Trait tc_tensor::TensorMath

pub trait TensorMath<D: Dir, O> {
    type Combine: TensorInstance;
    fn add(self, other: O) -> TCResult<Self::Combine>;
    fn div(self, other: O) -> TCResult<Self::Combine>;
    fn mul(self, other: O) -> TCResult<Self::Combine>;
    fn sub(self, other: O) -> TCResult<Self::Combine>;
}

Tensor math operations

Associated Types

type Combine: TensorInstance

The result type of a math operation

Required methods

fn add(self, other: O) -> TCResult<Self::Combine>

Add two tensors together.

fn div(self, other: O) -> TCResult<Self::Combine>

Divide self by other.

fn mul(self, other: O) -> TCResult<Self::Combine>

Multiply two tensors together.

fn sub(self, other: O) -> TCResult<Self::Combine>

Subtract other from self.

Implementors

impl<FD, FS, D, T> TensorMath<D, Tensor<FD, FS, D, T>> for Tensor<FD, FS, D, T> where
    FD: File<Array> + TryFrom<D::File, Error = TCError>,
    FS: File<Node> + TryFrom<D::File, Error = TCError>,
    D: Dir,
    T: Transaction<D>,
    D::FileClass: From<TensorType>, 

impl<FD, FS, D, T, A> TensorMath<D, Tensor<FD, FS, D, T>> for SparseTensor<FD, FS, D, T, A> where
    FD: File<Array> + TryFrom<D::File, Error = TCError>,
    FS: File<Node> + TryFrom<D::File, Error = TCError>,
    D: Dir,
    T: Transaction<D>,
    A: SparseAccess<FD, FS, D, T>,
    D::FileClass: From<TensorType>, 

impl<FD, FS, D, T, B> TensorMath<D, Tensor<FD, FS, D, T>> for DenseTensor<FD, FS, D, T, B> where
    FD: File<Array> + TryFrom<D::File, Error = TCError>,
    FS: File<Node> + TryFrom<D::File, Error = TCError>,
    D: Dir,
    T: Transaction<D>,
    B: DenseAccess<FD, FS, D, T>,
    D::FileClass: From<TensorType>, 

impl<FD, FS, D, T, B, O> TensorMath<D, DenseTensor<FD, FS, D, T, O>> for DenseTensor<FD, FS, D, T, B> where
    FD: File<Array> + TryFrom<D::File, Error = TCError>,
    FS: File<Node> + TryFrom<D::File, Error = TCError>,
    D: Dir,
    T: Transaction<D>,
    B: DenseAccess<FD, FS, D, T>,
    O: DenseAccess<FD, FS, D, T>,
    D::FileClass: From<TensorType>, 

impl<FD, FS, D, T, L, R> TensorMath<D, SparseTensor<FD, FS, D, T, R>> for SparseTensor<FD, FS, D, T, L> where
    FD: File<Array>,
    FS: File<Node>,
    D: Dir,
    T: Transaction<D>,
    L: SparseAccess<FD, FS, D, T>,
    R: SparseAccess<FD, FS, D, T>,