{
  "key": "opt09_srif_softreset/u_bits_4",
  "tag": "u_bits_4",
  "script": "opt09_srif_softreset.py",
  "script_sha256_16": "dd62e980e1fe3fd1",
  "hf_folder": "applied/opt09_srif_softreset",
  "priority": 2,
  "note": "",
  "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/u_bits_4",
    "--keep-epoch-weights",
    "1",
    "--resplit",
    "block",
    "--drop-rest",
    "--bench",
    "--u-bits",
    "4"
  ],
  "flags": [
    "--u-bits",
    "4"
  ],
  "epochs_requested": 60,
  "gpus": 2,
  "relative_epoch_cost": 1.0,
  "exit_code": 0,
  "status": "ok",
  "duration_s": 345.7,
  "started_utc": "2026-08-23T05:41:41.208295+00:00",
  "finished_utc": "2026-08-23T05:47:26.930556+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": 0.92,
      "test_target_acc": 0.92,
      "best_val_acc": 0.935
    },
    "efficiency": {
      "spikes_per_inference": 11915.01171875,
      "syn_ops_per_inference": 4401361.720779221,
      "dense_macs_per_inference": 122675200.0,
      "event_fraction_of_dense": 0.035878170329285954,
      "syn_ops_per_inference_dense_fanout": 65977979.5073052,
      "weight_sparsity": 0.7324707846410685,
      "effective_ticks": 21.25857142857143,
      "num_ticks": 100,
      "membrane_bytes_per_inference": 0,
      "weight_bytes": 4907008,
      "input_raster_bytes": null,
      "train_ms_per_step": 98.06833220000044,
      "infer_ms_per_sample": 0.650274362812695,
      "peak_vram_mb": 2834.694656,
      "discarded_charge_per_reset": -0.7078402399200352
    },
    "optimization_specific": {
      "reset_mode": "srif",
      "learn_reset": true,
      "lam_init": 0.9,
      "v_reset_init": 0.0,
      "u_bits": 4,
      "u_scale": 0.25,
      "u_headroom_requested": 2.0,
      "u_headroom_actual": 1.75,
      "u_threshold_level": 4,
      "u_levels_above_threshold": 3,
      "reset_family": {
        "reset_mode": "srif",
        "learn_reset": true,
        "num_spiking_sites": 4,
        "extra_params": 8,
        "extra_params_frac_of_weights": 6.5212854757929885e-06,
        "extra_flops_per_tick_per_neuron": 0,
        "learned_lam_per_layer": [
          0.5789579153060913,
          0.5431995391845703,
          0.5589428544044495,
          0.7961611747741699
        ],
        "learned_v_reset_per_layer": [
          0.6194214224815369,
          0.877713143825531,
          0.6152849197387695,
          0.9643499255180359
        ]
      },
      "reset_stats": {
        "reset_mode": "srif",
        "learn_reset": true,
        "discarded_charge_per_reset": -0.7078402399200352,
        "spikes_per_inference": 11915.01171875,
        "syn_per_inference": 4434214.6875,
        "lam_per_site": [
          0.5789579153060913,
          0.5431995391845703,
          0.5589428544044495,
          0.7961611747741699
        ],
        "v_reset_per_site": [
          0.6194214224815369,
          0.877713143825531,
          0.6152849197387695,
          0.9643499255180359
        ],
        "u_bits": 4,
        "membrane_saturation_frac": 0.2822270126883865,
        "batches": 4,
        "grid_headroom": 1.75,
        "grid_levels_above_thresh": 3
      },
      "reset_x_bits_sweep": {
        "rows": [
          {
            "reset_mode": "hard",
            "u_bits": 0,
            "acc": 0.295,
            "target_acc": 0.295,
            "grid_headroom": 0.0,
            "grid_levels_above_thresh": null,
            "discarded_charge_per_reset": 0.08765906069564103,
            "spikes_per_inference": 4919.84375,
            "membrane_saturation_frac": null,
            "membrane_memory_reduction_x": 1.0,
            "acc_drop_vs_fp32": 0.0
          },
          {
            "reset_mode": "hard",
            "u_bits": 4,
            "acc": 0.7471428571428571,
            "target_acc": 0.7471428571428571,
            "grid_headroom": 1.75,
            "grid_levels_above_thresh": 3,
            "discarded_charge_per_reset": 0.013719326346275418,
            "spikes_per_inference": 5178.40625,
            "membrane_saturation_frac": 0.12054306571365248,
            "membrane_memory_reduction_x": 8.0,
            "acc_drop_vs_fp32": -0.4521428571428571
          },
          {
            "reset_mode": "hard",
            "u_bits": 2,
            "acc": 0.04,
            "target_acc": 0.04,
            "grid_headroom": 1.0,
            "grid_levels_above_thresh": 0,
            "discarded_charge_per_reset": 0.0,
            "spikes_per_inference": 428.6640625,
            "membrane_saturation_frac": 0.06521574412677306,
            "membrane_memory_reduction_x": 16.0,
            "acc_drop_vs_fp32": 0.255
          },
          {
            "reset_mode": "soft",
            "u_bits": 0,
            "acc": 0.43785714285714283,
            "target_acc": 0.43785714285714283,
            "grid_headroom": 0.0,
            "grid_levels_above_thresh": null,
