add run hard_reset_D1

applied/opt07_sfa_integer_train/hard_reset_D1.summary.json

@@ -0,0 +1,287 @@
+{
+  "key": "opt07_sfa_integer_train/hard_reset_D1",
+  "tag": "hard_reset_D1",
+  "script": "opt07_sfa_integer_train.py",
+  "script_sha256_16": "ec0724638ce44e61",
+  "hf_folder": "applied/opt07_sfa_integer_train",
+  "priority": 2,
+  "note": "D=1 binary neuron + storm-reg: separates integer activations from the regularizer (--hard-reset forces D=1; SFA needs the soft reset)",
+  "phase": 9,
+  "n_phases": 10,
+  "method": "harmonic_matched",
+  "command": [
+    "/usr/bin/python3",
+    "-m",
+    "torch.distributed.run",
+    "--standalone",
+    "--nproc_per_node=2",
+    "/kaggle/working/scripts/opt07_sfa_integer_train.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/opt07_sfa_integer_train/hard_reset_D1",
+    "--keep-epoch-weights",
+    "1",
+    "--resplit",
+    "block",
+    "--drop-rest",
+    "--bench",
+    "--hard-reset"
+  ],
+  "flags": [
+    "--hard-reset"
+  ],
+  "epochs_requested": 60,
+  "gpus": 2,
+  "relative_epoch_cost": 1.0,
+  "exit_code": 0,
+  "status": "ok",
+  "duration_s": 333.6,
+  "started_utc": "2026-08-23T04:26:44.868493+00:00",
+  "finished_utc": "2026-08-23T04:32:18.453115+00:00",
+  "optimization_summary": {
+    "optimization": "sfa_integer_train",
+    "research_section": "3. Training-Time Approximation for Fewer Timesteps (SFA) / spike-storm suppression",
+    "reference": "Yao et al., Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training, arXiv:2411.16061",
+    "script": "opt07_sfa_integer_train.py",
+    "baseline_mode": false,
+    "method": "harmonic_matched",
+    "accuracy": {
+      "test_acc": 0.9457142857142857,
+      "test_target_acc": 0.9457142857142857,
+      "best_val_acc": 0.9464285714285714
+    },
+    "efficiency": {
+      "spikes_per_inference": null,
+      "syn_ops_per_inference": 3248166.6850649347,
+      "dense_macs_per_inference": 122675200.0,
+      "event_fraction_of_dense": 0.02647777778283577,
+      "syn_ops_per_inference_dense_fanout": 64824784.47159091,
+      "weight_sparsity": 0.7324707846410685,
+      "effective_ticks": 12.107142857142858,
+      "num_ticks": 100,
+      "membrane_bytes_per_inference": 451200,
+      "weight_bytes": 4907008,
+      "input_raster_bytes": null,
+      "train_ms_per_step": 93.90855915000884,
+      "infer_ms_per_sample": 0.6246371478124502,
+      "peak_vram_mb": 2828.755968
+    },
+    "optimization_specific": {
+      "sfa_levels_D": 1,
+      "soft_reset": false,
+      "storm_reg": 0.001,
+      "trained_T": 100,
+      "infer_mode": "graded",
+      "min_ticks_within_1pct_of_full": 100,
+      "speedup_at_min_ticks": 1.0,
+      "full_T_acc": 0.9457142857142857,
+      "t_sweep_rows": [
+        {
+          "T": 4,
+          "acc": 0.28214285714285714,
+          "syn_per_inference": 1865061.2053571427,
+          "dense_per_inference": 4907008.0,
+          "infer_mode": "graded",
+          "ticks_speedup_vs_trained_T": 25.0
+        },
+        {
+          "T": 8,
+          "acc": 0.5857142857142857,
+          "syn_per_inference": 2043636.288961039,
+          "dense_per_inference": 9814016.0,
+          "infer_mode": "graded",
+          "ticks_speedup_vs_trained_T": 12.5
+        },
+        {
+          "T": 16,
+          "acc": 0.8035714285714286,
+          "syn_per_inference": 2325766.0089285714,
+          "dense_per_inference": 19628032.0,
+          "infer_mode": "graded",
+          "ticks_speedup_vs_trained_T": 6.25
+        },
+        {
+          "T": 25,
+          "acc": 0.8757142857142857,
+          "syn_per_inference": 2540783.9699675324,
+          "dense_per_inference": 30668800.0,
+          "infer_mode": "graded",
+          "ticks_speedup_vs_trained_T": 4.0
+        },
+        {
+          "T": 50,
