update APPLIED run index
Browse files
applied/_index/APPLIED_RUNS_INDEX.json
CHANGED
|
@@ -461,139 +461,587 @@
|
|
| 461 |
}
|
| 462 |
},
|
| 463 |
{
|
| 464 |
-
"key": "
|
| 465 |
-
"tag": "
|
| 466 |
-
"script": "
|
| 467 |
-
"hf_folder": "applied/
|
| 468 |
-
"phase":
|
| 469 |
"status": "ok",
|
| 470 |
-
"duration_s":
|
| 471 |
"optimization_summary": {
|
| 472 |
-
"optimization": "
|
| 473 |
-
"research_section": "
|
| 474 |
-
"reference": "
|
| 475 |
-
"script": "
|
| 476 |
"baseline_mode": false,
|
| 477 |
"method": "harmonic_matched",
|
| 478 |
"accuracy": {
|
| 479 |
-
"test_acc": 0.
|
| 480 |
-
"test_target_acc": 0.
|
| 481 |
-
"best_val_acc": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 482 |
},
|
| 483 |
"efficiency": {
|
| 484 |
"spikes_per_inference": null,
|
| 485 |
-
"syn_ops_per_inference":
|
| 486 |
"dense_macs_per_inference": 122675200.0,
|
| 487 |
-
"event_fraction_of_dense": 0.
|
| 488 |
-
"syn_ops_per_inference_dense_fanout":
|
| 489 |
"weight_sparsity": 0.7324707846410685,
|
| 490 |
-
"effective_ticks":
|
| 491 |
"num_ticks": 100,
|
| 492 |
"membrane_bytes_per_inference": 451200,
|
| 493 |
"weight_bytes": 4907008,
|
| 494 |
"input_raster_bytes": null,
|
| 495 |
-
"train_ms_per_step":
|
| 496 |
-
"infer_ms_per_sample": 0.
|
| 497 |
-
"peak_vram_mb":
|
| 498 |
},
|
| 499 |
"optimization_specific": {
|
| 500 |
-
"
|
| 501 |
-
"
|
| 502 |
-
"
|
|
|
|
|
|
|
|
|
|
| 503 |
"trained_T": 100,
|
| 504 |
-
"
|
| 505 |
-
|
| 506 |
-
|
| 507 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 508 |
"t_sweep_rows": [
|
| 509 |
{
|
| 510 |
"T": 4,
|
| 511 |
-
"
|
| 512 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 513 |
"dense_per_inference": 4907008.0,
|
| 514 |
-
"
|
| 515 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 516 |
},
|
| 517 |
{
|
| 518 |
"T": 8,
|
| 519 |
-
"
|
| 520 |
-
"
|
|
|
|
| 521 |
"dense_per_inference": 9814016.0,
|
| 522 |
-
"
|
| 523 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 524 |
},
|
| 525 |
{
|
| 526 |
"T": 16,
|
| 527 |
-
"
|
| 528 |
-
"
|
|
|
|
| 529 |
"dense_per_inference": 19628032.0,
|
| 530 |
-
"
|
| 531 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 532 |
},
|
| 533 |
{
|
| 534 |
"T": 25,
|
| 535 |
-
"
|
| 536 |
-
"
|
|
|
|
| 537 |
"dense_per_inference": 30668800.0,
|
| 538 |
-
"
|
| 539 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 540 |
},
|
| 541 |
{
|
| 542 |
"T": 50,
|
| 543 |
-
"
|
| 544 |
-
"
|
|
|
|
| 545 |
"dense_per_inference": 61337600.0,
|
| 546 |
-
"
|
| 547 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 548 |
},
|
| 549 |
{
|
| 550 |
"T": 100,
|
| 551 |
-
"
|
| 552 |
-
"
|
|
|
|
| 553 |
"dense_per_inference": 122675200.0,
|
| 554 |
-
"
|
| 555 |
-
|
| 556 |
-
}
|
| 557 |
-
],
|
| 558 |
-
"storm_ratio_peak_over_mean": 4.048530718036778,
|
| 559 |
-
"tick_activity_cv": 0.5872231855348422,
|
| 560 |
-
"mean_integer_activation": 0.10196488050743936,
|
| 561 |
-
"frac_activations_gt1": 0.02114660758525133,
|
| 562 |
-
"max_activation": 4.0,
|
| 563 |
-
"per_layer_activity": [
|
| 564 |
{
|
| 565 |
-
"
|
| 566 |
-
"
|
| 567 |
-
"
|
| 568 |
-
"
|
| 569 |
-
"
|
| 570 |
-
"
|
| 571 |
-
"max_activation": 4.0
|
| 572 |
},
|
| 573 |
{
|
| 574 |
-
"
|
| 575 |
-
"
|
| 576 |
-
"
|
| 577 |
-
"
|
| 578 |
-
"
