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2022-05-17 19:37:56.602788
Namespace(data='hyperspectral', algorithm='ALS-DJSSW19', rank='8,8,8', 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=(8, 8, 8), 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: 7931.8450921861995 rmse: 0.013215406590008593 rre: 0.4179579428898018 time: 0.935569665
loss: 5580.877036266325 rmse: 0.01108522836256101 rre: 0.3505877183061889 time: 0.5861911180000003
loss: 2551.243696330762 rmse: 0.007494961213517175 rre: 0.23703989351404844 time: 0.849700198999999
loss: 2230.1989029111796 rmse: 0.0070075340435996935 rre: 0.22162424543241227 time: 7.057502683999999
rre_diff: 1094.0184108086423

step: 1
loss: 1804.5280605565672 rmse: 0.006303405368537554 rre: 0.199355072663926 time: 0.9233966599999981
loss: 1664.4779473494762 rmse: 0.006053860931318226 rre: 0.19146283878300716 time: 0.5780717320000015
loss: 1485.5844889912537 rmse: 0.005719289700501936 rre: 0.1808814993115596 time: 0.8377694280000014
loss: 1572.6332642438151 rmse: 0.005884467196548406 rre: 0.18610549646889765 time: 6.990169881
Warning: The loss function increased!
rre_diff: 0.03551874896351462

step: 2
loss: 1469.4565060345494 rmse: 0.005688159756649854 rre: 0.17989696605440442 time: 0.9249264359999998
loss: 1440.506220161579 rmse: 0.005631848795998349 rre: 0.17811604368052564 time: 0.5787832190000017
loss: 1353.7207850919253 rmse: 0.005459564057310108 rre: 0.1726672688370876 time: 0.8850758270000014
loss: 1493.1695724086214 rmse: 0.005733871858822832 rre: 0.1813426829197358 time: 7.077260166000002
Warning: The loss function increased!
rre_diff: 0.0047628135491618595

step: 3
loss: 1441.8640034878695 rmse: 0.005634502387217793 rre: 0.1781999676612065 time: 0.9315782289999959
loss: 1424.694242190642 rmse: 0.005600854001072979 rre: 0.17713578471996572 time: 0.5812981569999991
loss: 1347.3650167364121 rmse: 0.005446732552518243 rre: 0.1722614523901655 time: 0.8426023290000018
loss: 1496.2188580544928 rmse: 0.005739723604065367 rre: 0.1815277535331314 time: 7.073932055
Warning: The loss function increased!
rre_diff: -0.00018507061339559372

step: 4
loss: 1432.0393844389587 rmse: 0.00561527329902313 rre: 0.17759181761370327 time: 0.9225674469999987
loss: 1416.3437164056381 rmse: 0.005584415803658815 rre: 0.17661590096691987 time: 0.5882585880000022
loss: 1339.1158439568376 rmse: 0.005430033283694793 rre: 0.17173331184468354 time: 0.8429784269999914
loss: 1469.9120758762906 rmse: 0.005689041427258608 rre: 0.17992485026904678 time: 7.086640240000008
Warning: The loss function increased!
rre_diff: 0.0016029032640846042

