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2022-05-23 20:41:58.126700
Namespace(data='hyperspectral', algorithm='ALS-RS', rank='5,5,5', 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=(5, 5, 5), 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: 8673.685809039536 rmse: 0.013819593246913961 rre: 0.4370662927178392 time: 0.7508699669999999
loss: 5795.721413311827 rmse: 0.011296584838783189 rre: 0.35727219807732563 time: 0.40876208199999997
loss: 3004.832982602216 rmse: 0.008133989102224575 rre: 0.25725015189650996 time: 0.7257745889999994
loss: 2573.4455252313032 rmse: 0.00752750247788745 rre: 0.238069061994231 time: 0.5402804159999999
rre_diff: 259.1072369602179

step: 1
loss: 2129.7904736220266 rmse: 0.006847970131861658 rre: 0.2165777866757138 time: 0.7465340099999995
loss: 1926.3721048255043 rmse: 0.006512736506374784 rre: 0.20597549793478956 time: 0.4046366180000014
loss: 1881.0349169646931 rmse: 0.006435641536571624 rre: 0.2035372487014711 time: 0.7212777510000006
loss: 1864.4771812737033 rmse: 0.006407254188423069 rre: 0.20263945433128222 time: 0.5382309529999993
rre_diff: 0.03542960766294878

step: 2
loss: 1785.334532794735 rmse: 0.006269793251757686 rre: 0.19829203679818827 time: 0.7452313589999982
loss: 1758.0830070761185 rmse: 0.006221757865507049 rre: 0.1967728424331498 time: 0.417836942000001
loss: 1727.5404973589502 rmse: 0.006167476961637773 rre: 0.19505612378625217 time: 0.7338262220000011
loss: 1749.2829984338582 rmse: 0.00620616696084757 rre: 0.19627975564123878 time: 0.5620612870000024
Warning: The loss function increased!
rre_diff: 0.006359698690043436

step: 3
loss: 1724.6297221762022 rmse: 0.006162278904838437 rre: 0.19489172709424898 time: 0.7602404719999996
loss: 1716.4848057255092 rmse: 0.006147710372784012 rre: 0.19443097443810325 time: 0.4160523579999982
loss: 1699.8826565664992 rmse: 0.006117907253262696 rre: 0.19348840407963655 time: 0.7371059459999998
loss: 1729.8141150606389 rmse: 0.006171534138328664 rre: 0.19518443835698562 time: 0.6138312520000007
Warning: The loss function increased!
rre_diff: 0.001095317284253161

step: 4
loss: 1710.8798435121846 rmse: 0.006137664883439593 rre: 0.19411327009559073 time: 0.7873373790000002
loss: 1706.2849542625222 rmse: 0.006129417416109631 rre: 0.19385243101691357 time: 0.404348186
loss: 1695.986285354742 rmse: 0.006110891676895819 rre: 0.19326652548312762 time: 0.7233759599999985
loss: 1740.438809718046 rmse: 0.006190458220349104 rre: 0.1957829421062627 time: 0.6038981969999995
Warning: The loss function increased!
rre_diff: -0.000598503749277085

