Trait neuronika::MatMatMulT

pub trait MatMatMulT<Rhs> {
    type Output;
    fn mm_t(self, other: Rhs) -> Self::Output;
}

Matrix-matrix multiplication with transposed right hand side operand.

This fused operation is marginally faster than performing the matrix-matrix multiplication and transposition separately.

Associated Types

type Output

The type of the matrix-matrix multiplication with transposed right hand side operand’s result. See the differentiability arithmetic for more details.

Required methods

fn mm_t(self, other: Rhs) -> Self::Output

Computes the matrix-matrix multiplication between self and transposed other.

Implementors

impl<F1, B1, F2> MatMatMulT<Var<F2>> for VarDiff<F1, B1> where
    F1: Data<Dim = Ix2> + 'static,
    B1: Gradient<Dim = Ix2> + Overwrite + 'static,
    F2: Data<Dim = Ix2> + 'static, 

type Output = VarDiff<MatrixMatrixMulT<F1, F2>, MatrixMatrixMulTBackwardLeft<B1, F2>>

impl<F1, B1, F2, B2> MatMatMulT<VarDiff<F2, B2>> for VarDiff<F1, B1> where
    F1: Data<Dim = Ix2> + 'static,
    B1: Gradient<Dim = Ix2> + Overwrite + 'static,
    F2: Data<Dim = Ix2> + 'static,
    B2: Gradient<Dim = Ix2> + Overwrite + 'static, 

type Output = VarDiff<MatrixMatrixMulT<F1, F2>, MatrixMatrixMulTBackward<F1, B1, F2, B2>>

impl<F1, F2> MatMatMulT<Var<F2>> for Var<F1> where
    F1: Data<Dim = Ix2> + 'static,
    F2: Data<Dim = Ix2> + 'static, 

type Output = Var<MatrixMatrixMulT<F1, F2>>

impl<F1, F2, B2> MatMatMulT<VarDiff<F2, B2>> for Var<F1> where
    F1: Data<Dim = Ix2> + 'static,
    F2: Data<Dim = Ix2> + 'static,
    B2: Gradient<Dim = Ix2> + Overwrite + 'static, 

type Output = VarDiff<MatrixMatrixMulT<F1, F2>, MatrixMatrixMulTBackwardRight<F1, B2>>