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Seperate benchmarks by enabled features (#1538)
* Use cfg to seperate benchmark results based on features * Remove allow pragma * Avoid some unnecessary returns. * Improve benchmarks layout * Derive bench_name from actual device * Run CPU benchmarks even when GPU feature is enabled --------- Co-authored-by: Laurent <laurent.mazare@gmail.com>
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Original file line number | Diff line number | Diff line change |
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mod benchmarks; | ||
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use criterion::criterion_main; | ||
criterion_main!(benchmarks::matmul::benches); |
26 changes: 14 additions & 12 deletions
26
candle-core/benches/matmul.rs → candle-core/benches/benchmarks/matmul.rs
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@@ -1,42 +1,44 @@ | ||
use crate::benchmarks::{BenchDevice, BenchDeviceHandler}; | ||
use candle_core::{DType, Device, Tensor}; | ||
use criterion::{black_box, criterion_group, criterion_main, Criterion, Throughput}; | ||
use criterion::{black_box, criterion_group, Criterion, Throughput}; | ||
use std::time::Instant; | ||
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fn run(a: &Tensor, b: &Tensor) { | ||
a.matmul(&b.t().unwrap()).unwrap(); | ||
} | ||
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fn criterion_benchmark(c: &mut Criterion) { | ||
fn run_bench(c: &mut Criterion, device: &Device) { | ||
let b = 1; | ||
let m = 1; | ||
let n = 2048; | ||
let k = 2048; | ||
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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 lhs = Tensor::zeros((b, m, k), dtype, device).unwrap(); | ||
let rhs = Tensor::zeros((b, n, k), dtype, device).unwrap(); | ||
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let flops = b * m * n * k; | ||
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let mut group = c.benchmark_group("matmul_metal"); | ||
let mut group = c.benchmark_group(device.bench_name("matmul")); | ||
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"); | ||
} | ||
device.sync().unwrap(); | ||
start.elapsed() | ||
}) | ||
}); | ||
group.finish(); | ||
} | ||
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fn criterion_benchmark(c: &mut Criterion) { | ||
let handler = BenchDeviceHandler::new().unwrap(); | ||
for device in handler.devices { | ||
run_bench(c, &device); | ||
} | ||
} | ||
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criterion_group!(benches, criterion_benchmark); | ||
criterion_main!(benches); |
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pub(crate) mod matmul; | ||
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use candle_core::{Device, Result}; | ||
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pub(crate) trait BenchDevice { | ||
fn sync(&self) -> Result<()>; | ||
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fn bench_name<S: Into<String>>(&self, name: S) -> String; | ||
} | ||
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impl BenchDevice for Device { | ||
fn sync(&self) -> Result<()> { | ||
match self { | ||
Device::Cpu => Ok(()), | ||
Device::Cuda(device) => { | ||
#[cfg(feature = "cuda")] | ||
return Ok(device.synchronize()?); | ||
#[cfg(not(feature = "cuda"))] | ||
panic!("Cuda device without cuda feature enabled: {:?}", device) | ||
} | ||
Device::Metal(device) => { | ||
#[cfg(feature = "metal")] | ||
return Ok(device.wait_until_completed()?); | ||
#[cfg(not(feature = "metal"))] | ||
panic!("Metal device without metal feature enabled: {:?}", device) | ||
} | ||
} | ||
} | ||
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fn bench_name<S: Into<String>>(&self, name: S) -> String { | ||
match self { | ||
Device::Cpu => { | ||
let cpu_type = if cfg!(feature = "accelerate") { | ||
"accelerate" | ||
} else if cfg!(feature = "mkl") { | ||
"mkl" | ||
} else { | ||
"cpu" | ||
}; | ||
format!("{}_{}", cpu_type, name.into()) | ||
} | ||
Device::Cuda(_) => format!("cuda_{}", name.into()), | ||
Device::Metal(_) => format!("metal_{}", name.into()), | ||
} | ||
} | ||
} | ||
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struct BenchDeviceHandler { | ||
devices: Vec<Device>, | ||
} | ||
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impl BenchDeviceHandler { | ||
pub fn new() -> Result<Self> { | ||
let mut devices = Vec::new(); | ||
if cfg!(feature = "metal") { | ||
devices.push(Device::new_metal(0)?); | ||
} else if cfg!(feature = "cuda") { | ||
devices.push(Device::new_cuda(0)?); | ||
} | ||
devices.push(Device::Cpu); | ||
Ok(Self { devices }) | ||
} | ||
} |