Invalid JSON:Unexpected token 'N', ..."_recall": NaN,
""... is not valid JSON
| { | |
| "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" | |
| } | |
| } |