Convert ONNX to PyTorch and Train
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Description
I converted your ONNX model to PyTorch, and now I am trying to Train it.
When I converted to PyTorch, it only accepts this tensor size: [1, 3, 224, 224], and does not accept other batch sizes.
How can I train the converted model with various batch sizes (4, 8, 16, etc)?
In addition, is it possible to train this model, as its type is <class 'torch.fx.graph_module.GraphModule.new..GraphModuleImpl'>?
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First steps
- Read the whole issue, then the project's contributing guide.
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Research direction
The issue names no repository files, tests, or entry points. Start by reproducing the reported fixed [1, 3, 224, 224] input constraint and inspecting the converted model; done means determining whether batch sizes 4, 8, and 16 are supported and whether the reported GraphModule can be trained.
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Assessment
- Tech stack
- pytorch
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100