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2022-05-19 03:36:35.145050
Namespace(data='hyperspectral', algorithm='ALS-DJSSW19', rank='32,32,2', seed=0, alpha=1.0, max_num_samples=16384, max_num_steps=5, rre_gap_tol=0.0, verbose=False)
Loading hyperspectral tensor...
Finished.
AlgorithmConfig(input_shape=(1024, 1344, 33), rank=(32, 32, 2), l2_regularization_strength=0.0, algorithm='ALS-DJSSW19', 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: 9971.453895903474 rmse: 0.014817422355401351 rre: 0.4686242019428389 time: 0.6914470050000001
loss: 7733.425358956799 rmse: 0.013049064159713323 rre: 0.4126971028613108 time: 0.3645322259999997
loss: 1398.0513850641448 rmse: 0.005548236746961283 rre: 0.17547168160370888 time: 2.0671931910000003
loss: 1292.345347433656 rmse: 0.005334364761248628 rre: 0.16870764490295379 time: 790.014508292
rre_diff: 4679.14642012806

step: 1
loss: 942.044514783111 rmse: 0.004554378597954658 rre: 0.1440393601950639 time: 0.690298784000106
loss: 865.3232651540073 rmse: 0.004364983511877135 rre: 0.1380494438023101 time: 0.3667418349999707
loss: 824.1172692939639 rmse: 0.004259787401784086 rre: 0.13472245197084118 time: 2.058659327999976
loss: 851.5069621666386 rmse: 0.004329996237688848 rre: 0.13694291642856185 time: 794.75176337
Warning: The loss function increased!
rre_diff: 0.031764728474391934

step: 2
loss: 763.3364427477107 rmse: 0.004099693749095524 rre: 0.12965923932644058 time: 0.6849758939999901
loss: 738.6581011680485 rmse: 0.004032878611093847 rre: 0.12754610588307064 time: 0.35875537700007953
loss: 722.0315747219662 rmse: 0.003987232056642411 rre: 0.12610246206715098 time: 2.0541620740000326
loss: 785.4627882419427 rmse: 0.004158686904647932 rre: 0.1315249903172504 time: 792.6305890670001
Warning: The loss function increased!
rre_diff: 0.00541792611131145

step: 3
loss: 715.6869059897413 rmse: 0.00396967500846835 rre: 0.1255471929055048 time: 0.6829093639998973
loss: 698.8207635016679 rmse: 0.003922620715746843 rre: 0.12405902716076832 time: 0.35918471400009366
loss: 691.7779055207221 rmse: 0.0039028041752882697 rre: 0.12343229801483953 time: 2.0454610450001383
loss: 762.9202821389172 rmse: 0.004098576048201015 rre: 0.12962389028413507 time: 791.6145957939998
Warning: The loss function increased!
rre_diff: 0.0019011000331153327

step: 4
loss: 696.2894543832206 rmse: 0.003915509898418462 rre: 0.12383413641960245 time: 0.6852664269999877
loss: 683.924471508847 rmse: 0.003880587577947838 rre: 0.12272966330896236 time: 0.35931494800024666
loss: 680.9375472929106 rmse: 0.0038721044013267994 rre: 0.1224613695545817 time: 2.046501390999765
loss: 749.7741806160636 rmse: 0.00406311072737017 rre: 0.12850224393618284 time: 793.60223081
Warning: The loss function increased!
rre_diff: 0.0011216463479522265

