p-j-r-1-2-3 commited on
Commit
ce8681e
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1 Parent(s): 9980f52

add run control_baseline

Browse files
applied/opt02_seenn_bayes/control_baseline.summary.json ADDED
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+ {
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+ "key": "opt02_seenn_bayes/control_baseline",
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+ "tag": "control_baseline",
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+ "script": "opt02_seenn_bayes.py",
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+ "script_sha256_16": "dd4f650ca0b36f6e",
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+ "hf_folder": "applied/opt02_seenn_bayes",
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+ "priority": 0,
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+ "note": "control: no IC head, no early exit",
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+ "phase": 1,
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+ "n_phases": 10,
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+ "method": "harmonic_matched",
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+ "command": [
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+ "/usr/bin/python3",
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+ "-m",
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+ "torch.distributed.run",
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+ "--standalone",
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+ "--nproc_per_node=2",
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+ "/kaggle/working/scripts/opt02_seenn_bayes.py",
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+ "--method",
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+ "harmonic_matched",
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+ "--data-root",
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+ "/kaggle/working/data",
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+ "--epochs",
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+ "60",
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+ "--seed",
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+ "1234",
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+ "--batch-size",
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+ "64",
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+ "--event-eval",
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+ "--no-resume",
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+ "--decision-margin",
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+ "2.0",
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+ "--hub-dir",
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+ "/kaggle/working/hub/opt02_seenn_bayes/control_baseline",
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+ "--keep-epoch-weights",
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+ "1",
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+ "--resplit",
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+ "block",
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+ "--drop-rest",
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+ "--bench",
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+ "--baseline"
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+ ],
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+ "flags": [
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+ "--baseline"
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+ ],
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+ "epochs_requested": 60,
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+ "gpus": 2,
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+ "relative_epoch_cost": 1.0,
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+ "exit_code": 0,
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+ "status": "ok",
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+ "duration_s": 320.9,
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+ "started_utc": "2026-08-23T03:02:51.337217+00:00",
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+ "finished_utc": "2026-08-23T03:08:12.260900+00:00",
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+ "optimization_summary": {
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+ "optimization": "seenn_early_exit_bayesian_fusion",
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+ "research_section": "2. Temporal-dimension reduction",
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+ "reference": "SEENN: Towards Temporal Spiking Early-Exit Neural Networks, arXiv:2304.01230 (NeurIPS 2023); BayesianSpikeFusion, Front. Neurosci. 2024 (PMC11330889)",
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+ "script": "opt02_seenn_bayes.py",
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+ "baseline_mode": true,
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+ "method": "harmonic_matched",
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+ "accuracy": {
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+ "test_acc": 0.9421428571428572,
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+ "test_target_acc": 0.9421428571428572,
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+ "best_val_acc": 0.9464285714285714
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+ },
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+ "efficiency": {
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+ "spikes_per_inference": null,
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+ "syn_ops_per_inference": 3244711.4707792206,
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+ "dense_macs_per_inference": 122675200.0,
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+ "event_fraction_of_dense": 0.026449612234414294,
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+ "syn_ops_per_inference_dense_fanout": 64821329.2573052,
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+ "weight_sparsity": 0.7324707846410685,
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+ "effective_ticks": 12.099285714285715,
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+ "num_ticks": 100,
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+ "membrane_bytes_per_inference": 451200,
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+ "weight_bytes": 4907008,
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+ "input_raster_bytes": null,
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+ "train_ms_per_step": 91.90045595169067,
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+ "infer_ms_per_sample": 0.6131382294036635,
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+ "peak_vram_mb": 10744.00512
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+ },
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+ "optimization_specific": {
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+ "seenn_enabled": false,
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+ "bayes_fusion_enabled": false,
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+ "conf_threshold": 0.9,
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+ "conf_temp": 2.0,
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+ "anytime_fracs": "1.0",
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+ "anytime_weights": "1.0",
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+ "ic_loss_weight": 0.0,
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+ "ic_layer": 0,
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+ "mean_exit_tick": null,
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+ "mean_exit_ms": null,
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+ "ticks_saved_frac": null,
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+ "exit_tick_histogram": null,
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+ "acc_fc_only": 0.9421428571428572,
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+ "acc_ic_only": null,
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+ "acc_fused": 0.9421428571428572,
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+ "acc_early_exit": null,
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+ "syn_ops_saved_frac": null,
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+ "syn_per_inference_early_exit": null,
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+ "anytime_acc": {
