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2022-05-18 20:18:09.459066
Namespace(data='hyperspectral', algorithm='ALS-DJSSW19', rank='16,16,16', seed=0, alpha=1.0, max_num_samples=4096, 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-DJSSW19', random_seed=0, epsilon=0.1, delta=0.01, downsampling_ratio=1.0, max_num_samples=4096, max_num_steps=5, rre_gap_tol=0.0, verbose=False)
step: 0
loss: 6571.69306755206 rmse: 0.012029070025868954 rre: 0.38043818997522755 time: 1.531608725
loss: 4436.764385514802 rmse: 0.009883860346620156 rre: 0.31259257217304864 time: 1.1973077740000004
loss: 2376.7347050552225 rmse: 0.007234087729922461 rre: 0.22878936078808773 time: 1.2560842460000003
loss: 1423514.9465732153 rmse: 0.17704123608436786 rre: 5.599206527359824 time: 991.654921476
Warning: The loss function increased!
rre_diff: 8545.299699978506

step: 1
loss: 31147.454609175747 rmse: 0.026188142666631758 rre: 0.8282410505118588 time: 1.5376226590000215
loss: 3909.520542687342 rmse: 0.009278017068117102 rre: 0.2934318290909408 time: 1.1987035010000682
loss: 2682.842972467743 rmse: 0.007685834781195358 rre: 0.24307656920430878 time: 1.2569672329999548
loss: 403838.26683013595 rmse: 0.09429684278031632 rre: 2.982285422777782 time: 988.3040729879999
Warning: The loss function increased!
rre_diff: 2.6169211045820417

step: 2
loss: 18003.78615251682 rmse: 0.01991018705760932 rre: 0.6296908663741791 time: 1.532305236999946
loss: 67235.07544744486 rmse: 0.0384761284261234 rre: 1.2168678563022486 time: 1.2006582720000551
Warning: The loss function increased!
loss: 14660.610832190403 rmse: 0.017966746910317074 rre: 0.568226526207314 time: 1.2752084349999677
loss: 4818.672532737102 rmse: 0.010300471958414657 rre: 0.3257685672560362 time: 967.9011838980002
rre_diff: 2.6565168555217458

step: 3
loss: 54952.86885217794 rmse: 0.03478472725090814 rre: 1.1001215094482346 time: 1.602751471999909
Warning: The loss function increased!
loss: 8715.704300844473 rmse: 0.013853026375699105 rre: 0.4381236678077568 time: 1.1873072319999665
loss: 2792.5556445158136 rmse: 0.007841413123683628 rre: 0.24799697808781326 time: 1.2552472900001703
loss: 7203.457169849081 rmse: 0.01259400630911836 rre: 0.39830518522827174 time: 965.5142887289999
Warning: The loss function increased!
rre_diff: -0.07253661797223554

step: 4
loss: 50956.45257231374 rmse: 0.03349600482679599 rre: 1.0593636432661147 time: 1.5196496839998872
Warning: The loss function increased!
loss: 4307.958035153841 rmse: 0.009739331525791945 rre: 0.3080216217274288 time: 1.1866264499999488
loss: 39849.001018048984 rmse: 0.029621165088354794 rre: 0.9368157643888226 time: 1.2475308630000654
Warning: The loss function increased!
loss: 3604.2808209850323 rmse: 0.008908461918365815 rre: 0.2817440683608882 time: 971.1273562430001
rre_diff: 0.11656111686738352

