update APPLIED run index
Browse files- applied/_index/APPLIED_RUNS_INDEX.json +1338 -832
applied/_index/APPLIED_RUNS_INDEX.json
CHANGED
|
@@ -1,106 +1,245 @@
|
|
| 1 |
[
|
| 2 |
{
|
| 3 |
-
"key": "
|
| 4 |
-
"tag": "
|
| 5 |
-
"script": "
|
| 6 |
-
"hf_folder": "applied/
|
| 7 |
-
"phase":
|
| 8 |
"status": "ok",
|
| 9 |
-
"duration_s":
|
| 10 |
-
"optimization_summary":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 11 |
"zip": {
|
| 12 |
-
"name": "
|
| 13 |
-
"files":
|
| 14 |
-
"bytes":
|
| 15 |
-
"MB": 12.
|
| 16 |
-
"sha256": "
|
| 17 |
}
|
| 18 |
},
|
| 19 |
{
|
| 20 |
-
"key": "opt01_ttfs_dta/
|
| 21 |
-
"tag": "
|
| 22 |
"script": "opt01_ttfs_dta.py",
|
| 23 |
"hf_folder": "applied/opt01_ttfs_dta",
|
| 24 |
-
"phase":
|
| 25 |
"status": "ok",
|
| 26 |
-
"duration_s":
|
| 27 |
"optimization_summary": {
|
| 28 |
"optimization": "ttfs_dta",
|
| 29 |
"research_section": "2. Temporal-Dimension Reduction (TTFS coding / DTA-TTFS)",
|
| 30 |
"reference": "Software-Level Optimizations for Spiking Neural Network Inference on ARM Architectures: A Deep-Dive into the Jetson Nano Ecosystem (research.md SS2)",
|
| 31 |
"script": "opt01_ttfs_dta.py",
|
| 32 |
-
"baseline_mode":
|
| 33 |
"method": "harmonic_matched",
|
| 34 |
"accuracy": {
|
| 35 |
-
"test_acc": 0.
|
| 36 |
-
"test_target_acc": 0.
|
| 37 |
-
"best_val_acc": 0.
|
| 38 |
},
|
| 39 |
"efficiency": {
|
| 40 |
"spikes_per_inference": null,
|
| 41 |
-
"syn_ops_per_inference":
|
| 42 |
"dense_macs_per_inference": 122675200.0,
|
| 43 |
-
"event_fraction_of_dense": 0.
|
| 44 |
-
"syn_ops_per_inference_dense_fanout":
|
| 45 |
"weight_sparsity": 0.7324707846410685,
|
| 46 |
-
"effective_ticks":
|
| 47 |
"num_ticks": 100,
|
| 48 |
"membrane_bytes_per_inference": 451200,
|
| 49 |
"weight_bytes": 4907008,
|
| 50 |
"input_raster_bytes": null,
|
| 51 |
-
"train_ms_per_step": 95.
|
| 52 |
-
"infer_ms_per_sample": 0.
|
| 53 |
-
"peak_vram_mb":
|
| 54 |
},
|
| 55 |
"optimization_specific": {
|
| 56 |
-
"ttfs":
|
| 57 |
-
"dta":
|
| 58 |
-
"readout": "
|
| 59 |
"ttfs_halt_k": 1,
|
| 60 |
-
"dta_target_rate":
|
| 61 |
-
"dta_momentum":
|
| 62 |
-
"spikes_per_neuron_per_inference":
|
| 63 |
-
"ttfs_budget_respected":
|
| 64 |
-
"frac_neurons_that_ever_fire": 0.
|
| 65 |
-
"mean_first_spike_tick":
|
| 66 |
"per_layer_ttfs": [
|
| 67 |
{
|
| 68 |
"layer": 0,
|
| 69 |
"neurons": 320,
|
| 70 |
-
"spikes_per_neuron_per_inference":
|
| 71 |
-
"frac_neurons_that_ever_fire": 0.
|
| 72 |
-
"mean_first_spike_tick":
|
| 73 |
},
|
| 74 |
{
|
| 75 |
"layer": 1,
|
| 76 |
"neurons": 512,
|
| 77 |
-
"spikes_per_neuron_per_inference":
|
| 78 |
-
"frac_neurons_that_ever_fire": 0.
|
| 79 |
-
"mean_first_spike_tick":
|
| 80 |
},
|
| 81 |
{
|
| 82 |
"layer": 2,
|
| 83 |
"neurons": 256,
|
| 84 |
-
"spikes_per_neuron_per_inference":
|
| 85 |
-
"frac_neurons_that_ever_fire": 0.
|
| 86 |
-
"mean_first_spike_tick":
|
| 87 |
},
|
| 88 |
{
|
| 89 |
"layer": 3,
|
| 90 |
"neurons": 40,
|
| 91 |
-
"spikes_per_neuron_per_inference":
|
| 92 |
-
"frac_neurons_that_ever_fire": 0.
|
| 93 |
-
"mean_first_spike_tick":
|
| 94 |
}
|
| 95 |
],
|
| 96 |
-
"mean_halt_tick":
|
| 97 |
-
"effective_ticks":
|
| 98 |
-
"ticks_saved_frac": 0.
|
| 99 |
"num_ticks": 100,
|
| 100 |
-
"dta_thr_min":
|
| 101 |
-
"dta_thr_max":
|
| 102 |
-
"dta_thr_mean":
|
| 103 |
-
"base_thresh":
|
| 104 |
},
|
| 105 |
"config": {
|
| 106 |
"method": "harmonic_matched",
|
|
@@ -128,7 +267,7 @@
|
|
| 128 |
"no_batchnorm": false,
|
| 129 |
"binary_input": false,
|
| 130 |
"beta": 1.0,
|
| 131 |
-
"thresh":
|
| 132 |
"window": 0.5,
|
| 133 |
"gain": 1.0,
|
| 134 |
"alpha": 0.9,
|
|
@@ -140,13 +279,13 @@
|
|
| 140 |
"decision_margin": 2.0,
|
| 141 |
"export": false,
|
| 142 |
"seed": 1234,
|
| 143 |
-
"hub_dir": "/kaggle/working/hub/opt01_ttfs_dta/
|
| 144 |
"repo_id": "UWU-R-13/SSVEP-SNN",
|
| 145 |
"push_hf": false,
|
| 146 |
"keep_epoch_weights": 1,
|
| 147 |
"no_resume": true,
|
| 148 |
"selftest": false,
|
| 149 |
-
"baseline":
|
| 150 |
"bench": true,
|
| 151 |
"bench_warmup": 10,
|
| 152 |
"bench_iters": 50,
|
|
@@ -154,7 +293,7 @@
|
|
| 154 |
"ttfs": true,
|
| 155 |
"ttfs_halt_k": 1,
|
| 156 |
"dta": true,
|
| 157 |
-
"dta_target_rate": 0.
|
| 158 |
"dta_readout_rate": 0.95,
|
| 159 |
"ttfs_logit_scale": 10.0,
|
| 160 |
"dta_momentum": 0.1,
|
|
@@ -165,21 +304,21 @@
|
|
| 165 |
}
|
| 166 |
},
|
| 167 |
"zip": {
|
| 168 |
-
"name": "
|
| 169 |
-
"files":
|
| 170 |
-
"bytes":
|
| 171 |
-
"MB":
|
| 172 |
-
"sha256": "
|
| 173 |
}
|
| 174 |
},
|
| 175 |
{
|
| 176 |
-
"key": "opt01_ttfs_dta/
|
| 177 |
-
"tag": "
|
| 178 |
"script": "opt01_ttfs_dta.py",
|
| 179 |
"hf_folder": "applied/opt01_ttfs_dta",
|
| 180 |
-
"phase":
|
| 181 |
"status": "ok",
|
| 182 |
-
"duration_s":
|
| 183 |
"optimization_summary": {
|
| 184 |
"optimization": "ttfs_dta",
|
| 185 |
"research_section": "2. Temporal-Dimension Reduction (TTFS coding / DTA-TTFS)",
|
|
@@ -188,74 +327,74 @@
|
|
| 188 |
"baseline_mode": false,
|
| 189 |
"method": "harmonic_matched",
|
| 190 |
"accuracy": {
|
| 191 |
-
"test_acc": 0.
|
| 192 |
-
"test_target_acc": 0.
|
| 193 |
-
"best_val_acc": 0.
|
| 194 |
},
|
| 195 |
"efficiency": {
|
| 196 |
"spikes_per_inference": null,
|
| 197 |
-
"syn_ops_per_inference":
|
| 198 |
"dense_macs_per_inference": 122675200.0,
|
| 199 |
-
"event_fraction_of_dense": 0.
|
| 200 |
-
"syn_ops_per_inference_dense_fanout":
|
| 201 |
"weight_sparsity": 0.7324707846410685,
|
| 202 |
"effective_ticks": 100.0,
|
| 203 |
"num_ticks": 100,
|
| 204 |
"membrane_bytes_per_inference": 451200,
|
| 205 |
"weight_bytes": 4907008,
|
| 206 |
"input_raster_bytes": null,
|
| 207 |
-
"train_ms_per_step":
|
| 208 |
-
"infer_ms_per_sample": 0.
|
| 209 |
-
"peak_vram_mb": 2909.
|
| 210 |
},
|
| 211 |
"optimization_specific": {
|
| 212 |
"ttfs": true,
|
| 213 |
"dta": true,
|
| 214 |
"readout": "ttfs",
|
| 215 |
"ttfs_halt_k": 1,
|
| 216 |
-
"dta_target_rate": 0.
|
| 217 |
"dta_momentum": 0.1,
|
| 218 |
-
"spikes_per_neuron_per_inference": 0.
|
| 219 |
"ttfs_budget_respected": true,
|
| 220 |
-
"frac_neurons_that_ever_fire": 0.
|
| 221 |
-
"mean_first_spike_tick":
|
| 222 |
"per_layer_ttfs": [
|
| 223 |
{
|
| 224 |
"layer": 0,
|
| 225 |
"neurons": 320,
|
| 226 |
-
"spikes_per_neuron_per_inference": 0.
|
| 227 |
-
"frac_neurons_that_ever_fire": 0.
|
| 228 |
-
"mean_first_spike_tick":
|
| 229 |
},
|
| 230 |
{
|
| 231 |
"layer": 1,
|
| 232 |
"neurons": 512,
|
| 233 |
-
"spikes_per_neuron_per_inference": 0.
|
| 234 |
-
"frac_neurons_that_ever_fire": 0.
|
| 235 |
-
"mean_first_spike_tick":
|
| 236 |
},
|
| 237 |
{
|
| 238 |
"layer": 2,
|
| 239 |
"neurons": 256,
|
| 240 |
-
"spikes_per_neuron_per_inference": 0.
|
| 241 |
-
"frac_neurons_that_ever_fire": 0.
|
| 242 |
-
"mean_first_spike_tick":
|
| 243 |
},
|
| 244 |
{
|
| 245 |
"layer": 3,
|
| 246 |
"neurons": 40,
|
| 247 |
-
"spikes_per_neuron_per_inference": 0.
|
| 248 |
-
"frac_neurons_that_ever_fire": 0.
|
| 249 |
-
"mean_first_spike_tick":
|
| 250 |
}
|
| 251 |
],
|
| 252 |
-
"mean_halt_tick":
|
| 253 |
-
"effective_ticks":
|
| 254 |
-
"ticks_saved_frac": 0.
|
| 255 |
"num_ticks": 100,
|
| 256 |
"dta_thr_min": 10.0,
|
| 257 |
-
"dta_thr_max":
|
| 258 |
-
"dta_thr_mean":
|
| 259 |
"base_thresh": 10.0
|
| 260 |
},
|
| 261 |
"config": {
|
|
@@ -296,7 +435,7 @@
|
|
| 296 |
"decision_margin": 2.0,
|
| 297 |
"export": false,
|
| 298 |
"seed": 1234,
|
| 299 |
-
"hub_dir": "/kaggle/working/hub/opt01_ttfs_dta/
|
| 300 |
"repo_id": "UWU-R-13/SSVEP-SNN",
|
| 301 |
"push_hf": false,
|
| 302 |
"keep_epoch_weights": 1,
|
|
@@ -310,7 +449,7 @@
|
|
| 310 |
"ttfs": true,
|
| 311 |
"ttfs_halt_k": 1,
|
| 312 |
"dta": true,
|
| 313 |
-
"dta_target_rate": 0.
|
| 314 |
"dta_readout_rate": 0.95,
|
| 315 |
"ttfs_logit_scale": 10.0,
|
| 316 |
"dta_momentum": 0.1,
|
|
@@ -321,75 +460,98 @@
|
|
| 321 |
}
|
| 322 |
},
|
| 323 |
"zip": {
|
| 324 |
-
"name": "
|
| 325 |
"files": 80,
|
| 326 |
-
"bytes":
|
| 327 |
-
"MB": 12.
|
| 328 |
-
"sha256": "
|
| 329 |
}
|
| 330 |
},
|
| 331 |
{
|
| 332 |
-
"key": "
|
| 333 |
-
"tag": "
|
| 334 |
-
"script": "
|
| 335 |
-
"hf_folder": "applied/
|
| 336 |
-
"phase":
|
| 337 |
"status": "ok",
|
| 338 |
-
"duration_s":
|
| 339 |
"optimization_summary": {
|
| 340 |
-
"optimization": "
|
| 341 |
-
"research_section": "2. Temporal-
|
| 342 |
-
"reference": "
|
| 343 |
-
"script": "
|
| 344 |
-
"baseline_mode":
|
| 345 |
"method": "harmonic_matched",
|
| 346 |
"accuracy": {
|
| 347 |
-
"test_acc": 0.
|
| 348 |
-
"test_target_acc": 0.
|
| 349 |
-
"best_val_acc": 0.
|
| 350 |
},
|
| 351 |
"efficiency": {
|
| 352 |
"spikes_per_inference": null,
|
| 353 |
-
"syn_ops_per_inference":
|
| 354 |
"dense_macs_per_inference": 122675200.0,
|
| 355 |
-
"event_fraction_of_dense": 0.
|
| 356 |
-
"syn_ops_per_inference_dense_fanout":
|
| 357 |
"weight_sparsity": 0.7324707846410685,
|
| 358 |
-
"effective_ticks":
|
| 359 |
"num_ticks": 100,
|
| 360 |
"membrane_bytes_per_inference": 451200,
|
| 361 |
"weight_bytes": 4907008,
|
| 362 |
"input_raster_bytes": null,
|
| 363 |
-
"train_ms_per_step":
|
| 364 |
-
"infer_ms_per_sample": 0.
|
| 365 |
-
"peak_vram_mb":
|
| 366 |
},
|
| 367 |
"optimization_specific": {
|
| 368 |
-
"
|
| 369 |
-
"
|
| 370 |
-
"
|
| 371 |
-
"
|
| 372 |
-
"
|
| 373 |
-
"
|
| 374 |
-
"
|
| 375 |
-
"
|
| 376 |
-
"
|
| 377 |
-
"
|
| 378 |
-
"
|
| 379 |
-
|
| 380 |
-
|
| 381 |
-
|
| 382 |
-
|
| 383 |
-
|
| 384 |
-
|
| 385 |
-
|
| 386 |
-
|
| 387 |
-
|
| 388 |
-
|
| 389 |
-
|
| 390 |
-
|
| 391 |
-
|
| 392 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 393 |
},
|
| 394 |
"config": {
|
| 395 |
"method": "harmonic_matched",
|
|
@@ -417,11 +579,11 @@
|
|
| 417 |
"no_batchnorm": false,
|
| 418 |
"binary_input": false,
|
| 419 |
"beta": 1.0,
|
| 420 |
-
"thresh":
|
| 421 |
"window": 0.5,
|
| 422 |
"gain": 1.0,
|
| 423 |
"alpha": 0.9,
|
| 424 |
-
"readout": "
|
| 425 |
"fake_quant": 0,
|
| 426 |
"amp": false,
|
| 427 |
"spike_reg": 0.0,
|
|
@@ -429,45 +591,46 @@
|
|
| 429 |
"decision_margin": 2.0,
|
| 430 |
"export": false,
|
| 431 |
"seed": 1234,
|
| 432 |
-
"
|
| 433 |
-
"bench": true,
|
| 434 |
-
"bench_warmup": 10,
|
| 435 |
-
"bench_iters": 50,
|
| 436 |
-
"bench_train_steps": 20,
|
| 437 |
-
"anytime_fracs": "0.25,0.5,1.0",
|
| 438 |
-
"anytime_weights": "0.3,0.3,1.0",
|
| 439 |
-
"ic_layer": 0,
|
| 440 |
-
"ic_loss_weight": 0.3,
|
| 441 |
-
"bayes_fusion": false,
|
| 442 |
-
"fusion_prior_weight": 1.0,
|
| 443 |
-
"conf_threshold": 0.9,
|
| 444 |
-
"conf_temp": 2.0,
|
| 445 |
-
"conf_sweep": "0.5,0.7,0.8,0.9,0.95,0.99",
|
| 446 |
-
"hub_dir": "/kaggle/working/hub/opt02_seenn_bayes/control_baseline",
|
| 447 |
"repo_id": "UWU-R-13/SSVEP-SNN",
|
| 448 |
"push_hf": false,
|
| 449 |
"keep_epoch_weights": 1,
|
| 450 |
"no_resume": true,
|
| 451 |
"selftest": false,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 452 |
"sampling_rate": 250.0
|
| 453 |
}
|
| 454 |
},
|
| 455 |
"zip": {
|
| 456 |
-
"name": "
|
| 457 |
"files": 80,
|
| 458 |
-
"bytes":
|
| 459 |
-
"MB": 12.
|
| 460 |
-
"sha256": "
|
| 461 |
}
|
| 462 |
},
|
| 463 |
{
|
| 464 |
-
"key": "opt02_seenn_bayes/
|
| 465 |
-
"tag": "
|
| 466 |
"script": "opt02_seenn_bayes.py",
|
| 467 |
"hf_folder": "applied/opt02_seenn_bayes",
|
| 468 |
-
"phase":
|
| 469 |
"status": "ok",
|
| 470 |
-
"duration_s":
|
| 471 |
"optimization_summary": {
|
| 472 |
"optimization": "seenn_early_exit_bayesian_fusion",
|
| 473 |
"research_section": "2. Temporal-dimension reduction",
|
|
@@ -476,46 +639,46 @@
|
|
| 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": 123955200.0,
|
| 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": 10914.
|
| 498 |
-
"syn_ops_per_inference_early_exit":
|
| 499 |
},
|
| 500 |
"optimization_specific": {
|
| 501 |
"seenn_enabled": true,
|
| 502 |
"bayes_fusion_enabled": true,
|
| 503 |
-
"conf_threshold": 0.
|
| 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":
|
| 510 |
-
"mean_exit_ms":
|
| 511 |
-
"ticks_saved_frac": 0.
|
| 512 |
"exit_tick_histogram": {
|
| 513 |
"counts": [
|
| 514 |
-
|
| 515 |
-
|
| 516 |
-
39,
|
| 517 |
4,
|
| 518 |
-
|
|
|
|
| 519 |
0,
|
| 520 |
0,
|
| 521 |
0,
|
|
@@ -536,54 +699,54 @@
|
|
| 536 |
100.0
|
| 537 |
]
|
| 538 |
},
|
| 539 |
-
"acc_fc_only": 0.
|
| 540 |
"acc_ic_only": 0.935,
|
| 541 |
-
"acc_fused": 0.
|
| 542 |
-
"acc_early_exit": 0.
|
| 543 |
-
"syn_ops_saved_frac": 0.
|
| 544 |
-
"syn_per_inference_early_exit":
|
| 545 |
"anytime_acc": {
|
| 546 |
-
"0.25": 0.
|
| 547 |
-
"0.5": 0.
|
| 548 |
-
"0.75": 0.
|
| 549 |
-
"1.0": 0.
|
| 550 |
},
|
| 551 |
"pareto": [
|
| 552 |
{
|
| 553 |
"conf": 0.5,
|
| 554 |
-
"mean_ticks": 4.
|
| 555 |
-
"acc": 0.
|
| 556 |
-
"syn_ops":
|
| 557 |
},
|
| 558 |
{
|
| 559 |
"conf": 0.7,
|
| 560 |
-
"mean_ticks": 5.
|
| 561 |
-
"acc": 0.
|
| 562 |
-
"syn_ops":
|
| 563 |
},
|
| 564 |
{
|
| 565 |
"conf": 0.8,
|
| 566 |
-
"mean_ticks":
|
| 567 |
-
"acc": 0.
|
| 568 |
-
"syn_ops":
|
| 569 |
},
|
| 570 |
{
|
| 571 |
"conf": 0.9,
|
| 572 |
-
"mean_ticks":
|
| 573 |
-
"acc": 0.
