Trait TensorDescriptor 

pub trait TensorDescriptor: MemoryDescriptor {
    // Required methods
    fn shape(&self) -> &[usize];
    fn stride(&self) -> &[usize];
    fn element_size(&self) -> usize;
}

A tensor is memory with shape, stride, and element size metadata.

This trait extends MemoryDescriptor with tensor-specific metadata. The underlying memory could be externally owned, self-owned, or a view.

Shape and Stride

• shape() returns the number of elements in each dimension
• stride() returns the number of elements to skip when incrementing each dimension
• element_size() returns the number of bytes per element

For a contiguous tensor with shape [2, 3, 4]:

• stride would be [12, 4, 1] (row-major/C order)
• total elements = 2 * 3 * 4 = 24
• total bytes = 24 * element_size()

Required Methods

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

Shape of the tensor (number of elements per dimension).

fn stride(&self) -> &[usize]

Stride of the tensor (elements to skip per dimension).

stride[i] indicates how many elements to skip when incrementing dimension i.

fn element_size(&self) -> usize

Number of bytes per element.

Implementations on Foreign Types

impl TensorDescriptor for Arc<dyn TensorDescriptor + Send + Sync>

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

fn stride(&self) -> &[usize]

fn element_size(&self) -> usize

impl TensorDescriptor for Arc<dyn TensorDescriptor>

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

fn stride(&self) -> &[usize]

fn element_size(&self) -> usize

Implementors