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2022-05-23 20:43:45.491208
Namespace(data='hyperspectral', algorithm='ALS-RS', rank='8,8,4', seed=0, alpha=1.0, max_num_samples=4096, 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=4096, max_num_steps=5, rre_gap_tol=0.0, verbose=False)
step: 0
loss: 8825.78408558177 rmse: 0.01394023409101707 rre: 0.4408817484653715 time: 0.7177054140000001
loss: 6266.746864703107 rmse: 0.011746662570854667 rre: 0.3715066116578601 time: 0.4004177179999999
loss: 2469.7218137590057 rmse: 0.007374242857331761 rre: 0.23322198632544627 time: 0.9200498239999995
loss: 2106.458708376094 rmse: 0.006810357223540653 rre: 0.21538821950796316 time: 0.5778960929999997
rre_diff: 569.2729396275784

step: 1
loss: 1603.5705204462165 rmse: 0.0059420656980126085 rre: 0.1879271393386459 time: 0.7101772840000002
loss: 1495.034976444421 rmse: 0.005737452379544409 rre: 0.18145592249848594 time: 0.37583103999999956
loss: 1431.7231488946493 rmse: 0.005614653257747583 rre: 0.17757220783671537 time: 0.8685188459999988
loss: 1464.2483055103494 rmse: 0.005678070525292504 rre: 0.1795778783021861 time: 0.5965435630000009
Warning: The loss function increased!
rre_diff: 0.03581034120577706

step: 2
loss: 1407.6299164896898 rmse: 0.005567210743271801 rre: 0.1760717639706289 time: 0.7110685279999984
loss: 1390.9276913860417 rmse: 0.005534083327367054 rre: 0.1750240575296276 time: 0.37563518400000007
loss: 1368.6335807488745 rmse: 0.005489553388986717 rre: 0.17361572844677317 time: 0.871208523
loss: 1423.1028741376058 rmse: 0.005597725080427835 rre: 0.17703682770132215 time: 0.7189842679999998
Warning: The loss function increased!
rre_diff: 0.002541050600863959

step: 3
loss: 1383.3238396820075 rmse: 0.0055189358766378665 rre: 0.17454499566318588 time: 0.7106022440000004
loss: 1371.331061679109 rmse: 0.005494960488668542 rre: 0.17378673644752016 time: 0.3776961199999995
loss: 1352.9430921658075 rmse: 0.005457995611894373 rre: 0.1726176642929496 time: 0.868498510000002
loss: 1394.1285090410643 rmse: 0.005540447214131372 rre: 0.17522532542121172 time: 0.7229256759999991
Warning: The loss function increased!
rre_diff: 0.0018115022801104275

step: 4
loss: 1356.5067818749426 rmse: 0.005465179140673645 rre: 0.17284485464769392 time: 0.7147783399999987
loss: 1350.8454775695777 rmse: 0.005453762909004028 rre: 0.1724837984310964 time: 0.3795813910000021
loss: 1333.792749218753 rmse: 0.005419230124475387 rre: 0.171391645005052 time: 0.8759302939999998
loss: 1402.6180667521464 rmse: 0.005557290911398665 rre: 0.17575803374255985 time: 0.7251236860000034
Warning: The loss function increased!
rre_diff: -0.0005327083213481354

