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2022-05-23 20:39:11.630721
Namespace(data='hyperspectral', algorithm='ALS-RS', rank='3,3,3', 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=(3, 3, 3), 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: 12908.093745699043 rmse: 0.01685871515188184 rre: 0.5331832854823338 time: 0.6591455499999999
loss: 8777.395166130093 rmse: 0.013901966669667282 rre: 0.4396714812974171 time: 0.30178673199999917
loss: 3219.9857575128826 rmse: 0.008420160944376965 rre: 0.26630078485618197 time: 0.6256364809999999
loss: 2914.4995044267052 rmse: 0.008010791167158266 rre: 0.2533538241401233 time: 0.5336708999999997
rre_diff: 62.45510684895574

step: 1
loss: 2671.455093195466 rmse: 0.007669505380445306 rre: 0.24256012631625756 time: 0.6707610040000009
loss: 2490.5581747908964 rmse: 0.0074052847473315316 rre: 0.23420373474153552 time: 0.3022001139999997
loss: 2480.674509694514 rmse: 0.007390576375189046 rre: 0.23373855942346555 time: 0.6269055509999983
loss: 2464.9847455244544 rmse: 0.007367167352305774 rre: 0.23299821239118054 time: 0.5341734519999992
rre_diff: 0.020355611748942765

step: 2
loss: 2347.2657538515978 rmse: 0.007189100397057878 rre: 0.22736656588789939 time: 0.646047458
loss: 2293.8400073076996 rmse: 0.007106814486274818 rre: 0.22476414501151837 time: 0.30328571500000123
loss: 2286.9319698489367 rmse: 0.007096105117098994 rre: 0.22442544442899073 time: 0.6246839470000012
loss: 2286.124791415999 rmse: 0.0070948527124394915 rre: 0.22438583516902694 time: 0.5344386480000018
rre_diff: 0.008612377222153605

step: 3
loss: 2258.3686324113924 rmse: 0.00705165138696656 rre: 0.2230195255514 time: 0.6458522700000024
loss: 2246.796298360885 rmse: 0.007033561144327091 rre: 0.22244739327923166 time: 0.30403234499999954
loss: 2244.8647580759034 rmse: 0.007030537165739616 rre: 0.22235175521761358 time: 0.6249907379999975
loss: 2247.033741730396 rmse: 0.007033932790910639 rre: 0.22245914718483298 time: 0.5334674859999993
Warning: The loss function increased!
rre_diff: 0.0019266879841939588

step: 4
loss: 2238.1767191482895 rmse: 0.007020056449710142 rre: 0.22202028614915498 time: 0.6473832620000017
loss: 2234.171577948261 rmse: 0.007013772560989898 rre: 0.22182154832107734 time: 0.30188850500000086
loss: 2232.68738871316 rmse: 0.007011442503789859 rre: 0.221747856610761 time: 0.6259306870000003
loss: 2234.2360406373946 rmse: 0.007013873744664298 rre: 0.2218247484133422 time: 0.5344872519999981
Warning: The loss function increased!
rre_diff: 0.0006343987714907684

