A library for true-quantization and optimization of neural networks.
Deeploy is developed as part of the PULP project, a joint effort between ETH Zurich and the University of Bologna.
Unless specified otherwise in the respective file headers, all code checked into this repository is made available under a permissive license. All software sources and tool scripts are licensed under Apache 2.0, except for files contained in the scripts directory, which are licensed under the MIT license, and files contained in the DeeployTest/Testsdirectory, which are licensed under the Creative Commons Attribution-NoDerivates 4.0 International license (CC BY-ND 4.0).
Start by creating a new env with Python 3.11 or higher. Then clone the repo and install the library as an editable package with:
pip install -e .
We provide comprehensive tests with pytest, to execute all tests, simply run pytest. We mark our tests in two categories, SingleLayerTests and ModelTests, to execute the tests of the specific category, you can run pytest -m <category>. For instance, to execute only the single layer tests, you can run pytest -m SingleLayerTests.
This library is currently in beta stage and under active development. Interfaces and features are subject to change, and stability is not yet guaranteed. Use at your own risk, and feel free to report any issues or contribute to its improvement.