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2022-05-17 18:36:46.232187
Namespace(data='hyperspectral', algorithm='ALS', rank='1,1,1', seed=0, alpha=1.0, max_num_samples=1028, 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', random_seed=0, epsilon=0.1, delta=0.01, downsampling_ratio=1.0, max_num_samples=1028, max_num_steps=5, rre_gap_tol=0.0, verbose=False)
step: 0
loss: 22265.42658570579 rmse: 0.02214159626631701 rre: 0.7002626793762806 time: 0.594469852
loss: 14386.673551575152 rmse: 0.017798098745460147 rre: 0.5628927637100607 time: 0.2247392709999998
loss: 3343.23831870397 rmse: 0.008579798439154842 rre: 0.2713495707918252 time: 0.5318012230000004
loss: 3343.23831870397 rmse: 0.008579798439154842 rre: 0.2713495707918252 time: 0.5684259120000004
rre_diff: 4.018671128286378

step: 1
loss: 3337.1583000046617 rmse: 0.008571993271148156 rre: 0.27110272012236114 time: 0.5756865639999997
loss: 3336.5998159796786 rmse: 0.008571275966006488 rre: 0.27108003422318777 time: 0.2178968389999998
loss: 3336.5835460898843 rmse: 0.008571255068402181 rre: 0.2710793733037036 time: 0.5405663230000002
loss: 3336.583546089885 rmse: 0.008571255068402183 rre: 0.2710793733037036 time: 0.5588675950000006
Warning: The loss function increased!
rre_diff: 0.00027019748812162625

step: 2
loss: 3336.58127133987 rmse: 0.008571252146631209 rre: 0.2710792808981179 time: 0.580698589999999
loss: 3336.581236310783 rmse: 0.008571252101638577 rre: 0.2710792794751554 time: 0.21547935799999962
loss: 3336.5812345760246 rmse: 0.008571252099410391 rre: 0.27107927940468557 time: 0.5328262089999996
loss: 3336.581234576023 rmse: 0.00857125209941039 rre: 0.27107927940468546 time: 0.5660322929999992
rre_diff: 9.389901811651669e-08

step: 3
loss: 3336.5812341535516 rmse: 0.00857125209886775 rre: 0.2710792793875237 time: 0.5741543350000029
loss: 3336.58123414143 rmse: 0.008571252098852181 rre: 0.2710792793870313 time: 0.222704880000002
loss: 3336.5812341417695 rmse: 0.008571252098852617 rre: 0.2710792793870451 time: 0.5441268550000018
Warning: The loss function increased!
loss: 3336.5812341417704 rmse: 0.008571252098852618 rre: 0.2710792793870451 time: 0.5670493830000005
Warning: The loss function increased!
rre_diff: 1.7640333638269112e-11

step: 4
loss: 3336.5812341419337 rmse: 0.008571252098852828 rre: 0.2710792793870518 time: 0.5722256950000002
Warning: The loss function increased!
loss: 3336.581234141418 rmse: 0.008571252098852166 rre: 0.27107927938703086 time: 0.2159991870000013
loss: 3336.581234143317 rmse: 0.008571252098854605 rre: 0.27107927938710796 time: 0.5345302949999997
Warning: The loss function increased!
loss: 3336.581234143316 rmse: 0.008571252098854605 rre: 0.2710792793871079 time: 0.5712649769999985
rre_diff: -6.27831120425526e-14

