onnx model conversion
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Description
onnx model conversion
how to convert the trained resnet model into onnx
After training the https://github.com/onnx/models/blob/bec48b6a70e5e9042c0badbaafefe4454e072d08/validated/vision/classification/resnet/train_resnet.ipynb models are saved in params folder (1.0000-imagenet-resnet50_v1-0000.params, 1.0000-imagenet-resnet50_v1-symbol.json)
How to convert this model format into onnx?
Any conversion code is available?
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading validated/vision/classification/resnet/train_resnet.ipynb and reviewing the generated params files, 1.0000-imagenet-resnet50_v1-0000.params and 1.0000-imagenet-resnet50_v1-symbol.json. Determine the supported conversion path for this trained model format and document a reproducible procedure or example; done means the conversion steps are clear and produce an ONNX model.
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Assessment
- Tech stack
- jupyter-notebook
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100