torch_rsqrt: Rsqrt
In torch: Tensors and Neural Networks with 'GPU' Acceleration
View source: R/gen-namespace.R
torch_rsqrt R Documentation
Rsqrt
Description
Rsqrt
Usage
torch_rsqrt(self)
Arguments
self
(Tensor) the input tensor.
rsqrt(input, out=NULL) -> Tensor
Returns a new tensor with the reciprocal of the square-root of each of
the elements of input.
\mbox{out}_{i} = \frac{1}{\sqrt{\mbox{input}_{i}}}
Examples
if (torch_is_installed()) {
a = torch_randn(c(4))
a
torch_rsqrt(a)
}
torch documentation built on May 29, 2024, 9:54 a.m.
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View source: R/gen-namespace.R
| torch_rsqrt | R Documentation |
Rsqrt
Description
Rsqrt
Usage
torch_rsqrt(self)
Arguments
self |
(Tensor) the input tensor. |
rsqrt(input, out=NULL) -> Tensor
Returns a new tensor with the reciprocal of the square-root of each of
the elements of input.
\mbox{out}_{i} = \frac{1}{\sqrt{\mbox{input}_{i}}}
Examples
if (torch_is_installed()) {
a = torch_randn(c(4))
a
torch_rsqrt(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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