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Showing content from https://docs.pytorch.org/docs/stable/generated/torch.logical_and.html below:

torch.logical_and — PyTorch 2.7 documentation

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 as True.

Parameters

• input (Tensor) – the input tensor.

• other (Tensor) – the tensor to compute AND with

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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