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2022-05-23 20:38:10.051512
Namespace(data='hyperspectral', algorithm='ALS-RS', rank='3,3,3', 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=(3, 3, 3), 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: 12908.093745699043 rmse: 0.01685871515188184 rre: 0.5331832854823338 time: 0.646761814
loss: 8777.395166130093 rmse: 0.013901966669667282 rre: 0.4396714812974171 time: 0.30754053899999967
loss: 3219.9857575128826 rmse: 0.008420160944376965 rre: 0.26630078485618197 time: 0.6255756429999995
loss: 3010.034199888914 rmse: 0.008141025824918222 rre: 0.25747269927874084 time: 0.5187413559999987
rre_diff: 62.450987973817114

step: 1
loss: 2766.9141970922756 rmse: 0.007805329892412649 rre: 0.24685578935388228 time: 0.6472652780000008
loss: 2606.2637329535496 rmse: 0.007575348161804648 rre: 0.2395822567256974 time: 0.30589403699999984
loss: 2587.886517595448 rmse: 0.007548593371606744 rre: 0.23873609455903216 time: 0.6258250730000015
loss: 2584.131194254276 rmse: 0.00754311444121296 rre: 0.23856281479945568 time: 0.5187388459999998
rre_diff: 0.018909884479285155

step: 2
loss: 2433.536200758345 rmse: 0.0073200209317043985 rre: 0.23150713295787229 time: 0.6496671089999992
loss: 2358.571615818234 rmse: 0.007206393142745333 rre: 0.22791347606922588 time: 0.30885019500000155
loss: 2355.382385892246 rmse: 0.007201519298964556 rre: 0.22775933312199945 time: 0.6270835380000008
loss: 2370.825695018849 rmse: 0.007225089481438085 rre: 0.22850477707887484 time: 0.5186388209999997
Warning: The loss function increased!
rre_diff: 0.010058037720580837

step: 3
loss: 2306.210219733076 rmse: 0.007125951522670289 rre: 0.2253693837766204 time: 0.6495559350000022
loss: 2288.318997334935 rmse: 0.007098256689828663 rre: 0.22449349128823382 time: 0.3050188210000009
loss: 2279.894491247001 rmse: 0.007085178433149902 rre: 0.22407987092621087 time: 0.6249905779999985
loss: 2313.406115567792 rmse: 0.007137060151732401 rre: 0.22572071157872042 time: 0.5180467100000001
Warning: The loss function increased!
rre_diff: 0.00278406550015442

step: 4
loss: 2278.675805029337 rmse: 0.00708328453772498 rre: 0.22401997351552908 time: 0.6476256240000033
loss: 2270.7554644439997 rmse: 0.0070709635964624155 rre: 0.2236303044403104 time: 0.3072622850000002
loss: 2261.5799708607483 rmse: 0.007056663233658968 rre: 0.22317803305696718 time: 0.626697514
loss: 2314.078773431673 rmse: 0.0071380976804823635 rre: 0.22575352505131926 time: 0.517921801
Warning: The loss function increased!
rre_diff: -3.28134725988416e-05

