A fork of this: https://github.com/aadhithya/onnx-typecast I've added a script to convert ONNX float16 models to float32, since ONNX Runtime Web doesn't currently support float16. It's very haphazard and I've only tested it with one model. If it misses some nodes, the ONNX runtime should tell you their names (in the error message), and then you can open your model file in netron.app to investigate. You'll then need to add another if statement somewhere around here to handle the currently-unhandled node.
A simple python script to typecast ONNX model parameters from INT64 to INT32, and FLOAT16 to FLOAT(32).
I wanted to play around with ONNX.js and soon figured out that it doesn't support onnx models with INT64 parameters. Also, OpenCV doesn't seem to support INT64 parameters.
- The script goes through the parameters of each node of the onnx model and blindly converts INT64 parameters to INT32.
- It also converts the constant parameters from INT64 to INT32.
- Finally, creates a new model and saves it.
- The script does not handle overflows and blindly converts all INT64 parameters to INT32.
- So ops that require
>INT32.maxor<INT32.minvalues may not perform as expected. - Please feel free to modify the script to account for this.
- simple.
- Install requirements:
pip install -r requirements.txt - run:
python convert-int64-to-int32.py path/to/int64_model.onnx path/to/converted_int32_model.onnx - or:
python convert-float16-to-float32.py path/to/float16_model.onnx path/to/converted_float32_model.onnx