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https://github.com/huggingface/candle.git
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Cleanup the pyo3 setup. (#705)
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16
Makefile
16
Makefile
@ -1,3 +1,15 @@
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pyo3-test:
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cargo build --profile=release-with-debug --package candle-pyo3
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cp -f ./target/release-with-debug/libcandle.so candle.so
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PYTHONPATH=.:$PYTHONPATH python3 candle-pyo3/test.py
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pyo3-test-macos:
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cargo build --profile=release-with-debug --package candle-pyo3
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cp -f ./target/release-with-debug/libcandle.dylib candle.so
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PYTHONPATH=.:$PYTHONPATH python3 candle-pyo3/test.py
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.PHONY: pyo3-test pyo3-test-macos clean-ptx clean test
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clean-ptx:
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find target -name "*.ptx" -type f -delete
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echo "" > candle-kernels/src/lib.rs
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@ -11,8 +23,4 @@ clean:
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test:
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cargo test
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pyo3-test:
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cargo build --profile=release-with-debug --package candle-pyo3
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python3 candle-pyo3/test.py
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all: test
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@ -16,7 +16,6 @@ pub enum Device {
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Cuda(crate::CudaDevice),
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}
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// TODO: Should we back the cpu implementation using the NdArray crate or similar?
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pub trait NdArray {
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fn shape(&self) -> Result<Shape>;
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@ -470,6 +470,7 @@ fn candle(_py: Python<'_>, m: &PyModule) -> PyResult<()> {
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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("i16", PyDType(DType::I64))?;
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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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