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 May 29, 2024, 9:54 a.m.
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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.
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