add run dta_only

applied/opt01_ttfs_dta/dta_only.summary.json

@@ -0,0 +1,249 @@
+{
+  "key": "opt01_ttfs_dta/dta_only",
+  "tag": "dta_only",
+  "script": "opt01_ttfs_dta.py",
+  "script_sha256_16": "7655b86c97888299",
+  "hf_folder": "applied/opt01_ttfs_dta",
+  "priority": 2,
+  "note": "isolates DTA from TTFS",
+  "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_only",
+    "--keep-epoch-weights",
+    "1",
+    "--resplit",
+    "block",
+    "--drop-rest",
+    "--bench",
+    "--no-ttfs",
+    "--dta"
+  ],
+  "flags": [
+    "--no-ttfs",
+    "--dta"
+  ],
+  "epochs_requested": 60,
+  "gpus": 2,
+  "relative_epoch_cost": 1.0,
+  "exit_code": 0,
+  "status": "ok",
+  "duration_s": 337.9,
+  "started_utc": "2026-08-23T05:22:15.668879+00:00",
+  "finished_utc": "2026-08-23T05:27:53.618303+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": 0.6742857142857143,
+      "test_target_acc": 0.6742857142857143,
+      "best_val_acc": 0.6571428571428571
+    },
+    "efficiency": {
+      "spikes_per_inference": null,
+      "syn_ops_per_inference": 3206207.6014610385,
+      "dense_macs_per_inference": 122675200.0,
+      "event_fraction_of_dense": 0.02613574382973118,
+      "syn_ops_per_inference_dense_fanout": 64782825.38798702,
+      "weight_sparsity": 0.7324707846410685,
+      "effective_ticks": 88.025,
+      "num_ticks": 100,
+      "membrane_bytes_per_inference": 451200,
+      "weight_bytes": 4907008,
+      "input_raster_bytes": null,
+      "train_ms_per_step": 100.90107790001639,
+      "infer_ms_per_sample": 0.6546642981248851,
+      "peak_vram_mb": 2914.382848
+    },
+    "optimization_specific": {
+      "ttfs": false,
+      "dta": true,
+      "readout": "ttfs",
+      "ttfs_halt_k": 1,
+      "dta_target_rate": 0.05,
+      "dta_momentum": 0.1,
+      "spikes_per_neuron_per_inference": 6.18145896656535,
+      "ttfs_budget_respected": false,
+      "frac_neurons_that_ever_fire": 0.659125506585613,
+      "mean_first_spike_tick": 19.138416030112662,
+      "per_layer_ttfs": [
+        {
+          "layer": 0,
+          "neurons": 320,
+          "spikes_per_neuron_per_inference": 5.745680803571428,
+          "frac_neurons_that_ever_fire": 0.6952366071428572,
+          "mean_first_spike_tick": 18.81047048473991
+        },
+        {
+          "layer": 1,
+          "neurons": 512,
+          "spikes_per_neuron_per_inference": 4.710100446428571,
+          "frac_neurons_that_ever_fire": 0.5154185267857143,
+          "mean_first_spike_tick": 25.280761776902008
+        },
+        {
+          "layer": 2,
+          "neurons": 256,
+          "spikes_per_neuron_per_inference": 6.6330078125,
+          "frac_neurons_that_ever_fire": 0.8487081473214285,
+          "mean_first_spike_tick": 15.31439589449564
+        },
+        {
+          "layer": 3,
+          "neurons": 40,
+          "spikes_per_neuron_per_inference": 25.611160714285713,
+          "frac_neurons_that_ever_fire": 0.9963571428571428,
+          "mean_first_spike_tick": 1.1446698688077999
+        }
+      ],
+      "mean_halt_tick": 100.0,
+      "effective_ticks": 100.0,
+      "ticks_saved_frac": 0.0,
+      "num_ticks": 100,
+      "dta_thr_min": 1.0,
+      "dta_thr_max": 5.0,
+      "dta_thr_mean": 2.1204841136932373,
+      "base_thresh": 1.0
+    },
+    "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": 1.0,
+      "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_only",
+      "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": false,
+      "ttfs_halt_k": 1,
+      "dta": true,
+      "dta_target_rate": 0.05,
+      "dta_readout_rate": 0.95,
+      "ttfs_logit_scale": 10.0,
+      "dta_momentum": 0.1,
+      "dta_min": 0.2,
+      "dta_max": 5.0,
+      "dta_windup_patience": 200,
+      "sampling_rate": 250.0
+    }
+  },
+  "final_summary": {
+    "final_test_acc": 0.6742857142857143,
+    "final_test_target_acc": 0.6742857142857143,
+    "final_test_rest_recall": NaN,
+    "best_acc": 0.6571428571428571,
+    "best_epoch": 55,
+    "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": {
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+    "anytime_acc": {
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+      "0.5": 0.49214285714285716,
+      "0.75": 0.6585714285714286,
+      "1.0": 0.6735714285714286
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+    "event_fraction_of_dense": 0.02613574382973118,
+    "syn_per_inference_dense_fanout": 64782825.38798702,
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+    "num_ticks": 100,
+    "dt_ms": 50.0,
+    "mean_halt_tick": 100.0,
+    "effective_ticks": 100.0,
+    "ticks_saved_frac": 0.0,
+    "mean_halt_ms": 5000.0,
+    "out_spikes_per_inference": 1024.4464285714287,
+    "margin_decision_acc": 0.6735714285714286,
+    "mean_decision_tick": 88.025,
+    "mean_decision_ms": 4401.25,
+    "dense_forward_test_acc": 0.6742857142857143
+  },
+  "extra_sweep_file_present": false,
+  "selftest": {
+    "mode": "gate",
+    "passed": true
+  },
+  "driver_version": 1,
+  "zip": {
+    "name": "dta_only.zip",
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+    "MB": 12.3,
+    "sha256": "1640d438f904c741d308350e45a4c63554c2e4f0012049282112c2872188bb3f"
+  }
+}

applied/opt01_ttfs_dta/dta_only.zip

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