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2022-05-23 22:09:27.920086
Namespace(data='coil', algorithm='ALS-RS', rank='16,4,4,2', seed=0, alpha=1.0, max_num_samples=16384, max_num_steps=5, rre_gap_tol=0.0, verbose=False)
Loading COIL-100 tensor...
Finished.
AlgorithmConfig(input_shape=(7200, 128, 128, 3), rank=(16, 4, 4, 2), 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: 19607980.599831164 rmse: 0.2353854364395869 rre: 0.6797155633231141 time: 2.144103643000001
loss: 14912564.477227125 rmse: 0.2052765414512188 rre: 0.5927709977305536 time: 3.0636456269999996
loss: 8287006.013019858 rmse: 0.15302485679974126 rre: 0.4418853532969983 time: 6.809476003
loss: 8183689.801839416 rmse: 0.15206796509212345 rre: 0.4391221654128167 time: 2.430807306999995
loss: 7044243.860152701 rmse: 0.14108483865238858 rre: 0.407406516016855 time: 0.4394856090000019
rre_diff: 61.480357154653795

step: 1
loss: 5946320.300705503 rmse: 0.12962456269187766 rre: 0.37431301606136264 time: 2.1761456450000054
loss: 5870636.625230453 rmse: 0.12879700215554418 rre: 0.3719232939755518 time: 3.0398194950000033
loss: 5707223.176312592 rmse: 0.12699177180983398 rre: 0.36671038369561904 time: 6.7631510019999865
loss: 5688386.632058651 rmse: 0.12678203205774202 rre: 0.3661047244165199 time: 2.405105888999998
loss: 5615996.85068116 rmse: 0.12597274199589556 rre: 0.36376776143953915 time: 0.4377886289999964
rre_diff: 0.043638754577315864

step: 2
loss: 5391279.545094979 rmse: 0.1234266894088951 rre: 0.3564156006831219 time: 2.1530521170000014
loss: 5381148.860151307 rmse: 0.12331067011817265 rre: 0.3560805752085531 time: 3.0523463789999994
loss: 5340050.679597065 rmse: 0.1228388788911232 rre: 0.3547181976353461 time: 6.747970634000012
loss: 5337785.636016254 rmse: 0.12281282437017907 rre: 0.35464296076577373 time: 2.405050219000003
loss: 5402261.030277109 rmse: 0.12355232923562623 rre: 0.35677840709499725 time: 0.4370007489999921
Warning: The loss function increased!
rre_diff: 0.006989354344541898

step: 3
loss: 5277600.806365501 rmse: 0.12211848940939159 rre: 0.3526379502343438 time: 2.1586595540000246
loss: 5272893.571757463 rmse: 0.1220640168718852 rre: 0.3524806514988025 time: 3.0582502299999987
loss: 5264973.360100961 rmse: 0.12197230857670145 rre: 0.3522158281670573 time: 6.762588740000012
loss: 5264005.530961234 rmse: 0.12196109733478828 rre: 0.35218345379535515 time: 2.431622282999996
loss: 5363315.566178191 rmse: 0.12310617286019578 rre: 0.3554900545246642 time: 0.4398254489999829
Warning: The loss function increased!
rre_diff: 0.0012883525703330512

step: 4
loss: 5240090.707461286 rmse: 0.12168374216059871 rre: 0.3513825434615791 time: 2.143460305000019
loss: 5236998.591280271 rmse: 0.12164783478683482 rre: 0.3512788548003155 time: 2.9890795250000224
loss: 5234502.37730724 rmse: 0.12161883962738756 rre: 0.3511951263359065 time: 6.752510371
loss: 5233941.657531349 rmse: 0.12161232554926518 rre: 0.35117631582516523 time: 2.4017800000000022
loss: 5357272.890671404 rmse: 0.1230368034287457 rre: 0.35528973846905476 time: 0.4565562329999864
Warning: The loss function increased!
rre_diff: 0.00020031605560943966

