Struct TensorData 

pub struct TensorData<T> { /* private fields */ }

Tensor data in a contiguous memory layout.

This struct holds tensor data in row-major (C-style) order, suitable for direct transfer to ML frameworks.

Implementations

impl<T: Clone + Default> TensorData<T>

pub fn new(rows: usize, cols: usize) -> Self

Creates a new tensor with the given shape, filled with default values.

pub fn from_vec(data: Vec<T>, rows: usize, cols: usize) -> Result<Self>

Creates a tensor from existing data and shape.

Errors

Returns an error if the data length doesn’t match rows * cols.

#[requires(data.len() == rows * cols)] #[ensures(result.is_ok() ==> result.shape() == [rows, cols])] #[ensures(result.is_ok() ==> result.as_slice().len() == rows * cols)] #[invariant(self.data.len() == self.shape[0] * self.shape[1])]

pub fn shape(&self) -> [usize; 2]

Returns the shape of the tensor as [rows, cols].

pub fn rows(&self) -> usize

Returns the number of rows.

pub fn cols(&self) -> usize

Returns the number of columns.

pub fn as_slice(&self) -> &[T]

Returns the underlying data as a slice.

pub fn as_mut_slice(&mut self) -> &mut [T]

Returns the underlying data as a mutable slice.

pub fn into_vec(self) -> Vec<T>

Consumes the tensor and returns the underlying data.

pub fn as_ptr(&self) -> *const T

Returns a raw pointer to the underlying data.

Useful for FFI integration with ML frameworks.

pub fn get(&self, row: usize, col: usize) -> Option<&T>

Gets an element at the given row and column.

pub fn set(&mut self, row: usize, col: usize, value: T)

Sets an element at the given row and column.

Panics

Panics if the indices are out of bounds.

Trait Implementations

impl<T: Clone> Clone for TensorData<T>

fn clone(&self) -> TensorData<T>

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<T: Debug> Debug for TensorData<T>

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

Formats the value using the given formatter.