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|
use candle::{Module, Result, Tensor};
use candle_nn::VarBuilder;
#[derive(Debug, Clone)]
pub struct Embedding {
inner: candle_nn::Embedding,
span: tracing::Span,
}
impl Embedding {
pub fn new(d1: usize, d2: usize, vb: VarBuilder) -> Result<Self> {
let inner = candle_nn::embedding(d1, d2, vb)?;
let span = tracing::span!(tracing::Level::TRACE, "embedding");
Ok(Self { inner, span })
}
pub fn embeddings(&self) -> &Tensor {
self.inner.embeddings()
}
}
impl Module for Embedding {
fn forward(&self, xs: &Tensor) -> Result<Tensor> {
let _enter = self.span.enter();
self.inner.forward(xs)
}
}
#[derive(Debug, Clone)]
pub struct Linear {
inner: candle_nn::Linear,
span: tracing::Span,
}
impl Linear {
pub fn from_weights(weights: Tensor, bias: Option<Tensor>) -> Self {
let inner = candle_nn::Linear::new(weights, bias);
let span = tracing::span!(tracing::Level::TRACE, "linear");
Self { inner, span }
}
}
pub fn linear(d1: usize, d2: usize, vb: VarBuilder) -> Result<Linear> {
let inner = candle_nn::linear(d1, d2, vb)?;
let span = tracing::span!(tracing::Level::TRACE, "linear");
Ok(Linear { inner, span })
}
pub fn linear_no_bias(d1: usize, d2: usize, vb: VarBuilder) -> Result<Linear> {
let inner = candle_nn::linear_no_bias(d1, d2, vb)?;
let span = tracing::span!(tracing::Level::TRACE, "linear");
Ok(Linear { inner, span })
}
impl Module for Linear {
fn forward(&self, xs: &Tensor) -> Result<Tensor> {
let _enter = self.span.enter();
self.inner.forward(xs)
}
}
// Wrap the conv2d op to provide some tracing.
#[derive(Debug, Clone)]
pub struct Conv2d {
inner: candle_nn::Conv2d,
span: tracing::Span,
}
impl Module for Conv2d {
fn forward(&self, x: &Tensor) -> Result<Tensor> {
let _enter = self.span.enter();
self.inner.forward(x)
}
}
pub fn conv2d(
in_channels: usize,
out_channels: usize,
kernel_size: usize,
cfg: candle_nn::Conv2dConfig,
vs: candle_nn::VarBuilder,
) -> Result<Conv2d> {
let span = tracing::span!(tracing::Level::TRACE, "conv2d");
let inner = candle_nn::conv2d(in_channels, out_channels, kernel_size, cfg, vs)?;
Ok(Conv2d { inner, span })
}
// QMatMul wrapper adding some tracing.
#[derive(Clone)]
pub struct QMatMul {
inner: candle::quantized::QMatMul,
span: tracing::Span,
}
impl QMatMul {
pub fn new(
out_dim: usize,
in_dim: usize,
vb: crate::quantized_var_builder::VarBuilder,
) -> Result<Self> {
let ws = vb.get((in_dim, out_dim), "weight")?;
let inner = candle::quantized::QMatMul::from_arc(ws)?;
let span = tracing::span!(tracing::Level::TRACE, "qmatmul");
Ok(Self { inner, span })
}
}
impl Module for QMatMul {
fn forward(&self, xs: &Tensor) -> Result<Tensor> {
let _enter = self.span.enter();
self.inner.forward(xs)
}
}
impl std::fmt::Debug for QMatMul {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
write!(f, "QMatMul")
}
}
|
