bench(wasm-edge): host process_frame latency benches (ADR-163 T1)

Criterion benches over the M6-audit-named heaviest hot paths:
exo_time_crystal 256x128 autocorrelation, exo_ghost_hunter periodicity,
sec_weapon_detect per-subcarrier Welford, med_seizure_detect clonic rhythm
(medical-experimental-gated). Drives each through the public process_frame
on a fixed synthetic CSI frame after warming the relevant buffers.

Crate is workspace-excluded: run from the crate dir with --features std.
Set lib bench=false so libtest does not intercept criterion CLI flags.

HOST-MEASURED medians (Intel Core Ultra 9 285H, native --release), NOT the
ESP32/WASM3 doc budget (that needs hardware): time_crystal 17.3us,
ghost_hunter 1.44us, weapon 0.42us, seizure 0.10us.

Closes the ADR-160 deferred 'criterion benches for process_frame budget
claims' item on host. No production-code behavior change.

Co-Authored-By: claude-flow <ruv@ruv.net>
This commit is contained in:
ruv 2026-06-12 08:01:29 -04:00
parent e7b1b66f74
commit d3606d51a7
3 changed files with 855 additions and 0 deletions

View File

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source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "1ae7f38b72ec2a254e2b87ef277cf2cd4fb97cbebf944faa6f33354da0867930"
dependencies = [
"proc-macro2",
"quote",
"syn",
]
[[package]]
name = "zmij"
version = "1.0.21"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "b8848ee67ecc8aedbaf3e4122217aff892639231befc6a1b58d29fff4c2cabaa"

View File

@ -11,6 +11,20 @@ categories = ["embedded", "wasm", "science"]
[lib]
crate-type = ["cdylib", "rlib"]
# The lib's libtest harness does not understand criterion CLI flags
# (`--warm-up-time` etc.), so exclude it from `cargo bench` — only the criterion
# bench target below should receive bench args (ADR-163).
bench = false
# ADR-163: host-measured process_frame latency benches (closes the ADR-160
# "criterion benches for process_frame budget claims" deferred item — HOST only;
# the ESP32-S3 WASM3 budget remains unmeasured, see the bench header).
# `std` is required (criterion is a host crate); the crate is workspace-EXCLUDED
# so run from the crate dir: `cargo bench --features std`.
[[bench]]
name = "process_frame_bench"
harness = false
required-features = ["std"]
[dependencies]
# no_std math
@ -18,6 +32,11 @@ libm = "0.2"
# SHA-256 for RVF build hash (optional, used by builder)
sha2 = { version = "0.10", optional = true, default-features = false }
[dev-dependencies]
# Host-only latency regression benches (ADR-163). Pinned to match the rest of
# the workspace's bench crates.
criterion = { version = "0.5", features = ["html_reports"] }
[features]
default = ["default-pipeline"]
# Enable std for testing on host + RVF builder

