p-j-r-1-2-3 commited on
Commit
255a7ae
·
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1 Parent(s): 701a919

add run reset_x_bits_full

Browse files
applied/opt09_srif_softreset/reset_x_bits_full.summary.json ADDED
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+ {
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+ "key": "opt09_srif_softreset/reset_x_bits_full",
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+ "tag": "reset_x_bits_full",
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+ "script": "opt09_srif_softreset.py",
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+ "script_sha256_16": "dd62e980e1fe3fd1",
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+ "hf_folder": "applied/opt09_srif_softreset",
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+ "priority": 2,
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+ "note": "the full reset-rule x precision grid in srif_sweep.json",
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+ "phase": 10,
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+ "n_phases": 10,
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+ "method": "harmonic_matched",
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+ "command": [
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+ "/usr/bin/python3",
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+ "-m",
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+ "torch.distributed.run",
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+ "--standalone",
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+ "--nproc_per_node=2",
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+ "/kaggle/working/scripts/opt09_srif_softreset.py",
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+ "--method",
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+ "harmonic_matched",
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+ "--data-root",
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+ "/kaggle/working/data",
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+ "--epochs",
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+ "60",
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+ "--seed",
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+ "1234",
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+ "--batch-size",
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+ "64",
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+ "--event-eval",
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+ "--no-resume",
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+ "--decision-margin",
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+ "2.0",
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+ "--hub-dir",
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+ "/kaggle/working/hub/opt09_srif_softreset/reset_x_bits_full",
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+ "--keep-epoch-weights",
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+ "1",
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+ "--resplit",
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+ "block",
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+ "--drop-rest",
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+ "--bench",
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+ "--reset-sweep",
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+ "hard,soft,trained",
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+ "--bits-sweep",
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+ "0,8,4,3,2"
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+ ],
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+ "flags": [
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+ "--reset-sweep",
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+ "hard,soft,trained",
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+ "--bits-sweep",
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+ "0,8,4,3,2"
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+ ],
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+ "epochs_requested": 60,
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+ "gpus": 2,
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+ "relative_epoch_cost": 1.0,
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+ "exit_code": 0,
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+ "status": "ok",
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+ "duration_s": 352.8,
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+ "started_utc": "2026-08-23T05:30:36.327230+00:00",
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+ "finished_utc": "2026-08-23T05:36:29.115302+00:00",
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+ "optimization_summary": {
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+ "optimization": "srif_softreset",
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+ "research_section": "4. Membrane-Potential Memory Wall -- Soft Reset Integrate-and-Fire (SRIF), dynamic reset potential",
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+ "reference": "Guo et al., 'Reducing Information Loss for Spiking Neural Networks' (SRIF), ECCV 2022; research.md S4 (stacks with MINT / SpQuant-SNN membrane quantization)",
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+ "script": "opt09_srif_softreset.py",
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+ "baseline_mode": false,
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+ "method": "harmonic_matched",
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+ "num_spiking_sites": 4,
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+ "reset_x_bits_sweep": {
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+ {
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+ "reset_mode": "trained",
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+ "target_acc": 0.8785714285714286,
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+ "grid_headroom": 1.5,
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+ {
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+ "reset_mode": "trained",
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+ "u_bits": 2,
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+ "target_acc": 0.44357142857142856,
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+ "grid_headroom": 1.0,
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+ }
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+ ],
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+ "by_mode": {
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+ "acc_by_bits": {
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+ "8": 0.8028571428571428,
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+ "4": 0.8342857142857143,
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+ "3": 0.8107142857142857,
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+ "2": 0.4085714285714286
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+ }
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+ },
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+ "soft": {
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+ "fp32_acc": 0.8307142857142857,
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+ "acc_by_bits": {
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+ "0": 0.8307142857142857,
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+ "8": 0.87,
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+ "4": 0.8657142857142857,
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+ "3": 0.8271428571428572,
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+ "2": 0.4085714285714286
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+ }
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+ },
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+ "trained": {
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+ "fp32_acc": 0.8478571428571429,
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+ "acc_by_bits": {
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+ "0": 0.8478571428571429,
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+ "8": 0.8957142857142857,
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+ "4": 0.8957142857142857,
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+ "3": 0.8785714285714286,
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+ "2": 0.44357142857142856
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+ }
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+ }
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+ }
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+ },
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+ "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",
376
+ "cost": "2 scalars per spiking layer; identical FMA count per tick, so the reset change is free at inference time",
377
+ "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"
378
+ },
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+ "config": {
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+ "method": "harmonic_matched",
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+ "data_root": "/kaggle/working/data",
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+ "subjects": "",
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+ "blocks": "",
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+ "limit": 0,
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+ "drop_rest": true,
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+ "resplit": "block",
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+ "test_blocks": "6",
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+ "class_weight": false,
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+ "epochs": 60,
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+ "batch_size": 64,
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+ "lr": 0.002,
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+ "grad_clip": 5.0,
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+ "num_bins": 100,
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+ "window_sec": 5.0,
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+ "hidden": "512,256",
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+ "freq_groups": 8,
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+ "dropout": 0.3,
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+ "spike_drop": 0.1,
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+ "time_jitter": 2,
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+ "label_smoothing": 0.05,
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+ "no_batchnorm": false,
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+ "binary_input": false,
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+ "beta": 1.0,
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+ "thresh": 1.0,
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+ "window": 0.5,
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+ "gain": 1.0,
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+ "alpha": 0.9,
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+ "readout": "spikecount",
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+ "fake_quant": 0,
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+ "amp": false,
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+ "spike_reg": 0.0,
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+ "event_eval": true,
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+ "decision_margin": 2.0,
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+ "export": false,
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+ "seed": 1234,
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+ "hub_dir": "/kaggle/working/hub/opt09_srif_softreset/reset_x_bits_full",
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+ "repo_id": "UWU-R-13/SSVEP-SNN",
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+ "push_hf": false,
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+ "keep_epoch_weights": 1,
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+ "no_resume": true,
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+ "selftest": false,
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+ "reset_mode": "srif",
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+ "learn_reset": true,
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+ "lam_init": 0.9,
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+ "v_reset_init": 0.0,
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+ "u_bits": 0,
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+ "u_headroom": 2.0,
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+ "reset_sweep": "hard,soft,trained",
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+ "bits_sweep": "0,8,4,3,2",
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+ "baseline": false,
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+ "bench": true,
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+ "bench_warmup": 10,
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+ "bench_iters": 50,
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+ "bench_train_steps": 20,
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+ "sampling_rate": 250.0
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+ }
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+ },
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+ "final_summary": {
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+ "final_test_target_acc": 0.8478571428571429,
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+ "n_in": 2880,
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+ "n_classes": 40,
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+ "num_bins": 100
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+ "event_driven_summary": {
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+ "anytime_acc": {
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+ "0.75": 0.7842857142857143,
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