Hello,
recently, I tried to implement the batchnorm 2d layer with the scale layer.
the scale layer is doing like below
y = (scale * x + shift)^power
The batchnorm2d layer consists of two consecutive scale layers as I know.

nomalization(zero mean and unit variance)
hat(x) = (xE[x]) / sqrt(Var[X] + eps) 
affine transformation.
y = gamma * hat(x) + beta
I found the batchnorm2d has four parameters. running_mean, running_var, weight, bias.
So…I implemented like below

the first layer do normalization
scale = 1 / sqrt(running_var+eps)
shift = running_mean * 1.0
power = 1.0 
and second layer do the affine transformation
scale = weights
shift = bias
power = 1.0
I think it looks well but I got the wrong values from my implementation.
So, I want to know how to operate the batchnorm2d in evaluation mode.
Where can I find?