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2022-05-17 18:50:47.578477
Namespace(data='hyperspectral', algorithm='ALS-DJSSW19', rank='4,4,4', 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=(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=4096, max_num_steps=5, rre_gap_tol=0.0, verbose=False)
step: 0
loss: 10636.907299201828 rmse: 0.015303864245052822 rre: 0.48400868899205834 time: 0.7095618259999998
loss: 6834.27111765115 rmse: 0.012267032590308103 rre: 0.38796412897985594 time: 0.3520177120000003
loss: 3012.424370558911 rmse: 0.008144257445983285 rre: 0.2575749043591032 time: 0.6907758510000006
loss: 2632.9372460544387 rmse: 0.007614014007784737 rre: 0.24080512469694473 time: 0.5939914589999997
rre_diff: 128.8927365292119

step: 1
loss: 2375.083712792334 rmse: 0.007231574723804664 rre: 0.22870988303155332 time: 0.7160856140000007
loss: 2210.798238732619 rmse: 0.006976987940944983 rre: 0.22065817706804455 time: 0.35710397500000113
loss: 2181.0181589990093 rmse: 0.006929837616671217 rre: 0.21916697417497963 time: 0.6690159999999992
loss: 2172.826874761808 rmse: 0.006916812125036139 rre: 0.21875502259014973 time: 0.5916138289999999
rre_diff: 0.022050102106795005

step: 2
loss: 2118.866522632754 rmse: 0.0068303855240806205 rre: 0.2160216458983091 time: 0.7177780849999991
loss: 2088.0784691040035 rmse: 0.0067805796984938965 rre: 0.2144464586148627 time: 0.3611379409999991
loss: 2072.728204180091 rmse: 0.006755610404379113 rre: 0.21365676555982532 time: 0.6680912499999998
loss: 2085.687089117227 rmse: 0.006776695843541464 rre: 0.21432362561571547 time: 0.5884557249999993
Warning: The loss function increased!
rre_diff: 0.00443139697443426

step: 3
loss: 2045.394147390498 rmse: 0.006710917839336554 rre: 0.21224329315393056 time: 0.7058357050000019
loss: 2014.3445141133548 rmse: 0.006659786280696964 rre: 0.2106261774851694 time: 0.3467563829999989
loss: 2011.1639822268014 rmse: 0.006654526497617859 rre: 0.21045982860283904 time: 0.6600724140000018
loss: 2020.6602894992022 rmse: 0.006670218655964862 rre: 0.21095611770128972 time: 0.5816672029999985
Warning: The loss function increased!
rre_diff: 0.003367507914425749

step: 4
loss: 1978.570461484773 rmse: 0.00660038362139838 rre: 0.20874747529666537 time: 0.7077227760000007
loss: 1948.842632128388 rmse: 0.006550610894223861 rre: 0.2071733348023725 time: 0.3497455060000014
loss: 1945.7883251179298 rmse: 0.006545475686852043 rre: 0.2070109258220041 time: 0.6575077349999994
loss: 1969.9110437079032 rmse: 0.006585924153232629 rre: 0.20829017195690985 time: 0.5813803070000034
Warning: The loss function increased!
rre_diff: 0.002665945744379866

