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Digging into this deeper -- seems like using batch statistics vs running statistics make a fair bit of difference in the convergence of the model. Do you have a good explanation for that? Seems interesting + surprising to me.
Hi --
I noticed that the last
BatchNorm
in WRN is always set tois_training
:https://github.com/google-research/uda/blob/master/image/randaugment/wrn.py#L117
is_training
changes for all of the other BNs. Is this intentional? Does it give some kind of performance advantage?Thanks!
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