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2022-05-23 20:23:56.201011
Namespace(data='mri', algorithm='ALS-RS', rank='4,2,2,1', 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=(4, 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=16384, max_num_steps=5, rre_gap_tol=0.0, verbose=False)
step: 0
loss: 335094352545.803 rmse: 135.13398168288148 rre: 0.8986102157773164 time: 0.24101171
loss: 259622514476.5659 rmse: 118.94664446527773 rre: 0.7909681082272968 time: 0.23534980699999997
loss: 223333550784.95505 rmse: 110.32095290571118 rre: 0.7336092229414312 time: 0.1718948370000004
loss: 161556623328.7237 rmse: 93.83036435547552 rre: 0.6239505630626969 time: 0.19716283200000007
loss: 154204663174.4776 rmse: 91.67053639126087 rre: 0.6095881987721264 time: 0.238127376
rre_diff: 0.3884835581350977

step: 1
loss: 149626712253.9742 rmse: 90.29954991975274 rre: 0.6004714508331751 time: 0.2406333009999999
loss: 139231666028.13577 rmse: 87.10639271980172 rre: 0.5792376823559574 time: 0.23340698500000023
loss: 138534465552.53644 rmse: 86.88802703464151 rre: 0.5777856002592376 time: 0.1704552640000001
loss: 138534240867.85535 rmse: 86.88795657413739 rre: 0.5777851317129251 time: 0.19367334599999975
loss: 138348536395.3832 rmse: 86.82970060417026 rre: 0.5773977427742544 time: 0.2382468769999999
rre_diff: 0.03219045599787207

step: 2
loss: 136616996322.8837 rmse: 86.28461891660025 rre: 0.5737730736363835 time: 0.24030947000000058
loss: 135698938127.1628 rmse: 85.9942164352517 rre: 0.5718419632437417 time: 0.2354568170000002
loss: 135537863426.0286 rmse: 85.94316369388102 rre: 0.571502474135467 time: 0.1703542959999993
loss: 135537854842.6951 rmse: 85.94316097257928 rre: 0.5715024560394298 time: 0.19585940800000046
loss: 135489961311.25589 rmse: 85.9279752328895 rre: 0.5714014743274324 time: 0.2427333340000004
rre_diff: 0.005996268446821995

step: 3
loss: 135258727303.88132 rmse: 85.85461941129098 rre: 0.5709136748128006 time: 0.24026500699999964
loss: 134989630548.45187 rmse: 85.7691731618658 rre: 0.5703454767054326 time: 0.23453922999999932
loss: 134926608476.52309 rmse: 85.74914946812238 rre: 0.5702123237003087 time: 0.1710690330000002
loss: 134926606212.68944 rmse: 85.74914874876164 rre: 0.5702123189167235 time: 0.19151229800000102
loss: 134963907647.64734 rmse: 85.76100091546319 rre: 0.5702911331272164 time: 0.23907354700000027
Warning: The loss function increased!
rre_diff: 0.0011103412002160251

step: 4
loss: 134824167943.84529 rmse: 85.71659155909019 rre: 0.569995821016851 time: 0.24102540999999889
loss: 134712468745.67749 rmse: 85.6810769381539 rre: 0.569759656872308 time: 0.23423373099999978
loss: 134685681552.16936 rmse: 85.67255779468876 rre: 0.5697030065075951 time: 0.17106983999999947
loss: 134685680930.92741 rmse: 85.67255759710507 rre: 0.5697030051937085 time: 0.19088784600000075
loss: 134966501095.77493 rmse: 85.76182489738045 rre: 0.5702966124193919 time: 0.2382871299999998
Warning: The loss function increased!
rre_diff: -5.479292175536443e-06

