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2022-05-17 20:47:28.107550
Namespace(data='mri', algorithm='ALS-DJSSW19', rank='16,4,4,2', 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=(16, 4, 4, 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=1024, max_num_steps=5, rre_gap_tol=0.0, verbose=False)
step: 0
loss: 313116292498.58496 rmse: 130.62727044189455 rre: 0.8686416119496504 time: 0.2825104380000001
loss: 219256894175.27332 rmse: 109.3094346130578 rre: 0.7268828565611597 time: 0.2809019250000002
loss: 184075108201.91306 rmse: 100.15636431724887 rre: 0.6660170227337846 time: 0.20674198099999996
loss: 134930565049.14807 rmse: 85.75040670809184 rre: 0.5702206840599027 time: 0.2504982149999999
loss: 243461973285.51593 rmse: 115.18517537153099 rre: 0.7659551950290199 time: 1.898271136
Warning: The loss function increased!
rre_diff: 0.19862612044548345

step: 1
loss: 116676105834.38379 rmse: 79.73921977207927 rre: 0.5302476593448889 time: 0.2817028500000003
loss: 106908917834.20526 rmse: 76.32872109997751 rre: 0.5075686195543087 time: 0.2812265949999997
loss: 101023677776.68375 rmse: 74.19806961082483 rre: 0.4934002721810566 time: 0.20412531499999975
loss: 95587186277.3998 rmse: 72.1740137367603 rre: 0.47994076138230923 time: 0.2516243740000004
loss: 184603105642.9924 rmse: 100.29990473732879 rre: 0.6669715338512286 time: 1.8432304879999997
Warning: The loss function increased!
rre_diff: 0.09898366117779123

step: 2
loss: 96793662715.96863 rmse: 72.62806624876345 rre: 0.48296010722488836 time: 0.2809783499999998
loss: 94327749438.43628 rmse: 71.69696226433695 rre: 0.47676847768850655 time: 0.27988238999999915
loss: 92998820736.83931 rmse: 71.19012242591468 rre: 0.4733981081419481 time: 0.2043757149999994
loss: 89019196800.70807 rmse: 69.65027808618414 rre: 0.4631584938187654 time: 0.24348220899999973
loss: 185740422666.48486 rmse: 100.60839800660433 rre: 0.6690229438653292 time: 1.8413024399999998
Warning: The loss function increased!
rre_diff: -0.0020514100141005853

step: 3
loss: 377165594435.97 rmse: 143.3662922020137 rre: 0.9533532066950509 time: 0.28126342700000073
Warning: The loss function increased!
loss: 1454912984462.5557 rmse: 281.5785245350022 rre: 1.8724330885508864 time: 0.28022396599999944
Warning: The loss function increased!
loss: 8539628961852.36 rmse: 682.1824143378814 rre: 4.536357760746051 time: 0.2050875399999974
Warning: The loss function increased!
loss: 420481581207.57764 rmse: 151.37512241723127 rre: 1.0066101044656597 time: 0.24691090700000018
loss: 147548246084.4753 rmse: 89.67018065318295 rre: 0.5962862884825009 time: 1.8230475500000018
rre_diff: 0.07273665538282836

step: 4
loss: 8641797343452.899 rmse: 686.2511066465723 rre: 4.563413638386246 time: 0.28050823899999955
Warning: The loss function increased!
loss: 451944571518.3749 rmse: 156.93637114563373 rre: 1.043591142525712 time: 0.28579493199999817
loss: 380491341044.2776 rmse: 143.9969879782012 rre: 0.9575471900327108 time: 0.20514348600000076
loss: 384139189856.5608 rmse: 144.68560581803496 rre: 0.9621263419080198 time: 0.25140259799999853
Warning: The loss function increased!
loss: 137674545226.2156 rmse: 86.61793869142565 rre: 0.5759895742607904 time: 1.8113070019999995
rre_diff: 0.02029671422171042

