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2022-05-23 21:10:25.627027
Namespace(data='hyperspectral', algorithm='ALS-RS', rank='64,64,8', 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=(64, 64, 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=16384, max_num_steps=5, rre_gap_tol=0.0, verbose=False)
step: 0
loss: 6122.929249294523 rmse: 0.01161109124556507 rre: 0.36721895604568067 time: 1.7097799499999997
loss: 3805.92473459148 rmse: 0.009154265733267242 rre: 0.2895179991991826 time: 1.3780918270000004
loss: 954.3200983781159 rmse: 0.004583956129155261 rre: 0.14497479596937515 time: 3.789914726000001
loss: 4.640195492456433e+101 rmse: 1.0107914421440414e+47 rre: 3.196786333978885e+48 time: 101.69744123800001
Warning: The loss function increased!
rre_diff: -3.196786333978885e+48

step: 1
loss: 38544.894007574985 rmse: 0.029132438966578546 rre: 0.9213590349191033 time: 1.717451902999997
loss: 1581.9647433985142 rmse: 0.005901899604170291 rre: 0.18665682367776068 time: 1.395280638999992
loss: 1175.9208827306882 rmse: 0.005088414351397684 rre: 0.16092907776965631 time: 3.846478710999989
loss: 45405.56225718068 rmse: 0.0316189865866311 rre: 0.9999999999999984 time: 104.41079927300001
Warning: The loss function increased!
rre_diff: 3.196786333978885e+48

step: 2
loss: 1146.3000559454706 rmse: 0.005023918369228285 rre: 0.15888929126376403 time: 2.0261645269999917
loss: 3603.876568020324 rmse: 0.008907962321732686 rre: 0.2817282678344621 time: 1.4674303809999856
Warning: The loss function increased!
loss: 137018.18855078178 rmse: 0.05492657616184764 rre: 1.737139044964559 time: 3.7956302489999985
Warning: The loss function increased!
loss: 5.956915048677534e+136 rmse: 3.6216303478914056e+64 rre: 1.1453973510405517e+66 time: 102.93422803700003
Warning: The loss function increased!
rre_diff: -1.1453973510405517e+66

step: 3
loss: 77053.75014095036 rmse: 0.041189859212974 rre: 1.3026938450452905 time: 1.691119690999983
loss: 2026131.7486011814 rmse: 0.21121621621553915 rre: 6.680043828629335 time: 1.3675502060000326
Warning: The loss function increased!
loss: 30108371.85166244 rmse: 0.8142111641146135 rre: 25.75070399184997 time: 3.852158255000006
Warning: The loss function increased!
loss: 45405.56225718068 rmse: 0.0316189865866311 rre: 0.9999999999999984 time: 102.11105192899998
rre_diff: 1.1453973510405517e+66

step: 4
loss: 7877.65840884149 rmse: 0.013170188469044821 rre: 0.41652784895431527 time: 1.6931714419999935
loss: 1664.906524667314 rmse: 0.006054640268915393 rre: 0.19148748655579492 time: 1.3726992690000088
loss: 4338.1315871528295 rmse: 0.009773379842980155 rre: 0.3090984531146373 time: 3.781258493999985
Warning: The loss function increased!
loss: nan rmse: nan rre: nan time: 102.32625432900005
rre_diff: nan

