Struct RMSNorm

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pub struct RMSNorm {
    pub weight: Tensor,
    pub eps: f32,
}

Expand description

Root-mean-square layer norm over the last dimension.

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§weight: Tensor

Per-feature scale [hidden].

§eps: f32

Epsilon added to the mean square.

Implementations§

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impl RMSNorm

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pub fn new(weight: Tensor, eps: f32) -> Self

Wraps a scale vector and epsilon.

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pub fn forward(&self, engine: &ComputeEngine, input: &Tensor) -> Tensor

Normalises input over its last dimension.

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pub fn params(&self) -> Vec<Tensor>

Trainable tensors (weights, then any LoRA adapters).

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pub fn named_params(&self, prefix: &str) -> HashMap<String, Tensor>

Parameters keyed by Hugging Face-style names under prefix.

Auto Trait Implementations§

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impl UnsafeUnpin for RMSNorm

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