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2022-05-23 20:35:25.655388
Namespace(data='hyperspectral', algorithm='ALS-RS', rank='1,1,1', 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=(1, 1, 1), 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: 22265.42658570579 rmse: 0.02214159626631701 rre: 0.7002626793762806 time: 0.5319234160000001
loss: 14386.673551575152 rmse: 0.017798098745460147 rre: 0.5628927637100607 time: 0.20585842200000037
loss: 3343.23831870397 rmse: 0.008579798439154842 rre: 0.2713495707918252 time: 0.5275422729999999
loss: 3351.7753662780474 rmse: 0.008590745826251408 rre: 0.2716957990640873 time: 0.5014244549999995
Warning: The loss function increased!
rre_diff: 4.018324900014116

step: 1
loss: 3337.1583000046617 rmse: 0.008571993271148156 rre: 0.27110272012236114 time: 0.5427273550000002
loss: 3336.5998159796804 rmse: 0.00857127596600649 rre: 0.2710800342231878 time: 0.21721055199999917
loss: 3336.583546089886 rmse: 0.008571255068402183 rre: 0.27107937330370363 time: 0.5379786679999992
loss: 3340.7861447067567 rmse: 0.008576651338057732 rre: 0.2712500387878982 time: 0.5015370850000007
Warning: The loss function increased!
rre_diff: 0.00044576027618908887

step: 2
loss: 3336.58127133987 rmse: 0.008571252146631209 rre: 0.2710792808981179 time: 0.5357022679999996
loss: 3336.581236310783 rmse: 0.008571252101638577 rre: 0.2710792794751554 time: 0.2058930720000003
loss: 3336.5812345760255 rmse: 0.008571252099410391 rre: 0.27107927940468557 time: 0.5267316189999995
loss: 3359.9492925474046 rmse: 0.008601214511684552 rre: 0.27202688764608407 time: 0.4973597240000025
Warning: The loss function increased!
rre_diff: -0.0007768488581858524

step: 3
loss: 3336.581234153548 rmse: 0.008571252098867745 rre: 0.2710792793875236 time: 0.5331074849999986
loss: 3336.581234141432 rmse: 0.008571252098852185 rre: 0.2710792793870314 time: 0.2065091290000005
loss: 3336.5812341417713 rmse: 0.00857125209885262 rre: 0.2710792793870452 time: 0.5285480009999972
Warning: The loss function increased!
loss: 3348.998324700483 rmse: 0.008587186249712947 rre: 0.27158322187794914 time: 0.4979170169999989
Warning: The loss function increased!
rre_diff: 0.00044366576813492653

step: 4
loss: 3336.5812341419314 rmse: 0.008571252098852825 rre: 0.2710792793870517 time: 0.5332871720000014
loss: 3336.58123414142 rmse: 0.00857125209885217 rre: 0.2710792793870309 time: 0.20663023100000188
loss: 3336.5812341433134 rmse: 0.0085712520988546 rre: 0.27107927938710785 time: 0.5457047760000009
Warning: The loss function increased!
loss: 3345.7520415719596 rmse: 0.008583023333852661 rre: 0.2714515631402828 time: 0.5054857069999983
Warning: The loss function increased!
rre_diff: 0.0001316587376663514

