torch: torch_eig – R documentation

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Documentation

torch

torch_eig

Eig

Description

Eig

Usage

torch_eig(self, eigenvectors = FALSE)

Arguments

`self`	(Tensor) the square matrix of shape (n \times n) for which the eigenvalues and eigenvectors will be computed
`eigenvectors`	(bool) `TRUE` to compute both eigenvalues and eigenvectors; otherwise, only eigenvalues will be computed

eig(input, eigenvectors=False, out=NULL) -> (Tensor, Tensor)

Computes the eigenvalues and eigenvectors of a real square matrix.

Note

Since eigenvalues and eigenvectors might be complex, backward pass is supported only
for [`torch_symeig`]

torch

Tensors and Neural Networks with 'GPU' Acceleration

v0.3.0

MIT + file LICENSE

Authors

Daniel Falbel [aut, cre, cph], Javier Luraschi [aut], Dmitriy Selivanov [ctb], Athos Damiani [ctb], Christophe Regouby [ctb], Krzysztof Joachimiak [ctb], RStudio [cph]

Initial release

torch_eig

Description

Usage

Arguments

eig(input, eigenvectors=False, out=NULL) -> (Tensor, Tensor)

Note

torch

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