how to choose which layers to quant for faster performace?
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- C++
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Description
in the process of yolov8 int8 quant, i find that some layers(int8) is slower than fp16, and the reformat operation is very time-consuming, for best presion, we can do sensitive-layer analysise to get the proper layer to quant , but for best speed, how should i du to identify which layer to quant?
(some screenshot blow)
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Research direction
The issue provides no repository file, test, or entry point; it only describes YOLOv8 INT8 quantization, slower INT8 layers, and costly reformat operations. Start by locating TensorRT quantization and layer-format selection documentation or examples, then benchmark mixed INT8/FP16 layer choices. Done would require a documented method for identifying the fastest layer combination.
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Assessment
- Tech stack
- cpp
- Domain
- machine-learning, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100