torch_log1p: Log1p
In torch: Tensors and Neural Networks with 'GPU' Acceleration
View source: R/gen-namespace.R
torch_log1p R Documentation
Log1p
Description
Log1p
Usage
torch_log1p(self)
Arguments
self
(Tensor) the input tensor.
log1p(input, out=NULL) -> Tensor
Returns a new tensor with the natural logarithm of (1 + input).
y_i = \log_{e} (x_i + 1)
Note
This function is more accurate than torch_log for small
values of input
Examples
if (torch_is_installed()) {
a = torch_randn(c(5))
a
torch_log1p(a)
}
torch documentation built on May 29, 2024, 9:54 a.m.
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View source: R/gen-namespace.R
| torch_log1p | R Documentation |
Log1p
Description
Log1p
Usage
torch_log1p(self)
Arguments
self |
(Tensor) the input tensor. |
log1p(input, out=NULL) -> Tensor
Returns a new tensor with the natural logarithm of (1 + input).
y_i = \log_{e} (x_i + 1)
Note
This function is more accurate than torch_log for small
values of input
Examples
if (torch_is_installed()) {
a = torch_randn(c(5))
a
torch_log1p(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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