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2022-05-23 20:28:42.005412
Namespace(data='mri', algorithm='ALS-RS', rank='8,8,4,4', 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=(8, 8, 4, 4), 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: 291963897710.7579 rmse: 126.13789972307775 rre: 0.8387883186469536 time: 0.31210577900000014
loss: 183829586573.04907 rmse: 100.0895471380635 rre: 0.6655727037027188 time: 0.3060442689999996
loss: 148492165331.18906 rmse: 89.95654959523692 rre: 0.598190576757044 time: 0.2517995310000001
loss: 125200817677.30743 rmse: 82.60086620504299 rre: 0.5492769566880136 time: 0.26937427800000036
loss: 89251317733.85033 rmse: 69.74102683835257 rre: 0.4637619523622941 time: 1.341859704
rre_diff: 0.4574634767167768

step: 1
loss: 80424571697.52153 rmse: 66.202653566109 rre: 0.4402325755906315 time: 0.31052193000000017
loss: 66724767411.80377 rmse: 60.30100541631268 rre: 0.40098795886812955 time: 0.306047446
loss: 63285325944.90712 rmse: 58.72628516336543 rre: 0.3905164276613414 time: 0.2533968159999995
loss: 59537125828.01685 rmse: 56.96065196999811 rre: 0.378775368860908 time: 0.269465631000001
loss: 58028828591.87295 rmse: 56.23451072541024 rre: 0.37394669488595494 time: 3.5013357309999993
rre_diff: 0.08981525747633917

step: 2
loss: 56412275153.80817 rmse: 55.44569438093936 rre: 0.3687012457643781 time: 0.3121991949999998
loss: 55273215771.20621 rmse: 54.88306856590928 rre: 0.3649599121727097 time: 0.30507653200000107
loss: 54957898401.498924 rmse: 54.72629881728247 rre: 0.3639174290320036 time: 0.24930967799999948
loss: 52789202799.311264 rmse: 53.635652797776785 rre: 0.35666488128110113 time: 0.2774890069999998
loss: 54854586661.94646 rmse: 54.674836435357506 rre: 0.36357521590729497 time: 3.413017173
Warning: The loss function increased!
rre_diff: 0.010371478978659976

step: 3
loss: 54191734618.92188 rmse: 54.343492430790505 rre: 0.3613718537053346 time: 0.3156108499999988
loss: 53743558815.96129 rmse: 54.11831045565208 rre: 0.3598744448319458 time: 0.3082961360000027
loss: 53667739767.28689 rmse: 54.0801231167427 rre: 0.3596205077213096 time: 0.26608580900000334
loss: 51876786783.598335 rmse: 53.170109311368826 rre: 0.3535691230745791 time: 0.273948647000001
loss: 53475541733.70069 rmse: 53.98319881875466 rre: 0.35897598320390517 time: 3.432510773999997
Warning: The loss function increased!
rre_diff: 0.0045992327033897995

step: 4
loss: 53174501209.24925 rmse: 53.83103517540474 rre: 0.35796412961473906 time: 0.31588309300000006
loss: 52939965308.29485 rmse: 53.71218814914421 rre: 0.35717382394489583 time: 0.30408712799999904
loss: 52889480839.3515 rmse: 53.686571603574336 rre: 0.3570034797483041 time: 0.26247409699999835
loss: 51602767132.244064 rmse: 53.02949781261302 rre: 0.35263408861718964 time: 0.2656642280000021
loss: 52456012623.81217 rmse: 53.4661184999631 rre: 0.3555375167940728 time: 3.416007253
Warning: The loss function increased!
rre_diff: 0.0034384664098323636