|
| 574 |
-
"syn_ops":
|
| 575 |
},
|
| 576 |
{
|
| 577 |
"conf": 0.95,
|
| 578 |
-
"mean_ticks": 10.
|
| 579 |
-
"acc": 0.
|
| 580 |
-
"syn_ops":
|
| 581 |
},
|
| 582 |
{
|
| 583 |
"conf": 0.99,
|
| 584 |
-
"mean_ticks": 14.
|
| 585 |
-
"acc": 0.
|
| 586 |
-
"syn_ops":
|
| 587 |
}
|
| 588 |
]
|
| 589 |
},
|
|
@@ -636,10 +799,10 @@
|
|
| 636 |
"ic_loss_weight": 0.3,
|
| 637 |
"bayes_fusion": true,
|
| 638 |
"fusion_prior_weight": 1.0,
|
| 639 |
-
"conf_threshold": 0.
|
| 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/
|
| 643 |
"repo_id": "UWU-R-13/SSVEP-SNN",
|
| 644 |
"push_hf": false,
|
| 645 |
"keep_epoch_weights": 1,
|
|
@@ -649,80 +812,871 @@
|
|
| 649 |
}
|
| 650 |
},
|
| 651 |
"zip": {
|
| 652 |
-
"name": "
|
| 653 |
"files": 81,
|
| 654 |
-
"bytes":
|
| 655 |
"MB": 12.6,
|
| 656 |
-
"sha256": "
|
| 657 |
}
|
| 658 |
},
|
| 659 |
{
|
| 660 |
-
"key": "
|
| 661 |
-
"tag": "
|
| 662 |
-
"script": "
|
| 663 |
-
"hf_folder": "applied/
|
| 664 |
-
"phase":
|
| 665 |
"status": "ok",
|
| 666 |
-
"duration_s":
|
| 667 |
"optimization_summary": {
|
| 668 |
-
"optimization": "
|
| 669 |
-
"research_section": "2. Temporal-
|
| 670 |
-
"reference": "
|
| 671 |
-
"script": "
|
| 672 |
-
"baseline_mode":
|
| 673 |
"method": "harmonic_matched",
|
| 674 |
"accuracy": {
|
| 675 |
-
"test_acc": 0.
|
| 676 |
-
"test_target_acc": 0.
|
| 677 |
-
"best_val_acc": 0.
|
| 678 |
},
|
| 679 |
"efficiency": {
|
| 680 |
"spikes_per_inference": null,
|
| 681 |
-
"syn_ops_per_inference":
|
| 682 |
-
"dense_macs_per_inference":
|
| 683 |
-
"event_fraction_of_dense": 0.
|
| 684 |
-
"syn_ops_per_inference_dense_fanout":
|
| 685 |
"weight_sparsity": 0.7324707846410685,
|
| 686 |
-
"effective_ticks":
|
| 687 |
"num_ticks": 100,
|
| 688 |
"membrane_bytes_per_inference": 451200,
|
| 689 |
"weight_bytes": 4907008,
|
| 690 |
"input_raster_bytes": null,
|
| 691 |
-
"train_ms_per_step":
|
| 692 |
-
"infer_ms_per_sample": 0.
|
| 693 |
-
"peak_vram_mb":
|
|
|
|
| 694 |
},
|
| 695 |
"optimization_specific": {
|
| 696 |
-
"
|
| 697 |
-
"
|
| 698 |
-
"
|
| 699 |
-
"
|
| 700 |
-
"
|
| 701 |
-
"
|
| 702 |
-
"
|
| 703 |
-
"
|
| 704 |
-
|
| 705 |
-
|
| 706 |
-
|
| 707 |
-
|
| 708 |
-
|
| 709 |
-
|
| 710 |
-
|
| 711 |
-
|
| 712 |
-
|
| 713 |
-
|
| 714 |
-
|
| 715 |
-
|
| 716 |
-
|
| 717 |
-
|
| 718 |
-
|
| 719 |
-
|
| 720 |
-
|
| 721 |
-
|
| 722 |
-
|
| 723 |
-
|
| 724 |
-
|
| 725 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 726 |
"class_weight": false,
|
| 727 |
"epochs": 60,
|
| 728 |
"batch_size": 64,
|
|
@@ -752,19 +1706,19 @@
|
|
| 752 |
"decision_margin": 2.0,
|
| 753 |
"export": false,
|
| 754 |
"seed": 1234,
|
| 755 |
-
"hub_dir": "/kaggle/working/hub/opt03_ftbc_threshold_balance/
|
| 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":
|
| 762 |
"bench": true,
|
| 763 |
"bench_warmup": 10,
|
| 764 |
"bench_iters": 50,
|
| 765 |
"bench_train_steps": 20,
|
| 766 |
"calibrate_thresh": true,
|
| 767 |
-
"calib_percentile":
|
| 768 |
"calib_batches": 8,
|
| 769 |
"ftbc": true,
|
| 770 |
"ftbc_target_ticks": 8,
|
|
@@ -775,21 +1729,21 @@
|
|
| 775 |
}
|
| 776 |
},
|
| 777 |
"zip": {
|
| 778 |
-
"name": "
|
| 779 |
-
"files":
|
| 780 |
-
"bytes":
|
| 781 |
"MB": 12.2,
|
| 782 |
-
"sha256": "
|
| 783 |
}
|
| 784 |
},
|
| 785 |
{
|
| 786 |
-
"key": "opt03_ftbc_threshold_balance/
|
| 787 |
-
"tag": "
|
| 788 |
"script": "opt03_ftbc_threshold_balance.py",
|
| 789 |
"hf_folder": "applied/opt03_ftbc_threshold_balance",
|
| 790 |
-
"phase":
|
| 791 |
"status": "ok",
|
| 792 |
-
"duration_s":
|
| 793 |
"optimization_summary": {
|
| 794 |
"optimization": "ftbc_threshold_balance",
|
| 795 |
"research_section": "2. Temporal-Dimension Reduction (threshold balancing + FTBC)",
|
|
@@ -798,30 +1752,30 @@
|
|
| 798 |
"baseline_mode": false,
|
| 799 |
"method": "harmonic_matched",
|
| 800 |
"accuracy": {
|
| 801 |
-
"test_acc": 0.
|
| 802 |
-
"test_target_acc": 0.
|
| 803 |
"best_val_acc": 0.945
|
| 804 |
},
|
| 805 |
"efficiency": {
|
| 806 |
"spikes_per_inference": null,
|
| 807 |
-
"syn_ops_per_inference":
|
| 808 |
"dense_macs_per_inference": 122675200.0,
|
| 809 |
-
"event_fraction_of_dense": 0.
|
| 810 |
-
"syn_ops_per_inference_dense_fanout":
|
| 811 |
"weight_sparsity": 0.7324707846410685,
|
| 812 |
-
"effective_ticks": 12.
|
| 813 |
"num_ticks": 100,
|
| 814 |
"membrane_bytes_per_inference": 451200,
|
| 815 |
"weight_bytes": 4907008,
|
| 816 |
"input_raster_bytes": null,
|
| 817 |
-
"train_ms_per_step":
|
| 818 |
-
"infer_ms_per_sample": 0.
|
| 819 |
-
"peak_vram_mb":
|
| 820 |
},
|
| 821 |
"optimization_specific": {
|
| 822 |
"calibrate_thresh": true,
|
| 823 |
"ftbc": true,
|
| 824 |
-
"calib_percentile": 99.
|
| 825 |
"calib_batches": 8,
|
| 826 |
"ftbc_target_ticks": 8,
|
| 827 |
"ftbc_ref_ticks": 100,
|
|
@@ -833,212 +1787,212 @@
|
|
| 833 |
1.0
|
| 834 |
],
|
| 835 |
"thresh_after": [
|
| 836 |
-
|
| 837 |
-
0.
|
| 838 |
-
|
| 839 |
-
2.
|
| 840 |
],
|
| 841 |
"min_ticks_within_1pct_of_full": null,
|
| 842 |
"min_ticks_within_1pct_per_arm": {
|
| 843 |
-
"raw":
|
| 844 |
-
"thresh":
|
| 845 |
"ftbc": 100,
|
| 846 |
"both": null
|
| 847 |
},
|
| 848 |
"speedup_at_min_ticks": null,
|
| 849 |
-
"full_T_acc": 0.
|
| 850 |
"t_sweep_rows": [
|
| 851 |
{
|
| 852 |
"T": 4,
|
| 853 |
"arm": "raw",
|
| 854 |
-
"acc": 0.
|
| 855 |
-
"syn_per_inference":
|
| 856 |
"dense_per_inference": 4907008.0,
|
| 857 |
-
"event_fraction_of_dense": 0.
|
| 858 |
},
|
| 859 |
{
|
| 860 |
"T": 4,
|
| 861 |
"arm": "thresh",
|
| 862 |
-
"acc": 0.
|
| 863 |
-
"syn_per_inference":
|
| 864 |
"dense_per_inference": 4907008.0,
|
| 865 |
-
"event_fraction_of_dense": 0.
|
| 866 |
},
|
| 867 |
{
|
| 868 |
"T": 4,
|
| 869 |
"arm": "ftbc",
|
| 870 |
-
"acc": 0.
|
| 871 |
-
"syn_per_inference":
|
| 872 |
"dense_per_inference": 4907008.0,
|
| 873 |
-
"event_fraction_of_dense": 0.
|
| 874 |
},
|
| 875 |
{
|
| 876 |
"T": 4,
|
| 877 |
"arm": "both",
|
| 878 |
-
"acc": 0.
|
| 879 |
-
"syn_per_inference":
|
| 880 |
"dense_per_inference": 4907008.0,
|
| 881 |
-
"event_fraction_of_dense": 0.
|
| 882 |
},
|
| 883 |
{
|
| 884 |
"T": 8,
|
| 885 |
"arm": "raw",
|
| 886 |
-
"acc": 0.
|
| 887 |
-
"syn_per_inference":
|
| 888 |
"dense_per_inference": 9814016.0,
|
| 889 |
-
"event_fraction_of_dense": 0.
|
| 890 |
},
|
| 891 |
{
|
| 892 |
"T": 8,
|
| 893 |
"arm": "thresh",
|
| 894 |
-
"acc": 0.
|
| 895 |
-
"syn_per_inference":
|
| 896 |
"dense_per_inference": 9814016.0,
|
| 897 |
-
"event_fraction_of_dense": 0.
|
| 898 |
},
|
| 899 |
{
|
| 900 |
"T": 8,
|
| 901 |
"arm": "ftbc",
|
| 902 |
-
"acc": 0.
|
| 903 |
-
"syn_per_inference":
|
| 904 |
"dense_per_inference": 9814016.0,
|
| 905 |
-
"event_fraction_of_dense": 0.
|
| 906 |
},
|
| 907 |
{
|
| 908 |
"T": 8,
|
| 909 |
"arm": "both",
|
| 910 |
-
"acc": 0.
|
| 911 |
-
"syn_per_inference":
|
| 912 |
"dense_per_inference": 9814016.0,
|
| 913 |
-
"event_fraction_of_dense": 0.
|
| 914 |
},
|
| 915 |
{
|
| 916 |
"T": 16,
|
| 917 |
"arm": "raw",
|
| 918 |
-
"acc": 0.
|
| 919 |
-
"syn_per_inference":
|
| 920 |
"dense_per_inference": 19628032.0,
|
| 921 |
-
"event_fraction_of_dense": 0.
|
| 922 |
},
|
| 923 |
{
|
| 924 |
"T": 16,
|
| 925 |
"arm": "thresh",
|
| 926 |
-
"acc": 0.
|
| 927 |
-
"syn_per_inference":
|
| 928 |
"dense_per_inference": 19628032.0,
|
| 929 |
-
"event_fraction_of_dense": 0.
|
| 930 |
},
|
| 931 |
{
|
| 932 |
"T": 16,
|
| 933 |
"arm": "ftbc",
|
| 934 |
-
"acc": 0.
|
| 935 |
-
"syn_per_inference":
|
| 936 |
"dense_per_inference": 19628032.0,
|
| 937 |
-
"event_fraction_of_dense": 0.
|
| 938 |
},
|
| 939 |
{
|
| 940 |
"T": 16,
|
| 941 |
"arm": "both",
|
| 942 |
-
"acc": 0.
|
| 943 |
-
"syn_per_inference":
|
| 944 |
"dense_per_inference": 19628032.0,
|
| 945 |
-
"event_fraction_of_dense": 0.
|
| 946 |
},
|
| 947 |
{
|
| 948 |
"T": 25,
|
| 949 |
"arm": "raw",
|
| 950 |
-
"acc": 0.
|
| 951 |
-
"syn_per_inference":
|
| 952 |
"dense_per_inference": 30668800.0,
|
| 953 |
-
"event_fraction_of_dense": 0.
|
| 954 |
},
|
| 955 |
{
|
| 956 |
"T": 25,
|
| 957 |
"arm": "thresh",
|
| 958 |
-
"acc": 0.
|
| 959 |
-
"syn_per_inference":
|
| 960 |
"dense_per_inference": 30668800.0,
|
| 961 |
-
"event_fraction_of_dense": 0.
|
| 962 |
},
|
| 963 |
{
|
| 964 |
"T": 25,
|
| 965 |
"arm": "ftbc",
|
| 966 |
-
"acc": 0.
|
| 967 |
-
"syn_per_inference":
|
| 968 |
"dense_per_inference": 30668800.0,
|
| 969 |
-
"event_fraction_of_dense": 0.
|
| 970 |
},
|
| 971 |
{
|
| 972 |
"T": 25,
|
| 973 |
"arm": "both",
|
| 974 |
-
"acc": 0.
|
| 975 |
-
"syn_per_inference":
|
| 976 |
"dense_per_inference": 30668800.0,
|
| 977 |
-
"event_fraction_of_dense": 0.
|
| 978 |
},
|
| 979 |
{
|
| 980 |
"T": 50,
|
| 981 |
"arm": "raw",
|
| 982 |
-
"acc": 0.
|
| 983 |
-
"syn_per_inference":
|
| 984 |
"dense_per_inference": 61337600.0,
|
| 985 |
-
"event_fraction_of_dense": 0.
|
| 986 |
},
|
| 987 |
{
|
| 988 |
"T": 50,
|
| 989 |
"arm": "thresh",
|
| 990 |
-
"acc": 0.
|
| 991 |
-
"syn_per_inference":
|
| 992 |
"dense_per_inference": 61337600.0,
|
| 993 |
-
"event_fraction_of_dense": 0.
|
| 994 |
},
|
| 995 |
{
|
| 996 |
"T": 50,
|
| 997 |
"arm": "ftbc",
|
| 998 |
-
"acc": 0.
|
| 999 |
-
"syn_per_inference":
|
| 1000 |
"dense_per_inference": 61337600.0,
|
| 1001 |
-
"event_fraction_of_dense": 0.
|
| 1002 |
},
|
| 1003 |
{
|
| 1004 |
"T": 50,
|
| 1005 |
"arm": "both",
|
| 1006 |
-
"acc": 0.
|
| 1007 |
-
"syn_per_inference":
|
| 1008 |
"dense_per_inference": 61337600.0,
|
| 1009 |
-
"event_fraction_of_dense": 0.
|
| 1010 |
},
|
| 1011 |
{
|
| 1012 |
"T": 100,
|
| 1013 |
"arm": "raw",
|
| 1014 |
-
"acc": 0.
|
| 1015 |
-
"syn_per_inference":
|
| 1016 |
"dense_per_inference": 122675200.0,
|
| 1017 |
-
"event_fraction_of_dense": 0.
|
| 1018 |
},
|
| 1019 |
{
|
| 1020 |
"T": 100,
|
| 1021 |
"arm": "thresh",
|
| 1022 |
-
"acc": 0.
|
| 1023 |
-
"syn_per_inference":
|
| 1024 |
"dense_per_inference": 122675200.0,
|
| 1025 |
-
"event_fraction_of_dense": 0.
|
| 1026 |
},
|
| 1027 |
{
|
| 1028 |
"T": 100,
|
| 1029 |
"arm": "ftbc",
|
| 1030 |
-
"acc": 0.
|
| 1031 |
-
"syn_per_inference":
|
| 1032 |
"dense_per_inference": 122675200.0,
|
| 1033 |
-
"event_fraction_of_dense": 0.
|
| 1034 |
},
|
| 1035 |
{
|
| 1036 |
"T": 100,
|
| 1037 |
"arm": "both",
|
| 1038 |
-
"acc": 0.
|
| 1039 |
-
"syn_per_inference":
|
| 1040 |
"dense_per_inference": 122675200.0,
|
| 1041 |
-
"event_fraction_of_dense": 0.
|
| 1042 |
}
|
| 1043 |
],
|
| 1044 |
"calibration_reference": "same network at full T (NOT a source ANN)"
|
|
@@ -1081,7 +2035,7 @@
|
|
| 1081 |
"decision_margin": 2.0,
|
| 1082 |
"export": false,
|
| 1083 |
"seed": 1234,
|
| 1084 |
-
"hub_dir": "/kaggle/working/hub/opt03_ftbc_threshold_balance/
|
| 1085 |
"repo_id": "UWU-R-13/SSVEP-SNN",
|
| 1086 |
"push_hf": false,
|
| 1087 |
"keep_epoch_weights": 1,
|
|
@@ -1093,7 +2047,7 @@
|
|
| 1093 |
"bench_iters": 50,
|
| 1094 |
"bench_train_steps": 20,
|
| 1095 |
"calibrate_thresh": true,
|
| 1096 |
-
"calib_percentile": 99.
