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2022-05-23 20:35:51.641534
Namespace(data='hyperspectral', algorithm='ALS-RS', 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-RS', 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: 0.5481766789999996
loss: 14386.673551575152 rmse: 0.017798098745460147 rre: 0.5628927637100607 time: 0.21002127100000045
loss: 3343.23831870397 rmse: 0.008579798439154842 rre: 0.2713495707918252 time: 0.5307220620000006
loss: 3344.8047613944696 rmse: 0.008581808195470459 rre: 0.27141313248473753 time: 0.5150897569999993
Warning: The loss function increased!
rre_diff: 4.018607566593466

step: 1
loss: 3337.1583000046608 rmse: 0.008571993271148154 rre: 0.27110272012236114 time: 0.5466260590000012
loss: 3336.5998159796773 rmse: 0.008571275966006486 rre: 0.2710800342231877 time: 0.20936920499999978
loss: 3336.5835460898884 rmse: 0.008571255068402187 rre: 0.27107937330370374 time: 0.5282214669999998
loss: 3336.5844500880153 rmse: 0.008571256229529714 rre: 0.27107941002618136 time: 0.5093650099999998
Warning: The loss function increased!
rre_diff: 0.0003337224585561738

step: 2
loss: 3336.581271339865 rmse: 0.008571252146631202 rre: 0.27107928089811767 time: 0.5457081810000002
loss: 3336.581236310786 rmse: 0.008571252101638581 rre: 0.2710792794751556 time: 0.20782496100000003
loss: 3336.581234576026 rmse: 0.008571252099410393 rre: 0.2710792794046856 time: 0.5280052550000001
loss: 3337.7866065320864 rmse: 0.00857280018310124 rre: 0.27112823997736574 time: 0.5101303430000002
Warning: The loss function increased!
rre_diff: -4.882995118438149e-05

step: 3
loss: 3336.5812341535475 rmse: 0.008571252098867745 rre: 0.2710792793875235 time: 0.5443627319999997
loss: 3336.58123414143 rmse: 0.008571252098852181 rre: 0.2710792793870313 time: 0.20718746300000035
loss: 3336.5812341417713 rmse: 0.00857125209885262 rre: 0.2710792793870452 time: 0.5273770990000024
Warning: The loss function increased!
loss: 3336.5971129596724 rmse: 0.008571272494158441 rre: 0.2710799244205527 time: 0.5091083990000023
Warning: The loss function increased!
rre_diff: 4.83155568130611e-05

step: 4
loss: 3336.5812341419287 rmse: 0.008571252098852821 rre: 0.27107927938705156 time: 0.5432299010000001
loss: 3336.5812341414216 rmse: 0.008571252098852171 rre: 0.27107927938703097 time: 0.20557458300000064
loss: 3336.581234143317 rmse: 0.008571252098854605 rre: 0.27107927938710796 time: 0.5277877659999994
Warning: The loss function increased!
loss: 3336.9647347108953 rmse: 0.008571744666750722 rre: 0.27109485761871155 time: 0.5092960700000013
Warning: The loss function increased!
rre_diff: -1.4933198158872951e-05

