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2022-05-23 20:36:17.616795
Namespace(data='hyperspectral', algorithm='ALS-RS', rank='1,1,1', seed=0, alpha=1.0, max_num_samples=16384, 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=16384, max_num_steps=5, rre_gap_tol=0.0, verbose=False)
step: 0
loss: 22265.42658570579 rmse: 0.02214159626631701 rre: 0.7002626793762806 time: 0.5600350580000004
loss: 14386.673551575152 rmse: 0.017798098745460147 rre: 0.5628927637100607 time: 0.22423838500000048
loss: 3343.23831870397 rmse: 0.008579798439154842 rre: 0.2713495707918252 time: 0.5419874259999995
loss: 3343.6053565405864 rmse: 0.008580269393351176 rre: 0.27136446545630294 time: 0.5292149579999998
Warning: The loss function increased!
rre_diff: 4.0186562336219005

step: 1
loss: 3337.1583000046608 rmse: 0.008571993271148154 rre: 0.27110272012236114 time: 0.560354856
loss: 3336.5998159796795 rmse: 0.00857127596600649 rre: 0.2710800342231878 time: 0.20813998100000042
loss: 3336.58354608989 rmse: 0.00857125506840219 rre: 0.2710793733037038 time: 0.5365867220000009
loss: 3337.0182942132633 rmse: 0.008571813456290486 rre: 0.27109703319570466 time: 0.5318118559999991
Warning: The loss function increased!
rre_diff: 0.00026743226059827707

step: 2
loss: 3336.5812713398705 rmse: 0.008571252146631209 rre: 0.27107928089811795 time: 0.5791283879999991
loss: 3336.5812363107802 rmse: 0.008571252101638574 rre: 0.2710792794751553 time: 0.2098065739999999
loss: 3336.5812345760246 rmse: 0.008571252099410391 rre: 0.27107927940468557 time: 0.5376489340000017
loss: 3336.5932717076953 rmse: 0.008571267560325292 rre: 0.2710797683803476 time: 0.5377022559999993
Warning: The loss function increased!
rre_diff: 1.726481535707647e-05

step: 3
loss: 3336.5812341535475 rmse: 0.008571252098867745 rre: 0.2710792793875235 time: 0.5710366279999981
loss: 3336.58123414143 rmse: 0.008571252098852181 rre: 0.2710792793870313 time: 0.2147801929999993
loss: 3336.5812341417713 rmse: 0.00857125209885262 rre: 0.2710792793870452 time: 0.5370228019999992
Warning: The loss function increased!
loss: 3336.9440159205947 rmse: 0.008571718056272331 rre: 0.2710940160206319 time: 0.5351492479999997
Warning: The loss function increased!
rre_diff: -1.4247640284292817e-05

step: 4
loss: 3336.5812341419314 rmse: 0.008571252098852825 rre: 0.2710792793870517 time: 0.5624250879999977
loss: 3336.5812341414216 rmse: 0.008571252098852171 rre: 0.27107927938703097 time: 0.21605167500000277
loss: 3336.581234143312 rmse: 0.0085712520988546 rre: 0.27107927938710774 time: 0.5270952629999996
Warning: The loss function increased!
loss: 3336.5814100218554 rmse: 0.00857125232475938 rre: 0.2710792865317005 time: 0.5291524830000007
Warning: The loss function increased!
rre_diff: 1.472948893138648e-05

