###################################
2022-05-18 09:22:33.638784
Namespace(data='mri', algorithm='ALS-DJSSW19', rank='16,16,4,4', 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, 16, 4, 4), 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: 293324276331.09827 rmse: 126.43142211501021 rre: 0.8407401757347501 time: 0.3233833439999998
loss: 176658711570.93567 rmse: 98.11796864550956 rre: 0.6524621555448661 time: 0.3235707219999999
loss: 142119822074.58725 rmse: 88.00520249711211 rre: 0.5852145627665933 time: 0.28751263599999977
loss: 117120008672.2674 rmse: 79.8907626371405 rre: 0.5312553848997517 time: 0.32489054900000003
loss: 475039420543.4039 rmse: 160.8962211494019 rre: 1.0699232436154462 time: 53.581272836
Warning: The loss function increased!
rre_diff: -0.08119644562150996

step: 1
loss: 116465249182.0367 rmse: 79.66713496928953 rre: 0.529768311815996 time: 0.3250708859999989
loss: 74301412262.71721 rmse: 63.63258309463154 rre: 0.42314219201592895 time: 0.316715606999999
loss: 72313726290.65244 rmse: 62.77567476432099 rre: 0.41744394668923707 time: 0.2859286460000021
loss: 64739947298.416336 rmse: 59.397366456287486 rre: 0.3949789654917737 time: 0.3322592469999961
loss: 629865085681.3528 rmse: 185.26986571953097 rre: 1.2320024314976001 time: 53.244472672
Warning: The loss function increased!
rre_diff: -0.16207918788215392

step: 2
loss: 123007821958.71536 rmse: 81.87425917452394 rre: 0.5444451853426515 time: 0.3224374849999947
loss: 69001005991.03212 rmse: 61.320929645287904 rre: 0.40777022281138203 time: 0.31430151899999714
loss: 67690660138.06778 rmse: 60.73588914743176 rre: 0.403879836681484 time: 0.28417556699999125
loss: 59782177416.44084 rmse: 57.077755076938125 rre: 0.3795540778642622 time: 0.3236446619999924
loss: 926873340682.6213 rmse: 224.74560851526283 rre: 1.4945071346809011 time: 53.516560596000005
Warning: The loss function increased!
rre_diff: -0.262504703183301

step: 3
loss: 150686285792.82153 rmse: 90.6187115951118 rre: 0.6025938033191346 time: 0.3220037609999906
loss: 82656672758.74109 rmse: 67.11505936592664 rre: 0.44629986645589037 time: 0.31328455599998506
loss: 81316052958.55067 rmse: 66.56856024027311 rre: 0.44266577167743504 time: 0.29474852300000975
loss: 71828572866.90999 rmse: 62.5647391004079 rre: 0.41604127254241224 time: 0.3233300539999959
loss: 1718406133574.3435 rmse: 306.0158534403844 rre: 2.034935762765129 time: 53.37201606799999
Warning: The loss function increased!
rre_diff: -0.5404286280842281

step: 4
loss: 187987382933.34958 rmse: 101.21511431796061 rre: 0.6730574692206384 time: 0.3216662989999861
loss: 87924306143.11081 rmse: 69.22062143466664 rre: 0.46030137489484924 time: 0.31406734699999106
loss: 86859656256.2036 rmse: 68.80025884644697 rre: 0.45750605937612765 time: 0.2846130480000113
loss: 77712389308.69418 rmse: 65.07679408657582 rre: 0.43274586634667217 time: 0.3137865910000244
loss: 2328522276703.116 rmse: 356.2223936549084 rre: 2.368797825983837 time: 52.969583382999986
Warning: The loss function increased!
rre_diff: -0.3338620632187079

