torch: torch_logical_not – R documentation

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torch

torch_logical_not

Logical_not

Description

Logical_not

Arguments

self

(Tensor) the input tensor.

logical_not(input, out=NULL) -> Tensor

Computes the element-wise logical NOT of the given input tensor. If not specified, the output tensor will have the bool dtype. If the input tensor is not a bool tensor, zeros are treated as FALSE and non-zeros are treated as TRUE.

Examples

if (torch_is_installed()) {

torch_logical_not(torch_tensor(c(TRUE, FALSE)))
torch_logical_not(torch_tensor(c(0, 1, -10), dtype=torch_int8()))
torch_logical_not(torch_tensor(c(0., 1.5, -10.), dtype=torch_double()))
}

torch

Tensors and Neural Networks with 'GPU' Acceleration

v0.3.0

MIT + file LICENSE

Authors

Daniel Falbel [aut, cre, cph], Javier Luraschi [aut], Dmitriy Selivanov [ctb], Athos Damiani [ctb], Christophe Regouby [ctb], Krzysztof Joachimiak [ctb], RStudio [cph]

Initial release

torch_logical_not

Description

Arguments

logical_not(input, out=NULL) -> Tensor

Examples

torch

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