Struct TypedTensorView 

pub struct TypedTensorView<'a, T, R: TensorRank = DynRank> { /* private fields */ }

Read-only borrowed view of typed tensor storage with arbitrary strides.

TypedTensorView is the typed representation for layout-only tensor transformations. It borrows an existing host or backend allocation and carries a logical shape, strides, and an offset. Slicing, reshaping when stride-compatible, and transpose_view update only metadata and do not copy storage.

Materialize through TensorStructural::to_contiguous_read on the active backend session when a compact owned TypedTensor is required. Use TypedTensorView::as_slice only when the current view is contiguous in the requested layout.

Examples

use tenferro_tensor::{Rank, TypedTensorView};

let data = [1_i32, 2, 3, 4];
let view = TypedTensorView::<_, Rank<2>>::from_slice_ranked([2, 2], [1, 2], 0, &data)?;
assert_eq!(view.get(&[1, 1]), Some(&4));

Implementations

impl<'a, T: 'static> TypedTensorView<'a, T, DynRank>

pub fn from_col_major(shape: &[usize], data: &'a [T]) -> Result<Self>

Create a borrowed dynamic-rank view over compact column-major host data.

Examples

use tenferro_tensor::TypedTensorView;

let data = [1_i32, 2, 3, 4];
let view = TypedTensorView::from_col_major(&[2, 2], &data)?;
assert_eq!(view.strides(), &[1, 2]);

Errors

Returns crate::Error::Validation with tenferro_tensor_core::ValidationError::IntegerOverflow when compact strides or reachable bounds overflow, or tenferro_tensor_core::ValidationError::ViewOutOfBounds when the requested shape reaches beyond data.

pub fn from_slice( shape: impl AsRef<[usize]>, strides: impl AsRef<[isize]>, offset: isize, data: &'a [T], ) -> Result<Self>

Create a borrowed host view from explicit layout metadata.

Examples

use tenferro_tensor::TypedTensorView;

let data = [1_i32, 2, 3];
let view = TypedTensorView::from_slice(vec![3], vec![-1], 2, &data)?;
assert_eq!(view.get(&[2]), Some(&1));

Errors

Returns crate::Error::Validation with tenferro_tensor_core::ValidationError::RankMismatch when shape and strides have different ranks, tenferro_tensor_core::ValidationError::ViewOutOfBounds when the reachable layout exceeds data, or tenferro_tensor_core::ValidationError::IntegerOverflow when layout arithmetic overflows.

impl<'a, T: 'static, R: TensorRank> TypedTensorView<'a, T, R>

pub fn from_slice_ranked( shape: impl Into<R::Shape>, strides: impl Into<R::Strides>, offset: isize, data: &'a [T], ) -> Result<Self>

Create a rank-generic borrowed host view from explicit layout metadata.

Examples

use tenferro_tensor::{Rank, TypedTensorView};

let data = [1_i32, 2, 3, 4];
let view = TypedTensorView::<_, Rank<2>>::from_slice_ranked([2, 2], [1, 2], 0, &data)?;
assert_eq!(view.get(&[1, 1]), Some(&4));

Errors

Returns crate::Error::Validation with tenferro_tensor_core::ValidationError::RankMismatch when the typed rank does not match shape or strides, tenferro_tensor_core::ValidationError::ViewOutOfBounds when the reachable layout exceeds data, or tenferro_tensor_core::ValidationError::IntegerOverflow when layout arithmetic overflows.

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

Return the logical shape.

Examples

use tenferro_tensor::TypedTensorView;

let data = [0_i32; 2];
let view = TypedTensorView::from_slice(vec![2], vec![1], 0, &data)?;
assert_eq!(view.shape(), &[2]);

pub fn strides(&self) -> &[isize]

Return strides in element units.

Examples

use tenferro_tensor::TypedTensorView;

let data = [0_i32; 2];
let view = TypedTensorView::from_slice(vec![2], vec![-1], 1, &data)?;
assert_eq!(view.strides(), &[-1]);

pub fn offset(&self) -> isize

Return the physical element offset.

Examples

use tenferro_tensor::TypedTensorView;

let data = [1_i32, 2];
let view = TypedTensorView::from_slice(vec![1], vec![1], 1, &data)?;
assert_eq!(view.offset(), 1);

pub fn host_storage(&self) -> Result<&'a [T]>

Return the borrowed host storage backing this view.

This exposes the entire backing host allocation, not just the logical slice covered by this view. Use TypedTensorView::as_slice when the caller needs the contiguous logical region instead.

