torch: torch_count_nonzero – R documentation

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torch

torch_count_nonzero

Count_nonzero

Description

Count_nonzero

Usage

torch_count_nonzero(self, dim = NULL)

Arguments

`self`	(Tensor) the input tensor.
`dim`	(int or tuple of ints, optional) Dim or tuple of dims along which to count non-zeros.

count_nonzero(input, dim=None) -> Tensor

Counts the number of non-zero values in the tensor input along the given dim. If no dim is specified then all non-zeros in the tensor are counted.

Examples

if (torch_is_installed()) {

x <- torch_zeros(3,3)
x[torch_randn(3,3) > 0.5] = 1
x
torch_count_nonzero(x)
torch_count_nonzero(x, dim=1)
}

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_count_nonzero

Description

Usage

Arguments

count_nonzero(input, dim=None) -> Tensor

Examples

torch

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