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2022-05-23 20:45:40.898656
Namespace(data='hyperspectral', algorithm='ALS-RS', rank='8,8,8', 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=(8, 8, 8), 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: 7931.8450921861995 rmse: 0.013215406590008593 rre: 0.4179579428898018 time: 0.9349319700000001
loss: 5580.877036266325 rmse: 0.01108522836256101 rre: 0.3505877183061889 time: 0.5840686279999998
loss: 2551.243696330762 rmse: 0.007494961213517175 rre: 0.23703989351404844 time: 0.8755543540000001
loss: 2191.5288634714966 rmse: 0.0069465155915068326 rre: 0.21969444126472712 time: 0.9383758459999996
rre_diff: 1094.02034061281

step: 1
loss: 1754.7439494351993 rmse: 0.006215846687926469 rre: 0.19658589217892883 time: 0.9263919109999996
loss: 1609.7393123329914 rmse: 0.005953484023982406 rre: 0.18828826179076855 time: 0.5809837929999997
loss: 1476.184354808309 rmse: 0.00570116639383481 rre: 0.18030832133770297 time: 0.8653326650000004
loss: 1556.2189083423464 rmse: 0.005853677086794631 rre: 0.1851317109976456 time: 0.9356593939999982
Warning: The loss function increased!
rre_diff: 0.03456273026708151

step: 2
loss: 1467.96640654217 rmse: 0.005685274991510557 rre: 0.17980573083624232 time: 0.9257835109999988
loss: 1441.0835445019761 rmse: 0.005632977245718922 rre: 0.17815173267129963 time: 0.5818990030000002
loss: 1364.5171604570162 rmse: 0.00548129174529855 rre: 0.17335444101855244 time: 0.8681178629999984
loss: 1480.7210873338483 rmse: 0.00570992032251756 rre: 0.18058517805032295 time: 0.9322865660000019
Warning: The loss function increased!
rre_diff: 0.004546532947322657

step: 3
loss: 1429.5447014755182 rmse: 0.005610380126075351 rre: 0.17743706335128023 time: 0.9303017979999986
loss: 1412.610684990533 rmse: 0.0055770515763517384 rre: 0.17638299573806632 time: 0.5847509799999955
loss: 1347.2678922243606 rmse: 0.005446536235718925 rre: 0.1722552435637447 time: 0.8799308170000018
loss: 1429.4761178474903 rmse: 0.0056102455430719605 rre: 0.17743280695289687 time: 0.9423500279999999
Warning: The loss function increased!
rre_diff: 0.003152371097426082

step: 4
loss: 1400.1589412854698 rmse: 0.005552417143135306 rre: 0.17560389318369007 time: 0.929963162
loss: 1391.3557812492534 rmse: 0.0055349348823157 rre: 0.1750509892893256 time: 0.6169171829999982
loss: 1341.2580909838412 rmse: 0.005434374888707594 rre: 0.1718706219068168 time: 0.8696856850000003
loss: 1421.3384463902319 rmse: 0.0055942538469162615 rre: 0.17692704450184915 time: 0.9694332299999999
Warning: The loss function increased!
rre_diff: 0.0005057624510477199

