pymc-devs / pymc-devs/pytensor
Implement `infer_shape` automatically from `gufunc_signature`
Open
Nobody has claimed this yet.
Op implementation
refactor
shape inference
- Dominant language
- Python
- Stars
- 644
- Forks
- 208
- Avg merge
- 2d 14h
- Merged PRs (30d)
- 16
Description
Description
For Ops with a gufunc_signature, we can automate infer_shape implementation:
We actually already do it for the Blockwise Wrapper:
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 reading the referenced infer_shape implementation in pytensor/tensor/slinalg.py and the existing gufunc_signature handling in pytensor/tensor/blockwise.py. Trace how the Blockwise Wrapper derives shapes, then determine the corresponding shared behavior for Ops; done means Ops with a gufunc_signature no longer need manual infer_shape implementations.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- backend
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100