p-j-r-1-2-3 commited on
Commit
91aee2c
·
verified ·
1 Parent(s): db2835d

update APPLIED run index

Browse files
Files changed (1) hide show
  1. applied/_index/APPLIED_RUNS_INDEX.json +799 -239
applied/_index/APPLIED_RUNS_INDEX.json CHANGED
@@ -1073,131 +1073,536 @@
1073
  }
1074
  },
1075
  {
1076
- "key": "opt02_seenn_bayes/conf_temp_4",
1077
- "tag": "conf_temp_4",
1078
- "script": "opt02_seenn_bayes.py",
1079
- "hf_folder": "applied/opt02_seenn_bayes",
1080
- "phase": 7,
1081
  "status": "ok",
1082
- "duration_s": 616.4,
1083
  "optimization_summary": {
1084
- "optimization": "seenn_early_exit_bayesian_fusion",
1085
- "research_section": "2. Temporal-dimension reduction",
1086
- "reference": "SEENN: Towards Temporal Spiking Early-Exit Neural Networks, arXiv:2304.01230 (NeurIPS 2023); BayesianSpikeFusion, Front. Neurosci. 2024 (PMC11330889)",
1087
- "script": "opt02_seenn_bayes.py",
1088
  "baseline_mode": false,
1089
  "method": "harmonic_matched",
1090
  "accuracy": {
1091
- "test_acc": 0.9278571428571428,
1092
- "test_target_acc": 0.9278571428571428,
1093
- "best_val_acc": 0.9264285714285714
1094
  },
1095
  "efficiency": {
1096
  "spikes_per_inference": null,
1097
- "syn_ops_per_inference": 3638325.674512987,
1098
- "dense_macs_per_inference": 123955200.0,
1099
- "event_fraction_of_dense": 0.029351940656890448,
1100
- "syn_ops_per_inference_dense_fanout": 65214943.461038955,
1101
- "weight_sparsity": 0.7324707846410685,
1102
- "effective_ticks": 4.575714285714286,
1103
  "num_ticks": 100,
1104
  "membrane_bytes_per_inference": 451200,
1105
  "weight_bytes": 4907008,
1106
  "input_raster_bytes": null,
1107
- "train_ms_per_step": 187.23959922790527,
1108
- "infer_ms_per_sample": 0.6532642859310361,
1109
- "peak_vram_mb": 10914.677248,
1110
- "syn_ops_per_inference_early_exit": 1640777.8961038962
1111
  },
1112
  "optimization_specific": {
1113
- "seenn_enabled": true,
1114
- "bayes_fusion_enabled": true,
1115
- "conf_threshold": 0.9,
1116
- "conf_temp": 4.0,
1117
- "anytime_fracs": "0.25,0.5,1.0",
1118
- "anytime_weights": "0.3,0.3,1.0",
1119
- "ic_loss_weight": 0.3,
1120
- "ic_layer": 0,
1121
- "mean_exit_tick": 4.575714285714286,
1122
- "mean_exit_ms": 228.78571428571428,
1123
- "ticks_saved_frac": 0.9542428571428572,
1124
- "exit_tick_histogram": {
1125
- "counts": [
1126
- 1339,
1127
- 54,
1128
- 5,
1129
- 2,
1130
- 0,
1131
- 0,
1132
- 0,
1133
- 0,
1134
- 0,
1135
- 0
1136
- ],
1137
- "edges": [
1138
- 0.0,
1139
- 10.0,
1140
- 20.0,
1141
- 30.0,
1142
- 40.0,
1143
- 50.0,
1144
- 60.0,
1145
- 70.0,
1146
- 80.0,
1147
- 90.0,
1148
- 100.0
1149
- ]
1150
- },
1151
- "acc_fc_only": 0.9278571428571428,
1152
- "acc_ic_only": 0.9364285714285714,
1153
- "acc_fused": 0.935,
1154
- "acc_early_exit": 0.25214285714285717,
1155
- "syn_ops_saved_frac": 0.5490294044874021,
1156
- "syn_per_inference_early_exit": 1640777.8961038962,
1157
- "anytime_acc": {
1158
- "0.25": 0.62,
1159
- "0.5": 0.8178571428571428,
1160
- "0.75": 0.8885714285714286,
1161
- "1.0": 0.9278571428571428
1162
  },
1163
- "pareto": [
1164
- {
1165
- "conf": 0.5,
1166
- "mean_ticks": 3.902142857142857,
1167
- "acc": 0.22357142857142856,
1168
- "syn_ops": 1613080.9172077922
 
 
 
1169
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1170
  {
1171
- "conf": 0.7,
1172
- "mean_ticks": 4.2371428571428575,
1173
- "acc": 0.23857142857142857,
1174
- "syn_ops": 1626802.577922078
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1175
  },
1176
  {
1177
- "conf": 0.8,
1178
- "mean_ticks": 4.365,
1179
- "acc": 0.245,
1180
- "syn_ops": 1632438.9545454546
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1181
  },
1182
  {
1183
- "conf": 0.9,
1184
- "mean_ticks": 4.575714285714286,
1185
- "acc": 0.25214285714285717,
1186
- "syn_ops": 1640777.924512987
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1187
  },
1188
  {
1189
- "conf": 0.95,
1190
- "mean_ticks": 4.854285714285714,
1191
- "acc": 0.26071428571428573,
1192
- "syn_ops": 1651982.8961038962
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1193
  },
1194
  {
1195
- "conf": 0.99,
1196
- "mean_ticks": 6.857857142857143,
1197
- "acc": 0.3357142857142857,
1198
- "syn_ops": 1728711.8571428573
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1199
  }
1200
- ]
 
