Hello, The following content is directly copied from https://pytorch.org/docs/stable/nn.html 25

By default, during training this layer keeps running estimates of its computed mean and variance, which are then used for normalization during evaluation. The running estimates are kept with a default  momentum  of 0.1.
If  track_running_stats  is set to  False , this layer then does not keep running estimates, and batch statistics are instead used during evaluation time as well.

So does it mean BＮ in train mode still uses runnning stats?? Thanks~