Metadata-Version: 2.4
Name: ml-pipes-tensor
Version: 0.1.0rc2
Summary: Tensor payloads and tensor registry operators for ml-pipes
Project-URL: Homepage, https://github.com/trained-by-humans/ml-pipes
Project-URL: Documentation, https://github.com/trained-by-humans/ml-pipes/blob/main/packages/tensor/docs/INDEX.md
Project-URL: Repository, https://github.com/trained-by-humans/ml-pipes
Project-URL: Issues, https://github.com/trained-by-humans/ml-pipes/issues
Project-URL: Changelog, https://github.com/trained-by-humans/ml-pipes/releases
License-Expression: Apache-2.0
License-File: LICENSE
Keywords: machine-learning,numpy,pipelines,postprocess,tensor
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Libraries :: Application Frameworks
Requires-Python: >=3.10
Requires-Dist: ml-pipes-core==0.1.0rc2
Requires-Dist: numpy>=1.26
Description-Content-Type: text/markdown

# 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`](https://github.com/trained-by-humans/ml-pipes/blob/main/packages/tensor/docs/README.md)       |
| Reference      | [`docs/INDEX.md`](https://github.com/trained-by-humans/ml-pipes/blob/main/packages/tensor/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`](https://github.com/trained-by-humans/ml-pipes/blob/main/docs/PACKAGES.md)
for direct package installs, umbrella profiles, and the full package matrix.
