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2022-05-18 09:09:00.631906
Namespace(data='mri', algorithm='ALS-DJSSW19', rank='4,4,2,2', seed=0, alpha=1.0, max_num_samples=16384, 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=16384, max_num_steps=5, rre_gap_tol=0.0, verbose=False)
step: 0
loss: 304305934606.07587 rmse: 128.77638518295734 rre: 0.856333646320282 time: 0.2710414149999998
loss: 211573984852.2396 rmse: 107.37721901869553 rre: 0.7140340627155616 time: 0.2597517599999999
loss: 181373275777.43057 rmse: 99.41860555719606 rre: 0.6611110949256451 time: 0.20245492799999987
loss: 140767683062.17545 rmse: 87.58555781680377 rre: 0.5824240211720549 time: 0.19731316900000007
loss: 130032483770.5941 rmse: 84.17961750940769 rre: 0.559775293469084 time: 0.4521634800000003
rre_diff: 0.4330648808957708

step: 1
loss: 116227228829.40044 rmse: 79.58568536100707 rre: 0.5292266904624164 time: 0.26524909100000027
loss: 111585128084.43434 rmse: 77.98016991408842 rre: 0.5185503782260535 time: 0.2551768750000001
loss: 111131990413.77219 rmse: 77.82167343676369 rre: 0.5174964127325854 time: 0.1972868519999995
loss: 110751713265.83582 rmse: 77.68841224114148 rre: 0.5166102561177833 time: 0.19783836099999963
loss: 109640897339.6965 rmse: 77.29783135771585 rre: 0.5140129821563216 time: 0.4549714199999997
rre_diff: 0.045762311312762316

step: 2
loss: 109304958268.47246 rmse: 77.17932045623145 rre: 0.513224911639723 time: 0.2659177470000005
loss: 108697897098.63237 rmse: 76.96470163479772 rre: 0.5117977453338339 time: 0.2562649530000005
loss: 108664967894.09212 rmse: 76.95304281506645 rre: 0.5117202168366791 time: 0.19794189899999992
loss: 108560811639.9017 rmse: 76.91615391513427 rre: 0.5114749140496595 time: 0.20153475099999874
loss: 108714639464.55934 rmse: 76.97062871166807 rre: 0.5118371590457593 time: 0.45227077000000016
Warning: The loss function increased!
rre_diff: 0.0021758231105623027

step: 3
loss: 108605058704.52148 rmse: 76.93182700781078 rre: 0.511579136548076 time: 0.26601839599999977
loss: 108484799417.06921 rmse: 76.88922158331525 rre: 0.5112958201740415 time: 0.2563922269999992
loss: 108478123761.82715 rmse: 76.88685584251822 rre: 0.5112800885362875 time: 0.20265243100000063
loss: 108390268336.36456 rmse: 76.85571456056843 rre: 0.5110730061004414 time: 0.20155892200000025
loss: 108851021648.79366 rmse: 77.01889328916461 rre: 0.5121581074989793 time: 0.4538402180000016
Warning: The loss function increased!
rre_diff: -0.00032094845321994914

step: 4
loss: 108658939234.17285 rmse: 76.9509081337216 rre: 0.5117060216916827 time: 0.265213589
loss: 108573340525.57726 rmse: 76.92059219208669 rre: 0.511504427581047 time: 0.2557670380000001
loss: 108572025066.81018 rmse: 76.92012621133411 rre: 0.5115013289151199 time: 0.19743759300000008
loss: 108352400163.85616 rmse: 76.84228789530707 rre: 0.5109837218329505 time: 0.19901536499999928
loss: 109000924653.06389 rmse: 77.07190791023291 rre: 0.5125106426606333 time: 0.4520880129999991
Warning: The loss function increased!
rre_diff: -0.00035253516165401066

