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tflite2onnx - Convert TensorFlow Lite models to ONNX

Build and Test Sanity Coverage

tflite2onnx converts TensorFlow Lite (TFLite) models (*.tflite) to ONNX models (*.onnx), with data layout and quantization semantic properly handled (check the introduction blog for detail).

Highlights

Installation

Install via pip pip install tflite2onnx.

Or install from source to get latest features (please try out with virtualenv):

  1. Download the repo: git clone https://github.com/jackwish/tflite2onnx.git && cd tflite2onnx
  2. Build the package: ./scripts/build-wheel.sh
  3. Install the built package: pip install assets/dist/tflite2onnx-*.whl

Or you can just add the code tree to your $PYTHONPATH. (Command line tool is not avaiable in this mode.)

export PYTHONPATH=$(pwd):${PYTHONPATH}

Usage

Python Interface

import tflite2onnx

tflite_path = '/path/to/original/tflite/model'
onnx_path = '/path/to/save/converted/onnx/model'

tflite2onnx.convert(tflite_path, onnx_path)

tflite2onnx now supports explicit layout, check the test example.

Command Line

tflite2onnx /path/to/original/tflite/model /path/to/save/converted/onnx/model

Documentation

Contributing

Check contribution guide for more.

License

Apache License Version 2.0.