 
1201
  },
1202
  "config": {
1203
  "method": "harmonic_matched",
@@ -1237,163 +1642,321 @@
1237
  "decision_margin": 2.0,
1238
  "export": false,
1239
  "seed": 1234,
1240
- "baseline": false,
1241
- "bench": true,
1242
- "bench_warmup": 10,
1243
- "bench_iters": 50,
1244
- "bench_train_steps": 20,
1245
- "anytime_fracs": "0.25,0.5,1.0",
1246
- "anytime_weights": "0.3,0.3,1.0",
1247
- "ic_layer": 0,
1248
- "ic_loss_weight": 0.3,
1249
- "bayes_fusion": true,
1250
- "fusion_prior_weight": 1.0,
1251
- "conf_threshold": 0.9,
1252
- "conf_temp": 4.0,
1253
- "conf_sweep": "0.5,0.7,0.8,0.9,0.95,0.99",
1254
- "hub_dir": "/kaggle/working/hub/opt02_seenn_bayes/conf_temp_4",
1255
  "repo_id": "UWU-R-13/SSVEP-SNN",
1256
  "push_hf": false,
1257
  "keep_epoch_weights": 1,
1258
  "no_resume": true,
1259
  "selftest": false,
 
 
 
 
 
 
 
 
 
 
 
1260
  "sampling_rate": 250.0
1261
  }
1262
  },
1263
  "zip": {
1264
- "name": "conf_temp_4.zip",
1265
  "files": 81,
1266
- "bytes": 12640717,
1267
- "MB": 12.6,
1268
- "sha256": "a9f16ef1db8ee6c4c51113bece56694dc7dd17feb4b73d57c99a3dad1b66ca71"
1269
  }
1270
  },
1271
  {
1272
- "key": "opt02_seenn_bayes/fusion_prior_2x",
1273
- "tag": "fusion_prior_2x",
1274
- "script": "opt02_seenn_bayes.py",
1275
- "hf_folder": "applied/opt02_seenn_bayes",
1276
- "phase": 7,
1277
  "status": "ok",
1278
- "duration_s": 609.0,
1279
  "optimization_summary": {
1280
- "optimization": "seenn_early_exit_bayesian_fusion",
1281
- "research_section": "2. Temporal-dimension reduction",
1282
- "reference": "SEENN: Towards Temporal Spiking Early-Exit Neural Networks, arXiv:2304.01230 (NeurIPS 2023); BayesianSpikeFusion, Front. Neurosci. 2024 (PMC11330889)",
1283
- "script": "opt02_seenn_bayes.py",
1284
  "baseline_mode": false,
1285
  "method": "harmonic_matched",
1286
  "accuracy": {
1287
- "test_acc": 0.9271428571428572,
1288
- "test_target_acc": 0.9271428571428572,
1289
- "best_val_acc": 0.9307142857142857
1290
  },
1291
  "efficiency": {
1292
  "spikes_per_inference": null,
1293
- "syn_ops_per_inference": 3657479.1964285714,
1294
- "dense_macs_per_inference": 123955200.0,
1295
- "event_fraction_of_dense": 0.02950646036978337,
1296
- "syn_ops_per_inference_dense_fanout": 65234096.98295455,
1297
- "weight_sparsity": 0.7324707846410685,
1298
- "effective_ticks": 7.784285714285715,
1299
  "num_ticks": 100,
1300
  "membrane_bytes_per_inference": 451200,
1301
  "weight_bytes": 4907008,
1302
  "input_raster_bytes": null,
1303
- "train_ms_per_step": 185.8240008354187,
1304
- "infer_ms_per_sample": 0.6510175053198733,
1305
- "peak_vram_mb": 10914.386944,
1306
- "syn_ops_per_inference_early_exit": 1785947.325487013
1307
  },
1308
  "optimization_specific": {
1309
- "seenn_enabled": true,
1310
- "bayes_fusion_enabled": true,
1311
- "conf_threshold": 0.9,
1312
- "conf_temp": 2.0,
1313
- "anytime_fracs": "0.25,0.5,1.0",
1314
- "anytime_weights": "0.3,0.3,1.0",
1315
- "ic_loss_weight": 0.3,
1316
- "ic_layer": 0,
1317
- "mean_exit_tick": 7.784285714285715,
1318
- "mean_exit_ms": 389.2142857142857,
1319
- "ticks_saved_frac": 0.9221571428571429,
1320
- "exit_tick_histogram": {
1321
- "counts": [
1322
- 1048,
1323
- 306,
1324
- 34,
1325
- 11,
1326
- 1,
1327
- 0,
1328
- 0,
1329
- 0,
1330
- 0,
1331
- 0
1332
- ],
1333
- "edges": [
1334
- 0.0,
1335
- 10.0,
1336
- 20.0,
1337
- 30.0,
1338
- 40.0,
1339
- 50.0,
1340
- 60.0,
1341
- 70.0,
1342
- 80.0,
1343
- 90.0,
1344
- 100.0
1345
- ]
1346
  },
1347
- "acc_fc_only": 0.9271428571428572,
1348
- "acc_ic_only": 0.9357142857142857,
1349
- "acc_fused": 0.9357142857142857,
1350
- "acc_early_exit": 0.37714285714285717,
1351
- "syn_ops_saved_frac": 0.5116999360567951,
1352
- "syn_per_inference_early_exit": 1785947.325487013,
1353
- "anytime_acc": {
1354
- "0.25": 0.6264285714285714,
1355
- "0.5": 0.8178571428571428,
1356
- "0.75": 0.8921428571428571,
1357
- "1.0": 0.9271428571428572
1358
- },
1359
- "pareto": [
1360
- {
1361
- "conf": 0.5,
1362
- "mean_ticks": 4.289285714285715,
1363
- "acc": 0.24571428571428572,
1364
- "syn_ops": 1647281.4212662338
1365
- },
1366
- {
1367
- "conf": 0.7,
1368
- "mean_ticks": 4.978571428571429,
1369
- "acc": 0.275,
1370
- "syn_ops": 1678001.2727272727
1371
  },
1372
- {
1373
- "conf": 0.8,
1374
- "mean_ticks": 5.852857142857143,
1375
- "acc": 0.3028571428571429,
1376
- "syn_ops": 1714795.320616883
 
 
 
