Function autograd::ops::matmul_t

pub fn matmul_t(
    a: &Tensor, 
    b: &Tensor, 
    transpose_a: bool, 
    transpose_b: bool
) -> Tensor

Matrix multiplication with inputs's transposition.

Similar specification as matmul but, if transpose_a is true, a is transposed before actual matrix multiplication. It is the same for transpose_b.

The performance is better than explicitly computing like ag::matmul(ag::transpose).

extern crate autograd as ag;

let mut ctx = ag::Context::new();
let ref a = ag::zeros(&[2, 4]);
let ref b = ag::zeros(&[2, 3]);
let ref c = ag::matmul_t(a, b, true, false);

assert_eq!(c.eval(&mut ctx).shape(), &[4, 3]);