add run t_scaling_wide

applied/opt10_parallel_lif_scan/t_scaling_wide.summary.json

@@ -0,0 +1,328 @@
+{
+  "key": "opt10_parallel_lif_scan/t_scaling_wide",
+  "tag": "t_scaling_wide",
+  "script": "opt10_parallel_lif_scan.py",
+  "script_sha256_16": "1b869e8327d5b545",
+  "hf_folder": "applied/opt10_parallel_lif_scan",
+  "priority": 2,
+  "note": "extends lif_scaling.json far enough for O(T) vs O(log T) to separate",
+  "phase": 10,
+  "n_phases": 10,
+  "method": "harmonic_matched",
+  "command": [
+    "/usr/bin/python3",
+    "-m",
+    "torch.distributed.run",
+    "--standalone",
+    "--nproc_per_node=2",
+    "/kaggle/working/scripts/opt10_parallel_lif_scan.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/opt10_parallel_lif_scan/t_scaling_wide",
+    "--keep-epoch-weights",
+    "1",
+    "--resplit",
+    "block",
+    "--drop-rest",
+    "--bench",
+    "--t-scaling",
+    "25,50,100,200,400,800,1600"
+  ],
+  "flags": [
+    "--t-scaling",
+    "25,50,100,200,400,800,1600"
+  ],
+  "epochs_requested": 60,
+  "gpus": 2,
+  "relative_epoch_cost": 1.0,
+  "exit_code": 0,
+  "status": "ok",
+  "duration_s": 395.9,
+  "started_utc": "2026-08-23T06:18:13.817576+00:00",
+  "finished_utc": "2026-08-23T06:24:49.708995+00:00",
+  "optimization_summary": {
+    "optimization": "parallel_lif_scan",
+    "research_section": "4. Membrane-Potential Memory Wall (reset-mechanism removal) / 6. Feasibility & Limitations",
+    "reference": "Fang et al., Parallel Spiking Neurons, NeurIPS 2023, arXiv:2304.12760; Hillis-Steele parallel prefix scan",
+    "script": "opt10_parallel_lif_scan.py",
+    "baseline_mode": false,
+    "method": "harmonic_matched",
+    "accuracy": {
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+      "test_target_acc": 0.21071428571428572,
+      "best_val_acc": 0.24357142857142858
+    },
+    "efficiency": {
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+      "syn_ops_per_inference": 5740561.773538961,
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+      "event_fraction_of_dense": 0.04679480264584008,
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+      "effective_ticks": 15.650714285714285,
+      "num_ticks": 100,
+      "membrane_bytes_per_inference": 451200,
+      "weight_bytes": 4907008,
+      "input_raster_bytes": null,
+      "train_ms_per_step": 105.81391080004323,
+      "infer_ms_per_sample": 0.7435474178129198,
+      "peak_vram_mb": 2839.607296
+    },
+    "optimization_specific": {
+      "lif_mode": "scan",
+      "scan_reset_correction": true,
+      "psn_init_beta": null,
+      "training_T": 100,
+      "sequential_depth": 7,
+      "sequential_depth_baseline": 100,
+      "depth_reduction_x": 14.285714285714286,
+      "speedup_vs_sequential_at_T": 0.15305715408915568,
+      "speedup_vs_sequential_at_T_fwdbwd": 0.2103293306291829,
+      "scan_crossover_T": null,
+      "scan_ever_wins": false,
+      "t_scaling": [
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+          "sequential_ms": 0.04411825997522101,
+          "scan_ms": 0.33717115999024827,
+          "psn_ms": 0.2061137599957874,
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+          "scan_speedup_fwdbwd_x": 0.5493880770677237,
+          "psn_speedup_x": 0.2140481061338297,
+          "psn_speedup_fwdbwd_x": 0.517179250305584,
+          "depth_sequential": 25,
+          "depth_scan": 5,
+          "depth_psn": 1
+        },
+        {
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+          "sequential_ms": 0.10431424001581036,
+          "scan_ms": 0.5846541800201521,
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+          "scan_speedup_fwdbwd_x": 0.4680899134405002,
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+          "depth_sequential": 50,
+          "depth_scan": 6,
+          "depth_psn": 1
+        },
+        {
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+          "sequential_ms": 0.20693626000138465,
+          "scan_ms": 1.3520195199816953,
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+          "depth_scan": 7,
+          "depth_psn": 1
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+          "depth_scan": 8,
+          "depth_psn": 1
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+        {
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+          "depth_sequential": 400,
+          "depth_scan": 9,
+          "depth_psn": 1
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+        {
+          "T": 800,
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+          "depth_sequential": 800,
+          "depth_scan": 10,
+          "depth_psn": 1
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+        {
+          "T": 1600,
+          "sequential_ms": 3.479094920003263,
+          "scan_ms": 103.0052268000145,
+          "psn_ms": 29.381623579974985,
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+          "psn_speedup_fwdbwd_x": 0.08745286494144298,
+          "depth_sequential": 1600,
+          "depth_scan": 11,
+          "depth_psn": 1
+        }
+      ],
+      "accuracy_cost_of_reset_removal": {
+        "firing_rate_hard_reset": 0.026189453899860382,
+        "firing_rate_reset_free": 0.36295852065086365,
+        "firing_rate_reset_corrected": 0.008962403051555157,
+        "spike_agreement_reset_free": 0.6632310152053833,
+        "spike_agreement_reset_corrected": 0.9813530445098877,
+        "spike_storm_ratio_reset_free": 13.85895719852328
+      },
+      "psn_extra_params": 0,
+      "deploy_neuron_is_hard_reset": true,
+      "train_deploy_neuron_mismatch": true,
+      "event_driven_acc_under_hard_reset": 0.5757142857142857,
+      "dense_forward_acc_under_train_neuron": 0.21071428571428572
+    },
+    "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/opt10_parallel_lif_scan/t_scaling_wide",
+      "repo_id": "UWU-R-13/SSVEP-SNN",
+      "push_hf": false,
+      "keep_epoch_weights": 1,
+      "no_resume": true,
+      "selftest": false,
+      "baseline": false,
+      "bench": true,
+      "bench_warmup": 10,
+      "bench_iters": 50,
+      "bench_train_steps": 20,
+      "lif_mode": "scan",
+      "scan_reset_correction": true,
+      "psn_init_beta": 0.95,
+      "t_scaling": "25,50,100,200,400,800,1600",
+      "sampling_rate": 250.0
+    }
+  },
+  "final_summary": {
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+    "final_test_target_acc": 0.21071428571428572,
+    "final_test_rest_recall": NaN,
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+    "resplit": "block",
+    "class_weight": false,
+    "drop_rest": true,
+    "epochs": 60,
+    "method": "harmonic_matched",
+    "n_in": 2880,
+    "n_classes": 40,
+    "num_bins": 100
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+  "event_driven_summary": {
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+  "extra_sweep_file_present": true,
+  "selftest": {
+    "mode": "gate",
+    "passed": true
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+  "driver_version": 1,
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applied/opt10_parallel_lif_scan/t_scaling_wide.zip

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