1377
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1378
  {
1379
- "conf": 0.9,
1380
- "mean_ticks": 7.785,
1381
- "acc": 0.37714285714285717,
1382
- "syn_ops": 1785960.5300324673
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1383
  },
1384
  {
1385
- "conf": 0.95,
1386
- "mean_ticks": 10.002142857142857,
1387
- "acc": 0.45071428571428573,
1388
- "syn_ops": 1850843.49512987
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1389
  },
1390
  {
1391
- "conf": 0.99,
1392
- "mean_ticks": 14.499285714285714,
1393
- "acc": 0.5742857142857143,
1394
- "syn_ops": 1959679.1558441557
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1395
  }
1396
- ]
 
 
1397
  },
1398
  "config": {
1399
  "method": "harmonic_matched",
@@ -1433,35 +1996,32 @@
1433
  "decision_margin": 2.0,
1434
  "export": false,
1435
  "seed": 1234,
1436
- "baseline": false,
1437
- "bench": true,
1438
- "bench_warmup": 10,
1439
- "bench_iters": 50,
1440
- "bench_train_steps": 20,
1441
- "anytime_fracs": "0.25,0.5,1.0",
1442
- "anytime_weights": "0.3,0.3,1.0",
1443
- "ic_layer": 0,
1444
- "ic_loss_weight": 0.3,
1445
- "bayes_fusion": true,
1446
- "fusion_prior_weight": 2.0,
1447
- "conf_threshold": 0.9,
1448
- "conf_temp": 2.0,
1449
- "conf_sweep": "0.5,0.7,0.8,0.9,0.95,0.99",
1450
- "hub_dir": "/kaggle/working/hub/opt02_seenn_bayes/fusion_prior_2x",
1451
  "repo_id": "UWU-R-13/SSVEP-SNN",
1452
  "push_hf": false,
1453
  "keep_epoch_weights": 1,
1454
  "no_resume": true,
1455
  "selftest": false,
 
 
 
 
 
 
 
 
 
 
 
1456
  "sampling_rate": 250.0
1457
  }
1458
  },
1459
  "zip": {
1460
- "name": "fusion_prior_2x.zip",
1461
  "files": 81,
1462
- "bytes": 12637636,
1463
- "MB": 12.6,
1464
- "sha256": "fc6050fb762f5c1e2b45dd261c259362087f7598c1df1884b7b7b97c019e13f4"
1465
  }
1466
  }
1467
  ]
 
