Trait TensorMut 

pub trait TensorMut<Scalar: StorageElement, const MAX_RANK: usize>: TensorRef<Scalar, MAX_RANK> {
    // Required method
    fn as_mut_ptr(&mut self) -> *mut Scalar;
}

Mutable structural access to N-dimensional tensor containers.

TensorMut is a supertrait of TensorRef that adds a single method — a mutable raw pointer to the first element. It is implemented by Tensor (which owns its memory) and by TensorSpan (which borrows a mutable sub-region). Immutable views (TensorView) deliberately do not implement TensorMut.

Generic write-access helpers accept &mut (impl TensorMut<Scalar, R>) so they work uniformly against owned tensors and span reborrows.

Required Methods

fn as_mut_ptr(&mut self) -> *mut Scalar

Raw mutable pointer to the first storage element.

The pointer is valid for numel() / dimensions_per_value() writes and preserves whatever stride layout TensorRef::stride_bytes reports — callers must honour the per-axis strides when striding through non-contiguous memory.

Dyn Compatibility

This trait is dyn compatible.

In older versions of Rust, dyn compatibility was called "object safety".

Implementors

impl<'a, Scalar: StorageElement, const R: usize> TensorMut<Scalar, R> for TensorSpan<'a, Scalar, R>

impl<Scalar: StorageElement, Alloc: Allocator, const R: usize> TensorMut<Scalar, R> for Tensor<Scalar, Alloc, R>