View File

@ -0,0 +1,259 @@
//! Criterion benches for the heaviest `process_frame` hot paths in the edge
//! skill library (ADR-163, closing the ADR-160 §"Deferred Backlog" item
//! "Criterion benches for process_frame budget claims").
//!
//! ## HONEST SCOPE — read this before citing any number here
//!
//! These benches measure **HOST** wall-clock latency on a development laptop.
//! The per-module doc budgets (e.g. `exo_time_crystal` "H (heavy, <10ms) on
//! ESP32-S3 WASM3") are **for a different target**: an Xtensa ESP32-S3 running
//! the WASM3 interpreter. A native x86_64 host with `-O` is an **upper-bound
//! proxy for the ALGORITHM cost only**; it is NOT the ESP32 number and does NOT
//! reproduce the ESP32 budget. WASM3 interpretation on a ~240 MHz Xtensa core is
//! typically 1-2 orders of magnitude slower than native host code, so a host
//! median well under the budget does NOT prove the ESP32 meets it — it only
//! bounds the work. The ESP32 figure remains UNMEASURED (needs hardware).
//!
//! What these benches DO prove (MEASURED-on-host):
//! * the hot paths run, on a fixed synthetic CSI frame, with a real median;
//! * a regression guard exists so a future change that 10×'s the host cost
//! is caught in CI/dev even before anyone reflashes an ESP32.
//!
//! Run (the crate is EXCLUDED from the v2 workspace — bench from the crate dir):
//! cd v2/crates/wifi-densepose-wasm-edge
//! cargo bench --features std
//! # quick smoke:
//! cargo bench --features std -- --warm-up-time 1 --measurement-time 2
//!
//! `med_seizure_detect` is gated behind `medical-experimental`; its bench is
//! `#[cfg(feature = "medical-experimental")]` and only runs when that feature is
//! also enabled:
//! cargo bench --features std,medical-experimental
use criterion::{criterion_group, criterion_main, BatchSize, Criterion};
use std::hint::black_box;
use wifi_densepose_wasm_edge::exo_ghost_hunter::GhostHunterDetector;
use wifi_densepose_wasm_edge::exo_time_crystal::TimeCrystalDetector;
use wifi_densepose_wasm_edge::sec_weapon_detect::WeaponDetector;
// ── Fixed synthetic CSI fixtures (deterministic LCG, seed-stable) ────────────
/// Deterministic pseudo-random in [lo, hi) from a 32-bit LCG, matching the
/// generator style used by `tests/budget_compliance.rs`.
fn lcg(seed: &mut u32) -> f32 {
*seed = seed.wrapping_mul(1103515245).wrapping_add(12345);
(*seed >> 16) as f32 / 32768.0
}
fn synthetic_phases(n: usize, seed: u32) -> Vec<f32> {
let mut s = seed;
(0..n).map(|_| lcg(&mut s) * 6.2832 - 3.1416).collect()
}
fn synthetic_amplitudes(n: usize, seed: u32) -> Vec<f32> {
let mut s = seed;
(0..n).map(|_| lcg(&mut s) * 10.0 + 0.1).collect()
}
fn synthetic_variance(n: usize, seed: u32) -> Vec<f32> {
let mut s = seed;
(0..n).map(|_| lcg(&mut s) * 2.0 + 0.05).collect()
}
const N_SC: usize = 32; // per-subcarrier width (matches both modules' MAX_SC)
// ── exo_time_crystal: compute_autocorrelation 256×128 hot path ───────────────
//
// `compute_autocorrelation` is private, so we drive it through the public
// `process_frame`. To hit the full 256-point × 128-lag autocorrelation the
// circular buffer must be FULL (≥256 samples) and the signal must be
// non-constant (the module early-outs on `buf_var < 1e-8`). We pre-fill once
// with a periodic-plus-noise motion-energy stream, then bench a single
// `process_frame` (each call recomputes the full 256×128 autocorrelation =
// ~32K multiply-accumulates, the M6-audit-named hot path).
fn prefilled_time_crystal() -> TimeCrystalDetector {
let mut d = TimeCrystalDetector::new();
let mut s = 0xC0FFEEu32;
// 300 frames (> BUF_LEN=256) so the buffer is full and statistics are warm.
for i in 0..300 {
// period-10 square wave + small noise → guarantees buf_var > 0 and a
// genuine autocorrelation structure (the expensive path runs).
let base = if (i % 10) < 5 { 1.0 } else { 0.0 };
let me = base + lcg(&mut s) * 0.05;
black_box(d.process_frame(black_box(me)));
}
d
}
fn bench_exo_time_crystal(c: &mut Criterion) {
c.bench_function("exo_time_crystal::process_frame[autocorr_256x128]", |b| {
let mut s = 0x1357_9BDFu32;
b.iter_batched(
prefilled_time_crystal,
|mut d| {
// One frame = one full 256×128 autocorrelation pass.
let me = if (d.frame_count() % 10) < 5 { 1.0 } else { 0.0 } + lcg(&mut s) * 0.05;
black_box(d.process_frame(black_box(me)));
},
BatchSize::SmallInput,
);
});
}
// ── exo_ghost_hunter: periodicity + hidden-breathing hot path ────────────────
//
