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authorYuren Hao <yurenh2@illinois.edu>2026-07-05 03:53:57 -0500
committerYuren Hao <yurenh2@illinois.edu>2026-07-05 03:53:57 -0500
commitcbecb171b1af77fe6510fd60f1dfa4c7938a20d6 (patch)
treeadbe7b5ad4514930f510267963213afd21b9ebc4 /ep_run/holo_fast_parity.log
parent1cea113ef78d2703b024a088703a06ac5d235c5c (diff)
holofast: exact halved-jvp AEP track — 1.55x nudged phase, gradient-gate passed
holo_a_track computed the doubled-batch jvp/vjp on [v0; -v0] at a shared anchor zbar — exact antisymmetric redundancy (phase deviations from the common mode are exact negatives). holo_a_track_fast computes at batch B and mirrors: single-eval parity 6e-7 (exact); trajectory-level 45% divergence SHARED with the original's own FD noise floor (1e-6 state noise -> 49% self-divergence — the 2r=0.04 finite difference amplifies fp noise; training averages it via pema/momentum). Ship gate: cos(EP,BPTT) orig vs fast indistinguishable (0.907/0.912, 0.853/0.853, 0.918/0.918). Timing 6.43->4.16s on the T2=40 nudged phase (contended GPU, relative). --holofast flag, default off; queued ablation arms deliberately stay on orig for fidelity. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014FAPDWQ49M5Ye3NpTndTpn
Diffstat (limited to 'ep_run/holo_fast_parity.log')
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diff --git a/ep_run/holo_fast_parity.log b/ep_run/holo_fast_parity.log
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+/home/yurenh2/miniconda3/lib/python3.13/site-packages/torch/autograd/graph.py:865: UserWarning: Attempting to run cuBLAS, but there was no current CUDA context! Attempting to set the primary context... (Triggered internally at /pytorch/aten/src/ATen/cuda/CublasHandlePool.cpp:330.)
+ return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
+parity: rel_diff=4.48e-01 cos=0.89945102 t_best 20 vs 20
+orig: 6.433s (best of 3)
+fast: 4.163s (best of 3)
+HOLO_FAST_PARITY_DONE