torch / torch
torch.logical_and¶
-
torch.
logical_and
(input, other, *, out=None) → Tensor¶ Computes the element-wise logical AND of the given input tensors. Zeros are treated as
False
and nonzeros are treated asTrue
.- Parameters
- Keyword Arguments
out (Tensor, optional) – the output tensor.
Example:
>>> torch.logical_and(torch.tensor([True, False, True]), torch.tensor([True, False, False])) tensor([ True, False, False]) >>> a = torch.tensor([0, 1, 10, 0], dtype=torch.int8) >>> b = torch.tensor([4, 0, 1, 0], dtype=torch.int8) >>> torch.logical_and(a, b) tensor([False, False, True, False]) >>> torch.logical_and(a.double(), b.double()) tensor([False, False, True, False]) >>> torch.logical_and(a.double(), b) tensor([False, False, True, False]) >>> torch.logical_and(a, b, out=torch.empty(4, dtype=torch.bool)) tensor([False, False, True, False])
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