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2022-05-23 20:42:34.108698
Namespace(data='hyperspectral', algorithm='ALS-RS', rank='5,5,5', 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=(5, 5, 5), 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: 8673.685809039536 rmse: 0.013819593246913961 rre: 0.4370662927178392 time: 0.7730180759999996
loss: 5795.721413311827 rmse: 0.011296584838783189 rre: 0.35727219807732563 time: 0.40926780900000015
loss: 3004.832982602216 rmse: 0.008133989102224575 rre: 0.25725015189650996 time: 0.7292072989999996
loss: 2523.630055354394 rmse: 0.007454289630203791 rre: 0.23575359095650286 time: 0.6309091900000006
rre_diff: 259.1095524312556

step: 1
loss: 2087.3531416047017 rmse: 0.00677940192472671 rre: 0.2144092096738203 time: 0.7731911040000004
loss: 1879.5921340349944 rmse: 0.006433172944726367 rre: 0.2034591756159061 time: 0.4083589760000006
loss: 1845.5811329614987 rmse: 0.006374703479575327 rre: 0.20160998715469963 time: 0.7269846080000004
loss: 1814.9060223115684 rmse: 0.006321505036003767 rre: 0.19992750301100945 time: 0.6290576149999989
rre_diff: 0.03582608794549341

step: 2
loss: 1744.957055583543 rmse: 0.006198488345516987 rre: 0.19603690739847351 time: 0.7727047990000031
loss: 1715.501486164848 rmse: 0.006145949206631744 rre: 0.19437527479866537 time: 0.4106514869999991
loss: 1710.4697209719395 rmse: 0.006136929196011643 rre: 0.19409000282780736 time: 0.7271976429999967
loss: 1714.9061410511104 rmse: 0.006144882673503049 rre: 0.19434154401713724 time: 0.634974102000001
Warning: The loss function increased!
rre_diff: 0.005585958993872209

step: 3
loss: 1699.9917111206119 rmse: 0.006118103494734037 rre: 0.19349461052369205 time: 0.7819337829999995
loss: 1692.7720859744686 rmse: 0.0061050983107162286 rre: 0.19308330119908174 time: 0.42024659300000167
loss: 1688.2650613108972 rmse: 0.006096965447287165 rre: 0.19282608664836295 time: 0.7357030190000025
loss: 1694.9600887885833 rmse: 0.0061090426274675305 rre: 0.1932080463973662 time: 0.6318527640000013
Warning: The loss function increased!
rre_diff: 0.0011334976197710511

step: 4
loss: 1688.6083177850305 rmse: 0.0060975852304430865 rre: 0.19284568826191323 time: 0.7816651449999981
loss: 1687.0340149662618 rmse: 0.00609474215429331 rre: 0.19275577152337425 time: 0.41591749100000186
loss: 1683.6785805725979 rmse: 0.006088678054170715 rre: 0.1925639848541216 time: 0.7355441460000023
loss: 1689.7085421282482 rmse: 0.006099571368736318 rre: 0.19290850299785645 time: 0.6403171449999974
Warning: The loss function increased!
rre_diff: 0.00029954339950974407

