Lightning-AI / Lightning-AI/lightning-thunder
A notebook showcasing the `debug_execution_trace` (DebugTransform)
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documentation
transforms
- Dominant language
- Python
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- 1.5k
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Description
A notebook showcasing the transform would be cool, too
_Originally posted by @mruberry in https://github.com/Lightning-AI/lightning-thunder/pull/978#discussion_r1720001185_
cc @borda @apaz-cli
Contributor guide
No contributing guide indexed for this repository
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 locating the debug_execution_trace entry point and DebugTransform implementation, then review existing notebooks for the project's conventions. Add a notebook that showcases the transform and demonstrates its execution trace behavior; done means the notebook runs and clearly illustrates the feature.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100