Examples

use tenferro_tensor::TypedTensorView;

let data = [1_i32, 2];
let view = TypedTensorView::from_slice(vec![2], vec![1], 0, &data)?;
assert_eq!(view.host_storage()?, &[1, 2]);

Errors

Returns crate::Error::RuntimeState when this view wraps a backend buffer; backend storage must be downloaded before host inspection.

pub fn n_elements(&self) -> usize

Return the number of logical elements in this view.

Examples

use tenferro_tensor::TypedTensorView;

let data = [0_i32; 6];
let view = TypedTensorView::from_slice(vec![2, 3], vec![1, 2], 0, &data)?;
assert_eq!(view.n_elements(), 6);

pub fn layout(&self) -> &TensorLayout<R>

Return layout metadata for this view.

Examples

use tenferro_tensor::TypedTensorView;

let data = [1_i32, 2];
let view = TypedTensorView::from_slice(vec![2], vec![1], 0, &data)?;
assert!(view.layout().is_compact_col_major().unwrap());

pub fn placement(&self) -> &Placement

Return placement metadata for this view.

Examples

use tenferro_tensor::{MemoryKind, TypedTensorView};

let data = [1_i32];
let view = TypedTensorView::from_slice(vec![1], vec![1], 0, &data)?;
assert_eq!(view.placement().memory_kind, MemoryKind::UnpinnedHost);

pub fn linear_offset(&self, indices: &[usize]) -> Option<usize>

Compute the physical element offset for a logical index.

Examples

use tenferro_tensor::TypedTensorView;

let data = [1_i32, 2, 3];
let view = TypedTensorView::from_slice(vec![3], vec![-1], 2, &data)?;
assert_eq!(view.linear_offset(&[2]), Some(0));

pub fn layout_linear_offset(&self, indices: &[usize]) -> Result<usize>

Compute the physical element offset for a logical index, returning a typed error.

Examples

use tenferro_tensor::TypedTensorView;

let data = [1_i32, 2, 3];
let view = TypedTensorView::from_slice([3], [-1], 2, &data)?;
assert_eq!(view.layout_linear_offset(&[2])?, 0);

Errors

Returns crate::Error::Validation with tenferro_tensor_core::ValidationError::RankMismatch when indices has the wrong rank, tenferro_tensor_core::ValidationError::InvalidArgument when an index is outside its axis extent, or tenferro_tensor_core::ValidationError::IntegerOverflow when offset arithmetic overflows.

pub fn is_col_major_contiguous(&self) -> Result<bool>

Return whether this view is compact column-major.

Examples

use tenferro_tensor::TypedTensorView;

let data = [1_i32, 2];
let view = TypedTensorView::from_slice([2], [1], 0, &data)?;
assert!(view.is_col_major_contiguous()?);

Errors

Returns crate::Error::Validation with tenferro_tensor_core::ValidationError::IntegerOverflow if compactness arithmetic overflows.

pub fn layout_summary(&self) -> String

Return a compact string summary of this view’s layout metadata.

Examples

use tenferro_tensor::TypedTensorView;

let data = [1_i32, 2];
let view = TypedTensorView::from_slice([2], [1], 0, &data)?;
assert!(view.layout_summary().contains("shape=[2]"));

pub fn assert_col_major_contiguous(&self) -> Result<()>

Assert this view is compact column-major.

Examples

use tenferro_tensor::TypedTensorView;

let data = [1_i32, 2];
let view = TypedTensorView::from_slice([2], [1], 0, &data)?;
view.assert_col_major_contiguous()?;

Errors

Returns crate::Error::Validation with tenferro_tensor_core::ValidationError::IntegerOverflow when compactness arithmetic overflows, or tenferro_tensor_core::ValidationError::InvalidArgument when the view is not compact column-major.

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

Borrow one host element by logical index.

Returns None for out-of-bounds indices and backend buffers.

Examples

use tenferro_tensor::TypedTensorView;

let data = [1_i32, 2];
let view = TypedTensorView::from_slice(vec![2], vec![1], 0, &data)?;
assert_eq!(view.get(&[1]), Some(&2));

pub fn as_slice(&self) -> Result<&'a [T]>

Borrow the contiguous host slice covered by this view.

Returns an explicit error for backend buffers and for non-contiguous layouts. This method never downloads or materializes backend data.