|
| 579 |
-
"
|
| 580 |
-
"max_activation": 4.0
|
| 581 |
},
|
| 582 |
{
|
| 583 |
-
"
|
| 584 |
-
"
|
| 585 |
-
"
|
| 586 |
-
"
|
| 587 |
-
"
|
| 588 |
-
"
|
| 589 |
-
"max_activation": 4.0
|
| 590 |
}
|
| 591 |
],
|
| 592 |
-
"
|
| 593 |
-
"expanded_acc": 0.8984375,
|
| 594 |
-
"graded_acc": 0.8984375,
|
| 595 |
-
"syn_ratio_expanded_over_graded": 1.000382822740147,
|
| 596 |
-
"expansion_caveat": "exact only at beta=1 (IAF); with beta<1 the expanded mode applies decay per sub-tick and drifts"
|
| 597 |
},
|
| 598 |
"config": {
|
| 599 |
"method": "harmonic_matched",
|
|
@@ -633,7 +1081,7 @@
|
|
| 633 |
"decision_margin": 2.0,
|
| 634 |
"export": false,
|
| 635 |
"seed": 1234,
|
| 636 |
-
"hub_dir": "/kaggle/working/hub/
|
| 637 |
"repo_id": "UWU-R-13/SSVEP-SNN",
|
| 638 |
"push_hf": false,
|
| 639 |
"keep_epoch_weights": 1,
|
|
@@ -644,20 +1092,23 @@
|
|
| 644 |
"bench_warmup": 10,
|
| 645 |
"bench_iters": 50,
|
| 646 |
"bench_train_steps": 20,
|
| 647 |
-
"
|
| 648 |
-
"
|
| 649 |
-
"
|
| 650 |
-
"
|
|
|
|
|
|
|
|
|
|
| 651 |
"t_sweep": "4,8,16,25,50,100",
|
| 652 |
"sampling_rate": 250.0
|
| 653 |
}
|
| 654 |
},
|
| 655 |
"zip": {
|
| 656 |
-
"name": "
|
| 657 |
"files": 81,
|
| 658 |
-
"bytes":
|
| 659 |
"MB": 12.3,
|
| 660 |
-
"sha256": "
|
| 661 |
}
|
| 662 |
}
|
| 663 |
]
|
|
|
|
| 461 |
}
|
| 462 |
},
|
| 463 |
{
|
| 464 |
+
"key": "opt02_seenn_bayes/default",
|
| 465 |
+
"tag": "default",
|
| 466 |
+
"script": "opt02_seenn_bayes.py",
|
| 467 |
+
"hf_folder": "applied/opt02_seenn_bayes",
|
| 468 |
+
"phase": 1,
|
| 469 |
"status": "ok",
|
| 470 |
+
"duration_s": 586.1,
|
| 471 |
"optimization_summary": {
|
| 472 |
+
"optimization": "seenn_early_exit_bayesian_fusion",
|
| 473 |
+
"research_section": "2. Temporal-dimension reduction",
|
| 474 |
+
"reference": "SEENN: Towards Temporal Spiking Early-Exit Neural Networks, arXiv:2304.01230 (NeurIPS 2023); BayesianSpikeFusion, Front. Neurosci. 2024 (PMC11330889)",
|
| 475 |
+
"script": "opt02_seenn_bayes.py",
|
| 476 |
"baseline_mode": false,
|
| 477 |
"method": "harmonic_matched",
|
| 478 |
"accuracy": {
|
| 479 |
+
"test_acc": 0.9278571428571428,
|
| 480 |
+
"test_target_acc": 0.9278571428571428,
|
| 481 |
+
"best_val_acc": 0.9307142857142857
|
| 482 |
+
},
|
| 483 |
+
"efficiency": {
|
| 484 |
+
"spikes_per_inference": null,
|
| 485 |
+
"syn_ops_per_inference": 3638362.4326298703,
|
| 486 |
+
"dense_macs_per_inference": 123955200.0,
|
| 487 |
+
"event_fraction_of_dense": 0.029352237200455246,
|
| 488 |
+
"syn_ops_per_inference_dense_fanout": 65214980.21915584,
|
| 489 |
+
"weight_sparsity": 0.7324707846410685,
|
| 490 |
+
"effective_ticks": 7.985,
|
| 491 |
+
"num_ticks": 100,
|
| 492 |
+
"membrane_bytes_per_inference": 451200,
|
| 493 |
+
"weight_bytes": 4907008,
|
| 494 |
+
"input_raster_bytes": null,
|
| 495 |
+
"train_ms_per_step": 174.30670261383057,
|
| 496 |
+
"infer_ms_per_sample": 0.6237456846476799,
|
| 497 |
+
"peak_vram_mb": 10914.396672,
|
| 498 |
+
"syn_ops_per_inference_early_exit": 1846599.2897727273
|
| 499 |
+
},
|
| 500 |
+
"optimization_specific": {
|
| 501 |
+
"seenn_enabled": true,
|
| 502 |
+
"bayes_fusion_enabled": true,
|
| 503 |
+
"conf_threshold": 0.9,
|
| 504 |
+
"conf_temp": 2.0,
|
| 505 |
+
"anytime_fracs": "0.25,0.5,1.0",
