torch_acosh: Acosh
In torch: Tensors and Neural Networks with 'GPU' Acceleration
View source: R/gen-namespace.R
torch_acosh R Documentation
Acosh
Description
Acosh
Usage
torch_acosh(self)
Arguments
self
(Tensor) the input tensor.
acosh(input, *, out=None) -> Tensor
Returns a new tensor with the inverse hyperbolic cosine of the elements of input.
Note
The domain of the inverse hyperbolic cosine is [1, inf) and values outside this range
will be mapped to NaN, except for + INF for which the output is mapped to + INF.
\mbox{out}_{i} = \cosh^{-1}(\mbox{input}_{i})
Examples
if (torch_is_installed()) {
a <- torch_randn(c(4))$uniform_(1, 2)
a
torch_acosh(a)
}
torch documentation built on June 7, 2023, 6:19 p.m.
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View source: R/gen-namespace.R
| torch_acosh | R Documentation |
Acosh
Description
Acosh
Usage
torch_acosh(self)
Arguments
self |
(Tensor) the input tensor. |
acosh(input, *, out=None) -> Tensor
Returns a new tensor with the inverse hyperbolic cosine of the elements of input.
Note
The domain of the inverse hyperbolic cosine is [1, inf) and values outside this range
will be mapped to NaN, except for + INF for which the output is mapped to + INF.
\mbox{out}_{i} = \cosh^{-1}(\mbox{input}_{i})
Examples
if (torch_is_installed()) {
a <- torch_randn(c(4))$uniform_(1, 2)
a
torch_acosh(a)
}
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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