use crate::TransformerError;
use tch::Tensor;
#[derive(Debug)]
pub struct HiddenLayer {
pub output: Tensor,
pub attention: Tensor,
}
#[derive(Debug)]
pub enum LayerOutput {
Embedding(Tensor),
EncoderWithAttention(HiddenLayer),
}
impl LayerOutput {
pub fn attention(&self) -> Option<&Tensor> {
match self {
LayerOutput::Embedding(_) => None,
LayerOutput::EncoderWithAttention(hidden) => Some(&hidden.attention),
}
}
pub fn embedding(&self) -> Option<&Tensor> {
match self {
LayerOutput::Embedding(embedding) => Some(embedding),
LayerOutput::EncoderWithAttention(_) => None,
}
}
pub fn map_output<F>(&self, f: F) -> Result<Self, TransformerError>
where
F: Fn(&Tensor) -> Result<Tensor, TransformerError>,
{
let layer = match self {
LayerOutput::Embedding(embedding) => LayerOutput::Embedding(f(embedding)?),
LayerOutput::EncoderWithAttention(HiddenLayer { output, attention }) => {
LayerOutput::EncoderWithAttention(HiddenLayer {
output: f(output)?,
attention: attention.shallow_clone(),
})
}
};
Ok(layer)
}
pub fn output(&self) -> &Tensor {
match self {
LayerOutput::Embedding(embedding) => embedding,
LayerOutput::EncoderWithAttention(hidden) => &hidden.output,
}
}
pub fn output_mut(&mut self) -> &mut Tensor {
match self {
LayerOutput::Embedding(embedding) => embedding,
LayerOutput::EncoderWithAttention(hidden) => &mut hidden.output,
}
}
pub fn encoder_with_attention(&self) -> Option<&HiddenLayer> {
match self {
LayerOutput::Embedding(_) => None,
LayerOutput::EncoderWithAttention(hidden) => Some(hidden),
}
}
}