private boolean shouldTransform(ReferenceNode feature, RankProfileTransformContext context) {
        if (context.rankProfile().getFunctions().containsKey(feature.getName()))
            return false;
        if (feature.getArguments().size() < 2)
            return false;
        return true;
    }
Transforms a feature of the form

    tokenAttentionMask(128, a, b, ...)

to an expression that generates a tensor that has values 1 for all
arguments (including CLS and SEP tokens) and 0 for the rest of the
sequence.

Concretely, transforms to a tensor generation expression:

    tensor(d0[1],d1[128])(if(d1 < 1 + length_a + 1 + length_b + 1 + ..., 1, 0))
config-model/src/main/java/com/yahoo/schema/expressiontransforms/TokenTransformer.java