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PSO/benchmark_results/pso_v6_heavy_tasks.csv
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jung-geun 813433000a feat: modernize PSO and add convergence research 
Migrate the package and examples to the tensor-native PyTorch implementation, add benchmark evidence, and add the guarded post-training convergence protocol with TensorBoard progress monitoring and hash-verified recovery.

Constraint: Preserve one-shot official-test sealing and auditable research artifacts

Rejected: Commit local .omc runs and downloaded datasets | multi-gigabyte runtime state is machine-local

Confidence: high

Scope-risk: broad

Not-tested: Production CUDA run on pieroot-server
2026-09-07 22:03:25 +09:00

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section,workload,method,metric,value
protocol,global,all,version,HEAVY-TASK-PSO-V6 1.0.0
protocol,global,all,official_test_data_loaded,False
protocol,global,all,official_test_evaluations,0
baseline,mnist_compact,untrained,val_nll,2.325095
baseline,mnist_compact,untrained,val_accuracy,6.65
baseline,mnist_wide,untrained,val_nll,2.32458
baseline,mnist_wide,untrained,val_accuracy,9.31
baseline,fashion_compact,untrained,val_nll,2.320302
baseline,fashion_compact,untrained,val_accuracy,8.08
baseline,fashion_wide,untrained,val_nll,2.311222
baseline,fashion_wide,untrained,val_accuracy,8.77
screen,mnist_compact,G0,val_nll,2.019988
screen,mnist_compact,G0,val_acc,33.32
screen,mnist_compact,G0,gbest_loss,2.014459
screen,mnist_compact,G0,gbest_acc,34.4
screen,mnist_compact,G0,throughput_sps,1106883.43
screen,mnist_compact,G5,val_nll,1.959743
screen,mnist_compact,G5,val_acc,33.95
screen,mnist_compact,G5,gbest_loss,1.971574
screen,mnist_compact,G5,gbest_acc,32.35
screen,mnist_compact,G5,throughput_sps,1139465.88
screen,mnist_compact,G6,val_nll,1.957307
screen,mnist_compact,G6,val_acc,35.11
screen,mnist_compact,G6,gbest_loss,1.941859
screen,mnist_compact,G6,gbest_acc,35.35
screen,mnist_compact,G6,throughput_sps,1340969.41
screen,mnist_compact,G8,val_nll,1.690442
screen,mnist_compact,G8,val_acc,43.88
screen,mnist_compact,G8,gbest_loss,1.675063
screen,mnist_compact,G8,gbest_acc,43.6
screen,mnist_compact,G8,throughput_sps,984615.38
screen,mnist_wide,G0,val_nll,2.088156
screen,mnist_wide,G0,val_acc,33.19
screen,mnist_wide,G0,gbest_loss,2.087951
screen,mnist_wide,G0,gbest_acc,32.45
screen,mnist_wide,G0,throughput_sps,595459.62
screen,mnist_wide,G5,val_nll,1.913566
screen,mnist_wide,G5,val_acc,39.87
screen,mnist_wide,G5,gbest_loss,1.924357
screen,mnist_wide,G5,gbest_acc,39.5
screen,mnist_wide,G5,throughput_sps,772511.47
screen,mnist_wide,G6,val_nll,2.017511
screen,mnist_wide,G6,val_acc,29.46
screen,mnist_wide,G6,gbest_loss,2.014518
screen,mnist_wide,G6,gbest_acc,27.8
screen,mnist_wide,G6,throughput_sps,777013.35
screen,mnist_wide,G8,val_nll,2.056341
screen,mnist_wide,G8,val_acc,20.43
screen,mnist_wide,G8,gbest_loss,2.062368
screen,mnist_wide,G8,gbest_acc,20.3
screen,mnist_wide,G8,throughput_sps,855005.34
screen,fashion_compact,G0,val_nll,1.969548
screen,fashion_compact,G0,val_acc,28.25
screen,fashion_compact,G0,gbest_loss,1.96974
screen,fashion_compact,G0,gbest_acc,28.15
screen,fashion_compact,G0,throughput_sps,1219977.13
screen,fashion_compact,G5,val_nll,1.892402
screen,fashion_compact,G5,val_acc,34.31
screen,fashion_compact,G5,gbest_loss,1.874629
screen,fashion_compact,G5,gbest_acc,36.6
screen,fashion_compact,G5,throughput_sps,1122281.97
screen,fashion_compact,G6,val_nll,1.824273
screen,fashion_compact,G6,val_acc,35.2
screen,fashion_compact,G6,gbest_loss,1.844914
screen,fashion_compact,G6,gbest_acc,33.5
screen,fashion_compact,G6,throughput_sps,1152322.65
screen,fashion_compact,G8,val_nll,1.88018
screen,fashion_compact,G8,val_acc,30.85
screen,fashion_compact,G8,gbest_loss,1.895269
screen,fashion_compact,G8,gbest_acc,28.85
screen,fashion_compact,G8,throughput_sps,1193139.45
screen,fashion_wide,G0,val_nll,1.981316
screen,fashion_wide,G0,val_acc,36.39
screen,fashion_wide,G0,gbest_loss,1.98436
screen,fashion_wide,G0,gbest_acc,36.05
screen,fashion_wide,G0,throughput_sps,540327.57
screen,fashion_wide,G5,val_nll,1.945862