|
| 506 |
+
"anytime_weights": "0.3,0.3,1.0",
|
| 507 |
+
"ic_loss_weight": 0.3,
|
| 508 |
+
"ic_layer": 0,
|
| 509 |
+
"mean_exit_tick": 7.985,
|
| 510 |
+
"mean_exit_ms": 399.25000000000006,
|
| 511 |
+
"ticks_saved_frac": 0.92015,
|
| 512 |
+
"exit_tick_histogram": {
|
| 513 |
+
"counts": [
|
| 514 |
+
1040,
|
| 515 |
+
316,
|
| 516 |
+
39,
|
| 517 |
+
4,
|
| 518 |
+
1,
|
| 519 |
+
0,
|
| 520 |
+
0,
|
| 521 |
+
0,
|
| 522 |
+
0,
|
| 523 |
+
0
|
| 524 |
+
],
|
| 525 |
+
"edges": [
|
| 526 |
+
0.0,
|
| 527 |
+
10.0,
|
| 528 |
+
20.0,
|
| 529 |
+
30.0,
|
| 530 |
+
40.0,
|
| 531 |
+
50.0,
|
| 532 |
+
60.0,
|
| 533 |
+
70.0,
|
| 534 |
+
80.0,
|
| 535 |
+
90.0,
|
| 536 |
+
100.0
|
| 537 |
+
]
|
| 538 |
+
},
|
| 539 |
+
"acc_fc_only": 0.9278571428571428,
|
| 540 |
+
"acc_ic_only": 0.935,
|
| 541 |
+
"acc_fused": 0.9378571428571428,
|
| 542 |
+
"acc_early_exit": 0.3578571428571429,
|
| 543 |
+
"syn_ops_saved_frac": 0.49246417200994075,
|
| 544 |
+
"syn_per_inference_early_exit": 1846599.2897727273,
|
| 545 |
+
"anytime_acc": {
|
| 546 |
+
"0.25": 0.6228571428571429,
|
| 547 |
+
"0.5": 0.8078571428571428,
|
| 548 |
+
"0.75": 0.8885714285714286,
|
| 549 |
+
"1.0": 0.9278571428571428
|
| 550 |
+
},
|
| 551 |
+
"pareto": [
|
| 552 |
+
{
|
| 553 |
+
"conf": 0.5,
|
| 554 |
+
"mean_ticks": 4.405,
|
| 555 |
+
"acc": 0.22785714285714287,
|
| 556 |
+
"syn_ops": 1715995.05762987
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"conf": 0.7,
|
| 560 |
+
"mean_ticks": 5.097857142857142,
|
| 561 |
+
"acc": 0.25285714285714284,
|
| 562 |
+
"syn_ops": 1744549.8368506492
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"conf": 0.8,
|
| 566 |
+
"mean_ticks": 5.984285714285714,
|
| 567 |
+
"acc": 0.28285714285714286,
|
| 568 |
+
"syn_ops": 1779479.5024350649
|
| 569 |
+
},
|
| 570 |
+
{
|
| 571 |
+
"conf": 0.9,
|
| 572 |
+
"mean_ticks": 7.984285714285714,
|
| 573 |
+
"acc": 0.3578571428571429,
|
| 574 |
+
"syn_ops": 1846555.8522727273
|
| 575 |
+
},
|
| 576 |
+
{
|
| 577 |
+
"conf": 0.95,
|
| 578 |
+
"mean_ticks": 10.01142857142857,
|
| 579 |
+
"acc": 0.42857142857142855,
|
| 580 |
+
"syn_ops": 1902723.0324675327
|
| 581 |
+
},
|
| 582 |
+
{
|
| 583 |
+
"conf": 0.99,
|
| 584 |
+
"mean_ticks": 14.458571428571428,
|
| 585 |
+
"acc": 0.5621428571428572,
|
| 586 |
+
"syn_ops": 2004484.2800324673
|
| 587 |
+
}
|
| 588 |
+
]
|
| 589 |
+
},
|
| 590 |
+
"config": {
|
| 591 |
+
"method": "harmonic_matched",
|
| 592 |
+
"data_root": "/kaggle/working/data",
|
| 593 |
+
"subjects": "",
|
| 594 |
+
"blocks": "",
|
| 595 |
+
"limit": 0,
|
| 596 |
+
"drop_rest": true,
|
| 597 |
+
"resplit": "block",
|
| 598 |
+
"test_blocks": "6",
|
| 599 |
+
"class_weight": false,
|
| 600 |
+
"epochs": 60,
|
| 601 |
+
"batch_size": 64,
|
| 602 |
+
"lr": 0.002,
|
| 603 |
+
"weight_decay": 0.0005,
|
| 604 |
+
"grad_clip": 5.0,
|
| 605 |
+
"num_bins": 100,
|
| 606 |
+
"window_sec": 5.0,
|
| 607 |
+
"hidden": "512,256",
|
| 608 |
+
"freq_groups": 8,
|
| 609 |
+
"dropout": 0.3,
|
| 610 |
+
"spike_drop": 0.1,
|
| 611 |
+
"time_jitter": 2,
|
| 612 |
+
"label_smoothing": 0.05,
|
| 613 |
+
"no_batchnorm": false,
|
| 614 |
+
"binary_input": false,
|
| 615 |
+
"beta": 1.0,
|
| 616 |
+
"thresh": 1.0,
|
| 617 |
+
"window": 0.5,
|
| 618 |
+
"gain": 1.0,
|
| 619 |
