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2022-05-17 18:55:04.519883
Namespace(data='hyperspectral', algorithm='ALS-DJSSW19', 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-DJSSW19', 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: 0.7499217900000001
loss: 5795.721413311827 rmse: 0.011296584838783189 rre: 0.35727219807732563 time: 0.40663843299999947
loss: 3004.832982602216 rmse: 0.008133989102224575 rre: 0.25725015189650996 time: 0.7137488650000003
loss: 2576.471240863836 rmse: 0.007531926389509989 rre: 0.2382089751318775 time: 0.7130387570000014
rre_diff: 259.10709704708023

step: 1
loss: 2155.244594303153 rmse: 0.006888770233385413 rre: 0.21786815382305955 time: 0.7462859420000001
loss: 1955.0509740745467 rmse: 0.006561036593635824 rre: 0.20750306388408732 time: 0.40726207999999886
loss: 1878.7143661779478 rmse: 0.00643167062628508 rre: 0.2034116624409607 time: 0.7043388769999996
loss: 1860.9910493291584 rmse: 0.006401261359840741 rre: 0.20244992173617807 time: 0.7062400379999989
rre_diff: 0.03575905339569943

step: 2
loss: 1782.631416990379 rmse: 0.006265045010777905 rre: 0.19814186623637184 time: 0.7436101179999994
loss: 1751.6273137766657 rmse: 0.006210324190164569 rre: 0.1964112345330625 time: 0.40192616099999867
loss: 1730.2796139311276 rmse: 0.006172364472900067 rre: 0.1952106989889995 time: 0.7063326600000011
loss: 1764.214814227164 rmse: 0.006232598483344538 rre: 0.1971156939602785 time: 0.7045245270000002
Warning: The loss function increased!
rre_diff: 0.005334227775899564

step: 3
loss: 1738.1990023766098 rmse: 0.006186473622472482 rre: 0.19565692295426668 time: 0.7558456260000028
loss: 1730.145934043199 rmse: 0.006172126032557248 rre: 0.1952031579395049 time: 0.4117049200000018
loss: 1712.39153348863 rmse: 0.00614037582714422 rre: 0.1941990079384909 time: 0.709207291000002
loss: 1726.6967765395787 rmse: 0.006165970697606843 rre: 0.19500848582585129 time: 0.7131831500000025
Warning: The loss function increased!
rre_diff: 0.0021072081344272187

step: 4
loss: 1711.4255612312666 rmse: 0.006138643667965182 rre: 0.19414422569003736 time: 0.7480676939999995
loss: 1707.7043751159124 rmse: 0.006131966349759049 rre: 0.19393304503793649 time: 0.4073032789999971
loss: 1692.0457988974028 rmse: 0.006103788468193448 rre: 0.19304187537668255 time: 0.7102210469999974
loss: 1719.8727819545772 rmse: 0.0061537745188252144 rre: 0.19462276255960387 time: 0.709862292000004
Warning: The loss function increased!
rre_diff: 0.0003857232662474175

