{ "key": "opt09_srif_softreset/no_learn_reset", "tag": "no_learn_reset", "script": "opt09_srif_softreset.py", "script_sha256_16": "dd62e980e1fe3fd1", "hf_folder": "applied/opt09_srif_softreset", "priority": 2, "note": "srif mode, lam/v_reset frozen at init", "phase": 10, "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/no_learn_reset", "--keep-epoch-weights", "1", "--resplit", "block", "--drop-rest", "--bench", "--no-learn-reset" ], "flags": [ "--no-learn-reset" ], "epochs_requested": 60, "gpus": 2, "relative_epoch_cost": 1.0, "exit_code": 0, "status": "ok", "duration_s": 338.9, "started_utc": "2026-08-23T05:24:52.991082+00:00", "finished_utc": "2026-08-23T05:30:31.891840+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": 0.9157142857142857, "test_target_acc": 0.9157142857142857, "best_val_acc": 0.9135714285714286 }, "efficiency": { "spikes_per_inference": 6883.3984375, "syn_ops_per_inference": 3723144.671266234, "dense_macs_per_inference": 122675200.0, "event_fraction_of_dense": 0.03034961158625569, "syn_ops_per_inference_dense_fanout": 65299762.45779221, "weight_sparsity": 0.7324707846410685, "effective_ticks": 12.082142857142857, "num_ticks": 100, "membrane_bytes_per_inference": 451200, "weight_bytes": 4907008, "input_raster_bytes": null, "train_ms_per_step": 95.2910739500112, "infer_ms_per_sample": 0.6323959431250614, "peak_vram_mb": 2829.398528, "discarded_charge_per_reset": 0.038193207689203236 }, "optimization_specific": { "reset_mode": "srif", "learn_reset": false, "lam_init": 0.9, "v_reset_init": 0.0, "u_bits": 0, "u_scale": 1.0, "u_headroom_requested": 2.0, "u_headroom_actual": 0.0, "u_threshold_level": 0, "u_levels_above_threshold": null, "reset_family": { "reset_mode": "srif", "learn_reset": false, "num_spiking_sites": 4, "extra_params": 0, "extra_params_frac_of_weights": 0.0, "extra_flops_per_tick_per_neuron": 0, "learned_lam_per_layer": [ 0.8999999761581421, 0.8999999761581421, 0.8999999761581421, 0.8999999761581421 ], "learned_v_reset_per_layer": [ 0.0, 0.0, 0.0, 0.0 ] }, "reset_stats": { "reset_mode": "srif", "learn_reset": false, "discarded_charge_per_reset": 0.038193207689203236, "spikes_per_inference": 6883.3984375, "syn_per_inference": 3811349.5, "lam_per_site": [ 0.8999999761581421, 0.8999999761581421, 0.8999999761581421, 0.8999999761581421 ], "v_reset_per_site": [ 0.0, 0.0, 0.0, 0.0 ], "u_bits": 0, "membrane_saturation_frac": null, "batches": 4, "grid_headroom": 0.0, "grid_levels_above_thresh": null }, "reset_x_bits_sweep": { "rows": [ { "reset_mode": "hard", "u_bits": 0, "acc": 0.9264285714285714, "target_acc": 0.9264285714285714, "grid_headroom": 0.0, "grid_levels_above_thresh": null, "discarded_charge_per_reset": 0.22403764747430177, "spikes_per_inference": 5916.7890625, "membrane_saturation_frac": null, "membrane_memory_reduction_x": 1.0, "acc_drop_vs_fp32": 0.0 }, { "reset_mode": "hard", "u_bits": 4, "acc": 0.94, "target_acc": 0.94, "grid_headroom": 1.75, "grid_levels_above_thresh": 3, "discarded_charge_per_reset": 0.11177482137016213, "spikes_per_inference": 6947.1171875, "membrane_saturation_frac": 0.2622705424423759, "membrane_memory_reduction_x": 8.0, "acc_drop_vs_fp32": -0.013571428571428568 }, { "reset_mode": "hard", "u_bits": 2, "acc": 0.8428571428571429, "target_acc": 0.8428571428571429, "grid_headroom": 1.0, "grid_levels_above_thresh": 0, "discarded_charge_per_reset": 0.0, "spikes_per_inference": 6449.640625, "membrane_saturation_frac": 0.3889967032358156, "membrane_memory_reduction_x": 16.0, "acc_drop_vs_fp32": 0.08357142857142852 }, { "reset_mode": "soft", "u_bits": 0, "acc": 0.9014285714285715, "target_acc": 0.9014285714285715, "grid_headroom": 0.0, "grid_levels_above_thresh": null, "discarded_charge_per_reset": 0.0, "spikes_per_inference": 