+
"alpha": 0.9,
|
| 620 |
+
"readout": "spikecount",
|
| 621 |
+
"fake_quant": 0,
|
| 622 |
+
"amp": false,
|
| 623 |
+
"spike_reg": 0.0,
|
| 624 |
+
"event_eval": true,
|
| 625 |
+
"decision_margin": 2.0,
|
| 626 |
+
"export": false,
|
| 627 |
+
"seed": 1234,
|
| 628 |
+
"baseline": false,
|
| 629 |
+
"bench": true,
|
| 630 |
+
"bench_warmup": 10,
|
| 631 |
+
"bench_iters": 50,
|
| 632 |
+
"bench_train_steps": 20,
|
| 633 |
+
"anytime_fracs": "0.25,0.5,1.0",
|
| 634 |
+
"anytime_weights": "0.3,0.3,1.0",
|
| 635 |
+
"ic_layer": 0,
|
| 636 |
+
"ic_loss_weight": 0.3,
|
| 637 |
+
"bayes_fusion": true,
|
| 638 |
+
"fusion_prior_weight": 1.0,
|
| 639 |
+
"conf_threshold": 0.9,
|
| 640 |
+
"conf_temp": 2.0,
|
| 641 |
+
"conf_sweep": "0.5,0.7,0.8,0.9,0.95,0.99",
|
| 642 |
+
"hub_dir": "/kaggle/working/hub/opt02_seenn_bayes/default",
|
| 643 |
+
"repo_id": "UWU-R-13/SSVEP-SNN",
|
| 644 |
+
"push_hf": false,
|
| 645 |
+
"keep_epoch_weights": 1,
|
| 646 |
+
"no_resume": true,
|
| 647 |
+
"selftest": false,
|
| 648 |
+
"sampling_rate": 250.0
|
| 649 |
+
}
|
| 650 |
+
},
|
| 651 |
+
"zip": {
|
| 652 |
+
"name": "default.zip",
|
| 653 |
+
"files": 81,
|
| 654 |
+
"bytes": 12636571,
|
| 655 |
+
"MB": 12.6,
|
| 656 |
+
"sha256": "1c64c6704af63b5eec37b2f1d2e824ba1c5c3c28328c5b1c03089bd12b4cc747"
|
| 657 |
+
}
|
| 658 |
+
},
|
| 659 |
+
{
|
| 660 |
+
"key": "opt03_ftbc_threshold_balance/control_baseline",
|
| 661 |
+
"tag": "control_baseline",
|
| 662 |
+
"script": "opt03_ftbc_threshold_balance.py",
|
| 663 |
+
"hf_folder": "applied/opt03_ftbc_threshold_balance",
|
| 664 |
+
"phase": 1,
|
| 665 |
+
"status": "ok",
|
| 666 |
+
"duration_s": 321.7,
|
| 667 |
+
"optimization_summary": {
|
| 668 |
+
"optimization": "ftbc_threshold_balance",
|
| 669 |
+
"research_section": "2. Temporal-Dimension Reduction (threshold balancing + FTBC)",
|
| 670 |
+
"reference": "Rueckauer et al. arXiv:1612.04052; Sengupta et al. arXiv:1802.02627; FTBC: Forward Temporal Bias Correction, ECCV 2024",
|
| 671 |
+
"script": "opt03_ftbc_threshold_balance.py",
|
| 672 |
+
"baseline_mode": true,
|
| 673 |
+
"method": "harmonic_matched",
|
| 674 |
+
"accuracy": {
|
| 675 |
+
"test_acc": 0.9421428571428572,
|
| 676 |
+
"test_target_acc": 0.9421428571428572,
|
| 677 |
+
"best_val_acc": 0.945
|
| 678 |
},
|
| 679 |
"efficiency": {
|
| 680 |
"spikes_per_inference": null,
|
| 681 |
+
"syn_ops_per_inference": 3271536.9975649347,
|
| 682 |
"dense_macs_per_inference": 122675200.0,
|
| 683 |
+
"event_fraction_of_dense": 0.026668283382174512,
|
| 684 |
+
"syn_ops_per_inference_dense_fanout": 64848154.78409091,
|
| 685 |
"weight_sparsity": 0.7324707846410685,
|
| 686 |
+
"effective_ticks": 12.079285714285714,
|
| 687 |
"num_ticks": 100,
|
| 688 |
"membrane_bytes_per_inference": 451200,
|
| 689 |
"weight_bytes": 4907008,
|
| 690 |
"input_raster_bytes": null,
|
| 691 |
+
"train_ms_per_step": 94.71398885000326,
|
| 692 |
+
"infer_ms_per_sample": 0.6264105418749466,
|
| 693 |
+
"peak_vram_mb": 2828.282368
|
| 694 |
},
|
| 695 |
"optimization_specific": {
|
| 696 |
+
"calibrate_thresh": false,
|
| 697 |
+
"ftbc": false,
|
| 698 |
+
"calib_percentile": 99.9,
|
| 699 |
+
"calib_batches": 8,
|
| 700 |
+
"ftbc_target_ticks": 8,
|
| 701 |
+
"ftbc_ref_ticks": 100,
|
| 702 |