            "discarded_charge_per_reset": 0.0,
            "spikes_per_inference": 5315.078125,
            "membrane_saturation_frac": null,
            "membrane_memory_reduction_x": 1.0,
            "acc_drop_vs_fp32": 0.0
          },
          {
            "reset_mode": "soft",
            "u_bits": 4,
            "acc": 0.7878571428571428,
            "target_acc": 0.7878571428571428,
            "grid_headroom": 1.75,
            "grid_levels_above_thresh": 3,
            "discarded_charge_per_reset": 0.0,
            "spikes_per_inference": 5275.203125,
            "membrane_saturation_frac": 0.1267951435062057,
            "membrane_memory_reduction_x": 8.0,
            "acc_drop_vs_fp32": -0.35
          },
          {
            "reset_mode": "soft",
            "u_bits": 2,
            "acc": 0.04,
            "target_acc": 0.04,
            "grid_headroom": 1.0,
            "grid_levels_above_thresh": 0,
            "discarded_charge_per_reset": 0.0,
            "spikes_per_inference": 428.6640625,
            "membrane_saturation_frac": 0.06521574412677306,
            "membrane_memory_reduction_x": 16.0,
            "acc_drop_vs_fp32": 0.39785714285714285
          },
          {
            "reset_mode": "trained",
            "u_bits": 0,
            "acc": 0.8771428571428571,
            "target_acc": 0.8771428571428571,
            "grid_headroom": 0.0,
            "grid_levels_above_thresh": null,
            "discarded_charge_per_reset": -0.672806146062752,
            "spikes_per_inference": 10959.46875,
            "membrane_saturation_frac": null,
            "membrane_memory_reduction_x": 1.0,
            "acc_drop_vs_fp32": 0.0
          },
          {
            "reset_mode": "trained",
            "u_bits": 4,
            "acc": 0.92,
            "target_acc": 0.92,
            "grid_headroom": 1.75,
            "grid_levels_above_thresh": 3,
            "discarded_charge_per_reset": -0.70911303501342,
            "spikes_per_inference": 11931.078125,
            "membrane_saturation_frac": 0.2747938137189716,
            "membrane_memory_reduction_x": 8.0,
            "acc_drop_vs_fp32": -0.04285714285714293
          },
          {
            "reset_mode": "trained",
            "u_bits": 2,
            "acc": 0.03785714285714286,
            "target_acc": 0.03785714285714286,
            "grid_headroom": 1.0,
            "grid_levels_above_thresh": 0,
            "discarded_charge_per_reset": -0.7804550254675015,
            "spikes_per_inference": 6802.96875,
            "membrane_saturation_frac": 0.12682423260195036,
            "membrane_memory_reduction_x": 16.0,
            "acc_drop_vs_fp32": 0.8392857142857143
          }
        ],
        "by_mode": {
          "hard": {
            "fp32_acc": 0.295,
            "acc_by_bits": {
              "0": 0.295,
              "4": 0.7471428571428571,
              "2": 0.04
            }
          },
          "soft": {
            "fp32_acc": 0.43785714285714283,
            "acc_by_bits": {
              "0": 0.43785714285714283,
              "4": 0.7878571428571428,
              "2": 0.04
            }
          },
          "trained": {
            "fp32_acc": 0.8771428571428571,
            "acc_by_bits": {
              "0": 0.8771428571428571,
              "4": 0.92,
              "2": 0.03785714285714286
            }
          }
        }
      },
      "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/u_bits_4",
      "repo_id": "UWU-R-13/SSVEP-SNN",
      "push_hf": false,
      "keep_epoch_weights": 1,
      "no_resume": true,
      "selftest": false,
      "reset_mode": "srif",
      "learn_reset": true,
      "lam_init": 0.9,
      "v_reset_init": 0.0,
      "u_bits": 4,
      "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": 0.92,
    "final_test_target_acc": 0.92,
    "final_test_rest_recall": NaN,
    "best_acc": 0.935,
    "best_epoch": 9,
    "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": 0.92,
    "anytime_acc": {
      "0.25": 0.47714285714285715,
      "0.5": 0.7542857142857143,
      "0.75": 0.8678571428571429,
      "1.0": 0.92
    },
    "syn_per_inference": 4401361.720779221,
    "dense_per_inference": 122675200.0,
    "event_fraction_of_dense": 0.035878170329285954,
    "syn_per_inference_dense_fanout": 65977979.5073052,
    "weight_sparsity": 0.7324707846410685,
    "num_ticks": 100,
    "dt_ms": 50.0,
    "margin_decision_acc": 0.5185714285714286,
    "mean_decision_tick": 21.25857142857143,
    "mean_decision_ms": 1062.9285714285716,
    "dense_forward_test_acc": 0.92
  },
  "extra_sweep_file_present": true,
  "selftest": {
    "mode": "gate",
    "passed": true
  },
  "driver_version": 1,
  "zip": {
    "name": "u_bits_4.zip",
    "files": 81,
    "bytes": 12262238,
    "MB": 12.3,
    "sha256": "e272a8770dc758e21ec340f0e670fb3661af3f7c3d82166c465f0ded0a39437c"
  }
}