Put some more better practices in custom operator tutorial
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torchscript
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- Python
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Description
Given our experience with internal users of custom operator registration API, there are some more important things the tutorial should cover:
- Handling non-contiguous inputs
- How to use TensorIterator for easy pointwise operators
- (FB only) The rest of the scaffolding you need for fbcode
cc @dzhulgakov
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 by locating the custom operator registration API tutorial in the PyTorch tutorials repository and review its existing coverage. Done means the tutorial explains handling non-contiguous inputs, using TensorIterator for pointwise operators, and the additional fbcode scaffolding for Facebook users.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100