I want to implement instance normalization
I am writing a metal cnn code.
Metal provides MPSCNNLocalContrastNormalization,
Since the concept of Instance Normalization is slightly different, I intend to implement it as a Kernel Function.
However, the problem is that the mean and variance for each R, G, B should be obtained when feature is R, G, B in texture received from input in kernel function.
I want to get some hints on how to implement this.