add run fusion_prior_2x

applied/opt02_seenn_bayes/fusion_prior_2x.summary.json

@@ -0,0 +1,320 @@
+{
+  "key": "opt02_seenn_bayes/fusion_prior_2x",
+  "tag": "fusion_prior_2x",
+  "script": "opt02_seenn_bayes.py",
+  "script_sha256_16": "dd4f650ca0b36f6e",
+  "hf_folder": "applied/opt02_seenn_bayes",
+  "priority": 2,
+  "note": "",
+  "phase": 7,
+  "n_phases": 10,
+  "method": "harmonic_matched",
+  "command": [
+    "/usr/bin/python3",
+    "-m",
+    "torch.distributed.run",
+    "--standalone",
+    "--nproc_per_node=2",
+    "/kaggle/working/scripts/opt02_seenn_bayes.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/opt02_seenn_bayes/fusion_prior_2x",
+    "--keep-epoch-weights",
+    "1",
+    "--resplit",
+    "block",
+    "--drop-rest",
+    "--bench",
+    "--fusion-prior-weight",
+    "2.0"
+  ],
+  "flags": [
+    "--fusion-prior-weight",
+    "2.0"
+  ],
+  "epochs_requested": 60,
+  "gpus": 2,
+  "relative_epoch_cost": 1.0,
+  "exit_code": 0,
+  "status": "ok",
+  "duration_s": 609.0,
+  "started_utc": "2026-08-23T03:58:51.976532+00:00",
+  "finished_utc": "2026-08-23T04:09:00.973026+00:00",
+  "optimization_summary": {
+    "optimization": "seenn_early_exit_bayesian_fusion",
+    "research_section": "2. Temporal-dimension reduction",
+    "reference": "SEENN: Towards Temporal Spiking Early-Exit Neural Networks, arXiv:2304.01230 (NeurIPS 2023); BayesianSpikeFusion, Front. Neurosci. 2024 (PMC11330889)",
+    "script": "opt02_seenn_bayes.py",
+    "baseline_mode": false,
+    "method": "harmonic_matched",
+    "accuracy": {
+      "test_acc": 0.9271428571428572,
+      "test_target_acc": 0.9271428571428572,
+      "best_val_acc": 0.9307142857142857
+    },
+    "efficiency": {
+      "spikes_per_inference": null,
+      "syn_ops_per_inference": 3657479.1964285714,
+      "dense_macs_per_inference": 123955200.0,
+      "event_fraction_of_dense": 0.02950646036978337,
+      "syn_ops_per_inference_dense_fanout": 65234096.98295455,
+      "weight_sparsity": 0.7324707846410685,
+      "effective_ticks": 7.784285714285715,
+      "num_ticks": 100,
+      "membrane_bytes_per_inference": 451200,
+      "weight_bytes": 4907008,
+      "input_raster_bytes": null,
+      "train_ms_per_step": 185.8240008354187,
+      "infer_ms_per_sample": 0.6510175053198733,
+      "peak_vram_mb": 10914.386944,
+      "syn_ops_per_inference_early_exit": 1785947.325487013
+    },
+    "optimization_specific": {
+      "seenn_enabled": true,
+      "bayes_fusion_enabled": true,
+      "conf_threshold": 0.9,
+      "conf_temp": 2.0,
+      "anytime_fracs": "0.25,0.5,1.0",
+      "anytime_weights": "0.3,0.3,1.0",
+      "ic_loss_weight": 0.3,
+      "ic_layer": 0,
+      "mean_exit_tick": 7.784285714285715,
+      "mean_exit_ms": 389.2142857142857,
+      "ticks_saved_frac": 0.9221571428571429,
+      "exit_tick_histogram": {
+        "counts": [
+          1048,
+          306,
+          34,
+          11,
+          1,
+          0,
+          0,
+          0,
+          0,
+          0
+        ],
+        "edges": [
+          0.0,
+          10.0,
+          20.0,
+          30.0,
+          40.0,
+          50.0,
+          60.0,
+          70.0,
+          80.0,
+          90.0,
+          100.0
+        ]
+      },
+      "acc_fc_only": 0.9271428571428572,
+      "acc_ic_only": 0.9357142857142857,
+      "acc_fused": 0.9357142857142857,
+      "acc_early_exit": 0.37714285714285717,
+      "syn_ops_saved_frac": 0.5116999360567951,
+      "syn_per_inference_early_exit": 1785947.325487013,
+      "anytime_acc": {
+        "0.25": 0.6264285714285714,
+        "0.5": 0.8178571428571428,
+        "0.75": 0.8921428571428571,
+        "1.0": 0.9271428571428572
+      },
+      "pareto": [
+        {
+          "conf": 0.5,
+          "mean_ticks": 4.289285714285715,
+          "acc": 0.24571428571428572,