"trained_T": 100,
|
| 703 |
+
"thresh_before": [
|
| 704 |
+
1.0,
|
| 705 |
+
1.0,
|
| 706 |
+
1.0,
|
| 707 |
+
1.0
|
| 708 |
+
],
|
| 709 |
+
"thresh_after": null,
|
| 710 |
+
"min_ticks_within_1pct_of_full": null,
|
| 711 |
+
"min_ticks_within_1pct_per_arm": null,
|
| 712 |
+
"speedup_at_min_ticks": null,
|
| 713 |
+
"full_T_acc": null,
|
| 714 |
+
"t_sweep_rows": null,
|
| 715 |
+
"calibration_reference": "same network at full T (NOT a source ANN)"
|
| 716 |
+
},
|
| 717 |
+
"config": {
|
| 718 |
+
"method": "harmonic_matched",
|
| 719 |
+
"data_root": "/kaggle/working/data",
|
| 720 |
+
"subjects": "",
|
| 721 |
+
"blocks": "",
|
| 722 |
+
"limit": 0,
|
| 723 |
+
"drop_rest": true,
|
| 724 |
+
"resplit": "block",
|
| 725 |
+
"test_blocks": "6",
|
| 726 |
+
"class_weight": false,
|
| 727 |
+
"epochs": 60,
|
| 728 |
+
"batch_size": 64,
|
| 729 |
+
"lr": 0.002,
|
| 730 |
+
"weight_decay": 0.0005,
|
| 731 |
+
"grad_clip": 5.0,
|
| 732 |
+
"num_bins": 100,
|
| 733 |
+
"window_sec": 5.0,
|
| 734 |
+
"hidden": "512,256",
|
| 735 |
+
"freq_groups": 8,
|
| 736 |
+
"dropout": 0.3,
|
| 737 |
+
"spike_drop": 0.1,
|
| 738 |
+
"time_jitter": 2,
|
| 739 |
+
"label_smoothing": 0.05,
|
| 740 |
+
"no_batchnorm": false,
|
| 741 |
+
"binary_input": false,
|
| 742 |
+
"beta": 1.0,
|
| 743 |
+
"thresh": 1.0,
|
| 744 |
+
"window": 0.5,
|
| 745 |
+
"gain": 1.0,
|
| 746 |
+
"alpha": 0.9,
|
| 747 |
+
"readout": "spikecount",
|
| 748 |
+
"fake_quant": 0,
|
| 749 |
+
"amp": false,
|
| 750 |
+
"spike_reg": 0.0,
|
| 751 |
+
"event_eval": true,
|
| 752 |
+
"decision_margin": 2.0,
|
| 753 |
+
"export": false,
|
| 754 |
+
"seed": 1234,
|
| 755 |
+
"hub_dir": "/kaggle/working/hub/opt03_ftbc_threshold_balance/control_baseline",
|
| 756 |
+
"repo_id": "UWU-R-13/SSVEP-SNN",
|
| 757 |
+
"push_hf": false,
|
| 758 |
+
"keep_epoch_weights": 1,
|
| 759 |
+
"no_resume": true,
|
| 760 |
+
"selftest": false,
|
| 761 |
+
"baseline": true,
|
| 762 |
+
"bench": true,
|
| 763 |
+
"bench_warmup": 10,
|
| 764 |
+
"bench_iters": 50,
|
| 765 |
+
"bench_train_steps": 20,
|
| 766 |
+
"calibrate_thresh": true,
|
| 767 |
+
"calib_percentile": 99.9,
|
| 768 |
+
"calib_batches": 8,
|
| 769 |
+
"ftbc": true,
|
| 770 |
+
"ftbc_target_ticks": 8,
|
| 771 |
+
"ftbc_ref_ticks": 0,
|
| 772 |
+
"ftbc_lr": 1.0,
|
| 773 |
+
"t_sweep": "4,8,16,25,50,100",
|
| 774 |
+
"sampling_rate": 250.0
|
| 775 |
+
}
|
| 776 |
+
},
|
| 777 |
+
"zip": {
|
| 778 |
+
"name": "control_baseline.zip",
|
| 779 |
+
"files": 80,
|
| 780 |
+
"bytes": 12244248,
|
| 781 |
+
"MB": 12.2,
|
| 782 |
+
"sha256": "c24f218a83b9e351cc6d43ef1b51d7b3f9e3bfa86c64ae22f40bc90ce4f087a4"
|
| 783 |
+
}
|
| 784 |
+
},
|
| 785 |
+
{
|
| 786 |
+
"key": "opt03_ftbc_threshold_balance/default",
|
| 787 |
+
"tag": "default",
|
| 788 |
+
"script": "opt03_ftbc_threshold_balance.py",
|
| 789 |
+
"hf_folder": "applied/opt03_ftbc_threshold_balance",
|
| 790 |
+
"phase": 1,
|
| 791 |
+
"status": "ok",
|
| 792 |
+
"duration_s": 372.1,
|
| 793 |
+
"optimization_summary": {
|
| 794 |
+
"optimization": "ftbc_threshold_balance",
|
| 795 |
+
"research_section": "2. Temporal-Dimension Reduction (threshold balancing + FTBC)",
|
| 796 |
+
"reference": "Rueckauer et al. arXiv:1612.04052; Sengupta et al. arXiv:1802.02627; FTBC: Forward Temporal Bias Correction, ECCV 2024",
