torch: torch_is_nonzero – R documentation

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torch

torch_is_nonzero

Is_nonzero

Description

Is_nonzero

Usage

torch_is_nonzero(self)

Arguments

self

(Tensor) the input tensor.

is_nonzero(input) -> (bool)

Returns TRUE if the input is a single element tensor which is not equal to zero after type conversions. i.e. not equal to torch_tensor(c(0)) or torch_tensor(c(0)) or torch_tensor(c(FALSE)). Throws a RuntimeError if torch_numel() != 1 (even in case of sparse tensors).

Examples

if (torch_is_installed()) {

torch_is_nonzero(torch_tensor(c(0.)))
torch_is_nonzero(torch_tensor(c(1.5)))
torch_is_nonzero(torch_tensor(c(FALSE)))
torch_is_nonzero(torch_tensor(c(3)))
if (FALSE) {
torch_is_nonzero(torch_tensor(c(1, 3, 5)))
torch_is_nonzero(torch_tensor(c()))
}
}

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_is_nonzero

Description

Usage

Arguments

is_nonzero(input) -> (bool)

Examples

torch

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