7159.375, "membrane_saturation_frac": null, "membrane_memory_reduction_x": 1.0, "acc_drop_vs_fp32": 0.0 }, { "reset_mode": "soft", "u_bits": 4, "acc": 0.9421428571428572, "target_acc": 0.9421428571428572, "grid_headroom": 1.75, "grid_levels_above_thresh": 3, "discarded_charge_per_reset": 0.0, "spikes_per_inference": 7629.8828125, "membrane_saturation_frac": 0.30001184341755316, "membrane_memory_reduction_x": 8.0, "acc_drop_vs_fp32": -0.0407142857142857 }, { "reset_mode": "soft", "u_bits": 2, "acc": 0.8428571428571429, "target_acc": 0.8428571428571429, "grid_headroom": 1.0, "grid_levels_above_thresh": 0, "discarded_charge_per_reset": 0.0, "spikes_per_inference": 6449.640625, "membrane_saturation_frac": 0.3889967032358156, "membrane_memory_reduction_x": 16.0, "acc_drop_vs_fp32": 0.05857142857142861 }, { "reset_mode": "trained", "u_bits": 0, "acc": 0.9157142857142857, "target_acc": 0.9157142857142857, "grid_headroom": 0.0, "grid_levels_above_thresh": null, "discarded_charge_per_reset": 0.03844964373905227, "spikes_per_inference": 6912.2421875, "membrane_saturation_frac": null, "membrane_memory_reduction_x": 1.0, "acc_drop_vs_fp32": 0.0 }, { "reset_mode": "trained", "u_bits": 4, "acc": 0.9428571428571428, "target_acc": 0.9428571428571428, "grid_headroom": 1.75, "grid_levels_above_thresh": 3, "discarded_charge_per_reset": 0.013396262930022496, "spikes_per_inference": 7548.390625, "membrane_saturation_frac": 0.2957444730718085, "membrane_memory_reduction_x": 8.0, "acc_drop_vs_fp32": -0.027142857142857135 }, { "reset_mode": "trained", "u_bits": 2, "acc": 0.8428571428571429, "target_acc": 0.8428571428571429, "grid_headroom": 1.0, "grid_levels_above_thresh": 0, "discarded_charge_per_reset": 0.0, "spikes_per_inference": 6449.640625, "membrane_saturation_frac": 0.3889967032358156, "membrane_memory_reduction_x": 16.0, "acc_drop_vs_fp32": 0.07285714285714284 } ], "by_mode": { "hard": { "fp32_acc": 0.9264285714285714, "acc_by_bits": { "0": 0.9264285714285714, "4": 0.94, "2": 0.8428571428571429 } }, "soft": { "fp32_acc": 0.9014285714285715, "acc_by_bits": { "0": 0.9014285714285715, "4": 0.9421428571428572, "2": 0.8428571428571429 } }, "trained": { "fp32_acc": 0.9157142857142857, "acc_by_bits": { "0": 0.9157142857142857, "4": 0.9428571428571428, "2": 0.8428571428571429 } } } }, "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/no_learn_reset", "repo_id": "UWU-R-13/SSVEP-SNN", "push_hf": false, "keep_epoch_weights": 1, "no_resume": true, "selftest": false, "reset_mode": "srif", "learn_reset": false, "lam_init": 0.9, "v_reset_init": 0.0, "u_bits": 0, "u_headroom": 2.0, "reset_sweep": "hard,soft,trained", "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": 0.9157142857142857, "final_test_target_acc": 0.9157142857142857, "final_test_rest_recall": NaN, "best_acc": 0.9135714285714286, "best_epoch": 50, "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": 0.9157142857142857, "anytime_acc": { "0.25": 0.5635714285714286, "0.5": 0.7871428571428571, "0.75": 0.8685714285714285, "1.0": 0.9157142857142857 }, "syn_per_inference": 3723144.671266234, "dense_per_inference": 122675200.0, "event_fraction_of_dense": 0.03034961158625569, "syn_per_inference_dense_fanout": 65299762.45779221, "weight_sparsity": 0.7324707846410685, "num_ticks": 100, "dt_ms": 50.0, "margin_decision_acc": 0.4092857142857143, "mean_decision_tick": 12.082142857142857, "mean_decision_ms": 604.107142857143, "dense_forward_test_acc": 0.9157142857142857 }, "extra_sweep_file_present": true, "selftest": { "mode": "gate", "passed": true }, "driver_version": 1, "zip": { "name": "no_learn_reset.zip", "files": 81, "bytes": 12252281, "MB": 12.3, "sha256": "600844de2ff500a224c3e08c679649a712a823e9b59de96b2ebad2d66308f326" } }