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2022-05-23 20:43:10.600025
Namespace(data='hyperspectral', algorithm='ALS-RS', rank='8,8,4', 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=(8, 8, 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: 8825.78408558177 rmse: 0.01394023409101707 rre: 0.4408817484653715 time: 0.7045546309999997
loss: 6266.746864703107 rmse: 0.011746662570854667 rre: 0.3715066116578601 time: 0.37795866
loss: 2469.7218137590057 rmse: 0.007374242857331761 rre: 0.23322198632544627 time: 0.8833506560000002
loss: 2600.60570042918 rmse: 0.00756712089503612 rre: 0.23932205652143135 time: 0.5363944640000007
Warning: The loss function increased!
rre_diff: 569.2490057905649

step: 1
loss: 1896.6965144921005 rmse: 0.0064623777483156205 rre: 0.20438282329541782 time: 0.7038933650000008
loss: 1749.29282711504 rmse: 0.006206184396091264 rre: 0.1962803070581429 time: 0.379556655
loss: 1640.3132660710387 rmse: 0.00600975567200757 rre: 0.19006794084123363 time: 0.8755328179999999
loss: 1873.8115744267727 rmse: 0.006423272931088719 rre: 0.20314607217059094 time: 0.5521046250000001
Warning: The loss function increased!
rre_diff: 0.03617598435084041

step: 2
loss: 1660.2623029592753 rmse: 0.006046189725850119 rre: 0.19122022488875445 time: 0.7045268749999991
loss: 1586.283868803662 rmse: 0.005909950880041587 rre: 0.1869114578941116 time: 0.3771118069999986
loss: 1475.8492699785775 rmse: 0.005700519292140749 rre: 0.180287855732574 time: 0.8770286399999989
loss: 1738.5206896309294 rmse: 0.006187046059127401 rre: 0.19567502716052737 time: 0.5533306480000029
Warning: The loss function increased!
rre_diff: 0.007471045010063571

step: 3
loss: 1562.1909877077821 rmse: 0.005864898242514765 rre: 0.18548659763164285 time: 0.7049952259999976
loss: 1527.6248115159726 rmse: 0.005799649783620199 rre: 0.18342301287013268 time: 0.37837038599999673
loss: 1451.0932039530906 rmse: 0.005652506513338107 rre: 0.17876937636350584 time: 0.8752180280000026
loss: 1652.1206647361219 rmse: 0.006031346774071213 rre: 0.19075079327878686 time: 0.5532802389999993
Warning: The loss function increased!
rre_diff: 0.004924233881740514

step: 4
loss: 1514.6479445783077 rmse: 0.005774963814316595 rre: 0.18264228040623895 time: 0.7294876680000009
loss: 1481.8581181493093 rmse: 0.005712112196983581 rre: 0.18065449951513385 time: 0.39300528100000065
loss: 1419.5674697693266 rmse: 0.005590767562271679 rre: 0.17681678528670858 time: 0.8835673100000037
loss: 1627.430067244287 rmse: 0.005986108511236525 rre: 0.18932006232506882 time: 0.5583379420000014
Warning: The loss function increased!
rre_diff: 0.0014307309537180402

