Struct RnnCell 

pub struct RnnCell {
    pub w_ih: Tensor,
    pub w_hh: Tensor,
    pub bias: Tensor,
    pub hidden_size: usize,
}

Vanilla RNN cell: h_t = tanh(x_t @ W_ih + h_{t-1} @ W_hh + b).

Fields

w_ih: Tensor

w_hh: Tensor

bias: Tensor

hidden_size: usize

Implementations

impl RnnCell

pub fn new(input_size: usize, hidden_size: usize) -> Result<Self, ModelError>

pub fn forward(&self, x: &Tensor, h: &Tensor) -> Result<Tensor, ModelError>

Forward one timestep: x [batch, input_size], h [batch, hidden_size] -> h’ [batch, hidden_size].

Trait Implementations

impl Clone for RnnCell

fn clone(&self) -> RnnCell

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for RnnCell

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

Formats the value using the given formatter.