Struct TransformerEncoder 

pub struct TransformerEncoder {
    pub layers: Vec<TransformerEncoderBlock>,
}

Stack of transformer encoder blocks.

Fields

layers: Vec<TransformerEncoderBlock>

Encoder layers

Implementations

impl TransformerEncoder

pub fn new( num_layers: usize, hidden_size: usize, num_heads: usize, intermediate_size: usize, dropout: f32, layer_norm_eps: f32, activation: &str, pre_norm: bool, ) -> Self

Creates a new transformer encoder stack.

pub fn forward_with_mask( &self, hidden_states: &Variable, attention_mask: Option<&Tensor<f32>>, ) -> Variable

Forward pass with optional attention mask.

Trait Implementations

impl Debug for TransformerEncoder

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

Formats the value using the given formatter.

impl Module for TransformerEncoder

fn forward(&self, input: &Variable) -> Variable

Performs the forward pass.

fn parameters(&self) -> Vec<Parameter>

Returns all parameters of this module.

fn train(&mut self)

Sets the module to training mode.

fn eval(&mut self)

Sets the module to evaluation mode.

fn named_parameters(&self) -> HashMap<String, Parameter>

Returns named parameters of this module.

fn num_parameters(&self) -> usize

Returns the number of trainable parameters.

fn set_training(&mut self, _training: bool)

Sets the training mode.

fn is_training(&self) -> bool

Returns whether the module is in training mode.

fn zero_grad(&self)

Zeros all gradients of parameters.

fn name(&self) -> &'static str

Returns the module name for debugging.