Struct TensorData 

pub struct TensorData {
    pub data: Vec<f32>,
    pub shape: Vec<usize>,
}

Backend-agnostic tensor data container.

This is the “lingua franca” across the trait boundary between rlox-core (raw buffers/slices) and NN backends. Data is stored as flat f32 in row-major order.

Fields

data: Vec<f32>

shape: Vec<usize>

Implementations

impl TensorData

pub fn new(data: Vec<f32>, shape: Vec<usize>) -> Self

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

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

pub fn from_f64(data: &[f64], shape: Vec<usize>) -> Self

pub fn numel(&self) -> usize

pub fn ndim(&self) -> usize

pub fn is_empty(&self) -> bool

Trait Implementations

impl Clone for TensorData

fn clone(&self) -> TensorData

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for TensorData

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

Formats the value using the given formatter.

impl PartialEq for TensorData

fn eq(&self, other: &TensorData) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for TensorData