torch_logspace {torch} | R Documentation |
Logspace
Description
Logspace
Usage
torch_logspace(
start,
end,
steps = 100,
base = 10,
dtype = NULL,
layout = NULL,
device = NULL,
requires_grad = FALSE
)
Arguments
start |
(float) the starting value for the set of points |
end |
(float) the ending value for the set of points |
steps |
(int) number of points to sample between |
base |
(float) base of the logarithm function. Default: |
dtype |
( |
layout |
( |
device |
( |
requires_grad |
(bool, optional) If autograd should record operations on the returned tensor. Default: |
logspace(start, end, steps=100, base=10.0, out=NULL, dtype=NULL, layout=torch.strided, device=NULL, requires_grad=False) -> Tensor
Returns a one-dimensional tensor of steps
points
logarithmically spaced with base base
between
{\mbox{base}}^{\mbox{start}}
and {\mbox{base}}^{\mbox{end}}
.
The output tensor is 1-D of size steps
.
Examples
if (torch_is_installed()) {
torch_logspace(start=-10, end=10, steps=5)
torch_logspace(start=0.1, end=1.0, steps=5)
torch_logspace(start=0.1, end=1.0, steps=1)
torch_logspace(start=2, end=2, steps=1, base=2)
}