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2022-05-23 20:44:20.871878
Namespace(data='hyperspectral', algorithm='ALS-RS', rank='8,8,4', 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=(8, 8, 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: 8825.78408558177 rmse: 0.01394023409101707 rre: 0.4408817484653715 time: 0.7451216699999996
loss: 6266.746864703107 rmse: 0.011746662570854667 rre: 0.3715066116578601 time: 0.3822085770000001
loss: 2469.7218137590057 rmse: 0.007374242857331761 rre: 0.23322198632544627 time: 0.8741089219999996
loss: 1990.1960640237949 rmse: 0.006619746351012361 rre: 0.2093598519634801 time: 0.7293791639999991
rre_diff: 569.2789679951229

step: 1
loss: 1506.4083213699378 rmse: 0.005759234609463118 rre: 0.18214481965396653 time: 0.74046317
loss: 1405.1714918366304 rmse: 0.005562347053924488 rre: 0.17591794217327344 time: 0.3834848340000008
loss: 1388.9331583441704 rmse: 0.005530114080101808 rre: 0.1748985238647718 time: 0.8742498110000003
loss: 1383.7807511958028 rmse: 0.005519847252948181 rre: 0.174573819367191 time: 0.7359050429999989
rre_diff: 0.034786032596289096

step: 2
loss: 1351.2770071906004 rmse: 0.005454633945831059 rre: 0.17251134633572782 time: 0.7460415630000021
loss: 1338.8583891284688 rmse: 0.005429511276770139 rre: 0.17171680255766938 time: 0.4199942089999986
loss: 1333.7190095681203 rmse: 0.005419080319470197 rre: 0.17138690718700778 time: 0.874306421
loss: 1342.9778343986343 rmse: 0.00543785771452134 rre: 0.1719807717310119 time: 0.7459796849999982
Warning: The loss function increased!
rre_diff: 0.0025930476361790966

step: 3
loss: 1328.6347116698228 rmse: 0.005408741362483647 rre: 0.1710599214704282 time: 0.7414339229999989
loss: 1324.3412533748237 rmse: 0.005399995167548116 rre: 0.17078330934968333 time: 0.3808415480000029
loss: 1322.1429101404983 rmse: 0.00539551143903564 rre: 0.17064150440915524 time: 0.8723777220000031
loss: 1330.0212206856543 rmse: 0.005411562797575989 rre: 0.17114915377661266 time: 0.7895523510000011
Warning: The loss function increased!
rre_diff: 0.000831617954399233

step: 4
loss: 1321.145427821485 rmse: 0.0053934757503462825 rre: 0.17057712256428553 time: 0.7404716589999971
loss: 1318.215594007486 rmse: 0.005387492019172733 rre: 0.17038787768899025 time: 0.38380262899999806
loss: 1315.9201622131025 rmse: 0.0053827993085211745 rre: 0.17023946336082385 time: 0.8692376949999954
loss: 1327.514846996178 rmse: 0.005406461452440658 rre: 0.1709878157425377 time: 0.8930646499999995
Warning: The loss function increased!
rre_diff: 0.00016133803407494818

