Enum Reduction 

pub enum Reduction {
    Mean,
    Sum,
    None,
}

Reduction mode for losses with per-sample outputs. Matches PyTorch’s reduction parameter shape ('mean' | 'sum' | 'none').

Variants

Mean

Sum the per-sample losses and divide by the count of contributing samples (rows not masked by ignore_index). Standard training-time scalar.

Sum

Sum the per-sample losses without dividing.

None

No reduction — return the per-sample losses with targets.shape.

Trait Implementations

impl Clone for Reduction

fn clone(&self) -> Self

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Copy for Reduction

impl Debug for Reduction

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

Formats the value using the given formatter.

impl Eq for Reduction

impl Hash for Reduction

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 Reduction

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

Equality operator ==.

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

Inequality operator !=.

impl StructuralPartialEq for Reduction