The following measures are required to resolve framework compatibility issues:
1. Environmental isolation::
- Create a standalone environment using conda (conda create -n fastdeploy python=3.8)
- Strictly install the specified version of PaddlePaddle (paddlepaddle==0.0.0)
2. Back-end control::
- Enable the backend by explicitly declaring it through an environment variable:export ENABLE_ORT_BACKEND=ONexport ENABLE_PADDLE_BACKEND=ON
- or specified in the code (model.set_backend('onnxruntime'))
3. Versioning::
- Regularly check for GitHub updates (FastDeploy updates frequently)
- utilizationfastdeploy.__version__Verifying Version Conformance
4. Dependency checks::
- Ensure base dependencies are complete (OpenCV/Numpy, etc.)
- Recommended for adoptionpython -m pip install -r requirements.txtbatch installation
This answer comes from the articleFastDeploy: an open source tool for rapid deployment of AI modelsThe
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