Lightning-AI / Lightning-AI/pytorch-lightning
How to debug in the training process
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- Python
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Description
### 📚 Documentation
How to debug using the example_input_array? Why does the Documentation only have the example of 'self.example_input_array = torch.Tensor(32, 1, 28, 28)' without any more statements showing the input and the output.
If you don't want the rookies understand, don't write the Documentation.
You don't need too many documentations, the debug ability in the documentations needs to be strengthen!!!!
cc @borda
Contributor guide
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
The issue points to documentation for example_input_array and the torch.Tensor example; start by locating that documentation and checking the training-process debugging guidance. Done means the page explains how to inspect inputs and outputs with a concrete example.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100