{ "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" } }