###################################
2022-05-23 20:49:32.550490
Namespace(data='hyperspectral', algorithm='ALS-RS', rank='16,16,16', 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, 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=1024, max_num_steps=5, rre_gap_tol=0.0, verbose=False)
step: 0
loss: 6571.69306755206 rmse: 0.012029070025868954 rre: 0.38043818997522755 time: 1.595285144
loss: 4436.764385514802 rmse: 0.009883860346620156 rre: 0.31259257217304864 time: 1.193745925
loss: 2376.7347050552225 rmse: 0.007234087729922461 rre: 0.22878936078808773 time: 1.2630253390000004
loss: 4.110606122089635e+135 rmse: 9.513632031155265e+63 rre: 3.0088352152240488e+65 time: 1.3511553259999989
Warning: The loss function increased!
rre_diff: -3.0088352152240488e+65

step: 1
loss: 43352.72153505646 rmse: 0.030895953334559308 rre: 0.977132940358767 time: 1.5286885239999997
loss: 7675.623508180915 rmse: 0.013000206460481688 rre: 0.41115190155962544 time: 1.181232468000001
loss: 2385.8660268554195 rmse: 0.007247970949102638 rre: 0.22922843935065135 time: 1.2578012039999997
loss: 45405.56225718068 rmse: 0.0316189865866311 rre: 0.9999999999999984 time: 1.3379032449999997
Warning: The loss function increased!
rre_diff: 3.0088352152240488e+65

step: 2
loss: 1827.653442882035 rmse: 0.0063436664809692865 rre: 0.20062839343660235 time: 1.631885232000002
loss: 1409.561213409771 rmse: 0.005571028597451616 rre: 0.1761925095919142 time: 1.1846423870000038
loss: 1345.6963520603913 rmse: 0.005443358713256994 rre: 0.1721547494364827 time: 1.2583673000000033
loss: 9.013064550338962e+161 rmse: 1.4087361460889426e+77 rre: 4.455348820966234e+78 time: 1.3403533359999997
Warning: The loss function increased!
rre_diff: -4.455348820966234e+78

step: 3
loss: 46176.766467619855 rmse: 0.03188637699218788 rre: 1.0084566405954891 time: 1.525761334000002
loss: 76705.77749879916 rmse: 0.04109674782934738 rre: 1.2997490516259471 time: 1.192982647000001
Warning: The loss function increased!
loss: 3524.1910062526263 rmse: 0.008808929548958344 rre: 0.2785962012040846 time: 1.2663070219999994
loss: 45405.56225718068 rmse: 0.0316189865866311 rre: 0.9999999999999984 time: 1.345980077
Warning: The loss function increased!
rre_diff: 4.455348820966234e+78

step: 4
loss: 2349.819607734515 rmse: 0.007193010248487403 rre: 0.22749022106637298 time: 1.5333910920000022
loss: 166248.85904516955 rmse: 0.06050242111778114 rre: 1.9134838794410387 time: 1.1922116419999966
Warning: The loss function increased!
loss: 256373.0571007555 rmse: 0.07513280593438446 rre: 2.3761927261182816 time: 1.2651829539999966
Warning: The loss function increased!
loss: nan rmse: nan rre: nan time: 1.3817475709999911
rre_diff: nan