|
| 1097 |
"calib_batches": 8,
|
| 1098 |
"ftbc": true,
|
| 1099 |
"ftbc_target_ticks": 8,
|
|
@@ -1104,459 +2058,11 @@
|
|
| 1104 |
}
|
| 1105 |
},
|
| 1106 |
"zip": {
|
| 1107 |
-
"name": "
|
| 1108 |
-
"files": 81,
|
| 1109 |
-
"bytes": 12251189,
|
| 1110 |
-
"MB": 12.3,
|
| 1111 |
-
"sha256": "a2408411059da5b902543faccd650a7826414bf770223e315a19896579a36f61"
|
| 1112 |
-
}
|
| 1113 |
-
},
|
| 1114 |
-
{
|
| 1115 |
-
"key": "opt04_cudagraph_unroll/control_baseline",
|
| 1116 |
-
"tag": "control_baseline",
|
| 1117 |
-
"script": "opt04_cudagraph_unroll.py",
|
| 1118 |
-
"hf_folder": "applied/opt04_cudagraph_unroll",
|
| 1119 |
-
"phase": 1,
|
| 1120 |
-
"status": "ok",
|
| 1121 |
-
"duration_s": 320.6,
|
| 1122 |
-
"optimization_summary": {
|
| 1123 |
-
"optimization": "cudagraph_static_unroll",
|
| 1124 |
-
"research_section": "2. Temporal-dimension reduction / 5. OS & runtime",
|
| 1125 |
-
"reference": "CUDA Graphs static capture/replay applied to the unrolled T-tick event-driven inference loop",
|
| 1126 |
-
"script": "opt04_cudagraph_unroll.py",
|
| 1127 |
-
"baseline_mode": true,
|
| 1128 |
-
"method": "harmonic_matched",
|
| 1129 |
-
"accuracy": {
|
| 1130 |
-
"test_acc": 0.9385714285714286,
|
| 1131 |
-
"test_target_acc": 0.9385714285714286,
|
| 1132 |
-
"best_val_acc": 0.9464285714285714
|
| 1133 |
-
},
|
| 1134 |
-
"efficiency": {
|
| 1135 |
-
"spikes_per_inference": null,
|
| 1136 |
-
"syn_ops_per_inference": 3254834.5267857146,
|
| 1137 |
-
"dense_macs_per_inference": 122675200.0,
|
| 1138 |
-
"event_fraction_of_dense": 0.02653213140704653,
|
| 1139 |
-
"syn_ops_per_inference_dense_fanout": 64831452.31331169,
|
| 1140 |
-
"weight_sparsity": 0.7324707846410685,
|
| 1141 |
-
"effective_ticks": 12.097857142857142,
|
| 1142 |
-
"num_ticks": 100,
|
| 1143 |
-
"membrane_bytes_per_inference": 451200,
|
| 1144 |
-
"weight_bytes": 4907008,
|
| 1145 |
-
"input_raster_bytes": null,
|
| 1146 |
-
"train_ms_per_step": 92.22967624664307,
|
| 1147 |
-
"infer_ms_per_sample": 0.6272434443235397,
|
| 1148 |
-
"peak_vram_mb": 2804.347904
|
| 1149 |
-
},
|
| 1150 |
-
"optimization_specific": {
|
| 1151 |
-
"graph_enabled": false
|
| 1152 |
-
},
|
| 1153 |
-
"config": {
|
| 1154 |
-
"method": "harmonic_matched",
|
| 1155 |
-
"data_root": "/kaggle/working/data",
|
| 1156 |
-
"subjects": "",
|
| 1157 |
-
"blocks": "",
|
| 1158 |
-
"limit": 0,
|
| 1159 |
-
"drop_rest": true,
|
| 1160 |
-
"resplit": "block",
|
| 1161 |
-
"test_blocks": "6",
|
| 1162 |
-
"class_weight": false,
|
| 1163 |
-
"epochs": 60,
|
| 1164 |
-
"batch_size": 64,
|
| 1165 |
-
"lr": 0.002,
|
| 1166 |
-
"weight_decay": 0.0005,
|
| 1167 |
-
"grad_clip": 5.0,
|
| 1168 |
-
"num_bins": 100,
|
| 1169 |
-
"window_sec": 5.0,
|
| 1170 |
-
"hidden": "512,256",
|
| 1171 |
-
"freq_groups": 8,
|
| 1172 |
-
"dropout": 0.3,
|
| 1173 |
-
"spike_drop": 0.1,
|
| 1174 |
-
"time_jitter": 2,
|
| 1175 |
-
"label_smoothing": 0.05,
|
| 1176 |
-
"no_batchnorm": false,
|
| 1177 |
-
"binary_input": false,
|
| 1178 |
-
"beta": 1.0,
|
| 1179 |
-
"thresh": 1.0,
|
| 1180 |
-
"window": 0.5,
|
| 1181 |
-
"gain": 1.0,
|
| 1182 |
-
"alpha": 0.9,
|
| 1183 |
-
"readout": "spikecount",
|
| 1184 |
-
"fake_quant": 0,
|
| 1185 |
-
"amp": false,
|
| 1186 |
-
"spike_reg": 0.0,
|
| 1187 |
-
"event_eval": true,
|
| 1188 |
-
"decision_margin": 2.0,
|
| 1189 |
-
"export": false,
|
| 1190 |
-
"seed": 1234,
|
| 1191 |
-
"hub_dir": "/kaggle/working/hub/opt04_cudagraph_unroll/control_baseline",
|
| 1192 |
-
"repo_id": "UWU-R-13/SSVEP-SNN",
|
| 1193 |
-
"push_hf": false,
|
| 1194 |
-
"keep_epoch_weights": 1,
|
| 1195 |
-
"no_resume": true,
|
| 1196 |
-
"selftest": false,
|
| 1197 |
-
"baseline": true,
|
| 1198 |
-
"bench": true,
|
| 1199 |
-
"bench_warmup": 10,
|
| 1200 |
-
"bench_iters": 50,
|
| 1201 |
-
"bench_train_steps": 20,
|
| 1202 |
-
"event_capacity": 0,
|
| 1203 |
-
"graph_warmup": 3,
|
| 1204 |
-
"bench_batches": "1,8,32,128",
|
| 1205 |
-
"sampling_rate": 250.0
|
| 1206 |
-
}
|
| 1207 |
-
},
|
| 1208 |
-
"zip": {
|
| 1209 |
-
"name": "control_baseline.zip",
|
| 1210 |
-
"files": 80,
|
| 1211 |
-
"bytes": 12254389,
|
| 1212 |
-
"MB": 12.3,
|
| 1213 |
-
"sha256": "90228451e4506fa57fd18dda54312748f259653c71dda8725406593029e0c194"
|
| 1214 |
-
}
|
| 1215 |
-
},
|
| 1216 |
-
{
|
| 1217 |
-
"key": "opt04_cudagraph_unroll/default",
|
| 1218 |
-
"tag": "default",
|
| 1219 |
-
"script": "opt04_cudagraph_unroll.py",
|
| 1220 |
-
"hf_folder": "applied/opt04_cudagraph_unroll",
|
| 1221 |
-
"phase": 1,
|
| 1222 |
-
"status": "ok",
|
| 1223 |
-
"duration_s": 501.8,
|
| 1224 |
-
"optimization_summary": {
|
| 1225 |
-
"optimization": "cudagraph_static_unroll",
|
| 1226 |
-
"research_section": "2. Temporal-dimension reduction / 5. OS & runtime",
|
| 1227 |
-
"reference": "CUDA Graphs static capture/replay applied to the unrolled T-tick event-driven inference loop",
|
| 1228 |
-
"script": "opt04_cudagraph_unroll.py",
|
| 1229 |
-
"baseline_mode": false,
|
| 1230 |
-
"method": "harmonic_matched",
|
| 1231 |
-
"accuracy": {
|
| 1232 |
-
"test_acc": 0.9435714285714286,
|
| 1233 |
-
"test_target_acc": 0.9435714285714286,
|
| 1234 |
-
"best_val_acc": 0.95
|
| 1235 |
-
},
|
| 1236 |
-
"efficiency": {
|
| 1237 |
-
"spikes_per_inference": null,
|
| 1238 |
-
"syn_ops_per_inference": 3255047.327922078,
|
| 1239 |
-
"dense_macs_per_inference": 122675200.0,
|
| 1240 |
-
"event_fraction_of_dense": 0.026533866078246277,
|
| 1241 |
-
"syn_ops_per_inference_dense_fanout": 64831665.11444805,
|
| 1242 |
-
"weight_sparsity": 0.7324707846410685,
|
| 1243 |
-
"effective_ticks": 11.80642857142857,
|
| 1244 |
-
"num_ticks": 100,
|
| 1245 |
-
"membrane_bytes_per_inference": 451200,
|
| 1246 |
-
"weight_bytes": 4907008,
|
| 1247 |
-
"input_raster_bytes": null,
|
| 1248 |
-
"train_ms_per_step": 92.52521991729736,
|
| 1249 |
-
"infer_ms_per_sample": 0.6286457926034927,
|
| 1250 |
-
"peak_vram_mb": 2803.899904
|
| 1251 |
-
},
|
| 1252 |
-
"optimization_specific": {
|
| 1253 |
-
"graph_enabled": true,
|
| 1254 |
-
"event_capacity_scan": {
|
| 1255 |
-
"cap_scan": 98901,
|
| 1256 |
-
"batch_size_scan": 64,
|
| 1257 |
-
"n_batches_scanned": 20,
|
| 1258 |
-
"density_per_sample": 1545.328125,
|
| 1259 |
-
"per_layer_caps": [
|
| 1260 |
-
98901,
|
| 1261 |
-
7501,
|
| 1262 |
-
3379,
|
| 1263 |
-
3291
|
| 1264 |
-
]
|
| 1265 |
-
},
|
| 1266 |
-
"capacity": 98901,
|
| 1267 |
-
"overflow_ticks_frac": 0.0,
|
| 1268 |
-
"graph_vs_eager_pred_agreement": 1.0,
|
| 1269 |
-
"graph_capture_ms": 233.42132568359375,
|
| 1270 |
-
"graphed_acc": 0.9435714285714286,
|
| 1271 |
-
"kernel_launches_eager": 400,
|
| 1272 |
-
"kernel_launches_graphed": 2,
|
| 1273 |
-
"launch_reduction_x": 200.0,
|
| 1274 |
-
"bench_batches": {
|
| 1275 |
-
"1": {
|
| 1276 |
-
"ms_per_sample_eager": 157.8002643585205,
|
| 1277 |
-
"ms_per_sample_graphed": 32.571964263916016,
|
| 1278 |
-
"throughput_eager_samples_per_s": 6.337124998270032,
|
| 1279 |
-
"throughput_graphed_samples_per_s": 30.701249451750854,
|
| 1280 |
-
"speedup_x": 4.844665279623167,
|
| 1281 |
-
"capacity": 1546
|
| 1282 |
-
},
|
| 1283 |
-
"8": {
|
| 1284 |
-
"ms_per_sample_eager": 20.341086983680725,
|
| 1285 |
-
"ms_per_sample_graphed": 12.358421683311462,
|
| 1286 |
-
"throughput_eager_samples_per_s": 49.161581227310094,
|
| 1287 |
-
"throughput_graphed_samples_per_s": 80.91648153990228,
|
| 1288 |
-
"speedup_x": 1.645929189416548,
|
| 1289 |
-
"capacity": 12363
|
| 1290 |
-
},
|
| 1291 |
-
"32": {
|
| 1292 |
-
"ms_per_sample_eager": 5.914023816585541,
|
| 1293 |
-
"ms_per_sample_graphed": 10.751050561666489,
|
| 1294 |
-
"throughput_eager_samples_per_s": 169.08961326729144,
|
| 1295 |
-
"throughput_graphed_samples_per_s": 93.01416584957377,
|
| 1296 |
-
"speedup_x": 0.5500879921142168,
|
| 1297 |
-
"capacity": 49451
|
| 1298 |
-
},
|
| 1299 |
-
"128": {
|
| 1300 |
-
"ms_per_sample_eager": 1.9992999359965324,
|
| 1301 |
-
"ms_per_sample_graphed": 9.524058550596237,
|
| 1302 |
-
"throughput_eager_samples_per_s": 500.17507728351893,
|
| 1303 |
-
"throughput_graphed_samples_per_s": 104.99725455146395,
|
| 1304 |
-
"speedup_x": 0.20992100430455352,
|
| 1305 |
-
"capacity": 197802
|
| 1306 |
-
}
|
| 1307 |
-
},
|
| 1308 |
-
"speedup_x_at_batch1": 4.844665279623167
|
| 1309 |
-
},
|
| 1310 |
-
"config": {
|
| 1311 |
-
"method": "harmonic_matched",
|
| 1312 |
-
"data_root": "/kaggle/working/data",
|
| 1313 |
-
"subjects": "",
|
| 1314 |
-
"blocks": "",
|
| 1315 |
-
"limit": 0,
|
| 1316 |
-
"drop_rest": true,
|
| 1317 |
-
"resplit": "block",
|
| 1318 |
-
"test_blocks": "6",
|
| 1319 |
-
"class_weight": false,
|
| 1320 |
-
"epochs": 60,
|
| 1321 |
-
"batch_size": 64,
|
| 1322 |
-
"lr": 0.002,
|
| 1323 |
-
"weight_decay": 0.0005,
|
| 1324 |
-
"grad_clip": 5.0,
|
| 1325 |
-
"num_bins": 100,
|
| 1326 |
-
"window_sec": 5.0,
|
| 1327 |
-
"hidden": "512,256",
|
| 1328 |
-
"freq_groups": 8,
|
| 1329 |
-
"dropout": 0.3,
|
| 1330 |
-
"spike_drop": 0.1,
|
| 1331 |
-
"time_jitter": 2,
|
| 1332 |
-
"label_smoothing": 0.05,
|
| 1333 |
-
"no_batchnorm": false,
|
| 1334 |
-
"binary_input": false,
|
| 1335 |
-
"beta": 1.0,
|
| 1336 |
-
"thresh": 1.0,
|
| 1337 |
-
"window": 0.5,
|
| 1338 |
-
"gain": 1.0,
|
| 1339 |
-
"alpha": 0.9,
|
| 1340 |
-
"readout": "spikecount",
|
| 1341 |
-
"fake_quant": 0,
|
| 1342 |
-
"amp": false,
|
| 1343 |
-
"spike_reg": 0.0,
|
| 1344 |
-
"event_eval": true,
|
| 1345 |
-
"decision_margin": 2.0,
|
| 1346 |
-
"export": false,
|
| 1347 |
-
"seed": 1234,
|
| 1348 |
-
"hub_dir": "/kaggle/working/hub/opt04_cudagraph_unroll/default",
|
| 1349 |
-
"repo_id": "UWU-R-13/SSVEP-SNN",
|
| 1350 |
-
"push_hf": false,
|
| 1351 |
-
"keep_epoch_weights": 1,
|
| 1352 |
-
"no_resume": true,
|
| 1353 |
-
"selftest": false,
|
| 1354 |
-
"baseline": false,
|
| 1355 |
-
"bench": true,
|
| 1356 |
-
"bench_warmup": 10,
|
| 1357 |
-
"bench_iters": 50,
|
| 1358 |
-
"bench_train_steps": 20,
|
| 1359 |
-
"event_capacity": 0,
|
| 1360 |
-
"graph_warmup": 3,
|
| 1361 |
-
"bench_batches": "1,8,32,128",
|
| 1362 |
-
"sampling_rate": 250.0
|
| 1363 |
-
}
|
| 1364 |
-
},
|
| 1365 |
-
"zip": {
|
| 1366 |
-
"name": "default.zip",
|
| 1367 |
-
"files": 81,
|
| 1368 |
-
"bytes": 12253126,
|
| 1369 |
-
"MB": 12.3,
|
| 1370 |
-
"sha256": "dd13cd46e7240e145c6dd659b20ff6be55136f94e8e39058663d3ccbf1811fac"
|
| 1371 |
-
}
|
| 1372 |
-
},
|
| 1373 |
-
{
|
| 1374 |
-
"key": "opt05_bitpack_popcount/control_baseline",
|
| 1375 |
-
"tag": "control_baseline",
|
| 1376 |
-
"script": "opt05_bitpack_popcount.py",
|
| 1377 |
-
"hf_folder": "applied/opt05_bitpack_popcount",
|
| 1378 |
-
"phase": 1,
|
| 1379 |
-
"status": "ok",
|
| 1380 |
-
"duration_s": 584.8,
|
| 1381 |
-
"optimization_summary": {
|
| 1382 |
-
"optimization": "bitpack_popcount",
|
| 1383 |
-
"research_section": "3. Spike-Sparsity & MAC->AC Restructuring",
|
| 1384 |
-
"reference": "SATA, arXiv:2204.05422; BMXNet/BiFSMNv2 popcount GEMM",
|
| 1385 |
-
"script": "opt05_bitpack_popcount.py",
|
| 1386 |
-
"baseline_mode": true,
|
| 1387 |
-
"method": "harmonic_matched",
|
| 1388 |
-
"accuracy": {
|
| 1389 |
-
"test_acc": 0.9392857142857143,
|
| 1390 |
-
"test_target_acc": 0.9392857142857143,
|
| 1391 |
-
"best_val_acc": 0.945
|
| 1392 |
-
},
|
| 1393 |
-
"efficiency": {
|
| 1394 |
-
"spikes_per_inference": null,
|
| 1395 |
-
"syn_ops_per_inference": 3259960.8547077924,
|
| 1396 |
-
"dense_macs_per_inference": 122675200.0,
|
| 1397 |
-
"event_fraction_of_dense": 0.02657391921682453,
|
| 1398 |
-
"syn_ops_per_inference_dense_fanout": 64836578.64123377,
|
| 1399 |
-
"weight_sparsity": 0.7324707846410685,
|
| 1400 |
-
"effective_ticks": 11.83,
|
| 1401 |
-
"num_ticks": 100,
|
| 1402 |
-
"membrane_bytes_per_inference": 451200,
|
| 1403 |
-
"weight_bytes": 4907008,
|
| 1404 |
-
"input_raster_bytes": 403200000,
|
| 1405 |
-
"train_ms_per_step": 94.69575869998152,
|
| 1406 |
-
"infer_ms_per_sample": 0.6265434059375252,
|
| 1407 |
-
"peak_vram_mb": 2827.963904
|
| 1408 |
-
},
|
| 1409 |
-
"optimization_specific": {
|
| 1410 |
-
"bitpack": false,
|
| 1411 |
-
"pack_hidden": false,
|
| 1412 |
-
"popcount_readout": false,
|
| 1413 |
-
"n_channels": 2880,
|
| 1414 |
-
"packed_words_per_tick": 90,
|
| 1415 |
-
"input_raster_bytes_uint8": 403200000,
|
| 1416 |
-
"input_raster_bytes_packed": null,
|
| 1417 |
-
"memory_reduction_x": 1.0,
|
| 1418 |
-
"mults_eliminated_per_inference": null,
|
| 1419 |
-
"pred_agreement_packed_vs_float": null,
|
| 1420 |
-
"popcount_counts_exact": null,
|
| 1421 |
-
"crossover_density": 0.01,
|
| 1422 |
-
"packed_ever_wins": true,
|
| 1423 |
-
"packed_vs_scatter_ms": [
|
| 1424 |
-
{
|
| 1425 |
-
"density": 0.01,
|
| 1426 |
-
"measured_density": 0.00997178815305233,
|
| 1427 |
-
"scatter_ms": 0.1802825927734375,
|
| 1428 |
-
"packed_ms": 0.046405792236328125,
|
| 1429 |
-
"pack_ms": 0.1291036605834961,
|
| 1430 |
-
"speedup_x": 3.8849157418824496,
|
| 1431 |
-
"packed_wins": true,
|
| 1432 |
-
"matches_scatter": true
|
| 1433 |
-
},
|
| 1434 |
-
{
|
| 1435 |
-
"density": 0.05,
|
| 1436 |
-
"measured_density": 0.0490993931889534,
|
| 1437 |
-
"scatter_ms": 0.2356719970703125,
|
| 1438 |
-
"packed_ms": 0.06339550018310547,
|
| 1439 |
-
"pack_ms": 0.13286590576171875,
|
| 1440 |
-
"speedup_x": 3.7174877773599095,
|
| 1441 |
-
"packed_wins": true,
|
| 1442 |
-
"matches_scatter": true
|
| 1443 |
-
},
|
| 1444 |
-
{
|
| 1445 |
-
"density": 0.1,
|
| 1446 |
-
"measured_density": 0.10040690004825592,
|
| 1447 |
-
"scatter_ms": 0.42845726013183594,
|
| 1448 |
-
"packed_ms": 0.08290290832519531,
|
| 1449 |
-
"pack_ms": 0.12605667114257812,
|
| 1450 |
-
"speedup_x": 5.168181295295065,
|
| 1451 |
-
"packed_wins": true,
|
| 1452 |
-
"matches_scatter": true
|
| 1453 |
-
},
|
| 1454 |
-
{
|
| 1455 |
-
"density": 0.25,
|
| 1456 |
-
"measured_density": 0.24960395693778992,
|
| 1457 |
-
"scatter_ms": 1.0294532775878906,
|
| 1458 |
-
"packed_ms": 0.14525413513183594,
|
| 1459 |
-
"pack_ms": 0.12697696685791016,
|
| 1460 |
-
"speedup_x": 7.087256253693126,
|
| 1461 |
-
"packed_wins": true,
|
| 1462 |
-
"matches_scatter": true
|
| 1463 |
-
},
|
| 1464 |
-
{
|
| 1465 |
-
"density": 0.5,
|
| 1466 |
-
"measured_density": 0.49802517890930176,
|
| 1467 |
-
"scatter_ms": 1.3754749298095703,
|
| 1468 |
-
"packed_ms": 0.2714681625366211,
|
| 1469 |
-
"pack_ms": 0.1302051544189453,
|
| 1470 |
-
"speedup_x": 5.0668001615991285,
|
| 1471 |
-
"packed_wins": true,
|
| 1472 |
-
"matches_scatter": true
|
| 1473 |
-
}
|
| 1474 |
-
],
|
| 1475 |
-
"popcount_vs_loop_ms": {
|
| 1476 |
-
"loop_ms": 0.013265609741210938,
|
| 1477 |
-
"popcount_ms": 0.03826141357421875,
|
| 1478 |
-
"speedup_x": 0.3467098703888335
|
| 1479 |
-
}
|
| 1480 |
-
},
|
| 1481 |
-
"config": {
|
| 1482 |
-
"method": "harmonic_matched",
|
| 1483 |
-
"data_root": "/kaggle/working/data",
|
| 1484 |
-
"subjects": "",
|
| 1485 |
-
"blocks": "",
|
| 1486 |
-
"limit": 0,
|
| 1487 |
-
"drop_rest": true,
|
| 1488 |
-
"resplit": "block",
|
| 1489 |
-
"test_blocks": "6",
|
| 1490 |
-
"class_weight": false,
|
| 1491 |
-
"epochs": 60,
|
| 1492 |
-
"batch_size": 64,
|
| 1493 |
-
"lr": 0.002,
|
| 1494 |
-
"weight_decay": 0.0005,
|
| 1495 |
-
"grad_clip": 5.0,
|
| 1496 |
-
"num_bins": 100,
|
| 1497 |
-
"window_sec": 5.0,
|
| 1498 |
-
"hidden": "512,256",
|
| 1499 |
-
"freq_groups": 8,
|
| 1500 |
-
"dropout": 0.3,
|
| 1501 |
-
"spike_drop": 0.1,
|
| 1502 |
-
"time_jitter": 2,
|
| 1503 |
-
"label_smoothing": 0.05,
|
| 1504 |
-
"no_batchnorm": false,
|
| 1505 |
-
"binary_input": false,
|
| 1506 |
-
"beta": 1.0,
|
| 1507 |
-
"thresh": 1.0,
|
| 1508 |
-
"window": 0.5,
|
| 1509 |
-
"gain": 1.0,
|
| 1510 |
-
"alpha": 0.9,
|
| 1511 |
-
"readout": "spikecount",
|
| 1512 |
-
"fake_quant": 0,
|
| 1513 |
-
"amp": false,
|
| 1514 |
-
"spike_reg": 0.0,
|
| 1515 |
-
"event_eval": true,
|
| 1516 |
-
"decision_margin": 2.0,
|
| 1517 |
-
"export": false,
|
| 1518 |
-
"seed": 1234,
|
| 1519 |
-
"hub_dir": "/kaggle/working/hub/opt05_bitpack_popcount/control_baseline",
|
| 1520 |
-
"repo_id": "UWU-R-13/SSVEP-SNN",
|
| 1521 |
-
"push_hf": false,
|
| 1522 |
-
"keep_epoch_weights": 1,
|
| 1523 |
-
"no_resume": true,
|
| 1524 |
-
"selftest": false,
|
| 1525 |
-
"baseline": true,
|
| 1526 |
-
"bench": true,
|
| 1527 |
-
"bench_warmup": 10,
|
| 1528 |
-
"bench_iters": 50,
|
| 1529 |
-
"bench_train_steps": 20,
|
| 1530 |
-
"bitpack": true,
|
| 1531 |
-
"pack_hidden": false,
|
| 1532 |
-
"popcount_readout": true,
|
| 1533 |
-
"sparsity_sweep": "0.01,0.05,0.1,0.25,0.5",
|
| 1534 |
-
"sampling_rate": 250.0
|
| 1535 |
-
}
|
| 1536 |
-
},
|
| 1537 |
-
"zip": {
|
| 1538 |
-
"name": "control_baseline.zip",
|
| 1539 |
"files": 81,
|
| 1540 |
-
"bytes":
|
| 1541 |
-
"MB": 12.
