Struct Knowledge Distillation Trainer &nbsp; Copy item path

impl<T, S> KnowledgeDistillationTrainer<T, S>
where T: Model, S: Model,

pub fn new(teacher: T, student: S, config: DistillationConfig) -> Result<Self>

Create a new knowledge distillation trainer

pub fn compute_distillation_loss( &self, teacher_outputs: &TeacherOutputs, student_outputs: &StudentOutputs, hard_targets: Option<&Tensor>, ) -> Result<DistillationOutput>

Compute distillation loss

pub fn step(&mut self)

Update training step and potentially stage for progressive distillation

pub fn current_temperature(&self) -> f32

Get current temperature (useful for progressive distillation)

pub fn current_alpha(&self) -> f32

Get current alpha (useful for progressive distillation)

Auto Trait Implementations§

impl<T, S> Freeze for KnowledgeDistillationTrainer<T, S>
where T: Freeze, S: Freeze,

impl<T, S> RefUnwindSafe for KnowledgeDistillationTrainer<T, S>
where T: RefUnwindSafe, S: RefUnwindSafe,

impl<T, S> Send for KnowledgeDistillationTrainer<T, S>
where T: Send, S: Send,

impl<T, S> Sync for KnowledgeDistillationTrainer<T, S>
where T: Sync, S: Sync,

impl<T, S> Unpin for KnowledgeDistillationTrainer<T, S>
where T: Unpin, S: Unpin,

impl<T, S> UnsafeUnpin for KnowledgeDistillationTrainer<T, S>
where T: UnsafeUnpin, S: UnsafeUnpin,

impl<T, S> UnwindSafe for KnowledgeDistillationTrainer<T, S>
where T: UnwindSafe, S: UnwindSafe,

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where T: 'static + ?Sized,

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