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2022-05-23 21:57:13.717485
Namespace(data='coil', algorithm='ALS-RS', rank='8,4,4,2', 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=(8, 4, 4, 2), 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: 20453982.517084766 rmse: 0.24040976004570447 rre: 0.694224154007 time: 2.1858584709999995
loss: 15884173.022140771 rmse: 0.21185828840555065 rre: 0.6117769137565525 time: 2.885692776999999
loss: 9978827.109688206 rmse: 0.16792018494129932 rre: 0.48489815184462765 time: 6.6847265540000045
loss: 9749991.980409142 rmse: 0.16598363986211373 rre: 0.4793060478924485 time: 2.3940508539999996
loss: 7655487.4294683635 rmse: 0.14707863093325166 rre: 0.4247146127209355 time: 0.22305648600000438
rre_diff: 31.337472214608695

step: 1
loss: 6854647.76966939 rmse: 0.13917323631540637 rre: 0.40188643848365924 time: 2.1243548850000025
loss: 6797315.984606705 rmse: 0.13858999669974661 rre: 0.4002022346947291 time: 2.9028560359999886
loss: 6706739.855953345 rmse: 0.13766352482226885 rre: 0.3975268892543817 time: 6.732927068000009
loss: 6696092.984489253 rmse: 0.13755421180002933 rre: 0.39721122927297436 time: 2.4023326439999977
loss: 6663527.473030075 rmse: 0.1372193162916372 rre: 0.39624416141786695 time: 0.23065896599999292
rre_diff: 0.028470451303068578

step: 2
loss: 6575233.732616343 rmse: 0.13630718613880607 rre: 0.3936102301516277 time: 2.2324943640000043
loss: 6550194.96783626 rmse: 0.13604740686032563 rre: 0.3928600732120868 time: 2.8590614499999987
loss: 6536565.550068092 rmse: 0.13590579179990092 rre: 0.3924511355903393 time: 6.761931815000011
loss: 6535073.326242036 rmse: 0.1358902780385279 rre: 0.39240633696043925 time: 2.4680014650000146
loss: 6574250.617064448 rmse: 0.13629699557148806 rre: 0.39358080315176774 time: 0.23574116599999684
Warning: The loss function increased!
rre_diff: 0.002663358266099203

step: 3
loss: 6477314.829038225 rmse: 0.1352884303364739 rre: 0.39066839915075935 time: 2.1621973839999953
loss: 6447566.146990769 rmse: 0.13497739989390817 rre: 0.38977024574043373 time: 2.9107376179999846
loss: 6440826.32674254 rmse: 0.13490683363244999 rre: 0.3895664736342059 time: 6.631927143000013
loss: 6440361.123434059 rmse: 0.13490196156825907 rre: 0.3895524047185322 time: 2.3921802919999777
loss: 6456757.991796871 rmse: 0.1350735795535705 rre: 0.3900479808991438 time: 0.2332666879999863
Warning: The loss function increased!
rre_diff: 0.0035328222526239683

step: 4
loss: 6373631.460191286 rmse: 0.1342012709088498 rre: 0.3875290410241609 time: 2.1362163309999858
loss: 6355347.091708159 rmse: 0.13400863756803946 rre: 0.3869727794230005 time: 2.8671787600000016
loss: 6348400.750523998 rmse: 0.13393538238606123 rre: 0.3867612426005113 time: 6.637489054000014
loss: 6348256.58352649 rmse: 0.13393386159584003 rre: 0.38675685105956664 time: 2.401908566000003
loss: 6376832.476475206 rmse: 0.13423496649769034 rre: 0.3876263427795145 time: 0.2378089440000224
Warning: The loss function increased!
rre_diff: 0.0024216381196292547

