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2022-05-17 18:38:30.412072
Namespace(data='hyperspectral', algorithm='ALS-DJSSW19', rank='1,1,1', seed=0, alpha=1.0, max_num_samples=4096, max_num_steps=5, rre_gap_tol=0.0, verbose=False)
Loading hyperspectral tensor...
Finished.
AlgorithmConfig(input_shape=(1024, 1344, 33), rank=(1, 1, 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=4096, max_num_steps=5, rre_gap_tol=0.0, verbose=False)
step: 0
loss: 22265.42658570579 rmse: 0.02214159626631701 rre: 0.7002626793762806 time: 0.5450489160000003
loss: 14386.673551575152 rmse: 0.017798098745460147 rre: 0.5628927637100607 time: 0.20907255399999958
loss: 3343.23831870397 rmse: 0.008579798439154842 rre: 0.2713495707918252 time: 0.5221307700000004
loss: 3343.6232443729864 rmse: 0.008580292344955689 rre: 0.27136519133676246 time: 0.5082471779999995
Warning: The loss function increased!
rre_diff: 4.018655507741441

step: 1
loss: 3337.1583000046608 rmse: 0.008571993271148154 rre: 0.27110272012236114 time: 0.544505461
loss: 3336.5998159796804 rmse: 0.00857127596600649 rre: 0.2710800342231878 time: 0.20870685600000094
loss: 3336.5835460898825 rmse: 0.00857125506840218 rre: 0.2710793733037035 time: 0.5231557249999987
loss: 3336.5838365343816 rmse: 0.008571255441459499 rre: 0.27107938510222584 time: 0.5071962909999996
Warning: The loss function increased!
rre_diff: 0.0002858062345366119

step: 2
loss: 3336.5812713398664 rmse: 0.008571252146631203 rre: 0.2710792808981178 time: 0.5525003749999993
loss: 3336.5812363107884 rmse: 0.008571252101638584 rre: 0.27107927947515564 time: 0.2116674070000002
loss: 3336.5812345760205 rmse: 0.008571252099410386 rre: 0.2710792794046854 time: 0.5291854879999995
loss: 3338.2457703466102 rmse: 0.008573389822993065 rre: 0.27114688826295236 time: 0.5117554630000001
Warning: The loss function increased!
rre_diff: -6.750316072651197e-05

step: 3
loss: 3336.5812341535507 rmse: 0.00857125209886775 rre: 0.2710792793875237 time: 0.5485843609999996
loss: 3336.58123414143 rmse: 0.008571252098852181 rre: 0.2710792793870313 time: 0.2148950749999976
loss: 3336.5812341417713 rmse: 0.00857125209885262 rre: 0.2710792793870452 time: 0.5229300590000001
Warning: The loss function increased!
loss: 3336.5821977162545 rmse: 0.008571253336502573 rre: 0.27107931852966444 time: 0.5089467710000015
Warning: The loss function increased!
rre_diff: 6.756973328791993e-05

step: 4
loss: 3336.5812341419305 rmse: 0.008571252098852825 rre: 0.2710792793870516 time: 0.5453031079999988
loss: 3336.581234141424 rmse: 0.008571252098852174 rre: 0.2710792793870311 time: 0.21131959400000255
loss: 3336.581234143315 rmse: 0.008571252098854603 rre: 0.2710792793871079 time: 0.5234001880000001
Warning: The loss function increased!
loss: 3336.6840538499578 rmse: 0.008571384163200585 rre: 0.2710834561290038 time: 0.5152123819999979
Warning: The loss function increased!
rre_diff: -4.137599339371079e-06

