forked from M-Labs/nalgebra
37 lines
1.3 KiB
Rust
37 lines
1.3 KiB
Rust
extern crate nalgebra_sparse;
|
|
use nalgebra_sparse::CsrMatrix;
|
|
use std::fs::{self, DirEntry};
|
|
use std::io;
|
|
use std::path::Path;
|
|
use std::time::{Duration, Instant};
|
|
|
|
#[cfg(feature = "io")]
|
|
use nalgebra_sparse::io::load_coo_from_matrix_market_file;
|
|
fn main() {
|
|
#[cfg(feature = "io")]
|
|
{
|
|
let mut file_iter = fs::read_dir("data").unwrap();
|
|
for f in file_iter {
|
|
println!("Benchmark file {:?}", f);
|
|
let f = f.unwrap().path();
|
|
|
|
if f.extension().map_or(false, |ext| ext == "mtx") {
|
|
println!("Benchmark file {:?}", f);
|
|
let sparse_input_matrix = load_coo_from_matrix_market_file::<f64, _>(&f).unwrap();
|
|
let sparse_input_matrix = CsrMatrix::from(&sparse_input_matrix);
|
|
let spmm_result = &sparse_input_matrix * &sparse_input_matrix;
|
|
let now = Instant::now();
|
|
let spmm_result = &sparse_input_matrix * &sparse_input_matrix;
|
|
let spmm_time = now.elapsed().as_millis();
|
|
println!("SGEMM time was {}", spmm_time);
|
|
let sum: f64 = spmm_result.triplet_iter().map(|(_, _, v)| v).sum();
|
|
println!("sum of product is {}", sum);
|
|
}
|
|
}
|
|
}
|
|
#[cfg(not(feature = "io"))]
|
|
{
|
|
panic!("Run with IO feature only");
|
|
}
|
|
}
|