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2022-05-17 18:39:22.017587
Namespace(data='hyperspectral', algorithm='ALS-DJSSW19', rank='1,1,1', 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=(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=16384, max_num_steps=5, rre_gap_tol=0.0, verbose=False)
step: 0
loss: 22265.42658570579 rmse: 0.02214159626631701 rre: 0.7002626793762806 time: 0.5353152269999999
loss: 14386.673551575152 rmse: 0.017798098745460147 rre: 0.5628927637100607 time: 0.20678190000000019
loss: 3343.23831870397 rmse: 0.008579798439154842 rre: 0.2713495707918252 time: 0.5228922630000001
loss: 3343.9002842815426 rmse: 0.00858064780279228 rre: 0.27137643324787236 time: 0.5005780099999999
Warning: The loss function increased!
rre_diff: 4.018644265830331

step: 1
loss: 3337.1583000046617 rmse: 0.008571993271148156 rre: 0.27110272012236114 time: 0.5340721229999996
loss: 3336.5998159796754 rmse: 0.008571275966006483 rre: 0.27108003422318766 time: 0.20490200999999963
loss: 3336.58354608989 rmse: 0.00857125506840219 rre: 0.2710793733037038 time: 0.5223220990000002
loss: 3336.6548901265223 rmse: 0.008571346704750913 rre: 0.27108227144683283 time: 0.5001897139999993
Warning: The loss function increased!
rre_diff: 0.0002941618010395275

step: 2
loss: 3336.5812713398745 rmse: 0.008571252146631214 rre: 0.2710792808981181 time: 0.5331625630000012
loss: 3336.5812363107843 rmse: 0.00857125210163858 rre: 0.2710792794751555 time: 0.2051021750000004
loss: 3336.5812345760246 rmse: 0.008571252099410391 rre: 0.27107927940468557 time: 0.523143919999999
loss: 3336.9688720636004 rmse: 0.008571749980609694 rre: 0.2710950256778287 time: 0.49984239200000147
Warning: The loss function increased!
rre_diff: -1.275423099589279e-05

step: 3
loss: 3336.581234153549 rmse: 0.008571252098867747 rre: 0.27107927938752363 time: 0.5338328209999972
loss: 3336.581234141433 rmse: 0.008571252098852185 rre: 0.2710792793870314 time: 0.20487771700000224
loss: 3336.5812341417686 rmse: 0.008571252098852617 rre: 0.27107927938704507 time: 0.5235257820000001
Warning: The loss function increased!
loss: 3336.5868924750866 rmse: 0.008571259366618237 rre: 0.2710795092415219 time: 0.5000668130000001
Warning: The loss function increased!
rre_diff: 1.5516436306817205e-05

step: 4
loss: 3336.5812341419314 rmse: 0.008571252098852825 rre: 0.2710792793870517 time: 0.5331949319999971
loss: 3336.581234141419 rmse: 0.008571252098852167 rre: 0.27107927938703086 time: 0.20529727999999992
loss: 3336.5812341433143 rmse: 0.008571252098854601 rre: 0.27107927938710785 time: 0.5238245839999998
Warning: The loss function increased!
loss: 3336.61212871178 rmse: 0.008571291780867902 rre: 0.27108053439296304 time: 0.4997425590000013
Warning: The loss function increased!
rre_diff: -1.0251514411252494e-06

