Function autograd::ops::batch_matmul_t

pub fn batch_matmul_t<T, A, B>(
    a: A, 
    b: B, 
    trans_a: bool, 
    trans_b: bool
) -> Tensor<T> where
    T: Float,
    A: AsRef<Tensor<T>>,
    B: AsRef<Tensor<T>>, 

Batched matrix multiplication with inputs's transposition.

The rank of a and b must be equals.

extern crate autograd as ag;

let ref a: ag::Tensor<f32> = ag::zeros(&[2, 3, 2, 4]);
let ref b: ag::Tensor<f32> = ag::zeros(&[2, 3, 2, 3]);
let ref c = ag::batch_matmul_t(a, b, true, false);

assert_eq!(c.eval(&[]).unwrap().shape(), &[2, 3, 4, 3]);

This function supports only f32 and f64. For detailed description, see https://www.tensorflow.org/api_docs/python/tf/matmul