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2022-05-17 21:39:46.066706
Namespace(data='hyperspectral', algorithm='ALS-DJSSW19', rank='16,16,4', seed=0, alpha=1.0, max_num_samples=1024, max_num_steps=5, rre_gap_tol=0.0, verbose=False)
Loading hyperspectral tensor...
Finished.
AlgorithmConfig(input_shape=(1024, 1344, 33), rank=(16, 16, 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: 8111.067767425508 rmse: 0.013363875848109249 rre: 0.4226535158391079 time: 0.762557749
loss: 6103.957767196702 rmse: 0.011593089199816243 rre: 0.3666496131383897 time: 0.42117486500000023
loss: 2038.683225340252 rmse: 0.0066998995599634875 rre: 0.21189482280233096 time: 1.205254932999999
loss: 8915465.778508153 rmse: 0.4430629512831124 rre: 14.012560145442619 time: 6.631566554000001
Warning: The loss function increased!
rre_diff: 2230.549209524286

step: 1
loss: 29355.83548362077 rmse: 0.02542381033376936 rre: 0.8040678427220315 time: 0.7565989569999978
loss: 2090.9998119418924 rmse: 0.00678532125270269 rre: 0.214596417697068 time: 0.4161223990000025
loss: 1874.9191150341408 rmse: 0.006425170930012487 rre: 0.20320609936085424 time: 1.1906861030000009
loss: 1061589.463402629 rmse: 0.15288740772740725 rre: 4.835303854806329 time: 6.5933848919999996
Warning: The loss function increased!
rre_diff: 9.17725629063629

step: 2
loss: 21252.080903554666 rmse: 0.021631874151074267 rre: 0.6841419187109701 time: 0.7511892329999981
loss: 2113.214059111657 rmse: 0.006821268789305344 rre: 0.2157333148744701 time: 0.41317682400000066
loss: 1970.2608778804956 rmse: 0.006586508920512607 rre: 0.208308666138511 time: 1.1894065460000007
loss: 414493.2496676818 rmse: 0.0955327211723174 rre: 3.0213720136340383 time: 6.5655470399999984
Warning: The loss function increased!
rre_diff: 1.8139318411722911

step: 3
loss: 17136.831484305123 rmse: 0.01942489502251727 rre: 0.6143427452773051 time: 0.7511749370000018
loss: 51654.751555286646 rmse: 0.033724735785999035 rre: 1.0665976182885704 time: 0.4156107640000002
Warning: The loss function increased!
loss: 77155.72499692412 rmse: 0.04121710604500095 rre: 1.3035555688058638 time: 1.1933370009999962
Warning: The loss function increased!
loss: 14311.496594337257 rmse: 0.017751536230156583 rre: 0.5614201511968168 time: 6.402732483999998
rre_diff: 2.4599518624372214

step: 4
loss: 60132.553191046456 rmse: 0.03638716661904846 rre: 1.1508011656019785 time: 0.7525955000000053
Warning: The loss function increased!
loss: 5125.33200056021 rmse: 0.010623177026998087 rre: 0.33597462075175055 time: 0.41631172299999974
loss: 2672.5408171487015 rmse: 0.007671063729646016 rre: 0.2426094115517739 time: 1.194601719000005
loss: 9829.056882968354 rmse: 0.014711242064787895 rre: 0.46526608386013124 time: 6.3912683419999965
Warning: The loss function increased!
rre_diff: 0.09615406733668552

