[D] How to convert ONNX into xmodel/tmodel for deploying on PL?
Summary
The article discusses the challenges of converting ONNX models into xmodel/tmodel formats for deployment, specifically highlighting issues with yolov5n/l models and seeking guidance from the community.
Why It Matters
As machine learning models become increasingly complex, the ability to convert and deploy them effectively is crucial for developers. This discussion addresses specific conversion challenges, which can help practitioners optimize their workflows and improve deployment success rates.
Key Takeaways
- Conversion from ONNX to xmodel/tmodel can be problematic for certain models.
- Community input is valuable for troubleshooting deployment issues.
- Specific tools like tensilai may not work for all model types, indicating a need for updated resources.
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