How many ways to speed up the time during Conveting onnx-->Tensorrt?
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Description
How many ways to speed up the time during Conveting onnx-->Tensorrt? While I convert an model Costing 10mins or more，Hope for some ways to reduce time.
I am Converting an Yolo8 instance model on platforms RTX 1650，and some else model will be used as well.
If mudually set tensorrt layers, be sooner? Or any other ways, Thanks for suggestions.
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Research direction
Start by examining the reported ONNX-to-TensorRT conversion of a YOLOv8 instance model on an RTX 1650 and identify what part of the conversion consumes the reported 10 minutes or more. Compare the suggested manual TensorRT layer configuration with other approaches, and consider the work complete only when a specific, reproducible way to reduce conversion time is established.
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Assessment
- Domain
- machine-learning, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100