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2022-05-23 20:56:17.322863
Namespace(data='hyperspectral', algorithm='ALS-RS', rank='32,32,4', seed=0, alpha=1.0, max_num_samples=1024, max_num_steps=5, rre_gap_tol=0.0, verbose=False)
Loading hyperspectral tensor...
Finished.
AlgorithmConfig(input_shape=(1024, 1344, 33), rank=(32, 32, 4), l2_regularization_strength=0.0, algorithm='ALS-RS', random_seed=0, epsilon=0.1, delta=0.01, downsampling_ratio=1.0, max_num_samples=1024, max_num_steps=5, rre_gap_tol=0.0, verbose=False)
step: 0
loss: 7355.33441657231 rmse: 0.01272607941124346 rre: 0.40248220405090984 time: 0.87034711
loss: 5048.024896505802 rmse: 0.010542756147388836 rre: 0.3334311844088775 time: 0.5430837130000006
loss: 1366.5465543770451 rmse: 0.0054853662881382895 rre: 0.17348330482095722 time: 2.0706048
loss: 6.333439658345048e+164 rmse: 3.734334663696429e+78 rre: 1.18104185707057e+80 time: 1.3611758730000005
Warning: The loss function increased!
rre_diff: -1.18104185707057e+80

step: 1
loss: 38008.75456054227 rmse: 0.028929120934597305 rre: 0.9149287835438992 time: 0.8688443879999994
loss: 2340.871400913295 rmse: 0.0071793015502123496 rre: 0.22705666200092053 time: 0.5449683999999984
loss: 1882.5082664739982 rmse: 0.006438161450800923 rre: 0.20361694493785729 time: 2.0687074780000003
loss: 45405.56225718068 rmse: 0.0316189865866311 rre: 0.9999999999999984 time: 1.3630233840000017
Warning: The loss function increased!
rre_diff: 1.18104185707057e+80

step: 2
loss: 1061.0763193003627 rmse: 0.004833555709978852 rre: 0.15286877385319275 time: 0.8695058360000019
loss: 821.8286515758667 rmse: 0.00425386846094166 rre: 0.13453525619129872 time: 0.5349322739999991
loss: 816.69428659941 rmse: 0.004240559644749408 rre: 0.1341143440233585 time: 2.053138509
loss: 1.9522480298056775e+164 rmse: 2.0732941103904685e+78 rre: 6.557117524022985e+79 time: 1.3611496840000008
Warning: The loss function increased!
rre_diff: -6.557117524022985e+79

step: 3
loss: 64215.1140427038 rmse: 0.037602095360124016 rre: 1.1892251909181233 time: 0.8739834779999995
loss: 3115.3388549292067 rmse: 0.008282206665612255 rre: 0.26193776460609464 time: 0.6049565600000051
loss: 2472648.535013725 rmse: 0.23333216580250288 rre: 7.3794953915809 time: 2.0602980540000004
Warning: The loss function increased!
loss: 4361.092266205683 rmse: 0.009799209775553312 rre: 0.3099153652096024 time: 1.3620997519999989
rre_diff: 6.557117524022985e+79

step: 4
loss: 1618.545167890308 rmse: 0.005969745669199864 rre: 0.18880256180392374 time: 0.867437234999997
loss: 5009.235063084767 rmse: 0.010502171918027237 rre: 0.33214764455694695 time: 0.5385914559999989
Warning: The loss function increased!
loss: 4089.461597574689 rmse: 0.009489131923964327 rre: 0.3001086672390833 time: 2.0727969
loss: 1.630139545029245e+161 rmse: 5.991089518776425e+76 rre: 1.894775944941108e+78 time: 1.3660689419999983
Warning: The loss function increased!
rre_diff: -1.894775944941108e+78

