Enum ValueOrView 

pub enum ValueOrView<'a> {
    View(ValueView<'a>),
    Value(Value),
}

An owned or borrowed value that can be used as a model or operator input.

Variants

View(ValueView<'a>)

A borrowed view (like a slice)

Value(Value)

An owned value (like a Vec<T>)

Implementations

impl ValueOrView<'_>

pub fn as_view(&self) -> ValueView<'_>

Convert this value to a tensor view.

pub fn to_owned(&self) -> Value

Convert this value to an owned tensor.

pub fn into_owned(self) -> Value

Convert this value to an owned tensor.

Trait Implementations

impl<'a> Clone for ValueOrView<'a>

fn clone(&self) -> ValueOrView<'a>

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl ExtractBuffer for ValueOrView<'_>

fn extract_buffer(self) -> Option<Buffer>

Consume self and return its data buffer if it was uniquely owned, or None otherwise.

impl<'a, T: 'static, S: Storage<Elem = T>, L: MutLayout> From<&'a TensorBase<S, L>> for ValueOrView<'a>

where ValueView<'a>: From<TensorView<'a, T>>,

fn from(val: &'a TensorBase<S, L>) -> Self

Converts to this type from the input type.

impl<'a> From<&'a Value> for ValueOrView<'a>

fn from(val: &'a Value) -> Self

Converts to this type from the input type.

impl<T, L: MutLayout> From<TensorBase<Vec<T>, L>> for ValueOrView<'static>

where Value: From<Tensor<T>>, DynLayout: From<L>,

fn from(val: TensorBase<Vec<T>, L>) -> Self

Converts to this type from the input type.

impl<'a, T, L: MutLayout> From<TensorBase<ViewData<'a, T>, L>> for ValueOrView<'a>

where ValueView<'a>: From<TensorView<'a, T>>,

fn from(val: TensorBase<ViewData<'a, T>, L>) -> Self

Converts to this type from the input type.

impl From<Value> for ValueOrView<'static>

fn from(val: Value) -> Self

Converts to this type from the input type.

impl<'a> From<ValueView<'a>> for ValueOrView<'a>

fn from(val: ValueView<'a>) -> Self

Converts to this type from the input type.

impl Layout for ValueOrView<'_>

type Index<'b> = SmallVec<[usize; 4]>

Type used to represent indices.

type Indices = DynIndices

Iterator over indices in this tensor.

fn ndim(&self) -> usize

Return the number of dimensions.

fn offset(&self, index: Self::Index<'_>) -> Option<usize>

Map an index to a storage offset, or return None if the index is out of bounds along any dimension.

fn len(&self) -> usize

Returns the number of elements in the array.

fn is_empty(&self) -> bool

Returns true if the array has no elements.

fn shape(&self) -> Self::Index<'_>

Returns an array of the sizes of each dimension.

fn size(&self, dim: usize) -> usize

Returns the size of the dimension dim.

fn strides(&self) -> Self::Index<'_>

Returns an array of the strides of each dimension.

fn stride(&self, dim: usize) -> usize

Returns the offset between adjacent indices along dimension dim.

fn indices(&self) -> Self::Indices

Return an iterator over all valid indices in this tensor.

fn offset_unchecked(&self, index: Self::Index<'_>) -> usize

Map an index to a storage offset, without checking if it is valid for the tensor’s shape.

fn is_contiguous(&self) -> bool

Return true if this layout describes a contiguous tensor, where the logical order of elements matches the order in which they are stored.

fn is_broadcast(&self) -> bool

Return true if iterating over elements in this layout will visit elements multiple times.

fn can_broadcast_to(&self, target_shape: &[usize]) -> bool

Return true if this layout’s shape can be broadcast to the given shape.

fn can_broadcast_with(&self, shape: &[usize]) -> bool

Return true if the tensor/view can be broadcast with another tensor or view with a given shape as part of a binary operation.

fn min_data_len(&self) -> usize

Return the minimum length required for the element data buffer used with this layout.