Struct Linear 

pub struct Linear { /* private fields */ }

Linear transformation layer (weight matrix multiplication)

Implementations

impl Linear

pub fn new(input_dim: usize, output_dim: usize) -> Self

Create a new linear layer with Xavier/Glorot initialization. Uses a deterministic seeded RNG (faster than thread_rng on all platforms, especially ARM64) while still producing well-distributed weights.

pub fn forward(&self, input: &[f32]) -> Vec<f32>

Forward pass: y = Wx + b

pub fn output_dim(&self) -> usize

Get output dimension

Trait Implementations

impl Clone for Linear

fn clone(&self) -> Linear

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for Linear

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for Linear

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for Linear

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.