| [ |
| { |
| "key": "original/baseline_reference", |
| "tag": "baseline_reference", |
| "script": "train_ssvep_event_snn.py", |
| "hf_folder": "applied/original", |
| "phase": 1, |
| "status": "ok", |
| "duration_s": 576.1, |
| "optimization_summary": null, |
| "zip": { |
| "name": "baseline_reference.zip", |
| "files": 79, |
| "bytes": 12229960, |
| "MB": 12.2, |
| "sha256": "dbfae2e27e7c61c5d2a5e5d1d0a60eeeb5cac65dca488af8d9e07e91fe8a6bf2" |
| } |
| }, |
| { |
| "key": "opt01_ttfs_dta/control_baseline", |
| "tag": "control_baseline", |
| "script": "opt01_ttfs_dta.py", |
| "hf_folder": "applied/opt01_ttfs_dta", |
| "phase": 1, |
| "status": "ok", |
| "duration_s": 324.9, |
| "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 |
| } |
| }, |
| "zip": { |
| "name": "control_baseline.zip", |
| "files": 80, |
| "bytes": 12262646, |
| "MB": 12.3, |
| "sha256": "c4997d83edc40f945e2bde2e023fbe4d8722960cb38b6b4896a15611c735e03a" |
| } |
| }, |
| { |
| "key": "opt01_ttfs_dta/default", |
| "tag": "default", |
| "script": "opt01_ttfs_dta.py", |
| "hf_folder": "applied/opt01_ttfs_dta", |
| "phase": 1, |
| "status": "ok", |
| "duration_s": 306.3, |
| "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": 0.10785714285714286, |
| "test_target_acc": 0.10785714285714286, |
| "best_val_acc": 0.12642857142857142 |
| }, |
| "efficiency": { |
| "spikes_per_inference": null, |
| "syn_ops_per_inference": 883000.9488636364, |
| "dense_macs_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.007197876578669824, |
| "syn_ops_per_inference_dense_fanout": 28456441.155032467, |
| "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": 92.62014005000765, |
| "infer_ms_per_sample": 0.5975575340625028, |
| "peak_vram_mb": 2909.198336 |
| }, |
| "optimization_specific": { |
| "ttfs": true, |
| "dta": true, |
| "readout": "ttfs", |
| "ttfs_halt_k": 1, |
| "dta_target_rate": 0.05, |
| "dta_momentum": 0.1, |
| "spikes_per_neuron_per_inference": 0.6025234295845998, |
| "ttfs_budget_respected": true, |
| "frac_neurons_that_ever_fire": 0.6025234295845998, |
| "mean_first_spike_tick": 24.776728445988198, |
| "per_layer_ttfs": [ |
| { |
| "layer": 0, |
| "neurons": 320, |
| "spikes_per_neuron_per_inference": 0.8747723214285714, |
| "frac_neurons_that_ever_fire": 0.8747723214285714, |
| "mean_first_spike_tick": 8.497346248258475 |
| }, |
| { |
| "layer": 1, |
| "neurons": 512, |
| "spikes_per_neuron_per_inference": 0.47708565848214285, |
| "frac_neurons_that_ever_fire": 0.47708565848214285, |
| "mean_first_spike_tick": 31.723123035309598 |
| }, |
| { |
| "layer": 2, |
| "neurons": 256, |
| "spikes_per_neuron_per_inference": 0.45130301339285717, |
| "frac_neurons_that_ever_fire": 0.45130301339285717, |
| "mean_first_spike_tick": 42.55322200720879 |
| }, |
| { |
| "layer": 3, |
| "neurons": 40, |
| "spikes_per_neuron_per_inference": 0.9979464285714286, |
| "frac_neurons_that_ever_fire": 0.9979464285714286, |
| "mean_first_spike_tick": 44.9801735707256 |
| } |
| ], |
| "mean_halt_tick": 26.95642857142857, |
| "effective_ticks": 26.95642857142857, |
| "ticks_saved_frac": 0.7304357142857143, |
| "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/default", |
| "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": 0.05, |
| "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 |
| } |
| }, |
| "zip": { |
| "name": "default.zip", |
| "files": 80, |
| "bytes": 12567506, |
| "MB": 12.6, |
| "sha256": "fb707a74ab8ec231a6758240a7f7a2c3ea3f3546dffe53f2c0f20ce254a090c9" |
| } |
| }, |
| { |
| "key": "opt02_seenn_bayes/control_baseline", |
| "tag": "control_baseline", |
| "script": "opt02_seenn_bayes.py", |
| "hf_folder": "applied/opt02_seenn_bayes", |
| "phase": 1, |
| "status": "ok", |
| "duration_s": 320.9, |
| "optimization_summary": { |
| "optimization": "seenn_early_exit_bayesian_fusion", |
| "research_section": "2. Temporal-dimension reduction", |
| "reference": "SEENN: Towards Temporal Spiking Early-Exit Neural Networks, arXiv:2304.01230 (NeurIPS 2023); BayesianSpikeFusion, Front. Neurosci. 2024 (PMC11330889)", |
| "script": "opt02_seenn_bayes.py", |
| "baseline_mode": true, |
| "method": "harmonic_matched", |
| "accuracy": { |
| "test_acc": 0.9421428571428572, |
| "test_target_acc": 0.9421428571428572, |
| "best_val_acc": 0.9464285714285714 |
| }, |
| "efficiency": { |
| "spikes_per_inference": null, |
| "syn_ops_per_inference": 3244711.4707792206, |
| "dense_macs_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.026449612234414294, |
| "syn_ops_per_inference_dense_fanout": 64821329.2573052, |
| "weight_sparsity": 0.7324707846410685, |
| "effective_ticks": 12.099285714285715, |
| "num_ticks": 100, |
| "membrane_bytes_per_inference": 451200, |
| "weight_bytes": 4907008, |
| "input_raster_bytes": null, |
| "train_ms_per_step": 91.90045595169067, |
| "infer_ms_per_sample": 0.6131382294036635, |
| "peak_vram_mb": 10744.00512 |
| }, |
| "optimization_specific": { |
| "seenn_enabled": false, |
| "bayes_fusion_enabled": false, |
| "conf_threshold": 0.9, |
| "conf_temp": 2.0, |
| "anytime_fracs": "1.0", |
| "anytime_weights": "1.0", |
| "ic_loss_weight": 0.0, |
| "ic_layer": 0, |
| "mean_exit_tick": null, |
| "mean_exit_ms": null, |
| "ticks_saved_frac": null, |
| "exit_tick_histogram": null, |
| "acc_fc_only": 0.9421428571428572, |
| "acc_ic_only": null, |
| "acc_fused": 0.9421428571428572, |
| "acc_early_exit": null, |
| "syn_ops_saved_frac": null, |
| "syn_per_inference_early_exit": null, |
| "anytime_acc": { |
| "0.25": 0.6221428571428571, |
| "0.5": 0.8442857142857143, |
| "0.75": 0.9164285714285715, |
| "1.0": 0.9421428571428572 |
| }, |
| "pareto": null |
| }, |
| "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": "spikecount", |
| "fake_quant": 0, |
| "amp": false, |
| "spike_reg": 0.0, |
| "event_eval": true, |
| "decision_margin": 2.0, |
| "export": false, |
| "seed": 1234, |
| "baseline": true, |
| "bench": true, |
| "bench_warmup": 10, |
| "bench_iters": 50, |
| "bench_train_steps": 20, |
| "anytime_fracs": "0.25,0.5,1.0", |
| "anytime_weights": "0.3,0.3,1.0", |
| "ic_layer": 0, |
| "ic_loss_weight": 0.3, |
| "bayes_fusion": false, |
| "fusion_prior_weight": 1.0, |
| "conf_threshold": 0.9, |
| "conf_temp": 2.0, |
| "conf_sweep": "0.5,0.7,0.8,0.9,0.95,0.99", |
| "hub_dir": "/kaggle/working/hub/opt02_seenn_bayes/control_baseline", |
| "repo_id": "UWU-R-13/SSVEP-SNN", |
| "push_hf": false, |
| "keep_epoch_weights": 1, |
| "no_resume": true, |
| "selftest": false, |
| "sampling_rate": 250.0 |
| } |
| }, |
| "zip": { |
| "name": "control_baseline.zip", |
| "files": 80, |
| "bytes": 12251539, |
| "MB": 12.3, |
| "sha256": "7e217471fe06675f01d799cc760f6565432d57e42b13f0c8e1d11077507709cf" |
| } |
| }, |
| { |
| "key": "opt02_seenn_bayes/default", |
| "tag": "default", |
| "script": "opt02_seenn_bayes.py", |
| "hf_folder": "applied/opt02_seenn_bayes", |
| "phase": 1, |
| "status": "ok", |
| "duration_s": 586.1, |
| "optimization_summary": { |
| "optimization": "seenn_early_exit_bayesian_fusion", |
| "research_section": "2. Temporal-dimension reduction", |
| "reference": "SEENN: Towards Temporal Spiking Early-Exit Neural Networks, arXiv:2304.01230 (NeurIPS 2023); BayesianSpikeFusion, Front. Neurosci. 2024 (PMC11330889)", |
| "script": "opt02_seenn_bayes.py", |
| "baseline_mode": false, |
| "method": "harmonic_matched", |
| "accuracy": { |
| "test_acc": 0.9278571428571428, |
| "test_target_acc": 0.9278571428571428, |
| "best_val_acc": 0.9307142857142857 |
| }, |
| "efficiency": { |
| "spikes_per_inference": null, |
| "syn_ops_per_inference": 3638362.4326298703, |
| "dense_macs_per_inference": 123955200.0, |
| "event_fraction_of_dense": 0.029352237200455246, |
| "syn_ops_per_inference_dense_fanout": 65214980.21915584, |
| "weight_sparsity": 0.7324707846410685, |
| "effective_ticks": 7.985, |
| "num_ticks": 100, |
| "membrane_bytes_per_inference": 451200, |
| "weight_bytes": 4907008, |
| "input_raster_bytes": null, |
| "train_ms_per_step": 174.30670261383057, |
| "infer_ms_per_sample": 0.6237456846476799, |
| "peak_vram_mb": 10914.396672, |
| "syn_ops_per_inference_early_exit": 1846599.2897727273 |
| }, |
| "optimization_specific": { |
| "seenn_enabled": true, |
| "bayes_fusion_enabled": true, |
| "conf_threshold": 0.9, |
| "conf_temp": 2.0, |
| "anytime_fracs": "0.25,0.5,1.0", |
| "anytime_weights": "0.3,0.3,1.0", |
| "ic_loss_weight": 0.3, |
| "ic_layer": 0, |
| "mean_exit_tick": 7.985, |
| "mean_exit_ms": 399.25000000000006, |
| "ticks_saved_frac": 0.92015, |
| "exit_tick_histogram": { |
| "counts": [ |
| 1040, |
| 316, |
| 39, |
| 4, |
| 1, |
| 0, |
| 0, |
| 0, |
| 0, |
| 0 |
| ], |
| "edges": [ |
| 0.0, |
| 10.0, |
| 20.0, |
| 30.0, |
| 40.0, |
| 50.0, |
| 60.0, |
| 70.0, |
| 80.0, |
| 90.0, |
| 100.0 |
| ] |
| }, |
| "acc_fc_only": 0.9278571428571428, |
| "acc_ic_only": 0.935, |
| "acc_fused": 0.9378571428571428, |
| "acc_early_exit": 0.3578571428571429, |
| "syn_ops_saved_frac": 0.49246417200994075, |
| "syn_per_inference_early_exit": 1846599.2897727273, |
| "anytime_acc": { |
| "0.25": 0.6228571428571429, |
| "0.5": 0.8078571428571428, |
| "0.75": 0.8885714285714286, |
| "1.0": 0.9278571428571428 |
| }, |
| "pareto": [ |
| { |
| "conf": 0.5, |
| "mean_ticks": 4.405, |
| "acc": 0.22785714285714287, |
| "syn_ops": 1715995.05762987 |
| }, |
| { |
| "conf": 0.7, |
| "mean_ticks": 5.097857142857142, |
| "acc": 0.25285714285714284, |
| "syn_ops": 1744549.8368506492 |
| }, |
| { |
| "conf": 0.8, |
| "mean_ticks": 5.984285714285714, |
| "acc": 0.28285714285714286, |
| "syn_ops": 1779479.5024350649 |
| }, |
| { |
| "conf": 0.9, |
| "mean_ticks": 7.984285714285714, |
| "acc": 0.3578571428571429, |
| "syn_ops": 1846555.8522727273 |
| }, |
| { |
| "conf": 0.95, |
| "mean_ticks": 10.01142857142857, |
| "acc": 0.42857142857142855, |
| "syn_ops": 1902723.0324675327 |
| }, |
| { |
| "conf": 0.99, |
| "mean_ticks": 14.458571428571428, |
| "acc": 0.5621428571428572, |
| "syn_ops": 2004484.2800324673 |
| } |
| ] |
| }, |
| "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": "spikecount", |
| "fake_quant": 0, |
| "amp": false, |
| "spike_reg": 0.0, |
| "event_eval": true, |
| "decision_margin": 2.0, |
| "export": false, |
| "seed": 1234, |
| "baseline": false, |
| "bench": true, |
| "bench_warmup": 10, |
| "bench_iters": 50, |
| "bench_train_steps": 20, |
| "anytime_fracs": "0.25,0.5,1.0", |
| "anytime_weights": "0.3,0.3,1.0", |
| "ic_layer": 0, |
| "ic_loss_weight": 0.3, |
| "bayes_fusion": true, |
| "fusion_prior_weight": 1.0, |
| "conf_threshold": 0.9, |
| "conf_temp": 2.0, |
| "conf_sweep": "0.5,0.7,0.8,0.9,0.95,0.99", |
| "hub_dir": "/kaggle/working/hub/opt02_seenn_bayes/default", |
| "repo_id": "UWU-R-13/SSVEP-SNN", |
| "push_hf": false, |
| "keep_epoch_weights": 1, |
| "no_resume": true, |
| "selftest": false, |
| "sampling_rate": 250.0 |
| } |
| }, |
| "zip": { |
| "name": "default.zip", |
| "files": 81, |
| "bytes": 12636571, |
| "MB": 12.6, |
| "sha256": "1c64c6704af63b5eec37b2f1d2e824ba1c5c3c28328c5b1c03089bd12b4cc747" |
| } |
| }, |
| { |
| "key": "opt02_seenn_bayes/conf_sweep_fine", |
| "tag": "conf_sweep_fine", |
| "script": "opt02_seenn_bayes.py", |
| "hf_folder": "applied/opt02_seenn_bayes", |
| "phase": 7, |
| "status": "ok", |
| "duration_s": 909.8, |
| "optimization_summary": { |
| "optimization": "seenn_early_exit_bayesian_fusion", |
| "research_section": "2. Temporal-dimension reduction", |
| "reference": "SEENN: Towards Temporal Spiking Early-Exit Neural Networks, arXiv:2304.01230 (NeurIPS 2023); BayesianSpikeFusion, Front. Neurosci. 2024 (PMC11330889)", |
| "script": "opt02_seenn_bayes.py", |
| "baseline_mode": false, |
| "method": "harmonic_matched", |
| "accuracy": { |
| "test_acc": 0.9342857142857143, |
| "test_target_acc": 0.9342857142857143, |
| "best_val_acc": 0.9285714285714286 |
| }, |
| "efficiency": { |
| "spikes_per_inference": null, |
| "syn_ops_per_inference": 3615247.340909091, |
| "dense_macs_per_inference": 123955200.0, |
| "event_fraction_of_dense": 0.02916575779724522, |
| "syn_ops_per_inference_dense_fanout": 65191865.127435066, |
| "weight_sparsity": 0.7324707846410685, |
| "effective_ticks": 8.057142857142857, |
| "num_ticks": 100, |
| "membrane_bytes_per_inference": 451200, |
| "weight_bytes": 4907008, |
| "input_raster_bytes": null, |
| "train_ms_per_step": 180.51012754440308, |
| "infer_ms_per_sample": 0.6378180717104044, |
| "peak_vram_mb": 10915.470336, |
| "syn_ops_per_inference_early_exit": 1822430.1501623376 |
| }, |
| "optimization_specific": { |
| "seenn_enabled": true, |
| "bayes_fusion_enabled": true, |
| "conf_threshold": 0.9, |
| "conf_temp": 2.0, |
| "anytime_fracs": "0.25,0.5,1.0", |
| "anytime_weights": "0.3,0.3,1.0", |
| "ic_loss_weight": 0.3, |
| "ic_layer": 0, |
| "mean_exit_tick": 8.057142857142857, |
| "mean_exit_ms": 402.85714285714283, |
| "ticks_saved_frac": 0.9194285714285715, |
| "exit_tick_histogram": { |
| "counts": [ |
| 1022, |
| 331, |
| 39, |
| 5, |
| 3, |
| 0, |
| 0, |
| 0, |
| 0, |
| 0 |
| ], |
| "edges": [ |
| 0.0, |
| 10.0, |
| 20.0, |
| 30.0, |
| 40.0, |
| 50.0, |
| 60.0, |
| 70.0, |
| 80.0, |
| 90.0, |
| 100.0 |
| ] |
| }, |
| "acc_fc_only": 0.9342857142857143, |
| "acc_ic_only": 0.9292857142857143, |
| "acc_fused": 0.94, |
| "acc_early_exit": 0.37714285714285717, |
| "syn_ops_saved_frac": 0.49590443521242755, |
| "syn_per_inference_early_exit": 1822430.1501623376, |
| "anytime_acc": { |
| "0.25": 0.615, |
| "0.5": 0.8142857142857143, |
| "0.75": 0.895, |
| "1.0": 0.9342857142857143 |
| }, |
| "pareto": [ |
| { |
| "conf": 0.3, |
| "mean_ticks": 2.82, |
| "acc": 0.17142857142857143, |
| "syn_ops": 1600944.0178571427 |
| }, |
| { |
| "conf": 0.4, |
| "mean_ticks": 3.285, |
| "acc": 0.18571428571428572, |
| "syn_ops": 1629355.7386363635 |
| }, |
| { |
| "conf": 0.5, |
| "mean_ticks": 4.3757142857142854, |
| "acc": 0.24285714285714285, |
| "syn_ops": 1687021.986201299 |
| }, |
| { |
| "conf": 0.6, |
| "mean_ticks": 4.670714285714285, |
| "acc": 0.2507142857142857, |
| "syn_ops": 1699344.8084415584 |
| }, |
| { |
| "conf": 0.7, |
| "mean_ticks": 5.075714285714286, |
| "acc": 0.26285714285714284, |
| "syn_ops": 1716703.7767857143 |
| }, |
| { |
| "conf": 0.8, |
| "mean_ticks": 5.987857142857143, |
| "acc": 0.2914285714285714, |
| "syn_ops": 1753268.2150974027 |
| }, |
| { |
| "conf": 0.9, |
| "mean_ticks": 8.057142857142857, |
| "acc": 0.37714285714285717, |
| "syn_ops": 1822430.0933441557 |
| }, |
| { |
| "conf": 0.95, |
| "mean_ticks": 10.176428571428572, |
| "acc": 0.45, |
| "syn_ops": 1882071.5430194808 |
| }, |
| { |
| "conf": 0.99, |
| "mean_ticks": 14.704285714285714, |
| "acc": 0.5742857142857143, |
| "syn_ops": 1981175.7142857143 |
| }, |
| { |
| "conf": 0.999, |
| "mean_ticks": 19.547142857142855, |
| "acc": 0.68, |
| "syn_ops": 2074480.44237013 |
| } |
| ] |
| }, |
| "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": "spikecount", |
| "fake_quant": 0, |
| "amp": false, |
| "spike_reg": 0.0, |
| "event_eval": true, |
| "decision_margin": 2.0, |
| "export": false, |
| "seed": 1234, |
| "baseline": false, |
| "bench": true, |
| "bench_warmup": 10, |
| "bench_iters": 50, |
| "bench_train_steps": 20, |
| "anytime_fracs": "0.25,0.5,1.0", |
| "anytime_weights": "0.3,0.3,1.0", |
| "ic_layer": 0, |
| "ic_loss_weight": 0.3, |
| "bayes_fusion": true, |
| "fusion_prior_weight": 1.0, |
| "conf_threshold": 0.9, |
| "conf_temp": 2.0, |
| "conf_sweep": "0.3,0.4,0.5,0.6,0.7,0.8,0.9,0.95,0.99,0.999", |
| "hub_dir": "/kaggle/working/hub/opt02_seenn_bayes/conf_sweep_fine", |
| "repo_id": "UWU-R-13/SSVEP-SNN", |
| "push_hf": false, |
| "keep_epoch_weights": 1, |
| "no_resume": true, |
| "selftest": false, |
| "sampling_rate": 250.0 |
| } |
| }, |
| "zip": { |
| "name": "conf_sweep_fine.zip", |
| "files": 81, |
| "bytes": 12637373, |
| "MB": 12.6, |
| "sha256": "e33a7b3b8947f0b0a5fd13a441d22f8068a82f8246738956132681351836f98c" |
| } |
| }, |
| { |
| "key": "opt02_seenn_bayes/conf_temp_16", |
| "tag": "conf_temp_16", |
| "script": "opt02_seenn_bayes.py", |
| "hf_folder": "applied/opt02_seenn_bayes", |
| "phase": 7, |
| "status": "ok", |
| "duration_s": 613.7, |
| "optimization_summary": { |
| "optimization": "seenn_early_exit_bayesian_fusion", |
| "research_section": "2. Temporal-dimension reduction", |
| "reference": "SEENN: Towards Temporal Spiking Early-Exit Neural Networks, arXiv:2304.01230 (NeurIPS 2023); BayesianSpikeFusion, Front. Neurosci. 2024 (PMC11330889)", |
| "script": "opt02_seenn_bayes.py", |
| "baseline_mode": false, |
| "method": "harmonic_matched", |
| "accuracy": { |
| "test_acc": 0.9278571428571428, |
| "test_target_acc": 0.9278571428571428, |
| "best_val_acc": 0.9278571428571428 |
| }, |
| "efficiency": { |
| "spikes_per_inference": null, |
| "syn_ops_per_inference": 3658814.530844156, |
| "dense_macs_per_inference": 123955200.0, |
| "event_fraction_of_dense": 0.02951723308779427, |
| "syn_ops_per_inference_dense_fanout": 65235432.31737013, |
| "weight_sparsity": 0.7324707846410685, |
| "effective_ticks": 4.197857142857143, |
| "num_ticks": 100, |
| "membrane_bytes_per_inference": 451200, |
| "weight_bytes": 4907008, |
| "input_raster_bytes": null, |
| "train_ms_per_step": 187.19353675842285, |
| "infer_ms_per_sample": 0.6553214698580642, |
| "peak_vram_mb": 10914.399232, |
| "syn_ops_per_inference_early_exit": 1722971.6599025973 |
| }, |
| "optimization_specific": { |
| "seenn_enabled": true, |
| "bayes_fusion_enabled": true, |
| "conf_threshold": 0.9, |
| "conf_temp": 16.0, |
| "anytime_fracs": "0.25,0.5,1.0", |
| "anytime_weights": "0.3,0.3,1.0", |
| "ic_loss_weight": 0.3, |
| "ic_layer": 0, |
| "mean_exit_tick": 4.197857142857143, |
| "mean_exit_ms": 209.89285714285717, |
| "ticks_saved_frac": 0.9580214285714286, |
| "exit_tick_histogram": { |
| "counts": [ |
| 1368, |
| 26, |
| 3, |
| 2, |
| 1, |
| 0, |
| 0, |
| 0, |
| 0, |
| 0 |
| ], |
| "edges": [ |
| 0.0, |
| 10.0, |
| 20.0, |
| 30.0, |
| 40.0, |
| 50.0, |
| 60.0, |
| 70.0, |
| 80.0, |
| 90.0, |
| 100.0 |
| ] |
| }, |
| "acc_fc_only": 0.9278571428571428, |
| "acc_ic_only": 0.935, |
| "acc_fused": 0.94, |
| "acc_early_exit": 0.2257142857142857, |
| "syn_ops_saved_frac": 0.5290901888090305, |
| "syn_per_inference_early_exit": 1722971.6599025973, |
| "anytime_acc": { |
| "0.25": 0.6042857142857143, |
| "0.5": 0.8057142857142857, |
| "0.75": 0.8885714285714286, |
| "1.0": 0.9278571428571428 |
| }, |
| "pareto": [ |
| { |
| "conf": 0.5, |
| "mean_ticks": 2.979285714285714, |
| "acc": 0.18857142857142858, |
| "syn_ops": 1660596.797077922 |
| }, |
| { |
| "conf": 0.7, |
| "mean_ticks": 4.196428571428571, |
| "acc": 0.2257142857142857, |
| "syn_ops": 1722894.4212662338 |
| }, |
| { |
| "conf": 0.8, |
| "mean_ticks": 4.196428571428571, |
| "acc": 0.2257142857142857, |
| "syn_ops": 1722894.1939935065 |
| }, |
| { |
| "conf": 0.9, |
| "mean_ticks": 4.197857142857143, |
| "acc": 0.2257142857142857, |
| "syn_ops": 1722971.7207792208 |
| }, |
| { |
| "conf": 0.95, |
| "mean_ticks": 4.199285714285714, |
| "acc": 0.2257142857142857, |
| "syn_ops": 1723035.8133116884 |
| }, |
| { |
| "conf": 0.99, |
| "mean_ticks": 4.243571428571428, |
| "acc": 0.22642857142857142, |
| "syn_ops": 1724673.6931818181 |
| } |
| ] |
| }, |
| "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": "spikecount", |
| "fake_quant": 0, |
| "amp": false, |
| "spike_reg": 0.0, |
| "event_eval": true, |
| "decision_margin": 2.0, |
| "export": false, |
| "seed": 1234, |
| "baseline": false, |
| "bench": true, |
| "bench_warmup": 10, |
| "bench_iters": 50, |
| "bench_train_steps": 20, |
| "anytime_fracs": "0.25,0.5,1.0", |
| "anytime_weights": "0.3,0.3,1.0", |
| "ic_layer": 0, |
| "ic_loss_weight": 0.3, |
| "bayes_fusion": true, |
| "fusion_prior_weight": 1.0, |
| "conf_threshold": 0.9, |
| "conf_temp": 16.0, |
| "conf_sweep": "0.5,0.7,0.8,0.9,0.95,0.99", |
| "hub_dir": "/kaggle/working/hub/opt02_seenn_bayes/conf_temp_16", |
| "repo_id": "UWU-R-13/SSVEP-SNN", |
| "push_hf": false, |
| "keep_epoch_weights": 1, |
| "no_resume": true, |
| "selftest": false, |
| "sampling_rate": 250.0 |
| } |
| }, |
| "zip": { |
| "name": "conf_temp_16.zip", |
| "files": 81, |
| "bytes": 12637814, |
| "MB": 12.6, |
| "sha256": "d302c2ff3a0a7090de4ff36762170bca52ef860f9f4f098a3fde82a954059161" |
| } |
| }, |
| { |
| "key": "opt02_seenn_bayes/conf_temp_4", |
| "tag": "conf_temp_4", |
| "script": "opt02_seenn_bayes.py", |
| "hf_folder": "applied/opt02_seenn_bayes", |
| "phase": 7, |
| "status": "ok", |
| "duration_s": 616.4, |
| "optimization_summary": { |
| "optimization": "seenn_early_exit_bayesian_fusion", |
| "research_section": "2. Temporal-dimension reduction", |
| "reference": "SEENN: Towards Temporal Spiking Early-Exit Neural Networks, arXiv:2304.01230 (NeurIPS 2023); BayesianSpikeFusion, Front. Neurosci. 2024 (PMC11330889)", |
| "script": "opt02_seenn_bayes.py", |
| "baseline_mode": false, |