1073
  }
1074
  },
1075
  {
1076
+ "key": "opt06_uticket_prune/prune_readout",
1077
+ "tag": "prune_readout",
1078
+ "script": "opt06_uticket_prune.py",
1079
+ "hf_folder": "applied/opt06_uticket_prune",
1080
+ "phase": 9,
1081
  "status": "ok",
1082
+ "duration_s": 582.6,
1083
  "optimization_summary": {
1084
+ "optimization": "uticket_workload_balanced_pruning",
1085
+ "research_section": "3. Spike sparsity & MAC->AC restructuring",
1086
+ "reference": "u-Ticket: Workload-Balanced Pruning for Sparse SNNs, arXiv:2302.06746",
1087
+ "script": "opt06_uticket_prune.py",
1088
  "baseline_mode": false,
1089
  "method": "harmonic_matched",
1090
  "accuracy": {
1091
+ "test_acc": 0.4135714285714286,
1092
+ "test_target_acc": 0.4135714285714286,
1093
+ "best_val_acc": 0.9335714285714286
1094
  },
1095
  "efficiency": {
1096
  "spikes_per_inference": null,
1097
+ "syn_ops_per_inference": 104257.90097402596,
1098
+ "dense_macs_per_inference": 122675200.0,
1099
+ "event_fraction_of_dense": 0.0008498694191982239,
1100
+ "syn_ops_per_inference_dense_fanout": 65062433.861201294,
1101
+ "weight_sparsity": 0.9917057400354758,
1102
+ "effective_ticks": 11.177142857142858,
1103
  "num_ticks": 100,
1104
  "membrane_bytes_per_inference": 451200,
1105
  "weight_bytes": 4907008,
1106
  "input_raster_bytes": null,
1107
+ "train_ms_per_step": 94.6925303999933,
1108
+ "infer_ms_per_sample": 0.6165744149999597,
1109
+ "peak_vram_mb": 2836.776448,
1110
+ "weight_bytes_nonzero": 40703
1111
  },
1112
  "optimization_specific": {
1113
+ "pruning_enabled": true,
1114
+ "balance_enabled": true,
1115
+ "rounds": 5,
1116
+ "final_sparsity": 0.9917049248747913,
1117
+ "nnz_per_layer": {
1118
+ "layer0": 640,
1119
+ "layer1": 5120,
1120
+ "layer2": 4096,
1121
+ "readout": 320
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1122
  },
1123
+ "pe_stats_per_layer": {
1124
+ "layer0": {
1125
+ "mean_nnz": 2.0,
1126
+ "max_nnz": 2.0,
1127
+ "min_nnz": 2.0,
1128
+ "total_nnz": 640,
1129
+ "numel": 921600,
1130
+ "sparsity": 0.9993055555555556,
1131
+ "utilization": 1.0
1132
  },
1133
+ "layer1": {
1134
+ "mean_nnz": 10.0,
1135
+ "max_nnz": 10.0,
1136
+ "min_nnz": 10.0,
1137
+ "total_nnz": 5120,
1138
+ "numel": 163840,
1139
+ "sparsity": 0.96875,
1140
+ "utilization": 1.0
1141
+ },
1142
+ "layer2": {
1143
+ "mean_nnz": 16.0,
1144
+ "max_nnz": 16.0,
1145
+ "min_nnz": 16.0,
1146
+ "total_nnz": 4096,
1147
+ "numel": 131072,
1148
+ "sparsity": 0.96875,
1149
+ "utilization": 1.0
1150
+ },
1151
+ "readout": {
1152
+ "mean_nnz": 8.0,
1153
+ "max_nnz": 8.0,
1154
+ "min_nnz": 8.0,
1155
+ "total_nnz": 320,
1156
+ "numel": 10240,
1157
+ "sparsity": 0.96875,
1158
+ "utilization": 1.0
1159
+ }
1160
+ },
1161
+ "pe_utilization_final": 1.0,
1162
+ "pe_utilization_lth": 0.5667460317460318,
1163
+ "pe_utilization_uticket": 1.0,
1164
+ "latency_proxy_dense": 3968,
1165
+ "latency_proxy_final": 36,
1166
+ "latency_reduction_frac": 0.9909274193548387,
1167
+ "rounds_history": [
1168
  {
1169
+ "round": 1,
1170
+ "layers": {
1171
+ "layer0": {
1172
+ "lth": {
1173
+ "mean_nnz": 36.0,
1174
+ "max_nnz": 47.0,
1175
+ "min_nnz": 25.0,
1176
+ "total_nnz": 11520,
1177
+ "numel": 921600,
1178
+ "sparsity": 0.9875,
1179
+ "utilization": 0.7659574468085106
1180
+ },
1181
+ "uticket": {
1182
+ "mean_nnz": 36.0,
1183
+ "max_nnz": 36.0,
1184
+ "min_nnz": 36.0,
1185
+ "total_nnz": 11520,
1186
+ "numel": 921600,
1187
+ "sparsity": 0.9875,
1188
+ "utilization": 1.0
1189
+ }
1190
+ },
1191
+ "layer1": {
1192
+ "lth": {
1193
+ "mean_nnz": 160.0,
1194
+ "max_nnz": 180.0,
1195
+ "min_nnz": 123.0,
1196
+ "total_nnz": 81920,
1197
+ "numel": 163840,
1198
+ "sparsity": 0.5,
1199
+ "utilization": 0.8888888888888888
1200
+ },
1201
+ "uticket": {
1202
+ "mean_nnz": 160.0,
1203
+ "max_nnz": 160.0,
1204
+ "min_nnz": 160.0,
1205
+ "total_nnz": 81920,
1206
+ "numel": 163840,
1207
+ "sparsity": 0.5,
1208
+ "utilization": 1.0
1209
+ }
1210
+ },
1211
+ "layer2": {
1212
+ "lth": {
1213
+ "mean_nnz": 256.0,
1214
+ "max_nnz": 288.0,
1215
+ "min_nnz": 210.0,
1216
+ "total_nnz": 65536,
1217
+ "numel": 131072,
1218
+ "sparsity": 0.5,
1219
+ "utilization": 0.8888888888888888
1220
+ },
1221
+ "uticket": {
1222
+ "mean_nnz": 256.0,
1223
+ "max_nnz": 256.0,
1224
+ "min_nnz": 256.0,
