{ "key": "opt09_srif_softreset/reset_soft", "tag": "reset_soft", "script": "opt09_srif_softreset.py", "script_sha256_16": "dd62e980e1fe3fd1", "hf_folder": "applied/opt09_srif_softreset", "priority": 1, "note": "fixed subtractive soft reset", "phase": 5, "n_phases": 10, "method": "harmonic_matched", "command": [ "/usr/bin/python3", "-m", "torch.distributed.run", "--standalone", "--nproc_per_node=2", "/kaggle/working/scripts/opt09_srif_softreset.py", "--method", "harmonic_matched", "--data-root", "/kaggle/working/data", "--epochs", "60", "--seed", "1234", "--batch-size", "64", "--event-eval", "--no-resume", "--decision-margin", "2.0", "--hub-dir", "/kaggle/working/hub/opt09_srif_softreset/reset_soft", "--keep-epoch-weights", "1", "--resplit", "block", "--drop-rest", "--bench", "--reset-mode", "soft" ], "flags": [ "--reset-mode", "soft" ], "epochs_requested": 60, "gpus": 2, "relative_epoch_cost": 1.0, "exit_code": 0, "status": "ok", "duration_s": 359.0, "started_utc": "2026-08-23T04:18:36.615953+00:00", "finished_utc": "2026-08-23T04:24:35.616434+00:00", "optimization_summary": { "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)", "script": "opt09_srif_softreset.py", "baseline_mode": false, "method": "harmonic_matched", "accuracy": { "test_acc": 0.9, "test_target_acc": 0.9, "best_val_acc": 0.9007142857142857 }, "efficiency": { "spikes_per_inference": 7061.50390625, "syn_ops_per_inference": 3783191.9512987016, "dense_macs_per_inference": 122675200.0, "event_fraction_of_dense": 0.030839093405176446, "syn_ops_per_inference_dense_fanout": 65359809.73782468, "weight_sparsity": 0.7324707846410685, "effective_ticks": 12.35, "num_ticks": 100, "membrane_bytes_per_inference": 451200, "weight_bytes": 4907008, "input_raster_bytes": null, "train_ms_per_step": 101.67684595003266, "infer_ms_per_sample": 0.6660571796874137, "peak_vram_mb": 2828.717056, 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16.0, "acc_drop_vs_fp32": 0.08857142857142863 }, { "reset_mode": "trained", "u_bits": 0, "acc": 0.9, "target_acc": 0.9, "grid_headroom": 0.0, "grid_levels_above_thresh": null, "discarded_charge_per_reset": 0.0, "spikes_per_inference": 7075.0078125, "membrane_saturation_frac": null, "membrane_memory_reduction_x": 1.0, "acc_drop_vs_fp32": 0.0 }, { "reset_mode": "trained", "u_bits": 4, "acc": 0.9221428571428572, "target_acc": 0.9221428571428572, "grid_headroom": 1.75, "grid_levels_above_thresh": 3, "discarded_charge_per_reset": 0.0, "spikes_per_inference": 7529.5, "membrane_saturation_frac": 0.2994437056737589, "membrane_memory_reduction_x": 8.0, "acc_drop_vs_fp32": -0.02214285714285713 }, { "reset_mode": "trained", "u_bits": 2, "acc": 0.8114285714285714, "target_acc": 0.8114285714285714, "grid_headroom": 1.0, "grid_levels_above_thresh": 0, "discarded_charge_per_reset": 0.0, "spikes_per_inference": 6691.3515625, "membrane_saturation_frac": 0.38086643949468085, "membrane_memory_reduction_x": 16.0, "acc_drop_vs_fp32": 0.08857142857142863 } ], "by_mode": { "hard": { "fp32_acc": 0.9128571428571428, "acc_by_bits": { "0": 0.9128571428571428, "4": 0.9207142857142857, "2": 0.8114285714285714 } }, "soft": { "fp32_acc": 0.9, "acc_by_bits": { "0": 0.9, "4": 0.9221428571428572, "2": 0.8114285714285714 } }, "trained": { "fp32_acc": 0.9, "acc_by_bits": { "0": 0.9, "4": 0.9221428571428572, "2": 0.8114285714285714 } } } }, "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" }, "config": { "method": "harmonic_matched", 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"bits_sweep": "0,4,2", "baseline": false, "bench": true, "bench_warmup": 10, "bench_iters": 50, "bench_train_steps": 20, "sampling_rate": 250.0 } }, "final_summary": { "final_test_acc": 0.9, "final_test_target_acc": 0.9, "final_test_rest_recall": NaN, "best_acc": 0.9007142857142857, "best_epoch": 59, "resplit": "block", "class_weight": false, "drop_rest": true, "epochs": 60, "method": "harmonic_matched", "n_in": 2880, "n_classes": 40, "num_bins": 100 }, "event_driven_summary": { "acc": 0.9, "anytime_acc": { "0.25": 0.5142857142857142, "0.5": 0.7514285714285714, "0.75": 0.8514285714285714, "1.0": 0.9 }, "syn_per_inference": 3783191.9512987016, "dense_per_inference": 122675200.0, "event_fraction_of_dense": 0.030839093405176446, "syn_per_inference_dense_fanout": 65359809.73782468, "weight_sparsity": 0.7324707846410685, "num_ticks": 100, "dt_ms": 50.0, "margin_decision_acc": 0.36142857142857143, "mean_decision_tick": 12.35, "mean_decision_ms": 617.5, "dense_forward_test_acc": 0.9 }, 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