|
| 1542 |
-
"sha256": "
|
| 1543 |
-
}
|
| 1544 |
-
},
|
| 1545 |
-
{
|
| 1546 |
-
"key": "opt05_bitpack_popcount/default",
|
| 1547 |
-
"tag": "default",
|
| 1548 |
-
"script": "opt05_bitpack_popcount.py",
|
| 1549 |
-
"hf_folder": "applied/opt05_bitpack_popcount",
|
| 1550 |
-
"phase": 1,
|
| 1551 |
-
"status": "failed",
|
| 1552 |
-
"duration_s": 280.1,
|
| 1553 |
-
"optimization_summary": null,
|
| 1554 |
-
"zip": {
|
| 1555 |
-
"name": "FAILED_default.zip",
|
| 1556 |
-
"files": 76,
|
| 1557 |
-
"bytes": 10446958,
|
| 1558 |
-
"MB": 10.4,
|
| 1559 |
-
"sha256": "a05cd25014d037d0284290f3d579a1d933984716eb304384946909de3e297d93"
|
| 1560 |
}
|
| 1561 |
}
|
| 1562 |
]
|
|
|
|
| 1 |
[
|
| 2 |
{
|
| 3 |
+
"key": "opt01_ttfs_dta/dta_rate_0.02",
|
| 4 |
+
"tag": "dta_rate_0.02",
|
| 5 |
+
"script": "opt01_ttfs_dta.py",
|
| 6 |
+
"hf_folder": "applied/opt01_ttfs_dta",
|
| 7 |
+
"phase": 3,
|
| 8 |
"status": "ok",
|
| 9 |
+
"duration_s": 592.4,
|
| 10 |
+
"optimization_summary": {
|
| 11 |
+
"optimization": "ttfs_dta",
|
| 12 |
+
"research_section": "2. Temporal-Dimension Reduction (TTFS coding / DTA-TTFS)",
|
| 13 |
+
"reference": "Software-Level Optimizations for Spiking Neural Network Inference on ARM Architectures: A Deep-Dive into the Jetson Nano Ecosystem (research.md SS2)",
|
| 14 |
+
"script": "opt01_ttfs_dta.py",
|
| 15 |
+
"baseline_mode": false,
|
| 16 |
+
"method": "harmonic_matched",
|
| 17 |
+
"accuracy": {
|
| 18 |
+
"test_acc": 0.22214285714285714,
|
| 19 |
+
"test_target_acc": 0.22214285714285714,
|
| 20 |
+
"best_val_acc": 0.23857142857142857
|
| 21 |
+
},
|
| 22 |
+
"efficiency": {
|
| 23 |
+
"spikes_per_inference": null,
|
| 24 |
+
"syn_ops_per_inference": 1370895.7012987013,
|
| 25 |
+
"dense_macs_per_inference": 122675200.0,
|
| 26 |
+
"event_fraction_of_dense": 0.01117500278213283,
|
| 27 |
+
"syn_ops_per_inference_dense_fanout": 46072438.1176948,
|
| 28 |
+
"weight_sparsity": 0.7324707846410685,
|
| 29 |
+
"effective_ticks": 100.0,
|
| 30 |
+
"num_ticks": 100,
|
| 31 |
+
"membrane_bytes_per_inference": 451200,
|
| 32 |
+
"weight_bytes": 4907008,
|
| 33 |
+
"input_raster_bytes": null,
|
| 34 |
+
"train_ms_per_step": 95.69850345000077,
|
| 35 |
+
"infer_ms_per_sample": 0.6107303025000022,
|
| 36 |
+
"peak_vram_mb": 2908.478464
|
| 37 |
+
},
|
| 38 |
+
"optimization_specific": {
|
| 39 |
+
"ttfs": true,
|
| 40 |
+
"dta": true,
|
| 41 |
+
"readout": "ttfs",
|
| 42 |
+
"ttfs_halt_k": 1,
|
| 43 |
+
"dta_target_rate": 0.02,
|
| 44 |
+
"dta_momentum": 0.1,
|
| 45 |
+
"spikes_per_neuron_per_inference": 0.666733789260385,
|
| 46 |
+
"ttfs_budget_respected": true,
|
| 47 |
+
"frac_neurons_that_ever_fire": 0.666733789260385,
|
| 48 |
+
"mean_first_spike_tick": 22.77649856682363,
|
| 49 |
+
"per_layer_ttfs": [
|
| 50 |
+
{
|
| 51 |
+
"layer": 0,
|
| 52 |
+
"neurons": 320,
|
| 53 |
+
"spikes_per_neuron_per_inference": 0.8998928571428572,
|
| 54 |
+
"frac_neurons_that_ever_fire": 0.8998928571428572,
|
| 55 |
+
"mean_first_spike_tick": 8.32483529785292
|
| 56 |
+
},
|
| 57 |
+
{
|
| 58 |
+
"layer": 1,
|
| 59 |
+
"neurons": 512,
|
| 60 |
+
"spikes_per_neuron_per_inference": 0.5788044084821429,
|
| 61 |
+
"frac_neurons_that_ever_fire": 0.5788044084821429,
|
| 62 |
+
"mean_first_spike_tick": 32.204212231282256
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"layer": 2,
|
| 66 |
+
"neurons": 256,
|
| 67 |
+
"spikes_per_neuron_per_inference": 0.6099832589285714,
|
| 68 |
+
"frac_neurons_that_ever_fire": 0.6099832589285714,
|
| 69 |
+
"mean_first_spike_tick": 27.42329085436698
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"layer": 3,
|
| 73 |
+
"neurons": 40,
|
| 74 |
+
"spikes_per_neuron_per_inference": 0.29016071428571427,
|
| 75 |
+
"frac_neurons_that_ever_fire": 0.29016071428571427,
|
| 76 |
+
"mean_first_spike_tick": 78.09735983752846
|
| 77 |
+
}
|
| 78 |
+
],
|
| 79 |
+
"mean_halt_tick": 65.40357142857142,
|
| 80 |
+
"effective_ticks": 65.40357142857142,
|
| 81 |
+
"ticks_saved_frac": 0.3459642857142857,
|
| 82 |
+
"num_ticks": 100,
|
| 83 |
+
"dta_thr_min": 10.0,
|
| 84 |
+
"dta_thr_max": 10.0,
|
| 85 |
+
"dta_thr_mean": 10.0,
|
| 86 |
+
"base_thresh": 10.0
|
| 87 |
+
},
|
| 88 |
+
"config": {
|
| 89 |
+
"method": "harmonic_matched",
|
| 90 |
+
"data_root": "/kaggle/working/data",
|
| 91 |
+
"subjects": "",
|
| 92 |
+
"blocks": "",
|
| 93 |
+
"limit": 0,
|
| 94 |
+
"drop_rest": true,
|
| 95 |
+
"resplit": "block",
|
| 96 |
+
"test_blocks": "6",
|
| 97 |
+
"class_weight": false,
|
| 98 |
+
"epochs": 60,
|
| 99 |
+
"batch_size": 64,
|
| 100 |
+
"lr": 0.002,
|
| 101 |
+
"weight_decay": 0.0005,
|
| 102 |
+
"grad_clip": 5.0,
|
| 103 |
+
"num_bins": 100,
|
| 104 |
+
"window_sec": 5.0,
|
| 105 |
+
"hidden": "512,256",
|
| 106 |
+
"freq_groups": 8,
|
| 107 |
+
"dropout": 0.3,
|
| 108 |
+
"spike_drop": 0.1,
|
| 109 |
+
"time_jitter": 2,
|
| 110 |
+
"label_smoothing": 0.05,
|
| 111 |
+
"no_batchnorm": false,
|
| 112 |
+
"binary_input": false,
|
| 113 |
+
"beta": 1.0,
|
| 114 |
+
"thresh": 10.0,
|
| 115 |
+
"window": 0.5,
|
| 116 |
+
"gain": 1.0,
|
| 117 |
+
"alpha": 0.9,
|
| 118 |
+
"readout": "ttfs",
|
| 119 |
+
"fake_quant": 0,
|
| 120 |
+
"amp": false,
|
| 121 |
+
"spike_reg": 0.0,
|
| 122 |
+
"event_eval": true,
|
| 123 |
+
"decision_margin": 2.0,
|
| 124 |
+
"export": false,
|
| 125 |
+
"seed": 1234,
|
| 126 |
+
"hub_dir": "/kaggle/working/hub/opt01_ttfs_dta/dta_rate_0.02",
|
| 127 |
+
"repo_id": "UWU-R-13/SSVEP-SNN",
|
| 128 |
+
"push_hf": false,
|
| 129 |
+
"keep_epoch_weights": 1,
|
| 130 |
+
"no_resume": true,
|
| 131 |
+
"selftest": false,
|
| 132 |
+
"baseline": false,
|
| 133 |
+
"bench": true,
|
| 134 |
+
"bench_warmup": 10,
|
| 135 |
+
"bench_iters": 50,
|
| 136 |
+
"bench_train_steps": 20,
|
| 137 |
+
"ttfs": true,
|
| 138 |
+
"ttfs_halt_k": 1,
|
| 139 |
+
"dta": true,
|
| 140 |
+
"dta_target_rate": 0.02,
|
| 141 |
+
"dta_readout_rate": 0.95,
|
| 142 |
+
"ttfs_logit_scale": 10.0,
|
| 143 |
+
"dta_momentum": 0.1,
|
| 144 |
+
"dta_min": 0.2,
|
| 145 |
+
"dta_max": 5.0,
|
| 146 |
+
"dta_windup_patience": 200,
|
| 147 |
+
"sampling_rate": 250.0
|
| 148 |
+
}
|
| 149 |
+
},
|
| 150 |
"zip": {
|
| 151 |
+
"name": "dta_rate_0.02.zip",
|
| 152 |
+
"files": 80,
|
| 153 |
+
"bytes": 12510253,
|
| 154 |
+
"MB": 12.5,
|
| 155 |
+
"sha256": "1243e55e5fd4e4197a0db50663cc4eaf49e0a10a9ad59a34c29305a28a06856f"
|
| 156 |
}
|
| 157 |
},
|
| 158 |
{
|
| 159 |
+
"key": "opt01_ttfs_dta/dta_rate_0.10",
|
| 160 |
+
"tag": "dta_rate_0.10",
|
| 161 |
"script": "opt01_ttfs_dta.py",
|
| 162 |
"hf_folder": "applied/opt01_ttfs_dta",
|
| 163 |
+
"phase": 3,
|
| 164 |
"status": "ok",
|
| 165 |
+
"duration_s": 314.3,
|
| 166 |
"optimization_summary": {
|
| 167 |
"optimization": "ttfs_dta",
|
| 168 |
"research_section": "2. Temporal-Dimension Reduction (TTFS coding / DTA-TTFS)",
|
| 169 |
"reference": "Software-Level Optimizations for Spiking Neural Network Inference on ARM Architectures: A Deep-Dive into the Jetson Nano Ecosystem (research.md SS2)",
|
| 170 |
"script": "opt01_ttfs_dta.py",
|
| 171 |
+
"baseline_mode": false,
|
| 172 |
"method": "harmonic_matched",
|
| 173 |
"accuracy": {
|
| 174 |
+
"test_acc": 0.1392857142857143,
|
| 175 |
+
"test_target_acc": 0.1392857142857143,
|
| 176 |
+
"best_val_acc": 0.17
|
| 177 |
},
|
| 178 |
"efficiency": {
|
| 179 |
"spikes_per_inference": null,
|
| 180 |
+
"syn_ops_per_inference": 1411658.4545454546,
|
| 181 |
"dense_macs_per_inference": 122675200.0,
|
| 182 |
+
"event_fraction_of_dense": 0.011507284720509561,
|
| 183 |
+
"syn_ops_per_inference_dense_fanout": 47245923.233766235,
|
| 184 |
"weight_sparsity": 0.7324707846410685,
|
| 185 |
+
"effective_ticks": 100.0,
|
| 186 |
"num_ticks": 100,
|
| 187 |
"membrane_bytes_per_inference": 451200,
|
| 188 |
"weight_bytes": 4907008,
|
| 189 |
"input_raster_bytes": null,
|
| 190 |
+
"train_ms_per_step": 95.29285290000189,
|
| 191 |
+
"infer_ms_per_sample": 0.6113808478124838,
|
| 192 |
+
"peak_vram_mb": 2909.302784
|
| 193 |
},
|
| 194 |
"optimization_specific": {
|
| 195 |
+
"ttfs": true,
|
| 196 |
+
"dta": true,
|
| 197 |
+
"readout": "ttfs",
|
| 198 |
"ttfs_halt_k": 1,
|
| 199 |
+
"dta_target_rate": 0.1,
|
| 200 |
+
"dta_momentum": 0.1,
|
| 201 |
+
"spikes_per_neuron_per_inference": 0.6239190729483283,
|
| 202 |
+
"ttfs_budget_respected": true,
|
| 203 |
+
"frac_neurons_that_ever_fire": 0.6239190729483283,
|
| 204 |
+
"mean_first_spike_tick": 19.628332891840294,
|
| 205 |
"per_layer_ttfs": [
|
| 206 |
{
|
| 207 |
"layer": 0,
|
| 208 |
"neurons": 320,
|
| 209 |
+
"spikes_per_neuron_per_inference": 0.8614040178571428,
|
| 210 |
+
"frac_neurons_that_ever_fire": 0.8614040178571428,
|
| 211 |
+
"mean_first_spike_tick": 9.993713543866559
|
| 212 |
},
|
| 213 |
{
|
| 214 |
"layer": 1,
|
| 215 |
"neurons": 512,
|
| 216 |
+
"spikes_per_neuron_per_inference": 0.7464453125,
|
| 217 |
+
"frac_neurons_that_ever_fire": 0.7464453125,
|
| 218 |
+
"mean_first_spike_tick": 22.917884616822292
|
| 219 |
},
|
| 220 |
{
|
| 221 |
"layer": 2,
|
| 222 |
"neurons": 256,
|
| 223 |
+
"spikes_per_neuron_per_inference": 0.10224888392857143,
|
| 224 |
+
"frac_neurons_that_ever_fire": 0.10224888392857143,
|
| 225 |
+
"mean_first_spike_tick": 31.868034710473175
|
| 226 |
},
|
| 227 |
{
|
| 228 |
"layer": 3,
|
| 229 |
"neurons": 40,
|
| 230 |
+
"spikes_per_neuron_per_inference": 0.49439285714285713,
|
| 231 |
+
"frac_neurons_that_ever_fire": 0.49439285714285713,
|
| 232 |
+
"mean_first_spike_tick": 74.14935346384455
|
| 233 |
}
|
| 234 |
],
|
| 235 |
+
"mean_halt_tick": 68.85428571428571,
|
| 236 |
+
"effective_ticks": 68.85428571428571,
|
| 237 |
+
"ticks_saved_frac": 0.3114571428571429,
|
| 238 |
"num_ticks": 100,
|
| 239 |
+
"dta_thr_min": 10.0,
|
| 240 |
+
"dta_thr_max": 31.87553596496582,
|
| 241 |
+
"dta_thr_mean": 15.468883514404297,
|
| 242 |
+
"base_thresh": 10.0
|
| 243 |
},
|
| 244 |
"config": {
|
| 245 |
"method": "harmonic_matched",
|
|
|
|
| 267 |
"no_batchnorm": false,
|
| 268 |
"binary_input": false,
|
| 269 |
"beta": 1.0,
|
| 270 |
+
"thresh": 10.0,
|
| 271 |
"window": 0.5,
|
| 272 |
"gain": 1.0,
|
| 273 |
"alpha": 0.9,
|
|
|
|
| 279 |
"decision_margin": 2.0,
|
| 280 |
"export": false,
|
| 281 |
"seed": 1234,
|
| 282 |
+
"hub_dir": "/kaggle/working/hub/opt01_ttfs_dta/dta_rate_0.10",
|
| 283 |
"repo_id": "UWU-R-13/SSVEP-SNN",
|
| 284 |
"push_hf": false,
|
| 285 |
"keep_epoch_weights": 1,
|
| 286 |
"no_resume": true,
|
| 287 |
"selftest": false,
|
| 288 |
+
"baseline": false,
|
| 289 |
"bench": true,
|
| 290 |
"bench_warmup": 10,
|
| 291 |
"bench_iters": 50,
|
|
|
|
| 293 |
"ttfs": true,
|
| 294 |
"ttfs_halt_k": 1,
|
| 295 |
"dta": true,
|
| 296 |
+
"dta_target_rate": 0.1,
|
| 297 |
"dta_readout_rate": 0.95,
|
| 298 |
"ttfs_logit_scale": 10.0,
|
| 299 |
"dta_momentum": 0.1,
|
|
|
|
| 304 |
}
|
| 305 |
},
|
| 306 |
"zip": {
|
| 307 |
+
"name": "dta_rate_0.10.zip",
|
| 308 |
+
"files": 77,
|
| 309 |
+
"bytes": 8117390,
|
| 310 |
+
"MB": 8.1,
|
| 311 |
+
"sha256": "149684ff3bdd640115b26d39a54bdaa9ae99619a8672a7ea6fcd59fc99345a27"
|
| 312 |
}
|
| 313 |
},
|
| 314 |
{
|
| 315 |
+
"key": "opt01_ttfs_dta/dta_rate_0.20",
|
| 316 |
+
"tag": "dta_rate_0.20",
|
| 317 |
"script": "opt01_ttfs_dta.py",
|
| 318 |
"hf_folder": "applied/opt01_ttfs_dta",
|
| 319 |
+
"phase": 3,
|
| 320 |
"status": "ok",
|
| 321 |
+
"duration_s": 315.0,
|
| 322 |
"optimization_summary": {
|
| 323 |
"optimization": "ttfs_dta",
|
| 324 |
"research_section": "2. Temporal-Dimension Reduction (TTFS coding / DTA-TTFS)",
|
|
|
|
| 327 |
"baseline_mode": false,
|
| 328 |
"method": "harmonic_matched",
|
| 329 |
"accuracy": {
|
| 330 |
+
"test_acc": 0.30142857142857143,
|
| 331 |
+
"test_target_acc": 0.30142857142857143,
|
| 332 |
+
"best_val_acc": 0.3442857142857143
|
| 333 |
},
|
| 334 |
"efficiency": {
|
| 335 |
"spikes_per_inference": null,
|
| 336 |
+
"syn_ops_per_inference": 1268561.1761363635,
|
| 337 |
"dense_macs_per_inference": 122675200.0,
|
| 338 |
+
"event_fraction_of_dense": 0.010340811966366173,
|
| 339 |
+
"syn_ops_per_inference_dense_fanout": 40907301.49837662,
|
| 340 |
"weight_sparsity": 0.7324707846410685,
|
| 341 |
"effective_ticks": 100.0,
|
| 342 |
"num_ticks": 100,
|
| 343 |
"membrane_bytes_per_inference": 451200,
|
| 344 |
"weight_bytes": 4907008,
|
| 345 |
"input_raster_bytes": null,
|
| 346 |
+
"train_ms_per_step": 95.75917180000033,
|
| 347 |
+
"infer_ms_per_sample": 0.6131969368749424,
|
| 348 |
+
"peak_vram_mb": 2909.376512
|
| 349 |
},
|
| 350 |
"optimization_specific": {
|
| 351 |
"ttfs": true,
|
| 352 |
"dta": true,
|
| 353 |
"readout": "ttfs",
|
| 354 |
"ttfs_halt_k": 1,
|
| 355 |
+
"dta_target_rate": 0.2,
|
| 356 |
"dta_momentum": 0.1,
|
| 357 |
+
"spikes_per_neuron_per_inference": 0.6888367527862209,
|
| 358 |
"ttfs_budget_respected": true,
|
| 359 |
+
"frac_neurons_that_ever_fire": 0.6888367527862209,
|
| 360 |
+
"mean_first_spike_tick": 17.83636679533485,
|
| 361 |
"per_layer_ttfs": [
|
| 362 |
{
|
| 363 |
"layer": 0,
|
| 364 |
"neurons": 320,
|
| 365 |
+
"spikes_per_neuron_per_inference": 0.9109776785714285,
|
| 366 |
+