1225
+ "total_nnz": 65536,
1226
+ "numel": 131072,
1227
+ "sparsity": 0.5,
1228
+ "utilization": 1.0
1229
+ }
1230
+ },
1231
+ "readout": {
1232
+ "lth": {
1233
+ "mean_nnz": 128.0,
1234
+ "max_nnz": 143.0,
1235
+ "min_nnz": 117.0,
1236
+ "total_nnz": 5120,
1237
+ "numel": 10240,
1238
+ "sparsity": 0.5,
1239
+ "utilization": 0.8951048951048951
1240
+ },
1241
+ "uticket": {
1242
+ "mean_nnz": 128.0,
1243
+ "max_nnz": 128.0,
1244
+ "min_nnz": 128.0,
1245
+ "total_nnz": 5120,
1246
+ "numel": 10240,
1247
+ "sparsity": 0.5,
1248
+ "utilization": 1.0
1249
+ }
1250
+ }
1251
+ },
1252
+ "latency_proxy": 580,
1253
+ "sparsity": 0.8662353923205343
1254
  },
1255
  {
1256
+ "round": 2,
1257
+ "layers": {
1258
+ "layer0": {
1259
+ "lth": {
1260
+ "mean_nnz": 18.0,
1261
+ "max_nnz": 28.0,
1262
+ "min_nnz": 10.0,
1263
+ "total_nnz": 5760,
1264
+ "numel": 921600,
1265
+ "sparsity": 0.99375,
1266
+ "utilization": 0.6428571428571429
1267
+ },
1268
+ "uticket": {
1269
+ "mean_nnz": 18.0,
1270
+ "max_nnz": 18.0,
1271
+ "min_nnz": 18.0,
1272
+ "total_nnz": 5760,
1273
+ "numel": 921600,
1274
+ "sparsity": 0.99375,
1275
+ "utilization": 1.0
1276
+ }
1277
+ },
1278
+ "layer1": {
1279
+ "lth": {
1280
+ "mean_nnz": 80.0,
1281
+ "max_nnz": 104.0,
1282
+ "min_nnz": 33.0,
1283
+ "total_nnz": 40960,
1284
+ "numel": 163840,
1285
+ "sparsity": 0.75,
1286
+ "utilization": 0.7692307692307693
1287
+ },
1288
+ "uticket": {
1289
+ "mean_nnz": 80.0,
1290
+ "max_nnz": 80.0,
1291
+ "min_nnz": 80.0,
1292
+ "total_nnz": 40960,
1293
+ "numel": 163840,
1294
+ "sparsity": 0.75,
1295
+ "utilization": 1.0
1296
+ }
1297
+ },
1298
+ "layer2": {
1299
+ "lth": {
1300
+ "mean_nnz": 128.0,
1301
+ "max_nnz": 161.0,
1302
+ "min_nnz": 93.0,
1303
+ "total_nnz": 32768,
1304
+ "numel": 131072,
1305
+ "sparsity": 0.75,
1306
+ "utilization": 0.7950310559006211
1307
+ },
1308
+ "uticket": {
1309
+ "mean_nnz": 128.0,
1310
+ "max_nnz": 128.0,
1311
+ "min_nnz": 128.0,
1312
+ "total_nnz": 32768,
1313
+ "numel": 131072,
1314
+ "sparsity": 0.75,
1315
+ "utilization": 1.0
1316
+ }
1317
+ },
1318
+ "readout": {
1319
+ "lth": {
1320
+ "mean_nnz": 64.0,
1321
+ "max_nnz": 74.0,
1322
+ "min_nnz": 56.0,
1323
+ "total_nnz": 2560,
1324
+ "numel": 10240,
1325
+ "sparsity": 0.75,
1326
+ "utilization": 0.8648648648648649
1327
+ },
1328
+ "uticket": {
1329
+ "mean_nnz": 64.0,
1330
+ "max_nnz": 64.0,
1331
+ "min_nnz": 64.0,
1332
+ "total_nnz": 2560,
1333
+ "numel": 10240,
1334
+ "sparsity": 0.75,
1335
+ "utilization": 1.0
1336
+ }
1337
+ }
1338
+ },
1339
+ "latency_proxy": 290,
1340
+ "sparsity": 0.9331176961602671
1341
  },
1342
  {
1343
+ "round": 3,
1344
+ "layers": {
1345
+ "layer0": {
1346
+ "lth": {
1347
+ "mean_nnz": 9.0,
1348
+ "max_nnz": 18.0,
1349
+ "min_nnz": 1.0,
1350
+ "total_nnz": 2880,
1351
+ "numel": 921600,
1352
+ "sparsity": 0.996875,
1353
+ "utilization": 0.5
1354
+ },
1355
+ "uticket": {
1356
+ "mean_nnz": 9.0,
1357
+ "max_nnz": 9.0,
1358
+ "min_nnz": 9.0,
1359
+ "total_nnz": 2880,
1360
+ "numel": 921600,
1361
+ "sparsity": 0.996875,
1362
+ "utilization": 1.0
1363
+ }
1364
+ },
1365
+ "layer1": {
1366
+ "lth": {
1367
+ "mean_nnz": 40.0,
1368
+ "max_nnz": 64.0,
1369
+ "min_nnz": 2.0,
1370
+ "total_nnz": 20480,
1371
+ "numel": 163840,
1372
+ "sparsity": 0.875,
1373
+ "utilization": 0.625
1374
+ },
1375
+ "uticket": {
1376
+ "mean_nnz": 40.0,
1377
+ "max_nnz": 40.0,
1378
+ "min_nnz": 40.0,
1379
+ "total_nnz": 20480,
1380
+ "numel": 163840,
1381
+ "sparsity": 0.875,
1382
+ "utilization": 1.0
1383
+ }
1384
+ },
1385
+ "layer2": {
1386
+ "lth": {
1387
+ "mean_nnz": 64.0,
1388
+ "max_nnz": 85.0,
1389
+ "min_nnz": 38.0,
1390
+ "total_nnz": 16384,
1391
+ "numel": 131072,
1392
+ "sparsity": 0.875,
1393
+ "utilization": 0.7529411764705882
1394
+ },
1395
+ "uticket": {
1396
+ "mean_nnz": 64.0,
1397
+ "max_nnz": 64.0,
1398
+ "min_nnz": 64.0,
1399
+ "total_nnz": 16384,
1400
+ "numel": 131072,
1401
+ "sparsity": 0.875,
1402
+ "utilization": 1.0
1403
+ }
1404
+ },
1405
+ "readout": {
1406
+ "lth": {
1407
+ "mean_nnz": 32.0,
1408
+ "max_nnz": 38.0,
1409
+ "min_nnz": 26.0,
1410
+ "total_nnz": 1280,
1411
+ "numel": 10240,
1412
+ "sparsity": 0.875,
1413
+ "utilization": 0.8421052631578947
1414
+ },
1415
+ "uticket": {
1416
+ "mean_nnz": 32.0,
1417