| "method": "harmonic_matched", |
| "accuracy": { |
| "test_acc": 0.9278571428571428, |
| "test_target_acc": 0.9278571428571428, |
| "best_val_acc": 0.9264285714285714 |
| }, |
| "efficiency": { |
| "spikes_per_inference": null, |
| "syn_ops_per_inference": 3638325.674512987, |
| "dense_macs_per_inference": 123955200.0, |
| "event_fraction_of_dense": 0.029351940656890448, |
| "syn_ops_per_inference_dense_fanout": 65214943.461038955, |
| "weight_sparsity": 0.7324707846410685, |
| "effective_ticks": 4.575714285714286, |
| "num_ticks": 100, |
| "membrane_bytes_per_inference": 451200, |
| "weight_bytes": 4907008, |
| "input_raster_bytes": null, |
| "train_ms_per_step": 187.23959922790527, |
| "infer_ms_per_sample": 0.6532642859310361, |
| "peak_vram_mb": 10914.677248, |
| "syn_ops_per_inference_early_exit": 1640777.8961038962 |
| }, |
| "optimization_specific": { |
| "seenn_enabled": true, |
| "bayes_fusion_enabled": true, |
| "conf_threshold": 0.9, |
| "conf_temp": 4.0, |
| "anytime_fracs": "0.25,0.5,1.0", |
| "anytime_weights": "0.3,0.3,1.0", |
| "ic_loss_weight": 0.3, |
| "ic_layer": 0, |
| "mean_exit_tick": 4.575714285714286, |
| "mean_exit_ms": 228.78571428571428, |
| "ticks_saved_frac": 0.9542428571428572, |
| "exit_tick_histogram": { |
| "counts": [ |
| 1339, |
| 54, |
| 5, |
| 2, |
| 0, |
| 0, |
| 0, |
| 0, |
| 0, |
| 0 |
| ], |
| "edges": [ |
| 0.0, |
| 10.0, |
| 20.0, |
| 30.0, |
| 40.0, |
| 50.0, |
| 60.0, |
| 70.0, |
| 80.0, |
| 90.0, |
| 100.0 |
| ] |
| }, |
| "acc_fc_only": 0.9278571428571428, |
| "acc_ic_only": 0.9364285714285714, |
| "acc_fused": 0.935, |
| "acc_early_exit": 0.25214285714285717, |
| "syn_ops_saved_frac": 0.5490294044874021, |
| "syn_per_inference_early_exit": 1640777.8961038962, |
| "anytime_acc": { |
| "0.25": 0.62, |
| "0.5": 0.8178571428571428, |
| "0.75": 0.8885714285714286, |
| "1.0": 0.9278571428571428 |
| }, |
| "pareto": [ |
| { |
| "conf": 0.5, |
| "mean_ticks": 3.902142857142857, |
| "acc": 0.22357142857142856, |
| "syn_ops": 1613080.9172077922 |
| }, |
| { |
| "conf": 0.7, |
| "mean_ticks": 4.2371428571428575, |
| "acc": 0.23857142857142857, |
| "syn_ops": 1626802.577922078 |
| }, |
| { |
| "conf": 0.8, |
| "mean_ticks": 4.365, |
| "acc": 0.245, |
| "syn_ops": 1632438.9545454546 |
| }, |
| { |
| "conf": 0.9, |
| "mean_ticks": 4.575714285714286, |
| "acc": 0.25214285714285717, |
| "syn_ops": 1640777.924512987 |
| }, |
| { |
| "conf": 0.95, |
| "mean_ticks": 4.854285714285714, |
| "acc": 0.26071428571428573, |
| "syn_ops": 1651982.8961038962 |
| }, |
| { |
| "conf": 0.99, |
| "mean_ticks": 6.857857142857143, |
| "acc": 0.3357142857142857, |
| "syn_ops": 1728711.8571428573 |
| } |
| ] |
| }, |
| "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": "spikecount", |
| "fake_quant": 0, |
| "amp": false, |
| "spike_reg": 0.0, |
| "event_eval": true, |
| "decision_margin": 2.0, |
| "export": false, |
| "seed": 1234, |
| "baseline": false, |
| "bench": true, |
| "bench_warmup": 10, |
| "bench_iters": 50, |
| "bench_train_steps": 20, |
| "anytime_fracs": "0.25,0.5,1.0", |
| "anytime_weights": "0.3,0.3,1.0", |
| "ic_layer": 0, |
| "ic_loss_weight": 0.3, |
| "bayes_fusion": true, |
| "fusion_prior_weight": 1.0, |
| "conf_threshold": 0.9, |
| "conf_temp": 4.0, |
| "conf_sweep": "0.5,0.7,0.8,0.9,0.95,0.99", |
| "hub_dir": "/kaggle/working/hub/opt02_seenn_bayes/conf_temp_4", |
| "repo_id": "UWU-R-13/SSVEP-SNN", |
| "push_hf": false, |
| "keep_epoch_weights": 1, |
| "no_resume": true, |
| "selftest": false, |
| "sampling_rate": 250.0 |
| } |
| }, |
| "zip": { |
| "name": "conf_temp_4.zip", |
| "files": 81, |
| "bytes": 12640717, |
| "MB": 12.6, |
| "sha256": "a9f16ef1db8ee6c4c51113bece56694dc7dd17feb4b73d57c99a3dad1b66ca71" |
| } |
| }, |
| { |
| "key": "opt02_seenn_bayes/fusion_prior_2x", |
| "tag": "fusion_prior_2x", |
| "script": "opt02_seenn_bayes.py", |
| "hf_folder": "applied/opt02_seenn_bayes", |
| "phase": 7, |
| "status": "ok", |
| "duration_s": 609.0, |
| "optimization_summary": { |
| "optimization": "seenn_early_exit_bayesian_fusion", |
| "research_section": "2. Temporal-dimension reduction", |
| "reference": "SEENN: Towards Temporal Spiking Early-Exit Neural Networks, arXiv:2304.01230 (NeurIPS 2023); BayesianSpikeFusion, Front. Neurosci. 2024 (PMC11330889)", |
| "script": "opt02_seenn_bayes.py", |
| "baseline_mode": false, |
| "method": "harmonic_matched", |
| "accuracy": { |
| "test_acc": 0.9271428571428572, |
| "test_target_acc": 0.9271428571428572, |
| "best_val_acc": 0.9307142857142857 |
| }, |
| "efficiency": { |
| "spikes_per_inference": null, |
| "syn_ops_per_inference": 3657479.1964285714, |
| "dense_macs_per_inference": 123955200.0, |
| "event_fraction_of_dense": 0.02950646036978337, |
| "syn_ops_per_inference_dense_fanout": 65234096.98295455, |
| "weight_sparsity": 0.7324707846410685, |
| "effective_ticks": 7.784285714285715, |
| "num_ticks": 100, |
| "membrane_bytes_per_inference": 451200, |
| "weight_bytes": 4907008, |
| "input_raster_bytes": null, |
| "train_ms_per_step": 185.8240008354187, |
| "infer_ms_per_sample": 0.6510175053198733, |
| "peak_vram_mb": 10914.386944, |
| "syn_ops_per_inference_early_exit": 1785947.325487013 |
| }, |
| "optimization_specific": { |
| "seenn_enabled": true, |
| "bayes_fusion_enabled": true, |
| "conf_threshold": 0.9, |
| "conf_temp": 2.0, |
| "anytime_fracs": "0.25,0.5,1.0", |
| "anytime_weights": "0.3,0.3,1.0", |
| "ic_loss_weight": 0.3, |
| "ic_layer": 0, |
| "mean_exit_tick": 7.784285714285715, |
| "mean_exit_ms": 389.2142857142857, |
| "ticks_saved_frac": 0.9221571428571429, |
| "exit_tick_histogram": { |
| "counts": [ |
| 1048, |
| 306, |
| 34, |
| 11, |
| 1, |
| 0, |
| 0, |
| 0, |
| 0, |
| 0 |
| ], |
| "edges": [ |
| 0.0, |
| 10.0, |
| 20.0, |
| 30.0, |
| 40.0, |
| 50.0, |
| 60.0, |
| 70.0, |
| 80.0, |
| 90.0, |
| 100.0 |
| ] |
| }, |
| "acc_fc_only": 0.9271428571428572, |
| "acc_ic_only": 0.9357142857142857, |
| "acc_fused": 0.9357142857142857, |
| "acc_early_exit": 0.37714285714285717, |
| "syn_ops_saved_frac": 0.5116999360567951, |
| "syn_per_inference_early_exit": 1785947.325487013, |
| "anytime_acc": { |
| "0.25": 0.6264285714285714, |
| "0.5": 0.8178571428571428, |
| "0.75": 0.8921428571428571, |
| "1.0": 0.9271428571428572 |
| }, |
| "pareto": [ |
| { |
| "conf": 0.5, |
| "mean_ticks": 4.289285714285715, |
| "acc": 0.24571428571428572, |
| "syn_ops": 1647281.4212662338 |
| }, |
| { |
| "conf": 0.7, |
| "mean_ticks": 4.978571428571429, |
| "acc": 0.275, |
| "syn_ops": 1678001.2727272727 |
| }, |
| { |
| "conf": 0.8, |
| "mean_ticks": 5.852857142857143, |
| "acc": 0.3028571428571429, |
| "syn_ops": 1714795.320616883 |
| }, |
| { |
| "conf": 0.9, |
| "mean_ticks": 7.785, |
| "acc": 0.37714285714285717, |
| "syn_ops": 1785960.5300324673 |
| }, |
| { |
| "conf": 0.95, |
| "mean_ticks": 10.002142857142857, |
| "acc": 0.45071428571428573, |
| "syn_ops": 1850843.49512987 |
| }, |
| { |
| "conf": 0.99, |
| "mean_ticks": 14.499285714285714, |
| "acc": 0.5742857142857143, |
| "syn_ops": 1959679.1558441557 |
| } |
| ] |
| }, |
| "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": "spikecount", |
| "fake_quant": 0, |
| "amp": false, |
| "spike_reg": 0.0, |
| "event_eval": true, |
| "decision_margin": 2.0, |
| "export": false, |
| "seed": 1234, |
| "baseline": false, |
| "bench": true, |
| "bench_warmup": 10, |
| "bench_iters": 50, |
| "bench_train_steps": 20, |
| "anytime_fracs": "0.25,0.5,1.0", |
| "anytime_weights": "0.3,0.3,1.0", |
| "ic_layer": 0, |
| "ic_loss_weight": 0.3, |
| "bayes_fusion": true, |
| "fusion_prior_weight": 2.0, |
| "conf_threshold": 0.9, |
| "conf_temp": 2.0, |
| "conf_sweep": "0.5,0.7,0.8,0.9,0.95,0.99", |
| "hub_dir": "/kaggle/working/hub/opt02_seenn_bayes/fusion_prior_2x", |
| "repo_id": "UWU-R-13/SSVEP-SNN", |
| "push_hf": false, |
| "keep_epoch_weights": 1, |
| "no_resume": true, |
| "selftest": false, |
| "sampling_rate": 250.0 |
| } |
| }, |
| "zip": { |
| "name": "fusion_prior_2x.zip", |
| "files": 81, |
| "bytes": 12637636, |
| "MB": 12.6, |
| "sha256": "fc6050fb762f5c1e2b45dd261c259362087f7598c1df1884b7b7b97c019e13f4" |
| } |
| }, |
| { |
| "key": "opt02_seenn_bayes/ic_layer_1", |
| "tag": "ic_layer_1", |
| "script": "opt02_seenn_bayes.py", |
| "hf_folder": "applied/opt02_seenn_bayes", |
| "phase": 7, |
| "status": "ok", |
| "duration_s": 609.7, |
| "optimization_summary": { |
| "optimization": "seenn_early_exit_bayesian_fusion", |
| "research_section": "2. Temporal-dimension reduction", |
| "reference": "SEENN: Towards Temporal Spiking Early-Exit Neural Networks, arXiv:2304.01230 (NeurIPS 2023); BayesianSpikeFusion, Front. Neurosci. 2024 (PMC11330889)", |
| "script": "opt02_seenn_bayes.py", |
| "baseline_mode": false, |
| "method": "harmonic_matched", |
| "accuracy": { |
| "test_acc": 0.9278571428571428, |
| "test_target_acc": 0.9278571428571428, |
| "best_val_acc": 0.9321428571428572 |
| }, |
| "efficiency": { |
| "spikes_per_inference": null, |
| "syn_ops_per_inference": 3613774.1201298703, |
| "dense_macs_per_inference": 124723200.0, |
| "event_fraction_of_dense": 0.02897435377002731, |
| "syn_ops_per_inference_dense_fanout": 65190391.90665584, |
| "weight_sparsity": 0.7324707846410685, |
| "effective_ticks": 8.52, |
| "num_ticks": 100, |
| "membrane_bytes_per_inference": 451200, |
| "weight_bytes": 4907008, |
| "input_raster_bytes": null, |
| "train_ms_per_step": 185.69024801254272, |
| "infer_ms_per_sample": 0.6491338937126812, |
| "peak_vram_mb": 10916.063744, |
| "syn_ops_per_inference_early_exit": 1842881.0933441557 |
| }, |
| "optimization_specific": { |
| "seenn_enabled": true, |
| "bayes_fusion_enabled": true, |
| "conf_threshold": 0.9, |
| "conf_temp": 2.0, |
| "anytime_fracs": "0.25,0.5,1.0", |
| "anytime_weights": "0.3,0.3,1.0", |
| "ic_loss_weight": 0.3, |
| "ic_layer": 1, |
| "mean_exit_tick": 8.52, |
| "mean_exit_ms": 426.0, |
| "ticks_saved_frac": 0.9148000000000001, |
| "exit_tick_histogram": { |
| "counts": [ |
| 970, |
| 375, |
| 48, |
| 7, |
| 0, |
| 0, |
| 0, |
| 0, |
| 0, |
| 0 |
| ], |
| "edges": [ |
| 0.0, |
| 10.0, |
| 20.0, |
| 30.0, |
| 40.0, |
| 50.0, |
| 60.0, |
| 70.0, |
| 80.0, |
| 90.0, |
| 100.0 |
| ] |
| }, |
| "acc_fc_only": 0.9278571428571428, |
| "acc_ic_only": 0.935, |
| "acc_fused": 0.935, |
| "acc_early_exit": 0.39785714285714285, |
| "syn_ops_saved_frac": 0.4900397667140505, |
| "syn_per_inference_early_exit": 1842881.0933441557, |
| "anytime_acc": { |
| "0.25": 0.6442857142857142, |
| "0.5": 0.8335714285714285, |
| "0.75": 0.8935714285714286, |
| "1.0": 0.9278571428571428 |
| }, |
| "pareto": [ |
| { |
| "conf": 0.5, |
| "mean_ticks": 3.99, |
| "acc": 0.2307142857142857, |
| "syn_ops": 1674774.195616883 |
| }, |
| { |
| "conf": 0.7, |
| "mean_ticks": 5.156428571428571, |
| "acc": 0.2742857142857143, |
| "syn_ops": 1725540.0787337662 |
| }, |
| { |
| "conf": 0.8, |
| "mean_ticks": 6.271428571428571, |
| "acc": 0.32, |
| "syn_ops": 1770739.0535714284 |
| }, |
| { |
| "conf": 0.9, |
| "mean_ticks": 8.519285714285715, |
| "acc": 0.39785714285714285, |
| "syn_ops": 1842866.4797077922 |
| }, |
| { |
| "conf": 0.95, |
| "mean_ticks": 10.811428571428571, |
| "acc": 0.4764285714285714, |
| "syn_ops": 1903597.862012987 |
| }, |
| { |
| "conf": 0.99, |
| "mean_ticks": 14.98857142857143, |
| "acc": 0.5942857142857143, |
| "syn_ops": 1996385.5430194808 |
| } |
| ] |
| }, |
| "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": "spikecount", |
| "fake_quant": 0, |
| "amp": false, |
| "spike_reg": 0.0, |
| "event_eval": true, |
| "decision_margin": 2.0, |
| "export": false, |
| "seed": 1234, |
| "baseline": false, |
| "bench": true, |
| "bench_warmup": 10, |
| "bench_iters": 50, |
| "bench_train_steps": 20, |
| "anytime_fracs": "0.25,0.5,1.0", |
| "anytime_weights": "0.3,0.3,1.0", |
| "ic_layer": 1, |
| "ic_loss_weight": 0.3, |
| "bayes_fusion": true, |
| "fusion_prior_weight": 1.0, |
| "conf_threshold": 0.9, |
| "conf_temp": 2.0, |
| "conf_sweep": "0.5,0.7,0.8,0.9,0.95,0.99", |
| "hub_dir": "/kaggle/working/hub/opt02_seenn_bayes/ic_layer_1", |
| "repo_id": "UWU-R-13/SSVEP-SNN", |
| "push_hf": false, |
| "keep_epoch_weights": 1, |
| "no_resume": true, |
| "selftest": false, |
| "sampling_rate": 250.0 |
| } |
| }, |
| "zip": { |
| "name": "ic_layer_1.zip", |
| "files": 81, |
| "bytes": 12859971, |
| "MB": 12.9, |
| "sha256": "98a8ce45dac9959cbbf7cd753b3711e1819bd3c4c7d767ae7eb71ba456bc39eb" |
| } |
| }, |
| { |
| "key": "opt02_seenn_bayes/ic_loss_0.1", |
| "tag": "ic_loss_0.1", |
| "script": "opt02_seenn_bayes.py", |
| "hf_folder": "applied/opt02_seenn_bayes", |
| "phase": 7, |
| "status": "ok", |
| "duration_s": 606.7, |
| "optimization_summary": { |
| "optimization": "seenn_early_exit_bayesian_fusion", |
| "research_section": "2. Temporal-dimension reduction", |
| "reference": "SEENN: Towards Temporal Spiking Early-Exit Neural Networks, arXiv:2304.01230 (NeurIPS 2023); BayesianSpikeFusion, Front. Neurosci. 2024 (PMC11330889)", |
| "script": "opt02_seenn_bayes.py", |
| "baseline_mode": false, |
| "method": "harmonic_matched", |
| "accuracy": { |
| "test_acc": 0.9271428571428572, |
| "test_target_acc": 0.9271428571428572, |
| "best_val_acc": 0.9242857142857143 |
| }, |
| "efficiency": { |
| "spikes_per_inference": null, |
| "syn_ops_per_inference": 3436030.0146103892, |
| "dense_macs_per_inference": 123955200.0, |
| "event_fraction_of_dense": 0.027719934416711757, |
| "syn_ops_per_inference_dense_fanout": 65012647.80113637, |
| "weight_sparsity": 0.7324707846410685, |
| "effective_ticks": 7.478571428571429, |
| "num_ticks": 100, |
| "membrane_bytes_per_inference": 451200, |
| "weight_bytes": 4907008, |
| "input_raster_bytes": null, |
| "train_ms_per_step": 184.88277196884155, |
| "infer_ms_per_sample": 0.6457533518872668, |
| "peak_vram_mb": 10912.55296, |
| "syn_ops_per_inference_early_exit": 1629213.7150974027 |
| }, |
| "optimization_specific": { |
| "seenn_enabled": true, |
| "bayes_fusion_enabled": true, |
| "conf_threshold": 0.9, |
| "conf_temp": 2.0, |
| "anytime_fracs": "0.25,0.5,1.0", |
| "anytime_weights": "0.3,0.3,1.0", |
| "ic_loss_weight": 0.1, |
| "ic_layer": 0, |
| "mean_exit_tick": 7.478571428571429, |
| "mean_exit_ms": 373.92857142857144, |
| "ticks_saved_frac": 0.9252142857142858, |
| "exit_tick_histogram": { |
| "counts": [ |
| 1079, |
| 270, |
| 43, |
| 7, |
| 1, |
| 0, |
| 0, |
| 0, |
| 0, |
| 0 |
| ], |
| "edges": [ |
| 0.0, |
| 10.0, |
| 20.0, |
| 30.0, |
| 40.0, |
| 50.0, |
| 60.0, |
| 70.0, |
| 80.0, |
| 90.0, |
| 100.0 |
| ] |
| }, |
| "acc_fc_only": 0.9271428571428572, |
| "acc_ic_only": 0.9357142857142857, |
| "acc_fused": 0.9314285714285714, |
| "acc_early_exit": 0.3657142857142857, |
| "syn_ops_saved_frac": 0.5258441549783321, |
| "syn_per_inference_early_exit": 1629213.7150974027, |
| "anytime_acc": { |
| "0.25": 0.6142857142857143, |
| "0.5": 0.825, |
| "0.75": 0.89, |
| "1.0": 0.9271428571428572 |
| }, |
| "pareto": [ |
| { |
| "conf": 0.5, |
| "mean_ticks": 4.1292857142857144, |
| "acc": 0.23142857142857143, |
| "syn_ops": 1500398.4293831168 |
| }, |
| { |
| "conf": 0.7, |
| "mean_ticks": 4.82, |
| "acc": 0.26357142857142857, |
| "syn_ops": 1529523.75487013 |
| }, |
| { |
| "conf": 0.8, |
| "mean_ticks": 5.501428571428572, |
| "acc": 0.29214285714285715, |
| "syn_ops": 1558365.8676948054 |
| }, |
| { |
| "conf": 0.9, |
| "mean_ticks": 7.478571428571429, |
| "acc": 0.3657142857142857, |
| "syn_ops": 1629213.413961039 |
| }, |
| { |
| "conf": 0.95, |
| "mean_ticks": 9.495714285714286, |
| "acc": 0.42928571428571427, |
| "syn_ops": 1689368.923701299 |
| }, |
| { |
| "conf": 0.99, |
| "mean_ticks": 13.76, |
| "acc": 0.5578571428571428, |
| "syn_ops": 1796731.148538961 |
| } |
| ] |
| }, |
| "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": "spikecount", |
| "fake_quant": 0, |
| "amp": false, |
| "spike_reg": 0.0, |
| "event_eval": true, |
| "decision_margin": 2.0, |
| "export": false, |
| "seed": 1234, |
| "baseline": false, |
| "bench": true, |
| "bench_warmup": 10, |
| "bench_iters": 50, |
| "bench_train_steps": 20, |
| "anytime_fracs": "0.25,0.5,1.0", |
| "anytime_weights": "0.3,0.3,1.0", |
| "ic_layer": 0, |
| "ic_loss_weight": 0.1, |
| "bayes_fusion": true, |
| "fusion_prior_weight": 1.0, |
| "conf_threshold": 0.9, |
| "conf_temp": 2.0, |
| "conf_sweep": "0.5,0.7,0.8,0.9,0.95,0.99", |
| "hub_dir": "/kaggle/working/hub/opt02_seenn_bayes/ic_loss_0.1", |
| "repo_id": "UWU-R-13/SSVEP-SNN", |
| "push_hf": false, |
| "keep_epoch_weights": 1, |
| "no_resume": true, |
| "selftest": false, |
| "sampling_rate": 250.0 |
| } |
| }, |
| "zip": { |
| "name": "ic_loss_0.1.zip", |
| "files": 81, |
| "bytes": 12641458, |
| "MB": 12.6, |
| "sha256": "eee45bc432ffd53ea313c17e39d1034457326176b0a2447f42b1ecf6ed5b52a5" |
| } |
| }, |
| { |
| "key": "opt02_seenn_bayes/ic_loss_0.6", |
| "tag": "ic_loss_0.6", |
| "script": "opt02_seenn_bayes.py", |
| "hf_folder": "applied/opt02_seenn_bayes", |
| "phase": 7, |
| "status": "ok", |
| "duration_s": 613.6, |
| "optimization_summary": { |
| "optimization": "seenn_early_exit_bayesian_fusion", |
| "research_section": "2. Temporal-dimension reduction", |
| "reference": "SEENN: Towards Temporal Spiking Early-Exit Neural Networks, arXiv:2304.01230 (NeurIPS 2023); BayesianSpikeFusion, Front. Neurosci. 2024 (PMC11330889)", |
| "script": "opt02_seenn_bayes.py", |
| "baseline_mode": false, |
| "method": "harmonic_matched", |
| "accuracy": { |
| "test_acc": 0.9278571428571428, |
| "test_target_acc": 0.9278571428571428, |
| "best_val_acc": 0.93 |
| }, |
| "efficiency": { |
| "spikes_per_inference": null, |
| "syn_ops_per_inference": 3881920.3644480524, |
| "dense_macs_per_inference": 123955200.0, |
| "event_fraction_of_dense": 0.03131712396452954, |
| "syn_ops_per_inference_dense_fanout": 65458538.15097403, |
| "weight_sparsity": 0.7324707846410685, |
| "effective_ticks": 8.4, |
| "num_ticks": 100, |
| "membrane_bytes_per_inference": 451200, |
| "weight_bytes": 4907008, |
| "input_raster_bytes": null, |
| "train_ms_per_step": 187.2155785560608, |
| "infer_ms_per_sample": 0.6591762280344364, |
| "peak_vram_mb": 10915.289088, |
| "syn_ops_per_inference_early_exit": 2075315.3977272727 |
| }, |
| "optimization_specific": { |
| "seenn_enabled": true, |
| "bayes_fusion_enabled": true, |
| "conf_threshold": 0.9, |
| "conf_temp": 2.0, |
| "anytime_fracs": "0.25,0.5,1.0", |
| "anytime_weights": "0.3,0.3,1.0", |
| "ic_loss_weight": 0.6, |
| "ic_layer": 0, |
| "mean_exit_tick": 8.4, |
| "mean_exit_ms": 420.00000000000006, |
| "ticks_saved_frac": 0.916, |
| "exit_tick_histogram": { |
| "counts": [ |
| 996, |
| 350, |
| 41, |
| 11, |
| 1, |
| 1, |
| 0, |
| 0, |
| 0, |
| 0 |
| ], |
| "edges": [ |
| 0.0, |
| 10.0, |
| 20.0, |
| 30.0, |
| 40.0, |
| 50.0, |
| 60.0, |
| 70.0, |
| 80.0, |
| 90.0, |
| 100.0 |
| ] |
| }, |
| "acc_fc_only": 0.9278571428571428, |
| "acc_ic_only": 0.9364285714285714, |
| "acc_fused": 0.935, |
| "acc_early_exit": 0.3942857142857143, |
| "syn_ops_saved_frac": 0.4653894972360285, |
| "syn_per_inference_early_exit": 2075315.3977272727, |
| "anytime_acc": { |
| "0.25": 0.6278571428571429, |
| "0.5": 0.8207142857142857, |
| "0.75": 0.8907142857142857, |
| "1.0": 0.9278571428571428 |
| }, |
| "pareto": [ |
| { |
| "conf": 0.5, |
| "mean_ticks": 4.551428571428572, |
| "acc": 0.24857142857142858, |
| "syn_ops": 1938717.4821428573 |
| }, |
| { |
| "conf": 0.7, |
| "mean_ticks": 5.35, |
| "acc": 0.2757142857142857, |
| "syn_ops": 1970675.2102272727 |
| }, |
| { |
| "conf": 0.8, |
| "mean_ticks": 6.325714285714286, |
| "acc": 0.31785714285714284, |
| "syn_ops": 2008171.7573051946 |
| }, |
| { |
| "conf": 0.9, |
| "mean_ticks": 8.4, |
| "acc": 0.3942857142857143, |
| "syn_ops": 2075315.4375 |
| }, |
| { |
| "conf": 0.95, |
| "mean_ticks": 10.375714285714286, |
| "acc": 0.46214285714285713, |
| "syn_ops": 2131283.1087662335 |
| }, |
| { |
| "conf": 0.99, |
| "mean_ticks": 14.411428571428571, |
| "acc": 0.5742857142857143, |
| "syn_ops": 2220022.9334415584 |
| } |
| ] |
| }, |
| "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": "spikecount", |
| "fake_quant": 0, |
| "amp": false, |
| "spike_reg": 0.0, |
| "event_eval": true, |
| "decision_margin": 2.0, |
| "export": false, |
| "seed": 1234, |
| "baseline": false, |
| "bench": true, |
| "bench_warmup": 10, |
| "bench_iters": 50, |
| "bench_train_steps": 20, |
| "anytime_fracs": "0.25,0.5,1.0", |
| "anytime_weights": "0.3,0.3,1.0", |
| "ic_layer": 0, |
| "ic_loss_weight": 0.6, |
| "bayes_fusion": true, |
| "fusion_prior_weight": 1.0, |
| "conf_threshold": 0.9, |
| "conf_temp": 2.0, |
| "conf_sweep": "0.5,0.7,0.8,0.9,0.95,0.99", |
| "hub_dir": "/kaggle/working/hub/opt02_seenn_bayes/ic_loss_0.6", |
| "repo_id": "UWU-R-13/SSVEP-SNN", |
| "push_hf": false, |
| "keep_epoch_weights": 1, |
| "no_resume": true, |
| "selftest": false, |
| "sampling_rate": 250.0 |
| } |
| }, |
| "zip": { |