+          "syn_ops": 1647281.4212662338
+        },
+        {
+          "conf": 0.7,
+          "mean_ticks": 4.978571428571429,
+          "acc": 0.275,
+          "syn_ops": 1678001.2727272727
+        },
+        {
+          "conf": 0.8,
+          "mean_ticks": 5.852857142857143,
+          "acc": 0.3028571428571429,
+          "syn_ops": 1714795.320616883
+        },
+        {
+          "conf": 0.9,
+          "mean_ticks": 7.785,
+          "acc": 0.37714285714285717,
+          "syn_ops": 1785960.5300324673
+        },
+        {
+          "conf": 0.95,
+          "mean_ticks": 10.002142857142857,
+          "acc": 0.45071428571428573,
+          "syn_ops": 1850843.49512987
+        },
+        {
+          "conf": 0.99,
+          "mean_ticks": 14.499285714285714,
+          "acc": 0.5742857142857143,
+          "syn_ops": 1959679.1558441557
+        }
+      ]
+    },
+    "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,
+      "baseline": false,
+      "bench": true,
+      "bench_warmup": 10,
+      "bench_iters": 50,
+      "bench_train_steps": 20,
+      "anytime_fracs": "0.25,0.5,1.0",
+      "anytime_weights": "0.3,0.3,1.0",
+      "ic_layer": 0,
+      "ic_loss_weight": 0.3,
+      "bayes_fusion": true,
+      "fusion_prior_weight": 2.0,
+      "conf_threshold": 0.9,
+      "conf_temp": 2.0,
+      "conf_sweep": "0.5,0.7,0.8,0.9,0.95,0.99",
+      "hub_dir": "/kaggle/working/hub/opt02_seenn_bayes/fusion_prior_2x",
+      "repo_id": "UWU-R-13/SSVEP-SNN",
+      "push_hf": false,
+      "keep_epoch_weights": 1,
+      "no_resume": true,
+      "selftest": false,
+      "sampling_rate": 250.0
+    }
+  },
+  "final_summary": {
+    "final_test_acc": 0.9271428571428572,
+    "final_test_target_acc": 0.9271428571428572,
+    "final_test_rest_recall": NaN,
+    "best_acc": 0.9307142857142857,
+    "best_epoch": 28,
+    "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": {
+    "num_ticks": 100,
+    "dt_ms": 50.0,
+    "acc": 0.9271428571428572,
+    "anytime_acc": {
+      "0.25": 0.6264285714285714,
+      "0.5": 0.8178571428571428,
+      "0.75": 0.8921428571428571,
+      "1.0": 0.9271428571428572
+    },
+    "syn_per_inference": 3657479.1964285714,
+    "dense_per_inference": 123955200.0,
+    "event_fraction_of_dense": 0.02950646036978337,
+    "syn_per_inference_dense_fanout": 65234096.98295455,
+    "weight_sparsity": 0.7324707846410685,
+    "acc_fc_only": 0.9271428571428572,
+    "acc_ic_only": 0.9357142857142857,
+    "acc_fused": 0.9357142857142857,
+    "margin_decision_acc": 0.4307142857142857,
+    "mean_decision_tick": 10.192857142857143,
+    "mean_decision_ms": 509.64285714285717,
+    "acc_early_exit": 0.37714285714285717,
+    "mean_exit_tick": 7.784285714285715,
+    "mean_exit_ms": 389.2142857142857,
+    "ticks_saved_frac": 0.9221571428571429,
+    "exit_tick_histogram": {
+      "counts": [
+        1048,
+        306,
+        34,
+        11,
+        1,
+        0,
+        0,
+        0,
+        0,
+        0
+      ],
+      "edges": [
+        0.0,
+        10.0,
+        20.0,
+        30.0,
+        40.0,
+        50.0,
+        60.0,
+        70.0,
+        80.0,
+        90.0,
+        100.0
+      ]
+    },
+    "syn_per_inference_early_exit": 1785947.325487013,
+    "syn_ops_saved_frac": 0.5116999360567951,
+    "dense_forward_test_acc": 0.9271428571428572
+  },
+  "extra_sweep_file_present": true,
+  "selftest": {
+    "mode": "gate",
+    "passed": true
+  },
+  "driver_version": 1,
+  "zip": {
+    "name": "fusion_prior_2x.zip",
+    "files": 81,
+    "bytes": 12637636,
+    "MB": 12.6,
+    "sha256": "fc6050fb762f5c1e2b45dd261c259362087f7598c1df1884b7b7b97c019e13f4"
+  }
+}

applied/opt02_seenn_bayes/fusion_prior_2x.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fc6050fb762f5c1e2b45dd261c259362087f7598c1df1884b7b7b97c019e13f4
+size 12637636