+ "max_nnz": 32.0,
1418
+ "min_nnz": 32.0,
1419
+ "total_nnz": 1280,
1420
+ "numel": 10240,
1421
+ "sparsity": 0.875,
1422
+ "utilization": 1.0
1423
+ }
1424
+ }
1425
+ },
1426
+ "latency_proxy": 145,
1427
+ "sparsity": 0.9665588480801336
1428
  },
1429
  {
1430
+ "round": 4,
1431
+ "layers": {
1432
+ "layer0": {
1433
+ "lth": {
1434
+ "mean_nnz": 4.5,
1435
+ "max_nnz": 9.0,
1436
+ "min_nnz": 0.0,
1437
+ "total_nnz": 1440,
1438
+ "numel": 921600,
1439
+ "sparsity": 0.9984375,
1440
+ "utilization": 0.5
1441
+ },
1442
+ "uticket": {
1443
+ "mean_nnz": 4.0,
1444
+ "max_nnz": 4.0,
1445
+ "min_nnz": 4.0,
1446
+ "total_nnz": 1280,
1447
+ "numel": 921600,
1448
+ "sparsity": 0.9986111111111111,
1449
+ "utilization": 1.0
1450
+ }
1451
+ },
1452
+ "layer1": {
1453
+ "lth": {
1454
+ "mean_nnz": 20.0,
1455
+ "max_nnz": 33.0,
1456
+ "min_nnz": 0.0,
1457
+ "total_nnz": 10240,
1458
+ "numel": 163840,
1459
+ "sparsity": 0.9375,
1460
+ "utilization": 0.6060606060606061
1461
+ },
1462
+ "uticket": {
1463
+ "mean_nnz": 20.0,
1464
+ "max_nnz": 20.0,
1465
+ "min_nnz": 20.0,
1466
+ "total_nnz": 10240,
1467
+ "numel": 163840,
1468
+ "sparsity": 0.9375,
1469
+ "utilization": 1.0
1470
+ }
1471
+ },
1472
+ "layer2": {
1473
+ "lth": {
1474
+ "mean_nnz": 32.0,
1475
+ "max_nnz": 45.0,
1476
+ "min_nnz": 12.0,
1477
+ "total_nnz": 8192,
1478
+ "numel": 131072,
1479
+ "sparsity": 0.9375,
1480
+ "utilization": 0.7111111111111111
1481
+ },
1482
+ "uticket": {
1483
+ "mean_nnz": 32.0,
1484
+ "max_nnz": 32.0,
1485
+ "min_nnz": 32.0,
1486
+ "total_nnz": 8192,
1487
+ "numel": 131072,
1488
+ "sparsity": 0.9375,
1489
+ "utilization": 1.0
1490
+ }
1491
+ },
1492
+ "readout": {
1493
+ "lth": {
1494
+ "mean_nnz": 16.0,
1495
+ "max_nnz": 28.0,
1496
+ "min_nnz": 11.0,
1497
+ "total_nnz": 640,
1498
+ "numel": 10240,
1499
+ "sparsity": 0.9375,
1500
+ "utilization": 0.5714285714285714
1501
+ },
1502
+ "uticket": {
1503
+ "mean_nnz": 16.0,
1504
+ "max_nnz": 16.0,
1505
+ "min_nnz": 16.0,
1506
+ "total_nnz": 640,
1507
+ "numel": 10240,
1508
+ "sparsity": 0.9375,
1509
+ "utilization": 1.0
1510
+ }
1511
+ }
1512
+ },
1513
+ "latency_proxy": 72,
1514
+ "sparsity": 0.9834098497495827
1515
  },
1516
  {
1517
+ "round": 5,
1518
+ "layers": {
1519
+ "layer0": {
1520
+ "lth": {
1521
+ "mean_nnz": 2.0,
1522
+ "max_nnz": 4.0,
1523
+ "min_nnz": 0.0,
1524
+ "total_nnz": 640,
1525
+ "numel": 921600,
1526
+ "sparsity": 0.9993055555555556,
1527
+ "utilization": 0.5
1528
+ },
1529
+ "uticket": {
1530
+ "mean_nnz": 2.0,
1531
+ "max_nnz": 2.0,
1532
+ "min_nnz": 2.0,
1533
+ "total_nnz": 640,
1534
+ "numel": 921600,
1535
+ "sparsity": 0.9993055555555556,
1536
+ "utilization": 1.0
1537
+ }
1538
+ },
1539
+ "layer1": {
1540
+ "lth": {
1541
+ "mean_nnz": 10.0,
1542
+ "max_nnz": 18.0,
1543
+ "min_nnz": 0.0,
1544
+ "total_nnz": 5120,
1545
+ "numel": 163840,
1546
+ "sparsity": 0.96875,
1547
+ "utilization": 0.5555555555555556
1548
+ },
1549
+ "uticket": {
1550
+ "mean_nnz": 10.0,
1551
+ "max_nnz": 10.0,
1552
+ "min_nnz": 10.0,
1553
+ "total_nnz": 5120,
1554
+ "numel": 163840,
1555
+ "sparsity": 0.96875,
1556
+ "utilization": 1.0
1557
+ }
1558
+ },
1559
+ "layer2": {
1560
+ "lth": {
1561
+ "mean_nnz": 16.0,
1562
+ "max_nnz": 25.0,
1563
+ "min_nnz": 0.0,
1564
+ "total_nnz": 4096,
1565
+ "numel": 131072,
1566
+ "sparsity": 0.96875,
1567
+ "utilization": 0.64
1568
+ },
1569
+ "uticket": {
1570
+ "mean_nnz": 16.0,
1571
+ "max_nnz": 16.0,
1572
+ "min_nnz": 16.0,
1573
+ "total_nnz": 4096,
1574
+ "numel": 131072,
1575
+ "sparsity": 0.96875,
1576
+ "utilization": 1.0
1577
+ }
1578
+ },
1579
+ "readout": {
1580
+ "lth": {
1581
+ "mean_nnz": 8.0,
1582
+ "max_nnz": 14.0,
1583
+ "min_nnz": 3.0,
1584
+ "total_nnz": 320,
1585
+ "numel": 10240,
1586
+ "sparsity": 0.96875,
1587
+ "utilization": 0.5714285714285714
1588
+ },
1589
+ "uticket": {
1590
+ "mean_nnz": 8.0,
1591
+ "max_nnz": 8.0,
1592
+ "min_nnz": 8.0,
1593
+ "total_nnz": 320,
1594
+ "numel": 10240,
1595
+ "sparsity": 0.96875,
1596
+ "utilization": 1.0
1597
+ }
1598
+ }
1599
+ },
1600
+ "latency_proxy": 36,
1601
+ "sparsity": 0.9917049248747913
1602
  }
1603
+ ],
1604
+ "latency_proxy_lth": 61,
1605
+ "latency_reduction_vs_lth_frac": 0.4098360655737705
1606
  },
1607
  "config": {
1608
  "method": "harmonic_matched",
 
