problem with the speed of the Onnx model
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Description
I am converting a model to a pytorch model with and without weights. Without weights, the model works 10 times faster than with them. Why can this be so?
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Research direction
The issue names no model, file, test, command, or entry point. Start by identifying the conversion path and reproducing the speed difference with and without weights; done would be a documented cause supported by a reproducible comparison.
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Assessment
- Tech stack
- pytorch
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100