From c54ddb88b532be28ca3096e21de405d90163ecfa Mon Sep 17 00:00:00 2001
From: YurenHao0426 <Blackhao0426@gmail.com>
Date: Mon, 29 Jun 2026 12:04:47 -0500
Subject: Package full RRoG GNN project

---
 logs/local_gpu3_act_ablation_20260624_102042.log | 39 ++++++++++++++++++++++++
 1 file changed, 39 insertions(+)
 create mode 100644 logs/local_gpu3_act_ablation_20260624_102042.log

(limited to 'logs/local_gpu3_act_ablation_20260624_102042.log')

diff --git a/logs/local_gpu3_act_ablation_20260624_102042.log b/logs/local_gpu3_act_ablation_20260624_102042.log
new file mode 100644
index 0000000..99d42f7
--- /dev/null
+++ b/logs/local_gpu3_act_ablation_20260624_102042.log
@@ -0,0 +1,39 @@
+[gpu3-ablation] start Wed Jun 24 10:20:44 CDT 2026
+[gpu3-ablation] phase1 exact target, classification tasks, views=gin gcn sgc tag graphconv appnp pna resgated
+[launch] cuda:3: ogbg-molhiv ogbg-molbbbp ogbg-molsider ogbg-molbace ogbg-moltox21 ogbg-molclintox
+[launch] cuda:3: ogbg-molesol ogbg-mollipo ogbg-moltox21 ogbg-molclintox
+[task] ogbg-molhiv on cuda:3
+[task] ogbg-molesol on cuda:3
+[run] ogbg-molesol view=gin compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:3
+[run] ogbg-molhiv view=gin compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:3
+python3 rrog/train_ogb_graphprop.py --dataset ogbg-molesol --view gin --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target exact --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:3 --num_workers 0
+python3 rrog/train_ogb_graphprop.py --dataset ogbg-molhiv --view gin --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target exact --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:3 --num_workers 0
+Downloading http://snap.stanford.edu/ogb/data/graphproppred/csv_mol_download/esol.zip
+
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+Processing...
+Extracting /home/yurenh2/rrog-gnn-runner/data/ogb/esol.zip
+Loading necessary files...
+This might take a while.
+Processing graphs...
+
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100%|██████████| 1128/1128 [00:00<00:00, 184042.28it/s]
+Converting graphs into PyG objects...
+
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+/home/yurenh2/miniconda3/lib/python3.13/site-packages/ogb/graphproppred/dataset_pyg.py:158: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:213.)
+  g.y = torch.from_numpy(graph_label[i]).view(1,-1).to(torch.float32)
+Done!
+Saving...
+Traceback (most recent call last):
+  File "/home/yurenh2/rrog-gnn-runner/rrog/train_ogb_graphprop.py", line 704, in <module>
+    main()
+    ~~~~^^
+  File "/home/yurenh2/rrog-gnn-runner/rrog/train_ogb_graphprop.py", line 601, in main
+    act_state, train_metrics = train_epoch(
+                               ~~~~~~~~~~~^
+        model, train_loader, opt, dev, args, act_state, ema_state, ep + 1, metric)
+        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/yurenh2/rrog-gnn-runner/rrog/train_ogb_graphprop.py", line 507, in train_epoch
+    act_state, m = act_train_step(model, act_state, batch, opt, dev, args, epoch, metric)
+                   ~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/yurenh2/rrog-gnn-runner/rrog/train_ogb_graphprop.py", line 412, in act_train_step
+    raise ValueError(args.halt_target)
+ValueError: exact
-- 
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