reg_best does not converge

[snutesh]

I tried to use pretrained backdoor model on CIFAR10 dataset. But during visualization none of values among cost, attack, loss, ce, reg, reg_best gets updated.
Here is the snapshot:

loading dataset
X_test shape (50, 32, 32, 3)
Y_test shape (50, 10)
loading model
processing label 7
resetting state
('mask_tanh', -3.672258450327029, 3.5073656483843307)
('pattern_tanh', -3.9436355297972994, 4.010161127999756)
step: 0, cost: 0.00E+00, attack: 0.000, loss: 16.118097, ce: 16.118097, reg: 528.047913, reg_best: inf
step: 1, cost: 0.00E+00, attack: 0.000, loss: 16.118097, ce: 16.118097, reg: 547.919495, reg_best: inf
step: 2, cost: 0.00E+00, attack: 0.000, loss: 16.118097, ce: 16.118097, reg: 548.243958, reg_best: inf
step: 3, cost: 0.00E+00, attack: 0.000, loss: 16.118097, ce: 16.118097, reg: 548.243958, reg_best: inf
step: 4, cost: 0.00E+00, attack: 0.000, loss: 16.118097, ce: 16.118097, reg: 548.243958, reg_best: inf
down cost from 0.00E+00 to 0.00E+00
step: 5, cost: 0.00E+00, attack: 0.000, loss: 16.118097, ce: 16.118097, reg: 548.243958, reg_best: inf
step: 6, cost: 0.00E+00, attack: 0.000, loss: 16.118097, ce: 16.118097, reg: 548.243958, reg_best: inf
step: 7, cost: 0.00E+00, attack: 0.000, loss: 16.118097, ce: 16.118097, reg: 548.243958, reg_best: inf
step: 8, cost: 0.00E+00, attack: 0.000, loss: 16.118097, ce: 16.118097, reg: 548.243958, reg_best: inf
step: 9, cost: 0.00E+00, attack: 0.000, loss: 16.118097, ce: 16.118097, reg: 548.243958, reg_best: inf
down cost from 0.00E+00 to 0.00E+00
step: 10, cost: 0.00E+00, attack: 0.000, loss: 16.118097, ce: 16.118097, reg: 548.243958, reg_best: inf