###################################
2022-05-17 18:45:47.526252
Namespace(data='hyperspectral', algorithm='ALS-DJSSW19', rank='3,3,3', seed=0, alpha=1.0, max_num_samples=1028, 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-DJSSW19', random_seed=0, epsilon=0.1, delta=0.01, downsampling_ratio=1.0, max_num_samples=1028, max_num_steps=5, rre_gap_tol=0.0, verbose=False)
step: 0
loss: 12908.093745699043 rmse: 0.01685871515188184 rre: 0.5331832854823338 time: 0.6240956690000004
loss: 8777.395166130093 rmse: 0.013901966669667282 rre: 0.4396714812974171 time: 0.30146255299999947
loss: 3219.9857575128826 rmse: 0.008420160944376965 rre: 0.26630078485618197 time: 0.6176102790000009
loss: 2992.8593193322813 rmse: 0.008117766759003157 rre: 0.2567370948705686 time: 0.4970760649999999
rre_diff: 62.45172357822529

step: 1
loss: 2700.316716498813 rmse: 0.007710823634612274 rre: 0.24386688085292693 time: 0.6453784970000012
loss: 2496.7873629656747 rmse: 0.007414539721810402 rre: 0.23449643781263213 time: 0.2988130449999993
loss: 2476.0464824071537 rmse: 0.007383679106558139 rre: 0.23352042249450328 time: 0.6148603040000005
loss: 2492.169396009235 rmse: 0.0074076797170480446 rre: 0.23427947941190788 time: 0.49617146599999984
Warning: The loss function increased!
rre_diff: 0.022457615458660735

step: 2
loss: 2345.637898453691 rmse: 0.00718660710340739 rre: 0.22728771156903443 time: 0.6217262339999987
loss: 2298.3088478195764 rmse: 0.0071137338370514175 rre: 0.22498298032294245 time: 0.29776744900000196
loss: 2277.7828801585097 rmse: 0.007081896569183458 rre: 0.22397607683535817 time: 0.6202096380000022
loss: 2288.321856676804 rmse: 0.007098261124598516 rre: 0.22449363154478005 time: 0.4959193310000032
Warning: The loss function increased!
rre_diff: 0.009785847867127828

step: 3
loss: 2262.0512042098812 rmse: 0.007057398374995911 rre: 0.22320128305376669 time: 0.6213351649999979
loss: 2249.2313297944897 rmse: 0.007037371526368706 rre: 0.22256790258243703 time: 0.29860916900000234
loss: 2236.0446327427617 rmse: 0.007016712001309273 rre: 0.22191451272748933 time: 0.6144711489999999
loss: 2278.3037709337486 rmse: 0.007082706278430382 rre: 0.22400168515916405 time: 0.49428703200000257
Warning: The loss function increased!
rre_diff: 0.0004919463856160045

step: 4
loss: 2247.157103735946 rmse: 0.007034125869485909 rre: 0.2224652535973437 time: 0.6216620460000009
loss: 2240.287290666507 rmse: 0.007023365580713146 rre: 0.22212494260276835 time: 0.29818993900000024
loss: 2217.8268950491997 rmse: 0.00698806989649845 rre: 0.22100866127863444 time: 0.6167391300000027
loss: 2278.620410969274 rmse: 0.00708319844073108 rre: 0.22401725056317687 time: 0.4959050340000033
Warning: The loss function increased!
rre_diff: -1.5565404012818362e-05

