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2022-05-17 18:49:41.822135
Namespace(data='hyperspectral', algorithm='ALS-DJSSW19', rank='4,4,4', 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=(4, 4, 4), 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: 10636.907299201828 rmse: 0.015303864245052822 rre: 0.48400868899205834 time: 0.687871184
loss: 6834.27111765115 rmse: 0.012267032590308103 rre: 0.38796412897985594 time: 0.38339952300000046
loss: 3012.424370558911 rmse: 0.008144257445983285 rre: 0.2575749043591032 time: 0.6595375670000001
loss: 2757.7674822030845 rmse: 0.007792417994598188 rre: 0.246447430351639 time: 0.5088183530000006
rre_diff: 128.8870942235572

step: 1
loss: 2448.1788491519783 rmse: 0.0073420102785266795 rre: 0.23220258050999523 time: 0.6765567140000002
loss: 2336.0312432253822 rmse: 0.007171875483888491 rre: 0.22682180101625513 time: 0.3523919150000001
loss: 2284.69381232129 rmse: 0.007092631885480072 rre: 0.22431559803624174 time: 0.657597366000001
loss: 2360.559771972572 rmse: 0.007209429814756491 rre: 0.2280095155802595 time: 0.5074454589999995
Warning: The loss function increased!
rre_diff: 0.018437914771379488

step: 2
loss: 2254.284385532889 rmse: 0.007045272065626162 rre: 0.22281776951716023 time: 0.6722290259999983
loss: 2177.567974193788 rmse: 0.006924354241069203 rre: 0.21899355382872693 time: 0.346527523999999
loss: 2144.426427483961 rmse: 0.006871459525677767 rre: 0.21732067556469678 time: 0.6566539040000023
loss: 2226.6559347109055 rmse: 0.007001965630279501 rre: 0.221448135635062 time: 0.5082878939999986
Warning: The loss function increased!
rre_diff: 0.00656137994519751

step: 3
loss: 2122.227003729196 rmse: 0.006835799807494806 rre: 0.21619288109584944 time: 0.6714570010000003
loss: 2078.8652456223676 rmse: 0.0067656041935919625 rre: 0.2139728348046592 time: 0.34690730399999836
loss: 2038.3634300632282 rmse: 0.006699374054029159 rre: 0.21187820285365272 time: 0.6567343440000002
loss: 2139.140924275019 rmse: 0.006862986041104492 rre: 0.21705268833651473 time: 0.5065557299999988
Warning: The loss function increased!
rre_diff: 0.004395447298547267

step: 4
loss: 2069.2490239057006 rmse: 0.006749938204362647 rre: 0.21347737334556427 time: 0.673172362999999
loss: 2032.6156415907906 rmse: 0.006689921920027427 rre: 0.2115792643036826 time: 0.3471226379999983
loss: 1988.1879965849237 rmse: 0.006616405913328879 rre: 0.20925420538703687 time: 0.6563467050000007
loss: 2035.2836579109733 rmse: 0.006694311084224915 rre: 0.21171807849956017 time: 0.5068151930000013
Warning: The loss function increased!
rre_diff: 0.005334609836954551