screen,fashion_wide,G5,val_acc,31.97
screen,fashion_wide,G5,gbest_loss,1.938569
screen,fashion_wide,G5,gbest_acc,33.3
screen,fashion_wide,G5,throughput_sps,807401.18
screen,fashion_wide,G6,val_nll,1.975825
screen,fashion_wide,G6,val_acc,28.64
screen,fashion_wide,G6,gbest_loss,1.960139
screen,fashion_wide,G6,gbest_acc,28.1
screen,fashion_wide,G6,throughput_sps,735350.44
screen,fashion_wide,G8,val_nll,1.987923
screen,fashion_wide,G8,val_acc,28.69
screen,fashion_wide,G8,gbest_loss,1.976977
screen,fashion_wide,G8,gbest_acc,28.45
screen,fashion_wide,G8,throughput_sps,865800.87
confirm,mnist_compact,G8,val_acc_mean,49.153333
confirm,mnist_compact,G8,val_acc_std,1.320656
confirm,mnist_compact,G8,val_nll_mean,1.518089
confirm,mnist_compact,G8,val_nll_std,0.061523
confirm,mnist_compact,G8,wall_time_sec_mean,4.530167
confirm,mnist_compact,G6,val_acc_mean,45.966667
confirm,mnist_compact,G6,val_acc_std,3.545438
confirm,mnist_compact,G6,val_nll_mean,1.642081
confirm,mnist_compact,G6,val_nll_std,0.091398
confirm,mnist_compact,G6,wall_time_sec_mean,5.2706
confirm,mnist_wide,G8,val_acc_mean,41.03
confirm,mnist_wide,G8,val_acc_std,4.055083
confirm,mnist_wide,G8,val_nll_mean,1.733351
confirm,mnist_wide,G8,val_nll_std,0.084331
confirm,mnist_wide,G8,wall_time_sec_mean,9.4569
confirm,mnist_wide,G5,val_acc_mean,43.86
confirm,mnist_wide,G5,val_acc_std,3.512222
confirm,mnist_wide,G5,val_nll_mean,1.721259
confirm,mnist_wide,G5,val_nll_std,0.098656
confirm,mnist_wide,G5,wall_time_sec_mean,9.868467
confirm,fashion_compact,G8,val_acc_mean,47.003333
confirm,fashion_compact,G8,val_acc_std,5.2259
confirm,fashion_compact,G8,val_nll_mean,1.511217
confirm,fashion_compact,G8,val_nll_std,0.168628
confirm,fashion_compact,G8,wall_time_sec_mean,5.0146
confirm,fashion_compact,G6,val_acc_mean,45.616667
confirm,fashion_compact,G6,val_acc_std,3.585392
confirm,fashion_compact,G6,val_nll_mean,1.584443
confirm,fashion_compact,G6,val_nll_std,0.053077
confirm,fashion_compact,G6,wall_time_sec_mean,4.839267
confirm,fashion_wide,G8,val_acc_mean,41.666667
confirm,fashion_wide,G8,val_acc_std,2.269016
confirm,fashion_wide,G8,val_nll_mean,1.615937
confirm,fashion_wide,G8,val_nll_std,0.036692
confirm,fashion_wide,G8,wall_time_sec_mean,9.499333
confirm,fashion_wide,G5,val_acc_mean,46.31
confirm,fashion_wide,G5,val_acc_std,7.568494
confirm,fashion_wide,G5,val_nll_mean,1.525747
confirm,fashion_wide,G5,val_nll_std,0.149706
confirm,fashion_wide,G5,wall_time_sec_mean,10.038833
feasibility,mnist_compact,G8,execution_feasible,True
feasibility,mnist_compact,G8,optimization_feasible,True
feasibility,mnist_compact,G8,mean_val_nll,1.518089
feasibility,mnist_compact,G8,mean_val_acc,49.1533
feasibility,mnist_compact,G6,execution_feasible,True
feasibility,mnist_compact,G6,optimization_feasible,True
feasibility,mnist_compact,G6,mean_val_nll,1.642081
feasibility,mnist_compact,G6,mean_val_acc,45.9667
feasibility,mnist_wide,G8,execution_feasible,True
feasibility,mnist_wide,G8,optimization_feasible,True
feasibility,mnist_wide,G8,mean_val_nll,1.733351
feasibility,mnist_wide,G8,mean_val_acc,41.03
feasibility,mnist_wide,G5,execution_feasible,True
feasibility,mnist_wide,G5,optimization_feasible,True
feasibility,mnist_wide,G5,mean_val_nll,1.721259
feasibility,mnist_wide,G5,mean_val_acc,43.86
feasibility,fashion_compact,G8,execution_feasible,True
feasibility,fashion_compact,G8,optimization_feasible,True
feasibility,fashion_compact,G8,mean_val_nll,1.511217
feasibility,fashion_compact,G8,mean_val_acc,47.0033
feasibility,fashion_compact,G6,execution_feasible,True
feasibility,fashion_compact,G6,optimization_feasible,True
feasibility,fashion_compact,G6,mean_val_nll,1.584443
feasibility,fashion_compact,G6,mean_val_acc,45.6167
feasibility,fashion_wide,G8,execution_feasible,True
feasibility,fashion_wide,G8,optimization_feasible,True
feasibility,fashion_wide,G8,mean_val_nll,1.615937
feasibility,fashion_wide,G8,mean_val_acc,41.6667
feasibility,fashion_wide,G5,execution_feasible,True
feasibility,fashion_wide,G5,optimization_feasible,True
feasibility,fashion_wide,G5,mean_val_nll,1.525747
feasibility,fashion_wide,G5,mean_val_acc,46.31
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