torch_abs

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_abs function

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

Arguments

Computes the element-wise absolute value of the given <code>input</code> tensor.
$$
 \mbox{out}_{i} = |\mbox{input}_{i}|
$$

abs(input) -&gt; Tensor 

Abs — torch_abs

<dl>

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

</dl>

Computes the element-wise absolute value of the given <code>input</code> tensor.
$$
 \mbox{out}_{i} = |\mbox{input}_{i}|
$$

torch_abs: Abs

Description

Usage

Arguments

abs(input) -> Tensor

Examples

Description

Usage

Arguments

abs(input) -&gt; Tensor

Examples

abs(input) -> Tensor