That’s right!
During training, I want the bn layer to use batch mean/var, while running_mean  and  running_var is trained like common model parameters. During evaluation, I want the trained running_mean  and  running_var to be used like common running_mean  and  running_var in common bn layer.
Is there any way to do so?