//clika-runtime/io.clika.runtime/Ops/groupNorm

groupNorm

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

groupNorm(input: Tensor, numGroups: Long, weight: Tensor? = null, bias: Tensor? = null, runningMean: Tensor? = null, runningVar: Tensor? = null, eps: Double? = null, activation: Activation? = null): the group_norm operator. Group normalization: channels split into num_groups groups, normalized per group (channels-last). Statistics are computed per (sample, group) over the group's channels and the spatial dims; with running_mean / running_var present they are folded per channel instead (batch-norm style). Optional fused activation applies to the result.