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Merge branch 'main' into ivarflakstad/metal-fill
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@ -1,4 +1,4 @@
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use crate::benchmarks::{bench_name, device, BenchDevice};
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use crate::benchmarks::{BenchDevice, BenchDeviceHandler};
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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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@ -7,16 +7,14 @@ 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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fn run_fill_benchmark(c: &mut Criterion, device: &Device, 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 rows = 1024;
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let columns = 1024;
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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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let mut group = c.benchmark_group(device.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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@ -36,8 +34,11 @@ fn run_fill_benchmark(c: &mut Criterion, name: &str, dtype: DType) {
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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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let handler = BenchDeviceHandler::new().unwrap();
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for device in handler.devices {
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run_fill_benchmark(c, &device, "fill_u8", DType::U8);
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run_fill_benchmark(c, &device, "fill_f32", DType::F32);
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}
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}
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criterion_group!(benches, criterion_benchmark);
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