Enum SparseToDenseAlgorithm 

#[repr(u32)]
pub enum SparseToDenseAlgorithm {
    Default = 0,
}

Variants

Default = 0

Trait Implementations

impl Clone for SparseToDenseAlgorithm

fn clone(&self) -> SparseToDenseAlgorithm

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for SparseToDenseAlgorithm

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

Formats the value using the given formatter.

impl Display for SparseToDenseAlgorithm

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

Formats the value using the given formatter.

impl From<SparseToDenseAlgorithm> for cusparseSparseToDenseAlg_t

fn from(value: SparseToDenseAlgorithm) -> Self

Converts to this type from the input type.

impl From<SparseToDenseAlgorithm> for u32

fn from(enum_value: SparseToDenseAlgorithm) -> Self

Converts to this type from the input type.

impl From<cusparseSparseToDenseAlg_t> for SparseToDenseAlgorithm

fn from(value: cusparseSparseToDenseAlg_t) -> Self

Converts to this type from the input type.

impl Hash for SparseToDenseAlgorithm

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 SparseToDenseAlgorithm

fn eq(&self, other: &SparseToDenseAlgorithm) -> 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 TryFrom<u32> for SparseToDenseAlgorithm

type Error = TryFromPrimitiveError<SparseToDenseAlgorithm>

The type returned in the event of a conversion error.

fn try_from(number: u32) -> Result<Self, TryFromPrimitiveError<Self>>

Performs the conversion.

impl TryFromPrimitive for SparseToDenseAlgorithm

const NAME: &'static str = "SparseToDenseAlgorithm"

type Primitive = u32

type Error = TryFromPrimitiveError<SparseToDenseAlgorithm>

fn try_from_primitive( number: Self::Primitive, ) -> Result<Self, TryFromPrimitiveError<Self>>

impl Copy for SparseToDenseAlgorithm

impl Eq for SparseToDenseAlgorithm

impl StructuralPartialEq for SparseToDenseAlgorithm