"frac_neurons_that_ever_fire": 0.9109776785714285,
|
| 367 |
+
"mean_first_spike_tick": 7.660495248923105
|
| 368 |
},
|
| 369 |
{
|
| 370 |
"layer": 1,
|
| 371 |
"neurons": 512,
|
| 372 |
+
"spikes_per_neuron_per_inference": 0.8185337611607143,
|
| 373 |
+
"frac_neurons_that_ever_fire": 0.8185337611607143,
|
| 374 |
+
"mean_first_spike_tick": 22.096457454514464
|
| 375 |
},
|
| 376 |
{
|
| 377 |
"layer": 2,
|
| 378 |
"neurons": 256,
|
| 379 |
+
"spikes_per_neuron_per_inference": 0.19032366071428572,
|
| 380 |
+
"frac_neurons_that_ever_fire": 0.19032366071428572,
|
| 381 |
+
"mean_first_spike_tick": 19.373438691139388
|
| 382 |
},
|
| 383 |
{
|
| 384 |
"layer": 3,
|
| 385 |
"neurons": 40,
|
| 386 |
+
"spikes_per_neuron_per_inference": 0.44207142857142856,
|
| 387 |
+
"frac_neurons_that_ever_fire": 0.44207142857142856,
|
| 388 |
+
"mean_first_spike_tick": 80.39121829051543
|
| 389 |
}
|
| 390 |
],
|
| 391 |
+
"mean_halt_tick": 54.479285714285716,
|
| 392 |
+
"effective_ticks": 54.479285714285716,
|
| 393 |
+
"ticks_saved_frac": 0.4552071428571428,
|
| 394 |
"num_ticks": 100,
|
| 395 |
"dta_thr_min": 10.0,
|
| 396 |
+
"dta_thr_max": 36.44102096557617,
|
| 397 |
+
"dta_thr_mean": 16.610254287719727,
|
| 398 |
"base_thresh": 10.0
|
| 399 |
},
|
| 400 |
"config": {
|
|
|
|
| 435 |
"decision_margin": 2.0,
|
| 436 |
"export": false,
|
| 437 |
"seed": 1234,
|
| 438 |
+
"hub_dir": "/kaggle/working/hub/opt01_ttfs_dta/dta_rate_0.20",
|
| 439 |
"repo_id": "UWU-R-13/SSVEP-SNN",
|
| 440 |
"push_hf": false,
|
| 441 |
"keep_epoch_weights": 1,
|
|
|
|
| 449 |
"ttfs": true,
|
| 450 |
"ttfs_halt_k": 1,
|
| 451 |
"dta": true,
|
| 452 |
+
"dta_target_rate": 0.2,
|
| 453 |
"dta_readout_rate": 0.95,
|
| 454 |
"ttfs_logit_scale": 10.0,
|
| 455 |
"dta_momentum": 0.1,
|
|
|
|
| 460 |
}
|
| 461 |
},
|
| 462 |
"zip": {
|
| 463 |
+
"name": "dta_rate_0.20.zip",
|
| 464 |
"files": 80,
|
| 465 |
+
"bytes": 12365506,
|
| 466 |
+
"MB": 12.4,
|
| 467 |
+
"sha256": "0ff95b27869b51aaa9e93834f86b2558421ee7616d9cb9562165f0e64df9f734"
|
| 468 |
}
|
| 469 |
},
|
| 470 |
{
|
| 471 |
+
"key": "opt01_ttfs_dta/ttfs_halt_k2",
|
| 472 |
+
"tag": "ttfs_halt_k2",
|
| 473 |
+
"script": "opt01_ttfs_dta.py",
|
| 474 |
+
"hf_folder": "applied/opt01_ttfs_dta",
|
| 475 |
+
"phase": 3,
|
| 476 |
"status": "ok",
|
| 477 |
+
"duration_s": 313.4,
|
| 478 |
"optimization_summary": {
|
| 479 |
+
"optimization": "ttfs_dta",
|
| 480 |
+
"research_section": "2. Temporal-Dimension Reduction (TTFS coding / DTA-TTFS)",
|
| 481 |
+
"reference": "Software-Level Optimizations for Spiking Neural Network Inference on ARM Architectures: A Deep-Dive into the Jetson Nano Ecosystem (research.md SS2)",
|
| 482 |
+
"script": "opt01_ttfs_dta.py",
|
| 483 |
+
"baseline_mode": false,
|
| 484 |
"method": "harmonic_matched",
|
| 485 |
"accuracy": {
|
| 486 |
+
"test_acc": 0.19142857142857142,
|
| 487 |
+
"test_target_acc": 0.19142857142857142,
|
| 488 |
+
"best_val_acc": 0.19071428571428573
|
| 489 |
},
|
| 490 |
"efficiency": {
|
| 491 |
"spikes_per_inference": null,
|
| 492 |
+
"syn_ops_per_inference": 1146300.0625,
|
| 493 |
"dense_macs_per_inference": 122675200.0,
|
| 494 |
+
"event_fraction_of_dense": 0.009344187435602306,
|
| 495 |
+
"syn_ops_per_inference_dense_fanout": 38370359.65827922,
|
| 496 |
"weight_sparsity": 0.7324707846410685,
|
| 497 |
+
"effective_ticks": 100.0,
|
| 498 |
"num_ticks": 100,
|
| 499 |
"membrane_bytes_per_inference": 451200,
|
| 500 |
"weight_bytes": 4907008,
|
| 501 |
"input_raster_bytes": null,
|
| 502 |
+
"train_ms_per_step": 95.0974763999966,
|
| 503 |
+
"infer_ms_per_sample": 0.608219999062527,
|
| 504 |
+
"peak_vram_mb": 2909.190656
|
| 505 |
},
|
| 506 |
"optimization_specific": {
|
| 507 |
+
"ttfs": true,
|
| 508 |
+
"dta": true,
|
| 509 |
+
"readout": "ttfs",
|
| 510 |
+
"ttfs_halt_k": 2,
|
| 511 |
+
"dta_target_rate": 0.05,
|
| 512 |
+
"dta_momentum": 0.1,
|
| 513 |
+
"spikes_per_neuron_per_inference": 0.5998423252279635,
|
| 514 |
+
"ttfs_budget_respected": true,
|
| 515 |
+
"frac_neurons_that_ever_fire": 0.5998423252279635,
|
| 516 |
+
"mean_first_spike_tick": 22.474675145760823,
|
| 517 |
+
"per_layer_ttfs": [
|
| 518 |
+
{
|
| 519 |
+
"layer": 0,
|
| 520 |
+
"neurons": 320,
|
| 521 |
+
"spikes_per_neuron_per_inference": 0.8544263392857143,
|
| 522 |
+
"frac_neurons_that_ever_fire": 0.8544263392857143,
|
| 523 |
+
"mean_first_spike_tick": 8.993144941128525
|
| 524 |
+
},
|
| 525 |
+
{
|
| 526 |
+
"layer": 1,
|
| 527 |
+
"neurons": 512,
|
| 528 |
+
"spikes_per_neuron_per_inference": 0.4505161830357143,
|
| 529 |
+
"frac_neurons_that_ever_fire": 0.4505161830357143,
|
| 530 |
+
"mean_first_spike_tick": 27.44062180658347
|
| 531 |
+
},
|
| 532 |
+
{
|
| 533 |
+
"layer": 2,
|
| 534 |
+
"neurons": 256,
|
| 535 |
+
"spikes_per_neuron_per_inference": 0.52904296875,
|
| 536 |
+
"frac_neurons_that_ever_fire": 0.52904296875,
|
| 537 |
+
"mean_first_spike_tick": 29.398224767811655
|
| 538 |
+
},
|
| 539 |
+
{
|
| 540 |
+
"layer": 3,
|
| 541 |
+
"neurons": 40,
|
| 542 |
+
"spikes_per_neuron_per_inference": 0.9276607142857143,
|
| 543 |
+
"frac_neurons_that_ever_fire": 0.9276607142857143,
|
| 544 |
+
"mean_first_spike_tick": 65.67242872817572
|
| 545 |
+
}
|
| 546 |
+
],
|
| 547 |
+
"mean_halt_tick": 47.255714285714284,
|
| 548 |
+
"effective_ticks": 47.255714285714284,
|
| 549 |
+
"ticks_saved_frac": 0.5274428571428571,
|
| 550 |
+
"num_ticks": 100,
|
| 551 |
+
"dta_thr_min": 10.0,
|
| 552 |
+
"dta_thr_max": 10.0,
|
| 553 |
+
"dta_thr_mean": 10.0,
|
| 554 |
+
"base_thresh": 10.0
|
| 555 |
},
|
| 556 |
"config": {
|
| 557 |
"method": "harmonic_matched",
|
|
|
|
| 579 |
"no_batchnorm": false,
|
| 580 |
"binary_input": false,
|
| 581 |
"beta": 1.0,
|
| 582 |
+
"thresh": 10.0,
|
| 583 |
"window": 0.5,
|
| 584 |
"gain": 1.0,
|
| 585 |
"alpha": 0.9,
|
| 586 |
+
"readout": "ttfs",
|
| 587 |
"fake_quant": 0,
|
| 588 |
"amp": false,
|
| 589 |
"spike_reg": 0.0,
|
|
|
|
| 591 |
"decision_margin": 2.0,
|
| 592 |
"export": false,
|
| 593 |
"seed": 1234,
|
| 594 |
+
"hub_dir": "/kaggle/working/hub/opt01_ttfs_dta/ttfs_halt_k2",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 595 |
"repo_id": "UWU-R-13/SSVEP-SNN",
|
| 596 |
"push_hf": false,
|
| 597 |
"keep_epoch_weights": 1,
|
| 598 |
"no_resume": true,
|
| 599 |
"selftest": false,
|
| 600 |
+
"baseline": false,
|
| 601 |
+
"bench": true,
|
| 602 |
+
"bench_warmup": 10,
|
| 603 |
+
"bench_iters": 50,
|
| 604 |
+
"bench_train_steps": 20,
|
| 605 |
+
"ttfs": true,
|
| 606 |
+
"ttfs_halt_k": 2,
|
| 607 |
+
"dta": true,
|
| 608 |
+
"dta_target_rate": 0.05,
|
| 609 |
+
"dta_readout_rate": 0.95,
|
| 610 |
+
"ttfs_logit_scale": 10.0,
|
| 611 |
+
"dta_momentum": 0.1,
|
| 612 |
+
"dta_min": 0.2,
|
| 613 |
+
"dta_max": 5.0,
|
| 614 |
+
"dta_windup_patience": 200,
|
| 615 |
"sampling_rate": 250.0
|
| 616 |
}
|
| 617 |
},
|
| 618 |
"zip": {
|
| 619 |
+
"name": "ttfs_halt_k2.zip",
|
| 620 |
"files": 80,
|
| 621 |
+
"bytes": 12550233,
|
| 622 |
+
"MB": 12.6,
|
| 623 |
+
"sha256": "a2405580d698ac72ad152755bc18092b397e88e06d8b67b05ce9fe8a7ae6d838"
|
| 624 |
}
|
| 625 |
},
|
| 626 |
{
|
| 627 |
+
"key": "opt02_seenn_bayes/conf_0.5",
|
| 628 |
+
"tag": "conf_0.5",
|
| 629 |
"script": "opt02_seenn_bayes.py",
|
| 630 |
"hf_folder": "applied/opt02_seenn_bayes",
|
| 631 |
+
"phase": 3,
|
| 632 |
"status": "ok",
|
| 633 |
+
"duration_s": 597.8,
|
| 634 |
"optimization_summary": {
|
| 635 |
"optimization": "seenn_early_exit_bayesian_fusion",
|
| 636 |
"research_section": "2. Temporal-dimension reduction",
|
|
|
|
| 639 |
"baseline_mode": false,
|
| 640 |
"method": "harmonic_matched",
|
| 641 |
"accuracy": {
|
| 642 |
+
"test_acc": 0.9257142857142857,
|
| 643 |
+
"test_target_acc": 0.9257142857142857,
|
| 644 |
+
"best_val_acc": 0.9278571428571428
|
| 645 |
},
|
| 646 |
"efficiency": {
|
| 647 |
"spikes_per_inference": null,
|
| 648 |
+
"syn_ops_per_inference": 3667001.4423701297,
|
| 649 |
"dense_macs_per_inference": 123955200.0,
|
| 650 |
+
"event_fraction_of_dense": 0.029583280430108053,
|
| 651 |
+
"syn_ops_per_inference_dense_fanout": 65243619.22889611,
|
| 652 |
"weight_sparsity": 0.7324707846410685,
|
| 653 |
+
"effective_ticks": 4.38,
|
| 654 |
"num_ticks": 100,
|
| 655 |
"membrane_bytes_per_inference": 451200,
|
| 656 |
"weight_bytes": 4907008,
|
| 657 |
"input_raster_bytes": null,
|
| 658 |
+
"train_ms_per_step": 179.7092080116272,
|
| 659 |
+
"infer_ms_per_sample": 0.6336252293994079,
|
| 660 |
+
"peak_vram_mb": 10914.760704,
|
| 661 |
+
"syn_ops_per_inference_early_exit": 1701440.4342532465
|
| 662 |
},
|
| 663 |
"optimization_specific": {
|
| 664 |
"seenn_enabled": true,
|
| 665 |
"bayes_fusion_enabled": true,
|
| 666 |
+
"conf_threshold": 0.5,
|
| 667 |
"conf_temp": 2.0,
|
| 668 |
"anytime_fracs": "0.25,0.5,1.0",
|
| 669 |
"anytime_weights": "0.3,0.3,1.0",
|
| 670 |
"ic_loss_weight": 0.3,
|
| 671 |
"ic_layer": 0,
|
| 672 |
+
"mean_exit_tick": 4.38,
|
| 673 |
+
"mean_exit_ms": 219.0,
|
| 674 |
+
"ticks_saved_frac": 0.9562,
|
| 675 |
"exit_tick_histogram": {
|
| 676 |
"counts": [
|
| 677 |
+
1371,
|
| 678 |
+
25,
|
|
|
|
| 679 |
4,
|
| 680 |
+
0,
|
| 681 |
+
0,
|
| 682 |
0,
|
| 683 |
0,
|
| 684 |
0,
|
|
|
|
| 699 |
100.0
|
| 700 |
]
|
| 701 |
},
|
| 702 |
+
"acc_fc_only": 0.9257142857142857,
|
| 703 |
"acc_ic_only": 0.935,
|
| 704 |
+
"acc_fused": 0.9342857142857143,
|
| 705 |
+
"acc_early_exit": 0.2257142857142857,
|
| 706 |
+
"syn_ops_saved_frac": 0.5360131538007966,
|
| 707 |
+
"syn_per_inference_early_exit": 1701440.4342532465,
|
| 708 |
"anytime_acc": {
|
| 709 |
+
"0.25": 0.6078571428571429,
|
| 710 |
+
"0.5": 0.8221428571428572,
|
| 711 |
+
"0.75": 0.8957142857142857,
|
| 712 |
+
"1.0": 0.9257142857142857
|
| 713 |
},
|
| 714 |
"pareto": [
|
| 715 |
{
|
| 716 |
"conf": 0.5,
|
| 717 |
+
"mean_ticks": 4.38,
|
| 718 |
+
"acc": 0.2257142857142857,
|
| 719 |
+
"syn_ops": 1701440.4301948054
|
| 720 |
},
|
| 721 |
{
|
| 722 |
"conf": 0.7,
|
| 723 |
+
"mean_ticks": 5.145714285714286,
|
| 724 |
+
"acc": 0.25642857142857145,
|
| 725 |
+
"syn_ops": 1733398.2719155846
|
| 726 |
},
|
| 727 |
{
|
| 728 |
"conf": 0.8,
|
| 729 |
+
"mean_ticks": 6.0442857142857145,
|
| 730 |
+
"acc": 0.295,
|
| 731 |
+
"syn_ops": 1770153.554383117
|
| 732 |
},
|
| 733 |
{
|
| 734 |
"conf": 0.9,
|
| 735 |
+
"mean_ticks": 8.140714285714285,
|
| 736 |
+
"acc": 0.3757142857142857,
|
| 737 |
+
"syn_ops": 1843691.239448052
|
| 738 |
},
|
| 739 |
{
|
| 740 |
"conf": 0.95,
|
| 741 |
+
"mean_ticks": 10.122857142857143,
|
| 742 |
+
"acc": 0.44357142857142856,
|
| 743 |
+
"syn_ops": 1899936.8051948054
|
| 744 |
},
|
| 745 |
{
|
| 746 |
"conf": 0.99,
|
| 747 |
+
"mean_ticks": 14.419285714285714,
|
| 748 |
+
"acc": 0.5728571428571428,
|
| 749 |
+
"syn_ops": 2001693.648538961
|
| 750 |
}
|
| 751 |
]
|
| 752 |
},
|
|
|
|
| 799 |
"ic_loss_weight": 0.3,
|
| 800 |
"bayes_fusion": true,
|
| 801 |
"fusion_prior_weight": 1.0,
|
| 802 |
+
"conf_threshold": 0.5,
|
| 803 |
"conf_temp": 2.0,
|
| 804 |
"conf_sweep": "0.5,0.7,0.8,0.9,0.95,0.99",
|
| 805 |
+
"hub_dir": "/kaggle/working/hub/opt02_seenn_bayes/conf_0.5",
|
| 806 |
"repo_id": "UWU-R-13/SSVEP-SNN",
|
| 807 |
"push_hf": false,
|
| 808 |
"keep_epoch_weights": 1,
|
|
|
|
| 812 |
}
|
| 813 |
},
|
| 814 |
"zip": {
|
| 815 |
+
"name": "conf_0.5.zip",
|
| 816 |
"files": 81,
|
| 817 |
+
"bytes": 12639386,
|
| 818 |
"MB": 12.6,
|
| 819 |
+
"sha256": "162ddbf03a10a75e5294c6ce6b8d399325b51f498ed3c54f52d6f80ee3ea4097"
|
| 820 |
}
|
| 821 |
},
|
| 822 |
{
|
| 823 |
+
"key": "opt02_seenn_bayes/conf_0.7",
|
| 824 |
+
"tag": "conf_0.7",
|
| 825 |
+
"script": "opt02_seenn_bayes.py",
|
| 826 |
+
"hf_folder": "applied/opt02_seenn_bayes",
|
| 827 |
+
"phase": 3,
|
| 828 |
"status": "ok",
|
| 829 |
+
"duration_s": 596.1,
|
| 830 |
"optimization_summary": {
|
| 831 |
+
"optimization": "seenn_early_exit_bayesian_fusion",
|
| 832 |
+
"research_section": "2. Temporal-dimension reduction",
|
| 833 |
+
"reference": "SEENN: Towards Temporal Spiking Early-Exit Neural Networks, arXiv:2304.01230 (NeurIPS 2023); BayesianSpikeFusion, Front. Neurosci. 2024 (PMC11330889)",
|
| 834 |
+
"script": "opt02_seenn_bayes.py",
|
| 835 |
+
"baseline_mode": false,
|
| 836 |
"method": "harmonic_matched",
|
| 837 |
"accuracy": {
|
| 838 |
+
"test_acc": 0.9235714285714286,
|
| 839 |
+
"test_target_acc": 0.9235714285714286,
|
| 840 |
+
"best_val_acc": 0.9307142857142857
|
| 841 |
},
|
| 842 |
"efficiency": {
|
| 843 |
"spikes_per_inference": null,
|
| 844 |
+
"syn_ops_per_inference": 3646728.713474026,
|
| 845 |
+
"dense_macs_per_inference": 123955200.0,
|
| 846 |
+
"event_fraction_of_dense": 0.02941973159233357,
|
| 847 |
+
"syn_ops_per_inference_dense_fanout": 65223346.5,
|
| 848 |
"weight_sparsity": 0.7324707846410685,
|
| 849 |
+
"effective_ticks": 5.101428571428571,
|
| 850 |
"num_ticks": 100,
|
| 851 |
"membrane_bytes_per_inference": 451200,
|
| 852 |
"weight_bytes": 4907008,
|
| 853 |
"input_raster_bytes": null,
|
| 854 |
+
"train_ms_per_step": 179.2108416557312,
|
| 855 |
+
"infer_ms_per_sample": 0.6331442738298195,
|
| 856 |
+