1642
  "decision_margin": 2.0,
1643
  "export": false,
1644
  "seed": 1234,
1645
+ "hub_dir": "/kaggle/working/hub/opt06_uticket_prune/prune_readout",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1646
  "repo_id": "UWU-R-13/SSVEP-SNN",
1647
  "push_hf": false,
1648
  "keep_epoch_weights": 1,
1649
  "no_resume": true,
1650
  "selftest": false,
1651
+ "baseline": false,
1652
+ "bench": true,
1653
+ "bench_warmup": 10,
1654
+ "bench_iters": 50,
1655
+ "bench_train_steps": 20,
1656
+ "prune_rounds": 5,
1657
+ "prune_rate": 0.5,
1658
+ "rewind_epoch": 1,
1659
+ "balance": true,
1660
+ "balance_iters": 2,
1661
+ "prune_readout": true,
1662
  "sampling_rate": 250.0
1663
  }
1664
  },
1665
  "zip": {
1666
+ "name": "prune_readout.zip",
1667
  "files": 81,
1668
+ "bytes": 8103773,
1669
+ "MB": 8.1,
1670
+ "sha256": "71a4d931df327896a7f5538c47ae56a8c6d2a773250c37ea42d325f453d2355a"
1671
  }
1672
  },
1673
  {
1674
+ "key": "opt06_uticket_prune/prune_rounds_3",
1675
+ "tag": "prune_rounds_3",
1676
+ "script": "opt06_uticket_prune.py",
1677
+ "hf_folder": "applied/opt06_uticket_prune",
1678
+ "phase": 9,
1679
  "status": "ok",
1680
+ "duration_s": 320.7,
1681
  "optimization_summary": {
1682
+ "optimization": "uticket_workload_balanced_pruning",
1683
+ "research_section": "3. Spike sparsity & MAC->AC restructuring",
1684
+ "reference": "u-Ticket: Workload-Balanced Pruning for Sparse SNNs, arXiv:2302.06746",
1685
+ "script": "opt06_uticket_prune.py",
1686
  "baseline_mode": false,
1687
  "method": "harmonic_matched",
1688
  "accuracy": {
1689
+ "test_acc": 0.9057142857142857,
1690
+ "test_target_acc": 0.9057142857142857,
1691
+ "best_val_acc": 0.9407142857142857
1692
  },
1693
  "efficiency": {
1694
  "spikes_per_inference": null,
1695
+ "syn_ops_per_inference": 550376.6811079546,
1696
+ "dense_macs_per_inference": 122675200.0,
1697
+ "event_fraction_of_dense": 0.004486454320905567,
1698
+ "syn_ops_per_inference_dense_fanout": 65058668.56331169,
1699
+ "weight_sparsity": 0.9592550083472454,
1700
+ "effective_ticks": 13.450714285714286,
1701
  "num_ticks": 100,
1702
  "membrane_bytes_per_inference": 451200,
1703
  "weight_bytes": 4907008,
1704
  "input_raster_bytes": null,
1705
+ "train_ms_per_step": 94.40872569999783,
1706
+ "infer_ms_per_sample": 0.6202037340624855,
1707
+ "peak_vram_mb": 2837.544448,
1708
+ "weight_bytes_nonzero": 160314
1709
  },
1710
  "optimization_specific": {
1711
+ "pruning_enabled": true,
1712
+ "balance_enabled": true,
1713
+ "rounds": 3,
1714
+ "final_sparsity": 0.9673295454545454,
1715
+ "nnz_per_layer": {
1716
+ "layer0": 2880,
1717
+ "layer1": 20480,
1718
+ "layer2": 16384
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1719
  },
1720
+ "pe_stats_per_layer": {
1721
+ "layer0": {
1722
+ "mean_nnz": 9.0,
1723
+ "max_nnz": 9.0,
1724
+ "min_nnz": 9.0,
1725
+ "total_nnz": 2880,
1726
+ "numel": 921600,
1727
+ "sparsity": 0.996875,
1728
+ "utilization": 1.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1729
  },
1730
+ "layer1": {
1731
+ "mean_nnz": 40.0,
1732
+ "max_nnz": 40.0,
1733
+ "min_nnz": 40.0,
1734
+ "total_nnz": 20480,
1735
+ "numel": 163840,
1736
+ "sparsity": 0.875,
1737
+ "utilization": 1.0
1738
  },
1739
+ "layer2": {
1740
+ "mean_nnz": 64.0,
1741
+ "max_nnz": 64.0,
1742
+ "min_nnz": 64.0,
1743
+ "total_nnz": 16384,
1744
+ "numel": 131072,
1745
+ "sparsity": 0.875,
1746
+ "utilization": 1.0
1747
+ }
1748
+ },
1749
+ "pe_utilization_final": 1.0,
1750
+ "pe_utilization_lth": 0.623062015503876,
1751
+ "pe_utilization_uticket": 1.0,
1752
+ "latency_proxy_dense": 3712,
1753
+ "latency_proxy_final": 113,
1754
+ "latency_reduction_frac": 0.9695581896551724,
1755
+ "rounds_history": [
1756
  {
1757
+ "round": 1,
1758
+ "layers": {
1759
+ "layer0": {
1760
+ "lth": {
1761
+ "mean_nnz": 36.0,
1762
+ "max_nnz": 49.0,
1763
+ "min_nnz": 25.0,
1764
+ "total_nnz": 11520,
1765
+ "numel": 921600,
1766
+ "sparsity": 0.9875,
1767
+ "utilization": 0.7346938775510204
1768
+ },
1769
+ "uticket": {
1770
+ "mean_nnz": 36.0,
1771
+ "max_nnz": 36.0,
1772
+ "min_nnz": 36.0,
1773
+ "total_nnz": 11520,
1774
+ "numel": 921600,
1775
+ "sparsity": 0.9875,
1776
+ "utilization": 1.0
1777
+ }
1778
+ },
1779
+ "layer1": {
1780
+ "lth": {
1781
+ "mean_nnz": 160.0,
1782
+ "max_nnz": 190.0,
1783
+ "min_nnz": 93.0,
1784
+ "total_nnz": 81920,
1785
+ "numel": 163840,
1786
+ "sparsity": 0.5,
1787
+ "utilization": 0.8421052631578947
1788
+ },
1789
+ "uticket": {
1790
+ "mean_nnz": 160.0,
1791
+ "max_nnz": 160.0,
1792
+ "min_nnz": 160.0,
1793
+ "total_nnz": 81920,
1794
+ "numel": 163840,
1795
+ "sparsity": 0.5,
1796
+ "utilization": 1.0
1797
+ }
1798
+ },
1799
+ "layer2": {
1800
+ "lth": {
1801
+ "mean_nnz": 256.0,
1802
+ "max_nnz": 297.0,
1803
+ "min_nnz": 193.0,
1804
+ "total_nnz": 65536,
1805
+ "numel": 131072,
1806
+ "sparsity": 0.5,
1807
+ "utilization": 0.8619528619528619
1808
+ },
1809
+ "uticket": {
1810
+ "mean_nnz": 256.0,
1811
+ "max_nnz": 256.0,
1812
+ "min_nnz": 256.0,
1813
+ "total_nnz": 65536,
1814
+ "numel": 131072,
1815
+ "sparsity": 0.5,
1816
+ "utilization": 1.0
1817
+ }
1818
+ }
1819
+ },
1820
+ "latency_proxy": 452,
1821
+ "sparsity": 0.8693181818181819
1822
  },
1823
  {
1824
+ "round": 2,
1825
+ "layers": {
1826
+ "layer0": {
1827
+ "lth": {
1828
+ "mean_nnz": 18.0,
1829
+ "max_nnz": 29.0,
1830
+ "min_nnz": 8.0,
1831
+ "total_nnz": 5760,
1832
+ "numel": 921600,
1833
+ "sparsity": 0.99375,
1834
+ "utilization": 0.6206896551724138
1835
+ },
1836
+ "uticket": {
1837
+ "mean_nnz": 18.0,
1838
+ "max_nnz": 18.0,
1839
+ "min_nnz": 18.0,
1840
+ "total_nnz": 5760,
1841
+ "numel": 921600,
1842
+ "sparsity": 0.99375,
1843
+ "utilization": 1.0
1844
+ }
1845
+ },
1846
+ "layer1": {
1847
+ "lth": {
1848
+ "mean_nnz": 80.0,
1849
+ "max_nnz": 115.0,
1850
+ "min_nnz": 28.0,
1851
+ "total_nnz": 40960,
1852
+ "numel": 163840,
1853
+ "sparsity": 0.75,
1854
+ "utilization": 0.6956521739130435
1855
+ },
1856
+ "uticket": {
1857
+ "mean_nnz": 80.0,
1858
+ "max_nnz": 80.0,
1859
+ "min_nnz": 80.0,
1860
+ "total_nnz": 40960,
1861
+ "numel": 163840,
1862
+ "sparsity": 0.75,
1863
+ "utilization": 1.0
1864
+ }
1865
+ },
1866
+ "layer2": {
1867
+ "lth": {
1868
+ "mean_nnz": 128.0,
1869
+ "max_nnz": 157.0,
1870
+ "min_nnz": 99.0,
1871
+ "total_nnz": 32768,
1872
+ "numel": 131072,
1873
+ "sparsity": 0.75,
1874
+ "utilization": 0.8152866242038217
1875
+ },
1876
+ "uticket": {
1877
+ "mean_nnz": 128.0,
1878
+ "max_nnz": 128.0,
1879
+ "min_nnz": 128.0,
1880
+ "total_nnz": 32768,
1881
+ "numel": 131072,
1882
+ "sparsity": 0.75,
1883
+ "utilization": 1.0
1884
+ }
1885
+ }
1886
+ },
1887
+ "latency_proxy": 226,
1888
+ "sparsity": 0.9346590909090909
1889
  },
1890
  {
1891
+ "round": 3,
1892
+ "layers": {
1893
+ "layer0": {
1894
+ "lth": {
1895
+ "mean_nnz": 9.0,
1896
+ "max_nnz": 18.0,
1897
+ "min_nnz": 1.0,
1898
+ "total_nnz": 2880,
1899
+ "numel": 921600,
1900
+ "sparsity": 0.996875,
1901
+ "utilization": 0.5
1902
+ },
1903
+ "uticket": {
1904
+ "mean_nnz": 9.0,
1905
+ "max_nnz": 9.0,
1906
+ "min_nnz": 9.0,
1907
+ "total_nnz": 2880,
1908
+ "numel": 921600,
1909
+ "sparsity": 0.996875,
1910
+ "utilization": 1.0
1911
+ }
1912
+ },
1913
+ "layer1": {
1914
+ "lth": {
1915
+ "mean_nnz": 40.0,
1916
+ "max_nnz": 64.0,
1917
+ "min_nnz": 6.0,
1918
+ "total_nnz": 20480,
1919
+ "numel": 163840,
1920
+ "sparsity": 0.875,
1921
+ "utilization": 0.625
1922
+ },
1923
+ "uticket": {
1924
+ "mean_nnz": 40.0,
1925
+ "max_nnz": 40.0,
1926
+ "min_nnz": 40.0,
1927
+ "total_nnz": 20480,
1928
+ "numel": 163840,
1929
+ "sparsity": 0.875,
1930
+ "utilization": 1.0
1931
+ }
1932
+ },
1933
+ "layer2": {
1934
+ "lth": {
1935
+ "mean_nnz": 64.0,
1936
+ "max_nnz": 86.0,
1937
+ "min_nnz": 45.0,
1938
+ "total_nnz": 16384,
1939
+ "numel": 131072,
1940
+ "sparsity": 0.875,
1941
+ "utilization": 0.7441860465116279
1942
+ },
1943
+ "uticket": {
1944
+ "mean_nnz": 64.0,
1945
+ "max_nnz": 64.0,
1946
+ "min_nnz": 64.0,
1947
+ "total_nnz": 16384,
1948
+ "numel": 131072,
1949
+ "sparsity": 0.875,
1950
+ "utilization": 1.0
1951
+ }
1952
+ }
1953
+ },
1954
+ "latency_proxy": 113,
1955
+ "sparsity": 0.9673295454545454
1956
  }
1957
+ ],
1958
+ "latency_proxy_lth": 168,
1959
+ "latency_reduction_vs_lth_frac": 0.32738095238095233
1960
  },
1961
  "config": {
1962
  "method": "harmonic_matched",
 
