I require the BatchNorm Layers in pytorch to used unbiased variance estimates, without the bessel correction (‘n-1’ term in denominator of variance calculation)
Unbiased estimates give different results if you scale up the number of elements and I do not want that, check my other post 6 why I need it if you want more information.
Any idea of how it can be done or will I have to make my custom batchnorm for my case?