"peak_vram_mb": 10914.71616,
|
| 857 |
+
"syn_ops_per_inference_early_exit": 1786668.6314935065
|
| 858 |
},
|
| 859 |
"optimization_specific": {
|
| 860 |
+
"seenn_enabled": true,
|
| 861 |
+
"bayes_fusion_enabled": true,
|
| 862 |
+
"conf_threshold": 0.7,
|
| 863 |
+
"conf_temp": 2.0,
|
| 864 |
+
"anytime_fracs": "0.25,0.5,1.0",
|
| 865 |
+
"anytime_weights": "0.3,0.3,1.0",
|
| 866 |
+
"ic_loss_weight": 0.3,
|
| 867 |
+
"ic_layer": 0,
|
| 868 |
+
"mean_exit_tick": 5.101428571428571,
|
| 869 |
+
"mean_exit_ms": 255.07142857142856,
|
| 870 |
+
"ticks_saved_frac": 0.9489857142857143,
|
| 871 |
+
"exit_tick_histogram": {
|
| 872 |
+
"counts": [
|
| 873 |
+
1307,
|
| 874 |
+
85,
|
| 875 |
+
5,
|
| 876 |
+
2,
|
| 877 |
+
1,
|
| 878 |
+
0,
|
| 879 |
+
0,
|
| 880 |
+
0,
|
| 881 |
+
0,
|
| 882 |
+
0
|
| 883 |
+
],
|
| 884 |
+
"edges": [
|
| 885 |
+
0.0,
|
| 886 |
+
10.0,
|
| 887 |
+
20.0,
|
| 888 |
+
30.0,
|
| 889 |
+
40.0,
|
| 890 |
+
50.0,
|
| 891 |
+
60.0,
|
| 892 |
+
70.0,
|
| 893 |
+
80.0,
|
| 894 |
+
90.0,
|
| 895 |
+
100.0
|
| 896 |
+
]
|
| 897 |
+
},
|
| 898 |
+
"acc_fc_only": 0.9235714285714286,
|
| 899 |
+
"acc_ic_only": 0.9385714285714286,
|
| 900 |
+
"acc_fused": 0.9328571428571428,
|
| 901 |
+
"acc_early_exit": 0.27071428571428574,
|
| 902 |
+
"syn_ops_saved_frac": 0.5100626419256037,
|
| 903 |
+
"syn_per_inference_early_exit": 1786668.6314935065,
|
| 904 |
+
"anytime_acc": {
|
| 905 |
+
"0.25": 0.6235714285714286,
|
| 906 |
+
"0.5": 0.8142857142857143,
|
| 907 |
+
"0.75": 0.8857142857142857,
|
| 908 |
+
"1.0": 0.9235714285714286
|
| 909 |
+
},
|
| 910 |
+
"pareto": [
|
| 911 |
+
{
|
| 912 |
+
"conf": 0.5,
|
| 913 |
+
"mean_ticks": 4.373571428571428,
|
| 914 |
+
"acc": 0.245,
|
| 915 |
+
"syn_ops": 1757887.0267857143
|
| 916 |
+
},
|
| 917 |
+
{
|
| 918 |
+
"conf": 0.7,
|
| 919 |
+
"mean_ticks": 5.101428571428571,
|
| 920 |
+
"acc": 0.27071428571428574,
|
| 921 |
+
"syn_ops": 1786668.6030844154
|
| 922 |
+
},
|
| 923 |
+
{
|
| 924 |
+
"conf": 0.8,
|
| 925 |
+
"mean_ticks": 6.018571428571429,
|
| 926 |
+
"acc": 0.3078571428571429,
|
| 927 |
+
"syn_ops": 1823311.8506493508
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"conf": 0.9,
|
| 931 |
+
"mean_ticks": 8.03357142857143,
|
| 932 |
+
"acc": 0.38357142857142856,
|
| 933 |
+
"syn_ops": 1892237.018668831
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"conf": 0.95,
|
| 937 |
+
"mean_ticks": 10.159285714285714,
|
| 938 |
+
"acc": 0.45785714285714285,
|
| 939 |
+
"syn_ops": 1951178.429383117
|
| 940 |
+
},
|
| 941 |
+
{
|
| 942 |
+
"conf": 0.99,
|
| 943 |
+
"mean_ticks": 14.51,
|
| 944 |
+
"acc": 0.575,
|
| 945 |
+
"syn_ops": 2049664.4594155846
|
| 946 |
+
}
|
| 947 |
+
]
|
| 948 |
+
},
|
| 949 |
+
"config": {
|
| 950 |
+
"method": "harmonic_matched",
|
| 951 |
+
"data_root": "/kaggle/working/data",
|
| 952 |
+
"subjects": "",
|
| 953 |
+
"blocks": "",
|
| 954 |
+
"limit": 0,
|
| 955 |
+
"drop_rest": true,
|
| 956 |
+
"resplit": "block",
|
| 957 |
+
"test_blocks": "6",
|
| 958 |
+
"class_weight": false,
|
| 959 |
+
"epochs": 60,
|
| 960 |
+
"batch_size": 64,
|
| 961 |
+
"lr": 0.002,
|
| 962 |
+
"weight_decay": 0.0005,
|
| 963 |
+
"grad_clip": 5.0,
|
| 964 |
+
"num_bins": 100,
|
| 965 |
+
"window_sec": 5.0,
|
| 966 |
+
"hidden": "512,256",
|
| 967 |
+
"freq_groups": 8,
|
| 968 |
+
"dropout": 0.3,
|
| 969 |
+
"spike_drop": 0.1,
|
| 970 |
+
"time_jitter": 2,
|
| 971 |
+
"label_smoothing": 0.05,
|
| 972 |
+
"no_batchnorm": false,
|
| 973 |
+
"binary_input": false,
|
| 974 |
+
"beta": 1.0,
|
| 975 |
+
"thresh": 1.0,
|
| 976 |
+
"window": 0.5,
|
| 977 |
+
"gain": 1.0,
|
| 978 |
+
"alpha": 0.9,
|
| 979 |
+
"readout": "spikecount",
|
| 980 |
+
"fake_quant": 0,
|
| 981 |
+
"amp": false,
|
| 982 |
+
"spike_reg": 0.0,
|
| 983 |
+
"event_eval": true,
|
| 984 |
+
"decision_margin": 2.0,
|
| 985 |
+
"export": false,
|
| 986 |
+
"seed": 1234,
|
| 987 |
+
"baseline": false,
|
| 988 |
+
"bench": true,
|
| 989 |
+
"bench_warmup": 10,
|
| 990 |
+
"bench_iters": 50,
|
| 991 |
+
"bench_train_steps": 20,
|
| 992 |
+
"anytime_fracs": "0.25,0.5,1.0",
|
| 993 |
+
"anytime_weights": "0.3,0.3,1.0",
|
| 994 |
+
"ic_layer": 0,
|
| 995 |
+
"ic_loss_weight": 0.3,
|
| 996 |
+
"bayes_fusion": true,
|
| 997 |
+
"fusion_prior_weight": 1.0,
|
| 998 |
+
"conf_threshold": 0.7,
|
| 999 |
+
"conf_temp": 2.0,
|
| 1000 |
+
"conf_sweep": "0.5,0.7,0.8,0.9,0.95,0.99",
|
| 1001 |
+
"hub_dir": "/kaggle/working/hub/opt02_seenn_bayes/conf_0.7",
|
| 1002 |
+
"repo_id": "UWU-R-13/SSVEP-SNN",
|
| 1003 |
+
"push_hf": false,
|
| 1004 |
+
"keep_epoch_weights": 1,
|
| 1005 |
+
"no_resume": true,
|
| 1006 |
+
"selftest": false,
|
| 1007 |
+
"sampling_rate": 250.0
|
| 1008 |
+
}
|
| 1009 |
+
},
|
| 1010 |
+
"zip": {
|
| 1011 |
+
"name": "conf_0.7.zip",
|
| 1012 |
+
"files": 81,
|
| 1013 |
+
"bytes": 12639521,
|
| 1014 |
+
"MB": 12.6,
|
| 1015 |
+
"sha256": "06560b9ecd3e68cfa941be25d487165bfc2c44307143706a744998bafbbdbdd6"
|
| 1016 |
+
}
|
| 1017 |
+
},
|
| 1018 |
+
{
|
| 1019 |
+
"key": "opt02_seenn_bayes/conf_0.95",
|
| 1020 |
+
"tag": "conf_0.95",
|
| 1021 |
+
"script": "opt02_seenn_bayes.py",
|
| 1022 |
+
"hf_folder": "applied/opt02_seenn_bayes",
|
| 1023 |
+
"phase": 3,
|
| 1024 |
+
"status": "ok",
|
| 1025 |
+
"duration_s": 595.7,
|
| 1026 |
+
"optimization_summary": {
|
| 1027 |
+
"optimization": "seenn_early_exit_bayesian_fusion",
|
| 1028 |
+
"research_section": "2. Temporal-dimension reduction",
|
| 1029 |
+
"reference": "SEENN: Towards Temporal Spiking Early-Exit Neural Networks, arXiv:2304.01230 (NeurIPS 2023); BayesianSpikeFusion, Front. Neurosci. 2024 (PMC11330889)",
|
| 1030 |
+
"script": "opt02_seenn_bayes.py",
|
| 1031 |
+
"baseline_mode": false,
|
| 1032 |
+
"method": "harmonic_matched",
|
| 1033 |
+
"accuracy": {
|
| 1034 |
+
"test_acc": 0.9242857142857143,
|
| 1035 |
+
"test_target_acc": 0.9242857142857143,
|
| 1036 |
+
"best_val_acc": 0.9271428571428572
|
| 1037 |
+
},
|
| 1038 |
+
"efficiency": {
|
| 1039 |
+
"spikes_per_inference": null,
|
| 1040 |
+
"syn_ops_per_inference": 3638148.597402598,
|
| 1041 |
+
"dense_macs_per_inference": 123955200.0,
|
| 1042 |
+
"event_fraction_of_dense": 0.02935051209955369,
|
| 1043 |
+
"syn_ops_per_inference_dense_fanout": 65214766.38392857,
|
| 1044 |
+
"weight_sparsity": 0.7324707846410685,
|
| 1045 |
+
"effective_ticks": 10.347142857142858,
|
| 1046 |
+
"num_ticks": 100,
|
| 1047 |
+
"membrane_bytes_per_inference": 451200,
|
| 1048 |
+
"weight_bytes": 4907008,
|
| 1049 |
+
"input_raster_bytes": null,
|
| 1050 |
+
"train_ms_per_step": 178.97343635559082,
|
| 1051 |
+
"infer_ms_per_sample": 0.6334354829548592,
|
| 1052 |
+
"peak_vram_mb": 10914.694144,
|
| 1053 |
+
"syn_ops_per_inference_early_exit": 1957780.4618506492
|
| 1054 |
+
},
|
| 1055 |
+
"optimization_specific": {
|
| 1056 |
+
"seenn_enabled": true,
|
| 1057 |
+
"bayes_fusion_enabled": true,
|
| 1058 |
+
"conf_threshold": 0.95,
|
| 1059 |
+
"conf_temp": 2.0,
|
| 1060 |
+
"anytime_fracs": "0.25,0.5,1.0",
|
| 1061 |
+
"anytime_weights": "0.3,0.3,1.0",
|
| 1062 |
+
"ic_loss_weight": 0.3,
|
| 1063 |
+
"ic_layer": 0,
|
| 1064 |
+
"mean_exit_tick": 10.347142857142858,
|
| 1065 |
+
"mean_exit_ms": 517.357142857143,
|
| 1066 |
+
"ticks_saved_frac": 0.8965285714285715,
|
| 1067 |
+
"exit_tick_histogram": {
|
| 1068 |
+
"counts": [
|
| 1069 |
+
775,
|
| 1070 |
+
521,
|
| 1071 |
+
82,
|
| 1072 |
+
15,
|
| 1073 |
+
6,
|
| 1074 |
+
1,
|
| 1075 |
+
0,
|
| 1076 |
+
0,
|
| 1077 |
+
0,
|
| 1078 |
+
0
|
| 1079 |
+
],
|
| 1080 |
+
"edges": [
|
| 1081 |
+
0.0,
|
| 1082 |
+
10.0,
|
| 1083 |
+
20.0,
|
| 1084 |
+
30.0,
|
| 1085 |
+
40.0,
|
| 1086 |
+
50.0,
|
| 1087 |
+
60.0,
|
| 1088 |
+
70.0,
|
| 1089 |
+
80.0,
|
| 1090 |
+
90.0,
|
| 1091 |
+
100.0
|
| 1092 |
+
]
|
| 1093 |
+
},
|
| 1094 |
+
"acc_fc_only": 0.9242857142857143,
|
| 1095 |
+
"acc_ic_only": 0.9392857142857143,
|
| 1096 |
+
"acc_fused": 0.9357142857142857,
|
| 1097 |
+
"acc_early_exit": 0.45357142857142857,
|
| 1098 |
+
"syn_ops_saved_frac": 0.4618745195706472,
|
| 1099 |
+
"syn_per_inference_early_exit": 1957780.4618506492,
|
| 1100 |
+
"anytime_acc": {
|
| 1101 |
+
"0.25": 0.6142857142857143,
|
| 1102 |
+
"0.5": 0.8142857142857143,
|
| 1103 |
+
"0.75": 0.8892857142857142,
|
| 1104 |
+
"1.0": 0.9242857142857143
|
| 1105 |
+
},
|
| 1106 |
+
"pareto": [
|
| 1107 |
+
{
|
| 1108 |
+
"conf": 0.5,
|
| 1109 |
+
"mean_ticks": 4.299285714285714,
|
| 1110 |
+
"acc": 0.2342857142857143,
|
| 1111 |
+
"syn_ops": 1760335.4797077922
|
| 1112 |
+
},
|
| 1113 |
+
{
|
| 1114 |
+
"conf": 0.7,
|
| 1115 |
+
"mean_ticks": 5.031428571428571,
|
| 1116 |
+
"acc": 0.25642857142857145,
|
| 1117 |
+
"syn_ops": 1790720.1217532465
|
| 1118 |
+
},
|
| 1119 |
+
{
|
| 1120 |
+
"conf": 0.8,
|
| 1121 |
+
"mean_ticks": 6.082857142857143,
|
| 1122 |
+
"acc": 0.3028571428571429,
|
| 1123 |
+
"syn_ops": 1831832.4009740262
|
| 1124 |
+
},
|
| 1125 |
+
{
|
| 1126 |
+
"conf": 0.9,
|
| 1127 |
+
"mean_ticks": 8.172142857142857,
|
| 1128 |
+
"acc": 0.37357142857142855,
|
| 1129 |
+
"syn_ops": 1899309.7069805192
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"conf": 0.95,
|
| 1133 |
+
"mean_ticks": 10.347142857142858,
|
| 1134 |
+
"acc": 0.45357142857142857,
|
| 1135 |
+
"syn_ops": 1957780.672077922
|
| 1136 |
+
},
|
| 1137 |
+
{
|
| 1138 |
+
"conf": 0.99,
|
| 1139 |
+
"mean_ticks": 14.625,
|
| 1140 |
+
"acc": 0.5785714285714286,
|
| 1141 |
+
"syn_ops": 2047858.3961038962
|
| 1142 |
+
}
|
| 1143 |
+
]
|
| 1144 |
+
},
|
| 1145 |
+
"config": {
|
| 1146 |
+
"method": "harmonic_matched",
|
| 1147 |
+
"data_root": "/kaggle/working/data",
|
| 1148 |
+
"subjects": "",
|
| 1149 |
+
"blocks": "",
|
| 1150 |
+
"limit": 0,
|
| 1151 |
+
"drop_rest": true,
|
| 1152 |
+
"resplit": "block",
|
| 1153 |
+
"test_blocks": "6",
|
| 1154 |
+
"class_weight": false,
|
| 1155 |
+
"epochs": 60,
|
| 1156 |
+
"batch_size": 64,
|
| 1157 |
+
"lr": 0.002,
|
| 1158 |
+
"weight_decay": 0.0005,
|
| 1159 |
+
"grad_clip": 5.0,
|
| 1160 |
+
"num_bins": 100,
|
| 1161 |
+
"window_sec": 5.0,
|
| 1162 |
+
"hidden": "512,256",
|
| 1163 |
+
"freq_groups": 8,
|
| 1164 |
+
"dropout": 0.3,
|
| 1165 |
+
"spike_drop": 0.1,
|
| 1166 |
+
"time_jitter": 2,
|
| 1167 |
+
"label_smoothing": 0.05,
|
| 1168 |
+
"no_batchnorm": false,
|
| 1169 |
+
"binary_input": false,
|
| 1170 |
+
"beta": 1.0,
|
| 1171 |
+
"thresh": 1.0,
|
| 1172 |
+
"window": 0.5,
|
| 1173 |
+
"gain": 1.0,
|
| 1174 |
+
"alpha": 0.9,
|
| 1175 |
+
"readout": "spikecount",
|
| 1176 |
+
"fake_quant": 0,
|
| 1177 |
+
"amp": false,
|
| 1178 |
+
"spike_reg": 0.0,
|
| 1179 |
+
"event_eval": true,
|
| 1180 |
+
"decision_margin": 2.0,
|
| 1181 |
+
"export": false,
|
| 1182 |
+
"seed": 1234,
|
| 1183 |
+
"baseline": false,
|
| 1184 |
+
"bench": true,
|
| 1185 |
+
"bench_warmup": 10,
|
| 1186 |
+
"bench_iters": 50,
|
| 1187 |
+
"bench_train_steps": 20,
|
| 1188 |
+
"anytime_fracs": "0.25,0.5,1.0",
|
| 1189 |
+
"anytime_weights": "0.3,0.3,1.0",
|
| 1190 |
+
"ic_layer": 0,
|
| 1191 |
+
"ic_loss_weight": 0.3,
|
| 1192 |
+
"bayes_fusion": true,
|
| 1193 |
+
"fusion_prior_weight": 1.0,
|
| 1194 |
+
"conf_threshold": 0.95,
|
| 1195 |
+
"conf_temp": 2.0,
|
| 1196 |
+
"conf_sweep": "0.5,0.7,0.8,0.9,0.95,0.99",
|
| 1197 |
+
"hub_dir": "/kaggle/working/hub/opt02_seenn_bayes/conf_0.95",
|
| 1198 |
+
"repo_id": "UWU-R-13/SSVEP-SNN",
|
| 1199 |
+
"push_hf": false,
|
| 1200 |
+
"keep_epoch_weights": 1,
|
| 1201 |
+
"no_resume": true,
|
| 1202 |
+
"selftest": false,
|
| 1203 |
+
"sampling_rate": 250.0
|
| 1204 |
+
}
|
| 1205 |
+
},
|
| 1206 |
+
"zip": {
|
| 1207 |
+
"name": "conf_0.95.zip",
|
| 1208 |
+
"files": 81,
|
| 1209 |
+
"bytes": 12639768,
|
| 1210 |
+
"MB": 12.6,
|
| 1211 |
+
"sha256": "00cab3b3a3532412c189f9cb233e45acabc4376d5c7de1cbe54d5c25d6f2d53f"
|
| 1212 |
+
}
|
| 1213 |
+
},
|
| 1214 |
+
{
|
| 1215 |
+
"key": "opt02_seenn_bayes/conf_0.99",
|
| 1216 |
+
"tag": "conf_0.99",
|
| 1217 |
+
"script": "opt02_seenn_bayes.py",
|
| 1218 |
+
"hf_folder": "applied/opt02_seenn_bayes",
|
| 1219 |
+
"phase": 3,
|
| 1220 |
+
"status": "ok",
|
| 1221 |
+
"duration_s": 597.8,
|
| 1222 |
+
"optimization_summary": {
|
| 1223 |
+
"optimization": "seenn_early_exit_bayesian_fusion",
|
| 1224 |
+
"research_section": "2. Temporal-dimension reduction",
|
| 1225 |
+
"reference": "SEENN: Towards Temporal Spiking Early-Exit Neural Networks, arXiv:2304.01230 (NeurIPS 2023); BayesianSpikeFusion, Front. Neurosci. 2024 (PMC11330889)",
|
| 1226 |
+
"script": "opt02_seenn_bayes.py",
|
| 1227 |
+
"baseline_mode": false,
|
| 1228 |
+
"method": "harmonic_matched",
|
| 1229 |
+
"accuracy": {
|
| 1230 |
+
"test_acc": 0.9257142857142857,
|
| 1231 |
+
"test_target_acc": 0.9257142857142857,
|
| 1232 |
+
"best_val_acc": 0.9285714285714286
|
| 1233 |
+
},
|
| 1234 |
+
"efficiency": {
|
| 1235 |
+
"spikes_per_inference": null,
|
| 1236 |
+
"syn_ops_per_inference": 3663273.849837662,
|
| 1237 |
+
"dense_macs_per_inference": 123955200.0,
|
| 1238 |
+
"event_fraction_of_dense": 0.029553208335250658,
|
| 1239 |
+
"syn_ops_per_inference_dense_fanout": 65239891.63636363,
|
| 1240 |
+
"weight_sparsity": 0.7324707846410685,
