Revision as of 10:21, 7 April 2023 by Registered User (Created page with "To convert a .tflite model to the ONNX format, ONNX provides a tool named {{Highlight|tf2onnx <ref name=tf2onnx_url>[https://github.com/onnx/tensorflow-onnx tf2onnx]</ref>}},...")
This message will disappear after all relevant tasks have been resolved.
Semantic MediaWiki
There are 1 incomplete or pending task to finish installation of Semantic MediaWiki. An administrator or user with sufficient rights can complete it. This should be done before adding new data to avoid inconsistencies.To convert a .tflite model to the ONNX format, ONNX provides a tool named tf2onnx [1], which is very simple to use.
The first step is to install Tensorflow on the host computer. For test purposes it might be useful to install also ONNX Runtime. The tool tf2onnx uses the versions of Tensorflow and ONNX Runtime already installed. If it does not find any, it installs the most recent versions.
The second step is to install tf2onnx:
- Install from pypi :
pip install -U tf2onnx
or
- Install latest from GitHub:
pip install git+https://github.com/onnx/tensorflow-onnx
After the installation, the user is able to convert the .tflite model directly using the following command line:
python -m tf2onnx.convert --opset 16 --tflite path/to/tflite/model.tflite --output path/to/onnx/model/model.onnx
Native ONNX models are also available in the ONNX Model Zoo [2].