use rlx_embed::{Pooling, RlxEmbed};
use rlx_runtime::Device;
use std::path::Path;
use std::time::Instant;
fn main() -> anyhow::Result<()> {
let dir = std::env::var("MINILM_DIR").unwrap_or_else(|_| "/tmp/minilm6".into());
let devname = std::env::var("DEVICE").unwrap_or_else(|_| "cpu".into());
let device = match devname.as_str() {
"metal" => Device::Metal,
"mlx" => Device::Mlx,
"gpu" | "wgpu" => Device::Gpu,
"vulkan" => Device::Vulkan,
"ane" | "coreml" => Device::Ane,
_ => Device::Cpu,
};
let mut model = RlxEmbed::from_dir_on(Path::new(&dir), Pooling::Mean, device)?;
let label = format!("rlx-{devname}");
let seq: usize = std::env::var("SEQ")
.ok()
.and_then(|s| s.parse().ok())
.unwrap_or(128);
let (runs, warmup) = (50usize, 10usize);
println!("framework,batch,p50_ms");
for &b in &[1usize, 4, 8, 16, 32] {
let n = b * seq;
let ids: Vec<f32> = (0..n).map(|i| (i * 131 % 30000) as f32).collect();
let mask = vec![1.0f32; n];
let tt = vec![0.0f32; n];
let pos: Vec<f32> = (0..b).flat_map(|_| (0..seq).map(|i| i as f32)).collect();
let inputs = [
("input_ids", ids.as_slice()),
("attention_mask", mask.as_slice()),
("token_type_ids", tt.as_slice()),
("position_ids", pos.as_slice()),
];
for _ in 0..warmup {
let _ = model.forward(&inputs, b, seq)?;
}
let mut t: Vec<f64> = Vec::with_capacity(runs);
for _ in 0..runs {
let s = Instant::now();
let _ = model.forward(&inputs, b, seq)?;
t.push(s.elapsed().as_secs_f64() * 1e3);
}
t.sort_by(|a, c| a.partial_cmp(c).unwrap());
let p50 = t[t.len() / 2];
eprintln!("{label} b={b:>3} p50={p50:7.2} ms");
println!("{label},{b},{p50:.2}");
}
Ok(())
}