#![feature(test)]
extern crate test;
use test::Bencher;
#[macro_use(azip)]
extern crate ndarray;
use ndarray::prelude::*;
use ndarray::NdProducer;
#[bench]
fn chunk2x2_iter_sum(bench: &mut Bencher)
{
let a = Array::<f32, _>::zeros((256, 256));
let chunksz = (2, 2);
let mut sum = Array::zeros(a.whole_chunks(chunksz).raw_dim());
bench.iter(|| {
azip!(ref a (a.whole_chunks(chunksz)), mut sum in {
*sum = a.iter().sum::<f32>();
});
});
}
#[bench]
fn chunk2x2_scalar_sum(bench: &mut Bencher)
{
let a = Array::<f32, _>::zeros((256, 256));
let chunksz = (2, 2);
let mut sum = Array::zeros(a.whole_chunks(chunksz).raw_dim());
bench.iter(|| {
azip!(ref a (a.whole_chunks(chunksz)), mut sum in {
*sum = a.scalar_sum();
});
});
}
#[bench]
fn chunk2x2_sum_get1(bench: &mut Bencher)
{
let a = Array::<f32, _>::zeros((256, 256));
let chunksz = (2, 2);
let mut sum = Array::<f32, _>::zeros(a.whole_chunks(chunksz).raw_dim());
bench.iter(|| {
let (m, n) = a.dim();
for i in 0..m {
for j in 0..n {
sum[[i/2, j/2]] += a[[i, j]];
}
}
});
}
#[bench]
fn chunk2x2_sum_uget1(bench: &mut Bencher)
{
let a = Array::<f32, _>::zeros((256, 256));
let chunksz = (2, 2);
let mut sum = Array::<f32, _>::zeros(a.whole_chunks(chunksz).raw_dim());
bench.iter(|| {
let (m, n) = a.dim();
for i in 0..m {
for j in 0..n {
unsafe {
*sum.uget_mut([i/2, j/2]) += *a.uget([i, j]);
}
}
}
});
}
#[bench]
fn chunk2x2_sum_get2(bench: &mut Bencher)
{
let a = Array::<f32, _>::zeros((256, 256));
let chunksz = (2, 2);
let mut sum = Array::<f32, _>::zeros(a.whole_chunks(chunksz).raw_dim());
bench.iter(|| {
let (m, n) = sum.dim();
for i in 0..m {
for j in 0..n {
sum[[i, j]] += a[[i*2 + 0, j*2 + 0]];
sum[[i, j]] += a[[i*2 + 0, j*2 + 1]];
sum[[i, j]] += a[[i*2 + 1, j*2 + 1]];
sum[[i, j]] += a[[i*2 + 1, j*2 + 0]];
}
}
});
}