Invalid JSON:Unexpected token 'N', ..."_recall": NaN,
""... is not valid JSON
| { | |
| "key": "opt09_srif_softreset/u_bits_4", | |
| "tag": "u_bits_4", | |
| "script": "opt09_srif_softreset.py", | |
| "script_sha256_16": "dd62e980e1fe3fd1", | |
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| "note": "", | |
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| "command": [ | |
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| "optimization": "srif_softreset", | |
| "research_section": "4. Membrane-Potential Memory Wall -- Soft Reset Integrate-and-Fire (SRIF), dynamic reset potential", | |
| "reference": "Guo et al., 'Reducing Information Loss for Spiking Neural Networks' (SRIF), ECCV 2022; research.md S4 (stacks with MINT / SpQuant-SNN membrane quantization)", | |
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| }, | |
| "mechanism": "V = u - s*((1-lam)*u + lam*thresh) + s*v_r; lam=0,v_r=0 is the baseline hard reset exactly, lam=1,v_r=0 discards zero charge", | |
| "cost": "2 scalars per spiking layer; identical FMA count per tick, so the reset change is free at inference time", | |
| "caveat": "the sweep swaps the reset on ALREADY-TRAINED weights, which under-states what training with each reset would give; and a charge-conserving reset can raise the spike count, so read spikes_per_inference next to the accuracy" | |
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| "config": { | |
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