Flux provides several different normalization “models” to model normalization layers. Which one of them corresponds to the PyTorch’s nn.BatchNorm1d?
Flux.BatchNorm  can be used in place of  nn.BatchNorm1d, nn.BatchNorm2d, nn.BatchNorm3d
But PyTorch has an affine:bool keyword option in its nn.BatchNorm1d. As far as I can tell, Flux.BatchNorm doesn’t have that option. Is it implicitly true in Flux?
was just not documented up to a few days ago https://github.com/FluxML/Flux.jl/pull/1729
Ah nice. Thanks!