how to find the mapping relation between onnx node and pytorch layer?
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Description
recently, i want to analysis the time of model inference. I can see the most time consuming node op in the layer details by some tools, but the node name conv_785 is confusing. because the conv is very normal in the model structure. it's difficult for me to find the right layer in the model. is there any convinent way to find the right mapping relationship between onnx node and pytorch layer? thanks.
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Research direction
The issue names no repository file, test, or entry point; start by determining how ONNX node names relate to layers in the PyTorch model. Done would require a documented, reproducible way to identify the corresponding PyTorch layer for a node such as conv_785.
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Assessment
- Tech stack
- pytorch
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100