| "name": "ic_loss_0.6.zip", |
| "files": 81, |
| "bytes": 12634970, |
| "MB": 12.6, |
| "sha256": "8b06be6ffe12ced55b0fa84f116fc4476be96b97264b7c85d13026df05393ec7" |
| } |
| }, |
| { |
| "key": "opt02_seenn_bayes/no_bayes_fusion", |
| "tag": "no_bayes_fusion", |
| "script": "opt02_seenn_bayes.py", |
| "hf_folder": "applied/opt02_seenn_bayes", |
| "phase": 7, |
| "status": "ok", |
| "duration_s": 605.0, |
| "optimization_summary": { |
| "optimization": "seenn_early_exit_bayesian_fusion", |
| "research_section": "2. Temporal-dimension reduction", |
| "reference": "SEENN: Towards Temporal Spiking Early-Exit Neural Networks, arXiv:2304.01230 (NeurIPS 2023); BayesianSpikeFusion, Front. Neurosci. 2024 (PMC11330889)", |
| "script": "opt02_seenn_bayes.py", |
| "baseline_mode": false, |
| "method": "harmonic_matched", |
| "accuracy": { |
| "test_acc": 0.9257142857142857, |
| "test_target_acc": 0.9257142857142857, |
| "best_val_acc": 0.9257142857142857 |
| }, |
| "efficiency": { |
| "spikes_per_inference": null, |
| "syn_ops_per_inference": 3621647.9464285714, |
| "dense_macs_per_inference": 123955200.0, |
| "event_fraction_of_dense": 0.029217394239439504, |
| "syn_ops_per_inference_dense_fanout": 65198265.73295455, |
| "weight_sparsity": 0.7324707846410685, |
| "effective_ticks": 10.228571428571428, |
| "num_ticks": 100, |
| "membrane_bytes_per_inference": 451200, |
| "weight_bytes": 4907008, |
| "input_raster_bytes": null, |
| "train_ms_per_step": 184.58738327026367, |
| "infer_ms_per_sample": 0.6467816068898493, |
| "peak_vram_mb": 10914.273792, |
| "syn_ops_per_inference_early_exit": 1852356.0259740262 |
| }, |
| "optimization_specific": { |
| "seenn_enabled": true, |
| "bayes_fusion_enabled": false, |
| "conf_threshold": 0.9, |
| "conf_temp": 2.0, |
| "anytime_fracs": "0.25,0.5,1.0", |
| "anytime_weights": "0.3,0.3,1.0", |
| "ic_loss_weight": 0.3, |
| "ic_layer": 0, |
| "mean_exit_tick": 10.228571428571428, |
| "mean_exit_ms": 511.42857142857144, |
| "ticks_saved_frac": 0.8977142857142857, |
| "exit_tick_histogram": { |
| "counts": [ |
| 784, |
| 517, |
| 79, |
| 19, |
| 1, |
| 0, |
| 0, |
| 0, |
| 0, |
| 0 |
| ], |
| "edges": [ |
| 0.0, |
| 10.0, |
| 20.0, |
| 30.0, |
| 40.0, |
| 50.0, |
| 60.0, |
| 70.0, |
| 80.0, |
| 90.0, |
| 100.0 |
| ] |
| }, |
| "acc_fc_only": 0.9257142857142857, |
| "acc_ic_only": 0.9342857142857143, |
| "acc_fused": 0.9257142857142857, |
| "acc_early_exit": 0.44, |
| "syn_ops_saved_frac": 0.48853227774370045, |
| "syn_per_inference_early_exit": 1852356.0259740262, |
| "anytime_acc": { |
| "0.25": 0.615, |
| "0.5": 0.8064285714285714, |
| "0.75": 0.8935714285714286, |
| "1.0": 0.9257142857142857 |
| }, |
| "pareto": [ |
| { |
| "conf": 0.5, |
| "mean_ticks": 4.534285714285715, |
| "acc": 0.24142857142857144, |
| "syn_ops": 1655985.486201299 |
| }, |
| { |
| "conf": 0.7, |
| "mean_ticks": 5.685, |
| "acc": 0.2885714285714286, |
| "syn_ops": 1712321.3814935065 |
| }, |
| { |
| "conf": 0.8, |
| "mean_ticks": 6.976428571428571, |
| "acc": 0.3385714285714286, |
| "syn_ops": 1762251.6274350649 |
| }, |
| { |
| "conf": 0.9, |
| "mean_ticks": 10.228571428571428, |
| "acc": 0.44, |
| "syn_ops": 1852356.7021103897 |
| }, |
| { |
| "conf": 0.95, |
| "mean_ticks": 10.916428571428572, |
| "acc": 0.4614285714285714, |
| "syn_ops": 1872607.6915584416 |
| }, |
| { |
| "conf": 0.99, |
| "mean_ticks": 15.165714285714285, |
| "acc": 0.5571428571428572, |
| "syn_ops": 1963321.9383116884 |
| } |
| ] |
| }, |
| "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": "spikecount", |
| "fake_quant": 0, |
| "amp": false, |
| "spike_reg": 0.0, |
| "event_eval": true, |
| "decision_margin": 2.0, |
| "export": false, |
| "seed": 1234, |
| "baseline": false, |
| "bench": true, |
| "bench_warmup": 10, |
| "bench_iters": 50, |
| "bench_train_steps": 20, |
| "anytime_fracs": "0.25,0.5,1.0", |
| "anytime_weights": "0.3,0.3,1.0", |
| "ic_layer": 0, |
| "ic_loss_weight": 0.3, |
| "bayes_fusion": false, |
| "fusion_prior_weight": 1.0, |
| "conf_threshold": 0.9, |
| "conf_temp": 2.0, |
| "conf_sweep": "0.5,0.7,0.8,0.9,0.95,0.99", |
| "hub_dir": "/kaggle/working/hub/opt02_seenn_bayes/no_bayes_fusion", |
| "repo_id": "UWU-R-13/SSVEP-SNN", |
| "push_hf": false, |
| "keep_epoch_weights": 1, |
| "no_resume": true, |
| "selftest": false, |
| "sampling_rate": 250.0 |
| } |
| }, |
| "zip": { |
| "name": "no_bayes_fusion.zip", |
| "files": 81, |
| "bytes": 12641798, |
| "MB": 12.6, |
| "sha256": "e2e83c0d51a17b32b845d07b1c1cd99dd318c4b15f891615c90b53a342810c59" |
| } |
| }, |
| { |
| "key": "opt03_ftbc_threshold_balance/calib_batches_32", |
| "tag": "calib_batches_32", |
| "script": "opt03_ftbc_threshold_balance.py", |
| "hf_folder": "applied/opt03_ftbc_threshold_balance", |
| "phase": 7, |
| "status": "ok", |
| "duration_s": 399.1, |
| "optimization_summary": { |
| "optimization": "ftbc_threshold_balance", |
| "research_section": "2. Temporal-Dimension Reduction (threshold balancing + FTBC)", |
| "reference": "Rueckauer et al. arXiv:1612.04052; Sengupta et al. arXiv:1802.02627; FTBC: Forward Temporal Bias Correction, ECCV 2024", |
| "script": "opt03_ftbc_threshold_balance.py", |
| "baseline_mode": false, |
| "method": "harmonic_matched", |
| "accuracy": { |
| "test_acc": 0.9378571428571428, |
| "test_target_acc": 0.9378571428571428, |
| "best_val_acc": 0.9478571428571428 |
| }, |
| "efficiency": { |
| "spikes_per_inference": null, |
| "syn_ops_per_inference": 3261141.8693181816, |
| "dense_macs_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.026583546383606316, |
| "syn_ops_per_inference_dense_fanout": 64837759.65584416, |
| "weight_sparsity": 0.7324707846410685, |
| "effective_ticks": 12.063571428571429, |
| "num_ticks": 100, |
| "membrane_bytes_per_inference": 451200, |
| "weight_bytes": 4907008, |
| "input_raster_bytes": null, |
| "train_ms_per_step": 96.95494634997885, |
| "infer_ms_per_sample": 0.6346498156250391, |
| "peak_vram_mb": 2824.29952 |
| }, |
| "optimization_specific": { |
| "calibrate_thresh": true, |
| "ftbc": true, |
| "calib_percentile": 99.9, |
| "calib_batches": 32, |
| "ftbc_target_ticks": 8, |
| "ftbc_ref_ticks": 100, |
| "trained_T": 100, |
| "thresh_before": [ |
| 1.0, |
| 1.0, |
| 1.0, |
| 1.0 |
| ], |
| "thresh_after": [ |
| 2.3753418922424316, |
| 0.8675889372825623, |
| 1.0950974225997925, |
| 2.8038883209228516 |
| ], |
| "min_ticks_within_1pct_of_full": null, |
| "min_ticks_within_1pct_per_arm": { |
| "raw": 100, |
| "thresh": 50, |
| "ftbc": 100, |
| "both": null |
| }, |
| "speedup_at_min_ticks": null, |
| "full_T_acc": 0.9442857142857143, |
| "t_sweep_rows": [ |
| { |
| "T": 4, |
| "arm": "raw", |
| "acc": 0.27, |
| "syn_per_inference": 1859619.69237013, |
| "dense_per_inference": 4907008.0, |
| "event_fraction_of_dense": 0.37897221532349856 |
| }, |
| { |
| "T": 4, |
| "arm": "thresh", |
| "acc": 0.4235714285714286, |
| "syn_per_inference": 1819867.7662337662, |
| "dense_per_inference": 4907008.0, |
| "event_fraction_of_dense": 0.3708711634938778 |
| }, |
| { |
| "T": 4, |
| "arm": "ftbc", |
| "acc": 0.17, |
| "syn_per_inference": 1981539.6152597403, |
| "dense_per_inference": 4907008.0, |
| "event_fraction_of_dense": 0.4038182972719303 |
| }, |
| { |
| "T": 4, |
| "arm": "both", |
| "acc": 0.23, |
| "syn_per_inference": 1951891.856331169, |
| "dense_per_inference": 4907008.0, |
| "event_fraction_of_dense": 0.39777637540659583 |
| }, |
| { |
| "T": 8, |
| "arm": "raw", |
| "acc": 0.605, |
| "syn_per_inference": 2038958.4732142857, |
| "dense_per_inference": 9814016.0, |
| "event_fraction_of_dense": 0.20775984807995887 |
| }, |
| { |
| "T": 8, |
| "arm": "thresh", |
| "acc": 0.7764285714285715, |
| "syn_per_inference": 1942887.4034090908, |
| "dense_per_inference": 9814016.0, |
| "event_fraction_of_dense": 0.1979706782023884 |
| }, |
| { |
| "T": 8, |
| "arm": "ftbc", |
| "acc": 0.315, |
| "syn_per_inference": 2370014.435064935, |
| "dense_per_inference": 9814016.0, |
| "event_fraction_of_dense": 0.24149282363763572 |
| }, |
| { |
| "T": 8, |
| "arm": "both", |
| "acc": 0.4764285714285714, |
| "syn_per_inference": 2295570.1801948054, |
| "dense_per_inference": 9814016.0, |
| "event_fraction_of_dense": 0.2339073199182481 |
| }, |
| { |
| "T": 16, |
| "arm": "raw", |
| "acc": 0.8192857142857143, |
| "syn_per_inference": 2325345.020292208, |
| "dense_per_inference": 19628032.0, |
| "event_fraction_of_dense": 0.11847061489874319 |
| }, |
| { |
| "T": 16, |
| "arm": "thresh", |
| "acc": 0.8992857142857142, |
| "syn_per_inference": 2113511.4650974027, |
| "dense_per_inference": 19628032.0, |
| "event_fraction_of_dense": 0.10767821578329415 |
| }, |
| { |
| "T": 16, |
| "arm": "ftbc", |
| "acc": 0.6028571428571429, |
| "syn_per_inference": 2770224.811688312, |
| "dense_per_inference": 19628032.0, |
| "event_fraction_of_dense": 0.14113614710269026 |
| }, |
| { |
| "T": 16, |
| "arm": "both", |
| "acc": 0.6885714285714286, |
| "syn_per_inference": 2556422.022727273, |
| "dense_per_inference": 19628032.0, |
| "event_fraction_of_dense": 0.13024342036569295 |
| }, |
| { |
| "T": 25, |
| "arm": "raw", |
| "acc": 0.8892857142857142, |
| "syn_per_inference": 2546046.7800324676, |
| "dense_per_inference": 30668800.0, |
| "event_fraction_of_dense": 0.08301748943657618 |
| }, |
| { |
| "T": 25, |
| "arm": "thresh", |
| "acc": 0.9214285714285714, |
| "syn_per_inference": 2230110.1696428573, |
| "dense_per_inference": 30668800.0, |
| "event_fraction_of_dense": 0.07271592529355102 |
| }, |
| { |
| "T": 25, |
| "arm": "ftbc", |
| "acc": 0.7728571428571429, |
| "syn_per_inference": 3055456.0194805195, |
| "dense_per_inference": 30668800.0, |
| "event_fraction_of_dense": 0.09962750480881284 |
| }, |
| { |
| "T": 25, |
| "arm": "both", |
| "acc": 0.8035714285714286, |
| "syn_per_inference": 2718618.5576298703, |
| "dense_per_inference": 30668800.0, |
| "event_fraction_of_dense": 0.08864443857046478 |
| }, |
| { |
| "T": 50, |
| "arm": "raw", |
| "acc": 0.9285714285714286, |
| "syn_per_inference": 2902600.2816558443, |
| "dense_per_inference": 61337600.0, |
| "event_fraction_of_dense": 0.047321712646987237 |
| }, |
| { |
| "T": 50, |
| "arm": "thresh", |
| "acc": 0.9428571428571428, |
| "syn_per_inference": 2409330.423701299, |
| "dense_per_inference": 61337600.0, |
| "event_fraction_of_dense": 0.03927982874617362 |
| }, |
| { |
| "T": 50, |
| "arm": "ftbc", |
| "acc": 0.9007142857142857, |
| "syn_per_inference": 3497088.7767857146, |
| "dense_per_inference": 61337600.0, |
| "event_fraction_of_dense": 0.05701378561902837 |
| }, |
| { |
| "T": 50, |
| "arm": "both", |
| "acc": 0.8971428571428571, |
| "syn_per_inference": 2966595.8733766233, |
| "dense_per_inference": 61337600.0, |
| "event_fraction_of_dense": 0.04836504645399597 |
| }, |
| { |
| "T": 100, |
| "arm": "raw", |
| "acc": 0.9442857142857143, |
| "syn_per_inference": 3261141.1704545454, |
| "dense_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.026583540686744716 |
| }, |
| { |
| "T": 100, |
| "arm": "thresh", |
| "acc": 0.9378571428571428, |
| "syn_per_inference": 2675097.6079545454, |
| "dense_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.021806343971353177 |
| }, |
| { |
| "T": 100, |
| "arm": "ftbc", |
| "acc": 0.935, |
| "syn_per_inference": 3939535.5738636362, |
| "dense_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.03211354514900841 |
| }, |
| { |
| "T": 100, |
| "arm": "both", |
| "acc": 0.9235714285714286, |
| "syn_per_inference": 3268745.5649350653, |
| "dense_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.026645528720842235 |
| } |
| ], |
| "calibration_reference": "same network at full T (NOT a source ANN)" |
| }, |
| "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": "spikecount", |
| "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/opt03_ftbc_threshold_balance/calib_batches_32", |
| "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, |
| "calibrate_thresh": true, |
| "calib_percentile": 99.9, |
| "calib_batches": 32, |
| "ftbc": true, |
| "ftbc_target_ticks": 8, |
| "ftbc_ref_ticks": 0, |
| "ftbc_lr": 1.0, |
| "t_sweep": "4,8,16,25,50,100", |
| "sampling_rate": 250.0 |
| } |
| }, |
| "zip": { |
| "name": "calib_batches_32.zip", |
| "files": 81, |
| "bytes": 12248653, |
| "MB": 12.2, |
| "sha256": "9359402eddfde164b345f308da096b3218c7dd55bd14b4dbd1e9a946ac98d5e9" |
| } |
| }, |
| { |
| "key": "opt03_ftbc_threshold_balance/ftbc_lr_0.5", |
| "tag": "ftbc_lr_0.5", |
| "script": "opt03_ftbc_threshold_balance.py", |
| "hf_folder": "applied/opt03_ftbc_threshold_balance", |
| "phase": 7, |
| "status": "ok", |
| "duration_s": 386.3, |
| "optimization_summary": { |
| "optimization": "ftbc_threshold_balance", |
| "research_section": "2. Temporal-Dimension Reduction (threshold balancing + FTBC)", |
| "reference": "Rueckauer et al. arXiv:1612.04052; Sengupta et al. arXiv:1802.02627; FTBC: Forward Temporal Bias Correction, ECCV 2024", |
| "script": "opt03_ftbc_threshold_balance.py", |
| "baseline_mode": false, |
| "method": "harmonic_matched", |
| "accuracy": { |
| "test_acc": 0.9328571428571428, |
| "test_target_acc": 0.9328571428571428, |
| "best_val_acc": 0.945 |
| }, |
| "efficiency": { |
| "spikes_per_inference": null, |
| "syn_ops_per_inference": 3251424.406655844, |
| "dense_macs_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.026504333448454487, |
| "syn_ops_per_inference_dense_fanout": 64828042.19318182, |
| "weight_sparsity": 0.7324707846410685, |
| "effective_ticks": 12.322857142857142, |
| "num_ticks": 100, |
| "membrane_bytes_per_inference": 451200, |
| "weight_bytes": 4907008, |
| "input_raster_bytes": null, |
| "train_ms_per_step": 96.83538014996884, |
| "infer_ms_per_sample": 0.6346282890626753, |
| "peak_vram_mb": 2825.357824 |
| }, |
| "optimization_specific": { |
| "calibrate_thresh": true, |
| "ftbc": true, |
| "calib_percentile": 99.9, |
| "calib_batches": 8, |
| "ftbc_target_ticks": 8, |
| "ftbc_ref_ticks": 100, |
| "trained_T": 100, |
| "thresh_before": [ |
| 1.0, |
| 1.0, |
| 1.0, |
| 1.0 |
| ], |
| "thresh_after": [ |
| 2.332695722579956, |
| 0.859599232673645, |
| 1.0915957689285278, |
| 2.6890203952789307 |
| ], |
| "min_ticks_within_1pct_of_full": null, |
| "min_ticks_within_1pct_per_arm": { |
| "raw": 100, |
| "thresh": null, |
| "ftbc": null, |
| "both": null |
| }, |
| "speedup_at_min_ticks": null, |
| "full_T_acc": 0.95, |
| "t_sweep_rows": [ |
| { |
| "T": 4, |
| "arm": "raw", |
| "acc": 0.2671428571428571, |
| "syn_per_inference": 1861908.2905844154, |
| "dense_per_inference": 4907008.0, |
| "event_fraction_of_dense": 0.3794386091452093 |
| }, |
| { |
| "T": 4, |
| "arm": "thresh", |
| "acc": 0.4085714285714286, |
| "syn_per_inference": 1822856.6185064935, |
| "dense_per_inference": 4907008.0, |
| "event_fraction_of_dense": 0.37148026220998487 |
| }, |
| { |
| "T": 4, |
| "arm": "ftbc", |
| "acc": 0.31785714285714284, |
| "syn_per_inference": 1921884.1883116884, |
| "dense_per_inference": 4907008.0, |
| "event_fraction_of_dense": 0.3916611076060378 |
| }, |
| { |
| "T": 4, |
| "arm": "both", |
| "acc": 0.43785714285714283, |
| "syn_per_inference": 1887901.7792207792, |
| "dense_per_inference": 4907008.0, |
| "event_fraction_of_dense": 0.3847358266423815 |
| }, |
| { |
| "T": 8, |
| "arm": "raw", |
| "acc": 0.5807142857142857, |
| "syn_per_inference": 2040732.888798701, |
| "dense_per_inference": 9814016.0, |
| "event_fraction_of_dense": 0.20794065230775058 |
| }, |
| { |
| "T": 8, |
| "arm": "thresh", |
| "acc": 0.7564285714285715, |
| "syn_per_inference": 1946398.6477272727, |
| "dense_per_inference": 9814016.0, |
| "event_fraction_of_dense": 0.19832845674260902 |
| }, |
| { |
| "T": 8, |
| "arm": "ftbc", |
| "acc": 0.5457142857142857, |
| "syn_per_inference": 2210247.6266233767, |
| "dense_per_inference": 9814016.0, |
| "event_fraction_of_dense": 0.22521337102195235 |
| }, |
| { |
| "T": 8, |
| "arm": "both", |
| "acc": 0.7142857142857143, |
| "syn_per_inference": 2123275.1217532465, |
| "dense_per_inference": 9814016.0, |
| "event_fraction_of_dense": 0.2163513001969068 |
| }, |
| { |
| "T": 16, |
| "arm": "raw", |
| "acc": 0.8042857142857143, |
| "syn_per_inference": 2325398.8141233767, |
| "dense_per_inference": 19628032.0, |
| "event_fraction_of_dense": 0.11847335556225794 |
| }, |
| { |
| "T": 16, |
| "arm": "thresh", |
| "acc": 0.8992857142857142, |
| "syn_per_inference": 2118264.750811688, |
| "dense_per_inference": 19628032.0, |
| "event_fraction_of_dense": 0.10792038401056653 |
| }, |
| { |
| "T": 16, |
| "arm": "ftbc", |
| "acc": 0.7342857142857143, |
| "syn_per_inference": 2572779.288961039, |
| "dense_per_inference": 19628032.0, |
| "event_fraction_of_dense": 0.1310767828868956 |
| }, |
| { |
| "T": 16, |
| "arm": "both", |
| "acc": 0.8478571428571429, |
| "syn_per_inference": 2357532.7719155843, |
| "dense_per_inference": 19628032.0, |
| "event_fraction_of_dense": 0.12011050175155534 |
| }, |
| { |
| "T": 25, |
| "arm": "raw", |
| "acc": 0.8764285714285714, |
| "syn_per_inference": 2543208.9926948054, |
| "dense_per_inference": 30668800.0, |
| "event_fraction_of_dense": 0.08292495932983375 |
| }, |
| { |
| "T": 25, |
| "arm": "thresh", |
| "acc": 0.9242857142857143, |
| "syn_per_inference": 2236140.2930194805, |
| "dense_per_inference": 30668800.0, |
| "event_fraction_of_dense": 0.07291254607351708 |
| }, |
| { |
| "T": 25, |
| "arm": "ftbc", |
| "acc": 0.8357142857142857, |
| "syn_per_inference": 2838940.3084415584, |
| "dense_per_inference": 30668800.0, |
| "event_fraction_of_dense": 0.092567701000416 |
| }, |
| { |
| "T": 25, |
| "arm": "both", |
| "acc": 0.895, |
| "syn_per_inference": 2509213.547077922, |
| "dense_per_inference": 30668800.0, |
| "event_fraction_of_dense": 0.0818164893011113 |
| }, |
| { |
| "T": 50, |
| "arm": "raw", |
| "acc": 0.9307142857142857, |
| "syn_per_inference": 2895740.404220779, |
| "dense_per_inference": 61337600.0, |
| "event_fraction_of_dense": 0.04720987459927971 |
| }, |
| { |
| "T": 50, |
| "arm": "thresh", |
| "acc": 0.9392857142857143, |
| "syn_per_inference": 2418345.2930194805, |
| "dense_per_inference": 61337600.0, |
| "event_fraction_of_dense": 0.03942680008705069 |
| }, |
| { |
| "T": 50, |
| "arm": "ftbc", |
| "acc": 0.9214285714285714, |
| "syn_per_inference": 3263736.2483766233, |
| "dense_per_inference": 61337600.0, |
| "event_fraction_of_dense": 0.053209389483393925 |
| }, |
| { |
| "T": 50, |
| "arm": "both", |
| "acc": 0.9307142857142857, |
| "syn_per_inference": 2744258.13474026, |
| "dense_per_inference": 61337600.0, |
| "event_fraction_of_dense": 0.044740226789771034 |
| }, |
| { |
| "T": 100, |
| "arm": "raw", |
| "acc": 0.95, |
| "syn_per_inference": 3251424.2077922076, |
| "dense_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.026504331827396307 |
| }, |
| { |
| "T": 100, |
| "arm": "thresh", |
| "acc": 0.9328571428571428, |
| "syn_per_inference": 2685684.0251623373, |
| "dense_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.0218926402823255 |
| }, |
| { |
| "T": 100, |
| "arm": "ftbc", |
| "acc": 0.9378571428571428, |
| "syn_per_inference": 3688635.3920454546, |
| "dense_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.030068305509552497 |
| }, |
| { |
| "T": 100, |
| "arm": "both", |
| "acc": 0.925, |
| "syn_per_inference": 3041737.727272727, |
| "dense_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.024795050077544012 |
| } |
| ], |
| "calibration_reference": "same network at full T (NOT a source ANN)" |
| }, |
| "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": "spikecount", |
| "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/opt03_ftbc_threshold_balance/ftbc_lr_0.5", |
| "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, |
| "calibrate_thresh": true, |
| "calib_percentile": 99.9, |
| "calib_batches": 8, |
| "ftbc": true, |
| "ftbc_target_ticks": 8, |
| "ftbc_ref_ticks": 0, |
| "ftbc_lr": 0.5, |
| "t_sweep": "4,8,16,25,50,100", |
| "sampling_rate": 250.0 |
| } |
| }, |
| "zip": { |
| "name": "ftbc_lr_0.5.zip", |
| "files": 81, |
| "bytes": 12251677, |
| "MB": 12.3, |
| "sha256": "77804b842073b38ff69c86ae0358cafc315ed019d7dc45240ea65afc1daf7137" |
| } |
| }, |
| { |
| "key": "opt03_ftbc_threshold_balance/ftbc_lr_2.0", |
| "tag": "ftbc_lr_2.0", |
| "script": "opt03_ftbc_threshold_balance.py", |
| "hf_folder": "applied/opt03_ftbc_threshold_balance", |
| "phase": 7, |
| "status": "ok", |
| "duration_s": 387.4, |
| "optimization_summary": { |
| "optimization": "ftbc_threshold_balance", |
| "research_section": "2. Temporal-Dimension Reduction (threshold balancing + FTBC)", |
| "reference": "Rueckauer et al. arXiv:1612.04052; Sengupta et al. arXiv:1802.02627; FTBC: Forward Temporal Bias Correction, ECCV 2024", |
| "script": "opt03_ftbc_threshold_balance.py", |
| "baseline_mode": false, |
| "method": "harmonic_matched", |
| "accuracy": { |
| "test_acc": 0.925, |
| "test_target_acc": 0.925, |
