pub fn tier_of(stem: &str) -> u8 {
const TIER1: &[&str] = &[
"softmax-kernel-v1",
"rmsnorm-kernel-v1",
"rope-kernel-v1",
"silu-kernel-v1",
"swiglu-kernel-v1",
"gelu-kernel-v1",
"layernorm-kernel-v1",
"batchnorm-kernel-v1",
"embedding-lookup-v1",
"cross-entropy-kernel-v1",
"linear-projection-v1",
"dropout-v1",
"activation-kernel-v1",
"bias-add-v1",
"transpose-kernel-v1",
];
const TIER2: &[&str] = &[
"attention-kernel-v1",
"gqa-kernel-v1",
"matmul-kernel-v1",
"flash-attention-v1",
"sliding-window-attention-v1",
"qk-norm-v1",
"attention-scaling-v1",
"bidirectional-attention-v1",
];
const TIER3: &[&str] = &[
"kv-cache-equivalence-v1",
"kv-cache-sizing-v1",
"sampling-algorithms-v1",
"inference-pipeline-v1",
"streaming-tpot-v1",
"backend-dispatch-v1",
"conversation-generation-v1",
"safetensors-cpu-dispatch-v1",
"safetensors-header-v1",
"weight-loading-v1",
"validated-tensor-v1",
];
const TIER4: &[&str] = &[
"adamw-kernel-v1",
"loss-functions-v1",
"lora-algebra-v1",
"classification-finetune-v1",
"optimization-v1",
"lbfgs-kernel-v1",
"cmaes-kernel-v1",
"gradient-clipping-v1",
"learning-rate-scheduling-v1",
];
const TIER5: &[&str] = &[
"kmeans-kernel-v1",
"pagerank-kernel-v1",
"pca-v1",
"svm-v1",
"decision-tree-v1",
"random-forest-v1",
"naive-bayes-v1",
"gbm-v1",
"arima-v1",
"bayesian-v1",
"calibration-v1",
"dbscan-v1",
"gaussian-mixture-v1",
"isotonic-regression-v1",
"knn-v1",
"logistic-regression-v1",
"linear-probe-classifier-v1",
"active-learning-v1",
];
const TIER6: &[&str] = &[
"qwen2-shapes-v1",
"qwen2-e2e-verification-v1",
"qwen3-shapes-v1",
"qwen3-e2e-verification-v1",
"qwen3moe-shapes-v1",
"qwen3moe-e2e-verification-v1",
"qwen35-shapes-v1",
"qwen35-hybrid-forward-v1",
];
if TIER1.contains(&stem) {
1
} else if TIER2.contains(&stem) {
2
} else if TIER3.contains(&stem) {
3
} else if TIER4.contains(&stem) {
4
} else if TIER5.contains(&stem) {
5
} else if TIER6.contains(&stem) {
6
} else {
7
}
}
pub fn class_of(stem: &str) -> Option<char> {
const CLASS_A: &[&str] = &[
"gqa-kernel-v1",
"rmsnorm-kernel-v1",
"silu-kernel-v1",
"swiglu-kernel-v1",
"rope-kernel-v1",
];
const CLASS_B: &[&str] = &[
"attention-kernel-v1",
"layernorm-kernel-v1",
"gelu-kernel-v1",
"absolute-position-v1",
"bidirectional-attention-v1",
];
const CLASS_C: &[&str] = &["alibi-kernel-v1"];
const CLASS_D: &[&str] = &[];
const CLASS_E: &[&str] = &[
"qwen2-shapes-v1",
"qwen2-e2e-verification-v1",
"qwen3-shapes-v1",
"qwen3-e2e-verification-v1",
"qwen3moe-shapes-v1",
"qwen3moe-e2e-verification-v1",
"qwen35-shapes-v1",
"qwen35-hybrid-forward-v1",
];
if CLASS_A.contains(&stem) {
Some('A')
} else if CLASS_B.contains(&stem) {
Some('B')
} else if CLASS_C.contains(&stem) {
Some('C')
} else if CLASS_D.contains(&stem) {
Some('D')
} else if CLASS_E.contains(&stem) {
Some('E')
} else {
None
}
}
pub fn classes_of(stem: &str) -> Vec<char> {
let mut result = Vec::new();
