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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
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* Generate some zeros tensor in the onnx simple-eval example.
* Fix the casting operation.
* Support more ops.
* Handle reshape.
* Concat.
* Softmax.
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* Add the onnx protos.
* Move the reading bits.
* Install protoc on the CI.
* Install protoc on the cuda CI too.
* Use clap for the onnx tool.
* Tweak the CI protoc install.
* Add some simple evalution function.
* Add some binary operator support.
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