torch_erfc

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_erfc function

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

Arguments

Computes the complementary error function of each element of <code>input</code>.
The complementary error function is defined as follows:
$$
 \mathrm{erfc}(x) = 1 - \frac{2}{\sqrt{\pi}} \int_{0}^{x} e^{-t^2} dt
$$

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

Erfc — torch_erfc

<dl>

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

</dl>

Computes the complementary error function of each element of <code>input</code>.
The complementary error function is defined as follows:
$$
 \mathrm{erfc}(x) = 1 - \frac{2}{\sqrt{\pi}} \int_{0}^{x} e^{-t^2} dt
$$

torch_erfc: Erfc

Description

Usage

Arguments

erfc(input, out=NULL) -> Tensor

Examples

Description

Usage

Arguments

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

Examples

erfc(input, out=NULL) -> Tensor