Metadata-Version: 2.1
Name: shrub
Version: 0.0.3
Summary: Better Experience of Developping Deep Learning Systems
Home-page: https://jackwish.net/shrub
Author: 王振华（Zhenhua WANG）
Author-email: i@jackwish.net
License: Apache License 2.0
Project-URL: Bug Reports, https://github.com/jackwish/shrub/issues
Project-URL: Source, https://github.com/jackwish/shrub
Keywords: tflite,onnx,tvm,deep-learning
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.5.*, <4
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: onnx
Requires-Dist: onnxruntime
Requires-Dist: pillow
Requires-Dist: tensorflow (>=2.0.0)
Requires-Dist: tflite

Shrub - Better Experience of Developping Deep Learning Systems
==============================================================

[![Build and Test](https://github.com/jackwish/shrub/workflows/Build%20and%20Test/badge.svg)](https://github.com/jackwish/shrub/actions?query=workflow%3A%22Build+and+Test%22)
[![Sanity](https://github.com/jackwish/shrub/workflows/Sanity/badge.svg)](https://github.com/jackwish/shrub/actions?query=workflow%3ASanity)
[![Coverage](https://codecov.io/gh/jackwish/shrub/branch/master/graph/badge.svg)](https://codecov.io/gh/jackwish/shrub)


Have you been tired of writing similar testing code for your deep learning system?
Have you asked yourself why I am repeating test example one after another?
**Shrub** is here for you, a collection of utilities that aims to
improve your experience of developping deep learning system.

Create tensors, manipulate layouts and data types of them;
use same model description with layout-aware for different systems;
manage data for numerous frameworks, or engines, and validate them;
and son on.


## Usage

Install via `pip install shrub`. *A lot dependency will be installed too, take care of that.*

`shrub.network` is where the `Tensor` and `Model` locates.
Others are basically runners, try and hack them!
[API documents](https://jackwish.net/shrub/docs)


## Contributing

Contributions are welcome!

Bring any greate idea here, bring any barrier here, bring the code here,
to help engineers and reseachers who are just like yourself.
And they will certainly help you back.


## License

Apache License Version 2.0


