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2022-05-23 20:29:48.104340
Namespace(data='mri', algorithm='ALS-RS', rank='16,4,4,2', 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=(16, 4, 4, 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=16384, max_num_steps=5, rre_gap_tol=0.0, verbose=False)
step: 0
loss: 313116292498.58496 rmse: 130.62727044189455 rre: 0.8686416119496504 time: 0.2692815019999999
loss: 219256894175.27332 rmse: 109.3094346130578 rre: 0.7268828565611597 time: 0.27081494699999986
loss: 184075108201.91306 rmse: 100.15636431724887 rre: 0.6660170227337846 time: 0.20046760500000005
loss: 134930565049.14807 rmse: 85.75040670809184 rre: 0.5702206840599027 time: 0.25273747999999996
loss: 111800747739.69832 rmse: 78.05547539112877 rre: 0.5190511425055465 time: 0.6761554170000004
rre_diff: 0.4455301729689568

step: 1
loss: 106359557871.66064 rmse: 76.13235792131151 rre: 0.506262849117041 time: 0.2700532410000003
loss: 97675814921.32196 rmse: 72.95827223225032 rre: 0.4851559018457295 time: 0.26696786699999997
loss: 93419798512.32986 rmse: 71.35106866155577 rre: 0.4744683639705477 time: 0.20188751900000046
loss: 92803728662.57481 rmse: 71.11541223039475 rre: 0.47290130234905375 time: 0.25798735399999995
loss: 90745676874.05022 rmse: 70.32244972154332 rre: 0.46762828217819485 time: 0.7498906950000004
rre_diff: 0.05142286032735166

step: 2
loss: 88283410044.04391 rmse: 69.3618341839233 rre: 0.4612404075311984 time: 0.2701774049999983
loss: 86392751173.33119 rmse: 68.61509534775728 rre: 0.4562747642611647 time: 0.26728060900000017
loss: 85832177708.68745 rmse: 68.39212293907717 rre: 0.4547920485017296 time: 0.1990835939999993
loss: 85482420113.86531 rmse: 68.25263514194572 rre: 0.4538644864043385 time: 0.25868337899999894
loss: 86609889631.90227 rmse: 68.70126939510347 rre: 0.4568478020590288 time: 1.8629872939999998
Warning: The loss function increased!
rre_diff: 0.010780480119166047

step: 3
loss: 84748984970.50374 rmse: 67.95920217637668 rre: 0.4519132239815013 time: 0.2756368689999995
loss: 84190699363.90465 rmse: 67.7349910264305 rre: 0.45042227087463865 time: 0.267520674
loss: 84115976395.9861 rmse: 67.70492545420323 rre: 0.45022234166356856 time: 0.2007414590000014
loss: 83819571579.61632 rmse: 67.58553210674407 rre: 0.44942840308212106 time: 0.2574741369999991
loss: 85767854060.18958 rmse: 68.36649120333828 rre: 0.45462160329397194 time: 1.860401947999998
Warning: The loss function increased!
rre_diff: 0.0022261987650568638

step: 4
loss: 83930037804.6089 rmse: 67.63005309529235 rre: 0.44972445752103996 time: 0.2695414439999979
loss: 83763217520.02518 rmse: 67.56280853859425 rre: 0.44927729652680437 time: 0.2669066630000003
loss: 83713436779.29066 rmse: 67.54272916120065 rre: 0.4491437732380828 time: 0.20034749999999946
loss: 83367159427.55243 rmse: 67.40289047545234 rre: 0.4482138778112671 time: 0.2573827710000032
loss: 85903845196.41162 rmse: 68.42066974422951 rre: 0.45498187825748937 time: 1.8575822330000022
Warning: The loss function increased!
rre_diff: -0.00036027496351742627

