torch_logical_and: Logical_and

In torch: Tensors and Neural Networks with 'GPU' Acceleration

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 documentation built on June 7, 2023, 6:19 p.m.