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2022-05-23 20:40:48.811375
Namespace(data='hyperspectral', algorithm='ALS-RS', rank='4,4,4', 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=(4, 4, 4), 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: 10636.907299201828 rmse: 0.015303864245052822 rre: 0.48400868899205834 time: 0.7226994079999995
loss: 6834.27111765115 rmse: 0.012267032590308103 rre: 0.38796412897985594 time: 0.36154661600000004
loss: 3012.424370558911 rmse: 0.008144257445983285 rre: 0.2575749043591032 time: 0.68245529
loss: 2604.6177508512965 rmse: 0.007572955683899618 rre: 0.23950659086276802 time: 0.5862335259999991
rre_diff: 128.8940350630461

step: 1
loss: 2359.1201395165817 rmse: 0.007207231075244889 rre: 0.22793997699762408 time: 0.722740301
loss: 2190.171237212078 rmse: 0.006944363615972478 rre: 0.21962638166615464 time: 0.36127618599999956
loss: 2167.683626234159 rmse: 0.006908620961426461 rre: 0.21849596420485848 time: 0.672650956
loss: 2149.6720893606284 rmse: 0.006879858819851832 rre: 0.2175863164052421 time: 0.5778147929999999
rre_diff: 0.021920274457525923

step: 2
loss: 2101.586532718614 rmse: 0.006802476588239114 rre: 0.2151389820670367 time: 0.7123411829999995
loss: 2080.514207316938 rmse: 0.006768286909744368 rre: 0.21405767990698576 time: 0.3518215789999992
loss: 2076.3098496832486 rmse: 0.006761444685478655 rre: 0.21384128384233123 time: 0.6739754490000003
loss: 2079.5442528795343 rmse: 0.006766709007696307 rre: 0.21400777628203127 time: 0.5759662179999978
Warning: The loss function increased!
rre_diff: 0.0035785401232108216

step: 3
loss: 2061.1604401136788 rmse: 0.006736732713075621 rre: 0.21305972898966927 time: 0.7183169320000005
loss: 2048.299249589197 rmse: 0.006715681954001363 rre: 0.2123939657459112 time: 0.35556148599999915
loss: 2046.659784959927 rmse: 0.006712993790383933 rre: 0.21230894835896666 time: 0.6799161279999986
loss: 2049.293165932576 rmse: 0.006717311114517317 rre: 0.21244549050023848 time: 0.5824486710000016
Warning: The loss function increased!
rre_diff: 0.0015622857817927938

step: 4
loss: 2032.7945061367882 rmse: 0.006690216260851022 rre: 0.21158857329348174 time: 0.7159917779999994
loss: 2015.8845168208748 rmse: 0.006662331557669116 rre: 0.21070667585804354 time: 0.3828662939999994
loss: 2014.6669489440412 rmse: 0.006660319273221962 rre: 0.21064303420900962 time: 0.6735702589999981
loss: 2017.994904064047 rmse: 0.006665817973069113 rre: 0.210816939208529 time: 0.5791984369999952
Warning: The loss function increased!
rre_diff: 0.001628551291709468

