Invalid JSON:Unexpected token 'N', ..."_recall": NaN,
""... is not valid JSON
| { | |
| "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" | |
| } | |
| } |