//clika-runtime/io.clika.runtime/Ops/batchNorm

batchNorm

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

batchNorm(input: Tensor, weight: Tensor? = null, bias: Tensor? = null, runningMean: Tensor? = null, runningVar: Tensor? = null, eps: Double? = null, activation: Activation? = null): the batch_norm operator. Per-channel batch normalization (inference form), channels-last. input is [N, *spatial, C]; every operand is per-channel [C]. The supplied running_mean / running_var ARE the statistics (inference only; no training mode, no momentum). Optional fused activation applies to the result.