+          "acc": 0.93,
+          "syn_per_inference": 2887393.0584415584,
+          "dense_per_inference": 61337600.0,
+          "infer_mode": "graded",
+          "ticks_speedup_vs_trained_T": 2.0
+        },
+        {
+          "T": 100,
+          "acc": 0.9457142857142857,
+          "syn_per_inference": 3248166.713474026,
+          "dense_per_inference": 122675200.0,
+          "infer_mode": "graded",
+          "ticks_speedup_vs_trained_T": 1.0
+        }
+      ],
+      "storm_ratio_peak_over_mean": 4.402592156354595,
+      "tick_activity_cv": 0.7492657914512895,
+      "mean_integer_activation": 0.07816793096872668,
+      "frac_activations_gt1": 0.0,
+      "max_activation": 1.0,
+      "per_layer_activity": [
+        {
+          "layer": 0,
+          "mean_integer_activation": 0.064309815550223,
+          "peak_tick_activation": 0.28312988951802254,
+          "storm_ratio": 4.402592156354595,
+          "tick_activity_cv": 0.7492657914512895,
+          "frac_activations_gt1": 0.0,
+          "max_activation": 1.0
+        },
+        {
+          "layer": 1,
+          "mean_integer_activation": 0.036434059143066404,
+          "peak_tick_activation": 0.07265853881835938,
+          "storm_ratio": 1.9942477046833988,
+          "tick_activity_cv": 0.22539867053210047,
+          "frac_activations_gt1": 0.0,
+          "max_activation": 1.0
+        },
+        {
+          "layer": 2,
+          "mean_integer_activation": 0.13375991821289063,
+          "peak_tick_activation": 0.158294677734375,
+          "storm_ratio": 1.183423852595627,
+          "tick_activity_cv": 0.12266443917391988,
+          "frac_activations_gt1": 0.0,
+          "max_activation": 1.0
+        }
+      ],
+      "expanded_vs_graded_agreement": null,
+      "expanded_acc": null,
+      "graded_acc": null,
+      "syn_ratio_expanded_over_graded": null,
+      "expansion_caveat": "exact only at beta=1 (IAF); with beta<1 the expanded mode applies decay per sub-tick and drifts"
+    },
+    "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/opt07_sfa_integer_train/hard_reset_D1",
+      "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,
+      "sfa_levels": 4,
+      "soft_reset": false,
+      "storm_reg": 0.001,
+      "infer_mode": "graded",
+      "t_sweep": "4,8,16,25,50,100",
+      "sampling_rate": 250.0
+    }
+  },
+  "final_summary": {
+    "final_test_acc": 0.9457142857142857,
+    "final_test_target_acc": 0.9457142857142857,
+    "final_test_rest_recall": NaN,
+    "best_acc": 0.9464285714285714,
+    "best_epoch": 43,
+    "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": 0.9457142857142857,
+    "anytime_acc": {
+      "0.25": 0.6321428571428571,
+      "0.5": 0.8571428571428571,
+      "0.75": 0.9214285714285714,
+      "1.0": 0.9457142857142857
+    },
+    "syn_per_inference": 3248166.6850649347,
+    "dense_per_inference": 122675200.0,
+    "event_fraction_of_dense": 0.02647777778283577,
+    "syn_per_inference_dense_fanout": 64824784.47159091,
+    "weight_sparsity": 0.7324707846410685,
+    "num_ticks": 100,
+    "dt_ms": 50.0,
+    "infer_mode": "graded",
+    "margin_decision_acc": 0.4635714285714286,
+    "mean_decision_tick": 12.107142857142858,
+    "mean_decision_ms": 605.3571428571429,
+    "dense_forward_test_acc": 0.9457142857142857
+  },
+  "extra_sweep_file_present": true,
+  "selftest": {
+    "mode": "gate",
+    "passed": true
+  },
+  "driver_version": 1,
+  "zip": {
+    "name": "hard_reset_D1.zip",
+    "files": 81,
+    "bytes": 12247474,
+    "MB": 12.2,
+    "sha256": "14ec9f04c11682c9afbfa8aa48edc10a0d1b46c0b71aa2f5fc9f393b5519c9ad"
+  }
+}

applied/opt07_sfa_integer_train/hard_reset_D1.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:14ec9f04c11682c9afbfa8aa48edc10a0d1b46c0b71aa2f5fc9f393b5519c9ad
+size 12247474