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.

Sign up for GitHub

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.matrix_norm #565

Merged
merged 1 commit into from
Dec 14, 2022
Merged

Add complex number support to linalg.matrix_norm #565

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions spec/API_specification/array_api/linalg.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -195,7 +195,7 @@ def matrix_norm(x: array, /, *, keepdims: bool = False, ord: Optional[Union[int,
Parameters
----------
x: array
input array having shape ``(..., M, N)`` and whose innermost two dimensions form ``MxN`` matrices. Should have a real-valued floating-point data type.
input array having shape ``(..., M, N)`` and whose innermost two dimensions form ``MxN`` matrices. Should have a floating-point data type.
keepdims: bool
If ``True``, the last two axes (dimensions) must be included in the result as singleton dimensions, and, accordingly, the result must be compatible with the input array (see :ref:`broadcasting`). Otherwise, if ``False``, the last two axes (dimensions) must not be included in the result. Default: ``False``.
ord: Optional[Union[int, float, Literal[inf, -inf, 'fro', 'nuc']]]
Expand Down Expand Up @@ -238,7 +238,7 @@ def matrix_norm(x: array, /, *, keepdims: bool = False, ord: Optional[Union[int,
Returns
-------
out: array
an array containing the norms for each ``MxN`` matrix. If ``keepdims`` is ``False``, the returned array must have a rank which is two less than the rank of ``x``. The returned array must have a real-valued floating-point data type determined by :ref:`type-promotion`.
an array containing the norms for each ``MxN`` matrix. If ``keepdims`` is ``False``, the returned array must have a rank which is two less than the rank of ``x``. If ``x`` has a real-valued data type, the returned array must have a real-valued floating-point data type determined by :ref:`type-promotion`. If ``x`` has a complex-valued data type, the returned array must have a real-valued floating-point data type whose precision matches the precision of ``x`` (e.g., if ``x`` is ``complex128``, then the returned array must have a ``float64`` data type).
"""

def matrix_power(x: array, n: int, /) -> array:
Expand Down