Unsupported reduction axes !
Open
Nobody has claimed this yet.
- Dominant language
- C++
- Stars
- 23.8k
- Forks
- 4.5k
- Avg merge
- 2d 20h
- Merged PRs (30d)
- 37
Description
In pytorch
...
norm = torch.norm(x, p=2)
return x / norm
I converted this model into onnx and tried to convert to ncnn, got error "Unsupported reduction axes !"
How to pass model conversion by modify pytorch script?
Thanks.
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
Start with the reported PyTorch expression using torch.norm(x, p=2) and reproduce the ONNX-to-ncnn conversion that emits "Unsupported reduction axes !". The issue does not name a source file, test, model, or supported-axis reference; done would require a confirmed conversion workaround or a clarified, reproducible report.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- pytorch
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100