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torch_logical_and

Logical_and


Description

Logical_and

Usage

torch_logical_and(self, other)

Arguments

self

(Tensor) the input tensor.

other

(Tensor) the tensor to compute AND with

logical_and(input, other, out=NULL) -> Tensor

Computes the element-wise logical AND of the given input tensors. Zeros are treated as FALSE and nonzeros are treated as TRUE.

Examples

if (torch_is_installed()) {

torch_logical_and(torch_tensor(c(TRUE, FALSE, TRUE)), torch_tensor(c(TRUE, FALSE, FALSE)))
a = torch_tensor(c(0, 1, 10, 0), dtype=torch_int8())
b = torch_tensor(c(4, 0, 1, 0), dtype=torch_int8())
torch_logical_and(a, b)
## Not run: 
torch_logical_and(a, b, out=torch_empty(4, dtype=torch_bool()))

## End(Not run)
}

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

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