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https://github.com/huggingface/candle.git
synced 2025-06-18 03:28:50 +00:00
Update with feature separated benchmarks
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@ -48,8 +48,3 @@ metal = ["dep:metal", "dep:candle-metal-kernels"]
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[[bench]]
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[[bench]]
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name = "bench_main"
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name = "bench_main"
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harness = false
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harness = false
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[[bench]]
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name = "fill"
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harness = false
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@ -1,4 +1,4 @@
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mod benchmarks;
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mod benchmarks;
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use criterion::criterion_main;
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use criterion::criterion_main;
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criterion_main!(benchmarks::matmul::benches);
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criterion_main!(benchmarks::matmul::benches, benchmarks::fill::benches);
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43
candle-core/benches/benchmarks/fill.rs
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43
candle-core/benches/benchmarks/fill.rs
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@ -0,0 +1,43 @@
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use crate::benchmarks::{bench_name, device, BenchDevice};
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use candle_core::{DType, Device, Tensor};
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use criterion::{black_box, criterion_group, Criterion, Throughput};
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use std::time::Instant;
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fn run(shape: (usize, usize, usize), dtype: DType, device: &Device) {
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Tensor::ones(shape, dtype, device).unwrap();
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}
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fn run_fill_benchmark(c: &mut Criterion, name: &str, dtype: DType) {
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let b = 1;
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let rows = 4096;
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let columns = 4096;
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let flops = b * rows * columns * dtype.size_in_bytes();
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let device = device().unwrap();
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let mut group = c.benchmark_group(bench_name(name));
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group.throughput(Throughput::Bytes(flops as u64));
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group.bench_function("iter", move |bencher| {
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bencher.iter_custom(|iters| {
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let start = Instant::now();
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for _i in 0..iters {
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run(
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black_box((b, rows, columns)),
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black_box(dtype),
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black_box(&device),
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);
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}
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device.sync().unwrap();
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start.elapsed()
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})
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});
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group.finish();
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}
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fn criterion_benchmark(c: &mut Criterion) {
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run_fill_benchmark(c, "fill_u8", DType::U8);
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run_fill_benchmark(c, "fill_f32", DType::F32);
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}
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criterion_group!(benches, criterion_benchmark);
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@ -1,3 +1,4 @@
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pub(crate) mod fill;
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pub(crate) mod matmul;
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pub(crate) mod matmul;
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use candle_core::{Device, Result};
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use candle_core::{Device, Result};
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@ -1,67 +0,0 @@
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use candle_core::{DType, Device, Tensor};
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use criterion::{black_box, criterion_group, criterion_main, Criterion, Throughput};
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use std::time::Instant;
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fn run(shape: (usize, usize, usize), dtype: DType, device: &Device) {
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Tensor::ones(shape, dtype, device).unwrap();
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}
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fn criterion_benchmark(c: &mut Criterion) {
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let b = 1;
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let rows = 4096;
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let columns = 4096;
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let flops = b * rows * columns;
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let device1 = Device::new_metal(0).unwrap();
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let device2 = device1.clone();
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let mut group = c.benchmark_group("fill_metal_u8");
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group.throughput(Throughput::Bytes(flops as u64));
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group.bench_function("iter", move |bencher| {
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bencher.iter_custom(|iters| {
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let start = Instant::now();
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for _i in 0..iters {
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run(
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black_box((b, rows, columns)),
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black_box(DType::U8),
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black_box(&device1),
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);
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}
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if let Device::Metal(device) = &device1 {
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device.wait_until_completed().unwrap();
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} else {
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panic!("Expected metal device");
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}
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start.elapsed()
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})
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});
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group.finish();
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let mut group = c.benchmark_group("fill_metal_f32");
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group.throughput(Throughput::Bytes(
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(flops * DType::F32.size_in_bytes()) as u64,
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));
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group.bench_function("iter", move |bencher| {
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bencher.iter_custom(|iters| {
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let start = Instant::now();
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for _i in 0..iters {
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run(
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black_box((b, rows, columns)),
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black_box(DType::F32),
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black_box(&device2),
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);
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}
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if let Device::Metal(device) = &device2 {
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device.wait_until_completed().unwrap();
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} else {
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panic!("Expected metal device");
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}
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start.elapsed()
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})
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});
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group.finish();
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}
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criterion_group!(benches, criterion_benchmark);
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criterion_main!(benches);
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