Struct RnnLayer 

pub struct RnnLayer {
    pub input_size: usize,
    pub hidden_size: usize,
    pub w_ih: Tensor,
    pub w_hh: Tensor,
    pub b_h: Tensor,
    /* private fields */
}

RNN layer wrapping rnn_forward_sequence.

Input: [seq_len, input_size], output: [seq_len, hidden_size].

Fields

input_size: usize

hidden_size: usize

w_ih: Tensor

w_hh: Tensor

b_h: Tensor

Implementations

impl RnnLayer

pub fn new(input_size: usize, hidden_size: usize, seed: u64) -> Self

Creates an RNN layer with small random weights seeded by seed.

pub fn w_ih_node(&self) -> Option<NodeId>

pub fn register_params(&mut self, graph: &mut Graph)

pub fn forward( &self, graph: &mut Graph, input: NodeId, ) -> Result<NodeId, ModelError>

pub fn forward_inference(&self, input: &Tensor) -> Result<Tensor, ModelError>

Forward inference: input [seq_len, input_size] -> [seq_len, hidden_size].

Trait Implementations

impl Clone for RnnLayer

fn clone(&self) -> RnnLayer

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for RnnLayer

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

Formats the value using the given formatter.