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Add a matmul benchmark. (#429)

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This commit is contained in:
Laurent Mazare
2023-08-13 14:41:03 +02:00
committed by GitHub
parent 6d694554b8
commit 5a63b51f14
1 changed files with 19 additions and 0 deletions
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19
candle-core/examples/cpu_benchmarks.rs
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@ -55,6 +55,23 @@ impl Benchmark for Conv2d {
const ITERS: usize = 1;
}
struct Matmul;
impl Benchmark for Matmul {
type PreProcessData = (Tensor, Tensor);
type RunResult = Tensor;
fn preprocess() -> Result<Self::PreProcessData> {
let lhs = Tensor::randn(0f32, 1., (1024, 1024), &Device::Cpu)?;
let rhs = Tensor::randn(0f32, 1., (1024, 1024), &Device::Cpu)?;
Ok((lhs, rhs))
}
fn run_one(d: &Self::PreProcessData) -> Result<Self::RunResult> {
d.0.matmul(&d.1)
}
const ITERS: usize = 100;
}
fn run<B: Benchmark>(iters: Option<usize>) -> Result<()> {
use std::hint::black_box;
@ -72,6 +89,7 @@ fn run<B: Benchmark>(iters: Option<usize>) -> Result<()> {
enum Task {
Conv1d,
Conv2d,
Matmul,
}
#[derive(Parser, Debug)]
@ -90,6 +108,7 @@ fn main() -> Result<()> {
match args.task {
Task::Conv1d => run::<Conv1d>(args.iters)?,
Task::Conv2d => run::<Conv2d>(args.iters)?,
Task::Matmul => run::<Matmul>(args.iters)?,
}
Ok(())
}