pymc-devs / pymc-devs/pytensor
Arange with constant outputs does not result into a type with constant shape
Open
Nobody has claimed this yet.
enhancement
feature request
shape inference
- Dominant language
- Python
- Stars
- 644
- Forks
- 208
- Avg merge
- 2d 14h
- Merged PRs (30d)
- 16
Description
Describe the issue:
pt.arange allocates a vector of length that depends on input values but the output shape has dynamic type
Reproducable code example:
assert pt.arange(10).type.shape == (10, )
Error message:
(None, ) != (10,)
PyTensor version information:
'2.16.1'
Context for the issue:
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Research direction
Reproduce the assertion with pt.arange(10) and inspect the pt.arange entry point, along with its use in pymc_marketing/mmm/transformers.py at the referenced line. Determine how constant input values affect the reported shape; done means the example reports (10,) instead of (None,).
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- backend
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100