###################################
2022-05-17 18:37:38.803609
Namespace(data='hyperspectral', algorithm='ALS-DJSSW19', rank='1,1,1', seed=0, alpha=1.0, max_num_samples=1028, 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=1028, max_num_steps=5, rre_gap_tol=0.0, verbose=False)
step: 0
loss: 22265.42658570579 rmse: 0.02214159626631701 rre: 0.7002626793762806 time: 0.5534410779999996
loss: 14386.673551575152 rmse: 0.017798098745460147 rre: 0.5628927637100607 time: 0.20998347000000006
loss: 3343.23831870397 rmse: 0.008579798439154842 rre: 0.2713495707918252 time: 0.528279596
loss: 3345.4105805150507 rmse: 0.008582585339200996 rre: 0.2714377108730551 time: 0.5148724090000005
Warning: The loss function increased!
rre_diff: 4.018582988205148

step: 1
loss: 3337.1583000046617 rmse: 0.008571993271148156 rre: 0.27110272012236114 time: 0.5532269410000001
loss: 3336.5998159796754 rmse: 0.008571275966006483 rre: 0.27108003422318766 time: 0.21000866299999998
loss: 3336.583546089886 rmse: 0.008571255068402183 rre: 0.27107937330370363 time: 0.5281625699999992
loss: 3336.6065874402234 rmse: 0.008571284663487572 rre: 0.27108030929465665 time: 0.514437633
Warning: The loss function increased!
rre_diff: 0.0003574015783984752

step: 2
loss: 3336.58127133987 rmse: 0.008571252146631209 rre: 0.2710792808981179 time: 0.5543103709999997
loss: 3336.5812363107834 rmse: 0.008571252101638577 rre: 0.2710792794751555 time: 0.2118009660000002
loss: 3336.581234576022 rmse: 0.008571252099410388 rre: 0.27107927940468546 time: 0.5287042970000009
loss: 3336.6659659160377 rmse: 0.008571360930728173 rre: 0.2710827213656568 time: 0.514349296999999
Warning: The loss function increased!
rre_diff: -2.4120710001573897e-06

step: 3
loss: 3336.581234153548 rmse: 0.008571252098867745 rre: 0.2710792793875236 time: 0.5532123019999986
loss: 3336.581234141429 rmse: 0.00857125209885218 rre: 0.27107927938703125 time: 0.21242582300000024
loss: 3336.5812341417695 rmse: 0.008571252098852617 rre: 0.2710792793870451 time: 0.5285567120000003
Warning: The loss function increased!
loss: 3339.513384362445 rmse: 0.008575017431976698 rre: 0.2711983639476386 time: 0.5132688969999997
Warning: The loss function increased!
rre_diff: -0.00011564258198176747

step: 4
loss: 3336.581234141933 rmse: 0.008571252098852827 rre: 0.27107927938705173 time: 0.5478495099999989
loss: 3336.581234141422 rmse: 0.008571252098852171 rre: 0.271079279387031 time: 0.2075644280000013
loss: 3336.5812341433134 rmse: 0.0085712520988546 rre: 0.27107927938710785 time: 0.5238543500000006
Warning: The loss function increased!
loss: 3347.1566111786874 rmse: 0.008584824750781322 rre: 0.27150853577359996 time: 0.5143363140000012
Warning: The loss function increased!
rre_diff: -0.0003101718259613806

