Numba CAReduce: respect acc_dtype #1773
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ricardoV94
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ricardoV94
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Pull request overview
This PR fixes the Numba backend implementation of CAReduce operations to properly respect the acc_dtype (accumulation dtype) parameter and corrects the handling of infinity identities for unsigned integer types.
Key Changes:
- Modified
create_multiaxis_reducerto properly handleacc_dtypeparameter separate fromout_dtype, including support for complex-to-real conversions - Fixed infinity identity values for discrete (unsigned/signed integer) types by replacing infinite values with appropriate min/max values
- Updated
__str__methods inCAReduceandFixedOpCAReduceto display accumulation dtype when it differs from output dtype
Reviewed changes
Copilot reviewed 4 out of 4 changed files in this pull request and generated 3 comments.
| File | Description |
|---|---|
| tests/link/numba/test_elemwise.py | Adds three new tests: verifying acc_dtype is respected during accumulation, testing complex-to-float conversions, and testing discrete infinity identities |
| pytensor/tensor/math.py | Updates FixedOpCAReduce.__str__() to display acc_dtype in string representation when different from output dtype |
| pytensor/tensor/elemwise.py | Updates CAReduce.__str__() to display acc_dtype in string representation when different from output dtype |
| pytensor/link/numba/dispatch/elemwise.py | Core implementation changes: refactors create_multiaxis_reducer to handle acc_dtype parameter, fixes infinity identities for discrete types, updates Softmax/SoftmaxGrad/LogSoftmax to use keyword arguments, adds cache versioning |
Also fix infinity identities for unsigned integers
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Also fix infinity identities for unsigned integers
Cherry pick from #811