add run ttfs_only

applied/opt01_ttfs_dta/ttfs_only.summary.json

@@ -0,0 +1,249 @@
+{
+  "key": "opt01_ttfs_dta/ttfs_only",
+  "tag": "ttfs_only",
+  "script": "opt01_ttfs_dta.py",
+  "script_sha256_16": "7655b86c97888299",
+  "hf_folder": "applied/opt01_ttfs_dta",
+  "priority": 2,
+  "note": "isolates TTFS from DTA",
+  "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/ttfs_only",
+    "--keep-epoch-weights",
+    "1",
+    "--resplit",
+    "block",
+    "--drop-rest",
+    "--bench",
+    "--ttfs",
+    "--no-dta"
+  ],
+  "flags": [
+    "--ttfs",
+    "--no-dta"
+  ],
+  "epochs_requested": 60,
+  "gpus": 2,
+  "relative_epoch_cost": 1.0,
+  "exit_code": 0,
+  "status": "ok",
+  "duration_s": 316.6,
+  "started_utc": "2026-08-23T05:33:19.515559+00:00",
+  "finished_utc": "2026-08-23T05:38:36.140374+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": {
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+      "test_target_acc": 0.26571428571428574,
+      "best_val_acc": 0.2764285714285714
+    },
+    "efficiency": {
+      "spikes_per_inference": null,
+      "syn_ops_per_inference": 1293802.3214285714,
+      "dense_macs_per_inference": 122675200.0,
+      "event_fraction_of_dense": 0.010546567859099243,
+      "syn_ops_per_inference_dense_fanout": 43842927.71022727,
+      "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": 95.39970539999558,
+      "infer_ms_per_sample": 0.6148795821877684,
+      "peak_vram_mb": 2909.192192
+    },
+    "optimization_specific": {
+      "ttfs": true,
+      "dta": false,
+      "readout": "ttfs",
+      "ttfs_halt_k": 1,
+      "dta_target_rate": null,
+      "dta_momentum": null,
+      "spikes_per_neuron_per_inference": 0.6298676545086119,
+      "ttfs_budget_respected": true,
+      "frac_neurons_that_ever_fire": 0.6298676545086119,
+      "mean_first_spike_tick": 14.875147659515003,
+      "per_layer_ttfs": [
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+          "layer": 0,
+          "neurons": 320,
+          "spikes_per_neuron_per_inference": 0.8336785714285714,
+          "frac_neurons_that_ever_fire": 0.8336785714285714,
+          "mean_first_spike_tick": 11.4879273229662
+        },
+        {
+          "layer": 1,
+          "neurons": 512,
+          "spikes_per_neuron_per_inference": 0.51552734375,
+          "frac_neurons_that_ever_fire": 0.51552734375,
+          "mean_first_spike_tick": 16.81680783698211
+        },
+        {
+          "layer": 2,
+          "neurons": 256,
+          "spikes_per_neuron_per_inference": 0.6524330357142857,
+          "frac_neurons_that_ever_fire": 0.6524330357142857,
+          "mean_first_spike_tick": 11.979994183858496
+        },
+        {
+          "layer": 3,
+          "neurons": 40,
+          "spikes_per_neuron_per_inference": 0.31851785714285713,
+          "frac_neurons_that_ever_fire": 0.31851785714285713,
+          "mean_first_spike_tick": 83.52817177776532
+        }
+      ],
+      "mean_halt_tick": 60.29142857142857,
+      "effective_ticks": 60.29142857142857,
+      "ticks_saved_frac": 0.39708571428571426,
+      "num_ticks": 100,
+      "dta_thr_min": 10.0,
+      "dta_thr_max": 10.0,
+      "dta_thr_mean": 10.0,
+      "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/ttfs_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": true,
+      "ttfs_halt_k": 1,
+      "dta": false,
+      "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": 0.26571428571428574,
+    "final_test_target_acc": 0.26571428571428574,
+    "final_test_rest_recall": NaN,
+    "best_acc": 0.2764285714285714,
+    "best_epoch": 54,
+    "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": 0.26142857142857145,
+    "anytime_acc": {
+      "0.25": 0.05714285714285714,
+      "0.5": 0.14714285714285713,
+      "0.75": 0.24571428571428572,
+      "1.0": 0.26142857142857145
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+    "syn_per_inference": 1293802.3214285714,
+    "dense_per_inference": 122675200.0,
+    "event_fraction_of_dense": 0.010546567859099243,
+    "syn_per_inference_dense_fanout": 43842927.71022727,
+    "weight_sparsity": 0.7324707846410685,
+    "num_ticks": 100,
+    "dt_ms": 50.0,
+    "mean_halt_tick": 60.29142857142857,
+    "effective_ticks": 60.29142857142857,
+    "ticks_saved_frac": 0.39708571428571426,
+    "mean_halt_ms": 3014.571428571429,
+    "out_spikes_per_inference": 11.352857142857143,
+    "margin_decision_acc": 0.26142857142857145,
+    "mean_decision_tick": 100.0,
+    "mean_decision_ms": 5000.0,
+    "dense_forward_test_acc": 0.26571428571428574
+  },
+  "extra_sweep_file_present": false,
+  "selftest": {
+    "mode": "gate",
+    "passed": true
+  },
+  "driver_version": 1,
+  "zip": {
+    "name": "ttfs_only.zip",
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+    "MB": 12.3,
+    "sha256": "b444fc5f0e734ae6e0a5aaa2ed2af9132268522c12281393acf624235cde95ad"
+  }
+}

applied/opt01_ttfs_dta/ttfs_only.zip

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