Files
candle/candle-core/benches/matmul.rs
Nicolas Patry 9b5e4843a6 Optimizing decode matmul (Phi at 28tok/s on M3).
Adding some benchmark in order to help checking out matmul performance.
2023-12-20 09:54:19 +01:00

44 lines
1.2 KiB
Rust

use candle_core::{DType, Device, Tensor};
use criterion::{black_box, criterion_group, criterion_main, Criterion, Throughput};
use std::time::Instant;
fn run(a: &Tensor, b: &Tensor) {
a.matmul(&b.t().unwrap()).unwrap();
}
fn criterion_benchmark(c: &mut Criterion) {
let b = 1;
let m = 1;
let n = 2048;
let k = 2048;
let device = Device::new_metal(0).unwrap();
let dtype = DType::F32;
let lhs = Tensor::zeros((b, m, k), dtype, &device).unwrap();
let rhs = Tensor::zeros((b, n, k), dtype, &device).unwrap();
let flops = b * m * n * k;
let mut group = c.benchmark_group("matmul_metal");
group.throughput(Throughput::Bytes(flops as u64));
group.bench_function("iter", move |b| {
b.iter_custom(|iters| {
let start = Instant::now();
for _i in 0..iters {
run(black_box(&lhs), black_box(&rhs));
}
if let Device::Metal(device) = &device {
device.wait_until_completed().unwrap();
} else {
panic!("Expected metal device");
}
start.elapsed()
})
});
group.finish();
}
criterion_group!(benches, criterion_benchmark);
criterion_main!(benches);