|
| 797 |
+
"script": "opt03_ftbc_threshold_balance.py",
|
| 798 |
+
"baseline_mode": false,
|
| 799 |
+
"method": "harmonic_matched",
|
| 800 |
+
"accuracy": {
|
| 801 |
+
"test_acc": 0.9292857142857143,
|
| 802 |
+
"test_target_acc": 0.9292857142857143,
|
| 803 |
+
"best_val_acc": 0.945
|
| 804 |
+
},
|
| 805 |
+
"efficiency": {
|
| 806 |
+
"spikes_per_inference": null,
|
| 807 |
+
"syn_ops_per_inference": 3270969.221590909,
|
| 808 |
+
"dense_macs_per_inference": 122675200.0,
|
| 809 |
+
"event_fraction_of_dense": 0.026663655095658365,
|
| 810 |
+
"syn_ops_per_inference_dense_fanout": 64847587.008116886,
|
| 811 |
+
"weight_sparsity": 0.7324707846410685,
|
| 812 |
+
"effective_ticks": 12.059285714285714,
|
| 813 |
+
"num_ticks": 100,
|
| 814 |
+
"membrane_bytes_per_inference": 451200,
|
| 815 |
+
"weight_bytes": 4907008,
|
| 816 |
+
"input_raster_bytes": null,
|
| 817 |
+
"train_ms_per_step": 92.7018213500105,
|
| 818 |
+
"infer_ms_per_sample": 0.6145065031248009,
|
| 819 |
+
"peak_vram_mb": 2825.316864
|
| 820 |
+
},
|
| 821 |
+
"optimization_specific": {
|
| 822 |
+
"calibrate_thresh": true,
|
| 823 |
+
"ftbc": true,
|
| 824 |
+
"calib_percentile": 99.9,
|
| 825 |
+
"calib_batches": 8,
|
| 826 |
+
"ftbc_target_ticks": 8,
|
| 827 |
+
"ftbc_ref_ticks": 100,
|
| 828 |
+
"trained_T": 100,
|
| 829 |
+
"thresh_before": [
|
| 830 |
+
1.0,
|
| 831 |
+
1.0,
|
| 832 |
+
1.0,
|
| 833 |
+
1.0
|
| 834 |
+
],
|
| 835 |
+
"thresh_after": [
|
| 836 |
+
2.353323459625244,
|
| 837 |
+
0.8474444150924683,
|
| 838 |
+
1.1090540885925293,
|
| 839 |
+
2.6859006881713867
|
| 840 |
+
],
|
| 841 |
+
"min_ticks_within_1pct_of_full": null,
|
| 842 |
+
"min_ticks_within_1pct_per_arm": {
|
| 843 |
+
"raw": 50,
|
| 844 |
+
"thresh": 50,
|
| 845 |
+
"ftbc": 100,
|
| 846 |
+
"both": null
|
| 847 |
+
},
|
| 848 |
+
"speedup_at_min_ticks": null,
|
| 849 |
+
"full_T_acc": 0.9442857142857143,
|
| 850 |
"t_sweep_rows": [
|
| 851 |
{
|
| 852 |
"T": 4,
|
| 853 |
+
"arm": "raw",
|
| 854 |
+
"acc": 0.2621428571428571,
|
| 855 |
+
"syn_per_inference": 1869022.726461039,
|
| 856 |
+
"dense_per_inference": 4907008.0,
|
| 857 |
+
"event_fraction_of_dense": 0.38088846124991826
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"T": 4,
|
| 861 |
+
"arm": "thresh",
|
| 862 |
+
"acc": 0.40214285714285714,
|
| 863 |
+
"syn_per_inference": 1828094.6006493508,
|
| 864 |
"dense_per_inference": 4907008.0,
|
| 865 |
+
"event_fraction_of_dense": 0.37254771148719357
|
| 866 |
+
},
|
| 867 |
+
{
|
| 868 |
+
"T": 4,
|
| 869 |
+
"arm": "ftbc",
|
| 870 |
+
"acc": 0.18285714285714286,
|
| 871 |
+
"syn_per_inference": 1982641.3717532465,
|
| 872 |
+
"dense_per_inference": 4907008.0,
|
| 873 |
+
"event_fraction_of_dense": 0.4040428244162729
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"T": 4,
|
| 877 |
+
"arm": "both",
|
| 878 |
+
"acc": 0.27714285714285714,
|
| 879 |
+
"syn_per_inference": 1953169.6939935065,
|
| 880 |
+
"dense_per_inference": 4907008.0,
|
| 881 |
+
"event_fraction_of_dense": 0.3980367861624653
|
| 882 |
+
},
|
| 883 |
+
{
|
| 884 |
+
"T": 8,
|
| 885 |
+
"arm": "raw",
|
| 886 |
+
"acc": 0.5942857142857143,
|
| 887 |
+
"syn_per_inference": 2050550.6517857143,
|
| 888 |
+
"dense_per_inference": 9814016.0,
