Struct CpuTensorLinalgBackend 

pub struct CpuTensorLinalgBackend;

Marker type for the CPU tensor linalg backend.

Examples

let _backend = tenferro_linalg_prims::backend::CpuTensorLinalgBackend;

Trait Implementations

impl Clone for CpuTensorLinalgBackend

fn clone(&self) -> CpuTensorLinalgBackend

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for CpuTensorLinalgBackend

fn fmt(&self, f: &mut Formatter<'_>) -> Result<(), Error>

Formats the value using the given formatter.

impl Default for CpuTensorLinalgBackend

fn default() -> CpuTensorLinalgBackend

Returns the “default value” for a type.

impl<T> TensorLinalgPrims<T> for CpuTensorLinalgBackend

where T: KernelLinalgScalar,

type Context = CpuContext

fn has_linalg_support(_op: LinalgCapabilityOp) -> bool

fn solve_ex( ctx: &mut <CpuTensorLinalgBackend as TensorLinalgPrims<T>>::Context, a: &Tensor<T>, b: &Tensor<T>, ) -> Result<SolveTensorExResult<T>, Error>

Solve a square linear system while returning per-batch numerical status.

fn solve( ctx: &mut <CpuTensorLinalgBackend as TensorLinalgPrims<T>>::Context, a: &Tensor<T>, b: &Tensor<T>, ) -> Result<Tensor<T>, Error>

fn lu_solve( ctx: &mut <CpuTensorLinalgBackend as TensorLinalgPrims<T>>::Context, factors: &Tensor<T>, pivots: &Tensor<i32>, b: &Tensor<T>, ) -> Result<Tensor<T>, Error>

fn solve_triangular( ctx: &mut <CpuTensorLinalgBackend as TensorLinalgPrims<T>>::Context, a: &Tensor<T>, b: &Tensor<T>, upper: bool, ) -> Result<Tensor<T>, Error>

fn qr( ctx: &mut <CpuTensorLinalgBackend as TensorLinalgPrims<T>>::Context, a: &Tensor<T>, ) -> Result<QrTensorResult<T>, Error>

fn thin_svd( ctx: &mut <CpuTensorLinalgBackend as TensorLinalgPrims<T>>::Context, a: &Tensor<T>, ) -> Result<SvdTensorResult<T>, Error>

fn svdvals( ctx: &mut <CpuTensorLinalgBackend as TensorLinalgPrims<T>>::Context, a: &Tensor<T>, ) -> Result<Tensor<<T as LinalgScalar>::Real>, Error>

fn lu_factor_ex( ctx: &mut <CpuTensorLinalgBackend as TensorLinalgPrims<T>>::Context, a: &Tensor<T>, ) -> Result<LuTensorExResult<T>, Error>

Compute an LU factorization while returning per-batch numerical status.

fn lu_factor( ctx: &mut <CpuTensorLinalgBackend as TensorLinalgPrims<T>>::Context, a: &Tensor<T>, ) -> Result<LuTensorResult<T>, Error>

fn lu_factor_no_pivot( ctx: &mut <CpuTensorLinalgBackend as TensorLinalgPrims<T>>::Context, a: &Tensor<T>, ) -> Result<LuTensorResult<T>, Error>

Compute an LU factorization without pivoting.

fn cholesky_ex( ctx: &mut <CpuTensorLinalgBackend as TensorLinalgPrims<T>>::Context, a: &Tensor<T>, ) -> Result<CholeskyTensorExResult<T>, Error>

Compute a Cholesky factorization while returning per-batch numerical status.

fn cholesky( ctx: &mut <CpuTensorLinalgBackend as TensorLinalgPrims<T>>::Context, a: &Tensor<T>, ) -> Result<Tensor<T>, Error>

fn eigen_sym( ctx: &mut <CpuTensorLinalgBackend as TensorLinalgPrims<T>>::Context, a: &Tensor<T>, ) -> Result<EigenTensorResult<T>, Error>

fn eig( ctx: &mut <CpuTensorLinalgBackend as TensorLinalgPrims<T>>::Context, a: &Tensor<T>, ) -> Result<EigTensorResult<T>, Error>

impl Copy for CpuTensorLinalgBackend