torch_erfc: Erfc
In torch: Tensors and Neural Networks with 'GPU' Acceleration
View source: R/gen-namespace.R
torch_erfc R Documentation
Erfc
Description
Erfc
Usage
torch_erfc(self)
Arguments
self
(Tensor) the input tensor.
erfc(input, out=NULL) -> Tensor
Computes the complementary error function of each element of input.
The complementary error function is defined as follows:
\mathrm{erfc}(x) = 1 - \frac{2}{\sqrt{\pi}} \int_{0}^{x} e^{-t^2} dt
Examples
if (torch_is_installed()) {
torch_erfc(torch_tensor(c(0, -1., 10.)))
}
torch documentation built on June 7, 2023, 6:19 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
View source: R/gen-namespace.R
| torch_erfc | R Documentation |
Erfc
Description
Erfc
Usage
torch_erfc(self)
Arguments
self |
(Tensor) the input tensor. |
erfc(input, out=NULL) -> Tensor
Computes the complementary error function of each element of input.
The complementary error function is defined as follows:
\mathrm{erfc}(x) = 1 - \frac{2}{\sqrt{\pi}} \int_{0}^{x} e^{-t^2} dt
Examples
if (torch_is_installed()) {
torch_erfc(torch_tensor(c(0, -1., 10.)))
}
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.