Examples

use tenferro_tensor::TypedTensorView;

let data = [1_i32, 2, 3];
let view = TypedTensorView::from_slice(vec![2], vec![1], 1, &data)?;
assert_eq!(view.as_slice()?, &[2, 3]);

Errors

Returns crate::Error::RuntimeState when this view wraps a backend buffer, tenferro_tensor_core::ValidationError::InvalidArgument when the layout is not slice-contiguous or has a negative offset, or crate::Error::Validation with tenferro_tensor_core::ValidationError::ViewOutOfBounds or tenferro_tensor_core::ValidationError::IntegerOverflow when the requested host range is invalid.

pub fn transpose_view(&self, axes: impl AsRef<[usize]>) -> Result<Self>

Return a metadata-only axis permutation.

Examples

use tenferro_tensor::{Rank, TypedTensorView};

let data = [1_i32, 2, 3, 4, 5, 6];
let view = TypedTensorView::<_, Rank<2>>::from_slice_ranked([2, 3], [1, 2], 0, &data)?;
let transposed = view.transpose_view([1, 0])?;
assert_eq!(transposed.shape(), &[3, 2]);

Errors

Returns crate::Error::Validation with tenferro_tensor_core::ValidationError::InvalidPermutationLength, tenferro_tensor_core::ValidationError::AxisOutOfBounds, or tenferro_tensor_core::ValidationError::DuplicateAxis when axes is not a valid permutation of the view rank.

pub fn try_slice(&self, slices: &[StridedSliceSpec]) -> Result<Self>

Return a metadata-only slice using one StridedSliceSpec per axis.

Examples

use tenferro_tensor::{StridedSliceSpec, TypedTensorView};

let data = [1_i32, 2, 3];
let view = TypedTensorView::from_slice(vec![3], vec![1], 0, &data)?;
let reversed = view.try_slice(&[StridedSliceSpec::reverse()])?;
assert_eq!(reversed.get(&[0]), Some(&3));

Errors

Returns crate::Error::Validation with tenferro_tensor_core::ValidationError::RankMismatch when the slice count differs from the view rank, tenferro_tensor_core::ValidationError::InvalidSliceStep or tenferro_tensor_core::ValidationError::InvalidSliceBounds for an invalid slice, tenferro_tensor_core::ValidationError::IntegerOverflow for slice arithmetic overflow, or tenferro_tensor_core::ValidationError::ViewOutOfBounds when the resulting layout exceeds the backing buffer.

pub fn try_slice_axis( &self, axis: usize, slice: StridedSliceSpec, ) -> Result<Self>

Return a metadata-only slice along one axis.

Examples

use tenferro_tensor::{StridedSliceSpec, TypedTensorView};

let data = [1_i32, 2, 3, 4];
let view = TypedTensorView::from_slice(vec![2, 2], vec![1, 2], 0, &data)?;
assert_eq!(view.try_slice_axis(1, StridedSliceSpec::reverse())?.get(&[0, 0]), Some(&3));

Errors

Returns crate::Error::Validation with tenferro_tensor_core::ValidationError::AxisOutOfBounds when axis is outside the view rank, tenferro_tensor_core::ValidationError::InvalidSliceStep or tenferro_tensor_core::ValidationError::InvalidSliceBounds for an invalid slice, tenferro_tensor_core::ValidationError::IntegerOverflow for slice arithmetic overflow, or tenferro_tensor_core::ValidationError::ViewOutOfBounds when the resulting layout exceeds the backing buffer.

pub fn try_reshape( &self, shape: &[usize], ) -> Result<TypedTensorView<'a, T, DynRank>>

Return a metadata-only dynamic-rank reshape for contiguous column-major views.

Examples

use tenferro_tensor::TypedTensorView;

let data = [1_i32, 2, 3, 4];
let view = TypedTensorView::from_slice(vec![2, 2], vec![1, 2], 0, &data)?;
assert_eq!(view.try_reshape(&[4])?.shape(), &[4]);

Errors

Returns crate::Error::Validation with tenferro_tensor_core::ValidationError::NonContiguousViewAsSlice when the source is not compact column-major, tenferro_tensor_core::ValidationError::ShapeMismatch (whose tenferro_tensor_core::ShapeMismatch::ReshapeElementCount source records the counts) when element counts differ, tenferro_tensor_core::ValidationError::IntegerOverflow for shape arithmetic overflow, or tenferro_tensor_core::ValidationError::ViewOutOfBounds when the reshaped view exceeds the backing buffer.

Trait Implementations

impl<'a, T: Clone, R: Clone + TensorRank> Clone for TypedTensorView<'a, T, R>

fn clone(&self) -> TypedTensorView<'a, T, R>

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<'a, T: Debug, R: Debug + TensorRank> Debug for TypedTensorView<'a, T, R>

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

Formats the value using the given formatter.