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2022-05-23 20:36:44.032914
Namespace(data='hyperspectral', algorithm='ALS-RS', rank='2,2,2', seed=0, alpha=1.0, max_num_samples=1024, max_num_steps=5, rre_gap_tol=0.0, verbose=False)
Loading hyperspectral tensor...
Finished.
AlgorithmConfig(input_shape=(1024, 1344, 33), rank=(2, 2, 2), l2_regularization_strength=0.0, algorithm='ALS-RS', random_seed=0, epsilon=0.1, delta=0.01, downsampling_ratio=1.0, max_num_samples=1024, max_num_steps=5, rre_gap_tol=0.0, verbose=False)
step: 0
loss: 18602.5457345309 rmse: 0.020238559962685754 rre: 0.640076174080887 time: 0.617533866
loss: 13679.660058224637 rmse: 0.017355257832225506 rre: 0.5488872258658504 time: 0.2577998020000001
loss: 3329.4081239533534 rmse: 0.008562033738593029 rre: 0.2707877342980103 time: 0.581696956
loss: 3234.0311043880956 rmse: 0.008438505031237756 rre: 0.26688094534964146 time: 0.5136309749999999
rre_diff: 18.058483537013856

step: 1
loss: 3065.5121013838416 rmse: 0.008215706855732629 rre: 0.2598346039087261 time: 0.6009578310000006
loss: 2862.1515115755737 rmse: 0.007938523365082535 rre: 0.25106824165069946 time: 0.2598894559999998
loss: 2721.657423316452 rmse: 0.007741233138786867 rre: 0.24482862907630137 time: 0.582869818999999
loss: 2710.638278851192 rmse: 0.007725546322204019 rre: 0.24433250891951305 time: 0.5217473360000007
rre_diff: 0.02254843643012841

step: 2
loss: 2611.228310439446 rmse: 0.007582559732485818 rre: 0.23981033394953288 time: 0.601415489999999
loss: 2586.0814299464823 rmse: 0.007545960286759609 rre: 0.23865281912451053 time: 0.2652514540000013
loss: 2557.4598083943974 rmse: 0.0075040864049936195 rre: 0.23732849199431422 time: 0.5874576990000016
loss: 2572.3235152383627 rmse: 0.007525861321368565 rre: 0.23801715784751243 time: 0.5131449789999998
Warning: The loss function increased!
rre_diff: 0.0063153510720006245

step: 3
loss: 2547.5024215439 rmse: 0.00748946369928801 rre: 0.23686602601155587 time: 0.5945976850000001
loss: 2543.704476648025 rmse: 0.007483878782125908 rre: 0.2366893942543425 time: 0.25573014599999766
loss: 2521.34606880848 rmse: 0.007450915650899167 rre: 0.2356468835737289 time: 0.5946249520000002
loss: 2529.5278342467345 rmse: 0.007462994966362755 rre: 0.2360289108544102 time: 0.5148297060000004
Warning: The loss function increased!
rre_diff: 0.0019882469931022384

step: 4
loss: 2517.1461595545575 rmse: 0.007444707417046881 rre: 0.23545053844940697 time: 0.5917869650000007
loss: 2516.2657350261875 rmse: 0.007443405332097321 rre: 0.23540935797241752 time: 0.2569129540000006
loss: 2515.0286929618205 rmse: 0.007441575450354459 rre: 0.23535148509474488 time: 0.5779001510000015
loss: 2525.478396528277 rmse: 0.007457018942395956 rre: 0.23583990973160615 time: 0.508051296999998
Warning: The loss function increased!
rre_diff: 0.0001890011228040389