| "best_val_acc": 0.9442857142857143 |
| }, |
| "efficiency": { |
| "spikes_per_inference": null, |
| "syn_ops_per_inference": 3270530.453733766, |
| "dense_macs_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.026660078432590825, |
| "syn_ops_per_inference_dense_fanout": 64847148.240259744, |
| "weight_sparsity": 0.7324707846410685, |
| "effective_ticks": 12.499285714285714, |
| "num_ticks": 100, |
| "membrane_bytes_per_inference": 451200, |
| "weight_bytes": 4907008, |
| "input_raster_bytes": null, |
| "train_ms_per_step": 97.14889454999138, |
| "infer_ms_per_sample": 0.6363494856253737, |
| "peak_vram_mb": 2825.317888 |
| }, |
| "optimization_specific": { |
| "calibrate_thresh": true, |
| "ftbc": true, |
| "calib_percentile": 99.9, |
| "calib_batches": 8, |
| "ftbc_target_ticks": 8, |
| "ftbc_ref_ticks": 100, |
| "trained_T": 100, |
| "thresh_before": [ |
| 1.0, |
| 1.0, |
| 1.0, |
| 1.0 |
| ], |
| "thresh_after": [ |
| 2.366356134414673, |
| 0.8545898795127869, |
| 1.1143375635147095, |
| 2.678464412689209 |
| ], |
| "min_ticks_within_1pct_of_full": null, |
| "min_ticks_within_1pct_per_arm": { |
| "raw": 100, |
| "thresh": 50, |
| "ftbc": null, |
| "both": null |
| }, |
| "speedup_at_min_ticks": null, |
| "full_T_acc": 0.9485714285714286, |
| "t_sweep_rows": [ |
| { |
| "T": 4, |
| "arm": "raw", |
| "acc": 0.25285714285714284, |
| "syn_per_inference": 1866740.6030844154, |
| "dense_per_inference": 4907008.0, |
| "event_fraction_of_dense": 0.3804233869364826 |
| }, |
| { |
| "T": 4, |
| "arm": "thresh", |
| "acc": 0.3921428571428571, |
| "syn_per_inference": 1825928.9253246754, |
| "dense_per_inference": 4907008.0, |
| "event_fraction_of_dense": 0.3721063681421908 |
| }, |
| { |
| "T": 4, |
| "arm": "ftbc", |
| "acc": 0.05071428571428571, |
| "syn_per_inference": 2045034.4821428573, |
| "dense_per_inference": 4907008.0, |
| "event_fraction_of_dense": 0.41675792705918907 |
| }, |
| { |
| "T": 4, |
| "arm": "both", |
| "acc": 0.030714285714285715, |
| "syn_per_inference": 2018497.18262987, |
| "dense_per_inference": 4907008.0, |
| "event_fraction_of_dense": 0.4113498862504137 |
| }, |
| { |
| "T": 8, |
| "arm": "raw", |
| "acc": 0.5771428571428572, |
| "syn_per_inference": 2048153.543831169, |
| "dense_per_inference": 9814016.0, |
| "event_fraction_of_dense": 0.20869678058718968 |
| }, |
| { |
| "T": 8, |
| "arm": "thresh", |
| "acc": 0.7385714285714285, |
| "syn_per_inference": 1950252.5267857143, |
| "dense_per_inference": 9814016.0, |
| "event_fraction_of_dense": 0.19872114807900398 |
| }, |
| { |
| "T": 8, |
| "arm": "ftbc", |
| "acc": 0.05285714285714286, |
| "syn_per_inference": 2452784.042207792, |
| "dense_per_inference": 9814016.0, |
| "event_fraction_of_dense": 0.2499266398391639 |
| }, |
| { |
| "T": 8, |
| "arm": "both", |
| "acc": 0.06642857142857143, |
| "syn_per_inference": 2399304.793831169, |
| "dense_per_inference": 9814016.0, |
| "event_fraction_of_dense": 0.2444773672501827 |
| }, |
| { |
| "T": 16, |
| "arm": "raw", |
| "acc": 0.7892857142857143, |
| "syn_per_inference": 2337609.4261363638, |
| "dense_per_inference": 19628032.0, |
| "event_fraction_of_dense": 0.11909545624015509 |
| }, |
| { |
| "T": 16, |
| "arm": "thresh", |
| "acc": 0.9014285714285715, |
| "syn_per_inference": 2121910.1517857146, |
| "dense_per_inference": 19628032.0, |
| "event_fraction_of_dense": 0.10810610823263965 |
| }, |
| { |
| "T": 16, |
| "arm": "ftbc", |
| "acc": 0.4092857142857143, |
| "syn_per_inference": 2811218.702922078, |
| "dense_per_inference": 19628032.0, |
| "event_fraction_of_dense": 0.14322468513002617 |
| }, |
| { |
| "T": 16, |
| "arm": "both", |
| "acc": 0.3514285714285714, |
| "syn_per_inference": 2648069.6298701297, |
| "dense_per_inference": 19628032.0, |
| "event_fraction_of_dense": 0.13491264075125461 |
| }, |
| { |
| "T": 25, |
| "arm": "raw", |
| "acc": 0.8792857142857143, |
| "syn_per_inference": 2558687.908279221, |
| "dense_per_inference": 30668800.0, |
| "event_fraction_of_dense": 0.08342967146674213 |
| }, |
| { |
| "T": 25, |
| "arm": "thresh", |
| "acc": 0.925, |
| "syn_per_inference": 2239377.7564935065, |
| "dense_per_inference": 30668800.0, |
| "event_fraction_of_dense": 0.07301810819117495 |
| }, |
| { |
| "T": 25, |
| "arm": "ftbc", |
| "acc": 0.685, |
| "syn_per_inference": 3072336.8579545454, |
| "dense_per_inference": 30668800.0, |
| "event_fraction_of_dense": 0.10017792864261221 |
| }, |
| { |
| "T": 25, |
| "arm": "both", |
| "acc": 0.5571428571428572, |
| "syn_per_inference": 2806018.2516233767, |
| "dense_per_inference": 30668800.0, |
| "event_fraction_of_dense": 0.0914942303456078 |
| }, |
| { |
| "T": 50, |
| "arm": "raw", |
| "acc": 0.9328571428571428, |
| "syn_per_inference": 2913571.6136363638, |
| "dense_per_inference": 61337600.0, |
| "event_fraction_of_dense": 0.047500580616723895 |
| }, |
| { |
| "T": 50, |
| "arm": "thresh", |
| "acc": 0.9407142857142857, |
| "syn_per_inference": 2421276.7459415584, |
| "dense_per_inference": 61337600.0, |
| "event_fraction_of_dense": 0.039474592190459984 |
| }, |
| { |
| "T": 50, |
| "arm": "ftbc", |
| "acc": 0.8578571428571429, |
| "syn_per_inference": 3487039.4261363638, |
| "dense_per_inference": 61337600.0, |
| "event_fraction_of_dense": 0.05684994890795146 |
| }, |
| { |
| "T": 50, |
| "arm": "both", |
| "acc": 0.7778571428571428, |
| "syn_per_inference": 3057650.978896104, |
| "dense_per_inference": 61337600.0, |
| "event_fraction_of_dense": 0.04984953729679844 |
| }, |
| { |
| "T": 100, |
| "arm": "raw", |
| "acc": 0.9485714285714286, |
| "syn_per_inference": 3270530.1485389615, |
| "dense_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.02666007594476277 |
| }, |
| { |
| "T": 100, |
| "arm": "thresh", |
| "acc": 0.925, |
| "syn_per_inference": 2694214.478896104, |
| "dense_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.02196217718737042 |
| }, |
| { |
| "T": 100, |
| "arm": "ftbc", |
| "acc": 0.9164285714285715, |
| "syn_per_inference": 3933733.825487013, |
| "dense_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.03206625157723006 |
| }, |
| { |
| "T": 100, |
| "arm": "both", |
| "acc": 0.8485714285714285, |
| "syn_per_inference": 3378956.2589285714, |
| "dense_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.02754392296836338 |
| } |
| ], |
| "calibration_reference": "same network at full T (NOT a source ANN)" |
| }, |
| "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": "spikecount", |
| "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/opt03_ftbc_threshold_balance/ftbc_lr_2.0", |
| "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, |
| "calibrate_thresh": true, |
| "calib_percentile": 99.9, |
| "calib_batches": 8, |
| "ftbc": true, |
| "ftbc_target_ticks": 8, |
| "ftbc_ref_ticks": 0, |
| "ftbc_lr": 2.0, |
| "t_sweep": "4,8,16,25,50,100", |
| "sampling_rate": 250.0 |
| } |
| }, |
| "zip": { |
| "name": "ftbc_lr_2.0.zip", |
| "files": 81, |
| "bytes": 12249793, |
| "MB": 12.2, |
| "sha256": "8da510a7f6f6ea93fcb881624cd1c8187170ac3da8af0683fcf18c123a1fac73" |
| } |
| }, |
| { |
| "key": "opt03_ftbc_threshold_balance/ftbc_only", |
| "tag": "ftbc_only", |
| "script": "opt03_ftbc_threshold_balance.py", |
| "hf_folder": "applied/opt03_ftbc_threshold_balance", |
| "phase": 7, |
| "status": "ok", |
| "duration_s": 362.0, |
| "optimization_summary": { |
| "optimization": "ftbc_threshold_balance", |
| "research_section": "2. Temporal-Dimension Reduction (threshold balancing + FTBC)", |
| "reference": "Rueckauer et al. arXiv:1612.04052; Sengupta et al. arXiv:1802.02627; FTBC: Forward Temporal Bias Correction, ECCV 2024", |
| "script": "opt03_ftbc_threshold_balance.py", |
| "baseline_mode": false, |
| "method": "harmonic_matched", |
| "accuracy": { |
| "test_acc": 0.9414285714285714, |
| "test_target_acc": 0.9414285714285714, |
| "best_val_acc": 0.9421428571428572 |
| }, |
| "efficiency": { |
| "spikes_per_inference": null, |
| "syn_ops_per_inference": 3249375.69724026, |
| "dense_macs_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.026487633174759526, |
| "syn_ops_per_inference_dense_fanout": 64825993.48376623, |
| "weight_sparsity": 0.7324707846410685, |
| "effective_ticks": 12.075714285714286, |
| "num_ticks": 100, |
| "membrane_bytes_per_inference": 451200, |
| "weight_bytes": 4907008, |
| "input_raster_bytes": null, |
| "train_ms_per_step": 101.28010819998963, |
| "infer_ms_per_sample": 0.656100417812695, |
| "peak_vram_mb": 2828.060672 |
| }, |
| "optimization_specific": { |
| "calibrate_thresh": false, |
| "ftbc": true, |
| "calib_percentile": 99.9, |
| "calib_batches": 8, |
| "ftbc_target_ticks": 8, |
| "ftbc_ref_ticks": 100, |
| "trained_T": 100, |
| "thresh_before": [ |
| 1.0, |
| 1.0, |
| 1.0, |
| 1.0 |
| ], |
| "thresh_after": null, |
| "min_ticks_within_1pct_of_full": null, |
| "min_ticks_within_1pct_per_arm": { |
| "raw": 100, |
| "ftbc": 100 |
| }, |
| "speedup_at_min_ticks": null, |
| "full_T_acc": 0.9414285714285714, |
| "t_sweep_rows": [ |
| { |
| "T": 4, |
| "arm": "raw", |
| "acc": 0.285, |
| "syn_per_inference": 1863959.37987013, |
| "dense_per_inference": 4907008.0, |
| "event_fraction_of_dense": 0.3798566009817245 |
| }, |
| { |
| "T": 4, |
| "arm": "ftbc", |
| "acc": 0.18, |
| "syn_per_inference": 1988746.081168831, |
| "dense_per_inference": 4907008.0, |
| "event_fraction_of_dense": 0.4052869041927038 |
| }, |
| { |
| "T": 8, |
| "arm": "raw", |
| "acc": 0.6028571428571429, |
| "syn_per_inference": 2041225.4082792208, |
| "dense_per_inference": 9814016.0, |
| "event_fraction_of_dense": 0.20799083762235773 |
| }, |
| { |
| "T": 8, |
| "arm": "ftbc", |
| "acc": 0.375, |
| "syn_per_inference": 2398680.064935065, |
| "dense_per_inference": 9814016.0, |
| "event_fraction_of_dense": 0.24441371044586283 |
| }, |
| { |
| "T": 16, |
| "arm": "raw", |
| "acc": 0.8192857142857143, |
| "syn_per_inference": 2324367.765422078, |
| "dense_per_inference": 19628032.0, |
| "event_fraction_of_dense": 0.11842082616444062 |
| }, |
| { |
| "T": 16, |
| "arm": "ftbc", |
| "acc": 0.6142857142857143, |
| "syn_per_inference": 2803018.7873376627, |
| "dense_per_inference": 19628032.0, |
| "event_fraction_of_dense": 0.1428069195799998 |
| }, |
| { |
| "T": 25, |
| "arm": "raw", |
| "acc": 0.8821428571428571, |
| "syn_per_inference": 2541577.2775974027, |
| "dense_per_inference": 30668800.0, |
| "event_fraction_of_dense": 0.08287175493000713 |
| }, |
| { |
| "T": 25, |
| "arm": "ftbc", |
| "acc": 0.78, |
| "syn_per_inference": 3086706.7922077924, |
| "dense_per_inference": 30668800.0, |
| "event_fraction_of_dense": 0.10064648086028122 |
| }, |
| { |
| "T": 50, |
| "arm": "raw", |
| "acc": 0.9257142857142857, |
| "syn_per_inference": 2894576.2873376627, |
| "dense_per_inference": 61337600.0, |
| "event_fraction_of_dense": 0.04719089575297473 |
| }, |
| { |
| "T": 50, |
| "arm": "ftbc", |
| "acc": 0.9128571428571428, |
| "syn_per_inference": 3537494.286525974, |
| "dense_per_inference": 61337600.0, |
| "event_fraction_of_dense": 0.057672525278556284 |
| }, |
| { |
| "T": 100, |
| "arm": "raw", |
| "acc": 0.9414285714285714, |
| "syn_per_inference": 3249375.612012987, |
| "dense_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.026487632480020305 |
| }, |
| { |
| "T": 100, |
| "arm": "ftbc", |
| "acc": 0.9385714285714286, |
| "syn_per_inference": 3966864.5608766233, |
| "dense_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.032336320306603314 |
| } |
| ], |
| "calibration_reference": "same network at full T (NOT a source ANN)" |
| }, |
| "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": "spikecount", |
| "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/opt03_ftbc_threshold_balance/ftbc_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, |
| "calibrate_thresh": false, |
| "calib_percentile": 99.9, |
| "calib_batches": 8, |
| "ftbc": true, |
| "ftbc_target_ticks": 8, |
| "ftbc_ref_ticks": 0, |
| "ftbc_lr": 1.0, |
| "t_sweep": "4,8,16,25,50,100", |
| "sampling_rate": 250.0 |
| } |
| }, |
| "zip": { |
| "name": "ftbc_only.zip", |
| "files": 81, |
| "bytes": 12244861, |
| "MB": 12.2, |
| "sha256": "736f330397784874481ef351ef9ef2dc0fd23464b032e5ef4d4e65a8729b5ab0" |
| } |
| }, |
| { |
| "key": "opt03_ftbc_threshold_balance/ftbc_ref_ticks_25", |
| "tag": "ftbc_ref_ticks_25", |
| "script": "opt03_ftbc_threshold_balance.py", |
| "hf_folder": "applied/opt03_ftbc_threshold_balance", |
| "phase": 7, |
| "status": "ok", |
| "duration_s": 386.5, |
| "optimization_summary": { |
| "optimization": "ftbc_threshold_balance", |
| "research_section": "2. Temporal-Dimension Reduction (threshold balancing + FTBC)", |
| "reference": "Rueckauer et al. arXiv:1612.04052; Sengupta et al. arXiv:1802.02627; FTBC: Forward Temporal Bias Correction, ECCV 2024", |
| "script": "opt03_ftbc_threshold_balance.py", |
| "baseline_mode": false, |
| "method": "harmonic_matched", |
| "accuracy": { |
| "test_acc": 0.9357142857142857, |
| "test_target_acc": 0.9357142857142857, |
| "best_val_acc": 0.945 |
| }, |
| "efficiency": { |
| "spikes_per_inference": null, |
| "syn_ops_per_inference": 3264603.7832792206, |
| "dense_macs_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.026611766545147027, |
| "syn_ops_per_inference_dense_fanout": 64841221.5698052, |
| "weight_sparsity": 0.7324707846410685, |
| "effective_ticks": 12.280714285714286, |
| "num_ticks": 100, |
| "membrane_bytes_per_inference": 451200, |
| "weight_bytes": 4907008, |
| "input_raster_bytes": null, |
| "train_ms_per_step": 97.85671250001542, |
| "infer_ms_per_sample": 0.6403399928126419, |
| "peak_vram_mb": 2825.387008 |
| }, |
| "optimization_specific": { |
| "calibrate_thresh": true, |
| "ftbc": true, |
| "calib_percentile": 99.9, |
| "calib_batches": 8, |
| "ftbc_target_ticks": 8, |
| "ftbc_ref_ticks": 25, |
| "trained_T": 100, |
| "thresh_before": [ |
| 1.0, |
| 1.0, |
| 1.0, |
| 1.0 |
| ], |
| "thresh_after": [ |
| 2.3277933597564697, |
| 0.8438996076583862, |
| 1.0949429273605347, |
| 2.7184956073760986 |
| ], |
| "min_ticks_within_1pct_of_full": null, |
| "min_ticks_within_1pct_per_arm": { |
| "raw": 100, |
| "thresh": 50, |
| "ftbc": 100, |
| "both": null |
| }, |
| "speedup_at_min_ticks": null, |
| "full_T_acc": 0.9471428571428572, |
| "t_sweep_rows": [ |
| { |
| "T": 4, |
| "arm": "raw", |
| "acc": 0.29928571428571427, |
| "syn_per_inference": 1866356.1696428573, |
| "dense_per_inference": 4907008.0, |
| "event_fraction_of_dense": 0.38034504317964374 |
| }, |
| { |
| "T": 4, |
| "arm": "thresh", |
| "acc": 0.4421428571428571, |
| "syn_per_inference": 1826142.4926948054, |
| "dense_per_inference": 4907008.0, |
| "event_fraction_of_dense": 0.37214989107309493 |
| }, |
| { |
| "T": 4, |
| "arm": "ftbc", |
| "acc": 0.1457142857142857, |
| "syn_per_inference": 1930750.6753246754, |
| "dense_per_inference": 4907008.0, |
| "event_fraction_of_dense": 0.39346801051163466 |
| }, |
| { |
| "T": 4, |
| "arm": "both", |
| "acc": 0.23785714285714285, |
| "syn_per_inference": 1891963.7873376624, |
| "dense_per_inference": 4907008.0, |
| "event_fraction_of_dense": 0.385563623971606 |
| }, |
| { |
| "T": 8, |
| "arm": "raw", |
| "acc": 0.6071428571428571, |
| "syn_per_inference": 2047413.7930194808, |
| "dense_per_inference": 9814016.0, |
| "event_fraction_of_dense": 0.2086214036149402 |
| }, |
| { |
| "T": 8, |
| "arm": "thresh", |
| "acc": 0.7614285714285715, |
| "syn_per_inference": 1950466.1079545454, |
| "dense_per_inference": 9814016.0, |
| "event_fraction_of_dense": 0.19874291095047586 |
| }, |
| { |
| "T": 8, |
| "arm": "ftbc", |
| "acc": 0.22642857142857142, |
| "syn_per_inference": 2217957.851461039, |
| "dense_per_inference": 9814016.0, |
| "event_fraction_of_dense": 0.2259990050414671 |
| }, |
| { |
| "T": 8, |
| "arm": "both", |
| "acc": 0.4878571428571429, |
| "syn_per_inference": 2107893.627435065, |
| "dense_per_inference": 9814016.0, |
| "event_fraction_of_dense": 0.21478400151732632 |
| }, |
| { |
| "T": 16, |
| "arm": "raw", |
| "acc": 0.795, |
| "syn_per_inference": 2334632.549512987, |
| "dense_per_inference": 19628032.0, |
| "event_fraction_of_dense": 0.11894379169103592 |
| }, |
| { |
| "T": 16, |
| "arm": "thresh", |
| "acc": 0.8978571428571429, |
| "syn_per_inference": 2122709.396103896, |
| "dense_per_inference": 19628032.0, |
| "event_fraction_of_dense": 0.1081468277667316 |
| }, |
| { |
| "T": 16, |
| "arm": "ftbc", |
| "acc": 0.49642857142857144, |
| "syn_per_inference": 2581577.3790584416, |
| "dense_per_inference": 19628032.0, |
| "event_fraction_of_dense": 0.13152502395851207 |
| }, |
| { |
| "T": 16, |
| "arm": "both", |
| "acc": 0.8085714285714286, |
| "syn_per_inference": 2327981.189935065, |
| "dense_per_inference": 19628032.0, |
| "event_fraction_of_dense": 0.118604921264397 |
| }, |
| { |
| "T": 25, |
| "arm": "raw", |
| "acc": 0.8828571428571429, |
| "syn_per_inference": 2554239.542207792, |
| "dense_per_inference": 30668800.0, |
| "event_fraction_of_dense": 0.08328462614147902 |
| }, |
| { |
| "T": 25, |
| "arm": "thresh", |
| "acc": 0.9221428571428572, |
| "syn_per_inference": 2240504.061688312, |
| "dense_per_inference": 30668800.0, |
| "event_fraction_of_dense": 0.07305483297971593 |
| }, |
| { |
| "T": 25, |
| "arm": "ftbc", |
| "acc": 0.7678571428571429, |
| "syn_per_inference": 2843913.9107142854, |
| "dense_per_inference": 30668800.0, |
| "event_fraction_of_dense": 0.09272987240173354 |
| }, |
| { |
| "T": 25, |
| "arm": "both", |
| "acc": 0.8828571428571429, |
| "syn_per_inference": 2468573.5324675324, |
| "dense_per_inference": 30668800.0, |
| "event_fraction_of_dense": 0.08049136361603755 |
| }, |
| { |
| "T": 50, |
| "arm": "raw", |
| "acc": 0.9335714285714286, |
| "syn_per_inference": 2908471.4699675324, |
| "dense_per_inference": 61337600.0, |
| "event_fraction_of_dense": 0.04741743188464388 |
| }, |
| { |
| "T": 50, |
| "arm": "thresh", |
| "acc": 0.9385714285714286, |
| "syn_per_inference": 2421485.2816558443, |
| "dense_per_inference": 61337600.0, |
| "event_fraction_of_dense": 0.039477991992771876 |
| }, |
| { |
| "T": 50, |
| "arm": "ftbc", |
| "acc": 0.9185714285714286, |
| "syn_per_inference": 3242881.149350649, |
| "dense_per_inference": 61337600.0, |
| "event_fraction_of_dense": 0.05286938434745815 |
| }, |
| { |
| "T": 50, |
| "arm": "both", |
| "acc": 0.9285714285714286, |
| "syn_per_inference": 2676649.548701299, |
| "dense_per_inference": 61337600.0, |
| "event_fraction_of_dense": 0.043637989564334095 |
| }, |
| { |
| "T": 100, |
| "arm": "raw", |
| "acc": 0.9471428571428572, |
| "syn_per_inference": 3264602.8230519476, |
| "dense_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.026611758717751816 |
| }, |
| { |
| "T": 100, |
| "arm": "thresh", |
| "acc": 0.9357142857142857, |
| "syn_per_inference": 2689589.7467532465, |
| "dense_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.02192447818917961 |
| }, |
| { |
| "T": 100, |
| "arm": "ftbc", |
| "acc": 0.9428571428571428, |
| "syn_per_inference": 3643597.5600649347, |
| "dense_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.029701174810107787 |
| }, |
| { |
| "T": 100, |
| "arm": "both", |
| "acc": 0.9314285714285714, |
| "syn_per_inference": 2949095.00974026, |
| "dense_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.024039863067190925 |
| } |
| ], |
| "calibration_reference": "same network at full T (NOT a source ANN)" |
| }, |
| "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": "spikecount", |
| "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/opt03_ftbc_threshold_balance/ftbc_ref_ticks_25", |
| "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, |
| "calibrate_thresh": true, |
| "calib_percentile": 99.9, |
| "calib_batches": 8, |
| "ftbc": true, |
| "ftbc_target_ticks": 8, |
| "ftbc_ref_ticks": 25, |
| "ftbc_lr": 1.0, |
| "t_sweep": "4,8,16,25,50,100", |
| "sampling_rate": 250.0 |
| } |
| }, |
| "zip": { |
| "name": "ftbc_ref_ticks_25.zip", |
| "files": 81, |
| "bytes": 12245889, |
| "MB": 12.2, |
| "sha256": "cf78b5486d0a886d731d0302948dd4676970143adfcc5145211d7413c97f33c7" |
| } |
| }, |
| { |
| "key": "opt03_ftbc_threshold_balance/t_sweep_ultra_low", |
| "tag": "t_sweep_ultra_low", |
| "script": "opt03_ftbc_threshold_balance.py", |
| "hf_folder": "applied/opt03_ftbc_threshold_balance", |
| "phase": 8, |
| "status": "ok", |
| "duration_s": 361.4, |
| "optimization_summary": { |
| "optimization": "ftbc_threshold_balance", |
| "research_section": "2. Temporal-Dimension Reduction (threshold balancing + FTBC)", |
| "reference": "Rueckauer et al. arXiv:1612.04052; Sengupta et al. arXiv:1802.02627; FTBC: Forward Temporal Bias Correction, ECCV 2024", |
| "script": "opt03_ftbc_threshold_balance.py", |
| "baseline_mode": false, |
| "method": "harmonic_matched", |
| "accuracy": { |
| "test_acc": 0.9242857142857143, |
| "test_target_acc": 0.9242857142857143, |
| "best_val_acc": 0.9464285714285714 |
| }, |
| "efficiency": { |
