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

ml-pipes-tensor

ml-pipes-tensor is the shared tensor workbench for ml-pipes.

Use this package when a pipeline needs NumPy-side tensor shaping, ranking, masking, filtering, collation, or light arithmetic between a runtime boundary and a typed task result. In practice, it often carries the reusable tensor postprocess that sits after ONNX or Torch output extraction and before a task package such as vision finalizes the result.

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-tensor
Guide docs/README.md
Reference docs/INDEX.md
Depends on ml-pipes-core
Public modules ml_pipes.tensor
Content shared tensor values; NumPy-side tensor shaping and selection; masking, ranking, collation, and light arithmetic

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

Release files for ml-pipes-tensor 0.1.2rc1

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Source distribution (sdist)

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

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Release files / ml_pipes_tensor-0.1.2rc1.tar.gz

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