add run dta_aggressive

applied/opt01_ttfs_dta/dta_aggressive.summary.json

@@ -0,0 +1,257 @@
+{
+  "key": "opt01_ttfs_dta/dta_aggressive",
+  "tag": "dta_aggressive",
+  "script": "opt01_ttfs_dta.py",
+  "script_sha256_16": "7655b86c97888299",
+  "hf_folder": "applied/opt01_ttfs_dta",
+  "priority": 2,
+  "note": "",
+  "phase": 6,
+  "n_phases": 10,
+  "method": "harmonic_matched",
+  "command": [
+    "/usr/bin/python3",
+    "-m",
+    "torch.distributed.run",
+    "--standalone",
+    "--nproc_per_node=2",
+    "/kaggle/working/scripts/opt01_ttfs_dta.py",
+    "--method",
+    "harmonic_matched",
+    "--data-root",
+    "/kaggle/working/data",
+    "--epochs",
+    "60",
+    "--seed",
+    "1234",
+    "--batch-size",
+    "64",
+    "--event-eval",
+    "--no-resume",
+    "--decision-margin",
+    "2.0",
+    "--hub-dir",
+    "/kaggle/working/hub/opt01_ttfs_dta/dta_aggressive",
+    "--keep-epoch-weights",
+    "1",
+    "--resplit",
+    "block",
+    "--drop-rest",
+    "--bench",
+    "--dta-target-rate",
+    "0.02",
+    "--dta-momentum",
+    "0.3",
+    "--dta-max",
+    "10.0"
+  ],
+  "flags": [
+    "--dta-target-rate",
+    "0.02",
+    "--dta-momentum",
+    "0.3",
+    "--dta-max",
+    "10.0"
+  ],
+  "epochs_requested": 60,
+  "gpus": 2,
+  "relative_epoch_cost": 1.0,
+  "exit_code": 0,
+  "status": "ok",
+  "duration_s": 319.2,
+  "started_utc": "2026-08-23T05:11:30.441663+00:00",
+  "finished_utc": "2026-08-23T05:16:49.666130+00:00",
+  "optimization_summary": {
+    "optimization": "ttfs_dta",
+    "research_section": "2. Temporal-Dimension Reduction (TTFS coding / DTA-TTFS)",
+    "reference": "Software-Level Optimizations for Spiking Neural Network Inference on ARM Architectures: A Deep-Dive into the Jetson Nano Ecosystem (research.md SS2)",
+    "script": "opt01_ttfs_dta.py",
+    "baseline_mode": false,
+    "method": "harmonic_matched",
+    "accuracy": {
+      "test_acc": 0.11071428571428571,
+      "test_target_acc": 0.11071428571428571,
+      "best_val_acc": 0.4042857142857143
+    },
+    "efficiency": {
+      "spikes_per_inference": null,
+      "syn_ops_per_inference": 1672292.695616883,
+      "dense_macs_per_inference": 122675200.0,
+      "event_fraction_of_dense": 0.013631872584001354,
+      "syn_ops_per_inference_dense_fanout": 61255206.297077924,
+      "weight_sparsity": 0.7324707846410685,
+      "effective_ticks": 100.0,
+      "num_ticks": 100,
+      "membrane_bytes_per_inference": 451200,
+      "weight_bytes": 4907008,
+      "input_raster_bytes": null,
+      "train_ms_per_step": 96.12080785000217,
+      "infer_ms_per_sample": 0.6161109312500912,
+      "peak_vram_mb": 2908.82304
+    },
+    "optimization_specific": {
+      "ttfs": true,
+      "dta": true,
+      "readout": "ttfs",
+      "ttfs_halt_k": 1,
+      "dta_target_rate": 0.02,
+      "dta_momentum": 0.3,
+      "spikes_per_neuron_per_inference": 0.25650899189463017,
+      "ttfs_budget_respected": true,
+      "frac_neurons_that_ever_fire": 0.25650899189463017,
+      "mean_first_spike_tick": 10.689887651544513,
+      "per_layer_ttfs": [
+        {
+          "layer": 0,
+          "neurons": 320,
+          "spikes_per_neuron_per_inference": 0.8740625,
+          "frac_neurons_that_ever_fire": 0.8740625,
+          "mean_first_spike_tick": 7.994496654578885
+        },
+        {
+          "layer": 1,
+          "neurons": 512,
+          "spikes_per_neuron_per_inference": 0.012979910714285715,
+          "frac_neurons_that_ever_fire": 0.012979910714285715,
+          "mean_first_spike_tick": 90.16046861564918
+        },
+        {
+          "layer": 2,
+          "neurons": 256,
+          "spikes_per_neuron_per_inference": 0.009171316964285714,
+          "frac_neurons_that_ever_fire": 0.009171316964285714,
+          "mean_first_spike_tick": 85.47246729540615
+        },
+        {
+          "layer": 3,
+          "neurons": 40,
