Tensor library for AI, suitable for AI inference engine development
example
use galois::{arr, cube, mat, Shape, Tensor};
fn main() {
let m1 = mat(&[
[0.0, 0.0, 0.0],
[1.0, 1.0, 1.0],
[2.0, 2.0, 2.0],
[3.0, 3.0, 3.0],
]);
let m2 = arr(&[1.0, 2.0, 3.0]);
let m3 = &m1 + &m2;
let c = cube(&[[[1.0, 2.0], [3.0, 4.0]], [[5.0, 6.0], [7.0, 8.0]]]);
let a = arr(&[1.0, 2.0]);
let c1 = &c + &a;
let c2 = &c * &a;
let m1 = Tensor::<f64>::with_shape(
vec![1.0, 1.0, 1.0, 2.0, 2.0, 2.0],
Shape::from_slice([2, 3]),
);
let m2 = Tensor::<f64>::with_shape(vec![1.0, 2.0, 3.0], Shape::from_slice([3]));
let m3 = &m1 + &m2;
let m4 = &m1 * &m2;
}
RUSTFLAGS="-C target-feature=+avx,+avx2,+fma,+f16c -C relocation-model=pic -C link-arg=-pthread -C opt-level=3 -Ctarget-cpu=native" cargo run