Struct SmoothL1Loss 

pub struct SmoothL1Loss { /* private fields */ }

Smooth L1 Loss (Huber Loss).

Combines MSE and L1: uses squared error for small values, linear error for large values.

loss = 0.5 * x² / beta,  if |x| < beta
     = |x| - 0.5 * beta, otherwise

Implementations

impl SmoothL1Loss

pub fn new() -> Self

pub fn with_beta(beta: f32) -> Self

pub fn forward(&self, pred: &Tensor, target: &Tensor) -> Tensor

Trait Implementations

impl Clone for SmoothL1Loss

fn clone(&self) -> SmoothL1Loss

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for SmoothL1Loss

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

Formats the value using the given formatter.

impl Default for SmoothL1Loss

fn default() -> Self

Returns the “default value” for a type.

impl Copy for SmoothL1Loss