for Wes with Harbor images and s3:// paths

rf2aa/SE3Transformer/scripts/train_multi_gpu.sh

@@ -0,0 +1,27 @@
+#!/usr/bin/env bash
+
+# CLI args with defaults
+BATCH_SIZE=${1:-240}
+AMP=${2:-true}
+NUM_EPOCHS=${3:-130}
+LEARNING_RATE=${4:-0.01}
+WEIGHT_DECAY=${5:-0.1}
+
+# choices: 'mu', 'alpha', 'homo', 'lumo', 'gap', 'r2', 'zpve', 'U0', 'U', 'H', 'G', 'Cv',
+#          'U0_atom', 'U_atom', 'H_atom', 'G_atom', 'A', 'B', 'C'
+TASK=homo
+
+python -m torch.distributed.run --nnodes=1 --nproc_per_node=gpu --max_restarts 0 --module \
+  se3_transformer.runtime.training \
+  --amp "$AMP" \
+  --batch_size "$BATCH_SIZE" \
+  --epochs "$NUM_EPOCHS" \
+  --lr "$LEARNING_RATE" \
+  --min_lr 0.00001 \
+  --weight_decay "$WEIGHT_DECAY" \
+  --use_layer_norm \
+  --norm \
+  --save_ckpt_path model_qm9.pth \
+  --precompute_bases \
+  --seed 42 \
+  --task "$TASK"