Arg<TF_Float32Tensor, [{A 1D Tensor for offset, to shift to the normalized x.}]>:$offset,
    Arg<TF_Float32Tensor, [{A 1D Tensor for population mean. Used for inference only;
must be empty for training.}]>:$mean,
    Arg<TF_Float32Tensor, [{A 1D Tensor for population variance. Used for inference only;
must be empty for training.}]>:$variance,

    DefaultValuedOptionalAttr<F32Attr, "0.0001f">:$epsilon,

                    + classLoadingStrategy + "'. Supported values are: " + STRATEGY_PARENT_FIRST
                    + ", " + STRATEGY_PLUGIN + " and " + STRATEGY_SELF_FIRST);
        }
        log.debug("Populating class realm {}", realm.getId());
        for (Artifact artifact : artifacts) {
            String id = artifact.getGroupId() + ":" + artifact.getArtifactId();
            if (providedArtifacts.contains(id)) {

	dependGlobalLockServer          bool
	dependGlobalIsDistErasure       bool
	dependGlobalBackgroundHealState bool
	dependBucketTargetSys           bool
}

// RegisterRead register the metrics populator function to be used
// to populate new values upon cache invalidation.
func (g *MetricsGroupV2) RegisterRead(read func(context.Context) []MetricV2) {
	g.metricsCache = cachevalue.NewFromFunc(g.cacheInterval,