torch_erf

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_erf function

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

Arguments

Computes the error function of each element. The error function is defined as follows:
$$
 \mathrm{erf}(x) = \frac{2}{\sqrt{\pi}} \int_{0}^{x} e^{-t^2} dt
$$

erf(input, out=NULL) -&gt; Tensor 

Erf — torch_erf

<dl>

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

</dl>

Computes the error function of each element. The error function is defined as follows:
$$
 \mathrm{erf}(x) = \frac{2}{\sqrt{\pi}} \int_{0}^{x} e^{-t^2} dt
$$

The Learning Leader's Guide to AI Literacy

torch_erf: Erf

Description

Usage

Arguments

erf(input, out=NULL) -> Tensor

Examples

The Learning Leader's Guide to AI Literacy

Description

Usage

Arguments

erf(input, out=NULL) -&gt; Tensor

Examples

erf(input, out=NULL) -> Tensor