|
| 1241 |
+
"effective_ticks": 14.498571428571429,
|
| 1242 |
+
"num_ticks": 100,
|
| 1243 |
+
"membrane_bytes_per_inference": 451200,
|
| 1244 |
+
"weight_bytes": 4907008,
|
| 1245 |
+
"input_raster_bytes": null,
|
| 1246 |
+
"train_ms_per_step": 179.46667671203613,
|
| 1247 |
+
"infer_ms_per_sample": 0.6342180559982606,
|
| 1248 |
+
"peak_vram_mb": 10914.656256,
|
| 1249 |
+
"syn_ops_per_inference_early_exit": 2044428.423701299
|
| 1250 |
+
},
|
| 1251 |
+
"optimization_specific": {
|
| 1252 |
+
"seenn_enabled": true,
|
| 1253 |
+
"bayes_fusion_enabled": true,
|
| 1254 |
+
"conf_threshold": 0.99,
|
| 1255 |
+
"conf_temp": 2.0,
|
| 1256 |
+
"anytime_fracs": "0.25,0.5,1.0",
|
| 1257 |
+
"anytime_weights": "0.3,0.3,1.0",
|
| 1258 |
+
"ic_loss_weight": 0.3,
|
| 1259 |
+
"ic_layer": 0,
|
| 1260 |
+
"mean_exit_tick": 14.498571428571429,
|
| 1261 |
+
"mean_exit_ms": 724.9285714285714,
|
| 1262 |
+
"ticks_saved_frac": 0.8550142857142857,
|
| 1263 |
+
"exit_tick_histogram": {
|
| 1264 |
+
"counts": [
|
| 1265 |
+
466,
|
| 1266 |
+
636,
|
| 1267 |
+
198,
|
| 1268 |
+
69,
|
| 1269 |
+
24,
|
| 1270 |
+
6,
|
| 1271 |
+
1,
|
| 1272 |
+
0,
|
| 1273 |
+
0,
|
| 1274 |
+
0
|
| 1275 |
+
],
|
| 1276 |
+
"edges": [
|
| 1277 |
+
0.0,
|
| 1278 |
+
10.0,
|
| 1279 |
+
20.0,
|
| 1280 |
+
30.0,
|
| 1281 |
+
40.0,
|
| 1282 |
+
50.0,
|
| 1283 |
+
60.0,
|
| 1284 |
+
70.0,
|
| 1285 |
+
80.0,
|
| 1286 |
+
90.0,
|
| 1287 |
+
100.0
|
| 1288 |
+
]
|
| 1289 |
+
},
|
| 1290 |
+
"acc_fc_only": 0.9257142857142857,
|
| 1291 |
+
"acc_ic_only": 0.9364285714285714,
|
| 1292 |
+
"acc_fused": 0.9357142857142857,
|
| 1293 |
+
"acc_early_exit": 0.5828571428571429,
|
| 1294 |
+
"syn_ops_saved_frac": 0.4419122054465304,
|
| 1295 |
+
"syn_per_inference_early_exit": 2044428.423701299,
|
| 1296 |
+
"anytime_acc": {
|
| 1297 |
+
"0.25": 0.6142857142857143,
|
| 1298 |
+
"0.5": 0.8257142857142857,
|
| 1299 |
+
"0.75": 0.8942857142857142,
|
| 1300 |
+
"1.0": 0.9257142857142857
|
| 1301 |
+
},
|
| 1302 |
+
"pareto": [
|
| 1303 |
+
{
|
| 1304 |
+
"conf": 0.5,
|
| 1305 |
+
"mean_ticks": 4.36,
|
| 1306 |
+
"acc": 0.24928571428571428,
|
| 1307 |
+
"syn_ops": 1750927.5121753246
|
| 1308 |
+
},
|
| 1309 |
+
{
|
| 1310 |
+
"conf": 0.7,
|
| 1311 |
+
"mean_ticks": 5.107857142857143,
|
| 1312 |
+
"acc": 0.2792857142857143,
|
| 1313 |
+
"syn_ops": 1781408.5868506492
|
| 1314 |
+
},
|
| 1315 |
+
{
|
| 1316 |
+
"conf": 0.8,
|
| 1317 |
+
"mean_ticks": 6.007857142857143,
|
| 1318 |
+
"acc": 0.3142857142857143,
|
| 1319 |
+
"syn_ops": 1818025.2240259738
|
| 1320 |
+
},
|
| 1321 |
+
{
|
| 1322 |
+
"conf": 0.9,
|
| 1323 |
+
"mean_ticks": 8.105,
|
| 1324 |
+
"acc": 0.39571428571428574,
|
| 1325 |
+
"syn_ops": 1888108.6534090908
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"conf": 0.95,
|
| 1329 |
+
"mean_ticks": 10.308571428571428,
|
| 1330 |
+
"acc": 0.4735714285714286,
|
| 1331 |
+
"syn_ops": 1948837.3271103897
|
| 1332 |
+
},
|
| 1333 |
+
{
|
| 1334 |
+
"conf": 0.99,
|
| 1335 |
+
"mean_ticks": 14.498571428571429,
|
| 1336 |
+
"acc": 0.5828571428571429,
|
| 1337 |
+
"syn_ops": 2044428.5941558443
|
| 1338 |
+
}
|
| 1339 |
+
]
|
| 1340 |
+
},
|
| 1341 |
+
"config": {
|
| 1342 |
+
"method": "harmonic_matched",
|
| 1343 |
+
"data_root": "/kaggle/working/data",
|
| 1344 |
+
"subjects": "",
|
| 1345 |
+
"blocks": "",
|
| 1346 |
+
"limit": 0,
|
| 1347 |
+
"drop_rest": true,
|
| 1348 |
+
"resplit": "block",
|
| 1349 |
+
"test_blocks": "6",
|
| 1350 |
+
"class_weight": false,
|
| 1351 |
+
"epochs": 60,
|
| 1352 |
+
"batch_size": 64,
|
| 1353 |
+
"lr": 0.002,
|
| 1354 |
+
"weight_decay": 0.0005,
|
| 1355 |
+
"grad_clip": 5.0,
|
| 1356 |
+
"num_bins": 100,
|
| 1357 |
+
"window_sec": 5.0,
|
| 1358 |
+
"hidden": "512,256",
|
| 1359 |
+
"freq_groups": 8,
|
| 1360 |
+
"dropout": 0.3,
|
| 1361 |
+
"spike_drop": 0.1,
|
| 1362 |
+
"time_jitter": 2,
|
| 1363 |
+
"label_smoothing": 0.05,
|
| 1364 |
+
"no_batchnorm": false,
|
| 1365 |
+
"binary_input": false,
|
| 1366 |
+
"beta": 1.0,
|
| 1367 |
+
"thresh": 1.0,
|
| 1368 |
+
"window": 0.5,
|
| 1369 |
+
"gain": 1.0,
|
| 1370 |
+
"alpha": 0.9,
|
| 1371 |
+
"readout": "spikecount",
|
| 1372 |
+
"fake_quant": 0,
|
| 1373 |
+
"amp": false,
|
| 1374 |
+
"spike_reg": 0.0,
|
| 1375 |
+
"event_eval": true,
|
| 1376 |
+
"decision_margin": 2.0,
|
| 1377 |
+
"export": false,
|
| 1378 |
+
"seed": 1234,
|
| 1379 |
+
"baseline": false,
|
| 1380 |
+
"bench": true,
|
| 1381 |
+
"bench_warmup": 10,
|
| 1382 |
+
"bench_iters": 50,
|
| 1383 |
+
"bench_train_steps": 20,
|
| 1384 |
+
"anytime_fracs": "0.25,0.5,1.0",
|
| 1385 |
+
"anytime_weights": "0.3,0.3,1.0",
|
| 1386 |
+
"ic_layer": 0,
|
| 1387 |
+
"ic_loss_weight": 0.3,
|
| 1388 |
+
"bayes_fusion": true,
|
| 1389 |
+
"fusion_prior_weight": 1.0,
|
| 1390 |
+
"conf_threshold": 0.99,
|
| 1391 |
+
"conf_temp": 2.0,
|
| 1392 |
+
"conf_sweep": "0.5,0.7,0.8,0.9,0.95,0.99",
|
| 1393 |
+
"hub_dir": "/kaggle/working/hub/opt02_seenn_bayes/conf_0.99",
|
| 1394 |
+
"repo_id": "UWU-R-13/SSVEP-SNN",
|
| 1395 |
+
"push_hf": false,
|
| 1396 |
+
"keep_epoch_weights": 1,
|
| 1397 |
+
"no_resume": true,
|
| 1398 |
+
"selftest": false,
|
| 1399 |
+
"sampling_rate": 250.0
|
| 1400 |
+
}
|
| 1401 |
+
},
|
| 1402 |
+
"zip": {
|
| 1403 |
+
"name": "conf_0.99.zip",
|
| 1404 |
+
"files": 81,
|
| 1405 |
+
"bytes": 12639694,
|
| 1406 |
+
"MB": 12.6,
|
| 1407 |
+
"sha256": "2673af6c589e17720b6676d7f3eec3a62019f7a4cad5c0e7a45b974cf0f77f76"
|
| 1408 |
+
}
|
| 1409 |
+
},
|
| 1410 |
+
{
|
| 1411 |
+
"key": "opt03_ftbc_threshold_balance/calib_p95",
|
| 1412 |
+
"tag": "calib_p95",
|
| 1413 |
+
"script": "opt03_ftbc_threshold_balance.py",
|
| 1414 |
+
"hf_folder": "applied/opt03_ftbc_threshold_balance",
|
| 1415 |
+
"phase": 3,
|
| 1416 |
+
"status": "ok",
|
| 1417 |
+
"duration_s": 378.3,
|
| 1418 |
+
"optimization_summary": {
|
| 1419 |
+
"optimization": "ftbc_threshold_balance",
|
| 1420 |
+
"research_section": "2. Temporal-Dimension Reduction (threshold balancing + FTBC)",
|
| 1421 |
+
"reference": "Rueckauer et al. arXiv:1612.04052; Sengupta et al. arXiv:1802.02627; FTBC: Forward Temporal Bias Correction, ECCV 2024",
|
| 1422 |
+
"script": "opt03_ftbc_threshold_balance.py",
|
| 1423 |
+
"baseline_mode": false,
|
| 1424 |
+
"method": "harmonic_matched",
|
| 1425 |
+
"accuracy": {
|
| 1426 |
+
"test_acc": 0.9321428571428572,
|
| 1427 |
+
"test_target_acc": 0.9321428571428572,
|
| 1428 |
+
"best_val_acc": 0.9428571428571428
|
| 1429 |
+
},
|
| 1430 |
+
"efficiency": {
|
| 1431 |
+
"spikes_per_inference": null,
|
| 1432 |
+
"syn_ops_per_inference": 3264047.4829545454,
|
| 1433 |
+
"dense_macs_per_inference": 122675200.0,
|
| 1434 |
+
"event_fraction_of_dense": 0.026607231803612675,
|
| 1435 |
+
"syn_ops_per_inference_dense_fanout": 64840665.26948052,
|
| 1436 |
+
"weight_sparsity": 0.7324707846410685,
|
| 1437 |
+
"effective_ticks": 11.949285714285715,
|
| 1438 |
+
"num_ticks": 100,
|
| 1439 |
+
"membrane_bytes_per_inference": 451200,
|
| 1440 |
+
"weight_bytes": 4907008,
|
| 1441 |
+
"input_raster_bytes": null,
|
| 1442 |
+
"train_ms_per_step": 101.53206159998263,
|
| 1443 |
+
"infer_ms_per_sample": 0.6751663200000735,
|
| 1444 |
+
"peak_vram_mb": 2832.422912
|
| 1445 |
+
},
|
| 1446 |
+
"optimization_specific": {
|
| 1447 |
+
"calibrate_thresh": true,
|
| 1448 |
+
"ftbc": true,
|
| 1449 |
+
"calib_percentile": 95.0,
|
| 1450 |
+
"calib_batches": 8,
|
| 1451 |
+
"ftbc_target_ticks": 8,
|
| 1452 |
+
"ftbc_ref_ticks": 100,
|
| 1453 |
+
"trained_T": 100,
|
| 1454 |
+
"thresh_before": [
|
| 1455 |
+
1.0,
|
| 1456 |
+
1.0,
|
| 1457 |
+
1.0,
|
| 1458 |
+
1.0
|
| 1459 |
+
],
|
| 1460 |
+
"thresh_after": [
|
| 1461 |
+
0.5629911422729492,
|
| 1462 |
+
0.4806070923805237,
|
| 1463 |
+
0.8457203507423401,
|
| 1464 |
+
1.6999517679214478
|
| 1465 |
+
],
|
| 1466 |
+
"min_ticks_within_1pct_of_full": null,
|
| 1467 |
+
"min_ticks_within_1pct_per_arm": {
|
| 1468 |
+
"raw": 50,
|
| 1469 |
+
"thresh": null,
|
| 1470 |
+
"ftbc": 100,
|
| 1471 |
+
"both": null
|
| 1472 |
+
},
|
| 1473 |
+
"speedup_at_min_ticks": null,
|
| 1474 |
+
"full_T_acc": 0.9428571428571428,
|
| 1475 |
+
"t_sweep_rows": [
|
| 1476 |
+
{
|
| 1477 |
+
"T": 4,
|
| 1478 |
+
"arm": "raw",
|
| 1479 |
+
"acc": 0.305,
|
| 1480 |
+
"syn_per_inference": 1871713.2256493508,
|
| 1481 |
+
"dense_per_inference": 4907008.0,
|
| 1482 |
+
"event_fraction_of_dense": 0.3814367585398986
|
| 1483 |
+
},
|
| 1484 |
+
{
|
| 1485 |
+
"T": 4,
|
| 1486 |
+
"arm": "thresh",
|
| 1487 |
+
"acc": 0.3335714285714286,
|
| 1488 |
+
"syn_per_inference": 1909303.75487013,
|
| 1489 |
+
"dense_per_inference": 4907008.0,
|
| 1490 |
+
"event_fraction_of_dense": 0.38909733892223736
|
| 1491 |
+
},
|
| 1492 |
+
{
|
| 1493 |
+
"T": 4,
|
| 1494 |
+
"arm": "ftbc",
|
| 1495 |
+
"acc": 0.23357142857142857,
|
| 1496 |
+
"syn_per_inference": 1938631.2873376624,
|
| 1497 |
+
"dense_per_inference": 4907008.0,
|
| 1498 |
+
"event_fraction_of_dense": 0.39507400178228
|
| 1499 |
+
},
|
| 1500 |
+
{
|
| 1501 |
+
"T": 4,
|
| 1502 |
+
"arm": "both",
|
| 1503 |
+
"acc": 0.31785714285714284,
|
| 1504 |
+
"syn_per_inference": 2003910.9650974027,
|
| 1505 |
+
"dense_per_inference": 4907008.0,
|
| 1506 |
+
"event_fraction_of_dense": 0.40837735848350004
|
| 1507 |
+
},
|
| 1508 |
+
{
|
| 1509 |
+
"T": 8,
|
| 1510 |
+
"arm": "raw",
|
| 1511 |
+
"acc": 0.6157142857142858,
|
| 1512 |
+
"syn_per_inference": 2054740.7784090908,
|
| 1513 |
+
"dense_per_inference": 9814016.0,
|
| 1514 |
+
"event_fraction_of_dense": 0.20936798741810597
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"T": 8,
|
| 1518 |
+
"arm": "thresh",
|
| 1519 |
+
"acc": 0.535,
|
| 1520 |
+
"syn_per_inference": 2140106.012987013,
|
| 1521 |
+
"dense_per_inference": 9814016.0,
|
| 1522 |
+
"event_fraction_of_dense": 0.21806628529921013
|
| 1523 |
+
},
|
| 1524 |
+
{
|
| 1525 |
+
"T": 8,
|
| 1526 |
+
"arm": "ftbc",
|
| 1527 |
+
"acc": 0.5135714285714286,
|
| 1528 |
+
"syn_per_inference": 2244092.827922078,
|
| 1529 |
+
"dense_per_inference": 9814016.0,
|
| 1530 |
+
"event_fraction_of_dense": 0.22866203070405405
|
| 1531 |
+
},
|
| 1532 |
+
{
|
| 1533 |
+
"T": 8,
|
| 1534 |
+
"arm": "both",
|
| 1535 |
+
"acc": 0.4642857142857143,
|
| 1536 |
+
"syn_per_inference": 2392016.2751623373,
|
| 1537 |
+
"dense_per_inference": 9814016.0,
|
| 1538 |
+
"event_fraction_of_dense": 0.2437347030168218
|
| 1539 |
+
},
|
| 1540 |
+
{
|
| 1541 |
+
"T": 16,
|
| 1542 |
+
"arm": "raw",
|
| 1543 |
+
"acc": 0.8264285714285714,
|
| 1544 |
+
"syn_per_inference": 2346062.1858766233,
|
| 1545 |
+
"dense_per_inference": 19628032.0,
|
| 1546 |
+
"event_fraction_of_dense": 0.11952610357862792
|
| 1547 |
+
},
|
| 1548 |
+
{
|
| 1549 |
+
"T": 16,
|
| 1550 |
+
"arm": "thresh",
|
| 1551 |
+
"acc": 0.7228571428571429,
|
| 1552 |
+
"syn_per_inference": 2542097.0625,
|
| 1553 |
+
"dense_per_inference": 19628032.0,
|
| 1554 |
+
"event_fraction_of_dense": 0.1295135988416974
|
| 1555 |
+
},
|
| 1556 |
+
{
|
| 1557 |
+
"T": 16,
|
| 1558 |
+
"arm": "ftbc",
|
| 1559 |
+
"acc": 0.7578571428571429,
|
| 1560 |
+
"syn_per_inference": 2610952.6550324676,
|
| 1561 |
+
"dense_per_inference": 19628032.0,
|
| 1562 |
+
"event_fraction_of_dense": 0.13302162208786228
|
| 1563 |
+
},
|
| 1564 |
+
{
|
| 1565 |
+
"T": 16,
|
| 1566 |
+
"arm": "both",
|
| 1567 |
+
"acc": 0.6342857142857142,
|
| 1568 |
+
"syn_per_inference": 2888513.6176948054,
|
| 1569 |
+
"dense_per_inference": 19628032.0,
|
| 1570 |
+
"event_fraction_of_dense": 0.14716267110705777
|
| 1571 |
+
},
|
| 1572 |
+
{
|
| 1573 |
+
"T": 25,
|
| 1574 |
+
"arm": "raw",
|
| 1575 |
+
"acc": 0.89,
|
| 1576 |
+
"syn_per_inference": 2567979.000811688,
|
| 1577 |
+
"dense_per_inference": 30668800.0,
|
| 1578 |
+
"event_fraction_of_dense": 0.08373262080067326
|
| 1579 |
+
},
|
| 1580 |
+
{
|
| 1581 |
+
"T": 25,
|
| 1582 |
+
"arm": "thresh",
|
| 1583 |
+
"acc": 0.8221428571428572,
|
| 1584 |
+
"syn_per_inference": 2890386.8092532465,
|
| 1585 |
+
"dense_per_inference": 30668800.0,
|
| 1586 |
+
"event_fraction_of_dense": 0.09424518759303417
|
| 1587 |
+
},
|
| 1588 |
+
{
|
| 1589 |
+
"T": 25,
|
| 1590 |
+
"arm": "ftbc",
|
| 1591 |
+
"acc": 0.8642857142857143,
|
| 1592 |
+
"syn_per_inference": 2876722.585227273,
|
| 1593 |
+
"dense_per_inference": 30668800.0,
|
| 1594 |
+
"event_fraction_of_dense": 0.09379964606464136
|
| 1595 |
+
},
|
| 1596 |
+
{
|
| 1597 |
+
"T": 25,
|
| 1598 |
+
"arm": "both",
|
| 1599 |
+
"acc": 0.7692857142857142,
|
| 1600 |
+
"syn_per_inference": 3290927.121753247,
|
| 1601 |
+
"dense_per_inference": 30668800.0,
|
| 1602 |
+
"event_fraction_of_dense": 0.10730537620491336
|
| 1603 |
+
},
|
| 1604 |
+
{
|
| 1605 |
+
"T": 50,
|
| 1606 |
+
"arm": "raw",
|
| 1607 |
+
"acc": 0.9328571428571428,
|
| 1608 |
+
"syn_per_inference": 2922163.6103896103,
|
| 1609 |
+
"dense_per_inference": 61337600.0,
|
| 1610 |
+
"event_fraction_of_dense": 0.04764065777581142
|
| 1611 |
+
},
|
| 1612 |
+
{
|
| 1613 |
+
"T": 50,
|
| 1614 |
+
"arm": "thresh",
|
| 1615 |
+
"acc": 0.9135714285714286,
|
| 1616 |
+
"syn_per_inference": 3546637.237824675,
|
| 1617 |
