###################################
2022-05-19 06:11:06.732262
Namespace(data='hyperspectral', algorithm='ALS-DJSSW19', rank='32,32,4', 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=(32, 32, 4), l2_regularization_strength=0.0, algorithm='ALS-DJSSW19', 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: 7355.33441657231 rmse: 0.01272607941124346 rre: 0.40248220405090984 time: 0.8643295850000001
loss: 5048.024896505802 rmse: 0.010542756147388836 rre: 0.3334311844088775 time: 0.5403842689999996
loss: 1366.5465543770451 rmse: 0.0054853662881382895 rre: 0.17348330482095722 time: 2.0831758029999996
loss: 1136.777944220866 rmse: 0.005003008454482729 rre: 0.15822798244261424 time: 3976.186815274
rre_diff: 9034.623019007451

step: 1
loss: 761.3257187203175 rmse: 0.0040942906346021594 rre: 0.1294883573635238 time: 0.8653410879996954
loss: 676.1700715519866 rmse: 0.0038585256311765397 rre: 0.12203191966968245 time: 0.5416852640000798
loss: 641.5658322877786 rmse: 0.0037584954668066907 rre: 0.11886830896711353 time: 2.0532527719997233
loss: 711.7737741963888 rmse: 0.003958807719248685 rre: 0.12520349785411883 time: 3986.8958253640003
Warning: The loss function increased!
rre_diff: 0.03302448458849541

step: 2
loss: 613.6456792252777 rmse: 0.0036758032524034233 rre: 0.11625303810203684 time: 0.8667315319999034
loss: 580.2214049570691 rmse: 0.0035742941518117632 rre: 0.11304265372385505 time: 0.5421103120006592
loss: 560.9472730497531 rmse: 0.003514426281007065 rre: 0.11114923849245069 time: 2.0489179550004337
loss: 648.7357932576142 rmse: 0.0037794390634537413 rre: 0.11953068303118003 time: 3985.432264721
Warning: The loss function increased!
rre_diff: 0.005672814822938799

step: 3
loss: 581.7301133044924 rmse: 0.0035789381260343026 rre: 0.11318952668608033 time: 0.859300586000245
loss: 559.2161220119489 rmse: 0.0035089991185578567 rre: 0.11097759597524542 time: 0.5370985500012466
loss: 540.9410905792204 rmse: 0.003451186297995712 rre: 0.1091491749281715 time: 2.046185205999791
loss: 638.5555245083848 rmse: 0.0037496674317499864 rre: 0.11858910852428732 time: 3975.4513517840005
Warning: The loss function increased!
rre_diff: 0.0009415745068927089

step: 4
loss: 573.6355221700293 rmse: 0.003553951001673163 rre: 0.11239926972156064 time: 0.8703665810007806
loss: 553.196743409763 rmse: 0.003490062664101152 rre: 0.110378700928283 time: 0.541476454000076
loss: 534.05473417459 rmse: 0.0034291485732427995 rre: 0.10845219734818068 time: 2.0580444919996808
loss: 633.0710294591897 rmse: 0.0037335299306804058 rre: 0.11807873476435143 time: 3977.0503193999994
Warning: The loss function increased!
rre_diff: 0.0005103737599358865