| "spikes_per_inference": null, |
| "syn_ops_per_inference": 3280250.712662338, |
| "dense_macs_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.026739314161805628, |
| "syn_ops_per_inference_dense_fanout": 64856868.49918831, |
| "weight_sparsity": 0.7324707846410685, |
| "effective_ticks": 12.063571428571429, |
| "num_ticks": 100, |
| "membrane_bytes_per_inference": 451200, |
| "weight_bytes": 4907008, |
| "input_raster_bytes": null, |
| "train_ms_per_step": 98.6024443000133, |
| "infer_ms_per_sample": 0.6513143553127065, |
| "peak_vram_mb": 2825.365504 |
| }, |
| "optimization_specific": { |
| "calibrate_thresh": true, |
| "ftbc": true, |
| "calib_percentile": 99.9, |
| "calib_batches": 8, |
| "ftbc_target_ticks": 8, |
| "ftbc_ref_ticks": 100, |
| "trained_T": 100, |
| "thresh_before": [ |
| 1.0, |
| 1.0, |
| 1.0, |
| 1.0 |
| ], |
| "thresh_after": [ |
| 2.332289695739746, |
| 0.8534926176071167, |
| 1.113392949104309, |
| 2.6782219409942627 |
| ], |
| "min_ticks_within_1pct_of_full": null, |
| "min_ticks_within_1pct_per_arm": { |
| "raw": 25, |
| "thresh": 16, |
| "ftbc": null, |
| "both": null |
| }, |
| "speedup_at_min_ticks": null, |
| "full_T_acc": 0.8828571428571429, |
| "t_sweep_rows": [ |
| { |
| "T": 2, |
| "arm": "raw", |
| "acc": 0.02642857142857143, |
| "syn_per_inference": 1752319.4204545454, |
| "dense_per_inference": 2453504.0, |
| "event_fraction_of_dense": 0.7142109490975134 |
| }, |
| { |
| "T": 2, |
| "arm": "thresh", |
| "acc": 0.03214285714285714, |
| "syn_per_inference": 1738330.94237013, |
| "dense_per_inference": 2453504.0, |
| "event_fraction_of_dense": 0.7085095204124917 |
| }, |
| { |
| "T": 2, |
| "arm": "ftbc", |
| "acc": 0.04428571428571428, |
| "syn_per_inference": 1793459.4740259738, |
| "dense_per_inference": 2453504.0, |
| "event_fraction_of_dense": 0.7309788262118072 |
| }, |
| { |
| "T": 2, |
| "arm": "both", |
| "acc": 0.07714285714285714, |
| "syn_per_inference": 1784578.0275974027, |
| "dense_per_inference": 2453504.0, |
| "event_fraction_of_dense": 0.72735892323689 |
| }, |
| { |
| "T": 3, |
| "arm": "raw", |
| "acc": 0.14642857142857144, |
| "syn_per_inference": 1817622.8660714284, |
| "dense_per_inference": 3680256.0, |
| "event_fraction_of_dense": 0.49388489987420126 |
| }, |
| { |
| "T": 3, |
| "arm": "thresh", |
| "acc": 0.22714285714285715, |
| "syn_per_inference": 1790499.9334415584, |
| "dense_per_inference": 3680256.0, |
| "event_fraction_of_dense": 0.4865150504316978 |
| }, |
| { |
| "T": 3, |
| "arm": "ftbc", |
| "acc": 0.08428571428571428, |
| "syn_per_inference": 1893111.2353896103, |
| "dense_per_inference": 3680256.0, |
| "event_fraction_of_dense": 0.5143966168086161 |
| }, |
| { |
| "T": 3, |
| "arm": "both", |
| "acc": 0.14714285714285713, |
| "syn_per_inference": 1874461.9123376624, |
| "dense_per_inference": 3680256.0, |
| "event_fraction_of_dense": 0.5093292184939479 |
| }, |
| { |
| "T": 4, |
| "arm": "raw", |
| "acc": 0.26785714285714285, |
| "syn_per_inference": 1874738.8027597403, |
| "dense_per_inference": 4907008.0, |
| "event_fraction_of_dense": 0.3820533414169572 |
| }, |
| { |
| "T": 4, |
| "arm": "thresh", |
| "acc": 0.3871428571428571, |
| "syn_per_inference": 1833943.452922078, |
| "dense_per_inference": 4907008.0, |
| "event_fraction_of_dense": 0.37373965009269966 |
| }, |
| { |
| "T": 4, |
| "arm": "ftbc", |
| "acc": 0.135, |
| "syn_per_inference": 1990891.393668831, |
| "dense_per_inference": 4907008.0, |
| "event_fraction_of_dense": 0.4057240977941815 |
| }, |
| { |
| "T": 4, |
| "arm": "both", |
| "acc": 0.21142857142857144, |
| "syn_per_inference": 1961136.798701299, |
| "dense_per_inference": 4907008.0, |
| "event_fraction_of_dense": 0.39966040379418555 |
| }, |
| { |
| "T": 6, |
| "arm": "raw", |
| "acc": 0.4764285714285714, |
| "syn_per_inference": 1969987.3693181819, |
| "dense_per_inference": 7360512.0, |
| "event_fraction_of_dense": 0.26764270872979784 |
| }, |
| { |
| "T": 6, |
| "arm": "thresh", |
| "acc": 0.6278571428571429, |
| "syn_per_inference": 1902471.609577922, |
| "dense_per_inference": 7360512.0, |
| "event_fraction_of_dense": 0.25847000990935437 |
| }, |
| { |
| "T": 6, |
| "arm": "ftbc", |
| "acc": 0.255, |
| "syn_per_inference": 2175123.340909091, |
| "dense_per_inference": 7360512.0, |
| "event_fraction_of_dense": 0.29551250523184946 |
| }, |
| { |
| "T": 6, |
| "arm": "both", |
| "acc": 0.3507142857142857, |
| "syn_per_inference": 2125190.585227273, |
| "dense_per_inference": 7360512.0, |
| "event_fraction_of_dense": 0.28872863534863785 |
| }, |
| { |
| "T": 8, |
| "arm": "raw", |
| "acc": 0.6135714285714285, |
| "syn_per_inference": 2061354.8465909092, |
| "dense_per_inference": 9814016.0, |
| "event_fraction_of_dense": 0.21004192846138717 |
| }, |
| { |
| "T": 8, |
| "arm": "thresh", |
| "acc": 0.7464285714285714, |
| "syn_per_inference": 1962566.861201299, |
| "dense_per_inference": 9814016.0, |
| "event_fraction_of_dense": 0.19997591823788538 |
| }, |
| { |
| "T": 8, |
| "arm": "ftbc", |
| "acc": 0.32357142857142857, |
| "syn_per_inference": 2363100.6761363638, |
| "dense_per_inference": 9814016.0, |
| "event_fraction_of_dense": 0.2407883455800728 |
| }, |
| { |
| "T": 8, |
| "arm": "both", |
| "acc": 0.4635714285714286, |
| "syn_per_inference": 2291690.112012987, |
| "dense_per_inference": 9814016.0, |
| "event_fraction_of_dense": 0.2335119600388859 |
| }, |
| { |
| "T": 12, |
| "arm": "raw", |
| "acc": 0.7221428571428572, |
| "syn_per_inference": 2225777.935064935, |
| "dense_per_inference": 14721024.0, |
| "event_fraction_of_dense": 0.15119722208624448 |
| }, |
| { |
| "T": 12, |
| "arm": "thresh", |
| "acc": 0.8571428571428571, |
| "syn_per_inference": 2062856.625, |
| "dense_per_inference": 14721024.0, |
| "event_fraction_of_dense": 0.1401299682005817 |
| }, |
| { |
| "T": 12, |
| "arm": "ftbc", |
| "acc": 0.47714285714285715, |
| "syn_per_inference": 2584647.832792208, |
| "dense_per_inference": 14721024.0, |
| "event_fraction_of_dense": 0.17557527470862136 |
| }, |
| { |
| "T": 12, |
| "arm": "both", |
| "acc": 0.5707142857142857, |
| "syn_per_inference": 2447611.5698051946, |
| "dense_per_inference": 14721024.0, |
| "event_fraction_of_dense": 0.1662663935474322 |
| }, |
| { |
| "T": 16, |
| "arm": "raw", |
| "acc": 0.8064285714285714, |
| "syn_per_inference": 2357961.4675324676, |
| "dense_per_inference": 19628032.0, |
| "event_fraction_of_dense": 0.12013234273983595 |
| }, |
| { |
| "T": 16, |
| "arm": "thresh", |
| "acc": 0.8921428571428571, |
| "syn_per_inference": 2139811.6217532465, |
| "dense_per_inference": 19628032.0, |
| "event_fraction_of_dense": 0.10901814413962879 |
| }, |
| { |
| "T": 16, |
| "arm": "ftbc", |
| "acc": 0.6371428571428571, |
| "syn_per_inference": 2753975.573051948, |
| "dense_per_inference": 19628032.0, |
| "event_fraction_of_dense": 0.14030828832212766 |
| }, |
| { |
| "T": 16, |
| "arm": "both", |
| "acc": 0.6585714285714286, |
| "syn_per_inference": 2552953.403409091, |
| "dense_per_inference": 19628032.0, |
| "event_fraction_of_dense": 0.13006670273459361 |
| }, |
| { |
| "T": 25, |
| "arm": "raw", |
| "acc": 0.8828571428571429, |
| "syn_per_inference": 2582600.840909091, |
| "dense_per_inference": 30668800.0, |
| "event_fraction_of_dense": 0.08420938676795606 |
| }, |
| { |
| "T": 25, |
| "arm": "thresh", |
| "acc": 0.9257142857142857, |
| "syn_per_inference": 2259412.2305194805, |
| "dense_per_inference": 30668800.0, |
| "event_fraction_of_dense": 0.07367136081357864 |
| }, |
| { |
| "T": 25, |
| "arm": "ftbc", |
| "acc": 0.8107142857142857, |
| "syn_per_inference": 3033411.4326298703, |
| "dense_per_inference": 30668800.0, |
| "event_fraction_of_dense": 0.09890870958856787 |
| }, |
| { |
| "T": 25, |
| "arm": "both", |
| "acc": 0.765, |
| "syn_per_inference": 2715560.4196428573, |
| "dense_per_inference": 30668800.0, |
| "event_fraction_of_dense": 0.08854472361627638 |
| } |
| ], |
| "calibration_reference": "same network at full T (NOT a source ANN)" |
| }, |
| "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": "spikecount", |
| "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/opt03_ftbc_threshold_balance/t_sweep_ultra_low", |
| "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, |
| "calibrate_thresh": true, |
| "calib_percentile": 99.9, |
| "calib_batches": 8, |
| "ftbc": true, |
| "ftbc_target_ticks": 8, |
| "ftbc_ref_ticks": 0, |
| "ftbc_lr": 1.0, |
| "t_sweep": "2,3,4,6,8,12,16,25", |
| "sampling_rate": 250.0 |
| } |
| }, |
| "zip": { |
| "name": "t_sweep_ultra_low.zip", |
| "files": 81, |
| "bytes": 12250607, |
| "MB": 12.3, |
| "sha256": "39c7a527158f3ac451c03f8cd69f8d779aa19f416260eb3eb5582179915c5f2a" |
| } |
| }, |
| { |
| "key": "opt03_ftbc_threshold_balance/thresh_only", |
| "tag": "thresh_only", |
| "script": "opt03_ftbc_threshold_balance.py", |
| "hf_folder": "applied/opt03_ftbc_threshold_balance", |
| "phase": 8, |
| "status": "ok", |
| "duration_s": 361.1, |
| "optimization_summary": { |
| "optimization": "ftbc_threshold_balance", |
| "research_section": "2. Temporal-Dimension Reduction (threshold balancing + FTBC)", |
| "reference": "Rueckauer et al. arXiv:1612.04052; Sengupta et al. arXiv:1802.02627; FTBC: Forward Temporal Bias Correction, ECCV 2024", |
| "script": "opt03_ftbc_threshold_balance.py", |
| "baseline_mode": false, |
| "method": "harmonic_matched", |
| "accuracy": { |
| "test_acc": 0.93, |
| "test_target_acc": 0.93, |
| "best_val_acc": 0.9442857142857143 |
| }, |
| "efficiency": { |
| "spikes_per_inference": null, |
| "syn_ops_per_inference": 3291572.5738636362, |
| "dense_macs_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.026831605523069343, |
| "syn_ops_per_inference_dense_fanout": 64868190.36038961, |
| "weight_sparsity": 0.7324707846410685, |
| "effective_ticks": 12.039285714285715, |
| "num_ticks": 100, |
| "membrane_bytes_per_inference": 451200, |
| "weight_bytes": 4907008, |
| "input_raster_bytes": null, |
| "train_ms_per_step": 98.61616005000542, |
| "infer_ms_per_sample": 0.648547162812747, |
| "peak_vram_mb": 2825.319424 |
| }, |
| "optimization_specific": { |
| "calibrate_thresh": true, |
| "ftbc": false, |
| "calib_percentile": 99.9, |
| "calib_batches": 8, |
| "ftbc_target_ticks": 8, |
| "ftbc_ref_ticks": 100, |
| "trained_T": 100, |
| "thresh_before": [ |
| 1.0, |
| 1.0, |
| 1.0, |
| 1.0 |
| ], |
| "thresh_after": [ |
| 2.316941022872925, |
| 0.8509324193000793, |
| 1.1109048128128052, |
| 2.703218460083008 |
| ], |
| "min_ticks_within_1pct_of_full": 50, |
| "min_ticks_within_1pct_per_arm": { |
| "raw": 50, |
| "thresh": 50 |
| }, |
| "speedup_at_min_ticks": 2.0, |
| "full_T_acc": 0.9457142857142857, |
| "t_sweep_rows": [ |
| { |
| "T": 4, |
| "arm": "raw", |
| "acc": 0.2742857142857143, |
| "syn_per_inference": 1874088.702922078, |
| "dense_per_inference": 4907008.0, |
| "event_fraction_of_dense": 0.38192085745979587 |
| }, |
| { |
| "T": 4, |
| "arm": "thresh", |
| "acc": 0.41285714285714287, |
| "syn_per_inference": 1834095.9163961038, |
| "dense_per_inference": 4907008.0, |
| "event_fraction_of_dense": 0.3737707206501607 |
| }, |
| { |
| "T": 8, |
| "arm": "raw", |
| "acc": 0.595, |
| "syn_per_inference": 2061721.9034090908, |
| "dense_per_inference": 9814016.0, |
| "event_fraction_of_dense": 0.2100793297472809 |
| }, |
| { |
| "T": 8, |
| "arm": "thresh", |
| "acc": 0.7728571428571429, |
| "syn_per_inference": 1963701.1875, |
| "dense_per_inference": 9814016.0, |
| "event_fraction_of_dense": 0.20009150051314364 |
| }, |
| { |
| "T": 16, |
| "arm": "raw", |
| "acc": 0.8207142857142857, |
| "syn_per_inference": 2358720.708603896, |
| "dense_per_inference": 19628032.0, |
| "event_fraction_of_dense": 0.1201710242068026 |
| }, |
| { |
| "T": 16, |
| "arm": "thresh", |
| "acc": 0.9035714285714286, |
| "syn_per_inference": 2142573.9935064935, |
| "dense_per_inference": 19628032.0, |
| "event_fraction_of_dense": 0.1091588801927006 |
| }, |
| { |
| "T": 25, |
| "arm": "raw", |
| "acc": 0.89, |
| "syn_per_inference": 2583865.2305194805, |
| "dense_per_inference": 30668800.0, |
| "event_fraction_of_dense": 0.08425061399596595 |
| }, |
| { |
| "T": 25, |
| "arm": "thresh", |
| "acc": 0.9307142857142857, |
| "syn_per_inference": 2263356.4123376627, |
| "dense_per_inference": 30668800.0, |
| "event_fraction_of_dense": 0.07379996649160263 |
| }, |
| { |
| "T": 50, |
| "arm": "raw", |
| "acc": 0.9385714285714286, |
| "syn_per_inference": 2942934.289772727, |
| "dense_per_inference": 61337600.0, |
| "event_fraction_of_dense": 0.047979286600270094 |
| }, |
| { |
| "T": 50, |
| "arm": "thresh", |
| "acc": 0.9421428571428572, |
| "syn_per_inference": 2448527.6655844157, |
| "dense_per_inference": 61337600.0, |
| "event_fraction_of_dense": 0.039918869756632405 |
| }, |
| { |
| "T": 100, |
| "arm": "raw", |
| "acc": 0.9457142857142857, |
| "syn_per_inference": 3291572.496753247, |
| "dense_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.026831604894495768 |
| }, |
| { |
| "T": 100, |
| "arm": "thresh", |
| "acc": 0.93, |
| "syn_per_inference": 2714702.452922078, |
| "dense_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.02212918709667543 |
| } |
| ], |
| "calibration_reference": "same network at full T (NOT a source ANN)" |
| }, |
| "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": "spikecount", |
| "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/opt03_ftbc_threshold_balance/thresh_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, |
| "calibrate_thresh": true, |
| "calib_percentile": 99.9, |
| "calib_batches": 8, |
| "ftbc": false, |
| "ftbc_target_ticks": 8, |
| "ftbc_ref_ticks": 0, |
| "ftbc_lr": 1.0, |
| "t_sweep": "4,8,16,25,50,100", |
| "sampling_rate": 250.0 |
| } |
| }, |
| "zip": { |
| "name": "thresh_only.zip", |
| "files": 81, |
| "bytes": 12246575, |
| "MB": 12.2, |
| "sha256": "17a308e5444a23727992a34377bb7f0dc5f72c901454d5a8a2380dbb443a30b6" |
| } |
| }, |
| { |
| "key": "opt04_cudagraph_unroll/bench_batches_wide", |
| "tag": "bench_batches_wide", |
| "script": "opt04_cudagraph_unroll.py", |
| "hf_folder": "applied/opt04_cudagraph_unroll", |
| "phase": 8, |
| "status": "ok", |
| "duration_s": 639.6, |
| "optimization_summary": { |
| "optimization": "cudagraph_static_unroll", |
| "research_section": "2. Temporal-dimension reduction / 5. OS & runtime", |
| "reference": "CUDA Graphs static capture/replay applied to the unrolled T-tick event-driven inference loop", |
| "script": "opt04_cudagraph_unroll.py", |
| "baseline_mode": false, |
| "method": "harmonic_matched", |
| "accuracy": { |
| "test_acc": 0.9492857142857143, |
| "test_target_acc": 0.9492857142857143, |
| "best_val_acc": 0.9428571428571428 |
| }, |
| "efficiency": { |
| "spikes_per_inference": null, |
| "syn_ops_per_inference": 3288914.2832792206, |
| "dense_macs_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.02680993618334611, |
| "syn_ops_per_inference_dense_fanout": 64865532.0698052, |
| "weight_sparsity": 0.7324707846410685, |
| "effective_ticks": 12.153571428571428, |
| "num_ticks": 100, |
| "membrane_bytes_per_inference": 451200, |
| "weight_bytes": 4907008, |
| "input_raster_bytes": null, |
| "train_ms_per_step": 96.87458276748657, |
| "infer_ms_per_sample": 0.6550618261098862, |
| "peak_vram_mb": 2804.85888 |
| }, |
| "optimization_specific": { |
| "graph_enabled": true, |
| "event_capacity_scan": { |
| "cap_scan": 98901, |
| "batch_size_scan": 64, |
| "n_batches_scanned": 20, |
| "density_per_sample": 1545.328125, |
| "per_layer_caps": [ |
| 98901, |
| 7935, |
| 3512, |
| 3383 |
| ] |
| }, |
| "capacity": 98901, |
| "overflow_ticks_frac": 0.0, |
| "graph_vs_eager_pred_agreement": 1.0, |
| "graph_capture_ms": 246.45113945007324, |
| "graphed_acc": 0.9492857142857143, |
| "kernel_launches_eager": 400, |
| "kernel_launches_graphed": 2, |
| "launch_reduction_x": 200.0, |
| "bench_batches": { |
| "1": { |
| "ms_per_sample_eager": 155.08618831634521, |
| "ms_per_sample_graphed": 32.538652420043945, |
| "throughput_eager_samples_per_s": 6.4480274539999485, |
| "throughput_graphed_samples_per_s": 30.732680231833935, |
| "speedup_x": 4.766214233900218, |
| "capacity": 1546 |
| }, |
| "4": { |
| "ms_per_sample_eager": 39.0606689453125, |
| "ms_per_sample_graphed": 15.353316068649292, |
| "throughput_eager_samples_per_s": 25.601200056252637, |
| "throughput_graphed_samples_per_s": 65.13250919402033, |
| "speedup_x": 2.5441193792051506, |
| "capacity": 6182 |
| }, |
| "16": { |
| "ms_per_sample_eager": 10.658027529716492, |
| "ms_per_sample_graphed": 11.284635066986084, |
| "throughput_eager_samples_per_s": 93.82599146153645, |
| "throughput_graphed_samples_per_s": 88.61606902340718, |
| "speedup_x": 0.9444725032267306, |
| "capacity": 24726 |
| }, |
| "64": { |
| "ms_per_sample_eager": 3.5885700583457947, |
| "ms_per_sample_graphed": 9.764026775956154, |
| "throughput_eager_samples_per_s": 278.66252678398735, |
| "throughput_graphed_samples_per_s": 102.41676133687925, |
| "speedup_x": 0.3675297232062721, |
| "capacity": 98901 |
| }, |
| "256": { |
| "ms_per_sample_eager": 1.2360872328281403, |
| "ms_per_sample_graphed": 9.808671623468399, |
| "throughput_eager_samples_per_s": 809.0043917952473, |
| "throughput_graphed_samples_per_s": 101.95060436189773, |
| "speedup_x": 0.1260198404308547, |
| "capacity": 395604 |
| } |
| }, |
| "speedup_x_at_batch1": 4.766214233900218 |
| }, |
| "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": "spikecount", |
| "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/opt04_cudagraph_unroll/bench_batches_wide", |
| "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, |
| "event_capacity": 0, |
| "graph_warmup": 3, |
| "bench_batches": "1,4,16,64,256", |
| "sampling_rate": 250.0 |
| } |
| }, |
| "zip": { |
| "name": "bench_batches_wide.zip", |
| "files": 78, |
| "bytes": 7977178, |
| "MB": 8.0, |
| "sha256": "20c84fb916addc61aa295dfeead6cf4874dd253da092adb70e951ec451943fe1" |
| } |
| }, |
| { |
| "key": "opt04_cudagraph_unroll/bench_deep", |
| "tag": "bench_deep", |
| "script": "opt04_cudagraph_unroll.py", |
| "hf_folder": "applied/opt04_cudagraph_unroll", |
| "phase": 8, |
| "status": "ok", |
| "duration_s": 515.1, |
| "optimization_summary": { |
| "optimization": "cudagraph_static_unroll", |
| "research_section": "2. Temporal-dimension reduction / 5. OS & runtime", |
| "reference": "CUDA Graphs static capture/replay applied to the unrolled T-tick event-driven inference loop", |
| "script": "opt04_cudagraph_unroll.py", |
| "baseline_mode": false, |
| "method": "harmonic_matched", |
| "accuracy": { |
| "test_acc": 0.9471428571428572, |
| "test_target_acc": 0.9471428571428572, |
| "best_val_acc": 0.9478571428571428 |
| }, |
| "efficiency": { |
| "spikes_per_inference": null, |
| "syn_ops_per_inference": 3288532.137987013, |
| "dense_macs_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.026806821085166462, |
| "syn_ops_per_inference_dense_fanout": 64865149.92451298, |
| "weight_sparsity": 0.7324707846410685, |
| "effective_ticks": 12.623571428571429, |
| "num_ticks": 100, |
| "membrane_bytes_per_inference": 451200, |
| "weight_bytes": 4907008, |
| "input_raster_bytes": null, |
| "train_ms_per_step": 99.1249680519104, |
| "infer_ms_per_sample": 0.6687609851360321, |
| "peak_vram_mb": 2804.772352 |
| }, |
| "optimization_specific": { |
| "graph_enabled": true, |
| "event_capacity_scan": { |
| "cap_scan": 98901, |
| "batch_size_scan": 64, |
| "n_batches_scanned": 20, |
| "density_per_sample": 1545.328125, |
| "per_layer_caps": [ |
| 98901, |
| 7862, |
| 3565, |
| 3290 |
| ] |
| }, |
| "capacity": 98901, |
| "overflow_ticks_frac": 0.0, |
| "graph_vs_eager_pred_agreement": 1.0, |
| "graph_capture_ms": 230.26442527770996, |
| "graphed_acc": 0.9471428571428572, |
| "kernel_launches_eager": 400, |
| "kernel_launches_graphed": 2, |
| "launch_reduction_x": 200.0, |
| "bench_batches": { |
| "1": { |
| "ms_per_sample_eager": 152.34436988830566, |
| "ms_per_sample_graphed": 32.587409019470215, |
| "throughput_eager_samples_per_s": 6.564075854809535, |
| "throughput_graphed_samples_per_s": 30.686698638806277, |
| "speedup_x": 4.674945768081269, |
| "capacity": 1546 |
| }, |
| "8": { |
| "ms_per_sample_eager": 19.862996339797974, |
| "ms_per_sample_graphed": 12.355670928955078, |
| "throughput_eager_samples_per_s": 50.34487158397024, |
| "throughput_graphed_samples_per_s": 80.93449605043585, |
| "speedup_x": 1.607601598813201, |
| "capacity": 12363 |
| }, |
| "32": { |
| "ms_per_sample_eager": 5.842189788818359, |
| "ms_per_sample_graphed": 11.338528245687485, |
| "throughput_eager_samples_per_s": 171.16869464151043, |
| "throughput_graphed_samples_per_s": 88.19486782866565, |
| "speedup_x": 0.5152511562548153, |
| "capacity": 49451 |
| }, |
| "128": { |
| "ms_per_sample_eager": 2.0107360556721687, |
| "ms_per_sample_graphed": 9.604028947651386, |
| "throughput_eager_samples_per_s": 497.33031701453734, |
