###################################
2022-05-23 20:46:26.513817
Namespace(data='hyperspectral', algorithm='ALS-RS', rank='8,8,8', 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=(8, 8, 8), 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: 7931.8450921861995 rmse: 0.013215406590008593 rre: 0.4179579428898018 time: 0.9249526649999993
loss: 5580.877036266325 rmse: 0.01108522836256101 rre: 0.3505877183061889 time: 0.5849179540000007
loss: 2551.243696330762 rmse: 0.007494961213517175 rre: 0.23703989351404844 time: 0.876542766
loss: 1973.164823786057 rmse: 0.00659136102494607 rre: 0.20846212154481158 time: 2.1105221830000005
rre_diff: 1094.03157293253

step: 1
loss: 1624.5705829618812 rmse: 0.005980847237920801 rre: 0.1891536663116701 time: 0.9255982770000006
loss: 1464.585364598049 rmse: 0.005678724012524956 rre: 0.1795985458599733 time: 0.5958803049999979
loss: 1404.4512746041853 rmse: 0.005560921387489849 rre: 0.17587285323815743 time: 0.8735801379999977
loss: 1392.056407584459 rmse: 0.005536328283316784 rre: 0.17509505777954323 time: 2.1714415779999996
rre_diff: 0.03336706376526835

step: 2
loss: 1351.9388829071215 rmse: 0.005455969662988529 rre: 0.17255359048399646 time: 0.9503106850000016
loss: 1336.900587113069 rmse: 0.005425540058806353 rre: 0.17159120656638407 time: 0.6511809050000004
loss: 1321.096407234232 rmse: 0.005393375688008091 rre: 0.17057395793603544 time: 0.8721809960000009
loss: 1353.9764511547514 rmse: 0.005460079584353934 rre: 0.17268357318771607 time: 2.1106474580000025
Warning: The loss function increased!
rre_diff: 0.002411484591827162

step: 3
loss: 1336.230507706671 rmse: 0.005424180197661246 rre: 0.17154819882667105 time: 0.9387889549999997
loss: 1330.1361680285108 rmse: 0.005411796640207633 rre: 0.17115654941628647 time: 0.6224294149999992
loss: 1312.0499985644658 rmse: 0.005374877986809191 rre: 0.1699889391484086 time: 0.870464143999996
loss: 1331.187805767434 rmse: 0.005413935566000969 rre: 0.17122419629634936 time: 2.107619851999999
Warning: The loss function increased!
rre_diff: 0.0014593768913667149

step: 4
loss: 1320.1016522684583 rmse: 0.005391344762200733 rre: 0.17050972672477277 time: 0.9471781869999987
loss: 1316.5222858546479 rmse: 0.0053840306674370324 rre: 0.17027840701616473 time: 0.6260618129999997
loss: 1306.1670889024974 rmse: 0.0053628146335267255 rre: 0.16960741669671922 time: 0.8663386010000025
loss: 1323.462117768201 rmse: 0.005398202534369195 rre: 0.17072661451621646 time: 2.1018643019999956
Warning: The loss function increased!
rre_diff: 0.0004975817801328997

