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authorYuren Hao <yurenh2@illinois.edu>2026-07-03 18:21:21 -0500
committerYuren Hao <yurenh2@illinois.edu>2026-07-03 18:21:21 -0500
commit6e78420da6e613964d93da06156b556e1a91caef (patch)
tree9329b0bc134fbc0627a80e6fd095651fcf9e4975 /ep_run/floss_smoke.log
parentbcec9560cf5c9b113e9381a52d1a941daa8865f2 (diff)
floss-ept: graded finite-horizon LE penalty (--floss) + three-arm from-scratch ablation queueHEADmaster
- ep_step: floss block after resreg — unroll q=10 steps past z_T1 on a sub-batch WITH graph, rho_hat = mean per-step delta growth, one-sided relu(rho_hat - 0.995)^2, ramp keyed on (rho_hat - target) NOT resT1 (de-cliffed resreg: same fundamental path-LE quantity, linear early signal), capped at floss fraction of task-grad norm (resreg convention). - smoke: below-target = untouched (cos 1.0000); force-fire = finite grads, capped perturbation (cos 0.9803). - runs/abl3_queue.sh (runner live): waits for free GPU slots (0/1/3, GPU2 excluded), launches abl_floss (floss-only) / abl_resreg (resreg-only, never cleanly run) / abl_pair (proven 2.09 recipe, control) with identical remaining flags + seed. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014FAPDWQ49M5Ye3NpTndTpn
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+[off ] res=5.006e-02 n_grads=18
+/home/yurenh2/ept/ep_run/lt_ep_train.py:248: UserWarning: Converting a tensor with requires_grad=True to a scalar may lead to unexpected behavior.
+Consider using tensor.detach() first. (Triggered internally at /pytorch/torch/csrc/autograd/generated/python_variable_methods.cpp:836.)
+ gf = torch.autograd.grad(Rf, blk.block, allow_unused=True) if float(Rf) > 0 else None
+[floss] res=5.006e-02 rho_hat=0.9919 finite=True n_grads=18
+cos(g_off, g_floss)=1.0000 (below-target: should be 1.0 = untouched)
+[fire ] rho_hat=0.9919 finite=True cos(g_off, g_fire)=0.9803 (should be <1 but >0.9: capped perturbation)
+FLOSS_SMOKE_DONE