| "throughput_graphed_samples_per_s": 104.1229681262617, |
| "speedup_x": 0.2093638062350784, |
| "capacity": 197802 |
| } |
| }, |
| "speedup_x_at_batch1": 4.674945768081269 |
| }, |
| "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": "spikecount", |
| "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/opt04_cudagraph_unroll/bench_deep", |
| "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": 50, |
| "bench_iters": 300, |
| "bench_train_steps": 60, |
| "event_capacity": 0, |
| "graph_warmup": 3, |
| "bench_batches": "1,8,32,128", |
| "sampling_rate": 250.0 |
| } |
| }, |
| "zip": { |
| "name": "bench_deep.zip", |
| "files": 81, |
| "bytes": 12255264, |
| "MB": 12.3, |
| "sha256": "70a596bb1874f408054a990df12a3c72c0bde75bfcf9116e0193c989df6825e7" |
| } |
| }, |
| { |
| "key": "opt04_cudagraph_unroll/event_capacity_256", |
| "tag": "event_capacity_256", |
| "script": "opt04_cudagraph_unroll.py", |
| "hf_folder": "applied/opt04_cudagraph_unroll", |
| "phase": 8, |
| "status": "ok", |
| "duration_s": 397.3, |
| "optimization_summary": { |
| "optimization": "cudagraph_static_unroll", |
| "research_section": "2. Temporal-dimension reduction / 5. OS & runtime", |
| "reference": "CUDA Graphs static capture/replay applied to the unrolled T-tick event-driven inference loop", |
| "script": "opt04_cudagraph_unroll.py", |
| "baseline_mode": false, |
| "method": "harmonic_matched", |
| "accuracy": { |
| "test_acc": 0.9442857142857143, |
| "test_target_acc": 0.9442857142857143, |
| "best_val_acc": 0.9478571428571428 |
| }, |
| "efficiency": { |
| "spikes_per_inference": null, |
| "syn_ops_per_inference": 3278366.112824675, |
| "dense_macs_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.026723951644869338, |
| "syn_ops_per_inference_dense_fanout": 64854983.89935065, |
| "weight_sparsity": 0.7324707846410685, |
| "effective_ticks": 12.275, |
| "num_ticks": 100, |
| "membrane_bytes_per_inference": 451200, |
| "weight_bytes": 4907008, |
| "input_raster_bytes": null, |
| "train_ms_per_step": 104.75021600723267, |
| "infer_ms_per_sample": 0.7042399048805237, |
| "peak_vram_mb": 2804.35968 |
| }, |
| "optimization_specific": { |
| "graph_enabled": true, |
| "capacity": 256, |
| "overflow_ticks_frac": 0.8656818181818179, |
| "graph_vs_eager_pred_agreement": 0.030714285714285715, |
| "graph_capture_ms": 229.66456413269043, |
| "graphed_acc": 0.029285714285714286, |
| "kernel_launches_eager": 400, |
| "kernel_launches_graphed": 2, |
| "launch_reduction_x": 200.0, |
| "bench_batches": { |
| "1": { |
| "ms_per_sample_eager": 155.55429935455322, |
| "ms_per_sample_graphed": 24.810490608215332, |
| "throughput_eager_samples_per_s": 6.428623343419849, |
| "throughput_graphed_samples_per_s": 40.305531067123546, |
| "speedup_x": 6.269698645259581, |
| "capacity": 256 |
| }, |
| "8": { |
| "ms_per_sample_eager": 19.979223608970642, |
| "ms_per_sample_graphed": 3.149470090866089, |
| "throughput_eager_samples_per_s": 50.05199499098661, |
| "throughput_graphed_samples_per_s": 317.5137312464539, |
| "speedup_x": 6.343677835491511, |
| "capacity": 256 |
| }, |
| "32": { |
| "ms_per_sample_eager": 5.810043066740036, |
| "ms_per_sample_graphed": 0.8300268650054932, |
| "throughput_eager_samples_per_s": 172.1157637754123, |
| "throughput_graphed_samples_per_s": 1204.78028141099, |
| "speedup_x": 6.999825320957033, |
| "capacity": 256 |
| }, |
| "128": { |
| "ms_per_sample_eager": 2.0753739774227142, |
| "ms_per_sample_graphed": 0.24644374847412112, |
| "throughput_eager_samples_per_s": 481.8408686235151, |
| "throughput_graphed_samples_per_s": 4057.721107520848, |
| "speedup_x": 8.421288794187642, |
| "capacity": 256 |
| } |
| }, |
| "speedup_x_at_batch1": 6.269698645259581 |
| }, |
| "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": "spikecount", |
| "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/opt04_cudagraph_unroll/event_capacity_256", |
| "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, |
| "event_capacity": 256, |
| "graph_warmup": 3, |
| "bench_batches": "1,8,32,128", |
| "sampling_rate": 250.0 |
| } |
| }, |
| "zip": { |
| "name": "event_capacity_256.zip", |
| "files": 81, |
| "bytes": 12255386, |
| "MB": 12.3, |
| "sha256": "4abdff6c1e97bc98b4e4387f7e1294d7238450f2a417c19aa850ecd6d73421cf" |
| } |
| }, |
| { |
| "key": "opt04_cudagraph_unroll/event_capacity_64", |
| "tag": "event_capacity_64", |
| "script": "opt04_cudagraph_unroll.py", |
| "hf_folder": "applied/opt04_cudagraph_unroll", |
| "phase": 8, |
| "status": "ok", |
| "duration_s": 398.3, |
| "optimization_summary": { |
| "optimization": "cudagraph_static_unroll", |
| "research_section": "2. Temporal-dimension reduction / 5. OS & runtime", |
| "reference": "CUDA Graphs static capture/replay applied to the unrolled T-tick event-driven inference loop", |
| "script": "opt04_cudagraph_unroll.py", |
| "baseline_mode": false, |
| "method": "harmonic_matched", |
| "accuracy": { |
| "test_acc": 0.9442857142857143, |
| "test_target_acc": 0.9442857142857143, |
| "best_val_acc": 0.9435714285714286 |
| }, |
| "efficiency": { |
| "spikes_per_inference": null, |
| "syn_ops_per_inference": 3267639.6396103892, |
| "dense_macs_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.026636513652395832, |
| "syn_ops_per_inference_dense_fanout": 64844257.42613637, |
| "weight_sparsity": 0.7324707846410685, |
| "effective_ticks": 12.285714285714286, |
| "num_ticks": 100, |
| "membrane_bytes_per_inference": 451200, |
| "weight_bytes": 4907008, |
| "input_raster_bytes": null, |
| "train_ms_per_step": 105.17575740814209, |
| "infer_ms_per_sample": 0.700143352150917, |
| "peak_vram_mb": 2803.894272 |
| }, |
| "optimization_specific": { |
| "graph_enabled": true, |
| "capacity": 64, |
| "overflow_ticks_frac": 0.9176136363636367, |
| "graph_vs_eager_pred_agreement": 0.027857142857142858, |
| "graph_capture_ms": 236.41490936279297, |
| "graphed_acc": 0.027142857142857142, |
| "kernel_launches_eager": 400, |
| "kernel_launches_graphed": 2, |
| "launch_reduction_x": 200.0, |
| "bench_batches": { |
| "1": { |
| "ms_per_sample_eager": 158.45768451690674, |
| "ms_per_sample_graphed": 23.493247032165527, |
| "throughput_eager_samples_per_s": 6.310833097484171, |
| "throughput_graphed_samples_per_s": 42.56542310353527, |
| "speedup_x": 6.744818385468646, |
| "capacity": 64 |
| }, |
| "8": { |
| "ms_per_sample_eager": 20.538140535354614, |
| "ms_per_sample_graphed": 3.0600184202194214, |
| "throughput_eager_samples_per_s": 48.68989956897935, |
| "throughput_graphed_samples_per_s": 326.79541841721795, |
| "speedup_x": 6.711770229762835, |
| "capacity": 64 |
| }, |
| "32": { |
| "ms_per_sample_eager": 5.965825319290161, |
| "ms_per_sample_graphed": 0.8136455714702606, |
| "throughput_eager_samples_per_s": 167.6214013116603, |
| "throughput_graphed_samples_per_s": 1229.0363704591869, |
| "speedup_x": 7.332216297213899, |
| "capacity": 64 |
| }, |
| "128": { |
| "ms_per_sample_eager": 2.094973810017109, |
| "ms_per_sample_graphed": 0.24432867765426633, |
| "throughput_eager_samples_per_s": 477.3329362011611, |
| "throughput_graphed_samples_per_s": 4092.847428311445, |
| "speedup_x": 8.574408170708354, |
| "capacity": 64 |
| } |
| }, |
| "speedup_x_at_batch1": 6.744818385468646 |
| }, |
| "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": "spikecount", |
| "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/opt04_cudagraph_unroll/event_capacity_64", |
| "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, |
| "event_capacity": 64, |
| "graph_warmup": 3, |
| "bench_batches": "1,8,32,128", |
| "sampling_rate": 250.0 |
| } |
| }, |
| "zip": { |
| "name": "event_capacity_64.zip", |
| "files": 81, |
| "bytes": 12252009, |
| "MB": 12.3, |
| "sha256": "d9b367329bf9c868c4bbf45a9b7816b94e154460aeb3de3c19397744097e1677" |
| } |
| }, |
| { |
| "key": "opt05_bitpack_popcount/no_bitpack_sparse", |
| "tag": "no_bitpack_sparse", |
| "script": "opt05_bitpack_popcount.py", |
| "hf_folder": "applied/opt05_bitpack_popcount", |
| "phase": 8, |
| "status": "ok", |
| "duration_s": 602.5, |
| "optimization_summary": { |
| "optimization": "bitpack_popcount", |
| "research_section": "3. Spike-Sparsity & MAC->AC Restructuring", |
| "reference": "SATA, arXiv:2204.05422; BMXNet/BiFSMNv2 popcount GEMM", |
| "script": "opt05_bitpack_popcount.py", |
| "baseline_mode": false, |
| "method": "harmonic_matched", |
| "accuracy": { |
| "test_acc": 0.9414285714285714, |
| "test_target_acc": 0.9414285714285714, |
| "best_val_acc": 0.9478571428571428 |
| }, |
| "efficiency": { |
| "spikes_per_inference": null, |
| "syn_ops_per_inference": 3247229.934253247, |
| "dense_macs_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.0264701417585074, |
| "syn_ops_per_inference_dense_fanout": 64823847.720779225, |
| "weight_sparsity": 0.7324707846410685, |
| "effective_ticks": 12.055714285714286, |
| "num_ticks": 100, |
| "membrane_bytes_per_inference": 451200, |
| "weight_bytes": 4907008, |
| "input_raster_bytes": 403200000, |
| "train_ms_per_step": 101.49037524997766, |
| "infer_ms_per_sample": 0.6585903800004189, |
| "peak_vram_mb": 2827.702272 |
| }, |
| "optimization_specific": { |
| "bitpack": false, |
| "pack_hidden": false, |
| "popcount_readout": true, |
| "n_channels": 2880, |
| "packed_words_per_tick": 90, |
| "input_raster_bytes_uint8": 403200000, |
| "input_raster_bytes_packed": null, |
| "memory_reduction_x": 1.0, |
| "mults_eliminated_per_inference": null, |
| "pred_agreement_packed_vs_float": null, |
| "popcount_counts_exact": null, |
| "crossover_density": 0.01, |
| "packed_ever_wins": true, |
| "packed_vs_scatter_ms": [ |
| { |
| "density": 0.01, |
| "measured_density": 0.00997178815305233, |
| "scatter_ms": 0.18959999084472656, |
| "packed_ms": 0.06634712219238281, |
| "pack_ms": 0.13100624084472656, |
| "speedup_x": 2.857697283311772, |
| "packed_wins": true, |
| "matches_scatter": true |
| }, |
| { |
| "density": 0.05, |
| "measured_density": 0.0490993931889534, |
| "scatter_ms": 0.2481842041015625, |
| "packed_ms": 0.06286144256591797, |
| "pack_ms": 0.13964176177978516, |
| "speedup_x": 3.9481149965865128, |
| "packed_wins": true, |
| "matches_scatter": true |
| }, |
| { |
| "density": 0.1, |
| "measured_density": 0.10040690004825592, |
| "scatter_ms": 0.42786598205566406, |
| "packed_ms": 0.08830070495605469, |
| "pack_ms": 0.14035701751708984, |
| "speedup_x": 4.8455556755589155, |
| "packed_wins": true, |
| "matches_scatter": true |
| }, |
| { |
| "density": 0.25, |
| "measured_density": 0.24960395693778992, |
| "scatter_ms": 1.037430763244629, |
| "packed_ms": 0.14666080474853516, |
| "pack_ms": 0.13228893280029297, |
| "speedup_x": 7.073674285528497, |
| "packed_wins": true, |
| "matches_scatter": true |
| }, |
| { |
| "density": 0.5, |
| "measured_density": 0.49802517890930176, |
| "scatter_ms": 1.3997840881347656, |
| "packed_ms": 0.27941226959228516, |
| "pack_ms": 0.12972354888916016, |
| "speedup_x": 5.009744526170282, |
| "packed_wins": true, |
| "matches_scatter": true |
| } |
| ], |
| "popcount_vs_loop_ms": { |
| "loop_ms": 0.012402534484863281, |
| "popcount_ms": 0.0334930419921875, |
| "speedup_x": 0.3703018223234624 |
| } |
| }, |
| "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": "spikecount", |
| "fake_quant": 0, |
| "amp": false, |
| "spike_reg": 0.001, |
| "event_eval": true, |
| "decision_margin": 2.0, |
| "export": false, |
| "seed": 1234, |
| "hub_dir": "/kaggle/working/hub/opt05_bitpack_popcount/no_bitpack_sparse", |
| "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, |
| "bitpack": false, |
| "pack_hidden": false, |
| "popcount_readout": true, |
| "sparsity_sweep": "0.01,0.05,0.1,0.25,0.5", |
| "sampling_rate": 250.0 |
| } |
| }, |
| "zip": { |
| "name": "no_bitpack_sparse.zip", |
| "files": 81, |
| "bytes": 12253612, |
| "MB": 12.3, |
| "sha256": "23dd9bfd4be45496c5d4d1757414959d70609841384f7e27d29517c5f999e63a" |
| } |
| }, |
| { |
| "key": "opt06_uticket_prune/balance_iters_4", |
| "tag": "balance_iters_4", |
| "script": "opt06_uticket_prune.py", |
| "hf_folder": "applied/opt06_uticket_prune", |
| "phase": 8, |
| "status": "ok", |
| "duration_s": 338.9, |
| "optimization_summary": { |
| "optimization": "uticket_workload_balanced_pruning", |
| "research_section": "3. Spike sparsity & MAC->AC restructuring", |
| "reference": "u-Ticket: Workload-Balanced Pruning for Sparse SNNs, arXiv:2302.06746", |
| "script": "opt06_uticket_prune.py", |
| "baseline_mode": false, |
| "method": "harmonic_matched", |
| "accuracy": { |
| "test_acc": 0.16214285714285714, |
| "test_target_acc": 0.16214285714285714, |
| "best_val_acc": 0.9178571428571428 |
| }, |
| "efficiency": { |
| "spikes_per_inference": null, |
| "syn_ops_per_inference": 136729.83796672078, |
| "dense_macs_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.0011145678830498812, |
| "syn_ops_per_inference_dense_fanout": 65037287.148538955, |
| "weight_sparsity": 0.9909484557595993, |
| "effective_ticks": 18.82357142857143, |
| "num_ticks": 100, |
| "membrane_bytes_per_inference": 451200, |
| "weight_bytes": 4907008, |
| "input_raster_bytes": null, |
| "train_ms_per_step": 102.35313660004977, |
| "infer_ms_per_sample": 0.6673678306248121, |
| "peak_vram_mb": 2838.680064, |
| "weight_bytes_nonzero": 3485 |
| }, |
| "optimization_specific": { |
| "pruning_enabled": true, |
| "balance_enabled": true, |
| "rounds": 5, |
| "final_sparsity": 0.9992897727272727, |
| "nnz_per_layer": { |
| "layer0": 96, |
| "layer1": 512, |
| "layer2": 256 |
| }, |
| "pe_stats_per_layer": { |
| "layer0": { |
| "mean_nnz": 0.30000000000000004, |
| "max_nnz": 1.0, |
| "min_nnz": 0.0, |
| "total_nnz": 96, |
| "numel": 921600, |
| "sparsity": 0.9998958333333333, |
| "utilization": 0.30000000000000004 |
| }, |
| "layer1": { |
| "mean_nnz": 1.0, |
| "max_nnz": 1.0, |
| "min_nnz": 1.0, |
| "total_nnz": 512, |
| "numel": 163840, |
| "sparsity": 0.996875, |
| "utilization": 1.0 |
| }, |
| "layer2": { |
| "mean_nnz": 1.0, |
| "max_nnz": 1.0, |
| "min_nnz": 1.0, |
| "total_nnz": 256, |
| "numel": 131072, |
| "sparsity": 0.998046875, |
| "utilization": 1.0 |
| } |
| }, |
| "pe_utilization_final": 0.7666666666666666, |
| "pe_utilization_lth": 0.33328993055555556, |
| "pe_utilization_uticket": 0.7666666666666666, |
| "latency_proxy_dense": 3712, |
| "latency_proxy_final": 3, |
| "latency_reduction_frac": 0.9991918103448276, |
| "rounds_history": [ |
| { |
| "round": 1, |
| "layers": { |
| "layer0": { |
| "lth": { |
| "mean_nnz": 21.6, |
| "max_nnz": 34.0, |
| "min_nnz": 13.0, |
| "total_nnz": 6912, |
| "numel": 921600, |
| "sparsity": 0.9925, |
| "utilization": 0.6352941176470589 |
| }, |
| "uticket": { |
| "mean_nnz": 22.0, |
| "max_nnz": 22.0, |
| "min_nnz": 22.0, |
| "total_nnz": 7040, |
| "numel": 921600, |
| "sparsity": 0.9923611111111111, |
| "utilization": 1.0 |
| } |
| }, |
| "layer1": { |
| "lth": { |
| "mean_nnz": 96.0, |
| "max_nnz": 117.0, |
| "min_nnz": 56.0, |
| "total_nnz": 49152, |
| "numel": 163840, |
| "sparsity": 0.7, |
| "utilization": 0.8205128205128205 |
| }, |
| "uticket": { |
| "mean_nnz": 96.0, |
| "max_nnz": 96.0, |
| "min_nnz": 96.0, |
| "total_nnz": 49152, |
| "numel": 163840, |
| "sparsity": 0.7, |
| "utilization": 1.0 |
| } |
| }, |
| "layer2": { |
| "lth": { |
| "mean_nnz": 153.6015625, |
| "max_nnz": 186.0, |
| "min_nnz": 123.0, |
| "total_nnz": 39322, |
| "numel": 131072, |
| "sparsity": 0.6999969482421875, |
| "utilization": 0.8258148521505376 |
| }, |
| "uticket": { |
| "mean_nnz": 154.0, |
| "max_nnz": 154.0, |
| "min_nnz": 154.0, |
| "total_nnz": 39424, |
| "numel": 131072, |
| "sparsity": 0.69921875, |
| "utilization": 1.0 |
| } |
| } |
| }, |
| "latency_proxy": 272, |
| "sparsity": 0.9214015151515151 |
| }, |
| { |
| "round": 2, |
| "layers": { |
| "layer0": { |
| "lth": { |
| "mean_nnz": 6.6000000000000005, |
| "max_nnz": 16.0, |
| "min_nnz": 1.0, |
| "total_nnz": 2112, |
| "numel": 921600, |
| "sparsity": 0.9977083333333333, |
| "utilization": 0.41250000000000003 |
| }, |
| "uticket": { |
| "mean_nnz": 7.0, |
| "max_nnz": 7.0, |
| "min_nnz": 7.0, |
| "total_nnz": 2240, |
| "numel": 921600, |
| "sparsity": 0.9975694444444444, |
| "utilization": 1.0 |
| } |
| }, |
| "layer1": { |
| "lth": { |
| "mean_nnz": 28.80078125, |
| "max_nnz": 49.0, |
| "min_nnz": 5.0, |
| "total_nnz": 14746, |
| "numel": 163840, |
| "sparsity": 0.90999755859375, |
| "utilization": 0.5877710459183674 |
| }, |
| "uticket": { |
| "mean_nnz": 29.0, |
| "max_nnz": 29.0, |
| "min_nnz": 29.0, |
| "total_nnz": 14848, |
| "numel": 163840, |
| "sparsity": 0.909375, |
| "utilization": 1.0 |
| } |
| }, |
| "layer2": { |
| "lth": { |
| "mean_nnz": 46.19921875, |
| "max_nnz": 63.0, |
| "min_nnz": 26.0, |
| "total_nnz": 11827, |
| "numel": 131072, |
| "sparsity": 0.9097671508789062, |
| "utilization": 0.7333209325396826 |
| }, |
| "uticket": { |
| "mean_nnz": 46.0, |
| "max_nnz": 46.0, |
| "min_nnz": 46.0, |
| "total_nnz": 11776, |
| "numel": 131072, |
| "sparsity": 0.91015625, |
| "utilization": 1.0 |
| } |
| } |
| }, |
| "latency_proxy": 82, |
| "sparsity": 0.9762731481481481 |
| }, |
| { |
| "round": 3, |
| "layers": { |
| "layer0": { |
| "lth": { |
| "mean_nnz": 2.1, |
| "max_nnz": 7.0, |
| "min_nnz": 0.0, |
| "total_nnz": 672, |
| "numel": 921600, |
| "sparsity": 0.9992708333333333, |
| "utilization": 0.3 |
| }, |
| "uticket": { |
| "mean_nnz": 2.0, |
| "max_nnz": 2.0, |
| "min_nnz": 2.0, |
| "total_nnz": 640, |
| "numel": 921600, |
| "sparsity": 0.9993055555555556, |
| "utilization": 1.0 |
| } |
| }, |
| "layer1": { |
| "lth": { |
| "mean_nnz": 8.69921875, |
| "max_nnz": 19.0, |
| "min_nnz": 0.0, |
| "total_nnz": 4454, |
| "numel": 163840, |
| "sparsity": 0.97281494140625, |
| "utilization": 0.45785361842105265 |
| }, |
| "uticket": { |
| "mean_nnz": 9.0, |
| "max_nnz": 9.0, |
| "min_nnz": 9.0, |
| "total_nnz": 4608, |
| "numel": 163840, |
| "sparsity": 0.971875, |
| "utilization": 1.0 |
| } |
| }, |
| "layer2": { |
| "lth": { |
| "mean_nnz": 13.80078125, |
| "max_nnz": 22.0, |
| "min_nnz": 7.0, |
| "total_nnz": 3533, |
| "numel": 131072, |
| "sparsity": 0.9730453491210938, |
| "utilization": 0.6273082386363636 |
| }, |
| "uticket": { |
| "mean_nnz": 14.0, |
| "max_nnz": 14.0, |
| "min_nnz": 14.0, |
| "total_nnz": 3584, |
| "numel": 131072, |
| "sparsity": 0.97265625, |
| "utilization": 1.0 |
| } |
| } |
| }, |
| "latency_proxy": 25, |
| "sparsity": 0.992739898989899 |
| }, |
| { |
| "round": 4, |
| "layers": { |
| "layer0": { |
| "lth": { |
| "mean_nnz": 0.6000000000000001, |
| "max_nnz": 2.0, |
| "min_nnz": 0.0, |
| "total_nnz": 192, |
| "numel": 921600, |
| "sparsity": 0.9997916666666666, |
| "utilization": 0.30000000000000004 |
| }, |
| "uticket": { |
| "mean_nnz": 1.0, |
| "max_nnz": 1.0, |
| "min_nnz": 1.0, |
| "total_nnz": 320, |
| "numel": 921600, |
| "sparsity": 0.9996527777777777, |
| "utilization": 1.0 |
| } |
| }, |
| "layer1": { |
| "lth": { |
| "mean_nnz": 2.69921875, |
| "max_nnz": 7.0, |
| "min_nnz": 0.0, |
| "total_nnz": 1382, |
| "numel": 163840, |
| "sparsity": 0.99156494140625, |
| "utilization": 0.38560267857142855 |
| }, |
| "uticket": { |
| "mean_nnz": 3.0, |
| "max_nnz": 3.0, |
| "min_nnz": 3.0, |
| "total_nnz": 1536, |
| "numel": 163840, |
| "sparsity": 0.990625, |
| "utilization": 1.0 |
| } |
| }, |
| "layer2": { |
| "lth": { |
| "mean_nnz": 4.19921875, |
| "max_nnz": 9.0, |
| "min_nnz": 1.0, |
| "total_nnz": 1075, |
| "numel": 131072, |
| "sparsity": 0.9917984008789062, |
| "utilization": 0.4665798611111111 |
| }, |
| "uticket": { |
| "mean_nnz": 4.0, |
| "max_nnz": 4.0, |
| "min_nnz": 4.0, |
| "total_nnz": 1024, |
| "numel": 131072, |
| "sparsity": 0.9921875, |
| "utilization": 1.0 |
| } |
| } |
| }, |
| "latency_proxy": 8, |
| "sparsity": 0.9976325757575758 |
| }, |
| { |
| "round": 5, |
| "layers": { |
| "layer0": { |
| "lth": { |
| "mean_nnz": 0.30000000000000004, |
| "max_nnz": 1.0, |
| "min_nnz": 0.0, |
| "total_nnz": 96, |
| "numel": 921600, |
| "sparsity": 0.9998958333333333, |
| "utilization": 0.30000000000000004 |
| }, |
| "uticket": { |
| "mean_nnz": 0.30000000000000004, |
| "max_nnz": 1.0, |
| "min_nnz": 0.0, |
| "total_nnz": 96, |
| "numel": 921600, |
| "sparsity": 0.9998958333333333, |
| "utilization": 0.30000000000000004 |
| } |
| }, |
| "layer1": { |
| "lth": { |
| "mean_nnz": 0.900390625, |
| "max_nnz": 3.0, |
| "min_nnz": 0.0, |
| "total_nnz": 461, |
| "numel": 163840, |
| "sparsity": 0.997186279296875, |
| "utilization": 0.3001302083333333 |
| }, |
| "uticket": { |
| "mean_nnz": 1.0, |
| "max_nnz": 1.0, |
| "min_nnz": 1.0, |
| "total_nnz": 512, |
| "numel": 163840, |
| "sparsity": 0.996875, |
| "utilization": 1.0 |
| } |
| }, |
| "layer2": { |
| "lth": { |
| "mean_nnz": 1.19921875, |
| "max_nnz": 3.0, |
| "min_nnz": 0.0, |
| "total_nnz": 307, |
| "numel": 131072, |
| "sparsity": 0.9976577758789062, |
| "utilization": 0.3997395833333333 |
