###################################
2022-05-17 16:19:53.190495
Namespace(data='coil', algorithm='ALS-DJSSW19', rank='1,1,1,1', seed=0, alpha=1.0, max_num_samples=1028, max_num_steps=5, rre_gap_tol=0.0, verbose=False)
Loading COIL-100 tensor...
Finished.
AlgorithmConfig(input_shape=(7200, 128, 128, 3), rank=(1, 1, 1, 1), l2_regularization_strength=0.0, algorithm='ALS-DJSSW19', random_seed=0, epsilon=0.1, delta=0.01, downsampling_ratio=1.0, max_num_samples=1028, max_num_steps=5, rre_gap_tol=0.0, verbose=False)
step: 0
loss: 30299349.119248237 rmse: 0.292603693852046 rre: 0.8449430330330274 time: 0.593015437
loss: 25405008.5243273 rmse: 0.26793091501898764 rre: 0.773696179289962 time: 1.255186632000001
loss: 17668718.956930164 rmse: 0.22344245077639466 rre: 0.6452281568352447 time: 4.958333668999998
loss: 11993256.084261313 rmse: 0.1840906402967521 rre: 0.5315930975361545 time: 1.337716363000002
loss: 12017461.207426155 rmse: 0.18427631508692885 rre: 0.5321292651364482 time: 0.015592265999998745
Warning: The loss function increased!
rre_diff: 0.4268626790434217

step: 1
loss: 11853872.780036805 rmse: 0.1830177811257754 rre: 0.5284950338377492 time: 0.5953147279999982
loss: 11849718.191765651 rmse: 0.1829857059476287 rre: 0.5284024112944327 time: 1.2073266819999944
loss: 11848472.198099755 rmse: 0.1829760852536725 rre: 0.5283746299010258 time: 4.967853101000003
loss: 11846184.996046249 rmse: 0.1829584237581811 rre: 0.528323629322831 time: 1.331381780000001
loss: 11848119.571782269 rmse: 0.1829733624273821 rre: 0.5283667672760741 time: 0.015582602999998585
Warning: The loss function increased!
rre_diff: 0.003762497860374081

step: 2
loss: 11846091.147101317 rmse: 0.18295769903165313 rre: 0.5283215365514697 time: 0.5908654790000014
loss: 11846088.485099792 rmse: 0.18295767847492708 rre: 0.5283214771904199 time: 1.2058780909999953
loss: 11846087.332105946 rmse: 0.18295766957118292 rre: 0.5283214514793412 time: 4.967789379999999
loss: 11846084.953165878 rmse: 0.18295765120033436 rre: 0.5283213984303851 time: 1.3314476930000012
loss: 11846485.833956918 rmse: 0.1829607468892364 rre: 0.5283303377596731 time: 0.015408075999999937
Warning: The loss function increased!
rre_diff: 3.642951640103753e-05

step: 3
loss: 11846084.835891288 rmse: 0.18295765029470673 rre: 0.5283213958152311 time: 0.595902934999998
loss: 11846084.83237842 rmse: 0.18295765026757935 rre: 0.5283213957368961 time: 1.2068269599999866
loss: 11846084.83103266 rmse: 0.18295765025718705 rre: 0.5283213957068865 time: 4.970553178999992
loss: 11846084.82762183 rmse: 0.18295765023084762 rre: 0.528321395630827 time: 1.33692116200001
loss: 11846177.761786524 rmse: 0.18295836789340444 rre: 0.5283234680037675 time: 0.015482919999996625
Warning: The loss function increased!
rre_diff: 6.86975590558081e-06

step: 4
loss: 11846084.827412235 rmse: 0.18295765022922908 rre: 0.5283213956261531 time: 0.5927643239999867
loss: 11846084.827421345 rmse: 0.1829576502292994 rre: 0.5283213956263563 time: 1.2112013349999984
Warning: The loss function increased!
loss: 11846084.827407971 rmse: 0.18295765022919616 rre: 0.5283213956260581 time: 4.962374287999992
loss: 11846084.827409502 rmse: 0.18295765022920799 rre: 0.5283213956260921 time: 1.3367416960000043
Warning: The loss function increased!
loss: 11854124.316120606 rmse: 0.18301972291022728 rre: 0.5285006410712828 time: 0.01544630099999722
Warning: The loss function increased!
rre_diff: -0.0001771730675153016

