Add JAX dispatch for CholeskySolve Op

[jessegrabowski]

Description

Adds a JAX dispatch for the CholeskySolve Op. Nobody ever uses this function (although it's quite nice), so nobody cared that we didn't have this. Now it matters because of the rewrites introduced in #1461. Graphs that benefit from this rewrite (basically any PyMC model with an MvNormal....) will error in JAX mode because the Op is missing.

Related Issue

• Closes Add jax dispatch for ChoSolve #1484
• Related to Solve to ChoSolve optimizations #1461

Checklist

• Checked that the pre-commit linting/style checks pass
• Included tests that prove the fix is effective or that the new feature works
• Added necessary documentation (docstrings and/or example notebooks)
• If you are a pro: each commit corresponds to a relevant logical change

Type of change

• New feature / enhancement
• Bug fix
• Documentation
• Maintenance
• Other (please specify):

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📚 Documentation preview 📚: https://pytensor--1491.org.readthedocs.build/en/1491/

[Copilot]

Pull Request Overview

This PR adds a new JAX dispatch implementation for the CholeskySolve Op to support models that use Cholesky-based solutions in JAX mode. The key changes include:

• Adding tests for the JAX implementation of cho_solve in tests/link/jax/test_slinalg.py.
• Updating the cho_solve function signature and docstring in pytensor/tensor/slinalg.py.
• Implementing and registering a new JAX dispatch function for CholeskySolve in pytensor/link/jax/dispatch/slinalg.py.

Reviewed Changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated 1 comment.

File	Description
tests/link/jax/test_slinalg.py	Added new tests for the CholeskySolve dispatch functionality.
pytensor/tensor/slinalg.py	Updated cho_solve function signature and documentation.
pytensor/link/jax/dispatch/slinalg.py	Added JAX dispatch for the CholeskySolve Op.

Comments suppressed due to low confidence (1)

tests/link/jax/test_slinalg.py:338

• [nitpick] The test function is named 'test_jax_chosolve', but the operator and primary function name is 'cho_solve'. For clarity and consistency, consider renaming the test to 'test_jax_cho_solve'.

@pytest.mark.parametrize("b_shape, lower", [((5,), True), ((5, 5), False)])

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

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Additional details and impacted files

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  Files           ?      214           
  Lines           ?    50439           
  Branches        ?     8907           
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  Hits            ?    41370           
  Misses          ?     6861           
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Files with missing lines	Coverage Δ
pytensor/link/jax/dispatch/slinalg.py	94.50% <100.00%> (ø)
pytensor/tensor/slinalg.py	93.18% <100.00%> (ø)

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