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Source: onnxscript
Section: python
Homepage: https://github.com/microsoft/onnxscript
Priority: optional
Standards-Version: 4.7.0
Vcs-Git: https://salsa.debian.org/deeplearning-team/onnxscript.git
Vcs-Browser: https://salsa.debian.org/deeplearning-team/onnxscript
Maintainer: Debian Deep Learning Team <debian-ai@lists.debian.org>
Uploaders: Mo Zhou <lumin@debian.org>
Build-Depends: debhelper-compat (= 13),
dh-python,
python3-all,
python3-ml-dtypes,
python3-numpy,
python3-onnx,
python3-onnxruntime,
python3-parameterized,
python3-pip,
python3-pytest,
python3-setuptools,
python3-torch <!nocheck>,
python3-torchvision <!nocheck>,
libopenblas0 <!nocheck>,
Package: python3-onnxscript
Architecture: all
Depends: ${misc:Depends}, ${python3:Depends}
Description: naturally author ONNX functions and models using a subset of Python
ONNX Script enables developers to naturally author ONNX functions and models
using a subset of Python. ONNX Script is:
.
* Expressive: enables the authoring of all ONNX functions.
* Simple and concise: function code is natural and simple.
* Debuggable: allows for eager-mode evaluation that provides for a more
delightful ONNX model debugging experience.
.
This repo also covers:
.
* ONNX IR: an in-memory IR that supports the full ONNX spec, designed for
graph construction, analysis and transformation.
* ONNX Script Optimizer: provides functionality to optimize an ONNX model
by performing optimizations and clean-ups such as constant folding, dead
code elimination, etc.
* ONNX Rewriter: provides functionality to replace certain patterns in an
ONNX graph with replacement patterns based on user-defined rewrite rules.
.
Note however that ONNX Script does not intend to support the entirety of
the Python language.
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