Struct TensorUsage 

#[repr(transparent)]
pub struct TensorUsage(pub UInteger);

Tensor usage options.

C++ equivalent: MTL::TensorUsage

Tuple Fields

0: UInteger

Implementations

impl TensorUsage

pub const COMPUTE: Self

pub const RENDER: Self

pub const MACHINE_LEARNING: Self

Trait Implementations

impl BitAnd for TensorUsage

type Output = TensorUsage

The resulting type after applying the & operator.

fn bitand(self, rhs: Self) -> Self

Performs the & operation.

impl BitOr for TensorUsage

type Output = TensorUsage

The resulting type after applying the | operator.

fn bitor(self, rhs: Self) -> Self

Performs the | operation.

impl BitOrAssign for TensorUsage

fn bitor_assign(&mut self, rhs: Self)

Performs the |= operation.

impl Clone for TensorUsage

fn clone(&self) -> TensorUsage

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for TensorUsage

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

Formats the value using the given formatter.

impl Default for TensorUsage

fn default() -> TensorUsage

Returns the “default value” for a type.

impl Hash for TensorUsage

fn hash<__H: Hasher>(&self, state: &mut __H)

Feeds this value into the given Hasher.

fn hash_slice<H>(data: &[Self], state: &mut H)

where H: Hasher, Self: Sized,

Feeds a slice of this type into the given Hasher.

impl PartialEq for TensorUsage

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

Tests for self and other values to be equal, and is used by ==.

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

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

impl Copy for TensorUsage

impl Eq for TensorUsage

impl StructuralPartialEq for TensorUsage