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.
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