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2022-05-23 21:32:14.342954
Namespace(data='coil', algorithm='ALS-RS', rank='4,2,2,1', seed=0, alpha=1.0, max_num_samples=16384, max_num_steps=5, rre_gap_tol=0.0, verbose=False)
Loading COIL-100 tensor...
Finished.
AlgorithmConfig(input_shape=(7200, 128, 128, 3), rank=(4, 2, 2, 1), l2_regularization_strength=0.0, algorithm='ALS-RS', random_seed=0, epsilon=0.1, delta=0.01, downsampling_ratio=1.0, max_num_samples=16384, max_num_steps=5, rre_gap_tol=0.0, verbose=False)
step: 0
loss: 25447704.0039734 rmse: 0.2681559619165706 rre: 0.7743460405603894 time: 0.7140268919999997
loss: 20602881.187564243 rmse: 0.24128322765640978 rre: 0.6967464405937805 time: 1.4034208909999997
loss: 13820011.222988028 rmse: 0.19761383784063086 rre: 0.5706436351373899 time: 5.087584123999999
loss: 10964660.397549246 rmse: 0.1760194855312749 rre: 0.5082862626228891 time: 1.704370161
loss: 10799403.31825399 rmse: 0.17468798493425047 rre: 0.5044413277277611 time: 0.02975763799999953
rre_diff: 1.5358566378294805

step: 1
loss: 9741821.296468599 rmse: 0.1659140765171922 rre: 0.47910517187864243 time: 0.7162836299999995
loss: 9471453.718609883 rmse: 0.16359554599088402 rre: 0.4724100198479607 time: 1.3998234229999937
loss: 9244463.006029382 rmse: 0.16162331091328277 rre: 0.4667148549428821 time: 5.175093959999998
loss: 9242290.95063222 rmse: 0.16160432249785486 rre: 0.46666002265723006 time: 1.695854605000001
loss: 9220213.23146032 rmse: 0.16141118920903505 rre: 0.4661023173709886 time: 0.029957896999995626
rre_diff: 0.03833901035677245

step: 2
loss: 9061179.355327519 rmse: 0.16001309231181468 rre: 0.4620650743093587 time: 0.7275225980000002
loss: 9041798.028443307 rmse: 0.15984187143325768 rre: 0.46157064484217747 time: 1.3361262279999977
loss: 9010529.136288106 rmse: 0.15956524465636743 rre: 0.4607718378797405 time: 5.229369168999995
loss: 9010519.17200388 rmse: 0.15956515642881353 rre: 0.4607715831076425 time: 1.6640635499999945
loss: 9012843.591579497 rmse: 0.15958573640036722 rre: 0.4608310112828489 time: 0.029746059000004266
Warning: The loss function increased!
rre_diff: 0.005271306088139693

step: 3
loss: 8995297.397426963 rmse: 0.1594303200529433 rre: 0.46038222009280444 time: 0.713529426000008
loss: 8993728.991851456 rmse: 0.1594164204400446 rre: 0.46034208259171544 time: 1.326233197999997
loss: 8991026.991412276 rmse: 0.1593924717756189 rre: 0.46027292674173104 time: 5.078744494000006
loss: 8991024.847127581 rmse: 0.15939245276873246 rre: 0.46027287185610716 time: 1.6619206230000003
loss: 8999528.237686632 rmse: 0.1594678088035515 rre: 0.4604904752492124 time: 0.029503734999991593
Warning: The loss function increased!
rre_diff: 0.0003405360336365404

step: 4
loss: 8989690.260633599 rmse: 0.15938062258736727 rre: 0.4602387101912544 time: 0.7127090259999989
loss: 8989516.811930068 rmse: 0.15937908502072706 rre: 0.4602342702055408 time: 1.3683851370000042
loss: 8989286.648589617 rmse: 0.15937704467427788 rre: 0.46022837835744235 time: 5.112690200999992
loss: 8989286.43316676 rmse: 0.15937704276459028 rre: 0.4602283728428939 time: 1.680126782000002
loss: 8994845.30085246 rmse: 0.1594263135813365 rre: 0.4603706507232362 time: 0.029114722000002757
Warning: The loss function increased!
rre_diff: 0.00011982452597619764

