###################################
2022-05-23 22:05:22.244204
Namespace(data='coil', algorithm='ALS-RS', rank='16,4,4,2', seed=0, alpha=1.0, max_num_samples=4096, 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=4096, max_num_steps=5, rre_gap_tol=0.0, verbose=False)
step: 0
loss: 19607980.599831164 rmse: 0.2353854364395869 rre: 0.6797155633231141 time: 2.147350263
loss: 14912564.477227125 rmse: 0.2052765414512188 rre: 0.5927709977305536 time: 3.0256024580000016
loss: 8287006.013019858 rmse: 0.15302485679974126 rre: 0.4418853532969983 time: 6.790141724999998
loss: 8183689.801839416 rmse: 0.15206796509212345 rre: 0.4391221654128167 time: 2.3909957010000014
loss: 7773620.8923981935 rmse: 0.14820908744627254 rre: 0.4279789985605305 time: 0.19610125099999465
rre_diff: 61.45978467211012

step: 1
loss: 6231295.561511211 rmse: 0.1326943191164426 rre: 0.3831774609010647 time: 2.154508591999999
loss: 6162401.291872475 rmse: 0.13195873473338915 rre: 0.3810533356329018 time: 3.0195122120000093
loss: 5990571.618962163 rmse: 0.13010598862974268 rre: 0.37570321550404684 time: 6.9104452129999885
loss: 5965961.497224031 rmse: 0.12983846662305276 rre: 0.3749307001172453 time: 2.459669072000011
loss: 6545354.975458548 rmse: 0.1359971343037588 rre: 0.3927149026372909 time: 0.20426280499999905
Warning: The loss function increased!
rre_diff: 0.03526409592323959

step: 2
loss: 5652934.25370693 rmse: 0.12638633552597464 rre: 0.3649620832443916 time: 2.165348399999999
loss: 5633721.09423556 rmse: 0.1261713721520127 rre: 0.3643413398669062 time: 3.031955773000007
loss: 5596710.021846498 rmse: 0.12575624398557084 rre: 0.3631425865380156 time: 6.781710144000002
loss: 5586883.175911136 rmse: 0.12564579247355262 rre: 0.36282363897334496 time: 2.419628104999987
loss: 6158555.220598351 rmse: 0.13191754933435898 rre: 0.3809344057741735 time: 0.18787168000000065
Warning: The loss function increased!
rre_diff: 0.01178049686311744

step: 3
loss: 5496125.237417066 rmse: 0.1246210668674871 rre: 0.3598645691467917 time: 2.1523880830000053
loss: 5489020.028544452 rmse: 0.12454048782044776 rre: 0.3596318834157675 time: 3.073065756999995
loss: 5472862.321702949 rmse: 0.12435705145755321 rre: 0.3591021796557356 time: 6.851531539000007
loss: 5465453.863666884 rmse: 0.1242728536524001 rre: 0.35885904414393044 time: 2.4650679350000075
loss: 5949195.327773053 rmse: 0.12965589543815695 rre: 0.3744034947061328 time: 0.19787452899998925
Warning: The loss function increased!
rre_diff: 0.006530911068040657

step: 4
loss: 5421120.740641609 rmse: 0.12376780669777049 rre: 0.35740063498972263 time: 2.144138182000006
loss: 5415983.69311002 rmse: 0.123709151686306 rre: 0.35723125864782845 time: 3.077197221000006
loss: 5402238.854630294 rmse: 0.12355207565146835 rre: 0.35677767482752426 time: 6.777652395000018
loss: 5397928.285944236 rmse: 0.12350277331548387 rre: 0.3566353059300099 time: 2.3838442800000053
loss: 6041645.49239371 rmse: 0.1306594344362186 rre: 0.37730138459134355 time: 0.18723480700001005
Warning: The loss function increased!
rre_diff: -0.002897889885210725

