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| author | Laurent Mazare <laurent.mazare@gmail.com> | 2023-08-23 10:42:19 +0100 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2023-08-23 10:42:19 +0100 |
| commit | 9a5c7db91a40bfeab1dbaf1622c67a21f5ad19b8 (patch) | |
| tree | 4c7fef2cdb78409ca30e14981c783d717cd49f97 /candle-pyo3 | |
| parent | 3743bed2d7bc02069770902e4a956aeabaef5453 (diff) | |
| download | candle-9a5c7db91a40bfeab1dbaf1622c67a21f5ad19b8.tar.gz candle-9a5c7db91a40bfeab1dbaf1622c67a21f5ad19b8.tar.bz2 candle-9a5c7db91a40bfeab1dbaf1622c67a21f5ad19b8.zip | |
Add support for i64 (#563)
* Add the i64 dtype.
* Adapt the cuda kernels.
Diffstat (limited to 'candle-pyo3')
| -rw-r--r-- | candle-pyo3/src/lib.rs | 6 |
1 files changed, 6 insertions, 0 deletions
diff --git a/candle-pyo3/src/lib.rs b/candle-pyo3/src/lib.rs index 1ff4db06..b3cc9374 100644 --- a/candle-pyo3/src/lib.rs +++ b/candle-pyo3/src/lib.rs @@ -136,6 +136,7 @@ macro_rules! pydtype { } pydtype!(u8, |v| v); pydtype!(u32, |v| v); +pydtype!(i64, |v| v); pydtype!(f16, f32::from); pydtype!(bf16, f32::from); pydtype!(f32, |v| v); @@ -150,6 +151,7 @@ trait MapDType { match t.dtype() { DType::U8 => self.f::<u8>(t), DType::U32 => self.f::<u32>(t), + DType::I64 => self.f::<i64>(t), DType::BF16 => self.f::<bf16>(t), DType::F16 => self.f::<f16>(t), DType::F32 => self.f::<f32>(t), @@ -166,8 +168,12 @@ impl PyTensor { use Device::Cpu; let tensor = if let Ok(vs) = vs.extract::<u32>(py) { Tensor::new(vs, &Cpu).map_err(wrap_err)? + } else if let Ok(vs) = vs.extract::<i64>(py) { + Tensor::new(vs, &Cpu).map_err(wrap_err)? } else if let Ok(vs) = vs.extract::<Vec<u32>>(py) { Tensor::new(vs.as_slice(), &Cpu).map_err(wrap_err)? + } else if let Ok(vs) = vs.extract::<Vec<i64>>(py) { + Tensor::new(vs.as_slice(), &Cpu).map_err(wrap_err)? } else if let Ok(vs) = vs.extract::<f32>(py) { Tensor::new(vs, &Cpu).map_err(wrap_err)? } else if let Ok(vs) = vs.extract::<Vec<f32>>(py) { |