Print weights of model loaded from Pytorch model to ONNX`
Nobody has claimed this yet.
- Dominant language
- Jupyter Notebook
- Stars
- 9.8k
- Forks
- 1.6k
- PR merge metrics
- No merged PRs in 30d
Description
I am loaded a semantic segmentation model from Pytorch to ONNX. I wanted to check whether the difference of the weights is zero or not so as to get an idea whether weight conversion is happening correctly.
Is there any way to do that ?
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
No source file or test is identified. Start by locating the model-loading and conversion entry points for PyTorch and ONNX models, then determine whether weight comparison belongs in the model utilities or documentation. Done means providing a reproducible way to inspect and compare the loaded weights, with coverage for the semantic-segmentation case.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- pytorch
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100