I want to kown the bn layer how to calculate the output. I debug the code in
I fix the input, that I only change
return F.batch_norm( input, self.running_mean, self.running_var, self.weight, self.bias, self.training or not self.track_running_stats, exponential_average_factor, self.eps) ```, the other parameter is same. But the output is different. I think if `self.training` is True, the bn layer will change `running_mean` and `running_var`, and use in the next batch. Whether bn layer use changed `running_mean` and `running_var` in this batch?