+          "spikes_per_neuron_per_inference": 0.016214285714285716,
+          "frac_neurons_that_ever_fire": 0.016214285714285716,
+          "mean_first_spike_tick": 88.06497797356828
+        }
+      ],
+      "mean_halt_tick": 96.15,
+      "effective_ticks": 96.15,
+      "ticks_saved_frac": 0.03849999999999998,
+      "num_ticks": 100,
+      "dta_thr_min": 10.0,
+      "dta_thr_max": 90.773681640625,
+      "dta_thr_mean": 45.99387741088867,
+      "base_thresh": 10.0
+    },
+    "config": {
+      "method": "harmonic_matched",
+      "data_root": "/kaggle/working/data",
+      "subjects": "",
+      "blocks": "",
+      "limit": 0,
+      "drop_rest": true,
+      "resplit": "block",
+      "test_blocks": "6",
+      "class_weight": false,
+      "epochs": 60,
+      "batch_size": 64,
+      "lr": 0.002,
+      "weight_decay": 0.0005,
+      "grad_clip": 5.0,
+      "num_bins": 100,
+      "window_sec": 5.0,
+      "hidden": "512,256",
+      "freq_groups": 8,
+      "dropout": 0.3,
+      "spike_drop": 0.1,
+      "time_jitter": 2,
+      "label_smoothing": 0.05,
+      "no_batchnorm": false,
+      "binary_input": false,
+      "beta": 1.0,
+      "thresh": 10.0,
+      "window": 0.5,
+      "gain": 1.0,
+      "alpha": 0.9,
+      "readout": "ttfs",
+      "fake_quant": 0,
+      "amp": false,
+      "spike_reg": 0.0,
+      "event_eval": true,
+      "decision_margin": 2.0,
+      "export": false,
+      "seed": 1234,
+      "hub_dir": "/kaggle/working/hub/opt01_ttfs_dta/dta_aggressive",
+      "repo_id": "UWU-R-13/SSVEP-SNN",
+      "push_hf": false,
+      "keep_epoch_weights": 1,
+      "no_resume": true,
+      "selftest": false,
+      "baseline": false,
+      "bench": true,
+      "bench_warmup": 10,
+      "bench_iters": 50,
+      "bench_train_steps": 20,
+      "ttfs": true,
+      "ttfs_halt_k": 1,
+      "dta": true,
+      "dta_target_rate": 0.02,
+      "dta_readout_rate": 0.95,
+      "ttfs_logit_scale": 10.0,
+      "dta_momentum": 0.3,
+      "dta_min": 0.2,
+      "dta_max": 10.0,
+      "dta_windup_patience": 200,
+      "sampling_rate": 250.0
+    }
+  },
+  "final_summary": {
+    "final_test_acc": 0.11071428571428571,
+    "final_test_target_acc": 0.11071428571428571,
+    "final_test_rest_recall": NaN,
+    "best_acc": 0.4042857142857143,
+    "best_epoch": 7,
+    "resplit": "block",
+    "class_weight": false,
+    "drop_rest": true,
+    "epochs": 60,
+    "method": "harmonic_matched",
+    "n_in": 2880,
+    "n_classes": 40,
+    "num_bins": 100
+  },
+  "event_driven_summary": {
+    "acc": 0.10714285714285714,
+    "anytime_acc": {
+      "0.25": 0.025714285714285714,
+      "0.5": 0.035,
+      "0.75": 0.05928571428571429,
+      "1.0": 0.10714285714285714
+    },
+    "syn_per_inference": 1672292.695616883,
+    "dense_per_inference": 122675200.0,
+    "event_fraction_of_dense": 0.013631872584001354,
+    "syn_per_inference_dense_fanout": 61255206.297077924,
+    "weight_sparsity": 0.7324707846410685,
+    "num_ticks": 100,
+    "dt_ms": 50.0,
+    "mean_halt_tick": 96.15,
+    "effective_ticks": 96.15,
+    "ticks_saved_frac": 0.03849999999999998,
+    "mean_halt_ms": 4807.500000000001,
+    "out_spikes_per_inference": 0.6342857142857142,
+    "margin_decision_acc": 0.10714285714285714,
+    "mean_decision_tick": 100.0,
+    "mean_decision_ms": 5000.0,
+    "dense_forward_test_acc": 0.11071428571428571
+  },
+  "extra_sweep_file_present": false,
+  "selftest": {
+    "mode": "gate",
+    "passed": true
+  },
+  "driver_version": 1,
+  "zip": {
+    "name": "dta_aggressive.zip",
+    "files": 80,
+    "bytes": 12436385,
+    "MB": 12.4,
+    "sha256": "e9e42992f9e855fd020082670c2b1a22f72e258066e21af39ca66533b499eeac"
+  }
+}

applied/opt01_ttfs_dta/dta_aggressive.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e9e42992f9e855fd020082670c2b1a22f72e258066e21af39ca66533b499eeac
+size 12436385