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+ "0.25": 0.6221428571428571,
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+ "0.5": 0.8442857142857143,
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+ "0.75": 0.9164285714285715,
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+ "1.0": 0.9421428571428572
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+ },
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+ "pareto": null
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+ },
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+ "config": {
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+ "method": "harmonic_matched",
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+ "data_root": "/kaggle/working/data",
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+ "subjects": "",
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+ "blocks": "",
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+ "limit": 0,
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+ "drop_rest": true,
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+ "resplit": "block",
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+ "test_blocks": "6",
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+ "class_weight": false,
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+ "epochs": 60,
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+ "batch_size": 64,
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+ "lr": 0.002,
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+ "weight_decay": 0.0005,
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+ "grad_clip": 5.0,
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+ "num_bins": 100,
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+ "window_sec": 5.0,
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+ "hidden": "512,256",
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+ "freq_groups": 8,
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+ "dropout": 0.3,
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+ "spike_drop": 0.1,
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+ "time_jitter": 2,
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+ "label_smoothing": 0.05,
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+ "no_batchnorm": false,
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+ "binary_input": false,
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+ "beta": 1.0,
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+ "thresh": 1.0,
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+ "window": 0.5,
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+ "gain": 1.0,
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+ "alpha": 0.9,
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+ "readout": "spikecount",
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+ "fake_quant": 0,
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+ "amp": false,
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+ "spike_reg": 0.0,
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+ "event_eval": true,
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+ "decision_margin": 2.0,
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+ "export": false,
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+ "seed": 1234,
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+ "baseline": true,
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+ "bench": true,
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+ "bench_warmup": 10,
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+ "bench_iters": 50,
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+ "bench_train_steps": 20,
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+ "anytime_fracs": "0.25,0.5,1.0",
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+ "anytime_weights": "0.3,0.3,1.0",
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+ "ic_layer": 0,
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+ "ic_loss_weight": 0.3,
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+ "bayes_fusion": false,
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+ "fusion_prior_weight": 1.0,
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+ "conf_threshold": 0.9,
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+ "conf_temp": 2.0,
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+ "conf_sweep": "0.5,0.7,0.8,0.9,0.95,0.99",
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+ "hub_dir": "/kaggle/working/hub/opt02_seenn_bayes/control_baseline",
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+ "repo_id": "UWU-R-13/SSVEP-SNN",
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+ "push_hf": false,
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+ "keep_epoch_weights": 1,
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+ "no_resume": true,
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+ "selftest": false,
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+ "sampling_rate": 250.0
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+ }
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+ },
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+ "final_summary": {
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+ "final_test_acc": 0.9421428571428572,
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+ "final_test_target_acc": 0.9421428571428572,
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+ "final_test_rest_recall": NaN,
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+ "best_acc": 0.9464285714285714,
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+ "best_epoch": 54,
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+ "resplit": "block",
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+ "class_weight": false,
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+ "drop_rest": true,
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+ "epochs": 60,
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+ "method": "harmonic_matched",
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+ "n_in": 2880,
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+ "n_classes": 40,
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+ "num_bins": 100
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+ },
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+ "event_driven_summary": {
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+ "num_ticks": 100,
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+ "dt_ms": 50.0,
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+ "acc": 0.9421428571428572,
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+ "anytime_acc": {
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+ "syn_per_inference": 3244711.4707792206,
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+ "dense_per_inference": 122675200.0,
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+ "acc_fused": 0.9421428571428572,
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+ "margin_decision_acc": 0.4471428571428571,
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+ "mean_decision_tick": 12.099285714285715,
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+ "mean_decision_ms": 604.9642857142859,
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+ "dense_forward_test_acc": 0.9421428571428572
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+ },
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+ "extra_sweep_file_present": false,
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+ "selftest": {
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+ "mode": "gate",
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+ "passed": true
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+ },
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+ "driver_version": 1,
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+ "zip": {
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+ "name": "control_baseline.zip",
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+ "files": 80,
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+ "sha256": "7e217471fe06675f01d799cc760f6565432d57e42b13f0c8e1d11077507709cf"
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+ }
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+ }
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