| }, |
| "uticket": { |
| "mean_nnz": 1.0, |
| "max_nnz": 1.0, |
| "min_nnz": 1.0, |
| "total_nnz": 256, |
| "numel": 131072, |
| "sparsity": 0.998046875, |
| "utilization": 1.0 |
| } |
| } |
| }, |
| "latency_proxy": 3, |
| "sparsity": 0.9992897727272727 |
| } |
| ], |
| "latency_proxy_lth": 7, |
| "latency_reduction_vs_lth_frac": 0.5714285714285714 |
| }, |
| "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": "spikecount", |
| "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/opt06_uticket_prune/balance_iters_4", |
| "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, |
| "prune_rounds": 5, |
| "prune_rate": 0.7, |
| "rewind_epoch": 1, |
| "balance": true, |
| "balance_iters": 4, |
| "prune_readout": false, |
| "sampling_rate": 250.0 |
| } |
| }, |
| "zip": { |
| "name": "balance_iters_4.zip", |
| "files": 81, |
| "bytes": 8082682, |
| "MB": 8.1, |
| "sha256": "ff260bcde1f1b305816474c3b0db29db1ae57fc944c42c720b3a679851db6fbd" |
| } |
| }, |
| { |
| "key": "opt06_uticket_prune/no_balance", |
| "tag": "no_balance", |
| "script": "opt06_uticket_prune.py", |
| "hf_folder": "applied/opt06_uticket_prune", |
| "phase": 8, |
| "status": "ok", |
| "duration_s": 336.0, |
| "optimization_summary": { |
| "optimization": "uticket_workload_balanced_pruning", |
| "research_section": "3. Spike sparsity & MAC->AC restructuring", |
| "reference": "u-Ticket: Workload-Balanced Pruning for Sparse SNNs, arXiv:2302.06746", |
| "script": "opt06_uticket_prune.py", |
| "baseline_mode": false, |
| "method": "harmonic_matched", |
| "accuracy": { |
| "test_acc": 0.18357142857142858, |
| "test_target_acc": 0.18357142857142858, |
| "best_val_acc": 0.915 |
| }, |
| "efficiency": { |
| "spikes_per_inference": null, |
| "syn_ops_per_inference": 122885.72605519481, |
| "dense_macs_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.0010017161256325223, |
| "syn_ops_per_inference_dense_fanout": 64813828.548701294, |
| "weight_sparsity": 0.9910226353818865, |
| "effective_ticks": 17.867857142857144, |
| "num_ticks": 100, |
| "membrane_bytes_per_inference": 451200, |
| "weight_bytes": 4907008, |
| "input_raster_bytes": null, |
| "train_ms_per_step": 101.48871465007687, |
| "infer_ms_per_sample": 0.6597177631249451, |
| "peak_vram_mb": 2836.777472, |
| "weight_bytes_nonzero": 3118 |
| }, |
| "optimization_specific": { |
| "pruning_enabled": true, |
| "balance_enabled": false, |
| "rounds": 5, |
| "final_sparsity": 0.9993645767571548, |
| "nnz_per_layer": { |
| "layer0": 56, |
| "layer1": 398, |
| "layer2": 319 |
| }, |
| "pe_stats_per_layer": { |
| "layer0": { |
| "mean_nnz": 0.17500000000000002, |
| "max_nnz": 3.0, |
| "min_nnz": 0.0, |
| "total_nnz": 56, |
| "numel": 921600, |
| "sparsity": 0.9999392361111111, |
| "utilization": 0.05833333333333334 |
| }, |
| "layer1": { |
| "mean_nnz": 0.77734375, |
| "max_nnz": 4.0, |
| "min_nnz": 0.0, |
| "total_nnz": 398, |
| "numel": 163840, |
| "sparsity": 0.99757080078125, |
| "utilization": 0.1943359375 |
| }, |
| "layer2": { |
| "mean_nnz": 1.24609375, |
| "max_nnz": 3.0, |
| "min_nnz": 0.0, |
| "total_nnz": 319, |
| "numel": 131072, |
| "sparsity": 0.9975662231445312, |
| "utilization": 0.4153645833333333 |
| } |
| }, |
| "pe_utilization_final": 0.22267795138888888, |
| "pe_utilization_lth": 0.22267795138888888, |
| "pe_utilization_uticket": 0.22267795138888888, |
| "latency_proxy_dense": 3712, |
| "latency_proxy_final": 10, |
| "latency_reduction_frac": 0.9973060344827587, |
| "rounds_history": [ |
| { |
| "round": 1, |
| "layers": { |
| "layer0": { |
| "lth": { |
| "mean_nnz": 21.6, |
| "max_nnz": 31.0, |
| "min_nnz": 13.0, |
| "total_nnz": 6912, |
| "numel": 921600, |
| "sparsity": 0.9925, |
| "utilization": 0.6967741935483871 |
| }, |
| "uticket": { |
| "mean_nnz": 21.6, |
| "max_nnz": 31.0, |
| "min_nnz": 13.0, |
| "total_nnz": 6912, |
| "numel": 921600, |
| "sparsity": 0.9925, |
| "utilization": 0.6967741935483871 |
| } |
| }, |
| "layer1": { |
| "lth": { |
| "mean_nnz": 96.0, |
| "max_nnz": 121.0, |
| "min_nnz": 54.0, |
| "total_nnz": 49152, |
| "numel": 163840, |
| "sparsity": 0.7, |
| "utilization": 0.7933884297520661 |
| }, |
| "uticket": { |
| "mean_nnz": 96.0, |
| "max_nnz": 121.0, |
| "min_nnz": 54.0, |
| "total_nnz": 49152, |
| "numel": 163840, |
| "sparsity": 0.7, |
| "utilization": 0.7933884297520661 |
| } |
| }, |
| "layer2": { |
| "lth": { |
| "mean_nnz": 153.6015625, |
| "max_nnz": 182.0, |
| "min_nnz": 76.0, |
| "total_nnz": 39322, |
| "numel": 131072, |
| "sparsity": 0.6999969482421875, |
| "utilization": 0.8439646291208791 |
| }, |
| "uticket": { |
| "mean_nnz": 153.6015625, |
| "max_nnz": 182.0, |
| "min_nnz": 76.0, |
| "total_nnz": 39322, |
| "numel": 131072, |
| "sparsity": 0.6999969482421875, |
| "utilization": 0.8439646291208791 |
| } |
| } |
| }, |
| "latency_proxy": 334, |
| "sparsity": 0.9215905802819866 |
| }, |
| { |
| "round": 2, |
| "layers": { |
| "layer0": { |
| "lth": { |
| "mean_nnz": 6.48125, |
| "max_nnz": 19.0, |
| "min_nnz": 0.0, |
| "total_nnz": 2074, |
| "numel": 921600, |
| "sparsity": 0.9977495659722222, |
| "utilization": 0.34111842105263157 |
| }, |
| "uticket": { |
| "mean_nnz": 6.48125, |
| "max_nnz": 19.0, |
| "min_nnz": 0.0, |
| "total_nnz": 2074, |
| "numel": 921600, |
| "sparsity": 0.9977495659722222, |
| "utilization": 0.34111842105263157 |
| } |
| }, |
| "layer1": { |
| "lth": { |
| "mean_nnz": 28.80078125, |
| "max_nnz": 50.0, |
| "min_nnz": 2.0, |
| "total_nnz": 14746, |
| "numel": 163840, |
| "sparsity": 0.90999755859375, |
| "utilization": 0.576015625 |
| }, |
| "uticket": { |
| "mean_nnz": 28.80078125, |
| "max_nnz": 50.0, |
| "min_nnz": 2.0, |
| "total_nnz": 14746, |
| "numel": 163840, |
| "sparsity": 0.90999755859375, |
| "utilization": 0.576015625 |
| } |
| }, |
| "layer2": { |
| "lth": { |
| "mean_nnz": 46.08203125, |
| "max_nnz": 69.0, |
| "min_nnz": 20.0, |
| "total_nnz": 11797, |
| "numel": 131072, |
| "sparsity": 0.9099960327148438, |
| "utilization": 0.6678555253623188 |
| }, |
| "uticket": { |
| "mean_nnz": 46.08203125, |
| "max_nnz": 69.0, |
| "min_nnz": 20.0, |
| "total_nnz": 11797, |
| "numel": 131072, |
| "sparsity": 0.9099960327148438, |
| "utilization": 0.6678555253623188 |
| } |
| } |
| }, |
| "latency_proxy": 138, |
| "sparsity": 0.9764761876578283 |
| }, |
| { |
| "round": 3, |
| "layers": { |
| "layer0": { |
| "lth": { |
| "mean_nnz": 1.94375, |
| "max_nnz": 9.0, |
| "min_nnz": 0.0, |
| "total_nnz": 622, |
| "numel": 921600, |
| "sparsity": 0.9993250868055555, |
| "utilization": 0.21597222222222223 |
| }, |
| "uticket": { |
| "mean_nnz": 1.94375, |
| "max_nnz": 9.0, |
| "min_nnz": 0.0, |
| "total_nnz": 622, |
| "numel": 921600, |
| "sparsity": 0.9993250868055555, |
| "utilization": 0.21597222222222223 |
| } |
| }, |
| "layer1": { |
| "lth": { |
| "mean_nnz": 8.640625, |
| "max_nnz": 21.0, |
| "min_nnz": 0.0, |
| "total_nnz": 4424, |
| "numel": 163840, |
| "sparsity": 0.972998046875, |
| "utilization": 0.4114583333333333 |
| }, |
| "uticket": { |
| "mean_nnz": 8.640625, |
| "max_nnz": 21.0, |
| "min_nnz": 0.0, |
| "total_nnz": 4424, |
| "numel": 163840, |
| "sparsity": 0.972998046875, |
| "utilization": 0.4114583333333333 |
| } |
| }, |
| "layer2": { |
| "lth": { |
| "mean_nnz": 13.82421875, |
| "max_nnz": 24.0, |
| "min_nnz": 6.0, |
| "total_nnz": 3539, |
| "numel": 131072, |
| "sparsity": 0.9729995727539062, |
| "utilization": 0.5760091145833334 |
| }, |
| "uticket": { |
| "mean_nnz": 13.82421875, |
| "max_nnz": 24.0, |
| "min_nnz": 6.0, |
| "total_nnz": 3539, |
| "numel": 131072, |
| "sparsity": 0.9729995727539062, |
| "utilization": 0.5760091145833334 |
| } |
| } |
| }, |
| "latency_proxy": 54, |
| "sparsity": 0.9929429384995792 |
| }, |
| { |
| "round": 4, |
| "layers": { |
| "layer0": { |
| "lth": { |
| "mean_nnz": 0.584375, |
| "max_nnz": 5.0, |
| "min_nnz": 0.0, |
| "total_nnz": 187, |
| "numel": 921600, |
| "sparsity": 0.9997970920138889, |
| "utilization": 0.11687499999999999 |
| }, |
| "uticket": { |
| "mean_nnz": 0.584375, |
| "max_nnz": 5.0, |
| "min_nnz": 0.0, |
| "total_nnz": 187, |
| "numel": 921600, |
| "sparsity": 0.9997970920138889, |
| "utilization": 0.11687499999999999 |
| } |
| }, |
| "layer1": { |
| "lth": { |
| "mean_nnz": 2.591796875, |
| "max_nnz": 9.0, |
| "min_nnz": 0.0, |
| "total_nnz": 1327, |
| "numel": 163840, |
| "sparsity": 0.991900634765625, |
| "utilization": 0.2879774305555556 |
| }, |
| "uticket": { |
| "mean_nnz": 2.591796875, |
| "max_nnz": 9.0, |
| "min_nnz": 0.0, |
| "total_nnz": 1327, |
| "numel": 163840, |
| "sparsity": 0.991900634765625, |
| "utilization": 0.2879774305555556 |
| } |
| }, |
| "layer2": { |
| "lth": { |
| "mean_nnz": 4.1484375, |
| "max_nnz": 9.0, |
| "min_nnz": 1.0, |
| "total_nnz": 1062, |
| "numel": 131072, |
| "sparsity": 0.9918975830078125, |
| "utilization": 0.4609375 |
| }, |
| "uticket": { |
| "mean_nnz": 4.1484375, |
| "max_nnz": 9.0, |
| "min_nnz": 1.0, |
| "total_nnz": 1062, |
| "numel": 131072, |
| "sparsity": 0.9918975830078125, |
| "utilization": 0.4609375 |
| } |
| } |
| }, |
| "latency_proxy": 23, |
| "sparsity": 0.9978824705387206 |
| }, |
| { |
| "round": 5, |
| "layers": { |
| "layer0": { |
| "lth": { |
| "mean_nnz": 0.17500000000000002, |
| "max_nnz": 3.0, |
| "min_nnz": 0.0, |
| "total_nnz": 56, |
| "numel": 921600, |
| "sparsity": 0.9999392361111111, |
| "utilization": 0.05833333333333334 |
| }, |
| "uticket": { |
| "mean_nnz": 0.17500000000000002, |
| "max_nnz": 3.0, |
| "min_nnz": 0.0, |
| "total_nnz": 56, |
| "numel": 921600, |
| "sparsity": 0.9999392361111111, |
| "utilization": 0.05833333333333334 |
| } |
| }, |
| "layer1": { |
| "lth": { |
| "mean_nnz": 0.77734375, |
| "max_nnz": 4.0, |
| "min_nnz": 0.0, |
| "total_nnz": 398, |
| "numel": 163840, |
| "sparsity": 0.99757080078125, |
| "utilization": 0.1943359375 |
| }, |
| "uticket": { |
| "mean_nnz": 0.77734375, |
| "max_nnz": 4.0, |
| "min_nnz": 0.0, |
| "total_nnz": 398, |
| "numel": 163840, |
| "sparsity": 0.99757080078125, |
| "utilization": 0.1943359375 |
| } |
| }, |
| "layer2": { |
| "lth": { |
| "mean_nnz": 1.24609375, |
| "max_nnz": 3.0, |
| "min_nnz": 0.0, |
| "total_nnz": 319, |
| "numel": 131072, |
| "sparsity": 0.9975662231445312, |
| "utilization": 0.4153645833333333 |
| }, |
| "uticket": { |
| "mean_nnz": 1.24609375, |
| "max_nnz": 3.0, |
| "min_nnz": 0.0, |
| "total_nnz": 319, |
| "numel": 131072, |
| "sparsity": 0.9975662231445312, |
| "utilization": 0.4153645833333333 |
| } |
| } |
| }, |
| "latency_proxy": 10, |
| "sparsity": 0.9993645767571548 |
| } |
| ], |
| "latency_proxy_lth": 10, |
| "latency_reduction_vs_lth_frac": 0.0 |
| }, |
| "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": "spikecount", |
| "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/opt06_uticket_prune/no_balance", |
| "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, |
| "prune_rounds": 5, |
| "prune_rate": 0.7, |
| "rewind_epoch": 1, |
| "balance": false, |
| "balance_iters": 2, |
| "prune_readout": false, |
| "sampling_rate": 250.0 |
| } |
| }, |
| "zip": { |
| "name": "no_balance.zip", |
| "files": 81, |
| "bytes": 8072095, |
| "MB": 8.1, |
| "sha256": "03f8c3bfa863c3e46ffb08d9deff382fce93499bbdbee3b6d6d576fce9ce9721" |
| } |
| }, |
| { |
| "key": "opt05_bitpack_popcount/default", |
| "tag": "default", |
| "script": "opt05_bitpack_popcount.py", |
| "hf_folder": "applied/opt05_bitpack_popcount", |
| "phase": 1, |
| "status": "ok", |
| "duration_s": 315.3, |
| "optimization_summary": { |
| "optimization": "bitpack_popcount", |
| "research_section": "3. Spike-Sparsity & MAC->AC Restructuring", |
| "reference": "SATA, arXiv:2204.05422; BMXNet/BiFSMNv2 popcount GEMM", |
| "script": "opt05_bitpack_popcount.py", |
| "baseline_mode": false, |
| "method": "harmonic_matched", |
| "accuracy": { |
| "test_acc": 0.9228571428571428, |
| "test_target_acc": 0.9228571428571428, |
| "best_val_acc": 0.9242857142857143 |
| }, |
| "efficiency": { |
| "spikes_per_inference": null, |
| "syn_ops_per_inference": 2309944.7946428573, |
| "dense_macs_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.018829761798985104, |
| "syn_ops_per_inference_dense_fanout": 25152261.920454547, |
| "weight_sparsity": 0.7324707846410685, |
| "effective_ticks": 12.017142857142858, |
| "num_ticks": 100, |
| "membrane_bytes_per_inference": 451200, |
| "weight_bytes": 4907008, |
| "input_raster_bytes": 50400000, |
| "train_ms_per_step": 47.203685850001875, |
| "infer_ms_per_sample": 0.3278796612500301, |
| "peak_vram_mb": 475.061248 |
| }, |
| "optimization_specific": { |
| "bitpack": true, |
| "pack_hidden": false, |
| "popcount_readout": true, |
| "n_channels": 2880, |
| "packed_words_per_tick": 90, |
| "input_raster_bytes_uint8": 403200000, |
| "input_raster_bytes_packed": 50400000, |
| "memory_reduction_x": 8.0, |
| "mults_eliminated_per_inference": 2309944.7946428573, |
| "pred_agreement_packed_vs_float": 1.0, |
| "popcount_counts_exact": true, |
| "crossover_density": 0.01, |
| "packed_ever_wins": true, |
| "packed_vs_scatter_ms": [ |
| { |
| "density": 0.01, |
| "measured_density": 0.00997178815305233, |
| "scatter_ms": 0.2054882049560547, |
| "packed_ms": 0.053696632385253906, |
| "pack_ms": 0.1566171646118164, |
| "speedup_x": 3.826835982594796, |
| "packed_wins": true, |
| "matches_scatter": true |
| }, |
| { |
| "density": 0.05, |
| "measured_density": 0.0490993931889534, |
| "scatter_ms": 0.2793121337890625, |
| "packed_ms": 0.06389141082763672, |
| "pack_ms": 0.17340660095214844, |
| "speedup_x": 4.371669527576685, |
| "packed_wins": true, |
| "matches_scatter": true |
| }, |
| { |
| "density": 0.1, |
| "measured_density": 0.10040690004825592, |
| "scatter_ms": 0.4568767547607422, |
| "packed_ms": 0.08402824401855469, |
| "pack_ms": 0.16062259674072266, |
| "speedup_x": 5.437180796731359, |
| "packed_wins": true, |
| "matches_scatter": true |
| }, |
| { |
| "density": 0.25, |
| "measured_density": 0.24960395693778992, |
| "scatter_ms": 1.0628986358642578, |
| "packed_ms": 0.14556407928466797, |
| "pack_ms": 0.15494346618652344, |
| "speedup_x": 7.301929439512563, |
| "packed_wins": true, |
| "matches_scatter": true |
| }, |
| { |
| "density": 0.5, |
| "measured_density": 0.49802517890930176, |
| "scatter_ms": 1.4232254028320312, |
| "packed_ms": 0.2665281295776367, |
| "pack_ms": 0.15835285186767578, |
| "speedup_x": 5.339869397978353, |
| "packed_wins": true, |
| "matches_scatter": true |
| } |
| ], |
| "popcount_vs_loop_ms": { |
| "loop_ms": 0.012612342834472656, |
| "popcount_ms": 0.04111766815185547, |
| "speedup_x": 0.30673779427113534 |
| } |
| }, |
| "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": true, |
| "beta": 1.0, |
| "thresh": 1.0, |
| "window": 0.5, |
| "gain": 1.0, |
| "alpha": 0.9, |
| "readout": "spikecount", |
| "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/opt05_bitpack_popcount/default", |
| "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, |
| "bitpack": true, |
| "pack_hidden": false, |
| "popcount_readout": true, |
| "sparsity_sweep": "0.01,0.05,0.1,0.25,0.5", |
| "sampling_rate": 250.0 |
| } |
| }, |
| "zip": { |
| "name": "default.zip", |
| "files": 81, |
| "bytes": 12232326, |
| "MB": 12.2, |
| "sha256": "639faf789b907e8072ee505471d3f095d1d00d9a0bc255de0d930b601160ca21" |
| } |
| }, |
| { |
| "key": "opt05_bitpack_popcount/spike_reg_1e-3", |
| "tag": "spike_reg_1e-3", |
| "script": "opt05_bitpack_popcount.py", |
| "hf_folder": "applied/opt05_bitpack_popcount", |
| "phase": 4, |
| "status": "ok", |
| "duration_s": 197.5, |
| "optimization_summary": { |
| "optimization": "bitpack_popcount", |
| "research_section": "3. Spike-Sparsity & MAC->AC Restructuring", |
| "reference": "SATA, arXiv:2204.05422; BMXNet/BiFSMNv2 popcount GEMM", |
| "script": "opt05_bitpack_popcount.py", |
| "baseline_mode": false, |
| "method": "harmonic_matched", |
| "accuracy": { |
| "test_acc": 0.9192857142857143, |
| "test_target_acc": 0.9192857142857143, |
| "best_val_acc": 0.92 |
| }, |
| "efficiency": { |
| "spikes_per_inference": null, |
| "syn_ops_per_inference": 2303084.2954545454, |
| "dense_macs_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.018773837706843318, |
| "syn_ops_per_inference_dense_fanout": 25145401.421266235, |
| "weight_sparsity": 0.7324707846410685, |
| "effective_ticks": 12.186428571428571, |
| "num_ticks": 100, |
| "membrane_bytes_per_inference": 451200, |
| "weight_bytes": 4907008, |
| "input_raster_bytes": 50400000, |
| "train_ms_per_step": 46.848466300002656, |
| "infer_ms_per_sample": 0.3265190006250407, |
| "peak_vram_mb": 475.016192 |
| }, |
| "optimization_specific": { |
| "bitpack": true, |
| "pack_hidden": false, |
| "popcount_readout": true, |
| "n_channels": 2880, |
| "packed_words_per_tick": 90, |
| "input_raster_bytes_uint8": 403200000, |
| "input_raster_bytes_packed": 50400000, |
| "memory_reduction_x": 8.0, |
| "mults_eliminated_per_inference": 2303084.2954545454, |
| "pred_agreement_packed_vs_float": 1.0, |
| "popcount_counts_exact": true, |
| "crossover_density": 0.01, |
| "packed_ever_wins": true, |
| "packed_vs_scatter_ms": [ |
| { |
| "density": 0.01, |
| "measured_density": 0.00997178815305233, |
| "scatter_ms": 0.19116878509521484, |
| "packed_ms": 0.05690574645996094, |
| "pack_ms": 0.15376567840576172, |
| "speedup_x": 3.3593933299815655, |
| "packed_wins": true, |
| "matches_scatter": true |
| }, |
| { |
| "density": 0.05, |
| "measured_density": 0.0490993931889534, |
| "scatter_ms": 0.2872276306152344, |
| "packed_ms": 0.06194114685058594, |
| "pack_ms": 0.16414642333984375, |
| "speedup_x": 4.637105465742879, |
| "packed_wins": true, |
| "matches_scatter": true |
| }, |
| { |
| "density": 0.1, |
| "measured_density": 0.10040690004825592, |
| "scatter_ms": 0.46930789947509766, |
| "packed_ms": 0.0857686996459961, |
| "pack_ms": 0.15345096588134766, |
| "speedup_x": 5.471785178184244, |
| "packed_wins": true, |
| "matches_scatter": true |
| }, |
| { |
| "density": 0.25, |
| "measured_density": 0.24960395693778992, |
| "scatter_ms": 1.0500812530517578, |
| "packed_ms": 0.14589309692382812, |
| "pack_ms": 0.15069961547851562, |
| "speedup_x": 7.19760753039613, |
| "packed_wins": true, |
| "matches_scatter": true |
| }, |
| { |
| "density": 0.5, |
| "measured_density": 0.49802517890930176, |
| "scatter_ms": 1.390976905822754, |
| "packed_ms": 0.2652168273925781, |
| "pack_ms": 0.16566753387451172, |
| "speedup_x": 5.24467817331895, |
| "packed_wins": true, |
| "matches_scatter": true |
| } |
| ], |
| "popcount_vs_loop_ms": { |
| "loop_ms": 0.013890266418457031, |
| "popcount_ms": 0.03956317901611328, |
| "speedup_x": 0.35109075569482945 |
| } |
| }, |
| "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": true, |
| "beta": 1.0, |
| "thresh": 1.0, |
| "window": 0.5, |
| "gain": 1.0, |
| "alpha": 0.9, |
| "readout": "spikecount", |
| "fake_quant": 0, |
| "amp": false, |
| "spike_reg": 0.001, |
| "event_eval": true, |
| "decision_margin": 2.0, |
| "export": false, |
| "seed": 1234, |
| "hub_dir": "/kaggle/working/hub/opt05_bitpack_popcount/spike_reg_1e-3", |
| "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, |
| "bitpack": true, |
| "pack_hidden": false, |
| "popcount_readout": true, |
| "sparsity_sweep": "0.01,0.05,0.1,0.25,0.5", |
| "sampling_rate": 250.0 |
| } |
| }, |
| "zip": { |
| "name": "spike_reg_1e-3.zip", |
| "files": 81, |
| "bytes": 12223824, |
| "MB": 12.2, |
| "sha256": "e91a0503e69fdde04563664e5ee8bc2078ab7b9381677ab3a50b70d6f6983012" |
| } |
| }, |
| { |
| "key": "opt05_bitpack_popcount/spike_reg_1e-4", |
| "tag": "spike_reg_1e-4", |
| "script": "opt05_bitpack_popcount.py", |
| "hf_folder": "applied/opt05_bitpack_popcount", |
| "phase": 4, |
| "status": "ok", |
| "duration_s": 197.7, |
| "optimization_summary": { |
| "optimization": "bitpack_popcount", |
| "research_section": "3. Spike-Sparsity & MAC->AC Restructuring", |
| "reference": "SATA, arXiv:2204.05422; BMXNet/BiFSMNv2 popcount GEMM", |
| "script": "opt05_bitpack_popcount.py", |
| "baseline_mode": false, |
| "method": "harmonic_matched", |
| "accuracy": { |
| "test_acc": 0.9235714285714286, |
| "test_target_acc": 0.9235714285714286, |
| "best_val_acc": 0.93 |
| }, |
| "efficiency": { |
| "spikes_per_inference": null, |
| "syn_ops_per_inference": 2283705.4431818184, |
| "dense_macs_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.018615868922013726, |
| "syn_ops_per_inference_dense_fanout": 25126022.56899351, |
| "weight_sparsity": 0.7324707846410685, |
| "effective_ticks": 11.820714285714285, |
| "num_ticks": 100, |
| "membrane_bytes_per_inference": 451200, |
| "weight_bytes": 4907008, |
| "input_raster_bytes": 50400000, |
| "train_ms_per_step": 47.02878559999135, |
| "infer_ms_per_sample": 0.3296298521874519, |
| "peak_vram_mb": 473.926144 |
| }, |
| "optimization_specific": { |
| "bitpack": true, |
| "pack_hidden": false, |
| "popcount_readout": true, |
