###################################
2022-05-17 21:02:39.036056
Namespace(data='coil', algorithm='ALS-DJSSW19', rank='8,2,2,1', seed=0, alpha=1.0, max_num_samples=1024, 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, 2, 2, 1), l2_regularization_strength=0.0, algorithm='ALS-DJSSW19', random_seed=0, epsilon=0.1, delta=0.01, downsampling_ratio=1.0, max_num_samples=1024, max_num_steps=5, rre_gap_tol=0.0, verbose=False)
step: 0
loss: 32171598.5889894 rmse: 0.30150844121615367 rre: 0.8706570086400014 time: 0.7172735370000005
loss: 28765710.97614656 rmse: 0.28510229353880234 rre: 0.8232814612010878 time: 1.3769197089999992
loss: 23310100.950319067 rmse: 0.256646432617478 rre: 0.7411103131957336 time: 5.1014016600000005
loss: 11027147.435359444 rmse: 0.17652033597946515 rre: 0.5097325536495629 time: 1.6748089630000003
loss: 11137899.314458769 rmse: 0.17740456810618643 rre: 0.5122859246108841 time: 0.02035237099999776
Warning: The loss function increased!
rre_diff: 2.1052456183712263

step: 1
loss: 9227020.454657417 rmse: 0.1614707626286787 rre: 0.46627434577302007 time: 0.7190128989999991
loss: 9177208.646316849 rmse: 0.16103432514052077 rre: 0.4650140581460294 time: 1.330693310000001
loss: 9067443.969824333 rmse: 0.16006839676490328 rre: 0.46222477534292317 time: 5.114710373999998
loss: 9032899.535995323 rmse: 0.15976319782178244 rre: 0.4613434613810789 time: 1.662571524999997
loss: 9284703.058703486 rmse: 0.1619746925138164 rre: 0.46772952919869326 time: 0.020114685000002908
Warning: The loss function increased!
rre_diff: 0.04455639541219081

step: 2
loss: 8999470.782717448 rmse: 0.15946729976394283 rre: 0.46048900531058923 time: 0.7170265840000027
loss: 8997391.270717772 rmse: 0.15944887460705326 rre: 0.4604357995299601 time: 1.3398667240000037
loss: 8991806.828301974 rmse: 0.1593993840802073 rre: 0.4602928871992607 time: 5.127732700999999
loss: 8991703.227690984 rmse: 0.15939846580418865 rre: 0.4602902355207595 time: 1.6973033109999989
loss: 9142451.741773952 rmse: 0.16072909266827098 rre: 0.46413264736311116 time: 0.020450650000000792
Warning: The loss function increased!
rre_diff: 0.0035968818355820997

step: 3
loss: 8989772.051334029 rmse: 0.159381347630318 rre: 0.46024080387634025 time: 0.7262008969999982
loss: 8989579.589315096 rmse: 0.15937964152364748 rre: 0.4602358772025656 time: 1.328053183999998
loss: 8989279.570646461 rmse: 0.1593769819294835 rre: 0.4602281971711553 time: 5.096469487999997
loss: 8989278.691918915 rmse: 0.15937697413970756 rre: 0.46022817467684973 time: 1.6671149529999951
loss: 9298212.835026834 rmse: 0.16209249091976755 rre: 0.4680696921716908 time: 0.021656176999997
Warning: The loss function increased!
rre_diff: -0.003937044808579648

step: 4
loss: 8989142.64692562 rmse: 0.15937576811850396 rre: 0.4602246920850879 time: 0.7399700219999943
loss: 8989122.428483127 rmse: 0.15937558888385717 rre: 0.46022417451449926 time: 1.3770643769999964
loss: 8989105.611056237 rmse: 0.15937543979874963 rre: 0.46022374400584337 time: 5.132291168000009
loss: 8989105.576409023 rmse: 0.1593754394916048 rre: 0.4602237431189103 time: 1.6943369660000087
loss: 9235913.63611525 rmse: 0.16154855821596614 rre: 0.466498993789639 time: 0.02025769399998012
Warning: The loss function increased!
rre_diff: 0.0015706983820518161

