If I don't want to use terngrad,does setting FLAGS.floating_grad_epoch=1 is all I need to do?

[woskii]

When I ran cifar10_alexnet on cifar10 dataset, I used terngrad and set FLAGS.floating_grad_epoch=0 (leave other arguments default), achieved top_1=86.04 after 300000 steps.
And then I want to see original accuracy without terngrad and set FLAGS.floating_grad_epoch=1,but I got top_1=85.64 after 300000 steps, which is not consistent with results in paper. I want to make sure that I used in a correct way.

By the way, if I want to test it on other models like densenet, what arguments should I modified? (weight decay? base lr?)