| "n_channels": 2880, |
| "packed_words_per_tick": 90, |
| "input_raster_bytes_uint8": 403200000, |
| "input_raster_bytes_packed": 50400000, |
| "memory_reduction_x": 8.0, |
| "mults_eliminated_per_inference": 2283705.4431818184, |
| "pred_agreement_packed_vs_float": 1.0, |
| "popcount_counts_exact": true, |
| "crossover_density": 0.01, |
| "packed_ever_wins": true, |
| "packed_vs_scatter_ms": [ |
| { |
| "density": 0.01, |
| "measured_density": 0.00997178815305233, |
| "scatter_ms": 0.18851757049560547, |
| "packed_ms": 0.05492687225341797, |
| "pack_ms": 0.1523113250732422, |
| "speedup_x": 3.4321555690598142, |
| "packed_wins": true, |
| "matches_scatter": true |
| }, |
| { |
| "density": 0.05, |
| "measured_density": 0.0490993931889534, |
| "scatter_ms": 0.2920246124267578, |
| "packed_ms": 0.06508827209472656, |
| "pack_ms": 0.1502513885498047, |
| "speedup_x": 4.486593406593407, |
| "packed_wins": true, |
| "matches_scatter": true |
| }, |
| { |
| "density": 0.1, |
| "measured_density": 0.10040690004825592, |
| "scatter_ms": 0.4650592803955078, |
| "packed_ms": 0.085906982421875, |
| "pack_ms": 0.16173839569091797, |
| "speedup_x": 5.413521314387212, |
| "packed_wins": true, |
| "matches_scatter": true |
| }, |
| { |
| "density": 0.25, |
| "measured_density": 0.24960395693778992, |
| "scatter_ms": 1.0594987869262695, |
| "packed_ms": 0.14565467834472656, |
| "pack_ms": 0.19160747528076172, |
| "speedup_x": 7.274045701564853, |
| "packed_wins": true, |
| "matches_scatter": true |
| }, |
| { |
| "density": 0.5, |
| "measured_density": 0.49802517890930176, |
| "scatter_ms": 1.4008808135986328, |
| "packed_ms": 0.26602745056152344, |
| "pack_ms": 0.15926361083984375, |
| "speedup_x": 5.265925793152895, |
| "packed_wins": true, |
| "matches_scatter": true |
| } |
| ], |
| "popcount_vs_loop_ms": { |
| "loop_ms": 0.013880729675292969, |
| "popcount_ms": 0.038743019104003906, |
| "speedup_x": 0.3582769230769231 |
| } |
| }, |
| "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": true, |
| "beta": 1.0, |
| "thresh": 1.0, |
| "window": 0.5, |
| "gain": 1.0, |
| "alpha": 0.9, |
| "readout": "spikecount", |
| "fake_quant": 0, |
| "amp": false, |
| "spike_reg": 0.0001, |
| "event_eval": true, |
| "decision_margin": 2.0, |
| "export": false, |
| "seed": 1234, |
| "hub_dir": "/kaggle/working/hub/opt05_bitpack_popcount/spike_reg_1e-4", |
| "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, |
| "bitpack": true, |
| "pack_hidden": false, |
| "popcount_readout": true, |
| "sparsity_sweep": "0.01,0.05,0.1,0.25,0.5", |
| "sampling_rate": 250.0 |
| } |
| }, |
| "zip": { |
| "name": "spike_reg_1e-4.zip", |
| "files": 81, |
| "bytes": 12234846, |
| "MB": 12.2, |
| "sha256": "416201702cd96e0f7c178678e33de6363b9a909e6b8faa3ba59a694b52c2bbca" |
| } |
| }, |
| { |
| "key": "opt05_bitpack_popcount/spike_reg_5e-3", |
| "tag": "spike_reg_5e-3", |
| "script": "opt05_bitpack_popcount.py", |
| "hf_folder": "applied/opt05_bitpack_popcount", |
| "phase": 4, |
| "status": "ok", |
| "duration_s": 197.0, |
| "optimization_summary": { |
| "optimization": "bitpack_popcount", |
| "research_section": "3. Spike-Sparsity & MAC->AC Restructuring", |
| "reference": "SATA, arXiv:2204.05422; BMXNet/BiFSMNv2 popcount GEMM", |
| "script": "opt05_bitpack_popcount.py", |
| "baseline_mode": false, |
| "method": "harmonic_matched", |
| "accuracy": { |
| "test_acc": 0.9214285714285714, |
| "test_target_acc": 0.9214285714285714, |
| "best_val_acc": 0.9221428571428572 |
| }, |
| "efficiency": { |
| "spikes_per_inference": null, |
| "syn_ops_per_inference": 2269604.548701299, |
| "dense_macs_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.01850092397404935, |
| "syn_ops_per_inference_dense_fanout": 25111921.674512986, |
| "weight_sparsity": 0.7324707846410685, |
| "effective_ticks": 11.924285714285714, |
| "num_ticks": 100, |
| "membrane_bytes_per_inference": 451200, |
| "weight_bytes": 4907008, |
| "input_raster_bytes": 50400000, |
| "train_ms_per_step": 46.87945750000608, |
| "infer_ms_per_sample": 0.3248096171875403, |
| "peak_vram_mb": 473.844736 |
| }, |
| "optimization_specific": { |
| "bitpack": true, |
| "pack_hidden": false, |
| "popcount_readout": true, |
| "n_channels": 2880, |
| "packed_words_per_tick": 90, |
| "input_raster_bytes_uint8": 403200000, |
| "input_raster_bytes_packed": 50400000, |
| "memory_reduction_x": 8.0, |
| "mults_eliminated_per_inference": 2269604.548701299, |
| "pred_agreement_packed_vs_float": 1.0, |
| "popcount_counts_exact": true, |
| "crossover_density": 0.01, |
| "packed_ever_wins": true, |
| "packed_vs_scatter_ms": [ |
| { |
| "density": 0.01, |
| "measured_density": 0.00997178815305233, |
| "scatter_ms": 0.1865673065185547, |
| "packed_ms": 0.062394142150878906, |
| "pack_ms": 0.15578746795654297, |
| "speedup_x": 2.9901413832632784, |
| "packed_wins": true, |
| "matches_scatter": true |
| }, |
| { |
| "density": 0.05, |
| "measured_density": 0.0490993931889534, |
| "scatter_ms": 0.27536869049072266, |
| "packed_ms": 0.08374691009521484, |
| "pack_ms": 0.1626729965209961, |
| "speedup_x": 3.288105676706713, |
| "packed_wins": true, |
| "matches_scatter": true |
| }, |
| { |
| "density": 0.1, |
| "measured_density": 0.10040690004825592, |
| "scatter_ms": 0.4866170883178711, |
| "packed_ms": 0.08452415466308594, |
| "pack_ms": 0.18200397491455078, |
| "speedup_x": 5.757136409793524, |
| "packed_wins": true, |
| "matches_scatter": true |
| }, |
| { |
| "density": 0.25, |
| "measured_density": 0.24960395693778992, |
| "scatter_ms": 1.0558032989501953, |
| "packed_ms": 0.14586448669433594, |
| "pack_ms": 0.15982627868652344, |
| "speedup_x": 7.238247793396535, |
| "packed_wins": true, |
| "matches_scatter": true |
| }, |
| { |
| "density": 0.5, |
| "measured_density": 0.49802517890930176, |
| "scatter_ms": 1.3956975936889648, |
| "packed_ms": 0.2649402618408203, |
| "pack_ms": 0.15928268432617188, |
| "speedup_x": 5.267970915373817, |
| "packed_wins": true, |
| "matches_scatter": true |
| } |
| ], |
| "popcount_vs_loop_ms": { |
| "loop_ms": 0.013742446899414062, |
| "popcount_ms": 0.038886070251464844, |
| "speedup_x": 0.35340282035561005 |
| } |
| }, |
| "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": true, |
| "beta": 1.0, |
| "thresh": 1.0, |
| "window": 0.5, |
| "gain": 1.0, |
| "alpha": 0.9, |
| "readout": "spikecount", |
| "fake_quant": 0, |
| "amp": false, |
| "spike_reg": 0.005, |
| "event_eval": true, |
| "decision_margin": 2.0, |
| "export": false, |
| "seed": 1234, |
| "hub_dir": "/kaggle/working/hub/opt05_bitpack_popcount/spike_reg_5e-3", |
| "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, |
| "bitpack": true, |
| "pack_hidden": false, |
| "popcount_readout": true, |
| "sparsity_sweep": "0.01,0.05,0.1,0.25,0.5", |
| "sampling_rate": 250.0 |
| } |
| }, |
| "zip": { |
| "name": "spike_reg_5e-3.zip", |
| "files": 81, |
| "bytes": 12222342, |
| "MB": 12.2, |
| "sha256": "c8f16f4f1fec47ffc04b1be2c4739e56faaf9d3a1f23c07d38e2bdfa72168b67" |
| } |
| }, |
| { |
| "key": "opt05_bitpack_popcount/no_popcount_readout", |
| "tag": "no_popcount_readout", |
| "script": "opt05_bitpack_popcount.py", |
| "hf_folder": "applied/opt05_bitpack_popcount", |
| "phase": 8, |
| "status": "ok", |
| "duration_s": 203.9, |
| "optimization_summary": { |
| "optimization": "bitpack_popcount", |
| "research_section": "3. Spike-Sparsity & MAC->AC Restructuring", |
| "reference": "SATA, arXiv:2204.05422; BMXNet/BiFSMNv2 popcount GEMM", |
| "script": "opt05_bitpack_popcount.py", |
| "baseline_mode": false, |
| "method": "harmonic_matched", |
| "accuracy": { |
| "test_acc": 0.9242857142857143, |
| "test_target_acc": 0.9242857142857143, |
| "best_val_acc": 0.93 |
| }, |
| "efficiency": { |
| "spikes_per_inference": null, |
| "syn_ops_per_inference": 2304024.288961039, |
| "dense_macs_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.018781500164344864, |
| "syn_ops_per_inference_dense_fanout": 25146341.414772727, |
| "weight_sparsity": 0.7324707846410685, |
| "effective_ticks": 11.961428571428572, |
| "num_ticks": 100, |
| "membrane_bytes_per_inference": 451200, |
| "weight_bytes": 4907008, |
| "input_raster_bytes": 50400000, |
| "train_ms_per_step": 47.13725560000057, |
| "infer_ms_per_sample": 0.32380043343749776, |
| "peak_vram_mb": 473.921536 |
| }, |
| "optimization_specific": { |
| "bitpack": true, |
| "pack_hidden": false, |
| "popcount_readout": false, |
| "n_channels": 2880, |
| "packed_words_per_tick": 90, |
| "input_raster_bytes_uint8": 403200000, |
| "input_raster_bytes_packed": 50400000, |
| "memory_reduction_x": 8.0, |
| "mults_eliminated_per_inference": 2304024.288961039, |
| "pred_agreement_packed_vs_float": 1.0, |
| "popcount_counts_exact": true, |
| "crossover_density": 0.01, |
| "packed_ever_wins": true, |
| "packed_vs_scatter_ms": [ |
| { |
| "density": 0.01, |
| "measured_density": 0.00997178815305233, |
| "scatter_ms": 0.18633365631103516, |
| "packed_ms": 0.08299827575683594, |
| "pack_ms": 0.14783859252929688, |
| "speedup_x": 2.2450304492703665, |
| "packed_wins": true, |
| "matches_scatter": true |
| }, |
| { |
| "density": 0.05, |
| "measured_density": 0.0490993931889534, |
| "scatter_ms": 0.25913238525390625, |
| "packed_ms": 0.05818367004394531, |
| "pack_ms": 0.18223285675048828, |
| "speedup_x": 4.45369611539092, |
| "packed_wins": true, |
| "matches_scatter": true |
| }, |
| { |
| "density": 0.1, |
| "measured_density": 0.10040690004825592, |
| "scatter_ms": 0.4358053207397461, |
| "packed_ms": 0.08215904235839844, |
| "pack_ms": 0.15485286712646484, |
| "speedup_x": 5.304410911201393, |
| "packed_wins": true, |
| "matches_scatter": true |
| }, |
| { |
| "density": 0.25, |
| "measured_density": 0.24960395693778992, |
| "scatter_ms": 1.0415315628051758, |
| "packed_ms": 0.14409542083740234, |
| "pack_ms": 0.15820026397705078, |
| "speedup_x": 7.228068433766835, |
| "packed_wins": true, |
| "matches_scatter": true |
| }, |
| { |
| "density": 0.5, |
| "measured_density": 0.49802517890930176, |
| "scatter_ms": 1.3939428329467773, |
| "packed_ms": 0.2645254135131836, |
| "pack_ms": 0.1508188247680664, |
| "speedup_x": 5.269598918431726, |
| "packed_wins": true, |
| "matches_scatter": true |
| } |
| ], |
| "popcount_vs_loop_ms": { |
| "loop_ms": 0.014543533325195312, |
| "popcount_ms": 0.03673553466796875, |
| "speedup_x": 0.3958982346832814 |
| } |
| }, |
| "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": true, |
| "beta": 1.0, |
| "thresh": 1.0, |
| "window": 0.5, |
| "gain": 1.0, |
| "alpha": 0.9, |
| "readout": "spikecount", |
| "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/opt05_bitpack_popcount/no_popcount_readout", |
| "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, |
| "bitpack": true, |
| "pack_hidden": false, |
| "popcount_readout": false, |
| "sparsity_sweep": "0.01,0.05,0.1,0.25,0.5", |
| "sampling_rate": 250.0 |
| } |
| }, |
| "zip": { |
| "name": "no_popcount_readout.zip", |
| "files": 81, |
| "bytes": 12227166, |
| "MB": 12.2, |
| "sha256": "8cdd1789e39f27824056cc555ac0bf9f25fb30b1c3639e4b186cfb4d029dccd1" |
| } |
| }, |
| { |
| "key": "opt05_bitpack_popcount/pack_hidden", |
| "tag": "pack_hidden", |
| "script": "opt05_bitpack_popcount.py", |
| "hf_folder": "applied/opt05_bitpack_popcount", |
| "phase": 8, |
| "status": "ok", |
| "duration_s": 193.8, |
| "optimization_summary": { |
| "optimization": "bitpack_popcount", |
| "research_section": "3. Spike-Sparsity & MAC->AC Restructuring", |
| "reference": "SATA, arXiv:2204.05422; BMXNet/BiFSMNv2 popcount GEMM", |
| "script": "opt05_bitpack_popcount.py", |
| "baseline_mode": false, |
| "method": "harmonic_matched", |
| "accuracy": { |
| "test_acc": 0.9271428571428572, |
| "test_target_acc": 0.9271428571428572, |
| "best_val_acc": 0.9228571428571428 |
| }, |
| "efficiency": { |
| "spikes_per_inference": null, |
| "syn_ops_per_inference": 2291345.293831169, |
| "dense_macs_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.018678145980859776, |
| "syn_ops_per_inference_dense_fanout": 25133662.419642854, |
| "weight_sparsity": 0.7324707846410685, |
| "effective_ticks": 12.297857142857143, |
| "num_ticks": 100, |
| "membrane_bytes_per_inference": 451200, |
| "weight_bytes": 4907008, |
| "input_raster_bytes": 50400000, |
| "train_ms_per_step": 46.712857349996284, |
| "infer_ms_per_sample": 0.314021705000016, |
| "peak_vram_mb": 473.901056 |
| }, |
| "optimization_specific": { |
| "bitpack": true, |
| "pack_hidden": true, |
| "popcount_readout": true, |
| "n_channels": 2880, |
| "packed_words_per_tick": 90, |
| "input_raster_bytes_uint8": 403200000, |
| "input_raster_bytes_packed": 50400000, |
| "memory_reduction_x": 8.0, |
| "mults_eliminated_per_inference": 2291345.293831169, |
| "pred_agreement_packed_vs_float": 1.0, |
| "popcount_counts_exact": true, |
| "crossover_density": 0.01, |
| "packed_ever_wins": true, |
| "packed_vs_scatter_ms": [ |
| { |
| "density": 0.01, |
| "measured_density": 0.00997178815305233, |
| "scatter_ms": 0.21582603454589844, |
| "packed_ms": 0.054230690002441406, |
| "pack_ms": 0.1563882827758789, |
| "speedup_x": 3.97977666402884, |
| "packed_wins": true, |
| "matches_scatter": true |
| }, |
| { |
| "density": 0.05, |
| "measured_density": 0.0490993931889534, |
| "scatter_ms": 0.28000354766845703, |
| "packed_ms": 0.06385326385498047, |
| "pack_ms": 0.17946243286132812, |
| "speedup_x": 4.385109401837055, |
| "packed_wins": true, |
| "matches_scatter": true |
| }, |
| { |
| "density": 0.1, |
| "measured_density": 0.10040690004825592, |
| "scatter_ms": 0.4474973678588867, |
| "packed_ms": 0.08409976959228516, |
| "pack_ms": 0.15193939208984375, |
| "speedup_x": 5.321029653569201, |
| "packed_wins": true, |
| "matches_scatter": true |
| }, |
| { |
| "density": 0.25, |
| "measured_density": 0.24960395693778992, |
| "scatter_ms": 1.051797866821289, |
| "packed_ms": 0.14562606811523438, |
| "pack_ms": 0.15091896057128906, |
| "speedup_x": 7.222593320235756, |
| "packed_wins": true, |
| "matches_scatter": true |
| }, |
| { |
| "density": 0.5, |
| "measured_density": 0.49802517890930176, |
| "scatter_ms": 1.3959503173828125, |
| "packed_ms": 0.26564598083496094, |
| "pack_ms": 0.15308856964111328, |
| "speedup_x": 5.254927302100161, |
| "packed_wins": true, |
| "matches_scatter": true |
| } |
| ], |
| "popcount_vs_loop_ms": { |
| "loop_ms": 0.013861656188964844, |
| "popcount_ms": 0.039763450622558594, |
| "speedup_x": 0.3486029499940041 |
| } |
| }, |
| "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": true, |
| "beta": 1.0, |
| "thresh": 1.0, |
| "window": 0.5, |
| "gain": 1.0, |
| "alpha": 0.9, |
| "readout": "spikecount", |
| "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/opt05_bitpack_popcount/pack_hidden", |
| "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, |
| "bitpack": true, |
| "pack_hidden": true, |
| "popcount_readout": true, |
| "sparsity_sweep": "0.01,0.05,0.1,0.25,0.5", |
| "sampling_rate": 250.0 |
| } |
| }, |
| "zip": { |
| "name": "pack_hidden.zip", |
| "files": 81, |
| "bytes": 12231707, |
| "MB": 12.2, |
| "sha256": "4f200d9506da567a82c128d9e9d3f86f6475492fd0f1fc004430ff94d4670595" |
| } |
| }, |
| { |
| "key": "opt05_bitpack_popcount/sparsity_sweep_fine", |
| "tag": "sparsity_sweep_fine", |
| "script": "opt05_bitpack_popcount.py", |
| "hf_folder": "applied/opt05_bitpack_popcount", |
| "phase": 8, |
| "status": "ok", |
| "duration_s": 196.4, |
| "optimization_summary": { |
| "optimization": "bitpack_popcount", |
| "research_section": "3. Spike-Sparsity & MAC->AC Restructuring", |
| "reference": "SATA, arXiv:2204.05422; BMXNet/BiFSMNv2 popcount GEMM", |
| "script": "opt05_bitpack_popcount.py", |
| "baseline_mode": false, |
| "method": "harmonic_matched", |
| "accuracy": { |
| "test_acc": 0.9207142857142857, |
| "test_target_acc": 0.9207142857142857, |
| "best_val_acc": 0.9242857142857143 |
| }, |
| "efficiency": { |
| "spikes_per_inference": null, |
| "syn_ops_per_inference": 2273065.336850649, |
| "dense_macs_per_inference": 122675200.0, |
| "event_fraction_of_dense": 0.018529134958415794, |
| "syn_ops_per_inference_dense_fanout": 25115382.46266234, |
| "weight_sparsity": 0.7324707846410685, |
| "effective_ticks": 12.225714285714286, |
| "num_ticks": 100, |
| "membrane_bytes_per_inference": 451200, |
| "weight_bytes": 4907008, |
| "input_raster_bytes": 50400000, |
| "train_ms_per_step": 46.60649305001243, |
| "infer_ms_per_sample": 0.32181249843745263, |
| "peak_vram_mb": 475.024896 |
| }, |
| "optimization_specific": { |
| "bitpack": true, |
| "pack_hidden": false, |
| "popcount_readout": true, |
| "n_channels": 2880, |
| "packed_words_per_tick": 90, |
| "input_raster_bytes_uint8": 403200000, |
| "input_raster_bytes_packed": 50400000, |
| "memory_reduction_x": 8.0, |
| "mults_eliminated_per_inference": 2273065.336850649, |
| "pred_agreement_packed_vs_float": 1.0, |
| "popcount_counts_exact": true, |
| "crossover_density": 0.005, |
| "packed_ever_wins": true, |
| "packed_vs_scatter_ms": [ |
| { |
| "density": 0.005, |
| "measured_density": 0.00505099818110466, |
| "scatter_ms": 0.18271446228027344, |
| "packed_ms": 0.052132606506347656, |
| "pack_ms": 0.15066146850585938, |
| "speedup_x": 3.5048019756699897, |
| "packed_wins": true, |
| "matches_scatter": true |
| }, |
| { |
| "density": 0.01, |
| "measured_density": 0.010096571408212185, |
| "scatter_ms": 0.17961978912353516, |
| "packed_ms": 0.06733894348144531, |
| "pack_ms": 0.1487874984741211, |
| "speedup_x": 2.6673983854978047, |
| "packed_wins": true, |
| "matches_scatter": true |
| }, |
| { |
| "density": 0.02, |
| "measured_density": 0.01987847313284874, |
| "scatter_ms": 0.18548965454101562, |
| "packed_ms": 0.05267620086669922, |
| "pack_ms": 0.15141010284423828, |
| "speedup_x": 3.521318004888205, |
| "packed_wins": true, |
| "matches_scatter": true |
| }, |
| { |
| "density": 0.05, |
| "measured_density": 0.0499945767223835, |
| "scatter_ms": 0.2557849884033203, |
| "packed_ms": 0.0673675537109375, |
| "pack_ms": 0.14909744262695312, |
| "speedup_x": 3.7968573046432614, |
| "packed_wins": true, |
| "matches_scatter": true |
| }, |
| { |
| "density": 0.1, |
| "measured_density": 0.0997178852558136, |
| "scatter_ms": 0.44235706329345703, |
| "packed_ms": 0.08060932159423828, |
| "pack_ms": 0.1821422576904297, |
| "speedup_x": 5.487666370896185, |
| "packed_wins": true, |
| "matches_scatter": true |
| }, |
| { |
| "density": 0.2, |
| "measured_density": 0.20055881142616272, |
| "scatter_ms": 0.8553743362426758, |
| "packed_ms": 0.1244497299194336, |
| "pack_ms": 0.15151500701904297, |
| "speedup_x": 6.873251848729836, |
| "packed_wins": true, |
| "matches_scatter": true |
| }, |
| { |
| "density": 0.35, |
| "measured_density": 0.3498643636703491, |
| "scatter_ms": 1.2200641632080078, |
| "packed_ms": 0.18867969512939453, |
| "pack_ms": 0.1557779312133789, |
| "speedup_x": 6.466324648083095, |
| "packed_wins": true, |
| "matches_scatter": true |
| }, |
| { |
| "density": 0.5, |
| "measured_density": 0.500108540058136, |
| "scatter_ms": 1.4619207382202148, |
| "packed_ms": 0.2617454528808594, |
| "pack_ms": 0.1526165008544922, |
| "speedup_x": 5.585276543029949, |
| "packed_wins": true, |
| "matches_scatter": true |
| }, |
| { |
| "density": 0.75, |
| "measured_density": 0.7519314289093018, |
| "scatter_ms": 1.6306257247924805, |
| "packed_ms": 0.4089784622192383, |
| "pack_ms": 0.1500988006591797, |
| "speedup_x": 3.9870699203674986, |
| "packed_wins": true, |
| "matches_scatter": true |
| } |
| ], |
| "popcount_vs_loop_ms": { |
| "loop_ms": 0.013418197631835938, |
| "popcount_ms": 0.03879070281982422, |
| "speedup_x": 0.34591272280270435 |
| } |
| }, |
| "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": true, |
| "beta": 1.0, |
| "thresh": 1.0, |
| "window": 0.5, |
| "gain": 1.0, |
| "alpha": 0.9, |
| "readout": "spikecount", |
| "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/opt05_bitpack_popcount/sparsity_sweep_fine", |
| "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, |
| "bitpack": true, |
| "pack_hidden": false, |
| "popcount_readout": true, |
| "sparsity_sweep": "0.005,0.01,0.02,0.05,0.1,0.2,0.35,0.5,0.75", |
| "sampling_rate": 250.0 |
| } |
| }, |
| "zip": { |
| "name": "sparsity_sweep_fine.zip", |
| "files": 81, |
| "bytes": 12240444, |
| "MB": 12.2, |
| "sha256": "486884c38e31844daef343f4b99e8f974045b1f9a9cd99ad92ed4f5a3bd47fcd" |
| } |
| }, |
| { |
| "key": "original/native_ticks", |
| "tag": "native_ticks", |
| "script": "train_ssvep_event_snn.py", |
| "hf_folder": "applied/original", |
| "phase": 6, |
| "status": "ok", |
| "duration_s": 4667.6, |
| "optimization_summary": null, |
| "zip": { |
| "name": "native_ticks.zip", |
| "files": 79, |
| "bytes": 12255444, |
| "MB": 12.3, |
| "sha256": "d1e4e901bf27e656130363ab775bf2d35142b6ded684927e519dc744b415afc6" |
| } |
| } |
| ] |