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2022-05-23 20:57:05.353550
Namespace(data='hyperspectral', algorithm='ALS-RS', rank='32,32,4', 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=(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=4096, max_num_steps=5, rre_gap_tol=0.0, verbose=False)
step: 0
loss: 7355.33441657231 rmse: 0.01272607941124346 rre: 0.40248220405090984 time: 0.8864678589999997
loss: 5048.024896505802 rmse: 0.010542756147388836 rre: 0.3334311844088775 time: 0.5365681929999999
loss: 1366.5465543770451 rmse: 0.0054853662881382895 rre: 0.17348330482095722 time: 2.060988795000001
loss: 4.419351919014076e+54 rmse: 3.1194117994863946e+23 rre: 9.865628649861015e+24 time: 3.842315913
Warning: The loss function increased!
rre_diff: -9.865628649861015e+24

step: 1
loss: 34792.044905843664 rmse: 0.027677916511915104 rre: 0.8753574829503746 time: 0.8906297550000009
loss: 1804.307534271349 rmse: 0.006303020196072754 rre: 0.19934289098113406 time: 0.5444685420000006
loss: 1545.4496959200844 rmse: 0.0058333878682360315 rre: 0.18449003266608333 time: 2.0695644910000013
loss: 45405.56225718068 rmse: 0.0316189865866311 rre: 0.9999999999999984 time: 3.8671339349999982
Warning: The loss function increased!
rre_diff: 9.865628649861015e+24

step: 2
loss: 1029.9094746267056 rmse: 0.004762038958879499 rre: 0.15060694452784706 time: 0.889225102000001
loss: 805.8537831338521 rmse: 0.004212321802390378 rre: 0.13322127800804953 time: 0.5492716370000004
loss: 798.9898205266109 rmse: 0.0041943439436466145 rre: 0.13265270005269644 time: 2.1161482900000017
loss: 1.682043654462382e+62 rmse: 1.9244740034863988e+27 rre: 6.086450614771085e+28 time: 3.7598010469999963
Warning: The loss function increased!
rre_diff: -6.086450614771085e+28

step: 3
loss: 32322.34309451279 rmse: 0.026677481986577944 rre: 0.8437171733346277 time: 0.8875053000000008
loss: 2184.765522565611 rmse: 0.006935788386919391 rre: 0.21935517660935777 time: 0.5436871790000026
loss: 6335.442729371201 rmse: 0.011810870346141667 rre: 0.37353728316945584 time: 2.0617988139999994
Warning: The loss function increased!
loss: 45403.66375960645 rmse: 0.03161832555311624 rre: 0.9999790937792045 time: 3.7650276359999992
Warning: The loss function increased!
rre_diff: 6.086450614771085e+28

step: 4
loss: 2565.7940019516864 rmse: 0.007516303535407274 rre: 0.23771487788875717 time: 0.8840405679999961
loss: 6894.390501070481 rmse: 0.0123208694696528 rre: 0.38966680465534576 time: 0.5427236270000009
Warning: The loss function increased!
loss: 14505.550017411004 rmse: 0.017871479933777232 rre: 0.5652135587841226 time: 2.070445794000001
Warning: The loss function increased!
loss: 1.477948990421956e+159 rmse: 5.704572972571999e+75 rre: 1.804160597286174e+77 time: 3.731425504999997
Warning: The loss function increased!
rre_diff: -1.804160597286174e+77

