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Diffstat (limited to 'runs/pe_sweep.log')
| -rw-r--r-- | runs/pe_sweep.log | 66 |
1 files changed, 66 insertions, 0 deletions
diff --git a/runs/pe_sweep.log b/runs/pe_sweep.log new file mode 100644 index 0000000..d147d94 --- /dev/null +++ b/runs/pe_sweep.log @@ -0,0 +1,66 @@ +host=timan1.cs.illinois.edu gpu=0 start=2026-06-16T11:31:39-05:00 +===== train full pe=none ===== +ep20 solve_rate=0.000 mean_conflicts=122.82 +ep40 solve_rate=0.167 mean_conflicts=60.87 +ep60 solve_rate=0.187 mean_conflicts=64.07 +ep80 solve_rate=0.313 mean_conflicts=23.74 +ep100 solve_rate=0.093 mean_conflicts=77.11 +ep120 solve_rate=0.060 mean_conflicts=69.50 +ep140 solve_rate=0.113 mean_conflicts=38.00 +ep150 solve_rate=0.103 mean_conflicts=39.66 +[color_full_none_n50_k3_p0.2_T3_ns3_s0] best solve_rate=0.3133 mean_conflicts=23.737 @ep80 (152.8s) + wrote /home/yurenh2/rrog/runs/ckpt_color_full_none_n50_k3_p0.2_T3_ns3_s0.pt +===== train full pe=rwse ===== +ep20 solve_rate=0.000 mean_conflicts=71.30 +ep40 solve_rate=0.193 mean_conflicts=29.00 +ep60 solve_rate=0.177 mean_conflicts=37.01 +ep80 solve_rate=0.483 mean_conflicts=6.12 +ep100 solve_rate=0.543 mean_conflicts=7.36 +ep120 solve_rate=0.497 mean_conflicts=13.22 +ep140 solve_rate=0.373 mean_conflicts=49.20 +ep150 solve_rate=0.363 mean_conflicts=50.49 +[color_full_rwse_n50_k3_p0.2_T3_ns3_s0] best solve_rate=0.5433 mean_conflicts=7.357 @ep100 (152.9s) + wrote /home/yurenh2/rrog/runs/ckpt_color_full_rwse_n50_k3_p0.2_T3_ns3_s0.pt +===== LE (full, both pe) ===== +[full] LE n=300 fail_rate=0.69 | lambda1 SOLVED mean -0.2724 (n=94) | UNSOLVED mean -0.0750 (n=206) | sep=+0.1974 | AUROC(fail|lambda1)=0.823 | mean_lambda1=-0.1369 +Traceback (most recent call last): + File "/home/yurenh2/rrog/diag/train_color.py", line 254, in <module> + main() + ~~~~^^ + File "/home/yurenh2/rrog/diag/train_color.py", line 202, in main + run_le(model, te, dev, c['n_sup'] * c['T']) + ~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/home/yurenh2/rrog/diag/train_color.py", line 159, in run_le + col = model(xin, ei)[-1].argmax(-1) + ~~~~~^^^^^^^^^ + File "/home/yurenh2/miniconda3/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl + return self._call_impl(*args, **kwargs) + ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ + File "/home/yurenh2/miniconda3/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl + return forward_call(*args, **kwargs) + File "/home/yurenh2/rrog/diag/train_color.py", line 106, in forward + h0 = self.lin_in(xin) + File "/home/yurenh2/miniconda3/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl + return self._call_impl(*args, **kwargs) + ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ + File "/home/yurenh2/miniconda3/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl + return forward_call(*args, **kwargs) + File "/home/yurenh2/miniconda3/lib/python3.13/site-packages/torch/nn/modules/linear.py", line 134, in forward + return F.linear(input, self.weight, self.bias) + ~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ +RuntimeError: mat1 and mat2 shapes cannot be multiplied (50x8 and 24x128) +!! le rwse failed +===== PTRM noise + lambda-select (both pe) ===== +--- pe=none --- +[pe=none] deterministic solve_rate = 0.327 (n=150, K=16) + sigma pass@K lam-sel random perRoll AUROC(s|-lam) + 0.1 0.560 0.440 0.353 0.323 0.820 + 0.2 0.747 0.520 0.307 0.313 0.817 + 0.4 0.860 0.620 0.300 0.292 0.777 +--- pe=rwse --- +[pe=rwse] deterministic solve_rate = 0.593 (n=150, K=16) + sigma pass@K lam-sel random perRoll AUROC(s|-lam) + 0.1 0.840 0.720 0.593 0.595 0.850 + 0.2 0.927 0.767 0.540 0.579 0.838 + 0.4 0.973 0.860 0.540 0.509 0.831 +done=2026-06-16T11:41:49-05:00 |