Enum AttentionNormalizationOp 

#[repr(i32)]
pub enum AttentionNormalizationOp {
    kNONE = 0,
    kSOFTMAX = 1,
}

! ! \enum AttentionNormalizationOp ! ! \brief Enumerates the operations that may be performed by the normalization in the attention subgraph. !

Variants

kNONE = 0

kSOFTMAX = 1

!< Apply softmax normalization on the attention scores on the s_kv dimension.

Trait Implementations

impl Clone for AttentionNormalizationOp

fn clone(&self) -> AttentionNormalizationOp

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for AttentionNormalizationOp

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

Formats the value using the given formatter.

impl From<AttentionNormalizationOp> for AttentionNormalizationOp

fn from(value: AttentionNormalizationOp) -> Self

Converts to this type from the input type.

impl Hash for AttentionNormalizationOp

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 Into<AttentionNormalizationOp> for AttentionNormalizationOp

fn into(self) -> AttentionNormalizationOp

Converts this type into the (usually inferred) input type.

impl Ord for AttentionNormalizationOp

fn cmp(&self, other: &AttentionNormalizationOp) -> Ordering

This method returns an Ordering between self and other.

fn max(self, other: Self) -> Self

where Self: Sized,

Compares and returns the maximum of two values.

fn min(self, other: Self) -> Self

where Self: Sized,

Compares and returns the minimum of two values.

fn clamp(self, min: Self, max: Self) -> Self

where Self: Sized,

Restrict a value to a certain interval.

impl PartialEq for AttentionNormalizationOp

fn eq(&self, other: &AttentionNormalizationOp) -> 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 PartialOrd for AttentionNormalizationOp

fn partial_cmp(&self, other: &AttentionNormalizationOp) -> Option<Ordering>

This method returns an ordering between self and other values if one exists.

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

Tests less than (for self and other) and is used by the < operator.

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

Tests less than or equal to (for self and other) and is used by the <= operator.

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

Tests greater than (for self and other) and is used by the > operator.

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

Tests greater than or equal to (for self and other) and is used by the >= operator.

impl Copy for AttentionNormalizationOp

impl Eq for AttentionNormalizationOp

impl StructuralPartialEq for AttentionNormalizationOp