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Welcome to acuitylite's documentation!
=======================================

Acuitylite is an end-to-end neural-network deployment tool for embedded systems.
Acuitylite support converting caffe/darknet/onnx/tensorflow/tflite model to TIM-VX/TFLite case.
In addition, Acuitylite support asysmetric uint8 and sysmetric int8 quantization.

Attention: We have introduced some important changes and updated the APIs that are not compatible with the version before Acuitylite6.20.0(include).
Please read the document and demos carefully.

Indices and tables
==================

* :ref:`genindex`
* :ref:`search`

.. toctree::
   :maxdepth: 2
   :caption: Guide

   README.md

.. toctree::
   :maxdepth: 2
   :caption: API Reference

   api

.. toctree::
   :maxdepth: 2
   :caption: Demo

   demo_caffe
   demo_darknet
   demo_onnx
   demo_tensorflow
   demo_tflite

Support
=======
create issue on github or email to ML_Support@verisilicon.com