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This release is a pre-release and may not be stable for production use.

ml-pipes-onnx

ml-pipes-onnx brings ONNX Runtime inference into ml-pipes.

Use this package when a model is already exported to ONNX and you want the runtime call to appear as one explicit pipeline stage. The package is intentionally thin: it handles the runtime boundary and the values immediately around that boundary, then hands model outputs to packages such as ml-pipes-tensor or ml-pipes-vision for shared postprocess.

Operators can be used as plain callables, but this package is best used inside an ml-pipes pipeline.

Package Reference

Field Value
Package ml-pipes-onnx
Guide docs/README.md
Reference docs/INDEX.md
Depends on ml-pipes-core, ml-pipes-tensor
Public modules ml_pipes.onnx
Content ONNX Runtime integration; runtime-output handling; output extraction and batch distribution

See docs/PACKAGES.md for direct package installs, umbrella profiles, and the full package matrix.

Release files for ml-pipes-onnx 0.1.2rc1

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Source distribution (sdist)

Source distribution for ml-pipes-onnx 0.1.2rc1
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Table of built distributions (wheels) for ml-pipes-onnx 0.1.2rc1
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ml_pipes_onnx-0.1.2rc1-py3-none-any.whl Python 3 none any Details

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Release files / ml_pipes_onnx-0.1.2rc1.tar.gz

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