###################################
2022-05-23 20:27:10.206112
Namespace(data='mri', algorithm='ALS-RS', rank='8,8,2,2', seed=0, alpha=1.0, max_num_samples=1024, max_num_steps=5, rre_gap_tol=0.0, verbose=False)
Loading MRI tensor...
Finished.
AlgorithmConfig(input_shape=(256, 256, 14, 20), rank=(8, 8, 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: 304158644160.0954 rmse: 128.74521617707495 rre: 0.8561263795265952 time: 0.29380873100000016
loss: 215116088094.34222 rmse: 108.27232551339067 rre: 0.7199863171398354 time: 0.28171602100000026
loss: 182494172666.02924 rmse: 99.72533862432917 rre: 0.6631507999961976 time: 0.21002410000000005
loss: 153363439696.5898 rmse: 91.42015204986463 rre: 0.6079231999002858 time: 0.207813668
loss: 160186223800.89853 rmse: 93.4315601255105 rre: 0.6212986057187421 time: 0.2984119200000004
Warning: The loss function increased!
rre_diff: 0.3550821705425681

step: 1
loss: 128232533172.63132 rmse: 83.59496683907332 rre: 0.555887499603464 time: 0.2873863960000005
loss: 113188505335.28711 rmse: 78.5384238812625 rre: 0.5222626400247037 time: 0.276411875
loss: 105712412387.78271 rmse: 75.90039059548442 rre: 0.5047203192062157 time: 0.20481028399999968
loss: 100683695915.50447 rmse: 74.07311248276393 rre: 0.49256933572516776 time: 0.19999542199999976
loss: 122320384947.10027 rmse: 81.64515889662856 rre: 0.5429217206479063 time: 0.3008003160000001
Warning: The loss function increased!
rre_diff: 0.07837688507083573

step: 2
loss: 106998289360.61063 rmse: 76.36061829526619 rre: 0.5077807286417795 time: 0.2927764110000002
loss: 100708841488.47339 rmse: 74.08236171898149 rre: 0.4926308410404832 time: 0.2794036749999993
loss: 100142708759.59314 rmse: 73.87384200470234 rre: 0.4912442324087481 time: 0.21019034200000064
loss: 95296348625.16649 rmse: 72.06413022187444 rre: 0.4792100610226197 time: 0.20179860500000046
loss: 123819501707.1682 rmse: 82.14394287672138 rre: 0.5462385205704402 time: 0.31063766100000123
Warning: The loss function increased!
rre_diff: -0.003316799922533864

step: 3
loss: 102532338891.46265 rmse: 74.75004374651357 rre: 0.49707077452989384 time: 0.2871673139999995
loss: 98287310230.48117 rmse: 73.1862920011911 rre: 0.4866721814018977 time: 0.28582265800000073
loss: 98185715575.46182 rmse: 73.14845772508987 rre: 0.4864205920785631 time: 0.2264550370000009
loss: 93871626978.27135 rmse: 71.52340663365102 rre: 0.4756143722533094 time: 0.22578193199999852
loss: 112802103639.23557 rmse: 78.40425246387558 rre: 0.5213704306423727 time: 0.31045649700000055
Warning: The loss function increased!
rre_diff: 0.02486808992806755

step: 4
loss: 102380231809.93584 rmse: 74.69457719266946 rre: 0.4967019345734479 time: 0.28637115299999927
loss: 99147776209.40028 rmse: 73.50595221756814 rre: 0.4887978490721368 time: 0.2774126590000012
loss: 99103135751.21591 rmse: 73.48940263398784 rre: 0.488687798108738 time: 0.20812967400000026
loss: 94043866372.54837 rmse: 71.5889935574859 rre: 0.47605051036635443 time: 0.2121598450000004
loss: 102997190203.61229 rmse: 74.91929942437852 rre: 0.4981962862576892 time: 0.30702816600000027
Warning: The loss function increased!
rre_diff: 0.02317414438468346

