torch_kron

Computes the Kronecker product of <code>self</code> and <code>other</code>.

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

Christophe Regouby

Krzysztof Joachimiak

Hamada S. Badr

 RStudio

torch_kron function

<dl><dt>self</dt>
<dd>(<code>Tensor</code>) input Tensor</dd>
<dt>other</dt>
<dd>(<code>Tensor</code>) other tensor.</dd></dl>

Arguments

Kronecker product — torch_kron

<dl>

<dt>self</dt>
<dd>(<code>Tensor</code>) input Tensor</dd>


<dt>other</dt>
<dd>(<code>Tensor</code>) other tensor.</dd>

</dl>

torch_kron: Kronecker product

Description

Usage

Arguments