//clika-runtime/io.clika.runtime/Ops/instanceNorm

instanceNorm

[common]
fun instanceNorm(input: Tensor, weight: Tensor? = null, bias: Tensor? = null, runningMean: Tensor? = null, runningVar: Tensor? = null, eps: Double? = null, activation: Activation? = null): Tensor

instanceNorm(input: Tensor, weight: Tensor? = null, bias: Tensor? = null, runningMean: Tensor? = null, runningVar: Tensor? = null, eps: Double? = null, activation: Activation? = null): the instance_norm operator. Instance normalization: statistics per (sample, channel) over the spatial dims (channels-last). With running_mean / running_var present they are folded instead of computing per-instance statistics (inference form; no training mode). Optional fused activation applies to the result.