Example failing on mac os
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Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 35/100
Research direction
Reproduce the test from the issue using the shown Cargo.toml dependencies and the solve_into entry point on macOS. Inspect the OpenBLAS backend configuration and the ndarray-linalg solve path to determine whether the incorrect result is backend-specific. Done means identifying the cause and adding or updating a regression test for the expected solution.
Written by the indexing model from the issue text.
Description
I'm having an issue getting the crate to work reliably on OSX. My product requires some simple linear algebra, using the solve functions. My Cargo.toml looks like this
[dependencies]
ndarray = { version = "0.14" }
num-complex = { version = "0.3.1" }
ndarray-linalg = { version = "0.13.1", features=["openblas"] }
and I am trying to run a simple test I lifted the examples in the crate docs
#[test]
fn test_mat_mul() {
use ndarray::prelude::*;
use ndarray_linalg::Solve;
let a: Array2<f64> = array![[3., 2., -1.], [2., -2., 4.], [-2., 1., -2.]];
let b: Array1<f64> = array![1., -2., 0.];
let x = a.solve_into(b).unwrap();
assert!(x.all_close(&array![1., -2., -2.], 1e-9));
}
which I would expect to pass fine. Instead it finds x = [1.0, 1.2000000000000002, -0.40000000000000013].
Any ideas? Is this a problem with using the openblas backend on osx?
- Dominant language
- Rust
- Stars
- 452
- Forks
- 95
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- No merged PRs in 30d
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