Struct PCGrad

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pub struct PCGrad;

Expand description

PCGrad: Project conflicting gradients for multi-task learning.

This implements “Gradient Surgery for Multi-Task Learning” (Yu et al., 2020). When gradients from different tasks conflict (negative cosine similarity), it projects the conflicting gradient onto the normal plane of the other.

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impl PCGrad

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pub fn apply( task_gradients: &[HashMap<String, Array<f64, Ix2>>], ) -> TrainResult<HashMap<String, Array<f64, Ix2>>>

Apply PCGrad to balance gradients from multiple tasks.

§Arguments

task_gradients - Gradients for each task and parameter

§Returns

Combined gradients with conflicts resolved

Auto Trait Implementations§

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impl UnwindSafe for PCGrad

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