Enum CrossEntropyTargetKind 

#[repr(u8)]
pub enum CrossEntropyTargetKind {
    ClassIndex = 0,
    SoftProb = 1,
}

CrossEntropy target-tensor kind. Selects between PyTorch’s two target formats: class indices (i64[N]) and soft probabilities (T[N, C] — used for label smoothing / distillation).

Variants

ClassIndex = 0

Target is class-index i64[N].

SoftProb = 1

Target is soft probability T[N, C] (same dtype as input).

Trait Implementations

impl Clone for CrossEntropyTargetKind

fn clone(&self) -> CrossEntropyTargetKind

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Copy for CrossEntropyTargetKind

impl Debug for CrossEntropyTargetKind

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

Formats the value using the given formatter.

impl Eq for CrossEntropyTargetKind

impl Hash for CrossEntropyTargetKind

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

where __H: Hasher,

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 CrossEntropyTargetKind

fn eq(&self, other: &CrossEntropyTargetKind) -> 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 StructuralPartialEq for CrossEntropyTargetKind