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2022-05-23 20:51:47.201727
Namespace(data='hyperspectral', algorithm='ALS-RS', rank='16,16,16', seed=0, alpha=1.0, max_num_samples=16384, max_num_steps=5, rre_gap_tol=0.0, verbose=False)
Loading hyperspectral tensor...
Finished.
AlgorithmConfig(input_shape=(1024, 1344, 33), rank=(16, 16, 16), 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: 6571.69306755206 rmse: 0.012029070025868954 rre: 0.38043818997522755 time: 1.5072448849999995
loss: 4436.764385514802 rmse: 0.009883860346620156 rre: 0.31259257217304864 time: 1.1931150039999991
loss: 2376.7347050552225 rmse: 0.007234087729922461 rre: 0.22878936078808773 time: 1.2638203350000001
loss: 1998.767879192719 rmse: 0.0066339867255808945 rre: 0.2098102261248884 time: 13.087873959000001
rre_diff: 8550.689096279742

step: 1
loss: 1426.6344518953601 rmse: 0.005604666445088608 rre: 0.1772563592363305 time: 1.5008203839999972
loss: 1285.700071019441 rmse: 0.005320632357979964 rre: 0.16827333612993103 time: 1.1856442370000053
loss: 1111.2315693183793 rmse: 0.00494647368321415 rre: 0.15643998170724333 time: 1.2585359159999996
loss: 1085.3747940811038 rmse: 0.004888586264570179 rre: 0.15460920137893114 time: 13.052606359999999
rre_diff: 0.055201024745957256

step: 2
loss: 1012.4228682788596 rmse: 0.004721439081179038 rre: 0.14932290977267798 time: 1.5029473479999993
loss: 978.4840465963287 rmse: 0.004641627580028455 rre: 0.14679874597849965 time: 1.1838582030000069
loss: 904.1072528937628 rmse: 0.0044617311139955925 rre: 0.14110923832967057 time: 1.266757628999997
loss: 980.0202287340524 rmse: 0.004645269739034791 rre: 0.14691393496459693 time: 13.179282743000002
Warning: The loss function increased!
rre_diff: 0.007695266414334212

step: 3
loss: 935.2859769485816 rmse: 0.004538011883500811 rre: 0.14352173720265696 time: 1.5126674730000076
loss: 916.7743196564388 rmse: 0.004492878116361157 rre: 0.14209431108904655 time: 1.1871216269999962
loss: 872.1688697763777 rmse: 0.004382215272415362 rre: 0.13859442523272425 time: 1.2623603030000083
loss: 928.2526756770196 rmse: 0.004520916879329666 rre: 0.14298108090665876 time: 13.166511082
Warning: The loss function increased!
rre_diff: 0.003932854057938168

step: 4
loss: 894.4487467624781 rmse: 0.004437834962512304 rre: 0.14035348509204493 time: 1.5086263259999981
loss: 881.3536720133686 rmse: 0.0044052293748660775 rre: 0.1393222822874613 time: 1.187504950999994
loss: 848.1277983200933 rmse: 0.004321396007372851 rre: 0.1366709206676467 time: 1.2625799449999988
loss: 913.3903202145891 rmse: 0.004484578389356081 rre: 0.14183181921624927 time: 13.177888429999996
Warning: The loss function increased!
rre_diff: 0.0011492616904094921