if matches!(
stem,
"gqa-kernel-v1"
| "rmsnorm-kernel-v1"
| "silu-kernel-v1"
| "swiglu-kernel-v1"
| "rope-kernel-v1"
) {
result.push('A');
}
if matches!(
stem,
"attention-kernel-v1"
| "layernorm-kernel-v1"
| "gelu-kernel-v1"
| "absolute-position-v1"
| "bidirectional-attention-v1"
) {
result.push('B');
}
if matches!(
stem,
"attention-kernel-v1" | "layernorm-kernel-v1" | "gelu-kernel-v1" | "alibi-kernel-v1"
) {
result.push('C');
}
if matches!(
stem,
"layernorm-kernel-v1" | "gelu-kernel-v1" | "silu-kernel-v1" | "gqa-kernel-v1"
) {
result.push('D');
}
if matches!(
stem,
"rmsnorm-kernel-v1"
| "swiglu-kernel-v1"
| "gqa-kernel-v1"
| "qwen2-shapes-v1"
| "qwen2-e2e-verification-v1"
| "qwen3-shapes-v1"
| "qwen3-e2e-verification-v1"
| "qwen3moe-shapes-v1"
| "qwen3moe-e2e-verification-v1"
| "qwen35-shapes-v1"
| "qwen35-hybrid-forward-v1"
) {
result.push('E');
}
result
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn tier1_foundation() {
assert_eq!(tier_of("softmax-kernel-v1"), 1);
assert_eq!(tier_of("rmsnorm-kernel-v1"), 1);
assert_eq!(tier_of("dropout-v1"), 1);
}
#[test]
fn tier2_composite() {
assert_eq!(tier_of("attention-kernel-v1"), 2);
assert_eq!(tier_of("flash-attention-v1"), 2);
}
#[test]
fn tier3_system() {
assert_eq!(tier_of("kv-cache-equivalence-v1"), 3);
assert_eq!(tier_of("sampling-algorithms-v1"), 3);
}
#[test]
fn tier4_training() {
assert_eq!(tier_of("adamw-kernel-v1"), 4);
assert_eq!(tier_of("lora-algebra-v1"), 4);
}
#[test]
fn tier5_classical() {
assert_eq!(tier_of("kmeans-kernel-v1"), 5);
assert_eq!(tier_of("pagerank-kernel-v1"), 5);
}
#[test]
fn tier6_model_specific() {
assert_eq!(tier_of("qwen2-shapes-v1"), 6);
assert_eq!(tier_of("qwen35-shapes-v1"), 6);
}
#[test]
fn tier7_default() {
assert_eq!(tier_of("some-unknown-contract-v1"), 7);
assert_eq!(tier_of("encoder-forward-v1"), 7);
}
#[test]
fn class_a_llama() {
assert_eq!(class_of("gqa-kernel-v1"), Some('A'));
assert_eq!(class_of("rmsnorm-kernel-v1"), Some('A'));
assert_eq!(class_of("rope-kernel-v1"), Some('A'));
}
#[test]
fn class_b_gpt2() {
assert_eq!(class_of("attention-kernel-v1"), Some('B'));
assert_eq!(class_of("layernorm-kernel-v1"), Some('B'));
}
#[test]
fn class_c_bloom() {
assert_eq!(class_of("alibi-kernel-v1"), Some('C'));
}
#[test]
fn class_e_qwen() {
assert_eq!(class_of("qwen2-shapes-v1"), Some('E'));
assert_eq!(class_of("qwen35-shapes-v1"), Some('E'));
}
#[test]
fn class_none_for_non_arch() {
assert_eq!(class_of("adamw-kernel-v1"), None);
assert_eq!(class_of("kmeans-kernel-v1"), None);
}
#[test]
fn multi_class_membership() {
let classes = classes_of("gqa-kernel-v1");
assert!(classes.contains(&'A'));
assert!(classes.contains(&'D'));
assert!(classes.contains(&'E'));
}
#[test]
fn multi_class_layernorm() {
let classes = classes_of("layernorm-kernel-v1");
assert!(classes.contains(&'B'));
assert!(classes.contains(&'C'));
assert!(classes.contains(&'D'));
}
}