Fix bug in local_blockwise_advanced_inc_subtensor #1405
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ricardoV94
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Pull Request Overview
This PR fixes a bug in the local_blockwise_advanced_inc_subtensor functionality and extends test coverage to handle cases with both batched and unbatched core_y.
- Updated the test for local_blockwise_advanced_inc_subtensor with a new parameter (core_y_implicitly_batched) and random integer generation for improved variation.
- Modified the subtensor rewriting function to automatically apply expand_dims on y when necessary and adjusted symbolic index extraction.
Reviewed Changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated 1 comment.
| File | Description |
|---|---|
| tests/tensor/rewriting/test_subtensor.py | Extended test scenarios to cover both implicit batching and non-batching for core_y, refactoring expected behavior using a unified inplace function. |
| pytensor/tensor/rewriting/subtensor.py | Fixed bug in handling implicit dimensions by introducing expand_dims for y, and updated the extraction of symbolic indices accordingly. |
| symbolic_idxs = x[tuple(new_idxs)].owner.inputs[1:] | ||
| x_view = x[tuple(new_idxs)] | ||
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| # We need to introduce any implicit expand_dims on core dimension of y |
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[nitpick] Consider expanding the comment to clarify why x_view is obtained and used for reassigning symbolic_idxs. This additional context would improve code maintainability.
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Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## main #1405 +/- ##
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Coverage 82.10% 82.10%
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Files 208 208
Lines 49576 49581 +5
Branches 8791 8792 +1
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+ Hits 40704 40709 +5
Misses 6699 6699
Partials 2173 2173
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jessegrabowski
approved these changes
May 21, 2025
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This showed up when trying to vectorize statespace models
📚 Documentation preview 📚: https://pytensor--1405.org.readthedocs.build/en/1405/