1996
  "decision_margin": 2.0,
1997
  "export": false,
1998
  "seed": 1234,
1999
+ "hub_dir": "/kaggle/working/hub/opt06_uticket_prune/prune_rounds_3",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2000
  "repo_id": "UWU-R-13/SSVEP-SNN",
2001
  "push_hf": false,
2002
  "keep_epoch_weights": 1,
2003
  "no_resume": true,
2004
  "selftest": false,
2005
+ "baseline": false,
2006
+ "bench": true,
2007
+ "bench_warmup": 10,
2008
+ "bench_iters": 50,
2009
+ "bench_train_steps": 20,
2010
+ "prune_rounds": 3,
2011
+ "prune_rate": 0.5,
2012
+ "rewind_epoch": 1,
2013
+ "balance": true,
2014
+ "balance_iters": 2,
2015
+ "prune_readout": false,
2016
  "sampling_rate": 250.0
2017
  }
2018
  },
2019
  "zip": {
2020
+ "name": "prune_rounds_3.zip",
2021
  "files": 81,
2022
+ "bytes": 8378826,
2023
+ "MB": 8.4,
2024
+ "sha256": "4f95cb87dd3ae4936d31d4c1e94317cb6a26fbeb7da655363811df3a91cd6bf8"
2025
  }
2026
  }
2027
  ]