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https://github.com/huggingface/candle.git
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feat: add pth varbuilder (#1108)
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@ -191,6 +191,7 @@ impl<'a, B: Backend> VarBuilderArgs<'a, B> {
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}
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struct Zeros;
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impl SimpleBackend for Zeros {
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fn get(&self, s: Shape, _: &str, _: crate::Init, dtype: DType, dev: &Device) -> Result<Tensor> {
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Tensor::zeros(s, dtype, dev)
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@ -325,6 +326,39 @@ impl SimpleBackend for candle::npy::NpzTensors {
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}
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}
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impl SimpleBackend for candle::pickle::PthTensors {
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fn get(
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&self,
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s: Shape,
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path: &str,
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_: crate::Init,
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dtype: DType,
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dev: &Device,
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) -> Result<Tensor> {
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let tensor = match self.get(path)? {
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None => Err(Error::CannotFindTensor {
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path: path.to_string(),
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}
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.bt())?,
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Some(tensor) => tensor,
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};
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let tensor = tensor.to_device(dev)?.to_dtype(dtype)?;
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if tensor.shape() != &s {
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Err(candle::Error::UnexpectedShape {
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msg: format!("shape mismatch for {path}"),
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expected: s,
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got: tensor.shape().clone(),
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}
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.bt())?
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}
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Ok(tensor)
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}
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fn contains_tensor(&self, name: &str) -> bool {
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self.get(name).map_or(false, |v| v.is_some())
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}
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}
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impl SimpleBackend for candle::safetensors::MmapedSafetensors {
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fn get(
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&self,
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@ -438,9 +472,16 @@ impl<'a> VarBuilder<'a> {
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let npz = candle::npy::NpzTensors::new(p)?;
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Ok(Self::new(Box::new(npz), dtype, dev.clone()))
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}
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/// Initializes a `VarBuilder` that retrieves tensors stored in a pytorch pth file.
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pub fn from_pth<P: AsRef<std::path::Path>>(p: P, dtype: DType, dev: &Device) -> Result<Self> {
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let pth = candle::pickle::PthTensors::new(p)?;
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Ok(Self::new(Box::new(pth), dtype, dev.clone()))
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}
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}
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pub struct ShardedSafeTensors(candle::safetensors::MmapedSafetensors);
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pub type ShardedVarBuilder<'a> = VarBuilderArgs<'a, ShardedSafeTensors>;
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impl ShardedSafeTensors {
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