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LayerNorm

Struct LayerNorm 

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pub struct LayerNorm {
    pub weight: Option<Param>,
    pub bias: Option<Param>,
    pub eps: f32,
}
Expand description

Layer normalisation over the last axis, optionally with a learned scale and bias (MLX’s nn.LayerNorm, the fused fast::layer_norm).

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§weight: Option<Param>

The scale, [dims] (ones), if affine.

§bias: Option<Param>

The shift, [dims] (zeros), if affine with a bias.

§eps: f32

Added to the variance (MLX’s default 1e-5).

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impl LayerNorm

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pub fn new(dims: i32) -> Self

A layer over dims features with MLX’s defaults: affine with a bias, eps = 1e-5.

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pub fn eps(self, eps: f32) -> Self

Sets eps.

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pub fn affine(self, affine: bool) -> Self

With (true, the default) or without a learned scale and shift (MLX’s affine).

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pub fn without_bias(self) -> Self

Without the learned shift (MLX’s bias=False).

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pub fn forward(&self, x: &Array) -> Array

The normalised x.

Trait Implementations§

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impl Clone for LayerNorm

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fn clone(&self) -> Self

Returns a duplicate of the value. Read more
1.0.0 (const: unstable) · Source§

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for LayerNorm

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more
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impl Leaves for LayerNorm

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fn visit(&self, __v: &mut Visit<'_>)

Reports every leaf (and child tree, enum variant, mode flag and static field) to v, in order.
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impl Tree for LayerNorm
where Self: Clone,

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fn visit_mut(&mut self, __v: &mut VisitMut<'_>)

Reports every leaf (and child tree and mode flag) to v mutably, in the order of Leaves::visit.
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fn for_each(&self, f: impl FnMut(&str, &Array))

Calls f(path, leaf) for every leaf, in order.
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fn map(&self, f: impl FnMut(&str, &Array) -> Array) -> Self

The tree with every leaf replaced by f(path, leaf) (same structure; parameters keep their frozen flag).
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fn leaves(&self) -> Vec<Array>

The leaves, in order.
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fn paths(&self) -> Vec<String>

The leaves’ paths, in order.
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fn flatten(&self) -> Vec<(String, Array)>

The leaves with their paths, in order (MLX’s tree_flatten).
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fn unflatten( &self, leaves: impl IntoIterator<Item = Array>, ) -> Result<Self, Error>

A tree of this structure (self is the template) with leaves in order: exactly Tree::len of them, else an error naming both counts.
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fn load_flat( &mut self, named: impl IntoIterator<Item = (String, Array)>, mode: LoadMode, ) -> Result<(), Error>

Replaces leaves by path. LoadMode::Strict requires exactly the tree’s paths with matching shapes; LoadMode::Partial assigns the matching names and ignores unknown ones (shapes must still match). Loaded dtypes are kept. On any problem the error lists every one (missing, unknown and mismatched names, sorted) and the tree is unchanged. Duplicate paths (in the tree or in named) are an error.
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fn len(&self) -> usize

The number of leaves.
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fn is_empty(&self) -> bool

Whether the tree has no leaves.
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fn def(&self) -> TreeDef

The tree’s structure.

Auto Trait Implementations§

Blanket Implementations§

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impl<T> Any for T
where T: 'static + ?Sized,

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fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more
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impl<T> AutoreleaseSafe for T
where T: ?Sized,

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impl<T> Borrow<T> for T
where T: ?Sized,

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fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more
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impl<T> BorrowMut<T> for T
where T: ?Sized,

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fn borrow_mut(&mut self) -> &mut T

Mutably borrows from an owned value. Read more
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impl<ST, DT> CastableFrom<ST, Initialized, Initialized> for DT
where ST: ?Sized, DT: ?Sized,

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impl<ST, DT> CastableFrom<ST, Uninit, Uninit> for DT
where ST: ?Sized, DT: ?Sized,

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impl<T> CloneToUninit for T
where T: Clone,

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unsafe fn clone_to_uninit(&self, dest: *mut u8)

🔬This is a nightly-only experimental API. (clone_to_uninit)
Performs copy-assignment from self to dest. Read more
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impl<T> From<T> for T

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fn from(t: T) -> T

Returns the argument unchanged.

