mirror of https://github.com/tracel-ai/burn.git
51 lines
1.3 KiB
Rust
51 lines
1.3 KiB
Rust
use backend_comparison::persistence::Persistence;
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use burn::tensor::{backend::Backend, Distribution, Shape, Tensor};
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use burn_common::benchmark::{run_benchmark, Benchmark};
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pub struct BinaryBenchmark<B: Backend, const D: usize> {
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shape: Shape<D>,
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num_repeats: usize,
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device: B::Device,
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}
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impl<B: Backend, const D: usize> Benchmark for BinaryBenchmark<B, D> {
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type Args = (Tensor<B, D>, Tensor<B, D>);
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fn name(&self) -> String {
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"Binary Ops".into()
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}
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fn execute(&self, (lhs, rhs): Self::Args) {
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for _ in 0..self.num_repeats {
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// Choice of add is arbitrary
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B::add(lhs.clone().into_primitive(), rhs.clone().into_primitive());
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}
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}
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fn prepare(&self) -> Self::Args {
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let lhs = Tensor::random_device(self.shape.clone(), Distribution::Default, &self.device);
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let rhs = Tensor::random_device(self.shape.clone(), Distribution::Default, &self.device);
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(lhs, rhs)
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}
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fn sync(&self) {
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B::sync(&self.device)
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}
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}
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#[allow(dead_code)]
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fn bench<B: Backend>(device: &B::Device) {
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let benchmark = BinaryBenchmark::<B, 3> {
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shape: [32, 512, 1024].into(),
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num_repeats: 10,
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device: device.clone(),
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};
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Persistence::persist::<B>(vec![run_benchmark(benchmark)], device)
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}
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fn main() {
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backend_comparison::bench_on_backend!();
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}
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