SSVEN_pasqwerty / applied /opt01_ttfs_dta /control_baseline.summary.json
p-j-r-1-2-3's picture
add run control_baseline
95cdd7b verified
Raw
History Blame Contribute Delete
7.18 kB
Invalid JSON:Unexpected token 'N', ..."_recall": NaN, ""... is not valid JSON
{
"key": "opt01_ttfs_dta/control_baseline",
"tag": "control_baseline",
"script": "opt01_ttfs_dta.py",
"script_sha256_16": "7655b86c97888299",
"hf_folder": "applied/opt01_ttfs_dta",
"priority": 0,
"note": "control: rate-coded, TTFS+DTA off",
"phase": 1,
"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/control_baseline",
"--keep-epoch-weights",
"1",
"--resplit",
"block",
"--drop-rest",
"--bench",
"--baseline"
],
"flags": [
"--baseline"
],
"epochs_requested": 60,
"gpus": 2,
"relative_epoch_cost": 1.0,
"exit_code": 0,
"status": "ok",
"duration_s": 324.9,
"started_utc": "2026-08-23T02:51:06.550023+00:00",
"finished_utc": "2026-08-23T02:56:31.480454+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": true,
"method": "harmonic_matched",
"accuracy": {
"test_acc": 0.9435714285714286,
"test_target_acc": 0.9435714285714286,
"best_val_acc": 0.9485714285714286
},
"efficiency": {
"spikes_per_inference": null,
"syn_ops_per_inference": 3231983.9886363638,
"dense_macs_per_inference": 122675200.0,
"event_fraction_of_dense": 0.026345862803862263,
"syn_ops_per_inference_dense_fanout": 64808601.77516234,
"weight_sparsity": 0.7324707846410685,
"effective_ticks": 12.076428571428572,
"num_ticks": 100,
"membrane_bytes_per_inference": 451200,
"weight_bytes": 4907008,
"input_raster_bytes": null,
"train_ms_per_step": 95.4652436500055,
"infer_ms_per_sample": 0.632198698124995,
"peak_vram_mb": 2914.106368
},
"optimization_specific": {
"ttfs": false,
"dta": false,
"readout": "spikecount",
"ttfs_halt_k": 1,
"dta_target_rate": null,
"dta_momentum": null,
"spikes_per_neuron_per_inference": 6.773503672745694,
"ttfs_budget_respected": false,
"frac_neurons_that_ever_fire": 0.7111518490374873,
"mean_first_spike_tick": 13.85866447739239,
"per_layer_ttfs": [
{
"layer": 0,
"neurons": 320,
"spikes_per_neuron_per_inference": 6.179979910714286,
"frac_neurons_that_ever_fire": 0.7382388392857143,
"mean_first_spike_tick": 13.402922616869903
},
{
"layer": 1,
"neurons": 512,
"spikes_per_neuron_per_inference": 3.8403431919642856,
"frac_neurons_that_ever_fire": 0.5913783482142857,
"mean_first_spike_tick": 19.06668789808917
},
{
"layer": 2,
"neurons": 256,
"spikes_per_neuron_per_inference": 13.378063616071428,
"frac_neurons_that_ever_fire": 0.8717215401785714,
"mean_first_spike_tick": 9.758566055853406
},
{
"layer": 3,
"neurons": 40,
"spikes_per_neuron_per_inference": 6.796964285714286,
"frac_neurons_that_ever_fire": 0.9999107142857143,
"mean_first_spike_tick": 0.0006429145459416019
}
],
"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": 1.0,
"dta_thr_mean": 1.0,
"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/control_baseline",
"repo_id": "UWU-R-13/SSVEP-SNN",
"push_hf": false,
"keep_epoch_weights": 1,
"no_resume": true,
"selftest": false,
"baseline": true,
"bench": true,
"bench_warmup": 10,
"bench_iters": 50,
"bench_train_steps": 20,
"ttfs": true,
"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": 0.9435714285714286,
"final_test_target_acc": 0.9435714285714286,
"final_test_rest_recall": NaN,
"best_acc": 0.9485714285714286,
"best_epoch": 47,
"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": 0.9435714285714286,
"anytime_acc": {
"0.25": 0.6321428571428571,
"0.5": 0.8514285714285714,
"0.75": 0.9171428571428571,
"1.0": 0.9435714285714286
},
"syn_per_inference": 3231983.9886363638,
"dense_per_inference": 122675200.0,
"event_fraction_of_dense": 0.026345862803862263,
"syn_per_inference_dense_fanout": 64808601.77516234,
"weight_sparsity": 0.7324707846410685,
"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": 271.8778571428571,
"margin_decision_acc": 0.44571428571428573,
"mean_decision_tick": 12.076428571428572,
"mean_decision_ms": 603.8214285714287,
"dense_forward_test_acc": 0.9435714285714286
},
"extra_sweep_file_present": false,
"selftest": {
"mode": "gate",
"passed": true
},
"driver_version": 1,
"zip": {
"name": "control_baseline.zip",
"files": 80,
"bytes": 12262646,
"MB": 12.3,
"sha256": "c4997d83edc40f945e2bde2e023fbe4d8722960cb38b6b4896a15611c735e03a"
}
}