torch_absolute

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_absolute function

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

Arguments

Alias for <code>torch_abs()</code>

absolute(input, *, out=None) -&gt; Tensor

Absolute — torch_absolute

<dl>

<dt>self</dt>
<dd>(Tensor) the input tensor.</dd>

</dl>

Alias for <code>torch_abs()</code>

torch_absolute: Absolute

Description

Usage

Arguments

absolute(input, *, out=None) -> Tensor

Description

Usage

Arguments

absolute(input, *, out=None) -&gt; Tensor

absolute(input, *, out=None) -> Tensor