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2022-05-23 20:59:53.102995
Namespace(data='hyperspectral', algorithm='ALS-RS', rank='32,32,8', 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=(32, 32, 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=1024, max_num_steps=5, rre_gap_tol=0.0, verbose=False)
step: 0
loss: 6435.879171259648 rmse: 0.011904121705226919 rre: 0.37648650353203 time: 1.2203951269999997
loss: 4246.5568032822475 rmse: 0.00966967519261881 rre: 0.3058186310344069 time: 0.8897326359999997
loss: 1507.7461098762026 rmse: 0.005761791329298127 rre: 0.18222567992531025 time: 2.0585159379999993
loss: 4.043942050370161e+200 rmse: 2.9839798019631605e+96 rre: 9.43730373453784e+97 time: 2.1749176870000007
Warning: The loss function increased!
rre_diff: -9.43730373453784e+97

step: 1
loss: 40010.90970151615 rmse: 0.029681280299097734 rre: 0.9387170021333732 time: 1.2153105380000007
loss: 2784.871671614425 rmse: 0.007830617508697964 rre: 0.24765554984639618 time: 0.888821772
loss: 2056.1683674152255 rmse: 0.0067285696787039734 rre: 0.21280156023561125 time: 2.0573256670000006
loss: 45405.56225718068 rmse: 0.0316189865866311 rre: 0.9999999999999984 time: 2.1723480839999993
Warning: The loss function increased!
rre_diff: 9.43730373453784e+97

step: 2
loss: 1089.9799900732685 rmse: 0.00489894631172724 rre: 0.15493685410520294 time: 1.2165235350000003
loss: 1372.9296523141004 rmse: 0.005498162353678359 rre: 0.17388800044600547 time: 0.888038753
Warning: The loss function increased!
loss: 1297.3398262974968 rmse: 0.005344662581711149 rre: 0.16903332961249712 time: 2.059872544000001
loss: 1.7675941222932556e+201 rmse: 6.238564818605456e+96 rre: 1.9730438866257618e+98 time: 2.2026722109999994
Warning: The loss function increased!
rre_diff: -1.9730438866257618e+98

step: 3
loss: 40115.646292460544 rmse: 0.029720103264793817 rre: 0.9399448392618566 time: 1.2148439549999992
loss: 18931.232632738782 rmse: 0.02041657382914055 rre: 0.6457061415678926 time: 0.9092221539999983
loss: 5780811.205529979 rmse: 0.35676957449616353 rre: 11.283396876704757 time: 2.0580325760000022
Warning: The loss function increased!
loss: 3359.7814025347407 rmse: 0.008600999616171674 rre: 0.27202009123873283 time: 2.1744756710000033
rre_diff: 1.9730438866257618e+98

step: 4
loss: 1599.5128748712896 rmse: 0.0059345430889394535 rre: 0.18768922503824464 time: 1.2163145230000012
loss: 9718.980156260428 rmse: 0.014628633691337217 rre: 0.4626534645965649 time: 0.9529164619999975
Warning: The loss function increased!
loss: 140623.33050120284 rmse: 0.05564448241608188 rre: 1.7598439552648082 time: 2.056716010999999
Warning: The loss function increased!
loss: 1.9662482801236398e+157 rmse: 6.579798519583387e+74 rre: 2.0809643919344958e+76 time: 2.2107904020000007
Warning: The loss function increased!
rre_diff: -2.0809643919344958e+76

