torch_eig

(Tensor) the square matrix of shape \((n \times n)\) for which the eigenvalues and eigenvectors will be computed

input

(bool) <code>True</code> to compute both eigenvalues and eigenvectors; otherwise, only eigenvalues will be computed

eigenvectors

(tuple, optional) the output tensors

Provides functionality to define and train neural networks similar to
'PyTorch' by Paszke et al (2019) <arXiv:1912.01703> but written entirely in R
using the 'libtorch' library. Also supports low-level tensor operations and
'GPU' acceleration.

Daniel Falbel

torch

Tensors and Neural Networks with 'GPU' Acceleration

Javier Luraschi

Dmitriy Selivanov

Athos Damiani

 RStudio

torch_eig function

Computes the eigenvalues and eigenvectors of a real square matrix.

torch_eig: Eig

Description

Arguments

eig(input, eigenvectors=False, out=None) -> (Tensor, Tensor)

Description

Arguments

eig(input, eigenvectors=False, out=None) -&gt; (Tensor, Tensor)

eig(input, eigenvectors=False, out=None) -> (Tensor, Tensor)