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PyO3: Add optional candle.onnx module (#1282)

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* Start onnx integration

* Merge remote-tracking branch 'upstream/main' into feat/pyo3-onnx

* Implement ONNXModel

* `fmt`

* add `onnx` flag to python ci

* Pin `protoc` to `25.0`

* Setup `protoc` in wheel builds

* Build wheels with `onnx`

* Install `protoc` in manylinux containers

* `apt` -> `yum`

* Download `protoc` via bash script

* Back to `manylinux: auto`

* Disable `onnx` builds for linux
This commit is contained in:
Lukas Kreussel
2023-11-08 06:37:50 +01:00
committed by GitHub
parent 7920b45c8a
commit f3a4f3db76
10 changed files with 343 additions and 6 deletions
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2
candle-onnx/src/eval.rs
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@ -98,7 +98,7 @@ fn get_attr_opt<'a, T: Attr + ?Sized>(
}
}
fn get_tensor(t: &onnx::TensorProto, name: &str) -> Result<Tensor> {
pub fn get_tensor(t: &onnx::TensorProto, name: &str) -> Result<Tensor> {
let dims: Vec<usize> = t.dims.iter().map(|&x| x as usize).collect();
match DataType::try_from(t.data_type) {
Ok(DataType::Int32) => {