Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Add complex number support to linalg.svd #561

Merged
merged 2 commits into from
Dec 14, 2022
Merged

Add complex number support to linalg.svd #561

merged 2 commits into from
Dec 14, 2022

Conversation

kgryte
Copy link
Contributor

@kgryte kgryte commented Dec 12, 2022

This PR

  • adds complex number support to linalg.svd.
  • updates the allowed data types from real-valued floating-point to any floating-point data type.
  • requires that the output arrays U and Vh must have the same data type as the input array and that S must be unconditionally real.
  • adds an extended description describing the operation.
  • makes explicit that, for matrix stacks, the SVD must be computed for each matrix in the stack.

@kgryte kgryte added API change Changes to existing functions or objects in the API. topic: Complex Data Types Complex number data types. topic: Linear Algebra Linear algebra. labels Dec 12, 2022
@kgryte kgryte added this to the v2022 milestone Dec 12, 2022
Copy link
Member

@rgommers rgommers left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Additions LGTM, nice to have a bit more detail on what the function does. Thanks @kgryte

full_matrices: bool
If ``True``, compute full-sized ``U`` and ``Vh``, such that ``U`` has shape ``(..., M, M)`` and ``Vh`` has shape ``(..., N, N)``. If ``False``, compute on the leading ``K`` singular vectors, such that ``U`` has shape ``(..., M, K)`` and ``Vh`` has shape ``(..., K, N)`` and where ``K = min(M, N)``. Default: ``True``.

Returns
-------
..
NOTE: once complex numbers are supported, each square matrix must be Hermitian.
Copy link
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

This code comment got removed. I believe that is correct - the comment is wrong. My guess is that it was added when looking at the hermitian boolean keyword for numpy.linalg.svd

@rgommers rgommers merged commit fdfa5bd into main Dec 14, 2022
@rgommers rgommers deleted the cmplx-linalg-svd branch December 14, 2022 19:58
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
API change Changes to existing functions or objects in the API. topic: Complex Data Types Complex number data types. topic: Linear Algebra Linear algebra.
Projects
None yet
Development

Successfully merging this pull request may close these issues.

2 participants