torch_isneginf: Isneginf
In torch: Tensors and Neural Networks with 'GPU' Acceleration
View source: R/gen-namespace.R
torch_isneginf R Documentation
Isneginf
Description
Isneginf
Usage
torch_isneginf(self)
Arguments
self
(Tensor) the input tensor.
isneginf(input, *, out=None) -> Tensor
Tests if each element of input is negative infinity or not.
Examples
if (torch_is_installed()) {
a <- torch_tensor(c(-Inf, Inf, 1.2))
torch_isneginf(a)
}
torch documentation built on May 29, 2024, 9:54 a.m.
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View source: R/gen-namespace.R
| torch_isneginf | R Documentation |
Isneginf
Description
Isneginf
Usage
torch_isneginf(self)
Arguments
self |
(Tensor) the input tensor. |
isneginf(input, *, out=None) -> Tensor
Tests if each element of input is negative infinity or not.
Examples
if (torch_is_installed()) {
a <- torch_tensor(c(-Inf, Inf, 1.2))
torch_isneginf(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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