{ "key": "opt09_srif_softreset/control_baseline", "tag": "control_baseline", "script": "opt09_srif_softreset.py", "script_sha256_16": "dd62e980e1fe3fd1", "hf_folder": "applied/opt09_srif_softreset", "priority": 0, "note": "control: hard reset, fp32 membrane", "phase": 2, "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/control_baseline", "--keep-epoch-weights", "1", "--resplit", "block", "--drop-rest", "--bench", "--baseline" ], "flags": [ "--baseline" ], "epochs_requested": 60, "gpus": 2, "relative_epoch_cost": 1.0, "exit_code": 0, "status": "ok", "duration_s": 338.0, "started_utc": "2026-08-23T04:39:14.264194+00:00", "finished_utc": "2026-08-23T04:44:52.262866+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": true, "method": "harmonic_matched", "accuracy": { "test_acc": 0.9464285714285714, "test_target_acc": 0.9464285714285714, "best_val_acc": 0.9428571428571428 }, "efficiency": { "spikes_per_inference": 7588.84375, "syn_ops_per_inference": 3247531.347402598, "dense_macs_per_inference": 122675200.0, "event_fraction_of_dense": 0.026472598759998744, "syn_ops_per_inference_dense_fanout": 64824149.13392857, "weight_sparsity": 0.7324707846410685, "effective_ticks": 12.189285714285715, "num_ticks": 100, "membrane_bytes_per_inference": 451200, "weight_bytes": 4907008, "input_raster_bytes": null, "train_ms_per_step": 95.90769074993659, "infer_ms_per_sample": 0.6329408046872231, 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"membrane_saturation_frac": 0.5301250831117021, "membrane_memory_reduction_x": 16.0, "acc_drop_vs_fp32": -0.0585714285714285 }, { "reset_mode": "trained", "u_bits": 0, "acc": 0.9464285714285714, "target_acc": 0.9464285714285714, "grid_headroom": 0.0, "grid_levels_above_thresh": null, "discarded_charge_per_reset": 0.27401632159846223, "spikes_per_inference": 7531.203125, "membrane_saturation_frac": null, "membrane_memory_reduction_x": 1.0, "acc_drop_vs_fp32": 0.0 }, { "reset_mode": "trained", "u_bits": 4, "acc": 0.96, "target_acc": 0.96, "grid_headroom": 1.75, "grid_levels_above_thresh": 3, "discarded_charge_per_reset": 0.1605852697683357, "spikes_per_inference": 9036.453125, "membrane_saturation_frac": 0.30208174035904256, "membrane_memory_reduction_x": 8.0, "acc_drop_vs_fp32": -0.013571428571428568 }, { "reset_mode": "trained", "u_bits": 2, "acc": 0.9007142857142857, "target_acc": 0.9007142857142857, "grid_headroom": 1.0, "grid_levels_above_thresh": 0, "discarded_charge_per_reset": 0.0, "spikes_per_inference": 9342.71875, "membrane_saturation_frac": 0.5301250831117021, "membrane_memory_reduction_x": 16.0, "acc_drop_vs_fp32": 0.04571428571428571 } ], "by_mode": { "hard": { "fp32_acc": 0.9464285714285714, "acc_by_bits": { "0": 0.9464285714285714, "4": 0.96, "2": 0.9007142857142857 } }, "soft": { "fp32_acc": 0.8421428571428572, "acc_by_bits": { "0": 0.8421428571428572, "4": 0.9585714285714285, "2": 0.9007142857142857 } }, "trained": { "fp32_acc": 0.9464285714285714, "acc_by_bits": { "0": 0.9464285714285714, "4": 0.96, "2": 0.9007142857142857 } } } }, "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", "data_root": "/kaggle/working/data", "subjects": "", "blocks": "", "limit": 0, "drop_rest": true, "resplit": "block", "test_blocks": "6", "class_weight": false, "epochs": 60, "batch_size": 64, "lr": 0.002, "weight_decay": 0.0005, "grad_clip": 5.0, "num_bins": 100, "window_sec": 5.0, "hidden": "512,256", "freq_groups": 8, "dropout": 0.3, "spike_drop": 0.1, "time_jitter": 2, "label_smoothing": 0.05, "no_batchnorm": false, "binary_input": false, "beta": 1.0, "thresh": 1.0, "window": 0.5, "gain": 1.0, "alpha": 0.9, "readout": "spikecount", "fake_quant": 0, "amp": false, "spike_reg": 0.0, "event_eval": true, "decision_margin": 2.0, "export": false, "seed": 1234, "hub_dir": "/kaggle/working/hub/opt09_srif_softreset/control_baseline", "repo_id": "UWU-R-13/SSVEP-SNN", "push_hf": false, "keep_epoch_weights": 1, "no_resume": true, "selftest": false, "reset_mode": "srif", 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