mirror of
https://github.com/huggingface/candle.git
synced 2025-06-17 19:18:50 +00:00
Remove tracing.
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@ -12,7 +12,6 @@ readme = "README.md"
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[dependencies]
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accelerate-src = { workspace = true, optional = true }
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byteorder = { workspace = true }
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tracing = { workspace = true }
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candle-kernels = { path = "../candle-kernels", version = "0.3.0", optional = true }
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metal = { workspace = true, optional = true}
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cudarc = { workspace = true, optional = true }
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@ -1,6 +1,6 @@
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use crate::backend::BackendDevice;
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use crate::cpu_backend::CpuDevice;
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use crate::{bail, CpuStorage, DType, Result, Shape, Storage, WithDType};
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use crate::{CpuStorage, DType, Result, Shape, Storage, WithDType};
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/// A `DeviceLocation` represents a physical device whereas multiple `Device`
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/// can live on the same location (typically for cuda devices).
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@ -105,14 +105,14 @@ impl<S: WithDType, const N1: usize, const N2: usize, const N3: usize, const N4:
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impl<S: NdArray> NdArray for Vec<S> {
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fn shape(&self) -> Result<Shape> {
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if self.is_empty() {
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bail!("empty array")
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crate::bail!("empty array")
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}
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let shape0 = self[0].shape()?;
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let n = self.len();
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for v in self.iter() {
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let shape = v.shape()?;
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if shape != shape0 {
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bail!("two elements have different shapes {shape:?} {shape0:?}")
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crate::bail!("two elements have different shapes {shape:?} {shape0:?}")
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}
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}
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Ok(Shape::from([[n].as_slice(), shape0.dims()].concat()))
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@ -166,6 +166,10 @@ impl Device {
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matches!(self, Self::Cuda(_))
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}
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pub fn is_metal(&self) -> bool {
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matches!(self, Self::Metal(_))
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}
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pub fn cuda_if_available(ordinal: usize) -> Result<Self> {
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if crate::utils::cuda_is_available() {
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Self::new_cuda(ordinal)
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@ -199,7 +203,7 @@ impl Device {
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Device::Metal(_device) => {
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// let storage = device.rand_uniform(shape, dtype, lo, up)?;
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// Ok(Storage::Metal(storage))
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bail!("Metal rand_uniform not implemented")
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crate::bail!("Metal rand_uniform not implemented")
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}
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}
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}
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