Numeric Rust

N-dimensional matrix class for Rust 1.0. It links to OpenBLAS to make tensor operations fast (like matrix multipliations). It utilizes Rust's move semantics as much as possible to avoid unnecessary copies.

Features

Some of the completed and planned features:

• Element-wise addition, subtraction, multiplication, division
• Matrix multiplication and scalar product
• Indexing
• Slicing
• Generic (anything from Tensor<bool> to Tensor<f64>)
• Mathematical functions
• Strided slices
• Updating slices
• Broadcasted axes
• Matrix solver / inverse

Example

use numeric::DoubleTensor;

fn main() {
    let a = DoubleTensor::range(6).reshaped(&[2, 3]);
    let b = DoubleTensor::new(vec![7.0, 3.0, 2.0, -3.0, 2.0, -5.0]).reshaped(&[2, 3]);
    let c = DoubleTensor::new(vec![7.0, 3.0, 2.0]);

    let d = &a + &b;                   // a copy is made
    println!("d = \n{}", d);

    let e = DoubleTensor::dot(&a, &c); // matrix multiplication (returns a new tensor)
    println!("e = \n{}", e);

    let f = a + &b;                    // a is moved (no memory is allocated)
    println!("f = \n{}", f);

    // Higher-dimensional
    println!("g = \n{}", DoubleTensor::ones(&[2, 3, 4, 5]));
}

Output:

d =
[[  7.00   4.00   4.00]
 [  0.00   6.00   0.00]]
e =
[  7.00  43.00]
f =
[[  7.00   4.00   4.00]
 [  0.00   6.00   0.00]]
g =
DoubleTensor([2, 3, 4, 5])