torch_erf: Erf
In torch: Tensors and Neural Networks with 'GPU' Acceleration
View source: R/gen-namespace.R
torch_erf R Documentation
Erf
Description
Erf
Usage
torch_erf(self)
Arguments
self
(Tensor) the input tensor.
erf(input, out=NULL) -> Tensor
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
Examples
if (torch_is_installed()) {
torch_erf(torch_tensor(c(0, -1., 10.)))
}
torch documentation built on June 7, 2023, 6:19 p.m.
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View source: R/gen-namespace.R
| torch_erf | R Documentation |
Erf
Description
Erf
Usage
torch_erf(self)
Arguments
self |
(Tensor) the input tensor. |
erf(input, out=NULL) -> Tensor
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
Examples
if (torch_is_installed()) {
torch_erf(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.
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