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Fix terminology within linalg.slogdet docs (#91129)

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This issue was raised in https://github.com/data-apis/array-api/pull/567

Pull Request resolved: https://github.com/pytorch/pytorch/pull/91129
Approved by: https://github.com/kit1980
This commit is contained in:
lezcano
2022-12-19 23:06:07 +00:00
committed by PyTorch MergeBot
parent a5eb564ba4
commit 0210d508cc
1 changed files with 3 additions and 3 deletions
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6
torch/linalg/__init__.py
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@ -371,8 +371,8 @@ the output has the same batch dimensions.
.. seealso::
:func:`torch.linalg.slogdet` computes the sign (resp. angle) and natural logarithm of the
absolute value of the determinant of real-valued (resp. complex) square matrices.
:func:`torch.linalg.slogdet` computes the sign and natural logarithm of the absolute
value of the determinant of square matrices.
Args:
A (Tensor): tensor of shape `(*, n, n)` where `*` is zero or more batch dimensions.
@ -396,7 +396,7 @@ linalg.slogdet(A, *, out=None) -> (Tensor, Tensor)
Computes the sign and natural logarithm of the absolute value of the determinant of a square matrix.
For complex :attr:`A`, it returns the angle and the natural logarithm of the modulus of the
For complex :attr:`A`, it returns the sign and the natural logarithm of the modulus of the
determinant, that is, a logarithmic polar decomposition of the determinant.
The determinant can be recovered as `sign * exp(logabsdet)`.