Visualizing a mlir converted model
Open
Nobody has claimed this yet.
- Dominant language
- C++
- Stars
- 1.9k
- Forks
- 736
- Avg merge
- 5d 22h
- Merged PRs (30d)
- 15
Description
Hi, I wanted to know if there is a way I can save a model after torch_mlir compile and then visualize that model to see how the lowering of operators is happening. This will be really helpful for me to understand this.
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 investigating the torch_mlir compile flow and how lowered operators are represented after compilation. Determine whether the project already exposes a model-save or visualization entry point; done would require a documented, reproducible way to inspect operator lowering, but the issue does not name files or tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp, pytorch
- Domain
- compilers, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100