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impl<T, U> Into<U> for T
where U: From<T>,

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fn into(self) -> U

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

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impl<T> IntoEither for T

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fn into_either(self, into_left: bool) -> Either<Self, Self> ⓘ

Converts self into a Left variant of Either<Self, Self> if into_left is true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more
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fn into_either_with<F>(self, into_left: F) -> Either<Self, Self> ⓘ
where F: FnOnce(&Self) -> bool,

Converts self into a Left variant of Either<Self, Self> if into_left(&self) returns true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more
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impl<T> IntoResult for T
where T: Tree,

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type Ok = T

The value.
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fn into_result(self) -> Result<T, Error>

The value, or the closure’s error.
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impl<T> Module for T
where T: Tree,

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fn parameters(&self) -> Vec<(String, Array)>

Every leaf (parameters, buffers and plain arrays) with its path, in order.
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fn trainable_parameters(&self) -> Vec<(String, Array)>

The trainable leaves with their paths, in order.
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fn num_params(&self) -> usize

The number of elements over every leaf (MLX’s tree_flatten total).
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fn num_trainable(&self) -> usize

The number of elements over the trainable leaves.
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fn summary(&self) -> Summary

A table of the leaves (path, shape, dtype, trainable, bytes) with totals.
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fn display(&self) -> ModuleDisplay<'_, Self>

The nested modules with their parameter counts, for printing: println!("{}", model.display()).
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fn freeze(&mut self, filter: impl Fn(&str) -> bool) -> Result<usize>

Freezes the parameters whose path matches filter, returning how many changed. A matching plain Array leaf cannot be frozen (only Params can): that is an error naming the paths, and nothing changes. Buffers are never trainable anyway.
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fn unfreeze(&mut self, filter: impl Fn(&str) -> bool) -> Result<usize>

Unfreezes the parameters whose path matches filter, returning how many changed. Buffers (quantized weights) and integer parameters stay non-trainable.
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fn train(&mut self, on: bool)

Sets every mode flag of the tree: training (true, the default) or evaluation (false, where dropout is the identity), as MLX’s Module.train(mode). (There is no eval(): it would read like x.eval(), which evaluates.)
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fn training(&self) -> bool

Whether the tree is in training mode (its first mode flag; true without any).
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fn load_weights(&mut self, src: impl WeightSource) -> Result<()>

Replaces leaves by name, strictly (MLX’s load_weights(strict=True)): every leaf must be given with its shape and nothing else (loaded dtypes are kept). On any problem the error lists every missing, unknown and mismatched name, and the model is unchanged. src is a safetensors path or named arrays.
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fn load_weights_partial(&mut self, src: impl WeightSource) -> Result<()>

Replaces the leaves given by name (MLX’s load_weights(strict=False)): unknown names are ignored, missing leaves keep their values, shapes must match.
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fn save_weights(&self, path: impl AsRef<Path>) -> Result<()>

Writes every leaf as safetensors with MLX’s names and dtypes (MLX’s save_weights), evaluating them. Unloaded placeholders are an error naming them.
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fn save_trainable(&self, path: impl AsRef<Path>) -> Result<()>

Writes only the trainable leaves (an adapter’s weights, say).
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fn map_modules<T: Tree>( &mut self, filter: impl Fn(&str) -> bool, f: impl FnMut(&str, &mut T) -> Result<()>, ) -> Result<usize>

Calls f(path, submodule) on every submodule of type T whose path matches filter (f may replace it, as when applying LoRA), returning how many. It stops at the first error from f; submodules changed before it keep their change. Matching submodules are not searched for further matches.
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impl<T> Pointable for T

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const ALIGN: usize

The alignment of pointer.
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type Init = T

The type for initializers.
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unsafe fn init(init: <T as Pointable>::Init) -> usize

Initializes a with the given initializer. Read more
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unsafe fn deref<'a>(ptr: usize) -> &'a T

Dereferences the given pointer. Read more
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unsafe fn deref_mut<'a>(ptr: usize) -> &'a mut T

Mutably dereferences the given pointer. Read more
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unsafe fn drop(ptr: usize)

Drops the object pointed to by the given pointer. Read more
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impl<T> Read<Exclusive, BecauseExclusive> for T
where T: ?Sized,

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impl<T> ToOwned for T
where T: Clone,

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type Owned = T

The resulting type after obtaining ownership.
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fn to_owned(&self) -> T

Creates owned data from borrowed data, usually by cloning. Read more
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fn clone_into(&self, target: &mut T)

Uses borrowed data to replace owned data, usually by cloning. Read more
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impl<T, U> TryFrom<U> for T
where U: Into<T>,

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type Error = !

The type returned in the event of a conversion error.
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fn try_from(value: U) -> Result<T, !>

Performs the conversion.
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impl<T, U> TryInto<U> for T
where U: TryFrom<T>,

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type Error = <U as TryFrom<T>>::Error

The type returned in the event of a conversion error.
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fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>

Performs the conversion.