Struct Tensor 

pub struct Tensor { /* private fields */ }

A dense multi-dimensional tensor.

Implementations

impl Tensor

pub fn new(shape: Vec<usize>, data: Vec<f64>) -> SolverResult<Self>

Creates a new tensor from shape and data.

pub fn zeros(shape: Vec<usize>) -> Self

Creates a zero tensor with the given shape.

pub fn ndim(&self) -> usize

Returns the number of dimensions (modes).

pub fn shape(&self) -> &[usize]

Returns the shape.

pub fn numel(&self) -> usize

Returns the total number of elements.

pub fn data(&self) -> &[f64]

Returns a reference to the data.

pub fn get(&self, indices: &[usize]) -> SolverResult<f64>

Gets an element by multi-dimensional index.

pub fn set(&mut self, indices: &[usize], value: f64) -> SolverResult<()>

Sets an element by multi-dimensional index.

pub fn unfold(&self, mode: usize) -> SolverResult<Matrix>

Mode-n unfolding (matricization).

Rearranges the tensor into a matrix where mode n becomes the row dimension and all other modes are collapsed into the column dimension.

pub fn fold( matrix: &Matrix, mode: usize, shape: &[usize], ) -> SolverResult<Tensor>

Folds a matrix back into a tensor (inverse of unfold).

pub fn frobenius_norm(&self) -> f64

Frobenius norm of the tensor.

Trait Implementations

impl Clone for Tensor

fn clone(&self) -> Tensor

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for Tensor

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

Formats the value using the given formatter.