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CrossEntropyAttackLoss

tensorlogic_train::adversarial

Struct CrossEntropyAttackLoss

pub struct CrossEntropyAttackLoss;

Expand description

Cross-entropy loss for multi-class classification attacks.

Applies softmax internally:

loss = −Σ yᵢ · log(softmax(zᵢ) + ε)
grad = softmax(z) − y

Trait Implementations§

impl AttackLoss for CrossEntropyAttackLoss

fn loss(&self, predictions: &[f64], labels: &[f64]) -> f64

Compute the scalar loss value.

fn grad(&self, predictions: &[f64], labels: &[f64]) -> Vec<f64>

Compute the gradient of the loss with respect to predictions.

Auto Trait Implementations§

impl Freeze for CrossEntropyAttackLoss

impl RefUnwindSafe for CrossEntropyAttackLoss

impl Send for CrossEntropyAttackLoss

impl Sync for CrossEntropyAttackLoss

impl Unpin for CrossEntropyAttackLoss

impl UnsafeUnpin for CrossEntropyAttackLoss

impl UnwindSafe for CrossEntropyAttackLoss

Blanket Implementations§

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where T: 'static + ?Sized,

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