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2022-05-23 20:44:57.119489
Namespace(data='hyperspectral', algorithm='ALS-RS', rank='8,8,8', 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=(8, 8, 8), l2_regularization_strength=0.0, algorithm='ALS-RS', 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: 7931.8450921861995 rmse: 0.013215406590008593 rre: 0.4179579428898018 time: 0.8993309140000001
loss: 5580.877036266325 rmse: 0.01108522836256101 rre: 0.3505877183061889 time: 0.5770536489999998
loss: 2551.243696330762 rmse: 0.007494961213517175 rre: 0.23703989351404844 time: 0.8725545459999999
loss: 3948169475264607.0 rmse: 9323.764823553884 rre: 294878.6735466111 time: 0.5939518490000015
Warning: The loss function increased!
rre_diff: -293784.433511557

step: 1
loss: 38156.6210461278 rmse: 0.028985338182494144 rre: 0.9167067421050572 time: 0.9031109990000008
loss: 10754.081372049639 rmse: 0.015387925553448688 rre: 0.48666725960011853 time: 0.5786863970000002
loss: 2678.154634593556 rmse: 0.007679116246615423 rre: 0.24286408501979745 time: 0.8673640349999978
loss: 3849.0086984504924 rmse: 0.009205934141575431 rre: 0.2911520935799947 time: 0.596334027000001
Warning: The loss function increased!
rre_diff: 294878.38239451754

step: 2
loss: 2167.7790716995037 rmse: 0.006908773056795971 rre: 0.2185007744592635 time: 0.9013948020000022
loss: 1907.113246025669 rmse: 0.006480099265647742 rre: 0.20494329405192255 time: 0.5816998590000004
loss: 1852.5222792005372 rmse: 0.006386679713755294 rre: 0.2019887543282507 time: 0.8775553370000004
loss: 3927.989617313913 rmse: 0.009299906515557009 rre: 0.29412411716854675 time: 0.5953403109999975
Warning: The loss function increased!
rre_diff: -0.0029720235885520307

step: 3
loss: 2480.507957490755 rmse: 0.007390328269796919 rre: 0.23373071270164075 time: 0.9122263010000005
loss: 2168.4056116686966 rmse: 0.006909771384944587 rre: 0.2185323481514146 time: 0.591902086000001
loss: 1929.6406597340638 rmse: 0.00651825937881004 rre: 0.2061501674302879 time: 0.8745903400000046
loss: 2667.4769004811656 rmse: 0.007663792737598521 rre: 0.2423794550341109 time: 0.600228426000001
Warning: The loss function increased!
rre_diff: 0.05174466213443585

step: 4
loss: 2063.349185908065 rmse: 0.006740308631465318 rre: 0.21317282301246154 time: 0.9126898869999991
loss: 1901.4131554334806 rmse: 0.00647040797064028 rre: 0.2046367916603639 time: 0.5907460829999991
loss: 1741.731977581146 rmse: 0.00619275758736104 rre: 0.1958556631912866 time: 0.8760740390000024
loss: 2068.432596854532 rmse: 0.006748606471022368 rre: 0.21343525519175718 time: 0.5990922860000012
Warning: The loss function increased!
rre_diff: 0.02894419984235372