|
| 889 |
+
"event_fraction_of_dense": 0.20894103410731288
|
| 890 |
+
},
|
| 891 |
+
{
|
| 892 |
+
"T": 8,
|
| 893 |
+
"arm": "thresh",
|
| 894 |
+
"acc": 0.7785714285714286,
|
| 895 |
+
"syn_per_inference": 1952516.9748376624,
|
| 896 |
+
"dense_per_inference": 9814016.0,
|
| 897 |
+
"event_fraction_of_dense": 0.19895188420700174
|
| 898 |
+
},
|
| 899 |
+
{
|
| 900 |
+
"T": 8,
|
| 901 |
+
"arm": "ftbc",
|
| 902 |
+
"acc": 0.375,
|
| 903 |
+
"syn_per_inference": 2353354.2873376627,
|
| 904 |
+
"dense_per_inference": 9814016.0,
|
| 905 |
+
"event_fraction_of_dense": 0.2397952364595353
|
| 906 |
},
|
| 907 |
{
|
| 908 |
"T": 8,
|
| 909 |
+
"arm": "both",
|
| 910 |
+
"acc": 0.53,
|
| 911 |
+
"syn_per_inference": 2284980.627435065,
|
| 912 |
"dense_per_inference": 9814016.0,
|
| 913 |
+
"event_fraction_of_dense": 0.23282829653375997
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"T": 16,
|
| 917 |
+
"arm": "raw",
|
| 918 |
+
"acc": 0.8028571428571428,
|
| 919 |
+
"syn_per_inference": 2341053.414772727,
|
| 920 |
+
"dense_per_inference": 19628032.0,
|
| 921 |
+
"event_fraction_of_dense": 0.11927091899853878
|
| 922 |
+
},
|
| 923 |
+
{
|
| 924 |
+
"T": 16,
|
| 925 |
+
"arm": "thresh",
|
| 926 |
+
"acc": 0.8985714285714286,
|
| 927 |
+
"syn_per_inference": 2125678.341720779,
|
| 928 |
+
"dense_per_inference": 19628032.0,
|
| 929 |
+
"event_fraction_of_dense": 0.10829808825055813
|
| 930 |
},
|
| 931 |
{
|
| 932 |
"T": 16,
|
| 933 |
+
"arm": "ftbc",
|
| 934 |
+
"acc": 0.645,
|
| 935 |
+
"syn_per_inference": 2743122.541396104,
|
| 936 |
"dense_per_inference": 19628032.0,
|
| 937 |
+
"event_fraction_of_dense": 0.13975535302755282
|
| 938 |
+
},
|
| 939 |
+
{
|
| 940 |
+
"T": 16,
|
| 941 |
+
"arm": "both",
|
| 942 |
+
"acc": 0.7207142857142858,
|
| 943 |
+
"syn_per_inference": 2544346.234577922,
|
| 944 |
+
"dense_per_inference": 19628032.0,
|
| 945 |
+
"event_fraction_of_dense": 0.12962818863235612
|
| 946 |
+
},
|
| 947 |
+
{
|
| 948 |
+
"T": 25,
|
| 949 |
+
"arm": "raw",
|
| 950 |
+
"acc": 0.8764285714285714,
|
| 951 |
+
"syn_per_inference": 2563596.2670454546,
|
| 952 |
+
"dense_per_inference": 30668800.0,
|
| 953 |
+
"event_fraction_of_dense": 0.08358971551040323
|
| 954 |
},
|
| 955 |
{
|
| 956 |
"T": 25,
|
| 957 |
+
"arm": "thresh",
|
| 958 |
+
"acc": 0.9285714285714286,
|
| 959 |
+
"syn_per_inference": 2243644.229707792,
|
| 960 |
"dense_per_inference": 30668800.0,
|
| 961 |
+
"event_fraction_of_dense": 0.07315722264020086
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"T": 25,
|
| 965 |
+
"arm": "ftbc",
|
| 966 |
+
"acc": 0.8257142857142857,
|
| 967 |
+
"syn_per_inference": 3023309.375,
|
| 968 |
+
"dense_per_inference": 30668800.0,
|
| 969 |
+
"event_fraction_of_dense": 0.09857931758008139
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"T": 25,
|
| 973 |
+
"arm": "both",
|
| 974 |
+
"acc": 0.81,
|
| 975 |
+
"syn_per_inference": 2707661.5560064935,
|
| 976 |
+
"dense_per_inference": 30668800.0,
|
| 977 |
+
"event_fraction_of_dense": 0.08828716989274095
|
| 978 |
},
|
| 979 |
{
|
| 980 |
"T": 50,
|
| 981 |
+
"arm": "raw",
|
| 982 |
+
"acc": 0.935,
|
| 983 |
+
"syn_per_inference": 2919362.8060064935,
|
| 984 |
"dense_per_inference": 61337600.0,
|
| 985 |
+
