mirror of
https://github.com/huggingface/candle.git
synced 2025-06-19 11:56:45 +00:00
Pyo3 dtype (#327)
* Better handling of dtypes in pyo3. * More pyo3 dtype.
This commit is contained in:
@ -40,21 +40,30 @@ impl std::ops::Deref for PyTensor {
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}
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#[derive(Clone, Copy, Debug, PartialEq, Eq)]
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#[pyclass(name = "DType")]
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struct PyDType(DType);
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impl<'source> FromPyObject<'source> for PyDType {
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fn extract(ob: &'source PyAny) -> PyResult<Self> {
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use std::str::FromStr;
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let dtype: &str = ob.extract()?;
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let dtype = DType::from_str(dtype)
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.map_err(|_| PyTypeError::new_err(format!("invalid dtype '{dtype}'")))?;
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Ok(Self(dtype))
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#[pymethods]
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impl PyDType {
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fn __repr__(&self) -> String {
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format!("{:?}", self.0)
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}
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fn __str__(&self) -> String {
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self.__repr__()
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}
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}
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impl ToPyObject for PyDType {
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fn to_object(&self, py: Python<'_>) -> PyObject {
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self.0.as_str().to_object(py)
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impl PyDType {
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fn from_pyobject(ob: PyObject, py: Python<'_>) -> PyResult<Self> {
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use std::str::FromStr;
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if let Ok(dtype) = ob.extract::<&str>(py) {
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let dtype = DType::from_str(dtype)
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.map_err(|_| PyTypeError::new_err(format!("invalid dtype '{dtype}'")))?;
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Ok(Self(dtype))
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} else {
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ob.extract(py)
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}
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}
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}
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@ -223,8 +232,8 @@ impl PyTensor {
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}
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#[getter]
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fn dtype(&self, py: Python<'_>) -> PyObject {
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PyDType(self.0.dtype()).to_object(py)
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fn dtype(&self) -> PyDType {
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PyDType(self.0.dtype())
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}
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#[getter]
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@ -367,7 +376,8 @@ impl PyTensor {
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Ok(PyTensor(self.0.copy().map_err(wrap_err)?))
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}
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fn to_dtype(&self, dtype: PyDType) -> PyResult<Self> {
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fn to_dtype(&self, dtype: PyObject, py: Python<'_>) -> PyResult<Self> {
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let dtype = PyDType::from_pyobject(dtype, py)?;
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Ok(PyTensor(self.0.to_dtype(dtype.0).map_err(wrap_err)?))
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}
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@ -416,12 +426,15 @@ fn randn(_py: Python<'_>, shape: PyShape, device: Option<PyDevice>) -> PyResult<
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#[pyfunction]
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#[pyo3(signature = (shape, *, dtype=None, device=None))]
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fn ones(
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_py: Python<'_>,
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py: Python<'_>,
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shape: PyShape,
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dtype: Option<PyDType>,
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dtype: Option<PyObject>,
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device: Option<PyDevice>,
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) -> PyResult<PyTensor> {
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let dtype = dtype.map_or(DType::F32, |dt| dt.0);
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let dtype = match dtype {
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None => DType::F32,
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Some(dtype) => PyDType::from_pyobject(dtype, py)?.0,
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};
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let device = device.unwrap_or(PyDevice::Cpu).as_device()?;
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let tensor = Tensor::ones(shape.0, dtype, &device).map_err(wrap_err)?;
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Ok(PyTensor(tensor))
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@ -430,12 +443,15 @@ fn ones(
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#[pyfunction]
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#[pyo3(signature = (shape, *, dtype=None, device=None))]
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fn zeros(
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_py: Python<'_>,
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py: Python<'_>,
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shape: PyShape,
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dtype: Option<PyDType>,
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dtype: Option<PyObject>,
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device: Option<PyDevice>,
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) -> PyResult<PyTensor> {
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let dtype = dtype.map_or(DType::F32, |dt| dt.0);
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let dtype = match dtype {
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None => DType::F32,
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Some(dtype) => PyDType::from_pyobject(dtype, py)?.0,
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};
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let device = device.unwrap_or(PyDevice::Cpu).as_device()?;
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let tensor = Tensor::zeros(shape.0, dtype, &device).map_err(wrap_err)?;
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Ok(PyTensor(tensor))
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@ -444,6 +460,13 @@ fn zeros(
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#[pymodule]
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fn candle(_py: Python<'_>, m: &PyModule) -> PyResult<()> {
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m.add_class::<PyTensor>()?;
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m.add_class::<PyDType>()?;
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m.add("u8", PyDType(DType::U8))?;
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m.add("u32", PyDType(DType::U32))?;
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m.add("bf16", PyDType(DType::BF16))?;
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m.add("f16", PyDType(DType::F16))?;
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m.add("f32", PyDType(DType::F32))?;
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m.add("f64", PyDType(DType::F64))?;
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m.add_function(wrap_pyfunction!(cat, m)?)?;
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m.add_function(wrap_pyfunction!(ones, m)?)?;
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m.add_function(wrap_pyfunction!(rand, m)?)?;
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