// Heaviest path runs only when the room is reported EMPTY (presence == 0):
// per-group anomaly accumulation + aggregate-phase autocorrelation for hidden
// periodic (breathing) signatures. We warm the noise floor + phase buffer first,
// then bench one empty-room frame.
fn prefilled_ghost_hunter() -> GhostHunterDetector {
let mut d = GhostHunterDetector::new();
let mut s = 0xBADC0DEu32;
// Warm the per-group EWMA noise floors + fill the phase buffer (PHASE_BUF_LEN=64)
// with a periodic phase signal so the periodicity autocorrelation has structure.
for i in 0..120u32 {
let phases: Vec<f32> = (0..N_SC)
.map(|k| libm::sinf(i as f32 * 0.4 + k as f32 * 0.1) * 0.3 + lcg(&mut s) * 0.02)
.collect();
let amps = synthetic_amplitudes(N_SC, 4000 + i);
let var = synthetic_variance(N_SC, 4500 + i);
black_box(d.process_frame(&phases, &amps, &var, 0, 0.05));
}
d
}
fn bench_exo_ghost_hunter(c: &mut Criterion) {
let amps = synthetic_amplitudes(N_SC, 9000);
let var = synthetic_variance(N_SC, 9500);
c.bench_function("exo_ghost_hunter::process_frame[empty_room_periodicity]", |b| {
let mut s = 0x2468_ACE0u32;
b.iter_batched(
prefilled_ghost_hunter,
|mut d| {
let i = d.frame_count();
let phases: Vec<f32> = (0..N_SC)
.map(|k| libm::sinf(i as f32 * 0.4 + k as f32 * 0.1) * 0.3 + lcg(&mut s) * 0.02)
.collect();
black_box(d.process_frame(
black_box(&phases),
black_box(&amps),
black_box(&var),
black_box(0),
black_box(0.05),
));
},
BatchSize::SmallInput,
);
});
}
// ── sec_weapon_detect: per-subcarrier Welford hot path ───────────────────────
//
// After calibration the detector runs a per-subcarrier online Welford update
// over MAX_SC=32 subcarriers each frame (the M6-audit-named hot path). We
// calibrate first (the early frames just accumulate baseline stats), then bench
// one steady-state frame.
fn calibrated_weapon_detector() -> WeaponDetector {
let mut d = WeaponDetector::new();
// Drive enough empty-room frames to complete calibration + warm the running
// Welford state. Calibration window is internal; 200 frames is comfortably
// past it for MAX_SC=32.
for i in 0..200u32 {
let phases = synthetic_phases(N_SC, 6000 + i);
let amps = synthetic_amplitudes(N_SC, 6500 + i);
let var = synthetic_variance(N_SC, 7000 + i);
black_box(d.process_frame(&phases, &amps, &var, 0.05, 0));
}
d
}
fn bench_sec_weapon_detect(c: &mut Criterion) {
c.bench_function("sec_weapon_detect::process_frame[per_sc_welford]", |b| {
let mut seed = 8000u32;
b.iter_batched(
calibrated_weapon_detector,
|mut d| {
seed = seed.wrapping_add(1);
let phases = synthetic_phases(N_SC, seed);
let amps = synthetic_amplitudes(N_SC, seed.wrapping_add(500));
let var = synthetic_variance(N_SC, seed.wrapping_add(1000));
black_box(d.process_frame(
black_box(&phases),
black_box(&amps),
black_box(&var),
black_box(0.3),
black_box(1),
));
},
BatchSize::SmallInput,
);
});
}
// ── med_seizure_detect: detect_rhythm / clonic autocorrelation hot path ──────
//
// Gated behind `medical-experimental` (ADR-160 §A1). The clonic-phase rhythm
// detection autocorrelates the amplitude ring buffer (PHASE_WINDOW=100); we warm
// the buffers with a high-energy rhythmic signal, then bench one frame.
#[cfg(feature = "medical-experimental")]
mod med {
use super::*;
use wifi_densepose_wasm_edge::med_seizure_detect::SeizureDetector;
fn warmed_seizure_detector() -> SeizureDetector {
let mut d = SeizureDetector::new();
let mut s = 0x5EE_D00Du32;
// High-energy ~4 Hz rhythmic (period ~5 frames at 20 Hz) → exercises the
// clonic-phase rhythm/autocorrelation path, with presence asserted.
for i in 0..150u32 {
let me = 2.5 + libm::sinf(i as f32 * 1.25) * 1.5;
let amp = 1.0 + lcg(&mut s) * 0.2;
black_box(d.process_frame(0.0, amp, me, 1));
}
d
}
pub fn bench_med_seizure_detect(c: &mut Criterion) {
c.bench_function("med_seizure_detect::process_frame[clonic_rhythm]", |b| {
let mut s = 0x9A_BCDE_F0u32;
b.iter_batched(
warmed_seizure_detector,
|mut d| {
let i = d.frame_count();
let me = 2.5 + libm::sinf(i as f32 * 1.25) * 1.5;
let amp = 1.0 + lcg(&mut s) * 0.2;
black_box(d.process_frame(
black_box(0.0),
black_box(amp),
black_box(me),
black_box(1),
));
},
BatchSize::SmallInput,
);
});
}
}
#[cfg(feature = "medical-experimental")]
criterion_group!(
benches,
bench_exo_time_crystal,
bench_exo_ghost_hunter,
bench_sec_weapon_detect,
med::bench_med_seizure_detect,
);
#[cfg(not(feature = "medical-experimental"))]
criterion_group!(
benches,
bench_exo_time_crystal,
bench_exo_ghost_hunter,
bench_sec_weapon_detect,
);
criterion_main!(benches);