+
"dense_per_inference": 61337600.0,
|
| 1618 |
+
"event_fraction_of_dense": 0.05782158476733154
|
| 1619 |
+
},
|
| 1620 |
+
{
|
| 1621 |
+
"T": 50,
|
| 1622 |
+
"arm": "ftbc",
|
| 1623 |
+
"acc": 0.9292857142857143,
|
| 1624 |
+
"syn_per_inference": 3297052.6079545454,
|
| 1625 |
+
"dense_per_inference": 61337600.0,
|
| 1626 |
+
"event_fraction_of_dense": 0.053752553212948424
|
| 1627 |
+
},
|
| 1628 |
+
{
|
| 1629 |
+
"T": 50,
|
| 1630 |
+
"arm": "both",
|
| 1631 |
+
"acc": 0.9007142857142857,
|
| 1632 |
+
"syn_per_inference": 4030732.6136363638,
|
| 1633 |
+
"dense_per_inference": 61337600.0,
|
| 1634 |
+
"event_fraction_of_dense": 0.06571389512527982
|
| 1635 |
+
},
|
| 1636 |
+
{
|
| 1637 |
+
"T": 100,
|
| 1638 |
+
"arm": "raw",
|
| 1639 |
+
"acc": 0.9428571428571428,
|
| 1640 |
+
"syn_per_inference": 3264047.5113636362,
|
| 1641 |
+
"dense_per_inference": 122675200.0,
|
| 1642 |
+
"event_fraction_of_dense": 0.026607232035192413
|
| 1643 |
+
},
|
| 1644 |
+
{
|
| 1645 |
+
"T": 100,
|
| 1646 |
+
"arm": "thresh",
|
| 1647 |
+
"acc": 0.9321428571428572,
|
| 1648 |
+
"syn_per_inference": 4339798.512987013,
|
| 1649 |
+
"dense_per_inference": 122675200.0,
|
| 1650 |
+
"event_fraction_of_dense": 0.03537633126326277
|
| 1651 |
+
},
|
| 1652 |
+
{
|
| 1653 |
+
"T": 100,
|
| 1654 |
+
"arm": "ftbc",
|
| 1655 |
+
"acc": 0.9407142857142857,
|
| 1656 |
+
"syn_per_inference": 3693235.9448051946,
|
| 1657 |
+
"dense_per_inference": 122675200.0,
|
| 1658 |
+
"event_fraction_of_dense": 0.03010580740691839
|
| 1659 |
+
},
|
| 1660 |
+
{
|
| 1661 |
+
"T": 100,
|
| 1662 |
+
"arm": "both",
|
| 1663 |
+
"acc": 0.9292857142857143,
|
| 1664 |
+
"syn_per_inference": 4875421.047077922,
|
| 1665 |
+
"dense_per_inference": 122675200.0,
|
| 1666 |
+
"event_fraction_of_dense": 0.03974251557835587
|
| 1667 |
+
}
|
| 1668 |
+
],
|
| 1669 |
+
"calibration_reference": "same network at full T (NOT a source ANN)"
|
| 1670 |
+
},
|
| 1671 |
+
"config": {
|
| 1672 |
+
"method": "harmonic_matched",
|
| 1673 |
+
"data_root": "/kaggle/working/data",
|
| 1674 |
+
"subjects": "",
|
| 1675 |
+
"blocks": "",
|
| 1676 |
+
"limit": 0,
|
| 1677 |
+
"drop_rest": true,
|
| 1678 |
+
"resplit": "block",
|
| 1679 |
+
"test_blocks": "6",
|
| 1680 |
"class_weight": false,
|
| 1681 |
"epochs": 60,
|
| 1682 |
"batch_size": 64,
|
|
|
|
| 1706 |
"decision_margin": 2.0,
|
| 1707 |
"export": false,
|
| 1708 |
"seed": 1234,
|
| 1709 |
+
"hub_dir": "/kaggle/working/hub/opt03_ftbc_threshold_balance/calib_p95",
|
| 1710 |
"repo_id": "UWU-R-13/SSVEP-SNN",
|
| 1711 |
"push_hf": false,
|
| 1712 |
"keep_epoch_weights": 1,
|
| 1713 |
"no_resume": true,
|
| 1714 |
"selftest": false,
|
| 1715 |
+
"baseline": false,
|
| 1716 |
"bench": true,
|
| 1717 |
"bench_warmup": 10,
|
| 1718 |
"bench_iters": 50,
|
| 1719 |
"bench_train_steps": 20,
|
| 1720 |
"calibrate_thresh": true,
|
| 1721 |
+
"calib_percentile": 95.0,
|
| 1722 |
"calib_batches": 8,
|
| 1723 |
"ftbc": true,
|
| 1724 |
"ftbc_target_ticks": 8,
|
|
|
|
| 1729 |
}
|
| 1730 |
},
|
| 1731 |
"zip": {
|
| 1732 |
+
"name": "calib_p95.zip",
|
| 1733 |
+
"files": 81,
|
| 1734 |
+
"bytes": 12247718,
|
| 1735 |
"MB": 12.2,
|
| 1736 |
+
"sha256": "7bfd3a9ba5be867423a06c63cc3e7652e2784be8ea2ed7f3064997e028337fd1"
|
| 1737 |
}
|
| 1738 |
},
|
| 1739 |
{
|
| 1740 |
+
"key": "opt03_ftbc_threshold_balance/calib_p99",
|
| 1741 |
+
"tag": "calib_p99",
|
| 1742 |
"script": "opt03_ftbc_threshold_balance.py",
|
| 1743 |
"hf_folder": "applied/opt03_ftbc_threshold_balance",
|
| 1744 |
+
"phase": 3,
|
| 1745 |
"status": "ok",
|
| 1746 |
+
"duration_s": 377.6,
|
| 1747 |
"optimization_summary": {
|
| 1748 |
"optimization": "ftbc_threshold_balance",
|
| 1749 |
"research_section": "2. Temporal-Dimension Reduction (threshold balancing + FTBC)",
|
|
|
|
| 1752 |
"baseline_mode": false,
|
| 1753 |
"method": "harmonic_matched",
|
| 1754 |
"accuracy": {
|
| 1755 |
+
"test_acc": 0.9328571428571428,
|
| 1756 |
+
"test_target_acc": 0.9328571428571428,
|
| 1757 |
"best_val_acc": 0.945
|
| 1758 |
},
|
| 1759 |
"efficiency": {
|
| 1760 |
"spikes_per_inference": null,
|
| 1761 |
+
"syn_ops_per_inference": 3284640.788149351,
|
| 1762 |
"dense_macs_per_inference": 122675200.0,
|
| 1763 |
+
"event_fraction_of_dense": 0.026775100331194495,
|
| 1764 |
+
"syn_ops_per_inference_dense_fanout": 64861258.57467532,
|
| 1765 |
"weight_sparsity": 0.7324707846410685,
|
| 1766 |
+
"effective_ticks": 12.331428571428571,
|
| 1767 |
"num_ticks": 100,
|
| 1768 |
"membrane_bytes_per_inference": 451200,
|
| 1769 |
"weight_bytes": 4907008,
|
| 1770 |
"input_raster_bytes": null,
|
| 1771 |
+
"train_ms_per_step": 98.5430900999745,
|
| 1772 |
+
"infer_ms_per_sample": 0.6449701993750523,
|
| 1773 |
+
"peak_vram_mb": 2828.248576
|
| 1774 |
},
|
| 1775 |
"optimization_specific": {
|
| 1776 |
"calibrate_thresh": true,
|
| 1777 |
"ftbc": true,
|
| 1778 |
+
"calib_percentile": 99.0,
|
| 1779 |
"calib_batches": 8,
|
| 1780 |
"ftbc_target_ticks": 8,
|
| 1781 |
"ftbc_ref_ticks": 100,
|
|
|
|
| 1787 |
1.0
|
| 1788 |
],
|
| 1789 |
"thresh_after": [
|
| 1790 |
+
1.1893720626831055,
|
| 1791 |
+
0.6524527072906494,
|
| 1792 |
+
0.9638769626617432,
|
| 1793 |
+
2.4433438777923584
|
| 1794 |
],
|
| 1795 |
"min_ticks_within_1pct_of_full": null,
|
| 1796 |
"min_ticks_within_1pct_per_arm": {
|
| 1797 |
+
"raw": 100,
|
| 1798 |
+
"thresh": null,
|
| 1799 |
"ftbc": 100,
|
| 1800 |
"both": null
|
| 1801 |
},
|
| 1802 |
"speedup_at_min_ticks": null,
|
| 1803 |
+
"full_T_acc": 0.9464285714285714,
|
| 1804 |
"t_sweep_rows": [
|
| 1805 |
{
|
| 1806 |
"T": 4,
|
| 1807 |
"arm": "raw",
|
| 1808 |
+
"acc": 0.3157142857142857,
|
| 1809 |
+
"syn_per_inference": 1878827.9334415584,
|
| 1810 |
"dense_per_inference": 4907008.0,
|
| 1811 |
+
"event_fraction_of_dense": 0.38288666605833094
|
| 1812 |
},
|
| 1813 |
{
|
| 1814 |
"T": 4,
|
| 1815 |
"arm": "thresh",
|
| 1816 |
+
"acc": 0.3742857142857143,
|
| 1817 |
+
"syn_per_inference": 1883321.543831169,
|
| 1818 |
"dense_per_inference": 4907008.0,
|
| 1819 |
+
"event_fraction_of_dense": 0.38380241968856965
|
| 1820 |
},
|
| 1821 |
{
|
| 1822 |
"T": 4,
|
| 1823 |
"arm": "ftbc",
|
| 1824 |
+
"acc": 0.21071428571428572,
|
| 1825 |
+
"syn_per_inference": 1981124.6103896103,
|
| 1826 |
"dense_per_inference": 4907008.0,
|
| 1827 |
+
"event_fraction_of_dense": 0.4037337233584315
|
| 1828 |
},
|
| 1829 |
{
|
| 1830 |
"T": 4,
|
| 1831 |
"arm": "both",
|
| 1832 |
+
"acc": 0.25,
|
| 1833 |
+
"syn_per_inference": 2006390.69237013,
|
| 1834 |
"dense_per_inference": 4907008.0,
|
| 1835 |
+
"event_fraction_of_dense": 0.40888270252873643
|
| 1836 |
},
|
| 1837 |
{
|
| 1838 |
"T": 8,
|
| 1839 |
"arm": "raw",
|
| 1840 |
+
"acc": 0.6171428571428571,
|
| 1841 |
+
"syn_per_inference": 2065125.0535714284,
|
| 1842 |
"dense_per_inference": 9814016.0,
|
| 1843 |
+
"event_fraction_of_dense": 0.21042609402424334
|
| 1844 |
},
|
| 1845 |
{
|
| 1846 |
"T": 8,
|
| 1847 |
"arm": "thresh",
|
| 1848 |
+
"acc": 0.64,
|
| 1849 |
+
"syn_per_inference": 2068805.8603896103,
|
| 1850 |
"dense_per_inference": 9814016.0,
|
| 1851 |
+
"event_fraction_of_dense": 0.2108011501499091
|
| 1852 |
},
|
| 1853 |
{
|
| 1854 |
"T": 8,
|
| 1855 |
"arm": "ftbc",
|
| 1856 |
+
"acc": 0.38785714285714284,
|
| 1857 |
+
"syn_per_inference": 2372934.5551948054,
|
| 1858 |
"dense_per_inference": 9814016.0,
|
| 1859 |
+
"event_fraction_of_dense": 0.24179036952811217
|
| 1860 |
},
|
| 1861 |
{
|
| 1862 |
"T": 8,
|
| 1863 |
"arm": "both",
|
| 1864 |
+
"acc": 0.4235714285714286,
|
| 1865 |
+
"syn_per_inference": 2420752.936688312,
|
| 1866 |
"dense_per_inference": 9814016.0,
|
| 1867 |
+
"event_fraction_of_dense": 0.2466628276016986
|
| 1868 |
},
|
| 1869 |
{
|
| 1870 |
"T": 16,
|
| 1871 |
"arm": "raw",
|
| 1872 |
+
"acc": 0.8157142857142857,
|
| 1873 |
+
"syn_per_inference": 2361965.2678571427,
|
| 1874 |
"dense_per_inference": 19628032.0,
|
| 1875 |
+
"event_fraction_of_dense": 0.12033632652815844
|
| 1876 |
},
|
| 1877 |
{
|
| 1878 |
"T": 16,
|
| 1879 |
"arm": "thresh",
|
| 1880 |
+
"acc": 0.8385714285714285,
|
| 1881 |
+
"syn_per_inference": 2359900.8782467535,
|
| 1882 |
"dense_per_inference": 19628032.0,
|
| 1883 |
+
"event_fraction_of_dense": 0.1202311509501693
|
| 1884 |
},
|
| 1885 |
{
|
| 1886 |
"T": 16,
|
| 1887 |
"arm": "ftbc",
|
| 1888 |
+
"acc": 0.6078571428571429,
|
| 1889 |
+
"syn_per_inference": 2799702.0219155843,
|
| 1890 |
"dense_per_inference": 19628032.0,
|
| 1891 |
+
"event_fraction_of_dense": 0.14263793853176845
|
| 1892 |
},
|
| 1893 |
{
|
| 1894 |
"T": 16,
|
| 1895 |
"arm": "both",
|
| 1896 |
+
"acc": 0.6185714285714285,
|
| 1897 |
+
"syn_per_inference": 2833707.82224026,
|
| 1898 |
"dense_per_inference": 19628032.0,
|
| 1899 |
+
"event_fraction_of_dense": 0.1443704504985655
|
| 1900 |
},
|
| 1901 |
{
|
| 1902 |
"T": 25,
|
| 1903 |
"arm": "raw",
|
| 1904 |
+
"acc": 0.8892857142857142,
|
| 1905 |
+
"syn_per_inference": 2587462.3092532465,
|
| 1906 |
"dense_per_inference": 30668800.0,
|
| 1907 |
+
"event_fraction_of_dense": 0.08436790188247491
|
| 1908 |
},
|
| 1909 |
{
|
| 1910 |
"T": 25,
|
| 1911 |
"arm": "thresh",
|
| 1912 |
+
"acc": 0.8978571428571429,
|
| 1913 |
+
"syn_per_inference": 2580447.637987013,
|
| 1914 |
"dense_per_inference": 30668800.0,
|
| 1915 |
+
"event_fraction_of_dense": 0.08413917851324515
|
| 1916 |
},
|
| 1917 |
{
|
| 1918 |
"T": 25,
|
| 1919 |
"arm": "ftbc",
|
| 1920 |
+
"acc": 0.7892857142857143,
|
| 1921 |
+
"syn_per_inference": 3096516.7978896108,
|
| 1922 |
"dense_per_inference": 30668800.0,
|
| 1923 |
+
"event_fraction_of_dense": 0.10096635009813265
|
| 1924 |
},
|
| 1925 |
{
|
| 1926 |
"T": 25,
|
| 1927 |
"arm": "both",
|
| 1928 |
+
"acc": 0.7935714285714286,
|
| 1929 |
+
"syn_per_inference": 3116778.5568181816,
|
| 1930 |
"dense_per_inference": 30668800.0,
|
| 1931 |
+
"event_fraction_of_dense": 0.10162701366920719
|
| 1932 |
},
|
| 1933 |
{
|
| 1934 |
"T": 50,
|
| 1935 |
"arm": "raw",
|
| 1936 |
+
"acc": 0.9357142857142857,
|
| 1937 |
+
"syn_per_inference": 2946150.8920454546,
|
| 1938 |
"dense_per_inference": 61337600.0,
|
| 1939 |
+
"event_fraction_of_dense": 0.04803172755447645
|
| 1940 |
},
|
| 1941 |
{
|
| 1942 |
"T": 50,
|
| 1943 |
"arm": "thresh",
|
| 1944 |
+
"acc": 0.93,
|
| 1945 |
+
"syn_per_inference": 2946987.3668831172,
|
| 1946 |
"dense_per_inference": 61337600.0,
|
| 1947 |
+
"event_fraction_of_dense": 0.04804536478250074
|
| 1948 |
},
|
| 1949 |
{
|
| 1950 |
"T": 50,
|
| 1951 |
"arm": "ftbc",
|
| 1952 |
+
"acc": 0.9192857142857143,
|
| 1953 |
+
"syn_per_inference": 3551675.100649351,
|
| 1954 |
"dense_per_inference": 61337600.0,
|
| 1955 |
+
"event_fraction_of_dense": 0.057903718121500525
|
| 1956 |
},
|
| 1957 |
{
|
| 1958 |
"T": 50,
|
| 1959 |
"arm": "both",
|
| 1960 |
+
"acc": 0.9192857142857143,
|
| 1961 |
+
"syn_per_inference": 3567119.5762987016,
|
| 1962 |
"dense_per_inference": 61337600.0,
|
| 1963 |
+
"event_fraction_of_dense": 0.058155512708333905
|
| 1964 |
},
|
| 1965 |
{
|
| 1966 |
"T": 100,
|
| 1967 |
"arm": "raw",
|
| 1968 |
+
"acc": 0.9464285714285714,
|
| 1969 |
+
"syn_per_inference": 3284640.9301948054,
|
| 1970 |
"dense_per_inference": 122675200.0,
|
| 1971 |
+
"event_fraction_of_dense": 0.026775101489093196
|
| 1972 |
},
|
| 1973 |
{
|
| 1974 |
"T": 100,
|
| 1975 |
"arm": "thresh",
|
| 1976 |
+
"acc": 0.9328571428571428,
|
| 1977 |
+
"syn_per_inference": 3333643.5,
|
| 1978 |
"dense_per_inference": 122675200.0,
|
| 1979 |
+
"event_fraction_of_dense": 0.02717455117252713
|
| 1980 |
},
|
| 1981 |
{
|
| 1982 |
"T": 100,
|
| 1983 |
"arm": "ftbc",
|
| 1984 |
+
"acc": 0.945,
|
| 1985 |
+
"syn_per_inference": 3961718.6420454546,
|
| 1986 |
"dense_per_inference": 122675200.0,
|
| 1987 |
+
"event_fraction_of_dense": 0.03229437279943668
|
| 1988 |
},
|
| 1989 |
{
|
| 1990 |
"T": 100,
|
| 1991 |
"arm": "both",
|
| 1992 |
+
"acc": 0.9328571428571428,
|
| 1993 |
+
"syn_per_inference": 4013997.268668831,
|
| 1994 |
"dense_per_inference": 122675200.0,
|
| 1995 |
+
"event_fraction_of_dense": 0.032720527610053465
|
| 1996 |
}
|
| 1997 |
],
|
| 1998 |
"calibration_reference": "same network at full T (NOT a source ANN)"
|
|
|
|
| 2035 |
"decision_margin": 2.0,
|
| 2036 |
"export": false,
|
| 2037 |
"seed": 1234,
|
| 2038 |
+
"hub_dir": "/kaggle/working/hub/opt03_ftbc_threshold_balance/calib_p99",
|
| 2039 |
"repo_id": "UWU-R-13/SSVEP-SNN",
|
| 2040 |
"push_hf": false,
|
| 2041 |
"keep_epoch_weights": 1,
|
|
|
|
| 2047 |
"bench_iters": 50,
|
| 2048 |
"bench_train_steps": 20,
|
| 2049 |
"calibrate_thresh": true,
|
| 2050 |
+
"calib_percentile": 99.0,
|
| 2051 |
"calib_batches": 8,
|
| 2052 |
"ftbc": true,
|
| 2053 |
"ftbc_target_ticks": 8,
|
|
|
|
| 2058 |
}
|
| 2059 |
},
|
| 2060 |
"zip": {
|
| 2061 |
+
"name": "calib_p99.zip",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2062 |
"files": 81,
|
| 2063 |
+
"bytes": 12249418,
|
| 2064 |
+
"MB": 12.2,
|
| 2065 |
+
"sha256": "97afd31f1cc8ac24332af9c09efb238f37fc46365dc5d669f42dda2ecb138d3b"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2066 |
}
|
| 2067 |
}
|
| 2068 |
]
|