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2022-05-23 20:25:08.822049
Namespace(data='mri', algorithm='ALS-RS', rank='8,2,2,1', seed=0, alpha=1.0, max_num_samples=4096, max_num_steps=5, rre_gap_tol=0.0, verbose=False)
Loading MRI tensor...
Finished.
AlgorithmConfig(input_shape=(256, 256, 14, 20), rank=(8, 2, 2, 1), l2_regularization_strength=0.0, algorithm='ALS-RS', random_seed=0, epsilon=0.1, delta=0.01, downsampling_ratio=1.0, max_num_samples=4096, max_num_steps=5, rre_gap_tol=0.0, verbose=False)
step: 0
loss: 334463752850.7556 rmse: 135.00677038316334 rre: 0.897764289593055 time: 0.2603244410000001
loss: 264764601376.24988 rmse: 120.11879839227458 rre: 0.7987626650082453 time: 0.25467647400000004
loss: 233668533860.24454 rmse: 112.8446920822266 rre: 0.7503915139516685 time: 0.17953195200000005
loss: 169110349771.27972 rmse: 95.9988682121817 rre: 0.6383706200633227 time: 0.19820692299999987
loss: 168198125611.80023 rmse: 95.73959696224999 rre: 0.6366465252727709 time: 0.24832072699999985
rre_diff: 0.3597932288479905

step: 1
loss: 162933053695.6088 rmse: 94.22922464566092 rre: 0.6266028931943555 time: 0.25678498600000044
loss: 159208817324.53943 rmse: 93.14607883099617 rre: 0.61940022009827 time: 0.250403607
loss: 158549723656.3162 rmse: 92.95307551181394 rre: 0.6181167919617182 time: 0.1780776390000005
loss: 158549543877.47324 rmse: 92.95302281225472 rre: 0.6181164415216461 time: 0.19892821500000046
loss: 158204987147.37094 rmse: 92.85196604421425 rre: 0.6174444370191243 time: 0.24913029299999945
rre_diff: 0.019202088253646554

step: 2
loss: 156851440176.11813 rmse: 92.453908203662 rre: 0.6147974429948534 time: 0.255946357
loss: 154551635635.9425 rmse: 91.77361135333443 rre: 0.610273623805539 time: 0.2511750150000003
loss: 153015686993.50375 rmse: 91.31644530124349 rre: 0.6072335736301542 time: 0.17685992800000072
loss: 153015584988.6392 rmse: 91.31641486409235 rre: 0.6072333712300279 time: 0.19183034499999962
loss: 151987129939.3803 rmse: 91.00901752730296 rre: 0.605189248917478 time: 0.24812757499999982
rre_diff: 0.012255188101646275

step: 3
loss: 149936830488.62555 rmse: 90.39307948237116 rre: 0.6010934011331621 time: 0.25727153999999963
loss: 146577202413.45502 rmse: 89.37462513404454 rre: 0.5943209115616136 time: 0.24993943900000026
loss: 143919117739.19327 rmse: 88.5605414319866 rre: 0.5889074402640402 time: 0.17654694900000045
loss: 143919081226.96457 rmse: 88.56053019809704 rre: 0.588907365561232 time: 0.19943781000000094
loss: 143342794901.9194 rmse: 88.38304360318679 rre: 0.5877271201088027 time: 0.24919249799999932
rre_diff: 0.01746212880867537

step: 4
loss: 141841961223.84534 rmse: 87.91913018153916 rre: 0.5846422014618627 time: 0.2566132839999984
loss: 139536460200.9678 rmse: 87.201683566941 rre: 0.5798713447970626 time: 0.25425181499999994
loss: 138419236383.02155 rmse: 86.85188397826767 rre: 0.5775452571620945 time: 0.1767064860000005
loss: 138419226488.42227 rmse: 86.85188087405822 rre: 0.5775452365198083 time: 0.19528788899999938
loss: 139143514320.91763 rmse: 87.07881353032661 rre: 0.5790542870241796 time: 0.2483077920000003
Warning: The loss function increased!
rre_diff: 0.008672833084623077

