Implement dpnp.linalg.lu_factor 2D inputs#2557
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vlad-perevezentsev merged 19 commits intomasterfrom Aug 28, 2025
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View rendered docs @ https://intelpython.github.io/dpnp/index.html |
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Array API standard conformance tests for dpnp=0.19.0dev3=py313h509198e_30 ran successfully. |
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This PR suggests adding `dpnp.linalg.lu_factor()` for 2D arrays similar to `scipy.linalg.lu_factor` Support for ND inputs will be added in the next phase. In addition, this PR includes: 1. An updated implementation of `getrf` to support non-square matrices. 2. Refactoring of `_lu_factor()` by splitting the logic into separate functions to improve readability and maintainability. 6eb6f6f
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This PR suggests extending `dpnp.linalg.lu_factor()` #2557 for batch arrays In addition, this PR includes: An updated implementation of getrf_batch to support non-square matrices
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| Whether to overwrite data in `a` (may increase performance) | ||
| Default: ``False``. |
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Whether to overwrite data in `a` (may increase performance).
Default: ``False``.| check_finite : {None, bool}, optional | ||
| Whether to check that the input matrix contains only finite numbers. | ||
| Disabling may give a performance gain, but may result in problems | ||
| (crashes, non-termination) if the inputs do contain infinities or NaNs. |
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| Returns | ||
| ------- | ||
| lu :(M, N) dpnp.ndarray |
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sems space is missing: lu : (M, N)
| lu :(M, N) dpnp.ndarray | ||
| Matrix containing U in its upper triangle, and L in its lower triangle. | ||
| The unit diagonal elements of L are not stored. | ||
| piv (K, ): dpnp.ndarray |
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piv : (K, ) dpnp.ndarray
| return dpnp_lstsq(a, b, rcond=rcond) | ||
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| def lu_factor(a, overwrite_a=False, check_finite=True): |
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The documentation for the function is not rendering
| if any(dev_info_h): | ||
| diag_nums = ", ".join(str(v) for v in dev_info_h if v > 0) | ||
| warn( | ||
| f"Diagonal number {diag_nums} are exactly zero. Singular matrix.", |
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"Diagonal number {diag_nums} is exactly zero. Singular matrix."
antonwolfy
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Sep 1, 2025
| a_h.get_array(), | ||
| ipiv_h.get_array(), | ||
| dev_info_h, | ||
| depends=[copy_ev] if copy_ev is not None else [], |
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It must depend on _manager.submitted_events if copy is None
vlad-perevezentsev
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Sep 4, 2025
This PR suggests adding `dpnp.linalg.lu_factor()` for 2D arrays similar to `scipy.linalg.lu_factor` Support for ND inputs will be added in the next phase. In addition, this PR includes: 1. An updated implementation of `getrf` to support non-square matrices. 2. Refactoring of `_lu_factor()` by splitting the logic into separate functions to improve readability and maintainability.
vlad-perevezentsev
added a commit
that referenced
this pull request
Sep 4, 2025
This PR suggests extending `dpnp.linalg.lu_factor()` #2557 for batch arrays In addition, this PR includes: An updated implementation of getrf_batch to support non-square matrices
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This PR suggests adding
dpnp.linalg.lu_factor()for 2D arrays similar toscipy.linalg.lu_factorSupport for ND inputs will be added in the next phase.
In addition, this PR includes:
getrfto support non-square matrices._lu_factor()by splitting the logic into separate functions to improve readability and maintainability.