Struct windows::AI::MachineLearning::TensorFloat

#[repr(transparent)]
pub struct TensorFloat(_);

Required features: "AI_MachineLearning"

Implementations

impl TensorFloat

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

Required features: "Foundation"

pub fn Kind(&self) -> Result<LearningModelFeatureKind>

pub fn CreateReference(&self) -> Result<IMemoryBufferReference>

Required features: "Foundation"

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

pub fn Shape(&self) -> Result<IVectorView<i64>>

Required features: "Foundation_Collections"

pub fn GetAsVectorView(&self) -> Result<IVectorView<f32>>

Required features: "Foundation_Collections"

pub fn Create() -> Result<TensorFloat>

pub fn Create2<P0>(shape: P0) -> Result<TensorFloat>where P0: TryIntoParam<IIterable<i64>>,

Required features: "Foundation_Collections"

pub fn CreateFromArray<P0>(shape: P0, data: &[f32]) -> Result<TensorFloat>where P0: TryIntoParam<IIterable<i64>>,

Required features: "Foundation_Collections"

pub fn CreateFromIterable<P0, P1>(shape: P0, data: P1) -> Result<TensorFloat>where P0: TryIntoParam<IIterable<i64>>, P1: TryIntoParam<IIterable<f32>>,

Required features: "Foundation_Collections"

pub fn CreateFromShapeArrayAndDataArray( shape: &[i64], data: &[f32] ) -> Result<TensorFloat>

pub fn CreateFromBuffer<P0>(shape: &[i64], buffer: P0) -> Result<TensorFloat>where P0: TryIntoParam<IBuffer>,

Required features: "Storage_Streams"

Trait Implementations

impl Clone for TensorFloat

fn clone(&self) -> Self

Returns a copy of the value.

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

Performs copy-assignment from source.

impl ComInterface for TensorFloat

const IID: GUID = <ITensorFloat as ::windows::core::ComInterface>::IID

A unique identifier representing this interface.

fn cast<T: ComInterface>(&self) -> Result<T>

Attempts to cast the current interface to another interface using QueryInterface.

fn downgrade(&self) -> Result<Weak<Self>>

Attempts to create a Weak reference to this object.

impl Debug for TensorFloat

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

Formats the value using the given formatter.

impl PartialEq<TensorFloat> for TensorFloat

fn eq(&self, other: &Self) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Eq for TensorFloat

impl Send for TensorFloat

impl Sync for TensorFloat