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2022-05-18 09:08:46.068294
Namespace(data='mri', algorithm='ALS-DJSSW19', rank='4,4,2,2', seed=0, alpha=1.0, max_num_samples=4096, max_num_steps=5, rre_gap_tol=0.0, verbose=False)
Loading MRI tensor...
Finished.
AlgorithmConfig(input_shape=(256, 256, 14, 20), rank=(4, 4, 2, 2), l2_regularization_strength=0.0, algorithm='ALS-DJSSW19', 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: 304305934606.07587 rmse: 128.77638518295734 rre: 0.856333646320282 time: 0.2693624360000002
loss: 211573984852.2396 rmse: 107.37721901869553 rre: 0.7140340627155616 time: 0.26277646899999985
loss: 181373275777.43057 rmse: 99.41860555719606 rre: 0.6611110949256451 time: 0.19977968099999988
loss: 140767683062.17545 rmse: 87.58555781680377 rre: 0.5824240211720549 time: 0.1940758680000001
loss: 132248315395.96332 rmse: 84.89382335974524 rre: 0.5645245997892909 time: 0.2835702969999998
rre_diff: 0.4283155745755638

step: 1
loss: 118463779935.12575 rmse: 80.34776709441863 rre: 0.5342943605064174 time: 0.26595516600000035
loss: 114936252843.54663 rmse: 79.14245830358794 rre: 0.5262793314284733 time: 0.25511159199999955
loss: 114502676743.1912 rmse: 78.9930419972901 rre: 0.5252857470052892 time: 0.19326346999999977
loss: 112639687255.60379 rmse: 78.34778754965461 rre: 0.5209949518166912 time: 0.19713378900000045
loss: 111354454166.2522 rmse: 77.89952611474848 rre: 0.5180141153185043 time: 0.28275435800000004
rre_diff: 0.04651048447078665

step: 2
loss: 110411639077.75058 rmse: 77.56904552747733 rre: 0.5158164946450097 time: 0.2689492470000001
loss: 109376681769.43227 rmse: 77.20463798697487 rre: 0.5133932674557876 time: 0.2559942719999997
loss: 109337195806.57545 rmse: 77.19070094572352 rre: 0.5133005893041473 time: 0.1936610899999991
loss: 108780169490.93068 rmse: 76.99382304642342 rre: 0.5119913960918357 time: 0.19769666000000008
loss: 110129003946.89212 rmse: 77.46970008813715 rre: 0.5151558700887714 time: 0.2897785180000003
Warning: The loss function increased!
rre_diff: 0.002858245229732881

step: 3
loss: 109319994259.62071 rmse: 77.1846286677337 rre: 0.5132602100378315 time: 0.26730249999999955
loss: 108953047818.18674 rmse: 77.05497977729435 rre: 0.5123980744301765 time: 0.25470996600000007
loss: 108944280832.4681 rmse: 77.05187957261543 rre: 0.5123774587748041 time: 0.19390694700000033
loss: 108489208549.51303 rmse: 76.89078406634844 rre: 0.5113062103305228 time: 0.19282572200000025
loss: 109872015838.46875 rmse: 77.37925879234724 rre: 0.5145544560601693 time: 0.2824323359999994
Warning: The loss function increased!
rre_diff: 0.000601414028602143

step: 4
loss: 109317172312.28731 rmse: 77.18363245306975 rre: 0.5132535854370983 time: 0.2634974830000001
loss: 109083946528.46931 rmse: 77.10125369980658 rre: 0.5127057854809111 time: 0.2565095450000001
loss: 109077274169.33894 rmse: 77.09889563000105 rre: 0.5126901048535043 time: 0.19360848600000047
loss: 108485363821.30907 rmse: 76.88942159542039 rre: 0.5112971502090093 time: 0.19243533599999907
loss: 110031068894.30511 rmse: 77.4352464639144 rre: 0.5149267613308443 time: 0.28233149299999916
Warning: The loss function increased!
rre_diff: -0.00037230527067499963

