Struct LinearLR 

pub struct LinearLR { /* private fields */ }

Linearly interpolate the learning rate from start_factor * initial_lr to end_factor * initial_lr over total_steps steps.

After total_steps, the LR stays at end_factor * initial_lr.

Implementations

impl LinearLR

pub fn new( initial_lr: f64, start_factor: f64, end_factor: f64, total_steps: u64, ) -> LinearLR

Trait Implementations

impl LrScheduler for LinearLR

fn step(&mut self) -> f64

Advance by one step and return the new learning rate.

fn current_lr(&self) -> f64

Get the current learning rate without advancing.

fn current_step(&self) -> u64

Get the current step count.

fn reset(&mut self)

Reset the scheduler to step 0.

fn set_step(&mut self, step: u64)

Set the internal step counter to a specific value (for checkpoint restore).