"event_fraction_of_dense": 0.047594995663451024
|
| 986 |
+
},
|
| 987 |
+
{
|
| 988 |
+
"T": 50,
|
| 989 |
+
"arm": "thresh",
|
| 990 |
+
"acc": 0.9371428571428572,
|
| 991 |
+
"syn_per_inference": 2426220.323051948,
|
| 992 |
+
"dense_per_inference": 61337600.0,
|
| 993 |
+
"event_fraction_of_dense": 0.039555188384481105
|
| 994 |
+
},
|
| 995 |
+
{
|
| 996 |
+
"T": 50,
|
| 997 |
+
"arm": "ftbc",
|
| 998 |
+
"acc": 0.9107142857142857,
|
| 999 |
+
"syn_per_inference": 3453336.166396104,
|
| 1000 |
+
"dense_per_inference": 61337600.0,
|
| 1001 |
+
"event_fraction_of_dense": 0.05630047746237388
|
| 1002 |
+
},
|
| 1003 |
+
{
|
| 1004 |
+
"T": 50,
|
| 1005 |
+
"arm": "both",
|
| 1006 |
+
"acc": 0.905,
|
| 1007 |
+
"syn_per_inference": 2956368.487824675,
|
| 1008 |
+
"dense_per_inference": 61337600.0,
|
| 1009 |
+
"event_fraction_of_dense": 0.04819830720185784
|
| 1010 |
},
|
| 1011 |
{
|
| 1012 |
"T": 100,
|
| 1013 |
+
"arm": "raw",
|
| 1014 |
+
"acc": 0.9442857142857143,
|
| 1015 |
+
"syn_per_inference": 3270968.9375,
|
| 1016 |
"dense_per_inference": 122675200.0,
|
| 1017 |
+
"event_fraction_of_dense": 0.026663652779860967
|
| 1018 |
+
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1019 |
{
|
| 1020 |
+
"T": 100,
|
| 1021 |
+
"arm": "thresh",
|
| 1022 |
+
"acc": 0.9292857142857143,
|
| 1023 |
+
"syn_per_inference": 2701710.5844155843,
|
| 1024 |
+
"dense_per_inference": 122675200.0,
|
| 1025 |
+
"event_fraction_of_dense": 0.02202328249243192
|
|
|
|
| 1026 |
},
|
| 1027 |
{
|
| 1028 |
+
"T": 100,
|
| 1029 |
+
"arm": "ftbc",
|
| 1030 |
+
"acc": 0.9342857142857143,
|
| 1031 |
+
"syn_per_inference": 3888789.481331169,
|
| 1032 |
+
"dense_per_inference": 122675200.0,
|
| 1033 |
+
"event_fraction_of_dense": 0.031699882953776876
|
|
|
|
| 1034 |
},
|
| 1035 |
{
|
| 1036 |
+
"T": 100,
|
| 1037 |
+
"arm": "both",
|
| 1038 |
+
"acc": 0.9207142857142857,
|
| 1039 |
+
"syn_per_inference": 3266400.9139610385,
|
| 1040 |
+
"dense_per_inference": 122675200.0,
|
| 1041 |
+
"event_fraction_of_dense": 0.02662641604791383
|
|
|
|
| 1042 |
}
|
| 1043 |
],
|
| 1044 |
+
"calibration_reference": "same network at full T (NOT a source ANN)"
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1045 |
},
|
| 1046 |
"config": {
|
| 1047 |
"method": "harmonic_matched",
|
|
|
|
| 1081 |
"decision_margin": 2.0,
|
| 1082 |
"export": false,
|
| 1083 |
"seed": 1234,
|
| 1084 |
+
"hub_dir": "/kaggle/working/hub/opt03_ftbc_threshold_balance/default",
|
| 1085 |
"repo_id": "UWU-R-13/SSVEP-SNN",
|
| 1086 |
"push_hf": false,
|
| 1087 |
"keep_epoch_weights": 1,
|
|
|
|
| 1092 |
"bench_warmup": 10,
|
| 1093 |
"bench_iters": 50,
|
| 1094 |
"bench_train_steps": 20,
|
| 1095 |
+
"calibrate_thresh": true,
|
| 1096 |
+
"calib_percentile": 99.9,
|
| 1097 |
+
"calib_batches": 8,
|
| 1098 |
+
"ftbc": true,
|
| 1099 |
+
"ftbc_target_ticks": 8,
|
| 1100 |
+
"ftbc_ref_ticks": 0,
|
| 1101 |
+
"ftbc_lr": 1.0,
|
| 1102 |
"t_sweep": "4,8,16,25,50,100",
|
| 1103 |
"sampling_rate": 250.0
|
| 1104 |
}
|
| 1105 |
},
|
| 1106 |
"zip": {
|
| 1107 |
+
"name": "default.zip",
|
| 1108 |
"files": 81,
|
| 1109 |
+
"bytes": 12251189,
|
| 1110 |
"MB": 12.3,
|
| 1111 |
+
"sha256": "a2408411059da5b902543faccd650a7826414bf770223e315a19896579a36f61"
|
| 1112 |
}
|
| 1113 |
}
|
| 1114 |
]
|